Log mining to improve the performance of site search

WISE 2002 - Proceedings of the 3rd International Conference on Web Information Systems Engineering Workshops

Volumn , Issue , 2002, Pages 238-245

  Xue, Gui Rong ^a   Zeng, Hua Jun ^b   Chen, Zheng ^b   Ma, Wei Ying ^b   Lu, Chao Jun ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; INFORMATION SYSTEMS; SEARCH ENGINES; SYSTEMS ENGINEERING; TECHNICAL PRESENTATIONS; WEBSITES; WORLD WIDE WEB;

ACCESS PATTERNS; GENERAL PATTERNS; GENERALIZED ASSOCIATION RULES; GLOBAL SEARCH ENGINE; KEYWORD-BASED METHODS; LINK STRUCTURE; MINING ALGORITHMS; RE-RANKING;

BEHAVIORAL RESEARCH;

EID: 84966963787     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WISEW.2002.1177868     Document Type: Conference Paper

References (26)

1. C.H Yun and M.S. Chen, "Mining Web Transaction Patterns in an Electronic Commerce Environment", in Proceedings of the 4th Pacific-Asia Conf. on Knowledge Discovery and Data Mining, April 2000.
2. D. Hawking, E. Voorhees, P. Bailey, and N. Craswell, "Overview of TREC-8 Web Track", In Proceedings of TREC-8, pp. 131-150, Gaithersburg MD, November 1999.
3. DirectHit: http://www.directhit.com.
4. H. Mannila, H. Toivonen, and A. I. Verkamo, "Discovery of frequent episodes in event sequences", Data Mining and Knowledge Discovery, 1(3): 259-289, November 1997.
5. J. Han, Jian Pei, and Yiwen Yin, "Mining Frequent Patterns without Candidate Generation", ACM SIGMOD Intl. Conference on Management of Data, 2000.
6. th ACM-SIAM Symposium on Discrete Algorithm, 1998.
7. J. Pei, J. Han, B. Mortazavi-Asl, and H. Zhu, "Mining Access Pattern efficiently from web logs", in Proceedings of 2000 Pacific-Asia Conf. on Knowledge Discovery and Data Mining, April 2000.
8. M. Chen, J. Park, and P. S. Yu, "Efficient Data Mining for Path Traversal Patterns", IEEE Trans. on Knowledge and Data Engineering, Vol. 10, No. 2, pp. 209-221, April 1998.
9. M. Hearst, "Next Generation Web Search: Setting Our Sites", IEEE Data Engineering Bulletin, Special issue on Next Generation Web Search, Luis Gravano(Ed.), September 2000.
10. M. Spiliopoulou and C. Pohle, "Data mining for measuring and improving the success of Web sites", Data Mining and Knowledge Discovery, 5:85-14, 2001.
11. M. Spiliopoulou, C. Pohle, and L. Faulstich, "Improving the effectiveness of a Web site with Web usage mining", In Advances in Web Usage Analysis and User Profiling, Berlin, Springer, pp. 142-162, 2000.
12. M.Chen, M.Hearst, J. Hong, and J.Lin, "Cha-Cha: A System for Organizing Intranet Search Results", In Proceedings of the 2nd USITS, Boulder, CO, October 1999.
13. th International WWW Conference, 2001.
14. P. Hagen, H. Manning, and Y. Paul, "Must search stink? The Forrester report", Forrester, June 2000.
15. Q. Yang, H. Hanning Zhang, and I.Tianyi Li, "Mining Web Logs for Prediction Models in WWW Caching and Prefetching", In The Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD'01, Industry Applications Track, August 2001.
16. R. Agrawal and R. Srikant, "Fast Algorithms for Mining Association Rules", in Proceedings of the 20th Int'l Conference on VLDB, Santiago, Chile, September 1994.
17. R. Agrawal, T. Imielinski, and A. Swami, "Mining Associations between Sets of Items in Massive Databases", in Proceedings of the ACM-SIGMOD 1993 Int'l Conference on Management of Data, Washington D.C., May 1993.
18. R. Baeza-Yates and B.Ribeiro-Neto, Modern Information Retrieval, Addison-Wesley, 1999.
19. R. Cooley, B. Mobasher, and J. Srivastava, "Data Preparation for Mining World Wide Web Browsing Patterns", Knowledge and Information Systems V1(1), 1999.
20. R. Cooley, P. Ning Tan, and J. Srivastava, "Discovery of Interesting Usage Patterns from Web Data", To appear in Springer-Verlag LNCS/LNAI series, 2000.
21. R. Kosala and H. Blockeel, "Web Mining Research: A Survey", ACM SIGKDD, July 2000.
22. R. Srikant and R. Agrawal, "Mining Generalized Association Rules", in Proceedings of the 21st Int'l Conference on Very Large Databases, Zurich, Switzerland, September 1995.
23. th International WWW Conference, 1998.
24. T. Cover and J. Thomas, "Elements of Information Theory", John Wiley & Sons, 1991.
25. W. Lin, S. Alvarez, and C. Ruiz, "Efficient Adaptive-Support Association Rule Mining for Recommender Systems", Data Mining and Knowledge Discovery, 6, pp. 83-105, 2002.
26. Z. Albrecht and A. Nicholson, "Predicting users' requests on the WWW", in J Kay (ed), CISM Courses and Lectures No. 407, International Centre for Mechanical Sciences, Proceedings of the Seventh International Conference on User Modeling, Banff, Canada, June 1999.