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1. (WO2017156288) VIEWPOINT TRACKING DATA FOR IMPROVED FEED RELEVANCE

Pub. No.:    WO/2017/156288    International Application No.:    PCT/US2017/021601
Publication Date: Fri Sep 15 01:59:59 CEST 2017 International Filing Date: Fri Mar 10 00:59:59 CET 2017
IPC: G06Q 50/00
G06Q 10/10
Applicants: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventors: CHANG, Kevin
YANG, Lin
Title: VIEWPOINT TRACKING DATA FOR IMPROVED FEED RELEVANCE
Abstract:
A system and method includes obtaining activity data of an online social networking system, the activity data including duration data indicative of a duration in which at least some of the content items has previously been displayed on other feeds of members of the online social networking system and interactions with the content items by the members. For each of the content items, a probability score of the member to interact with the content item is determined by applying a logistic regression model to the duration data and the interactions to determine, at least in part, a probability score of the member to interact with the content item and the feed is generated with at least some of the content items having an order based on the probability score for each of the at least some content items.