Skip to main content

Application of a Modified Fuzzy ART Network to User Classification for Internet Content Provider

  • Conference paper
Advanced Web and Network Technologies, and Applications (APWeb 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3842))

Included in the following conference series:

  • 606 Accesses

Abstract

Internet has entered the age led by ICP (Internet Content Provider). Helping users to locate relevant information in an efficient manner is very important both to users and to ICP services. This paper presents a new approach that employs a modified fuzzy ART network to group users dynamically based on their Web access patterns. Such a user clustering method should be performed prior to ICPs as the basis to provide personalized service. The experimental results of this clustering technique show the promise of our system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Chen, C.H., Khoo, L.P.: Multicultural factors evaluation on elicited user requirements for product concept development. In: Proceedings of 16th Interneational Conference for Production Research (ICPR-16), July 29 - August 3, pp. 15–23 (2001)

    Google Scholar 

  2. Yan, W., Chen, C.H.: A radial basis function neural network multicultural factors evaluation engine for product concept development. Expert System 18(5), 219–232 (2001)

    Article  MATH  Google Scholar 

  3. Cotrell, M., Girard, B.: Forcasting of curves using a Kohonen classification. J. Forecast 17, 429–439 (1998)

    Article  Google Scholar 

  4. Curry, B., Davies, F.: The Kohonen self-organizing map: an application to the study of strategic groups in the UK hotel industry. Expert System 18(1), 19–30 (2002)

    Article  Google Scholar 

  5. Lee, S.C., Yung, H.S.: A cross-national market segmentation of online game industry using SOM. Expert Systems with Application 27, 559–570 (2004)

    Article  Google Scholar 

  6. Santos, K.R., Pboba, V.: Adaptive Neural Network Clustering of Web Users. Computer 4, 34–40 (2004)

    Google Scholar 

  7. Hu, T.L., Sheu, J.B.: A Fuzzy-based user classification method for demand-responsive logistical distribution operations. Fuzzy Sets and System 139, 431–450 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  8. Carpenter, G.A.: Fuzzy ART: fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks 4, 759–771 (1991)

    Article  Google Scholar 

  9. Cinque, L., Foresti, G.: A clustering fuzzy approach for image segmentation. Pattern Recognition 37, 1797–1807 (2004)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cao, Y., Zhu, Z., Wang, C. (2006). Application of a Modified Fuzzy ART Network to User Classification for Internet Content Provider. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds) Advanced Web and Network Technologies, and Applications. APWeb 2006. Lecture Notes in Computer Science, vol 3842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610496_98

Download citation

  • DOI: https://doi.org/10.1007/11610496_98

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31158-4

  • Online ISBN: 978-3-540-32435-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics