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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 91–100 of 113 papers

TitleStatusHype
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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