Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2017, Article ID 1383891, 12 pages
https://doi.org/10.1155/2017/1383891
Research Article

SHMF: Interest Prediction Model with Social Hub Matrix Factorization

1Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
2University of Chinese Academy of Sciences, Beijing 100049, China
3Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230088, China
4University of Science and Technology of China, Hefei, Anhui 230031, China

Correspondence should be addressed to Shu Yan; nc.ca.mii@uhsnay

Received 24 January 2017; Accepted 5 June 2017; Published 22 August 2017

Academic Editor: Zonghua Zhang

Copyright © 2017 Chaoyuan Cui 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.

Linked References

  1. X. Tang, C. C. Yang, and M. Zhang, “Who will be participating next? Predicting the participation of dark web community,” in Proceedings of the ACM SIGKDD Workshop on Intelligence and Security Informatics 2012, ISI-KDD 2012, Beijing, china, August 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. R. Salakhutdinov and A. Mnih, “Probabilistic matrix factorization. In NIPS 2008, volume 20”.
  3. H. Ma, H. Yang, and M. R. Lyu, “Sorec: social recommendation using probabilistic matrix factorization,” in Proceedings of the 17th ACM Conference on Information and Knowledge Management (CIKM '08), pp. 931–940, Napa Valley, Calif, USA, October 2008. View at Publisher · View at Google Scholar
  4. M. Jamali and M. Ester, “A matrix factorization technique with trust propagation for recommendation in social networks,” in Proceedings of the 4th ACM Recommender Systems Conference (RecSys '10), pp. 135–142, Barcelona, Spain, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. H. Y. Zhang, L. W. Wang, and Y. X. Chen, “Research progress of probabilistic graphical models: a survey,” Journal of Software. Ruanjian Xuebao, vol. 24, no. 11, pp. 2476–2497, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  6. G.-F. Sun, L. Wu, Q. Liu, C. Zhu, and E.-H. Chen, “Recommendations based on collaborative filtering by exploiting sequential behaviors,” Ruan Jian Xue Bao/Journal of Software, vol. 24, no. 11, pp. 2721–2733, 2013. View at Publisher · View at Google Scholar · View at Scopus
  7. H. Bao, Q. Li, S. S. Liao, S. Song, and H. Gao, “A new temporal and social PMF-based method to predict users' interests in micro-blogging,” Decision Support Systems, vol. 55, no. 3, pp. 698–709, 2013. View at Publisher · View at Google Scholar · View at Scopus
  8. J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl, “Evaluating collaborative filtering recommender systems,” ACM Transactions on Information Systems, vol. 22, no. 1, pp. 5–53, 2004. View at Publisher · View at Google Scholar · View at Scopus
  9. P. Domingos and M. Richardson, “Mining the network value of customers,” in Proceedings of the the seventh ACM SIGKDD international conference, pp. 57–66, August 2001. View at Publisher · View at Google Scholar
  10. R. R. Sinha and K. Swearingen, “Comparing recommendations made by online systems and friends,” in DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries, 2001. View at Google Scholar
  11. J. L. Herlocker, J. A. Konstan, and J. Riedl, “Explaining collaborative filtering recommendations,” ACM Transactions on Information Systems, vol. 22, no. 1, pp. 5–53, 2001. View at Google Scholar · View at Scopus
  12. X. W. Meng, S. D. Liu, Y. J. Zhang, and X. Hu, “Research on social recommender systems,” Journal of Software. Ruanjian Xuebao, vol. 26, no. 6, pp. 1356–1372, 2015. View at Google Scholar · View at MathSciNet
  13. L. Guo, J. Ma, Z.-M. Chen, and H.-R. Jiang, “Incorporating item relations for social recommendation,” Jisuanji Xuebao/Chinese Journal of Computers, vol. 37, no. 1, pp. 219–228, 2014. View at Publisher · View at Google Scholar · View at Scopus