Sequence Adaptation via Reinforcement Learning in Recommender Systems

Stefanos Antaris, Dimitrios Rafailidis

Accounting for the fact that users have different sequential patterns, the main drawback of state-of-the-art recommendation strategies is that a fixed sequence length of user-item…