Welcome to Journal of University of Chinese Academy of Sciences,Today is

›› 2017, Vol. 34 ›› Issue (1): 112-118.DOI: 10.7523/j.issn.2095-6134.2017.01.015

Previous Articles     Next Articles

An improved recommendation algorithm for mobile health care system

ZHOU Yan, LEI Shiyao, ZHANG Can   

  1. School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2016-04-28 Revised:2016-05-18 Online:2017-01-15

Abstract:

As an important method for information searching and filtering, the mobile health care system has successfully improved service efficiency of existing medical resources. To enhance accuracy and effect of the information recommendation, a new recommendation algorithm based on multi-bipartite network is proposed. Evaluation criteria of users are enriched as "interested", "uninterested", and "unknown". Moreover, a genre layer is appended so that the information confidence propagates on a new multi-bipartite network iteratively. Finally, we prove that multi-bipartite network iterative algorithm enhances service effect of mobile health care system.

Key words: mobile health care system, multi-bipartite network, recommendation algorithm

CLC Number: