Putting Enhanced Hypermedia Personalization into Practice via Web Mining

  • Eugenio Cesario
  • Francesco Folino
  • Riccardo Ortale
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3180)


We present a novel personalization engine that provides individualized access to Web contents/services by means of data mining techniques. It associates adaptive content delivery and navigation support with form filling, a functionality that catches the typical interaction of a user with a Web service, in order to automatically fill in its form fields at successive accesses from that visitor. Our proposal was developed within the framework of the ITB@NK system to the purpose of effectively improving users’ Web experience in the context of Internet Banking. This study focuses on its software architecture and formally investigates the underlying personalization process.


Data Mining Technique Internet Banking Navigation Support Personalization Module Session Cluster 
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  1. 1.
    Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proc. of Int. Conf. on Very Large Data Bases, pp. 487–499 (1994)Google Scholar
  2. 2.
    Brusilovsky, P.: Adaptive hypermedia. User Modeling and User Adapted Interaction 11(1-2), 87–100 (2001)zbMATHCrossRefGoogle Scholar
  3. 3.
    Cadez, I.V., Gaffney, S., Smyth, P.: A general probabilistic framework for clustering individuals and objects. In: Proc. of the ACM-SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, pp. 140–149 (2000)Google Scholar
  4. 4.
    Ceri, S., Fraternali, P., Bongio, A., Brambilla, M., Comai, S., Matera, M.: Designing Data-Intensive Web Applications. Morgan Kaufmann, San Francisco (2002)Google Scholar
  5. 5.
    Chakrabarti, S.: Mining the Web Discovering Knowledge from Hypertext Data. Morgan Kaufmann, San Francisco (2003)Google Scholar
  6. 6.
    Cooley, R., Mobasher, B., Srivastava, J.: Data preparation for mining world wide web browsing patterns. Knowledge and Information Systems 1(1), 5–32 (1999)Google Scholar
  7. 7.
    Mobasher, B., et al.: Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization. Data Mining and Knowledge Discovery 6(1), 61–82 (2002)CrossRefMathSciNetGoogle Scholar
  8. 8.
    Pierrakos, D., et al.: Web usage mining as a tool for personalization: A survey. User Modeling and User-Adapted Interaction 13(4), 311–372 (2003)CrossRefGoogle Scholar
  9. 9.
    Herlocker, J., Konstan, J., Borchers, A., Riedl, J.: An Algorithmic Framework for Performing Collaborative Filtering. In: Proc. of Conf. on Research and Development in Information Retrieval (1999)Google Scholar
  10. 10.
    Huang, Z.: Extensions to the k-means algorithm for clustering large data sets with categorical values. Data Mining and Knowledge Discovery 2(3), 283–304 (1998)CrossRefGoogle Scholar
  11. 11.
    Lieberman, H.: Letizia: An Agent that Assists Web Browsing. In: Proc. of Int. Joint Conf. on Artificial Intelligence (IJCAI 1995), pp. 924–929 (1995)Google Scholar
  12. 12.
    Manber, U., Patel, A., Robison, J.: Experience with personalization on Yahoo! Communications of the ACM 43(8), 35–39 (2000)CrossRefGoogle Scholar
  13. 13.
    Manco, G., Ortale, R., Saccà, D.: Similarity-based clustering of web transactions. In: Proc. of ACM Symposium on Applied Computing, pp. 1212–1216 (2003)Google Scholar
  14. 14.
    Vlachakis, J., Eirinaki, M., Anand, S.S.: IKUM: An Integrated Web Personalization Platform Based on Content Structures and User Behaviour. In: Proc. of the IJCAI 2003 Workshop on Intelligent Techniques for Web Personalization (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Eugenio Cesario
    • 1
  • Francesco Folino
    • 1
  • Riccardo Ortale
    • 1
  1. 1.DEISUniversity of CalabriaRendeItaly

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