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Movie Recommendation

Evaluates the ability of language models to propose relevant movie recommendations with collaborative filtering data.

Source: BIG-bench

Papers

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Showing 21–30 of 113 papers

TitleStatusHype
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion—0
CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework—0
Harm Mitigation in Recommender Systems under User Preference DynamicsCode0
Large Language Models as Recommender Systems: A Study of Popularity Bias—0
Leveraging Offline Data in Linear Latent Bandits—0
Practical 0.385-Approximation for Submodular Maximization Subject to a Cardinality ConstraintCode0
Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems—0
Group Movie Selection using Multi-channel Emotion Recognition—0
RecMind: Japanese Movie Recommendation Dialogue with Seeker's Internal State—0
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems—0
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