Invention Grant
- Patent Title: Machine learning for technical tool selection
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Application No.: US16678564Application Date: 2019-11-08
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Publication No.: US11514340B2Publication Date: 2022-11-29
- Inventor: Wen Rui Zhao , Yu Zhao , Li Ni Zhang , Lan Luo , Jing Bo Jiang , Li Long Chen , Li Jiang
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Scully, Scott, Murphy & Presser, P.C.
- Agent Michael A. Petrocelli
- Main IPC: G06F16/9535
- IPC: G06F16/9535 ; G06N5/04 ; G06F16/9032 ; G06N20/00

Abstract:
Methods and systems for selecting a tool for a project is described. In an example, a processor can run a machine learning model to generate a set of requirements to implement a project. The processor can identify a keyword from the set of requirements. The processor can search for the keyword on a search engine. The processor can receive a search result from the search engine corresponding to the keyword. The processor can identify, based on the search result, a tool that can be used to implement the project, where the tool can be in compliance with the set of requirements.
Public/Granted literature
- US20210142186A1 MACHINE LEARNING FOR TECHNICAL TOOL SELECTION Public/Granted day:2021-05-13
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