Abstract

In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural networks on recommender systems has received relatively less scrutiny. In this work, we strive to develop techniques based on neural networks to tackle the key problem in recommendation --- collaborative filtering --- on the basis of implicit feedback.

Keywords

Computer scienceCollaborative filteringArtificial neural networkKey (lock)Artificial intelligenceRecommender systemScrutinyDeep neural networksMachine learningComputer security

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Publication Info

Year
2017
Type
preprint
Pages
173-182
Citations
6183
Access
Closed

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Xiangnan He, Lizi Liao, Hanwang Zhang et al. (2017). Neural Collaborative Filtering. , 173-182. https://doi.org/10.1145/3038912.3052569

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DOI
10.1145/3038912.3052569