What is recorded here?
Generalized latent-factor collaborative filtering by learning user–item interaction functions with neural networks, including matrix-factorization and MLP-based components.
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Scientific scope
WWW2017April publication precedes August arxivdeposit. Inherits collaborative filtering/deep models; observed/unobserved interactions are noisy implicit feedback, not true like/dislike labels. Original comparisons are not universal superiority over well-tuned matrix factorization.
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People and systems
Xiangnan He; Lizi Liao; Hanwang Zhang; Liqiang Nie; Xia Hu; Tat-Seng Chua
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English catalogue narrative
Neural Collaborative Filtering: learned user–item interaction functions
Generalized latent-factor collaborative filtering by learning user–item interaction functions with neural networks, including matrix-factorization and MLP-based components.
Scientific scope
WWW2017April publication precedes August arxivdeposit. Inherits collaborative filtering/deep models; observed/unobserved interactions are noisy implicit feedback, not true like/dislike labels. Original comparisons are not universal superiority over well-tuned matrix factorization.
People and systems
Xiangnan He; Lizi Liao; Hanwang Zhang; Liqiang Nie; Xia Hu; Tat-Seng Chua