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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 51–60 of 113 papers

TitleStatusHype
Movie Recommendation System using Composite Ranking—0
Movie Recommendation using Web Crawling—0
Movie Recommendation with Poster Attention via Multi-modal Transformer Feature Fusion—0
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation—0
Multi-channel Emotion Analysis for Consensus Reaching in Group Movie Recommendation Systems—0
Multi-Selection for Recommendation Systems—0
Multi-Task End-to-End Training Improves Conversational Recommendation—0
Multi-Task End-to-End Training Improves Conversational Recommendation—0
Natural Language Processing via LDA Topic Model in Recommendation Systems—0
Online Categorical Subspace Learning for Sketching Big Data with Misses—0
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