Amy L Campbell

US Patent:

20160042069, Feb 11, 2016

Filed:

Aug 8, 2014

Appl. No.:

14/455798

Inventors:

- Menlo Park CA, US
Lada Ariana Adamic - Mountain View CA, US
David M. Goldblatt - Redwood City CA, US
Yuval Kesten - San Francisco CA, US
Mark Andrew Rich - Redwood City CA, US
Nidhi Gupta - Mountain View CA, US
Amy Campbell - San Francisco CA, US
Andrew Rocco Tresolini Fiore - San Francisco CA, US

International Classification:

G06F 17/30

Abstract:

In one embodiment, a method includes receiving unstructured text from a user of a social-networking system, determining whether the unstructured text includes a request for a recommendation, identifying one or more first entity names in the unstructured text, generating a structured query based upon the one or more first entity names, identifying, in the social graph, one or more second entity names corresponding to the structured query, and presenting the one or more second entity names and the unstructured text in a social context of the user. The unstructured text may include text of a post or message generated by the user on a social-networking system. A score may be generated based on the unstructured text to determine whether the text includes a request for recommendation using a machine-learning model based on comparison of the unstructured text to the one or more predetermined words associated with requests for recommendation.

US Patent:

20150293931, Oct 15, 2015

Filed:

Jun 26, 2015

Appl. No.:

14/752407

Inventors:

- Menlo Park CA, US
Michael Benjamin Cohen - Menlo Park CA, US
Maxime Boucher - Mountain View CA, US
Alisson Gusatti Azzolini - San Francisco CA, US
Xiao Li - Sunnyvale CA, US
Lars Eilstrup Rasmussen - San Francisco CA, US
Kathryn Hymes - Mountain View CA, US
Amy Campbell - San Francisco CA, US

International Classification:

G06F 17/30

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.

US Patent:

20140136564, May 15, 2014

Filed:

Nov 12, 2012

Appl. No.:

13/674695

Inventors:

Yofay Kari Lee - Palo Alto CA, US
Michael Benjamin Cohen - Menlo Park CA, US
Maxime Boucher - Mountain View CA, US
Alisson Gusatti Azzolini - San Francisco CA, US
Xiao Li - Sunnyvale CA, US
Lars Eilstrup Rasmussen - San Francisco CA, US
Kathryn Hymes - Mountain View CA, US
Amy Campbell - San Francisco CA, US

International Classification:

G06F 17/30

US Classification:

707769, 707E17014

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.