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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 76–100 of 113 papers

TitleStatusHype
Fairness in Streaming Submodular Maximization: Algorithms and HardnessCode0
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
Submodular Maximization Through Barrier Functions—0
Streaming Submodular Maximization under a k-Set System ConstraintCode0
Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training—0
Streaming Submodular Maximization under a k-Set System Constraint—0
Stability of Graph Neural Networks to Relative Perturbations—0
Natural Language Processing via LDA Topic Model in Recommendation Systems—0
No-Regret Learning in Unknown Games with Correlated PayoffsCode0
A Deep, Forgetful Novelty-Seeking Movie Recommender Model—0
User Profile Feature-Based Approach to Address the Cold Start Problem in Collaborative Filtering for Personalized Movie Recommendation—0
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization—0
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
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors—0
Interactive Submodular Bandit—0
Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms: A Case with Bounded Regret—0
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