AutoFM: A hybrid collaborative filtering model with denoising autoencoders and factorization machine-Reference-Cited by-同舟云学术

AutoFM: A hybrid collaborative filtering model with denoising autoencoders and factorization machine

Published:2019-09-09 Issue:2 Volume:37 Page:3017-3025
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Yan Danfeng¹,Guo Zhengkai¹

Affiliation:

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference40 articles.

1. Newsweeder: Learning to filter net-news[M]//;Lang;Machine Learning Proceedings,1995

2. Connection Discovery using Shared Images by Gaussian Relational Topic Model. In International Conference on Big Data;Li;IEEE,2016

3. Learn-ing collaborative information filters.;Billsus;In Proceedings of the 15th International Conference on Machine Learning,1998

4. BPR: Bayesian personalized ranking from implicit feedback;Rendle;In Proceedings of the 25th Conference on Unce rtainty in Artifcial Intelligence. AUAI Press,2009

5. Probabilistic matrix factorization;Salakhutdinov;In Advances in Neural Information Processing Systems,2007

Cited by 3 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. Evaluation method of microwave communication based on $\text{GBDT}+ \text{LR}$ model;2022 3rd International Conference on Electronic Communication and Artificial Intelligence (IWECAI);2022-01

2. A hybrid user-based collaborative filtering algorithm with topic model;Applied Intelligence;2021-03-20

3. Multimedia system and database simulation based on internet of things and cloud service platform;Journal of Intelligent & Fuzzy Systems;2021-02-02