The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 10, 2015

Filed:

Jul. 28, 2011
Applicants:

Mohammad AL Hasan, Fortville, IN (US);

Nishith Parikh, Fremont, CA (US);

Gyanit Singh, San Jose, CA (US);

Neelakantan Sundaresan, Mountain View, CA (US);

Brian Scott Johnson, Campbell, CA (US);

Udayan Khurana, College Park, MD (US);

Inventors:

Mohammad Al Hasan, Fortville, IN (US);

Nishith Parikh, Fremont, CA (US);

Gyanit Singh, San Jose, CA (US);

Neelakantan Sundaresan, Mountain View, CA (US);

Brian Scott Johnson, Campbell, CA (US);

Udayan Khurana, College Park, MD (US);

Assignee:

eBay Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06F 17/30646 (2013.01); G06F 17/30386 (2013.01); G06F 17/3064 (2013.01); G06Q 30/02 (2013.01);
Abstract

Providing query suggestions using a query log including a number of user sessions that comprise training data including a sequence of a plurality of sets of queries. Some of the sets of queries include query transitions followed by a purchase related event. The query log is cleaned and normalized. Query log stationary scores and transition scores of at least some of the plurality of sets is generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the level are included as elements of the set of query suggestions that meet the predetermined assurance level. That set of query suggestions are mixed and ranked in accordance with a user behavior sought to be optimized.


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