Abstract:
A social networking system generates socially-relevant stories for a user based on actions taken by other users to whom the user is connected. The social networking system may receive a request for a sponsored story for a viewing user and may select information about one or more actions performed by one or more users to whom the viewing user is connected to identify one of a plurality of candidate information for a sponsored story based on one or more criteria (e.g., affinity of the viewing user for the candidates, expected value for the candidates, etc.). The social networking system may also generate the sponsored story and generate a feed comprising the sponsored story and news stories (e.g., non-sponsored stories) about one or more users of the social networking system with whom the viewing user is connected. This feed may be provided for display to the viewing user.
Abstract:
A social networking system selects a subset of keywords from a set of master keywords found in user profiles. The method includes selecting a first and second group of user profiles including one or more keywords and computing the number of occurrences of each of the master keywords in the first and second group of profiles. A value may be computed for each of the master keywords based on a comparison of the number of occurrences in the first group of profiles and the number of occurrences in the second group of profiles. The computed value may be used for selecting the subset of keywords from the master keywords and/or ranking the master keywords.
Abstract:
In one embodiment, a method includes receiving a bid to display in a predetermined area of a web page an organic-activity-stream entry matching particular story characteristics. The bid includes a bid amount and one or more targeting criteria. The method includes, n response to identifying an organic-activity-stream entry as matching the story characteristics, providing for display the organic-activity-stream entry in a predetermined area of a web page based at least in part on the bid amount and targeting criteria.
Abstract:
In one embodiment, a method includes receiving a first selection of an entity associated with a user of a social-networking system; receiving a second selection of a type of user interaction with the entity; and providing the first and second selections for use in a sponsored-story specification. The use of the first and second selections in the sponsored-story specification facilitate entries in an organic activity stream of the social-networking system that match the sponsored-story specification being provided for display in pre-determined areas of web pages.
Abstract:
In one embodiment, a method includes receiving sponsor specifications designating story characteristics; monitoring an organic activity stream for entries matching the story characteristics; and, in response to identifying an entry as matching the story characteristics, providing for display the entry in a predetermined area of a web page.
Abstract:
In one embodiment, a method includes receiving a first selection of an entity associated with a user of a social-networking system; receiving a second selection of a type of user interaction with the entity; and providing the first and second selections for use in a sponsored-story specification. The use of the first and second selections in the sponsored-story specification facilitate entries in an organic activity stream of the social-networking system that match the sponsored-story specification being provided for display in pre-determined areas of web pages.
Abstract:
A social networking system generates socially-relevant stories for a user based on actions taken by other users to whom the user is connected. The social networking system may receive a request for a sponsored story for a viewing user and may select information about one or more actions performed by one or more users to whom the viewing user is connected to identify one of a plurality of candidate information for a sponsored story based on one or more criteria (e.g., affinity of the viewing user for the candidates, expected value for the candidates, etc.). The social networking system may also generate the sponsored story and generate a feed comprising the sponsored story and news stories (e.g., non-sponsored stories) about one or more users of the social networking system with whom the viewing user is connected. This feed may be provided for display to the viewing user.
Abstract:
A social networking system selects a subset of keywords from a set of master keywords found in user profiles. The method includes selecting a first and second group of user profiles including one or more keywords and computing the number of occurrences of each of the master keywords in the first and second group of profiles. A value may be computed for each of the master keywords based on a comparison of the number of occurrences in the first group of profiles and the number of occurrences in the second group of profiles. The computed value may be used for selecting the subset of keywords from the master keywords and/or ranking the master keywords.
Abstract:
A system and method for selecting a subset of keywords from a set of master keywords found in user profiles in a social network is disclosed. The method includes selecting a first and second group of user profiles including one or more keywords and computing the number of occurrences of each of the master keywords in the first and second group of profiles. A value may be computed for each of the master keywords based on a comparison of the number of occurrences in the first group of profiles and the number of occurrences in the second group of profiles. The computed value may be used for selecting the subset of keywords from the master keywords and/or ranking the master keywords.
Abstract:
A system and method for selecting a subset of keywords from a set of master keywords found in user profiles in a social network is disclosed. The method includes selecting a first and second group of user profiles including one or more keywords and computing the number of occurrences of each of the master keywords in the first and second group of profiles. A value may be computed for each of the master keywords based on a comparison of the number of occurrences in the first group of profiles and the number of occurrences in the second group of profiles. The computed value may be used for selecting the subset of keywords from the master keywords and/or ranking the master keywords.