Abstract: In one embodiment, a method includes receiving an indication that a user of an online social network (OSN) is interacting with a search interface of the OSN, identifying one or more entities of the OSN associated with the user based at least in part on a search history of the user, identifying, for each identified entity, one or more content objects associated with the entity, wherein each content object is accessible by the user based on privacy settings defining a visibility of the content object as being visible to at least the user, generating, for each identified entity, a plurality of candidate keywords associated with the entity by extracting one or more n-grams from each identified content object, and sending, to the user, one or more suggested queries associated with the entity, each suggested query comprising one or more of the candidate keywords associated with the entity.

Abstract: In one embodiment, a method includes generating, for each of a plurality of first entities of an online social network, a plurality of candidate keywords associated with the first entity by extracting a plurality of n-grams from a plurality of content objects associated with the first entity. The method also includes identifying, from the plurality of first entities, responsive to determining that a second entity of the online social network is interacting with a search interface of the online social network, a plurality of entities associated with the second entity based at least in part on a search history of the second entity. The method also includes sending, to a client system of the second entity, for each of the plurality of identified entities associated with the second entity, instructions for presenting one or more suggested queries comprising one or more of the generated candidate keywords associated with the identified entity.

Abstract: In one embodiment, a method includes generating, for each of a plurality of first entities of an online social network, a plurality of candidate keywords associated with the first entity by extracting a plurality of n-grams from a plurality of content objects associated with the first entity. The method also includes identifying, from the plurality of first entities, responsive to determining that a second entity of the online social network is interacting with a search interface of the online social network, a plurality of entities associated with the second entity based at least in part on a search history of the second entity. The method also includes sending, to a client system of the second entity, for each of the plurality of identified entities associated with the second entity, instructions for presenting one or more suggested queries comprising one or more of the generated candidate keywords associated with the identified entity.

Abstract: In one embodiment, a method includes accessing multiple posts of an online social network, each post being associated with a first entity of the online social network. The method also includes generating multiple candidate keywords by extracting one or more n-grams from content of the accessed posts and calculating a rank for each candidate keyword. The method also includes storing one or more candidate keywords in association with the first entity, each stored candidate keyword having a calculated rank higher than a threshold rank and sending, to a second entity of the online social network, one or more suggested queries associated with the first entity for display on the client system, each suggested query comprising one or more of the stored candidate keywords associated with the first entity.

Abstract: In one embodiment, a method includes accessing multiple posts of an online social network, each post being associated with a first entity of the online social network. The method also includes generating multiple candidate keywords by extracting one or more n-grams from content of the accessed posts and calculating a rank for each candidate keyword. The method also includes storing one or more candidate keywords in association with the first entity, each stored candidate keyword having a calculated rank higher than a threshold rank and sending, to a second entity of the online social network, one or more suggested queries associated with the first entity for display on the client system, each suggested query comprising one or more of the stored candidate keywords associated with the first entity.