Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning

Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen

Neural Information Processing Systems 

However, recommendations can easily violate preferences of users from their past natural-language feedback, since the recommender needs to explore new items for further improvement.

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