Zhang, Yin
Chen, Min
Huang, Dijiang
Wu, Di
Li, Yong
Funding for this research was provided by:
China National Natural Science Foundation (61572220)
National Natural Science Foundation of China (61272397, 61572538)
Guangdong Natural Science Funds for Distinguished Young Scholar (S20120011187)
This article is maintained by: Elsevier
Article Title: iDoctor: Personalized and professionalized medical recommendations based on hybrid matrix factorization
Journal Title: Future Generation Computer Systems
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.future.2015.12.001
Content Type: article
Copyright: © 2016 Elsevier B.V. All rights reserved.