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:
Mar. 07, 2023

Filed:

Jul. 01, 2020
Applicant:

Kohl's, Inc., Menomonee Falls, WI (US);

Inventors:

Alan Lee, Sunnyvale, CA (US);

Ru Wang, Santa Clara, CA (US);

Ritaja Sur, Sunnyvale, CA (US);

Arjun Manimaran, San Jose, CA (US);

Suraj Nayak Mithbail, San Jose, CA (US);

Xiaoyu Jin, Milipitas, CA (US);

Jinge Zhang, San Ramon, CA (US);

Xiaobing Luo, Milipitas, CA (US);

Zhiyu Liang, San Jose, CA (US);

Milan Kumar Behera, Fremont, CA (US);

Thrinath Babu Kathula, Dublin, CA (US);

Assignee:

Kohl's, Inc., Menomonee Falls, WI (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 16/2457 (2019.01); G06N 20/00 (2019.01); G06Q 30/0282 (2023.01); G06F 16/248 (2019.01); G06Q 30/0601 (2023.01); G06N 5/04 (2023.01);
U.S. Cl.
CPC ...
G06F 16/24578 (2019.01); G06F 16/248 (2019.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/0282 (2013.01); G06Q 30/0625 (2013.01);
Abstract

The present technology is directed to high performing trained machine learning models for information retrieval in a web store. In some embodiments, for example, when a search query is received from a user of an online retailer, a computer system associated with the online retailer accesses measurements of performance of sets of search results returned in response to previous user search queries. Each of the previous search results set is a set that was ranked by a machine learning model selected from a store of machine learning models that are each trained to rank search results. Based on the measurements of performance, the computer system selects a machine learning model to rank search results for a response to the received search query. The ranked search results are provided for output to the user.


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