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:
Nov. 22, 2022

Filed:

Sep. 22, 2020
Applicant:

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

Inventors:

Jean-David Ruvini, Mountain View, CA (US);

Ramesh Periyathambi, San Ramon, CA (US);

Lakshimi Duraivenkatesh, San Ramon, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06F 40/35 (2020.01); G06Q 30/06 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0185 (2013.01); G06F 40/35 (2020.01); G06Q 30/0609 (2013.01); G06Q 30/0627 (2013.01); G06Q 30/0641 (2013.01);
Abstract

A counterfeit item detection system detects counterfeit items during an item listing processes provided by an online marketplace. The system enhances the ability of the online marketplace to identify and reject potential counterfeit items. The system collects item data in various formats. The item data is analyzed using speech-to-text software and natural language processing to determine data elements representing items, item features, and language context. Questions are generated using the items and item features, and stored for each item. Answers to the questions have associated counterfeit indication weights. The weights are modified and used to rank the questions as feedback is received about counterfeit items. The ranking determines future question selection, allowing the best questions to continually be identified and provided. The counterfeit item detection system also trains a neural network to detect counterfeit items in images, where the training images are obtained from videos related to the item.


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