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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 26–50 of 113 papers

TitleStatusHype
Practical 0.385-Approximation for Submodular Maximization Subject to a Cardinality ConstraintCode0
Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems—0
Group Movie Selection using Multi-channel Emotion Recognition—0
RecMind: Japanese Movie Recommendation Dialogue with Seeker's Internal State—0
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems—0
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems—0
LFG: A Generative Network for Real-Time RecommendationCode0
Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis—0
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints—0
Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank—0
Obeying the Order: Introducing Ordered Transfer Hyperparameter OptimisationCode0
Fairness in Streaming Submodular Maximization over a Matroid ConstraintCode0
Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis—0
Multi-Task End-to-End Training Improves Conversational Recommendation—0
ExCalibR: Expected Calibration of Recommendations—0
BloombergGPT: A Large Language Model for FinanceCode0
Movie Recommendation System using Composite Ranking—0
The Informational Role of Online Recommendations: Evidence from a Field Experiment—0
Learning Stable Graph Neural Networks via Spectral Regularization—0
Attention-based Ingredient Phrase ParserCode0
Knowledge-aware attentional neural network for review-based movie recommendation with explanationsCode0
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation—0
Jointly Learning Propagating Features on the Knowledge Graph for Movie RecommendationCode0
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning—0
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship—0
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