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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 71–80 of 113 papers

TitleStatusHype
Leveraging Offline Data in Linear Latent Bandits—0
Linear Bandit Algorithms with Sublinear Time Complexity—0
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Movie Recommendation—0
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship—0
Modeling and Utilizing User's Internal State in Movie Recommendation Dialogue—0
MovieMat: Context-aware Movie Recommendation with Matrix Factorization by Matrix Fitting—0
Movie Recommendation System using Composite Ranking—0
Movie Recommendation using Web Crawling—0
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion—0
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation—0
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