Whole-Chain Recommendations

11 Feb 2019 Xiangyu Zhao Long Xia Linxin Zou Hui Liu Dawei Yin Jiliang Tang

With the recent prevalence of Reinforcement Learning (RL), there have been tremendous interests in developing RL-based recommender systems. In practical recommendation sessions, users will sequentially access multiple scenarios, such as the entrance pages and the item detail pages, and each scenario has its specific characteristics... (read more)

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