Facebook, Inc.

Yofay Kari Lee

Xiao Li

Lars Eilstrup Rasmussen

Maxime Boucher

Spencer G Ahrens

Alisson Gusatti Azzolini

Michael Benjamin Cohen

Chaitanya Mishra

Mark E Zuckerberg

Xin Liu

Michael Steven Vernal

Austin Haugen

Ray C He

Keith Lanka Peiris

William Russell Maschmeyer

Lars Rasmussen

Akhil Wable

Hong Yan

Guizhen Yang

Aaron Sittig

Joshua Keith Duck

Craig S Campbell

Kathryn Hymes

Amy Campbell

Michael Curtiss

Peter Xiu Deng

Luke Andrew Delorme

Austin Daniel Haugen

In particular embodiments, a method includes receiving, from a client system of a first user, a structured query comprising references to one or more objects associated with the online social network, identifying a set of target objects corresponding to the structured query, wherein each target object in the set is an object that is connected within the online social network to at least one of the objects referenced in the structured query, filtering the set of target objects based on a privacy setting of each of the connections to the target object, and generating search results comprising references to each target object from the post-filtered set that is connected to the first user within the online social network by a series of connections that have a visibility that is visible to the first user.

Filtering search results for structured search queries

In one embodiment, a method includes receiving, from a client system of a user, an indication of the user accessing a query field associated with a profile interface of a first entity, accessing a relational database to identify one or more second entities related to the first entity, generating one or more suggested queries based on the first entity, each suggested query comprising a name string of the first entity and one or more second name strings of one or more of the identified second entities, respectively, and sending, to the client system, responsive to the user accessing the query field, instructions for displaying one or more of the suggested queries.

Default suggested queries on online social networks

In particular embodiments, a method includes receiving, from a client device associated with a first user of an online social network, a text query comprising one or more character strings, identifying one or more data objects that match at least a portion of one or more of the character strings, wherein each of the identified data objects is connected to the first user within the online social network, generating one or more recommended queries that each comprise the character strings of the text query and references to one or more of the identified data objects, and sending, to the client device associated with the first user in response to receiving the text query, one or more of the recommended queries for display to the first user.

Personalized structured search queries for online social networks

In particular embodiments, a method includes receiving, from a client device associated with a first user of an online social network, an unstructured text query, parsing the text query to identify one or more n-grams, determining a score for each n-gram, wherein the score for each n-gram is a probability that the n-gram corresponds to a particular data object of a plurality of data objects associated with the online social network, identifying one or more data objects based on the scores of their corresponding n-grams, each identified data object corresponding to at least one of the n-grams, and generating one or more structured queries that each comprise references to one or more of the identified data objects.

Detecting social graph elements for structured search queries

In one embodiment, a method includes receiving, from a client system, a character string having n characters entered by the first user into a query field, wherein a term comprising the ncharacter of the character string is an ambiguous term, identifying one or more objects corresponding to the ambiguous term based on a calculated probability that the ambiguous term corresponds to the identified objects, sending instructions for presenting a set of suggested queries to the first user, each suggested query from the set of suggested queries corresponding to one of the identified objects and comprising a reference to the corresponding identified object, receiving a selection of a suggested query corresponding to a first object of the identified objects, and sending, responsive to receiving the selection of the suggested query, instructions for modifying the ambiguous term in the query field to include a reference to the first object.

Suggested terms for ambiguous search queries

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, generating structured queries that include references to the identified nodes and edges, receiving a selection of a structured query, identifying target nodes that correspond to the structured query, and then generating search results that include target nodes with privacy settings where the nodes and edges along the path connecting the target node and the querying user are all visible to the user.

Filtering structured search queries based on privacy settings

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.

Default structured search queries on online social networks

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.

Personalizing a web page outside of a social networking system with content from the social networking system

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.

Grammar model for structured search queries

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.

Real-time content searching in social network

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.

Ambiguous structured search queries on online social networks

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.

Real time content searching in social network

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.

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.

Growing community of inventors

Palo Alto, CA, United States of America

Yofay Kari Lee