Towards adaptive Web sites: Conceptual framework and case study

Computer Networks

Volumn 31, Issue 11, 1999, Pages 1245-1258

  Perkowitz, Mike ^a   Etzioni, Oren ^a  

^a University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; INDEXING (OF INFORMATION); USER INTERFACES;

ADAPTIVE WEB SITES;

WORLD WIDE WEB;

EID: 0033295256     PISSN: 13891286     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1389-1286(99)00017-1     Document Type: Article

References (24)

1. R. Agrawal, T. Imielinski and A. Swami, Mining association rules between sets of items in large databases, in: Proc. SIGMOD '93, 1993, pp. 207-216.
2. R. Agrawal, H. Mannila, R. Srikant, H. Toivonen and A. Verkamo, Fast Discovery of Association Rules, MIT Press, Cambridge, MA, 1996, pp. 307-328.
3. R. Agrawal and R. Srikant, Fast algorithms for mining association rules, in: Proc. 20th VLDB Conference, 1994.
4. E. André, W. Graf, J. Müller, H.-J. Profitlich, T. Rist and W. Wahlster, AiA: adaptive communication assistant for effective infobahn access, Document, DFKI, Saarbrücken, 1996.
5. R. Armstrong, D. Freitag, T. Joachims and T. Mitchell, WebWatcher: a learning apprentice for the World Wide Web, in: Working Notes of the AAAI Spring Symposium: Information Gathering from Heterogeneous, Distributed Environments, Stanford University, AAAI Press, 1995, pp. 6-12.
6. M. Fernandez, D. Florescu, J. Kang, A. Levy and D. Suciu, System demonstration - Strudel: a Web-site management system, in: ACM SIGMOD Conf. on Management of Data, 1997.
7. J. Fink, A. Kobsa and A. Nill, User-oriented adaptivity and adaptability in the AVANTI project, in: Designing for the Web: Empirical Studies, Microsoft Usability Group, Redmond, WA, 1996.
8. A. Fox, S. Gribble, Y. Chawathe and E. Brewer, Adapting to network and client variation using infrastructural proxies: lessons and perspectives, IEEE Personal Communications 5(4) (1998) 10-19.
9. R. Khare and A. Rifkin, XML: a door to automated Web applications, IEEE Internet Computing 1(4) (1997) 78-87.
10. H. Lieberman, Letizia: an agent that assists Web browsing, in: Proc. 14th Int. Joint Conf. on Artificial Intelligence, 1995, pp. 924-929.
11. S. Luke, L. Spector, D. Rager and Hendler, Ontology-based Web agents, in: Proc. 1st Int. Conf. on Autonomous Agents, 1997.
12. T. Mitchell, Machine Learning, McGraw-Hill, New York, 1997.
13. M. Perkowitz and O. Etzioni, Adaptive Web sites: an AI challenge, in: Proc. 15th Int. Joint Conf. on Artificial Intelligence, 1997.
14. M. Perkowitz and O. Etzioni, Adaptive Web sites: automatically learning from user access patterns, in: Proc. 6th Int. World Wide Web Conference, Santa Clara, CA, 1997.
15. M. Perkowitz and O. Etzioni, Adaptive Web sites: automatically synthesizing Web pages, in: Proc. 15th Nat. Conf. on Artificial Intelligence, 1998.
16. E. Rasmussen, Clustering algorithms, in: W.B. Frakes and R. Baeza-Yates (Eds.), Information Retrieval, Prentice-Hall, Englewood Cliffs, NJ, 1992, pp. 419-442.
17. T. Rist, E. André and J. Müller, Adding animated presentation agents to the interface, in: Proc. 1997 Int. Conf. on Intelligent User Interfaces, Orlando, FL, 1997, pp. 79-86.
18. J. Rocchio, Document retrieval systems - optimization and evaluation, Ph.D. thesis, Harvard University, 1966.
19. A. Savasere, E. Omiecinski and S. Navathe, An efficient algorithm for mining association rules in large databases, in: Proc. 21st VLDB Conference, 1995.
20. R. Segal, Data mining as massive search, Ph.D. thesis, University of Washington, 1996, http://www.cs.washington.edu/homes/segal/brute.html.
21. H. Toivonen, Sampling large databases for association rules, in: Proc. 22nd VLDB Conference, 1996, pp. 134-145.
22. E.M. Voorhees, Implementing agglomerative hierarchical clustering algorithms for use in document retrieval, Information Processing and Management 22 (1986) 465-476.
23. A. Wexelblat and P. Maes, Footprints: History-rich Web browsing, in: Proc. Conf. on Computer-Assisted Information Retrieval (RIAO), 1997, pp. 75-84.
24. P. Willet, Recent trends in hierarchical document clustering: a critical review, Information Processing and Management 24 (1988) 577-97.