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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
MovieMat: Context-aware Movie Recommendation with Matrix Factorization by Matrix Fitting—0
Movie Recommendation System using Composite Ranking—0
Movie Recommendation using Web Crawling—0
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion—0
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation—0
Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems—0
Multi-Selection for Recommendation Systems—0
Multi-Task End-to-End Training Improves Conversational Recommendation—0
Multi-Task End-to-End Training Improves Conversational Recommendation—0
Natural Language Processing via LDA Topic Model in Recommendation Systems—0
Online Categorical Subspace Learning for Sketching Big Data with Misses—0
On the Bias-Variance Characteristics of LIME and SHAP in High Sparsity Movie Recommendation Explanation Tasks—0
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning—0
Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis—0
Provable Inductive Matrix Completion—0
User Profile Feature-Based Approach to Address the Cold Start Problem in Collaborative Filtering for Personalized Movie Recommendation—0
Sequential Item Recommendation in the MOBA Game Dota 2—0
Stability of Graph Neural Networks to Relative Perturbations—0
Harm Mitigation in Recommender Systems under User Preference DynamicsCode0
Streaming Submodular Maximization under a k-Set System ConstraintCode0
Fairness in Streaming Submodular Maximization over a Matroid ConstraintCode0
Attention-based Ingredient Phrase ParserCode0
Online SuBmodular + SuPermodular (BP) Maximization with Bandit FeedbackCode0
MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender SystemsCode0
Jointly Learning Propagating Features on the Knowledge Graph for Movie RecommendationCode0
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