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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

Showing 101113 of 113 papers

TitleStatusHype
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
Ducho meets Elliot: Large-scale Benchmarks for Multimodal RecommendationCode0
Movie Recommendation System using Sentiment Analysis from Microblogging DataCode0
BloombergGPT: A Large Language Model for FinanceCode0
A Hybrid Variational Autoencoder for Collaborative FilteringCode0
Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpediaCode0
Collaborative Filtering with Recurrent Neural NetworksCode0
You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational InteractionsCode0
LFG: A Generative Network for Real-Time RecommendationCode0
Practical 0.385-Approximation for Submodular Maximization Subject to a Cardinality ConstraintCode0
Fairness in Streaming Submodular Maximization: Algorithms and HardnessCode0
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