Recommendation algorithm based on user score probability and project type-Reference-Cited by-同舟云学术

Recommendation algorithm based on user score probability and project type

Published:2019-03-29 Issue:1 Volume:2019 Page:
ISSN:1687-1499
Container-title:EURASIP Journal on Wireless Communications and Networking
language:en
Short-container-title:J Wireless Com Network

Author:

Wu Chunxue,Wu Jing^ORCID,Luo Chong,Wu Qunhui,Liu Cong,Wu Yan,Yang Fan

Funder

the National Key Research and Development Program of China

Shanghai Science and Technology Innovation Action Plan Project

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Link

http://link.springer.com/content/pdf/10.1186/s13638-019-1385-5.pdf

Reference50 articles.

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4. J. Xiao, M. Luo, J.M. Chen, J.J. Li, in Advanced Intelligent Computing Theories and Applications. ICIC 2015. Lecture Notes in Computer Science, ed. by D. S. Huang, K. Han. An Item Based Collaborative Filtering System Combined with Genetic Algorithms Using Rating Behavior, vol 9227 (Springer, Cham, 2015), pp. 453–460

5. L. Shijia, Research and application of collaborative filtering algorithm based on coupling similarity (Zhejiang University, Hangzhou, 2016)

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