Google Inc.

Nicholas Delmonico Rizzolo

Nisarg Dilipkumar Kothari

Ullas Gargi

Sudheendra Vijayanarasimhan

Sanketh Shetty

Balakrishnan Varadarajan

Techniques identify time-sensitive content and present the time-sensitive content to communication devices of users interested or potentially interested in the time-sensitive content. A content management component analyzes video or audio content, and extracts information from the content and determines whether the content is time-sensitive content, such as recent news-related content, based on analysis of the content and extracted information. The content management component evaluates user-related information and the extracted information, and determines whether a user(s) is likely to be interested in the time-sensitive content based on the evaluation results. The content management component sends a notification to the communication device(s) of the user(s) in response to determining the user(s) is likely to be interested in the time-sensitive content.

Discovery of news-related content

This technology may generate recommendations of relevant content, based on determining intersections among one or more user interest profiles of users, who interact either synchronously or asynchronously. This technology may retrieve interest profiles for particular users, determine intersections among all user interest profiles (or among individual content recommendations), and create a group interest profile, update the particular users' interest profiles based on the group interest profile created, and generate recommendations of content that is determined to be relevant based on the group interest profile. A user may select items from these recommendations of content, add the user-selected content recommendations to a common group pool, generate a group interest profile based on the common group pool, and generate recommendations of content based on the group interest profile. Scores for the recommendations of content may be calculated and the top scoring ones may be displayed to the users in the group.

Recommending content based on intersecting user interest profiles

A method, computer program product, and system is described. A group including a plurality of individuals is defined based upon, at least in part, participation of the plurality of individuals in one or more consumption sessions. A group profile is designated for the group. Consumption of a first item of content by a portion of the group during a consumption session participated in by at least the portion of the group is identified. An indicator associated with the first item of content consumed by the portion of the group during the consumption session is associated with the group profile. A recommendation of a second item of content is provided to one or more members of the group, wherein the recommendation is based upon, at least in part, associating with the group profile the indicator associated with the first item of content.

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Cupertino, CA, United States of America

Nicholas Delmonico Rizzolo