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:
Jan. 02, 2018

Filed:

Mar. 31, 2016
Applicant:

Ebay Inc., San Jose, CA (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, Hyattsville, MD (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01); G06Q 30/06 (2012.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0625 (2013.01); G06F 17/3053 (2013.01); G06F 17/3064 (2013.01); G06F 17/30386 (2013.01); G06F 17/30646 (2013.01); G06F 17/30861 (2013.01); G06Q 30/02 (2013.01);
Abstract

Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are 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 assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.


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