Google Inc.

Mikhail Dhruv

Mario Anima

Ming Lei

Lucian Florin Cionca

Prasenjit Sarkar

Kevin Ferguson

Umanka Hebbar Karkada

Ralph Jacob Cressman

Jeremy Lazarus

Benson Luk

Paul Sowden

James Kevin Rodgers

Steve Tsai

Vinay Ramesh Jain

Fengjia Li

Jared Hirsch

Mario Ventura Anima

A system comprising a processor and a memory storing instructions that, when executed, cause the system to identify a page on a website, retrieve a stream of posts related to the page, determine whether the page is dynamic, in response to the page being determined to be dynamic, modify the stream of posts related to the page biased toward including more recent posts, generate a user interface element for display of the stream of related content; and provide the user interface element for presentation to the user. The disclosure also includes similar methods and computer program products.

Dynamic page classifier for ranking content

The disclosure includes a system and method for discovering content in a topical community. The system includes a processor and a memory storing instructions when executed cause the system to: receive data indicating a first engagement action associated with a content item, the first engagement action performed by a first user; determine a topic associated with the content item; determine a topical reputation score related to the topic for the first user based on one or more second engagement actions performed by one or more second users associated with the content item; determine that the topical reputation score satisfies a reputation threshold; unlock the topic for the first user responsive to the determination that the topical reputation score satisfies the reputation threshold and provide the first user an ability to curate other content items associated with the unlocked topic.

Content discovery in a topical community

The disclosure includes a system and method for providing content recommendation to users on a site. The system includes a processor and a memory storing instructions that, when executed, cause the system to: receive data describing a page on a site visited by a first user; query one or more sources to retrieve one or more candidate items for the first user; determine one or more source types related to the one or more candidate items; determine one or more scores for the one or more candidate items based on an interest profile and the one or more source types; rank the one or more candidate items; determine that an invitation trigger event causing a presentation of an invitation state occurs; determine that a recommendation trigger event causing a presentation of a recommendation state occurs during the invitation state; and provide a recommendation state to the first user.

Providing content recommendation to users on a site

Growing community of inventors

Palo Alto, CA, United States of America

Mikhail Dhruv