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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 21–30 of 113 papers

TitleStatusHype
Jointly Learning Propagating Features on the Knowledge Graph for Movie RecommendationCode0
Knowledge-aware attentional neural network for review-based movie recommendation with explanationsCode0
Movie Recommendation System using Sentiment Analysis from Microblogging DataCode0
No-Regret Learning in Unknown Games with Correlated PayoffsCode0
Harm Mitigation in Recommender Systems under User Preference DynamicsCode0
BloombergGPT: A Large Language Model for FinanceCode0
Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpediaCode0
Fairness in Streaming Submodular Maximization: Algorithms and HardnessCode0
MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender SystemsCode0
ExCalibR: Expected Calibration of Recommendations—0
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