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公开(公告)号：US09723044B1
公开(公告)日：2017-08-01
申请号：US14622760
申请日：2015-02-13
Applicant: Google Inc.
Inventor： Justin Lewis Kosslyn , Andrew Tomkins , Andre Rohe , Daniel Dulitz
CPC classification number: H04L67/10 , G06F12/06 , G06F17/30 , G06F17/30029 , G06F17/30041 , G06F17/30044 , G06F17/3005 , G06F17/30864 , G06F17/30867 , G06N5/00 , G06Q30/02 , H04L65/60 , H04L65/602 , H04L67/32
Abstract: A system and method for generating a channel includes a channel engine that retrieves candidate content items based on a topic from heterogeneous data sources. The channel engine generates a stream of content with selected content items and populates the stream of content for the channel and providing the stream of content to users associated with the channel. In response to receiving feedback, the channel engine modifies the at least one topic based at least in part on the feedback. The scoring engine generates a second stream of content from the first stream of content that is personalized for the first user based at least in part on a model. Other users can subscribe to the second stream.
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公开(公告)号：US09900358B1
公开(公告)日：2018-02-20
申请号：US14605476
申请日：2015-01-26
Applicant: Google Inc.
Inventor： Andrew Tomkins , Todd Jackson , Shaun Modi , Ray Su , Justin Lewis Kosslyn , Robert Spiro , Jessica Ko , Cameron Adams
CPC classification number: H04L67/10 , G06F12/06 , G06F17/30 , G06F17/30029 , G06F17/30041 , G06F17/30044 , G06F17/3005 , G06F17/30864 , G06F17/30867 , G06N5/00 , G06Q30/02 , H04L65/60 , H04L65/602 , H04L67/32
Abstract: A system and method for generating a stream of content with candidate content items associated with a likelihood of being interesting to a user. A model generation engine generates a model for a user. A scoring engine obtains candidate content items and compares candidate content items to a model to determine the most interesting content items. A user interface engine organizing first and second content items in a first direction and a third content item in a second direction. The user interface engine receives feedback that includes a request for additional content items or a request to remove an interest associated with a selected content item from the model. The model generation engine updates the model in response to feedback.
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公开(公告)号：US09712588B1
公开(公告)日：2017-07-18
申请号：US14629034
申请日：2015-02-23
Applicant: Google Inc.
Inventor： Mayur Datar , Jonathan Terleski , Justin Lewis Kosslyn , Andrew Tomkins , Ray Su , Christopher Wiggins
CPC classification number: H04L67/10 , G06F12/06 , G06F17/30 , G06F17/30029 , G06F17/30041 , G06F17/30044 , G06F17/3005 , G06F17/30864 , G06F17/30867 , G06N5/00 , G06Q30/02 , H04L65/60 , H04L65/602 , H04L67/32
Abstract: A system and method for generating a stream of content for a channel. The channel application includes a content categorizer, a scoring engine and a channel engine. The content categorizer categorizes new content items received from heterogeneous data sources. The channel engine identifies a channel category for a user based at least in part on at least one of a historical trend and a user activity. The scoring engine queries the new content items based on the channel category and at least one other channel attribute. The scoring engine retrieves candidate content items that include the channel category and the other channel attribute. The scoring engine then generates a stream of content from the candidate content items for the channel.
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