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:
Jul. 13, 2021

Filed:

Aug. 02, 2017
Applicant:

Facebook, Inc., Menlo Park, CA (US);

Inventors:

Apurva Jadhav, Mountain View, CA (US);

Shashikant Khandelwal, Mountain View, CA (US);

Nikhil Gupta, Palo Alto, CA (US);

Gurpreetsingh Sachdev, Mountain View, CA (US);

Assignee:

Facebook, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/95 (2019.01); G06Q 30/06 (2012.01); G06Q 30/02 (2012.01); G06F 16/2457 (2019.01); G06F 16/35 (2019.01); G06F 16/951 (2019.01); G06F 16/9535 (2019.01); G06F 16/248 (2019.01); G06F 16/9538 (2019.01); G06F 16/838 (2019.01); G06F 16/338 (2019.01);
U.S. Cl.
CPC ...
G06Q 30/0627 (2013.01); G06F 16/248 (2019.01); G06F 16/24578 (2019.01); G06F 16/353 (2019.01); G06F 16/951 (2019.01); G06F 16/9535 (2019.01); G06F 16/9538 (2019.01); G06Q 30/0206 (2013.01); G06Q 30/0282 (2013.01); G06Q 30/0629 (2013.01); G06F 16/338 (2019.01); G06F 16/838 (2019.01);
Abstract

Systems and methods for ranking one or more products in online shopping. One or more products are identified based on a search query received from user. The one or more products are ranked based on terms present in the search query. Each of the one or more products has one or more attributes associated with it. An attribute score for each of the one or more products is determined. Further, based on the attribute score, the relevancy of the one or more products is determined. Based on the relevancy, a marginal relevancy score for each of the one or more products is determined. The one or more products are re-ranked based on the marginal relevancy score. The rank of the one or more products can also be modified to optimize revenue generation.


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