Invention Grant
- Patent Title: Control system for learning and surfacing feature correlations
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Application No.: US15684319Application Date: 2017-08-23
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Publication No.: US11100424B2Publication Date: 2021-08-24
- Inventor: Ravikumar Venkata Seetharama Bandaru , Michael Karl-Frans Berg
- 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: Kelly, Holt & Christenson, PLLC
- Agent Christopher J. Volkmann
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/02

Abstract:
A plurality of different hosted services each includes enabling logic that enables a set of actions. Usage data for a plurality of different tenants are accessed and actions are grouped into features based upon underlying enabling logic. A correlation score between features is identified based on tenant usage data for those features. A tenant under analysis is selected and usage data for the tenant under analysis is used to identify related features that the tenant under analysis is not using, based upon the correlation scores for the features. An output system is controlled to surface the related features for the tenant under analysis.
Public/Granted literature
- US20190065983A1 CONTROL SYSTEM FOR LEARNING AND SURFACING FEATURE CORRELATIONS Public/Granted day:2019-02-28
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