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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
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of ExplanationsCode1
Training Compute-Optimal Large Language ModelsCode6
Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation—0
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation—0
Using Partial Monotonicity in Submodular Maximization—0
Sequential Item Recommendation in the MOBA Game Dota 2—0
Comprehensive Movie Recommendation System—0
Transferability Properties of Graph Neural Networks—0
Scaling Language Models: Methods, Analysis & Insights from Training GopherCode2
Learning Data Teaching Strategies Via Knowledge Tracing—0
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