preprintApr 3, 2017GOLD OA

Neural Collaborative Filtering

National University of Singapore · Columbia University · +2 more institutions

Indexed incrossref

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.

Citation impact

6,552
total citations
FWCI
798.41
Percentile
100%
References
53
Citations per year

Authors

6

Topics & keywords

Keywords
  • Computer science
  • Collaborative filtering
  • Artificial neural network
  • Key (lock)
  • Artificial intelligence
  • Recommender system
  • Scrutiny
  • Deep neural networks
UN Sustainable Development Goals
  • Quality Education
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