Invention Grant
- Patent Title: Providing component recommendation using machine learning
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Application No.: US17403477Application Date: 2021-08-16
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Publication No.: US11763172B2Publication Date: 2023-09-19
- Inventor: Jayaprakash Vijayan , Ved Surtani , Nitika Gupta , Pratheek Manjunath Bharadwaj , Indrajit Saha
- Applicant: Tekion Corp
- Applicant Address: US CA Pleasanton
- Assignee: Tekion Corp
- Current Assignee: Tekion Corp
- Current Assignee Address: US CA Pleasanton
- Agency: Fenwick & West LLP
- Main IPC: G06Q30/0601
- IPC: G06Q30/0601 ; G06Q30/0202 ; G06Q30/016 ; G06Q10/20 ; G06N5/04 ; G06N20/00

Abstract:
A management system operates in conjunction with entities to provide component recommendations for objects. The management system trains a machine learning model used to generate the component recommendations. The machine learning model is trained based on historical component entries describing components previously provided and identifiers of the components. The management system generates training data by classifying the historical component entries into predetermined component classifications. After the machine learning model is trained, the management system generates a customized recommendation of components for an object based on likelihoods of selection of the predetermined component classifications.
Public/Granted literature
- US20230052423A1 PROVIDING COMPONENT RECOMMENDATION USING MACHINE LEARNING Public/Granted day:2023-02-16
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