Open Access
ITM Web Conf.
Volume 7, 2016
3rd Annual International Conference on Information Technology and Applications (ITA 2016)
Article Number 05006
Number of page(s) 4
Section Session 5: Algorithms and Simulation
Published online 21 November 2016
  1. Xia Peiyong, Ding Xiangqian, Research on Collaborative Filtering Algorithm of Personalized Recommendation Technology[d], Ocean University of China, 2011. [Google Scholar]
  2. Jin Di, Yang Bo, Liu Jie, Liu Dayou, He Dongxiao. Ant Colony Optimization Based on Random Walk for Community Detection in Complex Networks[J]. Journal of Software. 2012 [Google Scholar]
  3. Malcolm Benjamin Dias, Jan Jarman, Grocery shopping recommendations based on basket-sensitive random walk, 2016.4. [Google Scholar]
  4. He Jianjun, Li Renfa. Modified nodes ranking methods using random walk model. Computer Engineering and Applications, 2011, 47(12):87–89 [Google Scholar]
  5. Guo Lei, Ma jun, Chen Zhumin, Jiang Haoran. Incorporating Item Relations for Social Recommendation[J]. 2014, 37(1):219–226. [Google Scholar]
  6. Ma H, King I, Yum L, Learning to recommend with social trust ensemble//Proceeding of the 32nd Internationnal ACM SIGIR Conference on Reserch and Develoment in Information Retrieval. Boston, USA, 2009:203–210 [Google Scholar]
  7. Xiang Liang. Recommendation in Practice. Beijing: Postd & Telecom Press, 2012 (in Chinese). [Google Scholar]
  8. Gleiser PM, Danon L. Community structure in jazz. Advances in Complex Systems, 2003, 6(4):565–573. [doi: 10.1142/S0219525 903001067]. [CrossRef] [Google Scholar]
  9. Zachary WW. An information flow model for conflict and fission in small groups. Journal of Anthropological Research, 1977, 33(4):452–473. [CrossRef] [Google Scholar]
  10. Fortunato S, Barthélemy M. Resolution limit in community detection. Proceedings of National Academy of Science, 2007, 104(1): 36–41. [doi: 10.1073/pnas.0605965104] [CrossRef] [PubMed] [Google Scholar]
  11. Chen Dengke. Hybrid Lantent Vector Model-and Item-based Collaborative Filtering Recommendation[D], Zhejiang University.2010 [Google Scholar]
  12. Chen T, Tang L, Combining factorization model and additive forest for collaborative followee recommendation[J]. KDD CUP, 2012 hed) [Google Scholar]

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