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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 51–100 of 113 papers

TitleStatusHype
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text—0
Transforming Movie Recommendations with Advanced Machine Learning: A Study of NMF, SVD,and K-Means Clustering—0
Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank—0
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems—0
Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation—0
Using Partial Monotonicity in Submodular Maximization—0
Using Shortlists to Support Decision Making and Improve Recommender System Performance—0
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation—0
Wide and Deep Graph Neural Network with Distributed Online Learning—0
I know why you like this movie: Interpretable Efficient Multimodal Recommender—0
Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation—0
Interactive Submodular Bandit—0
Language Models as Recommender Systems: Evaluations and Limitations—0
Large Language Models as Narrative-Driven Recommenders—0
Large Language Models as Recommender Systems: A Study of Popularity Bias—0
Learning Data Teaching Strategies Via Knowledge Tracing—0
Learning From Missing Data Using Selection Bias in Movie Recommendation—0
Learning Stable Graph Neural Networks via Spectral Regularization—0
Leveraging Long and Short-term Information in Content-aware Movie Recommendation—0
Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training—0
Leveraging Offline Data in Linear Latent Bandits—0
Linear Bandit Algorithms with Sublinear Time Complexity—0
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Movie Recommendation—0
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship—0
Modeling and Utilizing User's Internal State in Movie Recommendation Dialogue—0
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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