RESEARCH

Breaking the Filter Bubble: A Semantic Pareto-DQN Framework for Multi-Objective Recommendation

ArXiv cs.AI · Wed, 24 Jun 2026 04:00:00 GMT

arXiv:2606.24042v1 Announce Type: new Abstract: Recommender systems often induce filter bubbles and semantic homogenization by monolithically optimizing for immediate user engagement. Standard single-objective models, including traditional Deep Q-Networks, are ill-equipped to nav

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