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公开(公告)号:US20230351335A1
公开(公告)日:2023-11-02
申请号:US17733621
申请日:2022-04-29
Applicant: Microsoft Technology Licensing, LLC
Inventor: Satish CHANDRA , Yaming LIU , Manish RAJANGAM , Rahul KUMAR , Avneesh RAI , Andrew ZHANG , Shuming SUN , Saleha Iqbal HUSSAIN , Swati SHARMA , Akash RATHORE
CPC classification number: G06Q10/1095 , G06Q10/1091 , G06Q10/06311 , G06N20/00
Abstract: The systems and methods provide assistance in employee interactions. The systems and methods automatically schedule meetings between a manager and a report in response to changes in human resource data. The systems and methods track the meetings between the manager and the report during a time period and obtain meeting minutes for the meetings. The systems and methods analyze the meeting minutes and automatically generate feedback based on the analysis of the meeting minutes. The feedback is provided to the report or the manager.
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2.
公开(公告)号:US20210019142A1
公开(公告)日:2021-01-21
申请号:US16515135
申请日:2019-07-18
Applicant: Microsoft Technology Licensing, LLC
Inventor: Ranjita BHAGWAN , Chandra Sekhar MADDILA , Aditya KUMAR , Sumit ASTHANA , Rahul KUMAR , Sonu MEHTA , Chetan BANSAL , Balasubramanyan ASHOK , Christian Alma BIRD
Abstract: Described herein is a system and method for detecting correlated changes (e.g., between code files and configuration files). For a plurality of code files and a plurality of configuration files, a correlated change model is trained to identify correlated changes across the code files and the configuration files using a machine learning algorithm that discovers change rules using a support parameter, and, a confidence parameter, and, a refinement algorithm that refines the discovered change rules. The correlated change model comprising the change rules is stored. The correlated change model can be used to identify potential issue(s) regarding a particular file (e.g., changed code or configuration file(s)). Information regarding the identified potential issue(s) can be provided to a user.
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