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Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences
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By disentangling state representation from policy optimization, DSRM-HRL breaks the accuracy-fairness tradeoff in recommender systems, achieving state-of-the-art fairness without sacrificing utility.
Solve the cold-start problem for long-tail items in recommender systems by proactively shaping user preferences, rather than just boosting item exposure.
