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Movie Recommendation
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Evaluates the ability of language models to propose relevant movie recommendations with collaborative filtering data.
Source: BIG-bench
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Movie Recommendation
Tell Me the Good Stuff: User Preferences in Movie Recommendation Explanations
Multi-Selection for Recommendation Systems
Movie Recommendation using Web Crawling
Contextual Bandits with Arm Request Costs and Delays
Large Language Models as Narrative-Driven Recommenders
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors
Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation
Attention Overflow: Language Model Input Blur during Long-Context Missing Items Recommendation
Transforming Movie Recommendations with Advanced Machine Learning: A Study of NMF, SVD,and K-Means Clustering
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion
CherryRec: Enhancing News Recommendation Quality via LLM-driven Framework
Harm Mitigation in Recommender Systems under User Preference Dynamics
Large Language Models as Recommender Systems: A Study of Popularity Bias
Leveraging Offline Data in Linear Latent Bandits
Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint
Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems
Group Movie Selection using Multi-channel Emotion Recognition
RecMind: Japanese Movie Recommendation Dialogue with Seeker's Internal State
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems
LFG: A Generative Network for Real-Time Recommendation
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
On Generative Agents in Recommendation
Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints
Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation
Fairness in Streaming Submodular Maximization over a Matroid Constraint
Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis
Multi-Task End-to-End Training Improves Conversational Recommendation
ExCalibR: Expected Calibration of Recommendations
BloombergGPT: A Large Language Model for Finance
Movie Recommendation System using Composite Ranking
The Informational Role of Online Recommendations: Evidence from a Field Experiment
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