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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
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 HardnessCode0
INSPIRED: Toward Sociable Recommendation Dialog SystemsCode1
The Adapter-Bot: All-In-One Controllable Conversational ModelCode1
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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