Microsoft Corporation
Control system for learning and surfacing feature correlations

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.