Reinforcement Learning-based Recommendation Algorithm

A Reinforcement Learning-based Recommendation Algorithm is an item recommendation algorithm that is a reinforcement-based learning algorithm.

• See: Online Learning Algorithm, Sequence-Aware Item Recommendation Algorithm‎‎.

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References

2019

• "Reinforcement Learning for Recommender Systems: A Case Study on Youtube," by Minmin Chen
  • https://www.youtube.com/watch?v=HEqQ2_1XRTs

2018

• "Deep Reinforcement Learning for News Recommendation. Part 1: Architecture."
  • QUOTE: ... Most of the existent recommendation systems use static approach for news predictions, i.e. they do not understand that your actions (news choices) are sequential. The second problem is that previous methods are often short-sighted, meaning they will not focus on long-term rewards. This problem may easily be solved using higher gamma value, but usually, it is not the case. ...

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