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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 101–110 of 113 papers

TitleStatusHype
A case study of Empirical Bayes in User-Movie Recommendation system—0
Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation—0
Could you guess an interesting movie from the posters?: An evaluation of vision-based features on movie poster database—0
Greed is Good: Near-Optimal Submodular Maximization via Greedy Optimization—0
Fast Distributed Submodular Cover: Public-Private Data Summarization—0
Online Categorical Subspace Learning for Sketching Big Data with Misses—0
Collaborative Filtering with Recurrent Neural NetworksCode0
Exponential Family Embeddings—0
A Survey of Point-of-interest Recommendation in Location-based Social Networks—0
Collaborative filtering via sparse Markov random fields—0
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