Abstract: In one aspect, this application describes a method for determining personal advertisements for display with search results. The method includes receiving a query that corresponds to content associated with members of an online social network, generating search results that are responsive to the query, and obtaining information that characterizes a personal advertisement that advertises a particular member of the online social network. The method also includes comparing information associated with the search results to the information that characterizes the personal advertisement to determine whether the personal advertisement is related to the search results. The method also includes providing the personal advertisement for display with the search results in response to determining that the information that characterizes the personal advertisement is related to the search results.

Abstract: In one aspect, this application describes a method for determining personal advertisements for display with personal content in an online social network. The method includes obtaining personal content for a first member of an online social network, and obtaining information that characterizes a personal advertisement that advertises a second member of the online social network. The method also includes comparing the personal content for the first member to the information that characterizes the personal advertisement to determine whether the personal advertisement is related to the personal content for the first member, without determining whether the first member is related to the second member in the online social network. The method also includes providing the personal advertisement for display with the document for the first member in response to determining that the information that characterizes the personal advertisement is related to the personal content for the first member.

Abstract: Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.

Abstract: Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.

Abstract: Structured data sets including one or more attributes are identified, each structured data set associated with, for example, a particular user. Values corresponding the at least one of the one or more attributes in each structured data set are identified. A condition established by a content provider, for instance, an advertiser, is compared to the identified values to determine if the condition is satisfied. When the condition is satisfied, one or more content items are identified to the users associated with the structured data sets containing identified values satisfying the condition.

Abstract: Methods, systems, and apparatus, including computer program products, in which an selections can be received, the selections including a content item (or items) and a creative item (or items) from a user. The advertisement creation engine can use the content item(s) and the creative item(s) to generate an advertisement. The advertisement can be distributed to a community (e.g., other users).

Abstract: An entity relationship defining an entity, e.g., a friendship relation in a social network, user groups, etc., can be identified and entity content based on the entity relationship, e.g., user profile data of user accounts, group memberships, etc., can be processed to identify entity topics. One or more content items, e.g., advertisements, can be identified based on the entity topics.

Abstract: Open profile data in a user profile, e.g., free-form fields in a user profile, are processed to identify interests and preferences of the user. The interests and preferences are utilized to identify categories associated with the user profile, and content items, e.g., advertisements, can be identified based on the categories.

Abstract: A custodian profile, e.g., a user profile, associated with a first content item, e.g., an associated web page in a social network, can be identified as a first content item. The first content item can be utilized to identify one or more second content items, e.g., advertisements, that are displayed when the first content item is presented, e.g., viewed by another user of the social network.

Abstract: A computer-implemented method for displaying advertisements to members of a network comprises identifying one or more communities of members, identifying one or more influencers in the one or more communities, and placing one or more advertisements at the profiles of one or more members in the identified one or more communities.

Abstract: A computer implemented method for managing personal advertisements for display with online profiles is disclosed. The method includes receiving multiple categories of content from a first online profile comprising information characterizing a first person, generating an advertisement comprising advertising content that directs a user to a second online profile comprising information characterizing a second person, and transmitting the advertisement for display with the first online profile if the advertising content is related to at least a portion of the content from the first online profile.