Abstract:
Particular embodiments may receive one or more data items associated with a first user of a social-networking system. The one or more data items being related to an entity. One or more data stores may store a social graph of the social-networking system. The social graph may comprise a plurality of nodes and plurality of edges between nodes. The nodes may comprise user nodes corresponding to users of the social-networking system and concept nodes corresponding to concepts. Particular embodiments may identify one or more nodes of the social graph that likely match the entity and associate at least one of the data items to at least one of the identified nodes.
Abstract:
A social networking system receives contact information from a social networking system user. The received contact information is stored and associated with a user profile in the social networking system including information matching at least a portion of the stored content information. This increases the information associated with the user profile. Subsequently received content information is compared to user profiles and stored contact information associated with one or more user profiles. User profiles including information matching at least a portion of the subsequently received content information or associated with stored contact information matching at least a portion of the subsequently received content information are identified as potential connections for the user providing the subsequently received contact information.
Abstract:
Particular embodiments may receive one or more data items associated with a first user of a social-networking system. The one or more data items being related to an entity. One or more data stores may store a social graph of the social-networking system. The social graph may comprise a plurality of nodes and plurality of edges between nodes. The nodes may comprise user nodes corresponding to users of the social-networking system and concept nodes corresponding to concepts. Particular embodiments may identify one or more nodes of the social graph that likely match the entity and associate at least one of the data items to at least one of the identified nodes.
Abstract:
Translations for items of user-generated content are received from one or more users associated with a social networking system and/or one or more machine-generated translations. Each translation may translate a content item from a source or original language to a target language. Votes regarding the suitability of the translations are received from one or more users. In one aspect, the option to provide translations and/or vote on translations is provided to those users that are determined to be competent in the source language of the item of user-generated content. Determination of whether a user is competent in the source language can be based on the user profile of the user, the user-generated content of the user, the language competencies of the user's connections, and/or other social signals.
Abstract:
Particular embodiments may receive one or more data items associated with a first user of a social-networking system. The one or more data items being related to an entity. One or more data stores may store a social graph of the social-networking system. The social graph may comprise a plurality of nodes and plurality of edges between nodes. The nodes may comprise user nodes corresponding to users of the social-networking system and concept nodes corresponding to concepts. Particular embodiments may identify one or more nodes of the social graph that likely match the entity and associate at least one of the data items to at least one of the identified nodes.
Abstract:
A social networking system receives contact information from a social networking system user. The received contact information is stored and associated with a user profile in the social networking system including information matching at least a portion of the stored content information. This increases the information associated with the user profile. Subsequently received content information is compared to user profiles and stored contact information associated with one or more user profiles. User profiles including information matching at least a portion of the subsequently received content information or associated with stored contact information matching at least a portion of the subsequently received content information are identified as potential connections for the user providing the subsequently received contact information.
Abstract:
A social networking system receives contact information from a social networking system user. The received contact information is stored and associated with a user profile in the social networking system including information matching at least a portion of the stored content information. This increases the information associated with the user profile. Subsequently received content information is compared to user profiles and stored contact information associated with one or more user profiles. User profiles including information matching at least a portion of the subsequently received content information or associated with stored contact information matching at least a portion of the subsequently received content information are identified as potential connections for the user providing the subsequently received contact information.
Abstract:
A social networking system receives contact information from a social networking system user. The received contact information is stored and associated with a user profile in the social networking system including information matching at least a portion of the stored content information. This increases the information associated with the user profile. Subsequently received content information is compared to user profiles and stored contact information associated with one or more user profiles. User profiles including information matching at least a portion of the subsequently received content information or associated with stored contact information matching at least a portion of the subsequently received content information are identified as potential connections for the user providing the subsequently received contact information.
Abstract:
Particular embodiments may receive one or more data items associated with a first user of a social-networking system. The one or more data items being related to an entity. One or more data stores may store a social graph of the social-networking system. The social graph may comprise a plurality of nodes and plurality of edges between nodes. The nodes may comprise user nodes corresponding to users of the social-networking system and concept nodes corresponding to concepts. Particular embodiments may identify one or more nodes of the social graph that likely match the entity and associate at least one of the data items to at least one of the identified nodes.
Abstract:
Translations for items of user-generated content are received from one or more users associated with a social networking system and/or one or more machine-generated translations. Each translation may translate a content item from a source or original language to a target language. Votes regarding the suitability of the translations are received from one or more users. In one aspect, the option to provide translations and/or vote on translations is provided to those users that are determined to be competent in the source language of the item of user-generated content. Determination of whether a user is competent in the source language can be based on the user profile of the user, the user-generated content of the user, the language competencies of the user's connections, and/or other social signals.