Ever wonder how you can train algorithms to introduce fresh and new information while still making the recommendations targeted and personalized to the user? This talk will cover how and when to leverage reinforcement learning techniques for personalized recommendations problems in fields from everything from e-commerce to click-through-rate optimization, and how these methods can solve common challenges encountered in recommender systems such as the cold start problem and the echo chamber effect.
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