2021

Reinforcement learning based recommender systems: A survey

Afsar, M. Mehdi, Crump, Trafford, Far, Behrouz

Understand

Recommender systems (RSs) have become an inseparable part of our everyday lives.

They help us find our favorite items to purchase, our friends on social networks, and our favorite movies to watch.
Traditionally, the recommendation problem was considered to be a classification or prediction problem, but it is now widely agreed that formulating it as a sequential decision problem can better reflect the user-system interaction.
Therefore, it can be formulated as a Markov decision process (MDP) and be solved by reinforcement learning (RL) algorithms.

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