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 presents targeted ads based on actions by the member and one or more characteristics of the member. The social networking website maintains a profile associated with the member which describes characteristics of the member, such as age, geographic location, employment, educational history and interests. The social networking website compares the member profile to targeting criteria for a plurality of advertising requests and determines the advertising requests that match the member profile and generate the most revenue for the social networking website. When presenting a member with an ad, the website may optimize advertising revenue by selecting an ad from the received ads that will maximize the expected value of the ad.

Abstract: Embodiments of the invention provide techniques for translating text in a social network. In one embodiment translations of text phrases are received from members of the social network. These text phrases include content displayed in a social networking system, such as content from social networking objects. A particular member is provided with content including a text phrase in a first language, and the member requests translation into another language. Responsive to this request, a translation of the text phrase is selected from a set of available translations. The selection is based on actions by friends of the member in the social network, the actions being associated with the set of available translations. These actions can the viewing of or approval of translations by the friends, for example. The selected translation is then presented to the member requesting the translation.

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 social networking website logs information about actions taken by members of the website. For a particular member of the website, the website presents targeted ads based on actions by the member and one or more characteristics of the member. The social networking website maintains a profile associated with the member which describes characteristics of the member, such as age, geographic location, employment, educational history and interests. The social networking website compares the member profile to targeting criteria for a plurality of advertising requests and determines the advertising requests that match the member profile and generate the most revenue for the social networking website. When presenting a member with an ad, the website may optimize advertising revenue by selecting an ad from the received ads that will maximize the expected value of the ad.