Abstract: In one embodiment, a method includes receiving, from a client system, a query inputted by a first user at a search client, the search client being associated with context data from a page associated with the search client. The context data identifies: a type of the page associated with the search client, a social context of the page associated with the search client, and a threshold number of search results for display. The method includes identifying one or more entities matching the query and ranking each of the identified entities based at least in part on the social context and the type of the page associated with the search client. The method includes sending, to the client system, instructions for presenting a search-results interface including the threshold number of search results corresponding to the threshold number of top ranking identified entities.

Abstract: The technology disclosed relates to sub-clustering within service clusters in real-time. In particular, it relates to accessing a network topology that records node data and connection data including processes running on numerous hosts grouped into local services on the hosts, the local services running on multiple hosts grouped into service clusters and sub-clusters of service clusters, and network connections used by the service clusters to connect the hosts grouped into service connections, wherein the node data includes software versions of the processes and process data with configuration files and clustering the multiple hosts with the service clusters into the sub-clusters based at least in part on the software versions.

Abstract: In one embodiment, a method includes receiving, from a client system, a query inputted by a first user at a search client, the search client being associated with context data from a page associated with the search client. The context data identifies: a type of the page associated with the search client, a social context of the page associated with the search client, and a threshold number of search results for display. The method includes identifying one or more entities matching the query and ranking each of the identified entities based at least in part on the social context and the type of the page associated with the search client. The method includes sending, to the client system, instructions for presenting a search-results interface including the threshold number of search results corresponding to the threshold number of top ranking identified entities.

Abstract: In one embodiment, a method includes accessing a social graph comprising nodes and a edges connecting the nodes, receiving from a first user a query inputted at a search client, the search client being associated with context data from a page associated with the search client, such that the context data identifies one or more nodes associated with the page, generating search results corresponding to the query, wherein each of the search results corresponds to a node, and scoring the search results based at least in part on the context data associated with the search client. The context data may identify a social context of the page, which can include tags, comments, likes, commenters, and the like.

Abstract: In one embodiment, a method includes accessing a social graph comprising nodes and a edges connecting the nodes, receiving from a first user a query inputted at a search client, the search client being associated with context data from a page associated with the search client, such that the context data identifies one or more nodes associated with the page, generating search results corresponding to the query, wherein each of the search results corresponds to a node, and scoring the search results based at least in part on the context data associated with the search client. The context data may identify a social context of the page, which can include tags, comments, likes, commenters, and the like.