Benjamin P Rey

US Patent:

7634462, Dec 15, 2009

Filed:

Aug 10, 2005

Appl. No.:

11/200851

Inventors:

Tina Weyand - Los Angeles CA, US
Rosie Jones - Pasadena CA, US
Benjamin Rey - Santa Monica CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

C06F 7/00
C06F 17/30

US Classification:

707 3, 707 2, 707 5, 707 7

Abstract:

A system and method for receiving a query and determining candidate alternate queries. A query may be parsed into concepts and then candidates for alternate terms may be determined for either the whole query or the determined concepts. Candidates are scored for their respective similarity to the original query. After scoring, at least one candidate is chosen and may be used as a possible alternate query choice for a user or used to serve bidded advertisements to the user.

US Patent:

7689554, Mar 30, 2010

Filed:

Feb 28, 2006

Appl. No.:

11/365315

Inventors:

Rosie Jones - Pasadena CA, US
Kevin Bartz - Pasadena CA, US
Benjamin Rey - Santa Monica CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

G06F 7/00
G06F 17/30

US Classification:

707 4, 707 5, 707 6

Abstract:

The present invention relates to systems and methods for identifying one or more queries related to a given query. The method of the present invention comprises receiving a query written according to one or more writing systems of a language with multiple writing systems. A candidate set of queries written according to one or more writing systems of the language with multiple writing systems is identified. A score is calculated for the one or more queries in the candidate set indicating the similarity of the one or more queries with respect to the query received.

US Patent:

7752220, Jul 6, 2010

Filed:

Aug 10, 2005

Appl. No.:

11/202388

Inventors:

Tina Weyand - Los Angeles CA, US
Rosie Jones - Pasadena CA, US
Benjamin Rey - Santa Monica CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

G06F 17/30

US Classification:

707767, 707719

Abstract:

A system and method for receiving a query and determining candidate alternate queries. A query may be parsed into concepts and then candidates for alternate terms may be determined for either the whole query or the determined concepts. Candidates are scored for their respective similarity to the original query. After scoring, at least one candidate is chosen and may be used as a possible alternate query choice for a user or used to serve bidded advertisements to the user.

US Patent:

7814086, Oct 12, 2010

Filed:

Nov 16, 2006

Appl. No.:

11/600698

Inventors:

Kevin Bartz - Cambridge MA, US
Vijay Murthi - Glendale CA, US
Benjamin Rey - Santa Monica CA, US
Shaji Sebastian - Pasadena CA, US

Assignee:

Yahoo! Inc. - Sunnyvale CA

International Classification:

G06F 17/30

US Classification:

707708, 706 44, 706 45

Abstract:

The present disclosure is directed to systems and methods for determining semantically related terms based on sequences of search queries. Generally, a semantically related term tool examines search logs to associate search queries with a user submitting the search query. The semantically related term tool establishes a plurality of sequences of search queries, each sequence of search queries comprising one or more search queries associated with a common user and relating to a common concept. The semantically related term tool receives one or more seed terms and determines one or more terms related to the received seed terms based on the established plurality of sequences of search queries.

US Patent:

20080071740, Mar 20, 2008

Filed:

Sep 18, 2006

Appl. No.:

11/522638

Inventors:

Pradhuman Jhala - Glendale CA, US
Benjamin Rey - Santa Monica CA, US

International Classification:

G06F 17/30

US Classification:

707 3

Abstract:

A system is described for discovering associative intent queries based on search web logs. The system may mine one or more user sessions comprising data from search engine query logs and generate query pairs based on the data. The system may use statistics and morphology to identify relationships among the query pairs. From these relationships, the system may distinguish the associative intent query pairs from the similar and unrelated intent query pairs.