Abstract: In one embodiment, a method includes receiving, from a client system, a search query, identifying a plurality of place-entity nodes matching the search query, determining that one or more of the identified place-entity nodes are low-quality place-entity nodes based on the place names of the place-entity nodes having anomalous language characteristics, filtering the plurality of identified place-entity nodes to exclude the determined low-quality place-entity nodes, and generating one or more search results corresponding to the plurality of filtered place-entity nodes.

Abstract: In one embodiment, a method includes receiving from a client system a search query, identifying a first place-entity based on the search query, accessing a place-entities graph comprising a plurality of place-entity nodes, each place-entity node representing a particular place-entity associated with a particular geographic location, wherein the first place-entity is represented by a first place-entity node, accessing a redirection graph comprising the plurality of place-entity nodes and a plurality of place-entity clusters, each place-entity node in a place-entity cluster having a redirection edge connecting the place-entity node to a canonical place-entity node of the respective place-entity cluster, and sending a response to the search query, wherein if the first place-entity node is connected to a canonical place-entity node by a redirection edge within the redirection graph, the response comprises a reference to the canonical place-entity node, else the response comprises a reference to the first place-en

Abstract: In one embodiment, a method includes receiving from a client system a search query, identifying a first place-entity based on the search query, accessing a place-entities graph comprising a plurality of place-entity nodes, each place-entity node representing a particular place-entity associated with a particular geographic location, wherein the first place-entity is represented by a first place-entity node, accessing a redirection graph comprising the plurality of place-entity nodes and a plurality of place-entity clusters, each place-entity node in a place-entity cluster having a redirection edge connecting the place-entity node to a canonical place-entity node of the respective place-entity cluster, and sending a response to the search query, wherein if the first place-entity node is connected to a canonical place-entity node by a redirection edge within the redirection graph, the response comprises a reference to the canonical place-entity node, else the response comprises a reference to the first place-en

Abstract: In one embodiment, an online social network accesses a place-entities graph that includes a plurality of place-entity nodes, each place-entity node representing a particular place-entity associated with a particular geographic location. From one of a plurality of search clients associated with the online social network, a threshold duplication value and a threshold redirect value is received. The online social network identifies place-entity clusters of place-entity nodes within the place-entities graph. In each place-entity cluster, the place-entity nodes have duplication values with respect to a canonical place-entity node in the cluster that are above the threshold duplication value. The online social network generates a redirection graph for the one search client.

Abstract: In one embodiment, an online social network accesses a place-entities graph that includes a plurality of place-entity nodes, each place-entity node representing a particular place-entity associated with a particular geographic location. From one of a plurality of search clients associated with the online social network, a threshold duplication value and a threshold redirect value is received. The online social network identifies place-entity clusters of place-entity nodes within the place-entities graph. In each place-entity cluster, the place-entity nodes have duplication values with respect to a canonical place-entity node in the cluster that are above the threshold duplication value. The online social network generates a redirection graph for the one search client.