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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
DEUX: An Attribute-Guided Framework for Sociable Recommendation Dialog Systems—0
The Power of Subsampling in Submodular Maximization—0
Linear Bandit Algorithms with Sublinear Time Complexity—0
Modeling and Utilizing User's Internal State in Movie Recommendation Dialogue—0
Graph and graphon neural network stability—0
Fairness in Streaming Submodular Maximization: Algorithms and Hardness—0
Submodular Maximization in Clean Linear Time—0
I know why you like this movie: Interpretable Efficient Multimodal Recommender—0
Thompson Sampling for Combinatorial Semi-bandits with Sleeping Arms and Long-Term Fairness Constraints—0
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies—0
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