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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 31–40 of 113 papers

TitleStatusHype
Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis—0
Multi-Task End-to-End Training Improves Conversational Recommendation—0
ExCalibR: Expected Calibration of Recommendations—0
BloombergGPT: A Large Language Model for FinanceCode0
Movie Recommendation System using Composite Ranking—0
The Informational Role of Online Recommendations: Evidence from a Field Experiment—0
Learning Stable Graph Neural Networks via Spectral Regularization—0
Attention-based Ingredient Phrase ParserCode0
Knowledge-aware attentional neural network for review-based movie recommendation with explanationsCode0
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation—0
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