Microsoft Technology Licensing, LLC

Emre Hamit Kok

Pushpraj Shukla

Mayank Shrivastava

Sonal Prakash Mane

Hui Zhou

Dimitrios Brisimitzis

Training query intents are allocated for multiple training entities into training time intervals in a time series based on a corresponding query intent time for each training query intent. Training performance results for the multiple training entities are allocated into the training time intervals in the time series based on a corresponding performance time of each training performance result. A machine learning model for a training milestone of the time series is trained based on the training query intents allocated to a training time interval prior to the training milestone and the training performance results allocated to a training time interval after the training milestone. Target performance for the target entity for an interval after a target milestone in the time series is predicted by inputting to the trained machine learning model target query intents allocated to the target entity in a target time interval before the target milestone.

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Emre Hamit Kok