A Sample‐Efficient Actor‐Critic Algorithm for Recommendation Diversification
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DOI: 10.1049/cje.2019.10.004
Abstract: Diversifying recommendation results gains benefits from satisfying user's existing interests as well as exploring novel information needs. Recently proposed Monte-Carlo based reinforcement learning method suffers from sample inefficiency, large variance, and even failing to perform… read more here.
Keywords: algorithm recommendation; recommendation; actor; actor critic ... See more keywords