Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources-Reference-Cited by-同舟云学术

Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources

Author:

Deng Jiangzhou¹^ORCID,Ran Xun²,Wang Yong¹^ORCID,Zhang Leo Yu³^ORCID,Guo Junpeng⁴^ORCID

Affiliation:

1. Key Laboratory of Electronic Commerce and Logistics of Chongqing, Chongqing University of Posts and Telecommunications, Chongqing, China

2. Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, SAR

3. School of Information and Communication Technology, Griffith University, Southport, QLD, Australia

4. College of Management and Economics, Tianjin University, Tianjin, China

Funder

National Natural Science Foundation of China

Chinese Ministry of Education of Humanities and Social Science Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference37 articles.

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