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Volumn , Issue , 2008, Pages 41-50

Query-sets: Using implicit feedback and query patterns to organize web documents

Author keywords

Feature selection; Labeling; Search engine queries; Usage mining; Web page organization

Indexed keywords

COMPUTER SOFTWARE; FEATURE EXTRACTION; FLOW OF SOLIDS; INFORMATION RETRIEVAL; INTERNET; LABELING; SEARCH ENGINES; TELECOMMUNICATION NETWORKS; WEBSITES;

EID: 57349102877     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1367497.1367504     Document Type: Conference Paper
Times cited : (57)

References (36)
  • 3
    • 7444254086 scopus 로고    scopus 로고
    • Query clustering for boosting web page ranking
    • J. Favela, E. M. Ruiz, and E. Chávez, editors, AWIC, of, Springer
    • R. A. Baeza-Yates, C. A. Hurtado, and M. Mendoza. Query clustering for boosting web page ranking. In J. Favela, E. M. Ruiz, and E. Chávez, editors, AWIC, volume 3034 of Lecture Notes in Computer Science, pages 164-175. Springer, 2004.
    • (2004) Lecture Notes in Computer Science , vol.3034 , pp. 164-175
    • Baeza-Yates, R.A.1    Hurtado, C.A.2    Mendoza, M.3
  • 4
    • 35348859539 scopus 로고    scopus 로고
    • Improving search engines by query clustering
    • October
    • R. A. Baeza-Yates, C. A. Hurtado, and M. Mendoza. Improving search engines by query clustering. JASIST, 58(12): 1793-1804, October 2007.
    • (2007) JASIST , vol.58 , Issue.12 , pp. 1793-1804
    • Baeza-Yates, R.A.1    Hurtado, C.A.2    Mendoza, M.3
  • 5
    • 77049114779 scopus 로고    scopus 로고
    • A website mining model centered on user queries
    • M. Ackermann, B. Berendt, M. Grobelnik, A. Hotho, D. Mladenic, G. Semeraro, M. Spiliopoulou, G. Stumme, V. Svátek, and M. van Someren, editors, EWMF/KDO, of, Springer
    • R. A. Baeza-Yates and B. Poblete. A website mining model centered on user queries. In M. Ackermann, B. Berendt, M. Grobelnik, A. Hotho, D. Mladenic, G. Semeraro, M. Spiliopoulou, G. Stumme, V. Svátek, and M. van Someren, editors, EWMF/KDO, volume 4289 of Lecture Notes in Computer Science, pages 1-17. Springer, 2005.
    • (2005) Lecture Notes in Computer Science , vol.4289 , pp. 1-17
    • Baeza-Yates, R.A.1    Poblete, B.2
  • 6
    • 57349139028 scopus 로고    scopus 로고
    • D. Beeferman and A. Berger. Agglomerative clustering of a search engine query log. In KDD, 1999. Boston, MA USA.
    • D. Beeferman and A. Berger. Agglomerative clustering of a search engine query log. In KDD, 1999. Boston, MA USA.
  • 8
    • 0034164919 scopus 로고    scopus 로고
    • Analysis of navigation behaviour in web sites integrating multiple information systems
    • B. Berendt and M. Spiliopoulou. Analysis of navigation behaviour in web sites integrating multiple information systems. In VLDB Journal, Vol. 9, No. 1, pages 56-75, 2000.
    • (2000) VLDB Journal , vol.9 , Issue.1 , pp. 56-75
    • Berendt, B.1    Spiliopoulou, M.2
  • 9
    • 34249850335 scopus 로고    scopus 로고
    • Hotminer: Discovering hot topics from dirty text
    • M. W. Berry, editor, Springer-Verlag New York, Inc, Secaucus. NJ, USA
    • M. Castellanos. Hotminer: Discovering hot topics from dirty text. In M. W. Berry, editor, Survey of Text Mining. Springer-Verlag New York, Inc., Secaucus. NJ, USA, 2003.
    • (2003) Survey of Text Mining
    • Castellanos, M.1
  • 11
    • 12844273680 scopus 로고    scopus 로고
    • Websift: The web site information filter system
    • San Diego, CA. Springer- Verlag, in press
    • R. Cooley, P. Tan, and J. Srivastava. Websift: the web site information filter system. In KDD Workshop on Web Mining, San Diego, CA. Springer- Verlag, in press, 1999.
    • (1999) KDD Workshop on Web Mining
    • Cooley, R.1    Tan, P.2    Srivastava, J.3
  • 12
    • 84937580790 scopus 로고    scopus 로고
    • Discovery of interesting usage patterns from web data
    • R. Cooley, P.-N. Tan, and J. Srivastava. Discovery of interesting usage patterns from web data. In WEBKDD, pages 163-182, 1999.
    • (1999) WEBKDD , pp. 163-182
    • Cooley, R.1    Tan, P.-N.2    Srivastava, J.3
  • 15
    • 84957693645 scopus 로고    scopus 로고
    • Exploiting structural information for text classification on the www
    • J. Fürnkranz. Exploiting structural information for text classification on the www. Intelligent Data Analysts, pages 487-498, 1999.
    • (1999) Intelligent Data Analysts , pp. 487-498
    • Fürnkranz, J.1
  • 18
    • 0038163983 scopus 로고    scopus 로고
    • CLUTO a clustering toolkit
    • Technical Report 02-017, Dept. of Computer Science, University of Minnesota, Available at
    • G. Karypis. CLUTO a clustering toolkit. Technical Report 02-017, Dept. of Computer Science, University of Minnesota, 2002. Available at http://www.cs.umn.edu/̃cluto.
    • (2002)
    • Karypis, G.1
  • 19
    • 0348127760 scopus 로고    scopus 로고
    • Using data mining techniques on web access logs to dynamically improve hypertext structure
    • F. Masseglia, P. Poncelet, and M. Teisseire. Using data mining techniques on web access logs to dynamically improve hypertext structure. ACM SigWeb Letters vol. 8. num. 3, pages 1-19, 1999.
    • (1999) ACM SigWeb Letters , vol.8 , Issue.3 , pp. 1-19
    • Masseglia, F.1    Poncelet, P.2    Teisseire, M.3
  • 20
    • 0006544679 scopus 로고    scopus 로고
    • Automatic personalization based on web usage mining
    • B. Mobasher, R. Cooley, and J. Srivastava. Automatic personalization based on web usage mining. Commun. ACM, 43(8): 142-151, 2000.
    • (2000) Commun. ACM , vol.43 , Issue.8 , pp. 142-151
    • Mobasher, B.1    Cooley, R.2    Srivastava, J.3
  • 21
    • 84880691887 scopus 로고    scopus 로고
    • Adaptive web sites: An AI challenge
    • M. Perkowitz and O. Etzioni. Adaptive web sites: an AI challenge. In IJCAI (1), pages 16-23, 1997.
    • (1997) IJCAI , vol.1 , pp. 16-23
    • Perkowitz, M.1    Etzioni, O.2
  • 23
    • 33745193242 scopus 로고    scopus 로고
    • Set-based vector model: An efficient approach for correlation-based ranking
    • B. Pôssas, N. Ziviani, J. Wagner Meira, and B. Ribeiro-Neto. Set-based vector model: An efficient approach for correlation-based ranking. ACM Trans. Inf. Syst., 23(4):397-429, 2005.
    • (2005) ACM Trans. Inf. Syst , vol.23 , Issue.4 , pp. 397-429
    • Pôssas, B.1    Ziviani, N.2    Wagner Meira, J.3    Ribeiro-Neto, B.4
  • 26
    • 0016572913 scopus 로고
    • A vector space model for automatic indexing
    • G. Salton, A. Wong, and C. S. Yang. A vector space model for automatic indexing. Commun. ACM, 18(ll):613-620, 1975.
    • (1975) Commun. ACM , vol.18 , Issue.LL , pp. 613-620
    • Salton, G.1    Wong, A.2    Yang, C.S.3
  • 27
    • 47349084243 scopus 로고    scopus 로고
    • Lpminer: An algorithm for finding frequent itemsets using length-decreasing support constraint
    • IEEE Computer Society
    • M. Seno and G. Karypis. Lpminer: An algorithm for finding frequent itemsets using length-decreasing support constraint. In Proceedings of the 2001 IEEE International Conference on Data Mining, pages 505-512. IEEE Computer Society, 2001.
    • (2001) Proceedings of the 2001 IEEE International Conference on Data Mining , pp. 505-512
    • Seno, M.1    Karypis, G.2
  • 30
    • 0000008126 scopus 로고    scopus 로고
    • Web usage mining for web site evaluation
    • M. Spiliopoulou. Web usage mining for web site evaluation. Commun. ACM, 43(8): 127-134, 2000.
    • (2000) Commun. ACM , vol.43 , Issue.8 , pp. 127-134
    • Spiliopoulou, M.1
  • 31
    • 0002000090 scopus 로고    scopus 로고
    • Web usage mining: Discovery and applications of usage patterns from web data
    • J. Srivastava, R. Cooley, M. Deshpande, and P.-N. Tan. Web usage mining: Discovery and applications of usage patterns from web data. SIGKDD Explorations, l(2):12-23, 2000.
    • (2000) SIGKDD Explorations , vol.50 , Issue.2 , pp. 12-23
    • Srivastava, J.1    Cooley, R.2    Deshpande, M.3    Tan, P.-N.4
  • 34
    • 57349154417 scopus 로고    scopus 로고
    • Document clustering using compound words
    • Y. Wang and J. E. Hodges. Document clustering using compound words. In IC-A1, pages 307-313, 2005.
    • (2005) IC-A1 , pp. 307-313
    • Wang, Y.1    Hodges, J.E.2
  • 36
    • 12344280878 scopus 로고    scopus 로고
    • Pagecluster: Mining conceptual link hierarchies from web log files for adaptive web site navigation
    • 185-208
    • J. Zhu, J. Hong, and J. G. Hughes. Pagecluster: Mining conceptual link hierarchies from web log files for adaptive web site navigation. ACM Trans. Inter. Tech., 4(2):185-208, 2004.
    • (2004) ACM Trans. Inter. Tech , vol.4 , Issue.2
    • Zhu, J.1    Hong, J.2    Hughes, J.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.