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Do Generative Recommenders Deepen the Information Cocoon? A Closed-Loop Simulation with LLM-powered User Simulators Introduces a framework with LLM-powered user agents to study information cocoons in generative recommenders. šŸ“ arxiv.org/abs/2606.17707 šŸ‘ØšŸ½ā€šŸ’» github.com/Dregen-Yor/R...
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Recommender systems alleviate information overload, yet repeated feedback between recommendations and user interactions can reinforce existing preferences and narrow users' exposure, forming informati...
Do Generative Recommenders Deepen the Information Cocoon? A Closed-Loop Simulation with LLM-powered User Simulators
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