Invention Grant
- Patent Title: Machine-learned predictive models and systems for data preparation recommendations
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Application No.: US17969377Application Date: 2022-10-19
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Publication No.: US11928564B2Publication Date: 2024-03-12
- Inventor: Yeye He , Cong Yan
- Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Workman Nydegger
- Main IPC: G06F15/16
- IPC: G06F15/16 ; G06F9/54 ; G06N5/02 ; G06N20/00 ; H04L29/06

Abstract:
Systems are provided for facilitating the building and use of models used to make data preparation recommendations. The systems identify ground truth from a plurality of notebooks and utilizes the ground truth to generate the corresponding data preparation recommendation models. The data preparation recommendation models are used to predict accurate (e.g., useful and relevant) data preparations steps based on user input and user notebook data. The data preparation computing system generates a recommendation prompt based on output from the data preparation recommendation model that can be viewed and/or selected by the user to be applied to the user's notebook data.
Public/Granted literature
- US20230043015A1 MACHINE-LEARNED PREDICTIVE MODELS AND SYSTEMS FOR DATA PREPARATION RECOMMENDATIONS Public/Granted day:2023-02-09
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