Automatic Support for Improving Interaction with a Web Site

published in Studia Universitatis Babeş-Bolyai, Seria Informatica, Vol. XLV, No. 2, pp. 95-103, 2000.

Cite as

A. Campan, D. Bufnea, "Automatic Support for Improving Interaction with a Web Site", Studia Universitatis Babeş-Bolyai, Seria Informatica, Vol. XLV, No. 2, pp. 95-103, 2000.

1	A. Campan, D. Bufnea, "Automatic Support for Improving Interaction with a Web Site", Studia Universitatis Babeş-Bolyai, Seria Informatica, Vol. XLV, No. 2, pp. 95-103, 2000.

Full paper

Automatic Support for Improving Interaction with a Web Site

Authors

Alina Campan, Darius Bufnea
Department of Computer Science, Faculty of Mathematics and Computer Science,
Babeş-Bolyai University of Cluj-Napoca

Abstract

In this paper we describe a method to make a Web site easier navigable by its users. In the same time, this method provides support for the Webmaster to raise the quality of the site with minimal effort. These goals are achieved by automatic creation of orientation Web pages. The new adds-on to the site are generated by exploiting the data accumulated in Web server access logs, being thereby a feedback to the users’ “footprint”. Web mining techniques are used in order to extract the meaningful information from log data.

BibTeX bib file

campan-bufnea-2000.bib

@article{campan2000automatic,
  title={Automatic Support for Improving Interaction with a Web Site},
  author={Campan, Alina and Bufnea, Darius},
  journal={Studia Universitatis Babe{\c{s}}-Bolyai, Informatica},
  volume={45},
  number={2},
  pages={95--103},
  year={2000}
}

@article{campan2000automatic,

title={Automatic Support for Improving Interaction with a Web Site},

author={Campan, Alina and Bufnea, Darius},

journal={Studia Universitatis Babe{\c{s}}-Bolyai, Informatica},

volume={45},

number={2},

pages={95--103},

year={2000}

}

EndNote enw file

campan-bufnea-2000.enw

Referecnes

Agrawal R., Srikant R., Fast Algorithms for Mining Association Rules, Proc. of the 20th VLDB Conference, pp. 487-499, Santiago, Chile, 1994.
Chen M.-S., Park J. S., Yu P.S., Data Mining for Path Traversal Patterns in a Web Environment, Proc. of the 16th International Conference on Distributed Computing Systems, pp. 385-392, 1996.
Cooley R., Mobasher B., Srivastava J., Grouping Web Page References into Transactions for Mining World Wide Web Browsing Patterns, Knowledge and Data Engineering Workshop, pp. 2-9, Newport Beach, CA, 1997.
Park J. S., Chen M.-S., Yu P.S., An Effective Hash-Based Algorithm for Mining Association Rules, Proc. 1995 ACM-SIGMOD, pp. 175-186, 1995.
Perkowitz M., Etzioni O., Adaptive Web sites: Automatically Synthesizing Web Pages, 15^th National Conference on Artificial Inteligence, 1998.
Perkowitz M., Etzioni O., Towards adaptive Web sites: Conceptual framework and case study, Artificial Intelligence 118 (2000), pp. 245-275, 2000.
Perkowitz M., Adaptive Web Sites: Cluster Mining and Conceptual Clustering for Index Page Synthesis, Ph.D Dissertation, 2001.
Pitkow J., In search of reliable usage data on the www, Proc of the Sixth International World Wide Web Conference, pp. 451-463, Santa Clara, CA, 1997.