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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 91–100 of 113 papers

TitleStatusHype
MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender SystemsCode0
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text—0
Movie Recommendation System using Sentiment Analysis from Microblogging DataCode0
A Fairness-aware Hybrid Recommender System—0
A novel Empirical Bayes with Reversible Jump Markov Chain in User-Movie Recommendation system—0
A Hybrid Variational Autoencoder for Collaborative FilteringCode0
Leveraging Long and Short-term Information in Content-aware Movie Recommendation—0
Interactive Submodular Bandit—0
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors—0
Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret—0
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