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Mathematical Problems in Engineering
Volume 2016, Article ID 9535808, 10 pages
http://dx.doi.org/10.1155/2016/9535808
Research Article

A Probability-Based Hybrid User Model for Recommendation System

1School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
2Beijing Institute of Astronautic System Engineering, Beijing 310027, China

Received 13 July 2015; Revised 16 December 2015; Accepted 20 December 2015

Academic Editor: Matteo Gaeta

Copyright © 2016 Jia Hao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Nian Yang, Guoxin Wang, Jia Hao, Yan Yan, and Hairong Han, “A GMM-Based User Model for Knowledge Recommendation,” 2017 3rd IEEE International Conference on Cybernetics (CYBCONF), pp. 1–5, . View at Publisher · View at Google Scholar
  • Fuli Zhang, “A Personalized Time-Sequence-Based Book Recommendation Algorithm for Digital Libraries,” IEEE Access, vol. 4, pp. 2714–2720, 2016. View at Publisher · View at Google Scholar