Roku, Inc.

Thanh Dang

Srimaruti Manoj Nimmagadda

Kapil Kumar

Rahul Agarwal

Ratul Ray

Danish Shaikh

Disclosed herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for ranking a plurality of content items for presentation to a user. An embodiment generates a ranking score for each content item by: providing input to a deep machine learning (ML) model, the input including at least one or more query features and one or more content item features, determining, by the deep ML model and based at least on the input, a first probability of a first type of interaction between the user and the content item and a second probability of a second type of interaction between the user and the content item, and calculating the ranking score for the content item based at least on the first and second probabilities. An embodiment ranks the content items for presentation based on the ranking score associated with each content item.

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SANTA CLARA, CA, United States of America

Thanh Dang