Microsoft Technology Licensing, LLC

Yiming Shi

Prerana Dharmesh Gambhir

Yongchang Dong

Khoa Dang Nguyen

Sharena Meena Pari-monasch

Systems and methods for identifying and evicting idle sessions include training a machine learning model as a session classifying model to learn rules for classifying active sessions between clients and the cloud-based service. The session classifying model is trained to receive a plurality of parameters pertaining to the document associated with an active session as input and to apply the rules to the plurality of parameters to determine a classification for the active session and to provide an output indicative of the classification for the active session. The session classifying model is then utilized in the cloud-based service to classify the active sessions. The active sessions classified as idle sessions may then be evicted from the cloud-based service.

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Milpitas, CA, United States of America

Yiming Shi