Neural Collaborative Filtering

Xiangnan He; Lizi Liao; Hanwang Zhang; Liqiang Nie; Xia Hu; Tat‐Seng Chua · OpenAlex · 2017

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Author / responsible party

Xiangnan He; Lizi Liao; Hanwang Zhang; Liqiang Nie; Xia Hu; Tat‐Seng Chua

Publisher

OpenAlex

Year

2017

Language

English

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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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APA 7

He, X, Liao, L, Zhang, H, Nie, L, Hu, X, & Chua, T. (2017). Neural Collaborative Filtering. OpenAlex. https://doi.org/10.1145/3038912.3052569

MLA

He, Xiangnan, et al. Neural Collaborative Filtering. OpenAlex, 2017. https://doi.org/10.1145/3038912.3052569.

Chicago

He, Xiangnan, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat‐Seng Chua. 2017. Neural Collaborative Filtering. OpenAlex. https://doi.org/10.1145/3038912.3052569.

Harvard

He, X. et al. 2017, Neural Collaborative Filtering, OpenAlex, available at: https://doi.org/10.1145/3038912.3052569 [Accessed 6 Aug. 2026].

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Resource details

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Title: Neural Collaborative Filtering

Author / contributors: Xiangnan He; Lizi Liao; Hanwang Zhang; Liqiang Nie; Xia Hu; Tat‐Seng Chua

Publisher: OpenAlex

Publication year: 2017

Language: English

Subjects

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Computer science; Collaborative filtering; Artificial neural network; Key (lock); Artificial intelligence; Recommender system; Scrutiny; Deep neural networks; Machine learning; Computer security; Political science; Law