Netflix patent applications on October 24th, 2024

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Patent Applications by Netflix on October 24th, 2024

Netflix: 1 patent applications

Netflix has applied for patents in the areas of G06N3/092 (1) G06N3/092 (1)

With keywords such as: pipeline, learning, data, ingestion, systems, methods, reinforcement, agent, deep, and recommender in patent application abstracts.



Patent Applications by Netflix

20240354585. OPTIMIZING DEEP LEARNING RECOMMENDER MODEL DATA PIPELINES WITH REINFORCEMENT LEARNING_simplified_abstract_(netflix)

Inventor(s): Kabir Nagrecha of San Diego CA (US) for netflix, Lingyi Liu of Pleasanton CA (US) for netflix, Pablo A. Delgado Aqueveque of San Jose CA (US) for netflix, Prasanna Padmanabhan of San Jose CA (US) for netflix

IPC Code(s): G06N3/092

CPC Code(s): G06N3/092



Abstract: a computer-implemented method for leveraging reinforcement learning to optimize data ingestion in a deep learning recommender model training pipeline. for example, the discussed methods and systems introduce a reinforcement learning agent into a deep learning recommender model data ingestion pipeline to avoid many symptoms of an un-optimized data ingestion pipeline including, but not limited to, out-of-memory errors, un-optimized user-defined-functions in the data ingestion pipeline, and poor responses to machine re-sizing. the discussed methods and systems teach the reinforcement learning agent to make resource allocation choices within the data ingestion pipeline that are motivated by outcomes that reduce pipeline latency and memory usage. various other methods, systems, and computer-readable media are also disclosed.


Netflix patent applications on October 24th, 2024