Eugene Yan • 9/5/2021

Reinforcement Learning for Recommendations and Search

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This technical article analyzes the limitations of traditional recommendation systems and details how reinforcement learning (RL) can address issues like short-term optimization and the cold-start problem. It covers RL approaches including contextual bandits, value-based, and policy-based methods, with a specific example from Yahoo's news recommendation system using hybrid linear models and feature engineering.

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#recommendation systems #Search #Reinforcement Learning
Reinforcement Learning for Recommendations and Search

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