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:
Dec. 05, 2023

Filed:

Apr. 02, 2021
Applicant:

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

Inventors:

Ajinkya Gorakhnath Kale, San Jose, CA (US);

Fan Yang, San Jose, CA (US);

Qiaosong Wang, San Francisco, CA (US);

Mohammadhadi Kiapour, Roslyn, NY (US);

Robinson Piramuthu, Oakland, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06Q 30/0601 (2023.01); G06F 16/583 (2019.01); G06F 16/2452 (2019.01); G06F 16/2457 (2019.01); G06F 16/532 (2019.01); G06N 5/022 (2023.01); G06N 3/044 (2023.01); G06N 7/01 (2023.01); G06N 3/02 (2006.01);
U.S. Cl.
CPC ...
G06Q 30/0625 (2013.01); G06F 16/24522 (2019.01); G06F 16/24578 (2019.01); G06F 16/532 (2019.01); G06F 16/583 (2019.01); G06N 3/02 (2013.01); G06N 3/044 (2023.01); G06N 5/022 (2013.01); G06N 7/01 (2023.01);
Abstract

Systems, methods, and computer program products for identifying a relevant candidate product in an electronic marketplace. Embodiments perform a visual similarity comparison between candidate product image visual content and input query image visual content, process formal and informal natural language user inputs, and coordinate aggregated past user interactions with the marketplace stored in a knowledge graph. Visually similar items and their corresponding product categories, aspects, and aspect values can determine suggested candidate products without discernible delay during a multi-turn user dialog. The user can then refine the search for the most relevant items available for purchase by providing responses to machine-generated prompts that are based on the initial search results from visual, voice, and/or text inputs. An intelligent online personal assistant can thus guide a user to the most relevant candidate product more efficiently than existing search tools.


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