A Recommender System Based on Model Regularization Wasserstein Generative Adversarial Network-Reference-Cited by-同舟云学术

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A Recommender System Based on Model Regularization Wasserstein Generative Adversarial Network

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Wang Qingxian¹,Huang Qing¹,Ma Kangkang¹,Zhang Xuerui²

Affiliation:

1. University of Electronic Science and Technology of China,School of Information and Software Engineering,Chengdu,China,610054

2. Chinese Academy of Sciences,Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology,Chongqing,China,400714

Funder

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9658572/9658575/09659011.pdf?arnumber=9659011

Reference28 articles.

1. Deep Learning Based Recommender System

2. Neural network matrix factorization;dziugaite;CoRR,2015

3. Neural Collaborative Filtering

4. DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction

5. A review on generative adversarial networks: algorithms, theory, and applications;gui;CoRR,2020

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applications of generative adversarial networks in materials science;Materials Genome Engineering Advances;2024-03

2. Creating synthetic datasets for collaborative filtering recommender systems using generative adversarial networks;Knowledge-Based Systems;2023-11

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