Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning
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DOI: 10.1109/tkde.2021.3137310
Abstract: Although reinforcement learning (RL) techniques are regarded as promising solutions for interactive recommender systems (IRS), such solutions still face three main challenges, namely, i) time inefficiency when handling large discrete action space in IRS, ii)… read more here.
Keywords: reinforcement learning; recommendation; cold start; tree ... See more keywords