Mining personal context-aware preferences for mobile users

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2012, Pages 1212-1217

  Zhu, Hengshu ^a,b   Chen, Enhong ^a   Yu, Kuifei ^b   Cao, Huanhuan ^b   Xiong, Hui ^c   Tian, Jilei ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b NOKIA RESEARCH CENTER   (United States)

^c RUTGERS UNIVERSITY   (United States)

Author keywords

Context aware recommendation; Mobile users; Personal context aware preferences

Indexed keywords

APPLICATION SCENARIO; CONTEXT DEPENDENT; CONTEXT INDEPENDENT; CONTEXT-AWARE; CONTEXT-AWARE RECOMMENDATIONS; CONTEXT-AWARE RECOMMENDER SYSTEMS; CRITICAL CHALLENGES; MOBILE USERS; REAL WORLD DATA; TWO APPROACHES;

DATA MINING; VIRTUAL REALITY;

GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS;

EID: 84874030599     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2012.31     Document Type: Conference Paper

References (16)

1. T. Bao, H. Cao, E. Chen, J. Tian, and H. Xiong. An unsupervised approach to modeling personalized contexts of mobile users. In ICDM'10, pages 38-47, 2010.
2. D. M. Blei, A. Y. Ng, and M. I. Jordan. Lantent dirichlet allocation. In Journal of Machine Learning Research, pages 993-1022, 2003.
3. H. Cao, T. Bao, Q. Yang, E. Chen, and J. Tian. An effective approach for mining mobile user habits. In CIKM'10, pages 1677-1680, 2010.
4. N. Eagle, A. Clauset, and J. A. Quinn. Location segmentation, inference and prediction for anticipatory computing. In AAAI Spring Symposium on Technosocial Predictive Analytics, 2009.
5. Y. Ge, Q. Liu, H. Xiong, A. Tuzhilin, and J. Chen. Cost-aware travel tour recommendation. In KDD'11, 2011.
6. T. L. Griffiths and M. Steyvers. Finding scientific topics. In Proceedings of National Academy of Science of the USA, pages 5228-5235, 2004.
7. G. Heinrich. Paramter stimaion for text analysis. Technical report, University of Lipzig, 2009.
8. K. jae Kim, H. Ahn, and S. Jeong. Context-aware recommender systems using data mining techniques. In Journal of World Academy of Science, Engineering and Technology, 64:357-362, 2010.
9. M. Kahng, S. Lee, and S.-g. Lee. Ranking in context-aware recommender systems. In WWW'11, pages 65-66, 2011.
10. A. Karatzoglou, X. Amatriain, L. Baltrunas, and N. Oliver. Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. In RecSys '10, pages 79-86, 2010.
11. D. Lee, S. Park, M. Kahng, S. Lee, and S.-g. Lee. Exploiting contextual information from event logs for personalized recommendation. In ICIS'10, pages 121-139, 2010.
12. Q. Liu, Y. Ge, Z. Li, E. Chen, and H. Xiong. Personalized travel package recommendation. In ICDM'11, 2011.
13. M. N. Schmidt. Linearly constrained bayesian matrix factorization for blind source separation. In NIPS'09, pages 1624- 1632. 2009.
14. M. N. Schmidt, O. Winther, and L. K. Hansen. Bayesian nonnegative matrix factorization. In International Conference on Independent Component Analysis and Signal Separation, pages 540-547, 2009.
15. K. Yu, B. Zhang, H. Zhu, H. Cao, and J. Tian. Towards personalized context-aware recommendation by mining context logs through topic models. In PAKDD'12, 2012.
16. V. W. Zheng, B. Cao, Y. Zheng, X. Xie, and Q. Yang. Collaborative filtering meets mobile recommendation: A usercentered approach. In AAAI'10, pages 236-241, 2010.