Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis-Reference-Cited by-同舟云学术

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Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis

Published:2024-04 Issue:4 Volume:54 Page:2213-2226
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Luo Xin¹^ORCID,Chen Jiufang²,Yuan Ye¹^ORCID,Wang Zidong³^ORCID

Affiliation:

1. College of Computer and Information Science, Southwest University, Chongqing, China

2. School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

3. Department of Information Systems and Computing, Brunel University, Uxbridge, U.K.

Funder

National Natural Science Foundation of China

Chongqing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221021/10474542/10380219.pdf?arnumber=10380219

Reference80 articles.

1. Personalized Context-Aware Point of Interest Recommendation

2. User Participation in Collaborative Filtering-Based Recommendation Systems: A Game Theoretic Approach

3. Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection

4. On Structural Features, User Social Behavior, and Kinship Discrimination in Communication Social Networks

5. Magnitude Bounded Matrix Factorisation for Recommender Systems

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