Improving Incremental Nonnegative Matrix Factorization Method for Recommendations Based on Three-Way Decision Making-Reference-Cited by-同舟云学术

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Improving Incremental Nonnegative Matrix Factorization Method for Recommendations Based on Three-Way Decision Making

Published:2021-06-29 Issue: Volume: Page:
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Zhang Xiaoxia^ORCID,Chen Lu,Wang Ye,Wang Guoyin

Funder

the State Key Program of National Nature Science Foundation of China

the National Key R & D Program of China

National Nature Science Foundation of China

Natural Science Foundation of Chongqing

the Science and Technology Research Program of Chongqing Education Commission of China

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s12559-021-09897-8.pdf

Reference35 articles.

1. He Y, Wang C, Jiang C. Correlated matrix factorization for recommendation with implicit feedback. IEEE Trans Knowl Data Eng. 2019;31:451-C464.

2. Lee DD, Seung HS. Learning the parts of objects by non-negative matrix factorization. Nature. 1999;401(6755):788–791.

3. He M, Zhang J, Yang P, Yao K. Robust transfer learning for cross-domain collaborative filtering using multiple rating patterns approximation. In: the Eleventh ACM International Conference. 2018:225–33.

4. Luo X, Zhou MC, Xia YN, Zhu Q. An efficient non-negative matrix-factorization-based approach to collaborative filtering for recommender systems. IEEE Trans Industr Inform. 2014;10(2):1273–84.

5. Sun J, Wang Z, Li H, Sun F. Incremental nonnegative matrix factorization with sparseness constraint for image representation. Advances in Multidedia Information Processing. 2018:351–60.

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1. S2NMF: Information Self-Enhancement Self-Supervised Nonnegative Matrix Factorization for Recommendation;Wireless Communications and Mobile Computing;2022-08-30

2. A heuristic concept construction approach to collaborative recommendation;International Journal of Approximate Reasoning;2022-07

3. Knowledge Discovery in a Recommender System: The Matrix Factorization Approach;Journal of Information & Knowledge Management;2022-06-22

4. Dynamic three-way neighborhood decision model for multi-dimensional variation of incomplete hybrid data;Information Sciences;2022-06

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