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Volumn , Issue , 2012, Pages 231-240

A habit mining approach for discovering similar mobile users

Author keywords

Discover similar users; Habit mining; Mobile users

Indexed keywords

BEHAVIOR PATTERNS; COLLABORATIVE FILTERING; CONSTRAINT-BASED; CONTEXT DATA; DISCOVER SIMILAR USERS; LOCATION BASED; MARKET ANALYSIS; MATRIX FACTORIZATIONS; MOBILE USERS; REAL DATA SETS; USER CONTEXT; USER HABIT; USER INTERACTION; USER SEGMENTATION;

EID: 84860844739     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2187836.2187868     Document Type: Conference Paper
Times cited : (54)

References (27)
  • 5
    • 65449160200 scopus 로고    scopus 로고
    • Context-aware query suggestion by mining click-through and session data
    • H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen, and H. Li. Context-aware query suggestion by mining click-through and session data. In KDD, pages 875-883, 2008.
    • (2008) KDD , pp. 875-883
    • Cao, H.1    Jiang, D.2    Pei, J.3    He, Q.4    Liao, Z.5    Chen, E.6    Li, H.7
  • 7
    • 35348914807 scopus 로고    scopus 로고
    • Google news personalization: Scalable online collaborative filtering
    • A. Das, M. Datar, A. Garg, and S. Rajaram. Google news personalization: scalable online collaborative filtering. In WWW, pages 271-280, 2007.
    • (2007) WWW , pp. 271-280
    • Das, A.1    Datar, M.2    Garg, A.3    Rajaram, S.4
  • 8
    • 2442449952 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation: A frequent-pattern tree approach
    • J. Han, J. Pei, Y. Yin, and R. Mao. Mining frequent patterns without candidate generation: A frequent-pattern tree approach. Data Min. Knowl. Discov., 8(1):53-87, 2004.
    • (2004) Data Min. Knowl. Discov. , vol.8 , Issue.1 , pp. 53-87
    • Han, J.1    Pei, J.2    Yin, Y.3    Mao, R.4
  • 9
    • 77956614850 scopus 로고    scopus 로고
    • Semantic user profiling techniques for personalised multimedia recommendation
    • F. Hopfgartner and J. M. Jose. Semantic user profiling techniques for personalised multimedia recommendation. Multimedia Syst., 16(4-5):255-274, 2010.
    • (2010) Multimedia Syst. , vol.16 , Issue.4-5 , pp. 255-274
    • Hopfgartner, F.1    Jose, J.M.2
  • 10
    • 0033645041 scopus 로고    scopus 로고
    • Ir evaluation methods for retrieving highly relevant documents
    • K. J̈arvelin and J. Kek̈al̈ainen. Ir evaluation methods for retrieving highly relevant documents. In SIGIR, pages 41-48, 2000.
    • (2000) SIGIR , pp. 41-48
    • J̈arvelin, K.1    Kek̈al̈ainen, J.2
  • 11
    • 78649941975 scopus 로고    scopus 로고
    • Multiverse recommendation: N-dimensional tensor factorization for context-aware collaborative filtering
    • A. Karatzoglou, X. Amatriain, L. Baltrunas, and N. Oliver. Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. In RecSys, pages 79-86, 2010.
    • (2010) RecSys , pp. 79-86
    • Karatzoglou, A.1    Amatriain, X.2    Baltrunas, L.3    Oliver, N.4
  • 12
    • 84985258723 scopus 로고
    • Demographic similarity to the work group: A longitudinal study of managers at the early career stage
    • C. Kirchmeyer. Demographic similarity to the work group: A longitudinal study of managers at the early career stage. Journal of Organizational Behavior, 16(1):67-83, 1995.
    • (1995) Journal of Organizational Behavior , vol.16 , Issue.1 , pp. 67-83
    • Kirchmeyer, C.1
  • 13
    • 35048828965 scopus 로고    scopus 로고
    • Adaptive on-device location recognition
    • K. Laasonen, M. Raento, and H. Toivonen. Adaptive on-device location recognition. In Pervasive, volume 3001, pages 287-304, 2004.
    • (2004) Pervasive , vol.3001 , pp. 287-304
    • Laasonen, K.1    Raento, M.2    Toivonen, H.3
  • 14
    • 70449715854 scopus 로고    scopus 로고
    • Mining user similarity based on location history
    • Q. Li, Y. Zheng, X. Xie, Y. Chen, W. Liu, and W.-Y. Ma. Mining user similarity based on location history. In GIS, page 34, 2008.
    • (2008) GIS , pp. 34
    • Li, Q.1    Zheng, Y.2    Xie, X.3    Chen, Y.4    Liu, W.5    Ma, W.-Y.6
  • 15
    • 70349786992 scopus 로고    scopus 로고
    • Mining cluster-based mobile sequential patterns in location-based service environments
    • E. H.-C. Lu and V. S. Tseng. Mining cluster-based mobile sequential patterns in location-based service environments. In Mobile Data Management, pages 273-278, 2009.
    • (2009) Mobile Data Management , pp. 273-278
    • Lu, E.H.-C.1    Tseng, V.S.2
  • 16
    • 0036117227 scopus 로고    scopus 로고
    • Discovery and evaluation of aggregate usage profiles for web personalization
    • B. Mobasher, H. Dai, T. Luo, and M. Nakagawa. Discovery and evaluation of aggregate usage profiles for web personalization. Data Mining and Knowledge Discovery, 6:61-82, 2002.
    • (2002) Data Mining and Knowledge Discovery , vol.6 , pp. 61-82
    • Mobasher, B.1    Dai, H.2    Luo, T.3    Nakagawa, M.4
  • 17
    • 81855214546 scopus 로고    scopus 로고
    • Linearly constrained bayesian matrix factorization for blind source separation
    • Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors
    • M. Schmidt. Linearly constrained bayesian matrix factorization for blind source separation. In Y. Bengio, D. Schuurmans, J. Lafferty, C. K. I. Williams, and A. Culotta, editors, Advances in Neural Information Processing Systems 22, pages 1624-1632. 2009.
    • (2009) Advances in Neural Information Processing Systems , vol.22 , pp. 1624-1632
    • Schmidt, M.1
  • 18
    • 0037661150 scopus 로고    scopus 로고
    • An efficient method for mining associated service patterns in mobile web environments
    • S.-M. Tseng and C.-F. Tsui. An efficient method for mining associated service patterns in mobile web environments. In SAC, pages 455-459, 2003.
    • (2003) SAC , pp. 455-459
    • Tseng, S.-M.1    Tsui, C.-F.2
  • 19
    • 10044233078 scopus 로고    scopus 로고
    • Mining multilevel and location-aware service patterns in mobile web environments
    • S.-M. Tseng and C.-F. Tsui. Mining multilevel and location-aware service patterns in mobile web environments. IEEE Transactions on Systems, Man, and Cybernetics, Part B, 34(6):2480-2485, 2004.
    • (2004) IEEE Transactions on Systems, Man, and Cybernetics , vol.34 , Issue.6 PART B , pp. 2480-2485
    • Tseng, S.-M.1    Tsui, C.-F.2
  • 20
    • 33646530068 scopus 로고    scopus 로고
    • Efficient mining and prediction of user behavior patterns in mobile web systems
    • V. S. Tseng and K. W. Lin. Efficient mining and prediction of user behavior patterns in mobile web systems. Information and Software Technology, 48(6):357-369, 2006.
    • (2006) Information and Software Technology , vol.48 , Issue.6 , pp. 357-369
    • Tseng, V.S.1    Lin, K.W.2
  • 22
    • 78650620310 scopus 로고    scopus 로고
    • Finding similar users using category-based location history
    • X. Xiao, Y. Zheng, Q. Luo, and X. Xie. Finding similar users using category-based location history. In GIS, pages 442-445, 2010.
    • (2010) GIS , pp. 442-445
    • Xiao, X.1    Zheng, Y.2    Luo, Q.3    Xie, X.4
  • 23
    • 76649109554 scopus 로고    scopus 로고
    • Discovering significant places from mobile phones - A mass market solution
    • G. Yang. Discovering significant places from mobile phones - a mass market solution. In MELT, pages 34-49, 2009.
    • (2009) MELT , pp. 34-49
    • Yang, G.1
  • 25
    • 85078067524 scopus 로고    scopus 로고
    • Collaborative filtering meets mobile recommendation: A user-centered approach
    • V. W. Zheng, B. Cao, Y. Zheng, X. Xie, and Q. Yang. Collaborative filtering meets mobile recommendation: A user-centered approach. In AAAI, 2010.
    • (2010) AAAI
    • Zheng, V.W.1    Cao, B.2    Zheng, Y.3    Xie, X.4    Yang, Q.5
  • 26
    • 78650617680 scopus 로고    scopus 로고
    • Recommending friends and locations based on individual location history
    • Y. Zheng, L. Zhang, Z. Ma, X. Xie, and W.-Y. Ma. Recommending friends and locations based on individual location history. TWEB, 5(1):5, 2011.
    • (2011) TWEB , vol.5 , Issue.1 , pp. 5
    • Zheng, Y.1    Zhang, L.2    Ma, Z.3    Xie, X.4    Ma, W.-Y.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.