most citedLarge Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences

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cs.IR2023★ 1 cited

Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences

Scott Sanner, Krisztian Balog, Filip Radlinski +2

Traditional recommender systems leverage users' item preference history to recommend novel content that users may like. However, modern dialog interfaces that allow users to expres…