Abstract: Displaying a preference by a user of a content contribution is disclosed. A preference event by the user is detected. A plurality of detected events is stored. In response to a query from a client, at least a portion of the stored detected events is stored. At least a portion of the received events is displayed in an interface.

Abstract: An audience platform is disclosed. In a first example case, a first question is received. A preference event associated with the first question is received. A score is determined for the first question based at least in part on the preference. In a second example case, indications of a first and second potential interviewee are received. Preference events associated with the first and second potential interviewees are received. Scores are determined for the first and second potential interviewees based at least in part on the received preference events. A designated interviewee is selected based on the first and second scores. In a third example case, indications of a first and second potential awardee are received. Preference events associated with the first and second potential awardee are received. Scores are determined for the first and second potential awardees based at least in part on the received preference events.

Abstract: Techniques for identifying and presenting member profiles similar to a source member profile are described. With some embodiments, a general recommendation engine is used to extract features from member profiles, and then store the extracted features, including any computed, derived or retrieved profile features, in an enhanced member profile. In real-time, the general recommendation engine processes client requests to identify member profiles similar to a source member profile by comparing select profile features stored in the enhanced member profile with corresponding profile features of the source member profile, where the comparison results in several similarity sub-scores that are then combined in accordance with directives set forth in a configuration file. Finally, the member profiles with the highest similarity scores corresponding with the user-selected member profile are selected, and in some instances, presented to a user.

Abstract: The present disclosure relates to methods and systems for clustering individual items of web content, and then utilizing activity and profile data to both select clusters of content items for presentation to a user, and determining how the selected clusters of content items are presented to the user of an online social network service. With some embodiments, the activity data are derived by monitoring and detection interactions with the individual items of web content by an individual user, or other users with whom the individual user is related, as established via, and defined by, the social network service.

Abstract: The present disclosure relates to methods and systems for recommending a context to a user of a social network service, based on detecting an interaction with some item of web content. With some embodiments, after detecting an interaction with a web document, a topic to which the web document is related is determined. A context, such as an online or offline forum, known to be associated with the topic is then identified. Finally, the identified context is presented to the user as a recommendation for a content source that is likely to be of interest to the user.

Abstract: A network update interface is presented to a user on a network to display network updates from other users of a mutual social-networking site. The network updates shared by the other users are gathered in a stream and supplied to a facet-filtering system including a network update interface. The user controls the display of certain network update items according to facet-filter characteristics enabled in facet-filter selection panels in the network update interface. The facet-filter characteristics are used by a facet filter to select certain network updates for display to the user in the network update interface. Trending links to further articles with content corresponding to the facet-filter characteristics are displayed to the user according to greatest popularity among the other users. Links to the profiles of the users sharing the articles are also provided in the network update interface.

Abstract: A method and system for evaluating the reputation of a member of a social networking system is disclosed. Consistent with an embodiment of the invention, one or more attributes associated with a social networking profile of a member of a social network are analyzed. Based on the analysis, a ranking, rating or score is assigned to a particular category of reputation. When requested, the ranking, rating or score is displayed to a user of the social network.