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Title:
METHOD AND APPARATUS FOR WEB CONTENT STRUCTURE MODELING APPLIED IN WEB CONTENT SUBSCRIPTION
Document Type and Number:
WIPO Patent Application WO/2013/059963
Kind Code:
A1
Abstract:
An approach, regarded as enabling technology, is provided for generating a customizable and consolidated viewable web content collected from one or more sources based on web content structure modeling. The approach involves processing and/or facilitating a processing of one or more web pages to determine a layout/structure defining one or more content portions of the one or more web pages. The approach further involves processing and/or facilitating a processing of one or more selections of the one or more content portions to cause, at least in part, one or more subscriptions to the selected one or more portions. The approach also involves causing, at least in part, a modeling of the one or more web pages to determine one or more changes to the layout, the one or more content portions, or a combination thereof. The approach additionally involves processing and/or facilitating a processing of the modeling to determine one or more updates to the one or more subscriptions.

Inventors:
TIAN JILEI (CN)
TANG JIAN (CN)
JIANG SHAOWEI (CN)
RAO JINGHAI (CN)
YANG XIAOGANG (CN)
LIN YE (CN)
Application Number:
PCT/CN2011/001800
Publication Date:
May 02, 2013
Filing Date:
October 27, 2011
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
NOKIA CORP (FI)
TIAN JILEI (CN)
TANG JIAN (CN)
JIANG SHAOWEI (CN)
RAO JINGHAI (CN)
YANG XIAOGANG (CN)
LIN YE (CN)
International Classes:
G06F17/30
Foreign References:
CN101364236A2009-02-11
CN101676910A2010-03-24
US20100211927A12010-08-19
JP2004086774A2004-03-18
Attorney, Agent or Firm:
KING & WOOD MALLESONS LAWYERS (East Tower World Financial Centre,No.1 Dongsanhuan Zhonglu, Chaoyang District, Beijing 0, CN)
Download PDF:
Claims:
WHAT IS CLAIMED IS:

1. A method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the (1) data and/or (2) information and/or (3) at least one signal based, at least in part, on me following:

a processing of one or more web pages to determine a layout defining one or more content portions of the one or more web pages;

a processing of one or more selections of the one or more content portions to cause, at least in part, one or more subscriptions to the selected one or more portions;

a modeling of the one or more web pages to determine one or more changes to the layout, the one or more content portions, or a combination thereof, and

a processing of the modeling to determine one or more updates to the one or more

subscriptions.

2. A method of claim 1 , wherein the (1) data and/or (2) information and or (3) at least one signal are further based, at least in part, on the following:

one or more deletion variations of the one or more web pages based, at least in part, on the modeling;

a processing of the one or more deletion variations to determine first similarity information; and

a determination of whether the one or more updates to the one or more subscriptions can be performed based, at least in part, on the first similarity information.

3. A method according to any of claims 1 and 2, wherein die (1) data and or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

one or more substitution variations of the one or more web pages based, at least in part, on the modeling; a processing of the one or more substitution variations to determine second similarity information; and

a determination of whether the one or more updates to the one or more subscriptions can be performed based, at least in part, on the second similarity information.

4. A method according to any of claims 1 -3, wherein the (1) data and or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

one or more insertion variations of the one or more web pages based, at least in part, on the modeling;

a processing of the one or more insertion variations to determine third similarity information; and

a determination of whether die one or more updates to the one or more subscriptions can be performed based, at least in part, on the third similarity information.

5. A method according to any of claims 1-4, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

the modeling being based on at least:

one or more nodal strings having one or more hyper text markup language (HTML)

nodes, one or more child nodes, or any combination thereof, and

the determination of the one or more deletion variations, substitution variations, insertion variations, or any combination thereof being based on at least:

a splitting of the one or more nodal strings to determine one or more former HTML nodes and one or more former child nodes;

a splitting of one or more new nodal strings to determine new one or more HTML nodes and one or more new child nodes; and

a comparison of the split one or more nodal strings with the split one or more new nodal strings to determine a variation between the split one or more nodal strings and the split one or more new nodal strings, based at least in part, on a differentiation between the one or more former HTML nodes, the one or more former child nodes, the one or more new HTML nodes and the one or more new child nodes.

6. A method of claim 5, wherein the differentiation between the split one or more nodal strings and the split one or more new nodal strings comprises determining an edit distance between the one or more former HTML nodes, the one or more former child nodes, the one or more new HTML nodes and the one or more new child nodes.

7. A method according to any of claims 1 -6, wherein the (1) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a generation of one or more alerts with respect to die one or more updates to the one or more subscriptions.

8. A method according to 7, wherein the alert is a highlighting of a determined one or more deletion variations, substitution variations, insertion variations, or any combination thereof.

9. A method of claim 8, wherein the (1 ) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a type of variation based, at least in part, on a determination that the variation is one or more of deletion variations, substitution variations, or insertion variations,

wherein the highlighting is a type that corresponds to the determined type of variation and/or the determined edit distance.

10. A method according to any of claims 1 -9, wherein the (1 ) data and/or (2) information and/or (3) at least one signal are further based, at least in part, on the following:

a determination to generate a user interface for rendering of at least one personalized web page based, at least in part, on the one or more subscriptions and the one or more updates.

1 1. An apparatus comprising:

at least one processor, and at least one memory including computer program code for one or more programs, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,

process and or facilitate a processing of one or more web pages to determine a layout

defining one or more content portions of the one or more web pages;

process and/or facilitate a processing of one or more selections of the one or more content portions to cause, at least in part, one or more subscriptions to the selected one or more portions;

cause, at least in part, a modeling of the one or more web pages to determine one or more changes to the layout, the one or more content portions, or a combination thereof; and process and/or facilitate a processing of the modeling to determine one or more updates to the one or more subscriptions.

12. An apparatus of claim 11 , wherein the apparatus is further caused to:

determine one or more deletion variations of the one or more web pages based, at least in part, on the modeling;

process and/or facilitate a processing of the one or more deletion variations to determine first similarity information; and

determine whether the one or more updates to the one or more subscriptions can be

performed based, at least in part, on the first similarity information. 13. An apparatus according to any of claims 11 and 12, wherein the apparatus is further caused to:

determine one or more substitution variations of the one or more web pages based, at least in part, on the modeling;

process and/or facilitate a processing of the one or more substitution variations to determine second similarity information; and

determine whether the one or more updates to the one or more subscriptions can be

performed based, at least in part, on the second similarity information.

14. An apparatus according to any of claims 11-13, wherein the apparatus is further caused to:

determine one or more insertion variations of the one or more web pages based, at least in part, on the modeling;

process and/or facilitate a processing of the one or more insertion variations to determine third similarity information; and

determine whether the one or more updates to the one or more subscriptions can be

performed based, at least in part, on the third similarity information.

15. An apparatus according to any of claims 11-14, wherein

the modeling comprises causing the apparatus to:

determine one or more nodal strings having one or more hyper text markup language (HTML) nodes, one or more child nodes, or any combination thereof; and the determination of the one or more deletion variations, substitution variations, insertion variations, or any combination thereof comprises causing the apparatus to:

split the one or more nodal strings to determine one or more former HTML nodes and one or more former child nodes;

split one or more new nodal strings to determine new one or more HTML nodes and one or more new child nodes; and

compare the split one or more nodal strings with the split one or more new nodal strings to determine a variation between the split one or more nodal strings and the split one or more new nodal strings, based at least in part, on a differentiation between die one or more former HTML nodes, the one or more former child nodes, the one or more new HTML nodes and the one or more new child nodes.

16. An apparatus of claim 15, wherein the differentiation between the split one or more nodal strings and the split one or more new nodal strings comprises determining an edit distance between the one or more former HTML nodes, the one or more former child nodes, the one or more new HTML nodes and the one or more new child nodes.

17. An apparatus according to any of claims 11-16, wherein the apparatus is urther caused to:

cause, at least in part, a generation of one or more alerts with respect to the one or more

updates to the one or more subscriptions.

18. An apparatus according to 17, wherein the alert is a highlighting of a determined one or more deletion variations, substitution variations, insertion variations, or any combination thereof.

19. An apparatus of claim 18, wherein the apparatus is further caused to:

determine a type of variation based, at least in part, on a determination mat the variation is one or more of deletion variations, substitution variations, or insertion variations, wherein the highlighting is a type mat corresponds to the determined type of variation and or the determined edit distance.

20. An apparatus according to any of claims 11-19, wherein the apparatus is further caused to:

determine to generate a user interface for rendering of at least one personalized web page based, at least in part, on the one or more subscriptions and the one or more updates.

21. A method comprising:

processing and/or facilitating a processing of one or more web pages to determine a layout defining one or more content portions of the one or more web pages;

processing and/or facilitating a processing of one or more selections of the one or more

content portions to cause, at least in part, one or more subscriptions to the selected one or more portions;

causing, at least in part, a modeling of the one or more web pages to determine one or more changes to the layout, the one or more content portions, or a combination thereof; and processing and/or facilitating a processing of the modeling to determine one or more updates to the one or more subscriptions.

22. A method of claim 21 , further comprising:

determining one or more deletion variations of the one or more web pages based, at least in part, on the modeling;

processing and/or facilitating a processing of the one or more deletion variations to determine first similarity information; and

determining whether the one or more updates to the one or more subscriptions can be

performed based, at least in part, on the first similarity information.

23. A method according to any of claims 21 and 22, further comprising:

determining one or more substitution variations of the one or more web pages based, at least in part, on the modeling;

processing and/or facilitating a processing of the one or more substitution variations to

determine second similarity information; and

determining whether the one or more updates to the one or more subscriptions can be

performed based, at least in part, on the second similarity information. 24. A method according to any of claims 21 -23, further comprising:

determining one or more insertion variations of the one or more web pages based, at least in part, on the modeling;

processing and/or facilitating a processing of the one or more insertion variations to

determine third similarity information; and

determining whether the one or more updates to the one or more subscriptions can be

performed based, at least in part, on the third similarity information.

25. A method according to any of claims 21 -24, wherein

the modeling comprises:

determining one or more nodal strings having one or more hyper text markup language (HTML) nodes, one or more child nodes, or any combination thereof, and the determination of the one or more deletion variations, substitution variations, insertion variations, or any combination thereof comprises: splitting the one or more nodal strings to determine one or more former HTML nodes and one or more former child nodes;

splitting one or more new nodal strings to determine new one or more HTML nodes and one or more new child nodes; and

comparing the split one or more nodal strings with the split one or more new nodal strings to determine a variation between the split one or more nodal strings and the split one or more new nodal strings, based at least in part, on a differentiation between the one or more former HTML nodes, the one or more former child nodes, the one or more new HTML nodes and the one or more new child nodes.

26. A method of claim 25, wherein the differentiation between the split one or more nodal strings and the split one or more new nodal strings comprises determining an edit distance between the one or more former HTML nodes, the one or more former child nodes, the one or more new HTML nodes and the one or more new child nodes.

27. A method according to any of claims 21 -26, further comprising:

causing, at least in part, a generation of one or more alerts with respect to the one or more updates to the one or more subscriptions.

28. A method according to 27, wherein the alert is a highlighting of a determined one or more deletion variations, substitution variations, insertion variations, or any combination thereof.

29. A method of claim 28, further comprising:

detemiining a type of variation based, at least in part, on a determination that the variation is one or more of deletion variations, substitution variations, or insertion variations, wherein the highlighting is a type that corresponds to the determined type of variation and/or the determined edit distance.

A method according to any of claims 21-29, further comprising: determining to generate a user interface for rendering of at least one personalized web page based, at least in part, on the one or more subscriptions and the one or more updates.

31. An apparatus according to any of claims 11-20, wherein the apparatus is a mobile phone further comprising:

user interlace circuitry and user interface software configured to facilitate user control of at least some functions of the mobile phone through use of a display and configured to respond to user input and

a display and display circuitry configured to display at least a portion of a user interlace of the mobile phone, the display and display circuitry configured to facilitate user control of at least some functions of the mobile phone.

32. A computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to perform at least a method of any of claims 21-30.

33. An apparatus comprising means for performing a method of any of claims 21-30.

34. An apparatus of claim 33, wherein the apparatus is a mobile phone further comprising: user interface circuitry and user interlace software configured to facilitate user control of at least some functions of die mobile phone through use of a display and configured to respond to user input; and

a display and display circuitry configured to display at least a portion of a user interface of the mobile phone, the display and display circuitry configured to facilitate user control of at least some functions of the mobile phone.

35. A computer program product including one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the steps of a method of any of claims 21-30.

36. A method comprising facilitating access to at least one interface configured to allow access to at least one service, the at least one service configured to perform a method of any of claims 21-30.

37. A method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the (1) data and/or (2) information and/or (3) at least one signal based, at least in part, on the method of any of claims 21 -30.

38. A method comprising facilitating creating and/or facilitating modifying (1 ) at least one device user interface element and/or (2) at least one device user interface functionality, the (1 ) at least one device user interface element and or (2) at least one device user interface functionality based, at least in part, on the method of any of claims 21-30.

Description:
METHOD AND APPARATUS FOR

WEB CONTENT STRUCTURE MODELING APPLIED IN WEB CONTENT

SUBSCRIPTION

BACKGROUND

[0001] Service providers and device manufacturers (e.g., wireless, cellular, etc.) are continually challenged to deliver value and convenience to consumers by, for example, providing compelling network services. More and more users prefer to view a plurality of sources of web content but are limited by time, device capabilities and resource availability. Some systems provide a means for consolidating one or more selected portions of one or more websites into a customized view. But, systems that provide for a customizable viewable web content often need to detect whether certain websites often change their layouts, or change the topics that are provided in a section of a web page, for example. Accordingly, in a case where one or more websites change their layouts, users may prefer to have a way to collect, aggregate and update the user's selected web content from one or more websites such that the user may be notified of the change, or the system may update the changes for the user. Further, users may have a desire to have an ability to extract and/or manipulate any of the one or more selected portions. As such, users may prefer to use any collection, aggregation and/or updating of the selected web content to identify a section that corresponds to the selected portion of a given web page, assuming the information is regularly updated, but the page structure does not change often.

SOME EXAMPLE EMBODIMENTS

[0002] Therefore, there is a need for an approach for customizing and consolidating web content collected from one or more sources based on web content structure modeling.

[0003] According to one embodiment, a method comprises processing and/or facilitating a processing of one or more web pages to determine a layout defining one or more content portions of the one or more web pages. The method also comprises processing and/or facilitating a processing of one or more selections of the one or more content portions to cause, at least in part, one or more subscriptions to the selected one or more portions. The method further comprises causing, at least in part, a modeling of the one or more web pages to determine one or more changes to the layout, the one or more content portions, or a combination thereof. The method additionally comprises processing and/or facilitating a processing of the modeling to determine one or more updates to the one or more subscriptions.

[0004] According to another embodiment, an apparatus comprises at least one processor, and at least one memory including computer program code for one or more computer programs, the at least one memory and the computer program code configured to, with the at least one processor, cause, at least in part, the apparatus to process and/or facilitate a processing of one or more web pages to determine a layout defining one or more content portions of the one or more web pages. The apparatus is also caused to process and/or facilitate a processing of one or more selections of the one or more content portions to cause, at least in part, one or more subscriptions to the selected one or more portions. The apparatus is further caused to cause, at least in part, a modeling of the one or more web pages to determine one or more changes to the layout, the one or more content portions, or a combination thereof. The apparatus is additionally caused to process and or facilitate a processing of the modeling to determine one or more updates to the one or more subscriptions.

[0005] According to another embodiment, a computer-readable storage medium carries one or more sequences of one or more instructions which, when executed by one or more processors, cause, at least in part, an apparatus to process and/or facilitate a processing of one or more web pages to determine a layout defining one or more content portions of the one or more web pages. The apparatus is also caused to process and or facilitate a processing of one or more selections of the one or more content portions to cause, at least in part, one or more subscriptions to the selected one or more portions. The apparatus is further caused to cause, at least in part, a modeling of the one or more web pages to determine one or more changes to the layout, the one or more content portions, or a combination thereof. The apparatus is additionally caused to process and or facilitate a processing of the modeling to determine one or more updates to the one or more subscriptions.

[0006J According to another embodiment, an apparatus comprises means for processing and/or facilitating a processing of one or more web pages to determine a layout defining one or more content portions of the one or more web pages. The apparatus also comprises means for processing and/or facilitating a processing of one or more selections of the one or more content portions to cause, at least in part, one or more subscriptions to the selected one or more portions. The apparatus further comprises means for causing, at least in part, a modeling of the one or more web pages to determine one or more changes to the layout, the one or more content portions, or a combination thereof. The apparatus additionally comprises means for processing and/or facilitating a processing of the modeling to determine one or more updates to the one or more subscriptions.

[0007] In addition, for various example embodiments of the invention, the following is applicable: a method comprising facilitating a processing of and/or processing (1) data and or (2) information and/or (3) at least one signal, the (1) data and or (2) information and or (3) at least one signal based, at least in part, on (or derived at least in part from) any one or any combination of methods (or processes) disclosed in this application as relevant to any embodiment of the invention.

[0008] For various example embodiments of the invention, the following is also applicable: a method comprising facilitating access to at least one interface configured to allow access to at least one service, the at least one service configured to perform any one or any combination of network or service provider methods (or processes) disclosed in this application.

[0009] For various example embodiments of the invention, the following is also applicable: a method comprising facilitating creating and or facilitating modifying (1) at least one device user interface element and/or (2) at least one device user interface functionality, the (1) at least one device user interface element and/or (2) at least one device user interface functionality based, at least in part, on data and or information resulting from one or any combination of methods or processes disclosed in this application as relevant to any embodiment of the invention, and/or at least one signal resulting from one or any combination of methods (or processes) disclosed in this application as relevant to any embodiment of the invention.

[0010] For various example embodiments of the invention, the following is also applicable: a method comprising creating and/or modifying (1) at least one device user interface element and or (2) at least one device user interface functionality, the (1) at least one device user interface element and/or (2) at least one device user interface functionality based at least in part on data and/or information resulting from one or any combination of methods (or processes) disclosed in this application as relevant to any embodiment of the invention, and or at least one signal resulting from one or any combination of methods (or processes) disclosed in mis application as relevant to any embodiment of the invention.

{0011] In various example embodiments, the methods (or processes) can be accomplished on the service provider side or on the mobile device side or in any shared way between service provider and mobile device with actions being performed on both sides.

[0012] For various example embodiments, the following is applicable: An apparatus comprising means for performing the method of any of originally filed claims 1-10, 21-30, and 36-38.

[0013] Still other aspects, features, and advantages of the invention are readily apparent from the following detailed description, simply by illustrating a number of particular embodiments and implementations, including the best mode contemplated for carrying out the invention. The invention is also capable of other and different embodiments, and its several details can be modified in various obvious respects, all without departing from the spirit and scope of the invention. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not as restrictive.

BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The embodiments of the invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings: [0015] FIG. 1 is a diagram of a system capable of customizing and consolidating web content collected from one or more sources based on web content structure modeling, according to one embodiment;

[0016] FIG. 2 is a diagram of the components of a content selection processing platform, according to one embodiment; [0017] FIG. 3 is a flowchart of a process for customizing and consolidating web content collected from one or more sources based on web content structure modeling, according to various embodiments;

10018] FIG. 4 is a diagram of a web page that has information that interests a user, according to various embodiments;

[0019] FIG. 5 is a diagram of a web page that has information that interests a user, according to various embodiments;

[0020] FIG. 6 is a diagram of example user interfaces for selecting content, subscribing to the selected content, organizing the selected content, and viewing the selected content, according to one embodiment;

[0021] FIG. 7 is a diagram of a flowchart illustrating an analysis of a webpage, according to one embodiment;

[0022] FIG. 8 is a diagram of a flowchart illustrating an analysis of a webpage, according to one embodiment;

[0023] FIG. 9 is a diagram of an example webpage, according to one embodiment;

[00241 FIG. 10 is a diagram of an updated webpage, according to one embodiment;

[0025] FIG. 11 is a diagram of updated portions of a webpage, according to one embodiment;

[0026] FIG. 12 is a diagram of hardware that can be used to implement an embodiment of the invention;

[0027] FIG. 13 is a diagram of a chip set that can be used to implement an embodiment of the invention; and

[0028] FIG. 14 is a diagram of a mobile terminal (e.g., handset) that can be used to implement an embodiment of the invention. DESCRIPTION OF SOME EMBODIMENTS

[0029] Examples of a method, apparatus, and computer program for customizing and consolidating web content collected from one or more sources based on web content structure modeling are disclosed. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the invention. It is apparent, however, to one skilled in the art that the embodiments of the invention may be practiced without these specific details or with an equivalent arrangement In other instances, well-known structures and devices are shown in block diagram form in order to avoid unnecessarily obscuring the embodiments of the invention.

[0030] As used herein, the term content refers to any web content, data content, web page data, newsfeeds, social networking data, blogs, audio content, visual content, any other sensual content, etc.

[0031] FIG. 1 is a diagram of a system capable of customizing and consolidating web content collected from one or more sources based on web content structure modeling, according to one embodiment More and more users prefer to view a plurality of sources of web content but are limited by time, device capabilities and resource availability. Users spend lots of time frequenting one or more websites to view certain information, check for updates, etc. Examples of such information may be stock prices, newsfeeds, social networking updates, sports scores, travel information, etc.

[0032] Users may traverse a number of individual websites to get all of this information, and each time has to wait for an entire page to load. This loading is a waste of time and resources if the user is not interested in a lot of the material that is present on the web page. For example, the user may not be interested in random videos, advertisements, or sound clips mat are available on a web page. A device that the user uses to access the web page may also be limited in its functionality, or the user may have limited memory or bandwidth availability, so the time it takes for an entire web page to load, if possible, is extensive, and expensive if the user is paying for his specific data usage as charged by a service provider.

[0033] Conventional information channel subscriptions offer the opportunity for a user to acquire online information that interests the user. The content, however, is generated by the information providers with predefined channels. Thus the conventional subscriptions cannot provide a fully flexible and personalized form of online information. Further, conventional subscriptions do not provide a direct solution for reducing the traffic cost mat the most low-end phone users concern.

[0034] Content mash up can call APIs that content providers offer, similar to newsfeeds, but there are limits to the information an API can offer. Other means for cultivating content such as Internet content crawling, search, index, and web scraping offer automatic offline backend processing, rather than user-centric interaction.

[0035] To address this problem, a system 100 of FIG. 1 introduces the capability to customize and consolidate web content collected from one or more sources based on web content structure modeling. Such a capability will drive the next billion users to the web by greatly improving a user's personalized internet browsing experience.

[0036] As shown in FIG. 1, the system 100 comprises a user equipment (UE) 101 having connectivity to a content selection processing platform 103, one or more web pages 109 and one or more social networking services 111 via a communication network 105. A user of the UE 101 uses a content grabber API 107 to develop the user's own customizable user interface for displaying aggregated selected content from the one or more web pages 109 and/or the one or more social networking services 111.

[0037] For example, users of the system 100 can clip certain sections of interest from different web pages 109 and aggregate them together into the user's own "newspaper." The user can view what the user wants via the content grabber API 107, meanwhile reducing data costs because only the desired information is downloaded or accessed by a device rather than the extraneous data using content This removal of extraneous content also increases the response speed of the user's device as well.

[0038] The system 100 offers a personalized internet browsing experience. Users can freely select content in which the user is interested (personalized content) from a web page 109 (i.e. everyone's content) and receive only the information that interests the user thereby reducing data costs and speeding up the user's experienced content rendering of the browsing. In other words, the user can define what the users wants, and then organize the desired content in a viewable format using the content grabber API 107 that the user customizes such as organizing the content by topic, date, time, etc. For example, a user might be very interested for high quality rendering of specific images for selected content such as sports scores, but not interested in rendering other images completely. So the user may use the content grabber API 107 to select a section of a web page that displays updated sports scores and add mat information to the user's own customizable interface without any extraneous images. The user may also then grab other content such as stock quotes from another web page and add that content to the user's own customizable interlace without other extraneous data that may be present on that website, and so on and so on. The content selection processing platform 103 may be resident on the UE 101 or remote from the UE 101, and facilitates the selection of desired content, processing the aggregation of the selected content, and generates a customized user interface for displaying the aggregated selected content

[0039] The system 100 enables a user to generate a personalized content subscription by designating mat the selected content be tagged to be continually updated for presentation on the UE 101. The user can select the interested content as the personalized subscription, and system can offer/publish the similar content for an upcoming period. The interest is defined fully by users via the content grabber API 107, rather man external content providers in the newsfeed business.

[0040] To accomplish the above-mentioned customizable and consolidated viewable web content collected from one or more sources based on web content structure modeling, the system 100 leverages a user's interaction with content Conventional web page structures are parsed, however, and this can be a problem for always updating selected content if, for example, the web page 109 format is changed. If the structure/layout is updated or changed, the system 100 will generate an alert for the user or the content selection processing platform 103 that a possible update of the subscription is necessary. This is different from web crawling, searching, indexing, etc. because conventional methods for cultivating content such as these basically just collect information. But, the system 100 learns a user's interests and is capable of offering better services for the user. This offers the opportunity of explicit user interest modeling.

[0041] The system 100 also provides a business opportunity in that targeted ads, suggested content, suggested social networking contacts, etc, may be generated based on the content selected by a user to be aggregated and displayed.

[0042] In embodiments, analyzing a web page's layout may be beneficial to confirm a particular content topic and/or to determine mat a subscription needs to be updated. A detailed discussion for analyzing a web page's layout may be beneficial to confirm a particular content topic and/or to determine mat a subscription needs to be updated may be found below with regard to FIGs. 7-11. As discussed above, websites often change their layouts, or change the topics that are provided in a section of a web page, for example. The following high level discussion refers to steps that may be followed to collect, aggregate and update a user's selected web content from one or more network sources:

Step 1 : Website layout (HTML structure) extraction - The content selection processing platform 103 uses an extracted website layout as subcontent for content geographies and similarity detection to determine a structure change. A website structure analysis and modeling may also be used to statistically understand the semantic meaning of an extracted tag pattern, such as periodic news blocks, ads, headlines, etc. If a change is detected, an alert may be generated by the content selection processing platform 103, as discussed above, to indicate that the user may need to update his settings for his content subscriptions, or select new content that may be relevant. For example, if sports scores used to be in the upper right hand comer of a web page, but have been replaced by political news, the content selection processing platform 103 would detect this change and alert the user. The same would be true if, for example, content were replaced by imagery or advertisements. Step 2: Subcontent labeling (by user) and retrieval (through the location) - The content selection processing platform 103 gets a content location index from a user's selection and labels it as a subscription. The content selection processing platform 103 then retrieves the subscribed content from the indexed web content location.

Step 3: User Preference - After web content structure modeling, the content selection processing platform 103 creates block-wise JavaScript that is embedded in the each of the indexed blocks to model or monitor a user's interactive selection that is collected via content grabber API 107. The user's selectioi preference is observed from JavaScript and feedback is calculated by the content selection processing platform 103 to form a user selection profile (URL, indexed content location). Optional Step: Training general topic models from web data - The content selection processing platform 103 generates a topic histogram for a user selected subcontent as a seed profile. For the retrieved subcontent, the histogram is compared with the seed profile.

[0043] The above mentioned web structure analysis and subcontent location indexing model of the content selection processing platform 103 is a main processing stream mat considers content based modeling (e.g. topic model) as a secondary processing stream. This model offers unlimited personalized and affordable online content access, with reduced data cost and fast browsing response (web page rendering) mat is based on full user personalization. Content may be generated gathered by the user and organized by topic instead of source by the user or the content selection processing platform 103 in a graphical user interface.

[0044] By way of example, the UE 101 , content selection processing platform 103, web page 109 and social networking service 111 communicate with each other and other components of the communication network 105 using well known, new or still developing protocols. In mis context, a protocol includes a set of rules defining how the network nodes within the communication network 105 interact with each other based on information sent over the communication links. The protocols are effective at different layers of operation within each node, from generating and receiving physical signals of various types, to selecting a link for transferring those signals, to the format of information indicated by those signals, to identifying which software application executing on a computer system sends or receives the information. The conceptually different layers of protocols for exchanging information over a network are described in the Open Systems Interconnection (OSI) Reference Model.

[0045] By way of example, the communication network 105 of system 100 includes one or more networks such as a data network, a wireless network, a telephony network, or any combination thereof. It is contemplated that the data network may be any local area network (LAN), metropolitan area network (MAN), wide area network (WAN), a public data network (e.g., the Internet), short range wireless network, or any other suitable packet-switched network, such as a commercially owned, proprietary packet-switched network, e.g., a proprietary cable or fiber-optic network, and the like, or any combination thereof. In addition, the wireless network may be, for example, a cellular network and may employ various technologies including enhanced data rates for global evolution (EDGE), general packet radio service (GPRS), global system for mobile communications (GSM), Internet protocol multimedia subsystem (IMS), universal mobile telecommunications system (UMTS), etc., as well as any other suitable wireless medium, e.g., worldwide interoperability for microwave access (WiMAX), Long Term Evolution (LTE) networks, code division multiple access (CDMA), wideband code division multiple access (WCDMA), wireless fidelity (WiFi), wireless LAN (WLAN), Bluetooth®, Internet Protocol (IP) data casting, satellite, mobile ad-hoc network (MANET), and the like, or any combination thereof.

[0046] The UE 101 is any type of mobile terminal, fixed terminal, or portable terminal including a mobile handset, station, unit, device, multimedia computer, multimedia tablet, Internet node, communicator, desktop computer, laptop computer, notebook computer, netbook computer, tablet computer, personal communication system (PCS) device, personal navigation device, personal digital assistants (PDAs), audio video player, digital camera/camcorder, positioning device, television receiver, radio broadcast receiver, electronic book device, game device, or any combination thereof, including the accessories and peripherals of these devices, or any combination thereof. It is also contemplated that the UE 101 can support any type of interface to the user (such as "wearable" circuitry, etc.).

[0047] Communications between the network nodes are typically effected by exchanging discrete packets of data. Each packet typically comprises (1) header information associated with a particular protocol, and (2) payload information that follows the header information and contains information that may be processed independently of mat particular protocol. In some protocols, the packet includes (3) trailer information following the payload and indicating the end of the payload information. The header includes information such as the source of the packet, its destination, the length of the payload, and other properties used by the protocol. Often, the data in the payload for the particular protocol includes a header and payload for a different protocol associated with a different, higher layer of the OSI Reference Model. The header for a particular protocol typically indicates a type for the next protocol contained in its payload. The higher layer protocol is said to be encapsulated in the lower layer protocol. The headers included in a packet traversing multiple heterogeneous networks, such as the Internet, typically include a physical (layer 1) header, a data-link (layer 2) header, an internetwork (layer 3) header and a transport (layer 4) header, and various application (layer 5, layer 6 and layer 7) headers as defined by the OSI Reference Model.

[0048] FIG. 2 is a diagram of the components of content selection processing platform 103, according to one embodiment By way of example, the content selection processing platform 103 includes one or more components for customizing and consolidating web content collected from one or more sources based on web content structure modeling. It is contemplated mat the functions of these components may be combined in one or more components or performed by other components of equivalent functionality. In this embodiment, the content selection processing platform 103 includes a control logic 201, a communication module 203, a content extraction module 205, an extracted content database 207 and a presentation module 209.

[0049] The control logic 201 interfaces with the communication module 203 that communicates with the content grabber API 107, UE 101, web page 109 and social networking service 111. The control logic 201 reacts to a selection of content by a user via content grabber API 107. The control logic 201 receives an instruction to extract content selected by a user and instructs the content extraction module 205 to extract the selected content Preferences such as subscription data or a user profile relating to detected and determined preferences for the extracted content may be stored in the extraction content database 207. The control logic 201 then, in response to user direction by way of the content grabber API 107 instructs the presentation module to generate a presentation of the extracted content in accordance with a user's customized settings and preferences of the extracted content The control logic 201 then causes the presentation to be displayed by the UE 101 by way of the communication module 203. The control logic 201 also detects any change in the extracted content that may be determined to be out of the ordinary, such as a change in topic, format, webpage layout, etc. that indicates that the selected content has changed and may not be desirable to the user. The control logic 201 then causes an alert to be sent to the UE 101 that indicates that the user's selected content should be updated. Alternatively, or in addition to the alert, an alert may be sent to a service provider to update the selection for the user without the user having to update the selection by way of the content grabber API 107, or the alert may cause the control logic 201 to cause the content extraction module 205 to search for related content and estimate a new location of the selected content and cause the selected content, or location of the selected content, to be updated without user or service interaction so that the user's subscriptions appear to update seamlessly.

[0050] FIG. 3 is a flowchart of a process for customizing and consolidating web content collected from one or more sources based on web content structure modeling, according to one embodiment. In one embodiment, the content selection processing platform 103 performs the process 300 and is implemented in, for instance, a chip set including a processor and a memory as shown in FIG. 13. In step 301, the content selection processing platform 103 processes and/or facilitates a processing of one or more web pages to determine a layout defining one or more content portions of the one or more web pages. The process continues to step 303 in the content selection processing platform 103 processes and/or facilitates a processing of one or more selections of the one or more content portions to cause, at least in part, one or more subscriptions to the selected one or more portions. Next, in step 305, the content selection processing platform 103 causes, at least in part, a modeling of d e one or more web pages to determine one or more changes to the layout, the one or more content portions, or a combination thereof. The modeling includes, for example, a determination of one or more nodal strings having one or more hyper text markup language (HTML) nodes, one or more child nodes, or any combination thereof.

[0051] Then, in step 307, the content selection processing platform 103 determines one or more deletion variations, substitution variations, and/or insertion variations of the one or more web pages based, at least in part, on the modeling. The determination of the one or more deletion variations, substitution variations, insertion variations, or any combination thereof includes, for example, splitting the one or more nodal strings to determine one or more former HTML nodes and one or more former child nodes; splitting one or more new nodal strings to determine new one or more HTML nodes and one or more new child nodes; and comparing the split one or more nodal strings with the split one or more new nodal strings to determine a variation between the split one or more nodal strings and the split one or more new nodal strings, based at least in part, on a differentiation between the one or more former HTML nodes, the one or more former child nodes, the one or more new HTML nodes and the one or more new child nodes. The differentiation between the split one or more nodal strings and the split one or more new nodal strings comprises determining an edit distance between the one or more former HTML nodes, the one or more former child nodes, the one or more new HTML nodes and the one or more new child nodes.

[0052] The process continues to step 309 in which the content selection processing platform 103 processes and/or facilitates a processing of the one or more deletion variations, substitution variations, and or insertion variations to determine one or more corresponding similarity information. Then, in step 311, the content selection processing platform 103 determines whether one or more updates to the one or more subscriptions can be performed based, at least in part, on the one or more corresponding similarity information and processes and/or facilitates a processing of the modeling to determine one or more updates to the one or more subscriptions.

[0053] In step 313, the content selection processing platform 103 determines a type of variation based, at least in part, on a determination mat the variation is one or more of deletion variations, substitution variations, or insertion variations. Then, in step 3 IS, the content selection processing platform 103 causes, at least in part, a generation of one or more alerts with respect to the one or more updates to the one or more subscriptions. The alert may be, for example, a highlighting of a determined one or more deletion variations, substitution variations, insertion variations, or any combination thereof. In one or more embodiments, the highlighting may be, for example, a type that corresponds to the determined type of variation and/or the determined edit distance. For example, the highlighting for an insertion variation may be a different color from the highlighting for a substitution variation or a deletion variation. In one embodiment, an insertion variation may be highlighted green, while a substitution variation may be highlighted red. Then, in step 317, the content selection processing platform 103 determines to generate a user interface for rendering of at least one personalized web page based, at least in part, on the one or more subscriptions and the one or more updates.

[005 ] FIG. 4 is a diagram of a web page 401 that has information that interests a user, according to various embodiments. The web page 401 as a top stories section 403 in the upper right hand corner of the web page 401. The user uses the content grabber API 107 to select the top stories section 403 for extraction and generation of the selected content portion 405. The selected content portion 405 is a display of only the information that the user wants from the web page 401 and ignores any of the other rich media 407 that may include pictures, other text, sound clips, movies, advertisements, etc. |0055] The selected content portion 405 may be presented to the user individually as-is, in a converted format that consumes even less data usage, or in an aggregated format with other selections from other web pages, for example.

[0056] FIG. 5 is a diagram of a web page 501 that has information that interests a user, according to various embodiments. The web page 501 as a travel booking section 503 in the left side of the web page SOI. The user uses the content grabber API 107 to select the travel booking section 503 for extraction and generation of the selected content portion SOS. The selected content portion 505 is a display of only the information that the user wants from the web page 501 and ignores any of the other rich media 507 that may include pictures, other text, sound clips, movies, advertisements, etc.

[0057] The selected content portion SOS may be presented to the user individually as-is, in a converted format that consumes even less data usage, or in an aggregated format with other selections from other web pages such as the selected content portion 405 discussed above in FIG. 4, for example. In the case of a selected content portion any functionality such as booking a travel may be maintained in the presentation to the user. So, in mis example, the user can quickly view and book travel without waiting for other sections of the web page 501 to load. This saves the user both time and data usage.

[0058] FIG. 6 is a diagram of example user interfaces of the content grabber API 107 for selecting content, subscribing to the selected content, organizing the selected content, and viewing the selected content, according to one embodiment.

[0059] A user may select content of a web page by way of user interface 601, the content grabber API 107 asks the user if he would like to subscribe to the selected content at user interface 603. This selection, if subscribed to, is then organized by way of a series of topic channels at user interface 605 that a user may access by way of UE 101. A user may then select the assigned channel and view any subscribed selections at user interface 607 or 609, for example. A user may select sports for a sports selection and navigate back to a channel selection user interface to view the sport channel, or any other channel, for example. The user may also scroll through other available subscriptions while within a channel topic using various triggers such as a soft key, a hard key, finger swipe, voice, device orientation change, or other direction to change the display.

[0060] FIG. 7 is a flowchart 700 exemplifying a systematic approach for defining a web page structure and framework define web page structure modeling and framework that is computable and may be used to define any similarity metrics between two web pages. Based on this systematic approach, the content selection processing platform 103 may identify any change of web page structure by way of insertion, deletion and substitution of content, for example. The web page structure can be represented, for example, as a graph such as a document object model ("DOM") tree. The approach may be used to uniquely and bi-directionally convertible map between a structural graph and a semantic string. It is then possible to process the string to achieve the objectives of the approach by introducing the string edit distance. FIG. 7 illustrates a breakdown of a webpage 701 into various page path codes, or in other words, every HTML node (div or table) 703. The flowchart 700 also illustrates any child nodes 705 of which the content selection processing platform 103 determines names of the child nodes 705 , For example, a div element 701 (whose path code is 0.0.0) has three child nodes 705 labeled: ρ,ρ,ρ. The content selection processing platform inserts "&&" to produce a string: 0.0.0&&p+p+p. The content selection processing platform then traverses all the nodes and inserts "»" and get the complete string. Accordingly, the content selection processing platform 103 may produce the following string 707:"0.0.0&&p+p+p>>0.0&&div+h1+p>&g t;0.1&&p+h1>>0.2&&p+p+p>>0.3& ;&p+h1+p" based on the webpage 701. The content selection processing platform may then save the string and write it to a local txt file named, for example, NodesRecord.txt.

[0061] FIG. 8 illustrates a flowchart 800 that illustrates a detection/comparison process for determining any changes/updates between versions of a webpage 801. When the content selection processing platform 103 detects a new webpage, the content selection processing platform first reads the local txt file to get the whole string. The content selection processing platform 103 then splits the string 707 of FIG.7 with "»" and "&&", to generate the former page path code (HTML nodes 703 and any child node names 705). The content selection processing platform 103 compares the generated former page path node 703 and any former child node names 705 with a split string 807 of the new page producing the new page code (i.e. the new page's HTML nodes 803 and any new child node names 805). If the content selection processing platform 103 determines that the new path code existed before, and its child node names did not change, the node that did not change may be highlighted by bordering it in red, in the flowchart 800, for example.

[0062] If the content selection processing platform 103 determines the path code of a node in the new page did not exist before, the content selection processing platform 103 considers it as a new element and highlights this by coloring its background green (or any other color for that matter), for example. If the content selection processing platform 103 determines that the path code of a node in the new page existed before, but its children node names changed, the content selection processing platform calculates its edit distance (i.e. a determination or estimation as to how much the node changed) and may color its background by any varying color depending on the calculated edit distance.

[0063] For example, considering the webpage 801 illustrated in FIG. 8, the content selection processing platform 103 tracks a structure change such as an insertion, deletion and or substitution variation as follows:

• Nodes those do not exist before - 0.4 - color background red · Nodes those do not change at all - 0.0, 0.1, 0.3 - border

• Nodes those existed before but changed - 0.0.0, 0.2 - colored depend on edit distance

[0064] The content selection processing platform 103 may determine edit distance between, for example, the stringl: 0.0.0&&p+p+p and the string2: 0.0.0&&p+p+hl. Stringl changes to string 2, and needs to let hi replace the third p of stringl . Accordingly, its edit distance is 2.

[00651 Regarding visualization of the edit distance, the distance may be color coded by any means mat may distinguish a distance and or variation type.

[0066] FIC. 9 illustrates a sample webpage 901 that has a text region 903 in a lower portion at a first sample time. The sample webpage 901 is an example of a first webpage that is taken as a base for any comparison that is conducted by the content selection processing platform 103 when determining if there are any updates that should be processed and/or alerted for any subscriptions to content such as desired content displayed by webpage 901. Specifically, in this example, the content selection processing platform 103 is used to identify any change of web page structure by way of insertion, deletion and substitution of content, for example. Initially, the content selection processing platform 103 determines a breakdown of webpage 901 into various page path codes, or in other words, every HTML node (div or table) and any child nodes of which the content selection processing platform 103 determines names of the child nodes. The content selection processing platform 103, as discussed above, produces a string identifying the nodes and child nodes. The content selection processing platform 103 then saves the string and writes it to a local txt file named, for example, NodesRecord.txt. Then, as discussed below, the string is compared to another version of the webpage sampled at a different time, such as that discussed below with regard to Fig. 10.

[0067] FIG. 10 illustrates a webpage 1001 that is essentially the same as the webpage 901, but is now a new webpage because the text region 903 has been replaced (i.e. substituted) by a sales region 1003 that is different from the text region 903 discussed above. The webpage 1001 is a sampling of the webpage 901 taken at a different time. The content selection processing platform 103 compared the webpages 901 and 1001 and determined that a variation existed and alerted the variation by highlighting the sales region 1003. The highlighting may be any color, such as green, for example depending on any determined edit distance between the webpage 901 and 1001.

[0068] Specifically, the content selection processing platform 103 detects a new webpage by reading a local txt file to get the whole string of the new web page 1001. The content selection processing platform 103 then splits the string 707 to generate the former page path code (HTML nodes and any child node names). The content selection processing platform 103 compares the former page path code and any former child node names with a split string of the new page producing the new page code (i.e. the new page's HTML nodes and any new child node names). The content selection processing platform 103, in this example, determined the path code of a node in the new page did not exist before (i.e. the text portion changed), the content selection processing platform 103 considers it as a new element and highlights by coloring its background red (or any other color for that matter), for example.

[0069] FIG. 11 illustrates an example of a portion of a webpage 1101 that is determined to have existed before when compared to a previous website based on a node path, for example. Accordingly, the portion of the webpage 1101 is bordered by a solid line, which may be red, for example. However, if it's child node names are determined by the content selection processing platform 103 to be different, the portion of the webpage may be highlighted by a color indicating the type of variation and/or the edit distance of the variation, for example by a green colored highlight, such as webpage 1103. [0070] Specifically, in this example, the content selection processing platform 103 determined that the path code of a node in the new page existed before, but its children node names changed. The content selection processing platform 103 calculated its edit distance (i.e. a determination or estimation as to how much the node changed) and colored its background by any varying color depending on the calculated edit distance. For example, considering the webpage 1101, the content selection processing platform 103 tracked a structure change such as an insertion, deletion and/or substitution variation as follows:

• Nodes those do not change at all - 0.0, 0.1 , 0.3 - border - red

• Nodes those existed before but changed - 0.0.0, 0.2 - colored depend on edit distance

[0071] The content selection processing platform 103 determined an edit distance between, for any detected changed in strings. The visualization of the edit distance, the distance was color coded by the content selection processing platform 103 to distinguish a distance and/or variation type. In mis example, the content selection processing platform 103 highlighted the text region in green.

[0072] The processes described herein for customizing and consolidating web content collected from one or more sources based on web content structure modeling may be advantageously implemented via software, hardware, firmware or a combination of software and or firmware and/or hardware. For example, the processes described herein, may be advantageously implemented via processor(s), Digital Signal Processing (DSP) chip, an Application Specific Integrated Circuit (ASIC), Field Programmable Gate Arrays (FPGAs), etc. Such exemplary hardware for performing the described functions is detailed below.

[0073] FIG. 12 illustrates a computer system 1200 upon which an embodiment of the invention may be implemented. Although computer system 1200 is depicted with respect to a particular device or equipment, it is contemplated that other devices or equipment (e.g., network elements, servers, etc.) within FIG. 12 can deploy the illustrated hardware and components of system 1200. Computer system 1200 is programmed (e.g., via computer program code or instructions) to customize and consolidate web content collected from one or more sources based on web content structure modeling as described herein and includes a communication mechanism such as a bus 1210 for passing information between other internal and external components of the computer system 1200. Information (also called data) is represented as a physical expression of a measurable phenomenon, typically electric voltages, but including, in other embodiments, such phenomena as magnetic, electromagnetic, pressure, chemical, biological, molecular, atomic, sub-atomic and quantum interactions. For example, north and south magnetic fields, or a zero and non-zero electric voltage, represent two states (0, 1) of a binary digit (bit). Other phenomena can represent digits of a higher base. A superposition of multiple simultaneous quantum states before measurement represents a quantum bit (qubit). A sequence of one or more digits constitutes digital data that is used to represent a number or code for a character. In some embodiments, information called analog data is represented by a near continuum of measurable values within a particular range. Computer system 1200, or a portion thereof, constitutes a means for performing one or more steps of customizing and consolidating web content collected from one or more sources based on web content structure modeling.

[0074] A bus 1210 includes one or more parallel conductors of information so that information is transferred quickly among devices coupled to the bus 1210. One or more processors 1202 for processing information are coupled with the bus 1210.

[0075] A processor (or multiple processors) 1202 performs a set of operations on information as specified by computer program code related to customize and consolidate web content collected from one or more sources based on web content structure modeling. The computer program code is a set of instructions or statements providing instructions for the operation of the processor and/or the computer system to perform specified functions. The code, for example, may be written in a computer programming language that is compiled into a native instruction set of the processor. The code may also be written directly using the native instruction set (e.g., machine language). The set of operations include bringing information in from the bus 1210 and placing information on the bus 1210. The set of operations also typically include comparing two or more units of information, shifting positions of units of information, and combining two or more units of information, such as by addition or multiplication or logical operations like OR, exclusive OR (XOR), and AND. Each operation of the set of operations that can be performed by the processor is represented to the processor by information called instructions, such as an operation code of one or more digits. A sequence of operations to be executed by the processor 1202, such as a sequence of operation codes, constitute processor instructions, also called computer system instructions or, simply, computer instructions. Processors may be implemented as mechanical, electrical, magnetic, optical, chemical or quantum components, among others, alone or in combination. [0076] Computer system 1200 also includes a memory 1204 coupled to bus 1210. The memory 1204, such as a random access memory (RAM) or any other dynamic storage device, stores information including processor instructions for customize and consolidate web content collected from one or more sources based on web content structure modeling. Dynamic memory allows information stored therein to be changed by the computer system 1200. RAM allows a unit of information stored at a location called a memory address to be stored and retrieved independently of information at neighboring addresses. The memory 1204 is also used by the processor 1202 to store temporary values during execution of processor instructions. The computer system 1200 also includes a read only memory (ROM) 1206 or any other static storage device coupled to the bus 1210 for storing static information, including instructions, that is not changed by the computer system 1200. Some memory is composed of volatile storage that loses the information stored thereon when power is lost Also coupled to bus 1210 is a nonvolatile (persistent) storage device 1208, such as a magnetic disk, optical disk or flash card, for storing information, including instructions, mat persists even when the computer system 1200 is turned off or otherwise loses power.

[0077] Information, including instructions for customize and consolidate web content collected from one or more sources based on web content structure modeling, is provided to the bus 1210 for use by the processor from an external input device 1212, such as a keyboard containing alphanumeric keys operated by a human user, a microphone, an Infrared (IR) remote control, a joystick, a game pad, a stylus pen, a touch screen, or a sensor. A sensor detects conditions in its vicinity and transforms those detections into physical expression compatible with the measurable phenomenon used to represent information in computer system 1200. Other external devices coupled to bus 1210, used primarily for interacting with humans, include a display device 1214, such as a cathode ray tube (CRT), a liquid crystal display (LCD), a light emitting diode (LED) display, an organic LED (OLED) display, a plasma screen, or a printer for presenting text or images, and a pointing device 1216, such as a mouse, a trackball, cursor direction keys, or a motion sensor, for controlling a position of a small cursor image presented on the display 1214 and issuing commands associated with graphical elements presented on the display 1214. In some embodiments, for example, in embodiments in which the computer system 1200 performs all functions automatically without human input, one or more of external input device 1212, display device 1214 and pointing device 1216 is omitted.

[0078] In the illustrated embodiment, special purpose hardware, such as an application specific integrated circuit (ASIC) 1220, is coupled to bus 1210. The special purpose hardware is configured to perform operations not performed by processor 1202 quickly enough for special purposes. Examples of ASICs include graphics accelerator cards for generating images for display 1214, cryptographic boards for encrypting and decrypting messages sent over a network, speech recognition, and interfaces to special external devices, such as robotic arms and medical scanning equipment that repeatedly perform some complex sequence of operations that are more efficiently implemented in hardware.

[0079] Computer system 1200 also includes one or more instances of a communications interface 1270 coupled to bus 1210. Communication interface 1270 provides a one-way or two-way communication coupling to a variety of external devices that operate with their own processors, such as printers, scanners and external disks. In general the coupling is with a network link 1278 mat is connected to a local network 1280 to which a variety of external devices with their own processors are connected. For example, communication interface 1270 may be a parallel port or a serial port or a universal serial bus (USB) port on a personal computer. In some embodiments, communications interface 1270 is an integrated services digital network (ISDN) card or a digital subscriber line (DSL) card or a telephone modem that provides an information communication connection to a corresponding type of telephone line. In some embodiments, a communication interface 1270 is a cable modem that converts signals on bus 1210 into signals for a communication connection over a coaxial cable or into optical signals for a communication connection over a fiber optic cable. As another example, communications interface 1270 may be a local area network (LAN) card to provide a data communication connection to a compatible LAN, such as Ethernet. Wireless links may also be implemented. For wireless links, the communications interface 1270 sends or receives or both sends and receives electrical, acoustic or electromagnetic signals, including infrared and optical signals, that carry information streams, such as digital data. For example, in wireless handheld devices, such as mobile telephones like cell phones, the communications interface 1270 includes a radio band electromagnetic transmitter and receiver called a radio transceiver. In certain embodiments, the communications interface 1270 enables connection to the communication network 105 for customizing and consolidating web content collected from one or more sources based on web content structure modeling to the UE 101.

|0080] The term "computer-readable medium" as used herein refers to any medium that participates in providing information to processor 1202, including instructions for execution. Such a medium may take many forms, including, but not limited to computer-readable storage medium (e.g., non-volatile media, volatile media), and transmission media. Non-transitory media, such as non-volatile media, include, for example, optical or magnetic disks, such as storage device 1208. Volatile media include, for example, dynamic memory 1204. Transmission media include, for example, twisted pair cables, coaxial cables, copper wire, fiber optic cables, and carrier waves that travel through space without wires or cables, such as acoustic waves and electromagnetic waves, including radio, optical and infrared waves. Signals include man-made transient variations in amplitude, f equency, phase, polarization or other physical properties transmitted through the transmission media. Common forms of computer-readable media include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, CDRW, DVD, any other optical medium, punch cards, paper tape, optical mark sheets, any other physical medium with patterns of holes or other optically recognizable indicia, a RAM, a PROM, an EPROM, a FLASH-EPROM, an EEPROM, a flash memory, any other memory chip or cartridge, a carrier wave, or any other medium from which a computer can read. The term computer-readable storage medium is used herein to refer to any computer-readable medium except transmission media. [0081] Logic encoded in one or more tangible media includes one or bom of processor instructions on a computer-readable storage media and special purpose hardware, such as ASIC 1220.

[0082] Network link 1278 typically provides information communication using transmission media through one or more networks to other devices that use or process the information. For example, network link 1278 may provide a connection through local network 1280 to a host computer 1282 or to equipment 1284 operated by an Internet Service Provider (ISP). ISP equipment 1284 in turn provides data communication services through the public, world-wide packet-switching communication network of networks now commonly referred to as the Internet 1290.

[0083] A computer called a server host 1292 connected to the Internet hosts a process that provides a service in response to information received over the Internet. For example, server host 1292 hosts a process that provides information representing video data for presentation at display 1214. It is contemplated that the components of system 1200 can be deployed in various configurations within other computer systems, e.g., host 1282 and server 1292.

[0084] At least some embodiments of the invention are related to the use of computer system 1200 for implementing some or all of the techniques described herein. According to one embodiment of the invention, those techniques are performed by computer system 1200 in response to processor 1202 executing one or more sequences of one or more processor instructions contained in memory 1204. Such instructions, also called computer instructions, software and program code, may be read into memory 1204 from another computer-readable medium such as storage device 1208 or network link 1278. Execution of the sequences of instructions contained in memory 1204 causes processor 1202 to perform one or more of the method steps described herein. In alternative embodiments, hardware, such as ASIC 1220, may be used in place of or in combination with software to implement the invention. Thus, embodiments of the invention are not limited to any specific combination of hardware and software, unless otherwise explicitly stated herein.

[0085] The signals transmitted over network link 1278 and other networks through communications interface 1270, carry information to and from computer system 1200. Computer system 1200 can send and receive information, including program code, through the networks 1280, 1290 among others, through network link 1278 and communications interface 1270. In an example using the Internet 1290, a server host 1292 transmits program code for a particular application, requested by a message sent from computer 1200, through Internet 1290, ISP equipment 1284, local network 1280 and communications interface 1270. The received code may be executed by processor 1202 as it is received, or may be stored in memory 1204 or in storage device 1208 or any other non-volatile storage for later execution, or both. In this manner, computer system 1200 may obtain application program code in the form of signals on a carrier wave. [0086] Various forms of computer readable media may be involved in carrying one or more sequence of instructions or data or both to processor 1202 for execution. For example, instructions and data may initially be carried on a magnetic disk of a remote computer such as host 1282. The remote computer loads the instructions and data into its dynamic memory and sends the instructions and data over a telephone line using a modem. A modem local to the computer system 1200 receives the instructions and data on a telephone line and uses an infrared transmitter to convert the instructions and data to a signal on an infra-red carrier wave serving as the network link 1278. An infrared detector serving as communications interlace 1270 receives the instructions and data carried in the infrared signal and places information representing the instructions and data onto bus 1210. Bus 1210 carries the information to memory 1204 from which processor 1202 retrieves and executes the instructions using some of the data sent with the instructions. The instructions and data received in memory 1204 may optionally be stored on storage device 1208, either before or after execution by the processor 1202.

[0087] FIG. 13 illustrates a chip set or chip 1300 upon which an embodiment of the invention may be implemented. Chip set 1300 is programmed to customize and consolidate web content collected from one or more sources based on web content structure modeling as described herein and includes, for instance, the processor and memory components described with respect to FIG. 12 incorporated in one or more physical packages (e.g., chips). By way of example, a physical package includes an arrangement of one or more materials, components, and/or wires on a structural assembly (e.g., a baseboard) to provide one or more characteristics such as physical strength, conservation of size, and/or limitation of electrical interaction. It is contemplated mat in certain embodiments the chip set 1300 can be implemented in a single chip. It is further contemplated mat in certain embodiments the chip set or chip 1300 can be implemented as a single "system on a chip." It is further contemplated mat in certain embodiments a separate ASIC would not be used, for example, and that all relevant functions as disclosed herein would be performed by a processor or processors. Chip set or chip 1300, or a portion thereof, constitutes a means for performing one or more steps of providing user interface navigation information associated with the availability of functions. Chip set or chip 1300, or a portion thereof, constitutes a means for performing one or more steps of customizing and consolidating web content collected from one or more sources based on web content structure modeling.

[0088] In one embodiment, the chip set or chip 1300 includes a communication mechanism such as a bus 1301 for passing information among the components of the chip set 1300. A processor 1303 has connectivity to the bus 1301 to execute instructions and process information stored in, for example, a memory 1305. The processor 1303 may include one or more processing cores with each core configured to perform independently. A multi-core processor enables multiprocessing within a single physical package. Examples of a multi-core processor include two, four, eight, or greater numbers of processing cores. Alternatively or in addition, the processor 1303 may include one or more microprocessors configured in tandem via the bus 1301 to enable independent execution of instructions, pipelining, and multithreading. The processor 1303 may also be accompanied with one or more specialized components to perform certain processing functions and tasks such as one or more digital signal processors (DSP) 1307, or one or more application-specific integrated circuits (ASIC) 1309. A DSP 1307 typically is configured to process real-world signals (e.g., sound) in real time independently of the processor 1303. Similarly, an ASIC 1309 can be configured to performed specialized functions not easily performed by a more general purpose processor. Other specialized components to aid in performing the inventive functions described herein may include one or more field programmable gate arrays (FPGA), one or more controllers, or one or more other special- purpose computer chips. [0089] In one embodiment, the chip set or chip 1300 includes merely one or more processors and some software and/or firmware supporting and/or relating to and/or for the one or more processors.

[0090] The processor 1303 and accompanying components have connectivity to the memory 1305 via the bus 1301. The memory 1305 includes bom dynamic memory (e.g., RAM, magnetic disk, writable optical disk, etc.) and static memory (e.g., ROM, CD-ROM, etc.) for storing executable instructions that when executed perform the inventive steps described herein to customize and consolidate web content collected from one or more sources based on web content structure modeling. The memory 1305 also stores the data associated with or generated by the execution of the inventive steps.

[0091] FIG. 14 is a diagram of exemplary components of a mobile terminal (e.g., handset) for communications, which is capable of operating in the system of FIG. 1, according to one embodiment In some embodiments, mobile terminal 1401, or a portion thereof, constitutes a means for performing one or more steps of customizing and consolidating web content collected from one or more sources based on web content structure modeling. Generally, a radio receiver is often defined in terms of front-end and back-end characteristics. The front-end of the receiver encompasses all of the Radio Frequency (RF) circuitry whereas the back-end encompasses all of the base-band processing circuitry. As used in this application, the term "circuitry" refers to both: (1) hardware-only implementations (such as implementations in only analog and/or digital circuitry), and (2) to combinations of circuitry and software (and or firmware) (such as, if applicable to the particular context, to a combination of processors), including digital signal processors), software, and memory(ies) mat work together to cause an apparatus, such as a mobile phone or server, to perform various functions). This definition of "circuitry'' applies to all uses of this term in this application, including in any claims. As a further example, as used in this application and if applicable to the particular context, the term "circuitry" would also cover an implementation of merely a processor (or multiple processors) and its (or their) accompanying software/or firmware. The term "circuitry" would also cover if applicable to the particular context, for example, a baseband integrated circuit or applications processor integrated circuit in a mobile phone or a similar integrated circuit in a cellular network device or other network devices.

[0092] Pertinent internal components of the telephone include a Main Control Unit (MCU) 1403, a Digital Signal Processor (DSP) 1405, and a receiver transmitter unit including a microphone gain control unit and a speaker gain control unit. A main display unit 1407 provides a display to the user in support of various applications and mobile terminal functions that perform or support the steps of customizing and consolidating web content collected from one or more sources based on web content structure modeling. The display 1407 includes display circuitry configured to display at least a portion of a user interlace of the mobile terminal (e.g., mobile telephone). Additionally, the display 1407 and display circuitry are configured to facilitate user control of at least some functions of the mobile terminal. An audio function circuitry 1409 includes a microphone 1411 and microphone amplifier that amplifies the speech signal output from the microphone 1411. The amplified speech signal output from the microphone 1411 is fed to a coder/decoder (CODEC) 1413.

100931 A radio section 1415 amplifies power and converts frequency in order to communicate with a base station, which is included in a mobile communication system, via antenna 1417. The power amplifier (PA) 1419 and the transmitter/modulation circuitry are operationally responsive to the MCU 1403, with an output from the PA 1419 coupled to the duplexer 1421 or circulator or antenna switch, as known in the art The PA 1419 also couples to a battery interface and power control unit 1420.

[0094] In use, a user of mobile terminal 1401 speaks into the microphone 1411 and his or her voice along with any detected background noise is converted into an analog voltage. The analog voltage is then converted into a digital signal through the Analog to Digital Converter (ADC) 1423. The control unit 1403 routes the digital signal into the DSP 1405 for processing therein, such as speech encoding, channel encoding, encrypting, and interleaving. In one embodiment, the processed voice signals are encoded, by units not separately shown, using a cellular transmission protocol such as enhanced data rates for global evolution (EDGE), general packet radio service (GPRS), global system for mobile communications (GSM), Internet protocol multimedia subsystem (IMS), universal mobile telecommunications system (UMTS), etc., as well as any other suitable wireless medium, e.g., microwave access (WiMAX), Long Term Evolution (LTE) networks, code division multiple access (CDMA), wideband code division multiple access (WCDMA), wireless fidelity (WiFi), satellite, and the like, or any combination thereof.

[0095] The encoded signals are then routed to an equalizer 1425 for compensation of any frequency-dependent impairments that occur during transmission though the air such as phase and amplitude distortion. After equalizing the bit stream, the modulator 1427 combines the signal with a RF signal generated in the RF interface 1429. The modulator 1427 generates a sine wave by way of frequency or phase modulation. In order to prepare the signal for transmission, an up-converter 1431 combines the sine wave output from the modulator 1427 with another sine wave generated by a synthesizer 1433 to achieve the desired frequency of transmission. The signal is then sent through a PA 1419 to increase the signal to an appropriate power level. In practical systems, the PA 1419 acts as a variable gain amplifier whose gain is controlled by the DSP 1405 from information received from a network base station. The signal is then filtered within the duplexer 1421 and optionally sent to an antenna coupler 1435 to match impedances to provide maximum power transfer. Finally, the signal is transmitted via antenna 1417 to a local base station. An automatic gain control (AGC) can be supplied to control the gain of the final stages of the receiver. The signals may be forwarded from there to a remote telephone which may be another cellular telephone, any other mobile phone or a land-line connected to a Public Switched Telephone Network (PSTN), or other telephony networks.

[0096] Voice signals transmitted to the mobile terminal 1401 are received via antenna 1417 and immediately amplified by a low noise amplifier (LNA) 1437. A down-converter 1439 lowers the carrier frequency while the demodulator 1441 strips away the RF leaving only a digital bit stream. The signal then goes through the equalizer 1425 and is processed by the DSP 1405. A Digital to Analog Converter (DAC) 1443 converts the signal and the resulting output is transmitted to the user through the speaker 1445, all under control of a Main Control Unit (MCU) 1403 which can be implemented as a Central Processing Unit (CPU).

[0097] The MCU 1403 receives various signals including input signals from the keyboard 1447. The keyboard 1447 and/or the MCU 1403 in combination with other user input components (e.g., the microphone 1411) comprise a user interface circuitry for managing user input. The MCU 1 03 runs a user interface software to facilitate user control of at least some functions of the mobile terminal 1401 to customize and consolidate web content collected from one or more sources based on web content structure modeling. The MCU 1403 also delivers a display command and a switch command to the display 1407 and to the speech output switching controller, respectively. Further, the MCU 1403 exchanges information with the DSP 1405 and can access an optionally incorporated SIM card 1449 and a memory 1451. In addition, the MCU 1403 executes various control functions required of the terminal. The DSP 1405 may, depending upon the implementation, perform any of a variety of conventional digital processing functions on the voice signals. Additionally, DSP 1405 determines the background noise level of the local environment from the signals detected by microphone 1411 and sets the gain of microphone 1411 to a level selected to compensate for the natural tendency of the user of the mobile terminal 1401.

[0098] The CODEC 1413 includes the ADC 1423 and DAC 1443. The memory 1451 stores various data including call incoming tone data and is capable of storing other data including music data received via, e.g., the global Internet The software module could reside in RAM memory, flash memory, registers, or any other form of writable storage medium known in the art The memory device 1451 may be, but not limited to, a single memory, CD, DVD, ROM, RAM, EEPROM, optical storage, magnetic disk storage, flash memory storage, or any other non-volatile storage medium capable of storing digital data.

[0099] An optionally incorporated SIM card 1449 carries, for instance, important information, such as the cellular phone number, the carrier supplying service, subscription details, and security information. The SIM card 1449 serves primarily to identify the mobile terminal 1401 on a radio network. The card 1449 also contains a memory for storing a personal telephone number registry, text messages, and user specific mobile terminal settings.

[0100] While the invention has been described in connection with a number of embodiments and implementations, the invention is not so limited but covers various obvious modifications and equivalent arrangements, which fall within the purview of the appended claims. Although features of the invention are expressed in certain combinations among the claims, it is contemplated that these features can be arranged in any combination and order.