Mining user access behavior on the WWW

Mei-Ling Shyu, Shu Ching Chen, Choochart Haruechaiyasak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Citations (Scopus)

Abstract

In this paper, an affinity-based approach that provides good similarity measures for Web document clustering to discover user access behavior on the World Wide Web (WWW) is proposed. The proposed approach generates the similarity measures for groups of Web documents by considering the user access patterns. Any clustering algorithm using better similarity measures should yield better clusters for discovering user access behavior. By utilizing the discovered user access behavior, for example, the companies can previsely target their potential customers and convince them to purchase their products or services in electronic commerce. An experiment on a real data set is conducted and the experimental result shows that the proposed approach yields a better performance than the Cosine coefficient and the Euclidean distance method under the partitioning around medoid (PAM) method.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Pages1717-1722
Number of pages6
Volume3
StatePublished - 2001
Event2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States
Duration: Oct 7 2001Oct 10 2001

Other

Other2001 IEEE International Conference on Systems, Man and Cybernetics
CountryUnited States
CityTucson, AZ
Period10/7/0110/10/01

Fingerprint

Electronic commerce
Clustering algorithms
World Wide Web
Industry
Experiments

Keywords

  • Affinity-based
  • Probabilistic model
  • User access behavior
  • Web document clustering

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Shyu, M-L., Chen, S. C., & Haruechaiyasak, C. (2001). Mining user access behavior on the WWW. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 3, pp. 1717-1722)

Mining user access behavior on the WWW. / Shyu, Mei-Ling; Chen, Shu Ching; Haruechaiyasak, Choochart.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 3 2001. p. 1717-1722.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Shyu, M-L, Chen, SC & Haruechaiyasak, C 2001, Mining user access behavior on the WWW. in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. vol. 3, pp. 1717-1722, 2001 IEEE International Conference on Systems, Man and Cybernetics, Tucson, AZ, United States, 10/7/01.
Shyu M-L, Chen SC, Haruechaiyasak C. Mining user access behavior on the WWW. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 3. 2001. p. 1717-1722
Shyu, Mei-Ling ; Chen, Shu Ching ; Haruechaiyasak, Choochart. / Mining user access behavior on the WWW. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 3 2001. pp. 1717-1722
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