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AgentRecommender: LLM Agents Enable Customizable Recommender Systems on the User Side

Sato, Ryoma
arXiv (All) · Papers
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databasesdigital-librariesinformation-retrieval
Recommender systems have traditionally been developed for platforms. However, this has given rise to many phenomena that may be advantageous for platform lock-in but are a nuisance to users, such as clickbait, filter bubbles, and the spread of fake news. Recently, user-side recommender systems have
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