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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
Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation—0
Interactive Submodular Bandit—0
Language Models as Recommender Systems: Evaluations and Limitations—0
Large Language Models as Narrative-Driven Recommenders—0
Large Language Models as Recommender Systems: A Study of Popularity Bias—0
Learning Data Teaching Strategies Via Knowledge Tracing—0
Learning From Missing Data Using Selection Bias in Movie Recommendation—0
Learning Stable Graph Neural Networks via Spectral Regularization—0
Leveraging Long and Short-term Information in Content-aware Movie Recommendation—0
Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training—0
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