Sequential Recommendation Using Deep Reinforcement Learning and Multi-Head Attention

Recommender Systems have become a crucial part of many of our online interactions. From shopping for clothes, planning a trip, or deciding what to watch, recommender systems are aiming to help users navigate the overwhelming amount of options available online. The problem with most of the existing recommender systems is that they treat the recommendation process as a static one and make recommenda...