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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
Streaming Submodular Maximization under a k-Set System Constraint—0
Submodular Maximization Through Barrier Functions—0
Submodular Maximization under the Intersection of Matroid and Knapsack Constraints—0
Jointly Learning Propagating Features on the Knowledge Graph for Movie RecommendationCode0
Knowledge-aware attentional neural network for review-based movie recommendation with explanationsCode0
No-Regret Learning in Unknown Games with Correlated PayoffsCode0
Obeying the Order: Introducing Ordered Transfer Hyperparameter OptimisationCode0
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