Abstract: In particular embodiments, a method includes receiving an unstructured text query, identifying nodes and edges from a social graph that correspond to n-grams in the text query, and then generating structured queries that include references to the identified nodes and edges.

Abstract: In one embodiment, a method includes accessing a social graph that includes a plurality of nodes and edges, receiving an unstructured text query, identifying nodes and edges that correspond to n-grams of the text query, accessing a context-free grammar model, identifying grammars having query tokens that correspond to the identified nodes and edges, determining a score for each identified grammar, and then generating structured queries based on the identified grammars based on strings generated by the grammars.

Abstract: A user device requests a web page from a web server of a third-party website, which is separate from a social networking system. The web server from the third-party website sends a markup language document for the requested web page to the user device which includes an instruction for a browser application running on the user device to incorporate information obtained from the social networking system within the web page. Based on the instruction in the received markup language document, the user device requests personalized content from the social networking system, which generates the requested personalized content based on social information about the user. The user device then renders the web page with the personalized content contained in a frame and displays the rendered web page and the frame to the user.

Abstract: A user device requests a web page from a web server of a third-party website, which is separate from a social networking system. The web server from the third-party website sends a markup language document for the requested web page to the user device which includes an instruction for a browser application running on the user device to incorporate information obtained from the social networking system within the web page. Based on the instruction in the received markup language document, the user device requests personalized content from the social networking system, which generates the requested personalized content based on social information about the user. The user device then renders the web page with the personalized content contained in a frame and displays the rendered web page and the frame to the user.

Abstract: A user device requests a web page from a web server of a third-party website, which is separate from a social networking system. The web server from the third-party website sends a markup language document for the requested web page to the user device which includes an instruction for a browser application running on the user device to incorporate information obtained from the social networking system within the web page. Based on the instruction in the received markup language document, the user device requests personalized content from the social networking system, which generates the requested personalized content based on social information about the user. The user device then renders the web page with the personalized content contained in a frame and displays the rendered web page and the frame to the user.

Abstract: In one embodiment, a method includes maintaining access to a data store of information corresponding to nodes and edges; receiving a user-generated character string comprising one or more characters of text entered by a user in an input form as they are entered by the user; searching the stored information for matches between the user-generated character string and existing nodes; determining whether or not a match between the user-generated character string and an existing node exists; and when it is determined that at least one match exists, generating an edge between the node corresponding to the user and the node for which the best match is determined; and when it is determined that no match between the user-generated character string and an existing node exists, generating a new node based on the user-generated character string, and generating an edge between the node corresponding to the user and the new node.

Abstract: A user device requests a web page from a web server of a third-party website, which is separate from a social networking system. The web server from the third-party website sends a markup language document for the requested web page to the user device which includes an instruction for a browser application running on the user device to incorporate information obtained from the social networking system within the web page. Based on the instruction in the received markup language document, the user device requests personalized content from the social networking system, which generates the requested personalized content based on social information about the user. The user device then renders the web page with the personalized content contained in a frame and displays the rendered web page and the frame to the user.

Abstract: Indexing and retrieving real time content in a social networking system is disclosed. A user-term index includes user-term partitions, each user-term partition comprising temporal databases. As a post is received from a user, a user identifier, a post identifier, and a post is extracted. An object store communicatively coupled to a temporal database for recently received content is queried to determine whether terms in the post has already been stored. A term identifier is stored in the user-term index with the user and post identifiers. A forward index stores the post by post identifier. Responsive to a search query, the user-term index is searched by the user's connections and the terms. A real time search engine compiles the results of the user-term index query and retrieves the stored posts from the forward index. The search results may then be ranked and cached before presentation to the searching user.

Abstract: Indexing and retrieving real time content in a social networking system is disclosed. A user-term index includes user-term partitions, each user-term partition comprising temporal databases. As a post is received from a user, a user identifier, a post identifier, and a post is extracted. An object store communicatively coupled to a temporal database for recently received content is queried to determine whether terms in the post has already been stored. A term identifier is stored in the user-term index with the user and post identifiers. A forward index stores the post by post identifier. Responsive to a search query, the user-term index is searched by the user's connections and the terms. A real time search engine compiles the results of the user-term index query and retrieves the stored posts from the forward index. The search results may then be ranked and cached before presentation to the searching user.

Abstract: In particular embodiments, a method includes receiving an unstructured text query, parsing the text query to identify n-grams; determining a score that the n-grams correspond to particular nodes and edges from a social graph, identifying those nodes and edges with a score greater than a threshold score, and then generating structured queries that include references to the identified nodes and edges.

Abstract: In particular embodiments, a method includes receiving an text query, identifying nodes and edges from a social graph that correspond to character strings from the text query, and then generating recommended queries that include references to the identified nodes and edges.

Abstract: In one embodiment, a method includes accessing a social graph that includes a plurality of nodes and edges, receiving an unstructured text query comprising an ambiguous n-gram, identifying nodes and edges that correspond to the ambiguous n-gram, generating a first set of structured queries corresponding to the identified second nodes and edges, receiving from the first user a selection of a first structured query form the first set, and generating a second set of structured queries based on the selected first structured query.

Abstract: In one embodiment, a method includes accessing a social graph that includes a plurality of nodes and edges, identifying a nodes corresponding to a page currently accessed by a first user, generating one or more structured queries, where each structured query comprises a reference to the identified node and one or more edges that are connected to the identified node, and transmitting one or more of the structured queries to the first user for display on the page.

Abstract: In particular embodiments, a method includes receiving an unstructured text query, identifying nodes and edges from a social graph that correspond to n-grams in the text query, and then generating structured queries that include references to the identified nodes and edges.

Abstract: A user device requests a web page from a web server of a third-party website, which is separate from a social networking system. The web server from the third-party website sends a markup language document for the requested web page to the user device which includes an instruction for a browser application running on the user device to incorporate information obtained from the social networking system within the web page. Based on the instruction in the received markup language document, the user device requests personalized content from the social networking system, which generates the requested personalized content based on social information about the user. The user device then renders the web page with the personalized content contained in a frame and displays the rendered web page and the frame to the user.

Abstract: A user device requests a web page from a web server of a third-party website, which is separate from a social networking system. The web server from the third-party website sends a markup language document for the requested web page to the user device which includes an instruction for a browser application running on the user device to incorporate information obtained from the social networking system within the web page. Based on the instruction in the received markup language document, the user device requests personalized content from the social networking system, which generates the requested personalized content based on social information about the user. The user device then renders the web page with the personalized content contained in a frame and displays the rendered web page and the frame to the user.

Abstract: A user device requests a web page from a web server of a third-party website, which is separate from a social networking system. The web server from the third-party website sends a markup language document for the requested web page to the user device which includes an instruction for a browser application running on the user device to incorporate information obtained from the social networking system within the web page. Based on the instruction in the received markup language document, the user device requests personalized content from the social networking system, which generates the requested personalized content based on social information about the user. The user device then renders the web page with the personalized content contained in a frame and displays the rendered web page and the frame to the user.

Abstract: A user device requests a web page from a web server of a third-party website, which is separate from a social networking system. The web server from the third-party website sends a markup language document for the requested web page to the user device which includes an instruction for a browser application running on the user device to incorporate information obtained from the social networking system within the web page. Based on the instruction in the received markup language document, the user device requests personalized content from the social networking system, which generates the requested personalized content based on social information about the user. The user device then renders the web page with the personalized content contained in a frame and displays the rendered web page and the frame to the user.

Abstract: A user device requests a web page from a web server of a third-party website, which is separate from a social networking system. The web server from the third-party website sends a markup language document for the requested web page to the user device which includes an instruction for a browser application running on the user device to incorporate information obtained from the social networking system within the web page. Based on the instruction in the received markup language document, the user device requests personalized content from the social networking system, which generates the requested personalized content based on social information about the user. The user device then renders the web page with the personalized content contained in a frame and displays the rendered web page and the frame to the user.

Abstract: A user device requests a web page from a web server of a third-party website, which is separate from a social networking system. The web server from the third-party website sends a markup language document for the requested web page to the user device which includes an instruction for a browser application running on the user device to incorporate information obtained from the social networking system within the web page. Based on the instruction in the received markup language document, the user device requests personalized content from the social networking system, which generates the requested personalized content based on social information about the user. The user device then renders the web page with the personalized content contained in a frame and displays the rendered web page and the frame to the user.