Microsoft Technology Licensing, LLC

Arjun Mukherjee

Michael Gamon

Patrick Pantel

Banafsheh Samareh Abolhasani

A cloud compute resource provider implements a method for automatically adjusting a quota of compute resources allocated to an individual customer subscription. The method includes determining a current usage metric for the individual customer subscription for a recent time interval; determining whether a subscription-based historical usage model has been trained on historical usage data of the individual customer subscription; and responsive to determining that the subscription-based historical usage model has been trained, executing the subscription-based historical usage model to generate a future resource usage metric predicting a usage of the customer subscription over a future time interval; and outputting a recommended adjusted resource quota for the individual subscription, the predicted future resource usage metric satisfying a target utilization of the recommended adjusted resource quota.

Predictive quota management for cloud customers

An 'Engagement Predictor' provides various techniques for predicting whether things and concepts (i.e., 'nuggets') in content will be engaging or interesting to a user in arbitrary content being consumed by the user. More specifically, the Engagement Predictor provides a notion of interestingness, i.e., an interestingness score, of a nugget on a page that is grounded in observable behavior during content consumption. This interestingness score is determined by evaluating arbitrary documents using a learned transition model. Training of the transition model combines web browsing log data and latent semantic features in training data (i.e., source and destination documents) automatically derived by a Joint Topic Transition (JTT) Model. The interestingness scores are then used for highlighting one or more nuggets, inserting one or more hyperlinks relating to one or more nuggets, importing content relating to one or more nuggets, predicting user clicks, etc.

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Chicago, IL, United States of America

Arjun Mukherjee