· 2017
Neural Collaborative Filtering
- 6,667citations
- 2017year
Short summary
This paper introduces Neural Collaborative Filtering (NCF), a novel framework that leverages deep neural networks to address the core problem of collaborative filtering in recommender systems using implicit feedback.
AI-generated from the title and abstract; the full text is not read.
Key points
- Introduces Neural Collaborative Filtering (NCF) framework.
- Applies deep neural networks to collaborative filtering.
- Focuses on implicit feedback for recommendations.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source., 2017 · DOI ↗
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Field: Information Systems
Information SystemsComputer Science