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Patent Searching and Data


Title:
USER FEED WITH PROFESSIONAL AND NONPROFESSIONAL CONTENT
Document Type and Number:
WIPO Patent Application WO/2018/010147
Kind Code:
A1
Abstract:
Methods, systems, and computer programs are presented for optimizing the content of a user feed that includes professional and nonprofessional posts. One method includes an operation for training a machine-learning classifier to classify posts of a social website as professional or nonprofessional posts based on a plurality of features that include a cluster assigned to each post. Posts are identified for placement in a user feed of the social website, each post being associated with a score, and each post is assigned to one of the clusters based on the semantic meaning of the words in the post. The method further includes operations for invoking the machine-learning classifier to classify each post as a professional or a nonprofessional post, and for increasing the scores of the posts classified as professional posts. The posts are ranked for presentation in the user feed based on the score of each post.

Inventors:
ZHANG LIANG (US)
ZHU LIN (US)
WANG DI (US)
ZHAO SHENG (US)
LIU YANG (US)
CHEN SHU (US)
Application Number:
PCT/CN2016/090063
Publication Date:
January 18, 2018
Filing Date:
July 14, 2016
Export Citation:
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Assignee:
LINKEDIN CORP (US)
International Classes:
G06F17/30; G06N20/00
Foreign References:
US20160055235A12016-02-25
US20100228777A12010-09-09
CN103793503A2014-05-14
CN104573046A2015-04-29
Attorney, Agent or Firm:
CHINA PATENT AGENT (H.K.) LTD. (CN)
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