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 generates socially-relevant stories for a user based on other users (e.g., based on actions taken by other users) to whom the user is connected. These socially-relevant stories, including news stories, social advertisements, etc., may be presented on a web page within a domain of an external system that is different from the domain of the social networking system. When a web page from an external system is requested for a viewing user, the social content about other users who are connected to the viewing user may be provided by the social networking system for that viewing user. This personalized social content may be presented in a frame (e.g., an iframe) of the external web page rendered and provided for display to the viewing user.

Abstract: A social networking system generates socially-relevant ads for a user based on actions taken by other users to whom the user is connected. These may be actions taken on, and determined by, an external system, information about which actions can be received by the social networking system and used for matching to an advertisement request. The social networking system may determine a social context for advertising to a user based on the action and may generate an advertisement for the matched ad request that includes an informational message communicating the social context (i.e., an ad with the information message appended to it, a news story for the informational message, etc.). The ad may be targeted to the user based on user affinity for the ad, based on an object interacted with or an action taken by the user's connections on or external to the social networking system, among other criteria.

Abstract: Third-party publishers (such as websites) provide online advertisements combined with social endorsement information to users. A request for an advertisement is received from a viewing user via a third-party publisher system. A particular advertisement is selected in response to this request, and one or more advertisement tags associated with the advertisement are retrieved. The advertisement tags comprise information related to the advertisement. Social networking system data for users related to the viewing user is retrieved. Social endorsement information is obtained using the social networking system data and the advertisement tags associated with the advertisement. The social endorsement information and the advertisement are then combined and transmitted to the third-party publisher system, or are transmitted individually for combination by the third-party publisher system.

Abstract: In one embodiment, a method is described for tracking information about the activities of users of a social networking system while on another domain. The method includes maintaining a profile for each of one or more users of the social networking system, each profile identifying a connection to one or more other users of the social networking system and including information about the user. The method additionally includes receiving one or more communications from a third-party website having a different domain than the social network system, each message communicating an action taken by a user of the social networking system on the third-party website. The method additionally includes logging the actions taken on the third-party website in the social networking system, each logged action including information about the action.

Abstract: A social networking website logs information about actions taken by members of the website. For a particular member of the website, the website generates socially relevant ads for the member based on the actions logged for other members on the website to whom the member is connected (i.e., the member's online friends). The advertiser associated with the social ad may compensate the social networking website for publishing the ad on the website. When presenting a member with a social ad, the website may optimize advertising revenue by selecting an ad from the received ads that will maximize the expected value of the social ad. The expected value may be computed according to a function that includes the member's affinity for the ad content and the bid amount. The technique is also applied for providing socially relevant information off the social networking website.

Abstract: A social network targets advertisements to its members using inferential ad targeting. An inferential ad enables advertisers to reach members that do not meet targeting criteria for lack of information. A member's connections in the social network that satisfy the targeting criteria are leveraged to infer a targeted interest. An inferential ad is selected from a candidate set to be presented to the member. Varying complexities of targeting criteria, secondary inferential targeting criteria, and scopes of inference provide flexibility for inferential ad targeting in a social network.

Abstract: A social networking website logs information about actions taken by members of the website. For a particular member of the website, the website generates socially relevant ads for the member based on the actions logged for other members on the website to whom the member is connected (i.e., the member's online friends). The advertiser associated with the social ad may compensate the social networking website for publishing the ad on the website. When presenting a member with a social ad, the website may optimize advertising revenue by selecting an ad from the received ads that will maximize the expected value of the social ad. The expected value may be computed according to a function that includes the member's affinity for the ad content and the bid amount. The technique is also applied for providing socially relevant information off the social networking website.

Abstract: A social networking website logs information about actions taken by members of the website. For a particular member of the website, the website generates socially relevant ads for the member based on the actions logged for other members on the website to whom the member is connected (i.e., the member's online friends). The advertiser associated with the social ad may compensate the social networking website for publishing the ad on the website. When presenting a member with a social ad, the website may optimize advertising revenue by selecting an ad from the received ads that will maximize the expected value of the social ad. The expected value may be computed according to a function that includes the member's affinity for the ad content and the bid amount. The technique is also applied for providing socially relevant information off the social networking website.

Abstract: A system and method for auction based polling is provided. Parameters related to a poll are received from a first user. Parameters related to a poll are received from a first user. A query is associated with the poll. A priority of the poll is determined based on the parameters. The poll is distributed to one or more second users according to the priority. Results to the poll are gathered. The results are reported to the first user.