Invention Grant
- Patent Title: Automated exception featurization and search
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Application No.: US16659174Application Date: 2019-10-21
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Publication No.: US11599814B2Publication Date: 2023-03-07
- Inventor: Foyzul Hassan , Chetan Bansal , Thomas Michael Josef Zimmermann , Nachiappan Nagappan , Ahmed Awadallah
- 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: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F16/9532
- IPC: G06F16/9532 ; G06N20/00 ; G06F8/41 ; G06N7/00

Abstract:
A computer implemented method includes receiving an exception generated based on programming code, generating exception features from the received exception, the generated exception features being generated based on a set exception features derived from search logs, and executing a machine learning model on the received exception and generated exception features to provide information from the search logs identified as most helpful to resolve the received exception, wherein the machine learning model was trained on training data comprising extracted exceptions and the set of exception features derived from the search logs.
Public/Granted literature
- US20210117838A1 Automated Exception Featurization and Search Public/Granted day:2021-04-22
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