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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 61–70 of 113 papers

TitleStatusHype
GHRS: Graph-based Hybrid Recommendation System with Application to Movie RecommendationCode1
Multi-Task End-to-End Training Improves Conversational Recommendation—0
Language Models as Recommender Systems: Evaluations and Limitations—0
Wide and Deep Graph Neural Network with Distributed Online Learning—0
You Sound Like Someone Who Watches Drama Movies: Towards Predicting Movie Preferences from Conversational InteractionsCode0
Thematic recommendations on knowledge graphs using multilayer networks—0
Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue SystemsCode1
Bias in Knowledge Graphs -- an Empirical Study with Movie Recommendation and Different Language Editions of DBpediaCode0
DEUX: An Attribute-Guided Framework for Sociable Recommendation Dialog Systems—0
The Power of Subsampling in Submodular Maximization—0
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