Invention Grant
- Patent Title: Utilize high performing trained machine learning models for information retrieval in a web store
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Application No.: US16918928Application Date: 2020-07-01
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Publication No.: US11599548B2Publication Date: 2023-03-07
- Inventor: Alan Lee , Ru Wang , Ritaja Sur , Arjun Manimaran , Suraj Nayak Mithbail , Xiaoyu Jin , Jinge Zhang , Xiaobing Luo , Zhiyu Liang , Milan Kumar Behera , Thrinath Babu Kathula
- Applicant: Kohl's, Inc.
- Applicant Address: US WI Menomonee Falls
- Assignee: Kohl's, Inc.
- Current Assignee: Kohl's, Inc.
- Current Assignee Address: US WI Menomonee Falls
- Agency: Perkins Coie LLP
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F16/2457 ; G06N20/00 ; G06Q30/0282 ; G06F16/248 ; G06Q30/0601 ; G06N5/04

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.
Public/Granted literature
- US20210004379A1 UTILIZE HIGH PERFORMING TRAINED MACHINE LEARNING MODELS FOR INFORMATION RETRIEVAL IN A WEB STORE Public/Granted day:2021-01-07
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