Microsoft Technology Licensing, LLC

Yash Ravi Punjabi

Ransom Lloyd Richardson

Rui Hu

Michael M Santos

Siqing Chen

Yimeng Li

Jichen Yang

William Nain Saez

Tejprakash Singh Gill

Anshul Basia

Joe A Herzog

David Milićević

Tracy A Childers

Priya Tushar Nakhre

Jinnie Park

Pramod Kumar Gupta

Elijah John Scherrer

Raymond C Li

Sidhika Varshney

Juan Antonio Karmy Tacla

Methods, systems, and computer storage media for providing action-recommendations (e.g., save action, collaboration action, and upload action) using cloud system operations in a cloud system. For example, action-recommendations are predicted using usage data of applications and communicated to a user (e.g., via a prompt) such that the user elects to perform or not perform the action-recommendation. In operation, usage data for an application and an action-recommendation profile are accessed. Determining that an action-recommendation should be generated is based on the usage data and the action-recommendation profile. The determination is further based on action scores and thresholds (e.g., save action, collaboration action, upload action). When the action scores meet certain thresholds, the action-recommendation is generated as a save-action-recommendation, a collaboration-action-recommendation, or an upload-action-recommendation. Based on generating the action-recommendation, an action recommendation interface element (e.g., an action prompt or action dialog) is generated to perform a corresponding action.

Prediction-based action-recommendations in a cloud system

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Seattle, WA, United States of America

Yash Ravi Punjabi