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Neural Collaborative Filtering

  • arXiv (Cornell University)
  • Cornell University
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Paper overview

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.

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Publication details

DOI
10.1145/3038912.3052569
OpenAlex
W2605350416
Document type
conference-paper
Language
EN
Source
arXiv (Cornell University)
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