Abstract: 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.

Abstract: The disclosure includes a system and method for recommending multi-party communication sessions. The system includes: a user model module, a content model module and a determination module. The user model module determines a user social interest model based at least in part on user profile data. The content data module determines interest data describing content data associated with one or more content identifiers. The content model module determines one or more content models describing the content data. The determination module determines whether a match exists between the user social interest model and the one or more content models. The determination module determines the one or more multi-party communication sessions for the recommendation responsive to determining the match exists between the user social interest model and the one or more content models.

Abstract: 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.

Abstract: Methods, systems, and media for presenting comments based on correlation with content are provided. In some implementations, a method for presenting ranked comments is provided, the method comprising: receiving, using a hardware processor, content data related to an item of content; receiving, using the hardware processor, comment data related to a comment associated with the item of content; determining, using the hardware processor, a degree of correlation between at least a portion of the comment data and one or more portions of the content data; determining, using the hardware processor, a priority for the comment based on the degree of correlation; and presenting, using the hardware processor, the comment based on the priority.

Abstract: 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.

Abstract: 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.

Abstract: 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.