An α–β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences-Reference-Cited by-同舟云学术

An α–β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences

Published:2022-08 Issue:8 Volume:52 Page:8006-8018
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Shang Mingsheng¹^ORCID,Yuan Ye¹^ORCID,Luo Xin¹^ORCID,Zhou MengChu²^ORCID

Affiliation:

1. Chongqing Engineering Research Center of Big Data Application for Smart Cities, Chongqing Key Laboratory of Big Data and Intelligent Computing, and the Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China

2. Institute of Systems Engineering and Collaborative Laboratory for Intelligent Science and Systems, Macau University of Science and Technology, Macau, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Pioneer Hundred Talents Program of Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/9833007/09357412.pdf?arnumber=9357412

Reference77 articles.

1. Comprehensive Learning Particle Swarm Optimization Algorithm With Local Search for Multimodal Functions

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3. Composite Particle Swarm Optimizer With Historical Memory for Function Optimization

4. Facial Expression Analysis under Partial Occlusion

5. Dual-Objective Scheduling of Rescue Vehicles to Distinguish Forest Fires via Differential Evolution and Particle Swarm Optimization Combined Algorithm

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