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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 61–70 of 113 papers

TitleStatusHype
Provable Inductive Matrix Completion—0
RecMind: Japanese Movie Recommendation Dialogue with Seeker's Internal State—0
Sequential Item Recommendation in the MOBA Game Dota 2—0
Stability of Graph Neural Networks to Relative Perturbations—0
Streaming Submodular Maximization under a k-Set System Constraint—0
Submodular Maximization Through Barrier Functions—0
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints—0
Tell Me the Good Stuff: User Preferences in Movie Recommendation Explanations—0
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization—0
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors—0
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