Login| Sign Up| Help| Contact|

Patent Searching and Data


Title:
SUBSCRIPTION-BASED MOBILE READING PLATFORM
Document Type and Number:
WIPO Patent Application WO/2014/144356
Kind Code:
A4
Abstract:
The disclosed invention relates subscription based electronic book reading platform for mobile devices. In embodiments, the reading platform may provide recommendations of electronic books to users based on a user's behavior. In embodiments, the reading platform may provide for methods which determine lifetime value of books and payment to content providers within a subscription based electronic book service model. The reading platform may also restrict user access depending on user location or connection.

Inventors:
SALAMA RAFIK (US)
SHATZ MATTHEW JOSEPH (US)
SPICKERT CAMERON NELSON (US)
STROMBERG ERIC (US)
PATEL VIVEK H (US)
BROWN ANDREW (US)
SALIM ROHITH (US)
VAN LANCKER WILLEM PAUL (US)
Application Number:
PCT/US2014/028729
Publication Date:
March 12, 2015
Filing Date:
March 14, 2014
Export Citation:
Click for automatic bibliography generation   Help
Assignee:
STUDIO SBV INC (US)
International Classes:
G06F19/00
Attorney, Agent or Firm:
FORTIN, Leon, Jr. (c/o CPA GlobalP.O. Box 5205, Minneapolis Minnesota, US)
Download PDF:
Claims:
AMENDED CLAIMS received by the International Bureau on 26 January 2015 (26.01.2015)

1. A method of determining a lifetime value of a book, comprising:

taking a reading prediction model that predicts reader reading activity for the book based on at least two of customer ratings, critic ratings, retail pricing, wholesale pricing, print pricing, and electronic pricing, the population of the reading prediction model comprising:

aggregating data from a plurality of social media sources associated with the book; and

aggregatinguser reading activity for the book across a plurality of subscribers using an electronic book reading platform; and

using a valuation model to calculate the expected lifetime value for the book, wherein the expected lifetime value is based on at least one of the price for reading within the book, the price of the book, the reading prediction model and the cost of offering the book.

2. The method of claim 1, wherein the data from the plurality of social media sourcescomprisestrending data.

3. The method of claim 1, wherein the data associated with popularity of the bookcomprises liking data.

4. The method of claim 1, wherein the calculated expected lifetime value is basedontrending data.

5. The method of claim 1, wherein the calculated expected lifetime value is based on liking data.

6. The method of claim 1, wherein the calculated expected lifetime value is based on critic reviews.

7. The method of claim 1, wherein the calculated expected lifetime value is based on book price.

8. The method of claim 1, wherein the data from the plurality of social media sources comprises social media data.

9. The method of claim 1, wherein the calculated expected lifetime value is based on metrics derived from external book-related behavior.

10. The method of claim 1, wherein the calculated expected lifetime value is based on metrics derived from a user' s book- related behavior;