OpenRec

OpenRec is an open-source and modular library for deep-learning based recommendation algorithms. State of the art recommendation algorithms are increasingly complex and often address specific use cases. OpenRec provides a modular architecture to adapt, extend, and compare algorithms across heterogeneous scenarios.
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Location
New York, NY
Stage
Open Source
Team Members
Deborah Estrin
Robert V. Tishman Professor of Computer Science; Associate Dean for Impact; Affiliate Faculty, Population Health Sciences, Weill Cornell Medicine
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