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Personalised Organisation of Dynamic e-Catalogs

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Web Services, E-Business, and the Semantic Web (WES 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2512))

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Abstract

Research into personalisation issues in product catalogs has mainly been focused on recommender systems and the needs for building adaptive catalogs have been largely ignored. Catalogs are designed by system designers who have a priori expectations for how catalogs will be explored by users. It is necessary to consider how users are using catalogs since they may have different expectations. WebCatalog Pers proposed a design and an implementation of a system through which integrated product catalogs are continuously adapted and restructured within a dynamic environment. The adaptation of integrated catalogs is based on the observation of customers’ interaction patterns. In this paper, we extend the idea further by introducing the notion of liked minded people, where the same design principle of WebCatalog Pers is applied to a group of people who share similar interests.

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References

  1. Amazon.Com Inc. http://www.amazon.com.

  2. C. C. Aggarwal and P. S. Yu. Data Mining Techniques for Personalization. Bulletin of the Technical Committee on Data Engineering, 23(1), March 2000.

    Google Scholar 

  3. M. Balabanovic and Y. Shoham. Fab: Content-Based, Collaborative Recommendation. Communications of the ACM, 40(3), March 1997.

    Google Scholar 

  4. B. Benatallah, M. Dumas, Q. Z. Sheng, and A. H.H. Ngu. Declarative Composition and Peer-to-Peer Provisioning of Dynamic Web Services. In Proc. of the International Conference on Data Engineering, San Jose, USA, February 2002.

    Google Scholar 

  5. K. Garvie Brown. Content Personalisation Overview, December 1999. http://www.comnet.ca/gbrown/personalisation/persintro.htm.

  6. S. Ceri, P. Fraternali, and S. Paraboschi. Data-Driven One-to-One Web Site Generation for Data Intensive Applications. In Proc. of the 25th VLDB Conference (VLDB’99), Edinburgh, Scotland, 1999.

    Google Scholar 

  7. J. AHartigan. Clustering Algorithms. WILEY Publication, 1975.

    Google Scholar 

  8. S. Hollfelder, V. Oria, and M. Tamer Özsu. Mining User Behavior for Resource Prediction in Interactive Electronic Malls. In Proc. of IEEE Int. Conf. on Multimedia and Expo (ICME), pages 863–866, New York, July 2000.

    Google Scholar 

  9. T. Kamdar and A. Joshi. On Creating Adaptive Web Servers Using Weblog Mining. Technical Report TR-CS-00-05, Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, November 2000.

    Google Scholar 

  10. J. A. Konstan, B. N. Miller, and D. Maltz. GroupLens: Applying Collaborative Filtering to Usenet News. Communications of the ACM, 40(3), March 1997.

    Google Scholar 

  11. D. Mladenic. Text-Learning and Related Intelligent Agents:A Survey. IEEE Intelligent Systems, 14(4):44–54, July/August 1999.

    Google Scholar 

  12. B. Mobasher, R. Cooley, and J. Srivastava. Automatic Personalization Based on Web Usage Mining. Communications of the ACM, 43(8), August 2000.

    Google Scholar 

  13. H. Paik, B. Benatallah, and R. Hamadi. Usage-Centric Adaptation of Dynamic E-Catalogs. In Proc. of 14th International Conference on Advanced Information Systems Engineering, Toronto, Canada, May 2002.

    Google Scholar 

  14. M. Perkowitz and O. Etzioni. Adaptive Web Sites. Communications of the ACM, 43(8), August 2000.

    Google Scholar 

  15. J. Rucker and M. J. Polanco. Siteseer: Personalized Navigation for the Web. Communications of the ACM, 40(3), March 1997.

    Google Scholar 

  16. BEA Systems. BEA WebLogic Commerce and Personalisation Server, 2001. http://www.bea.com/products/weblogic/commerce/index.shtml.

  17. K. Wu, C. C. Aggarwal, and P. S. Yu. Personalization with Dynamic Profiler. Technical Report IBM Research Report, IBM Research Division, Thomas J. Watson Research Center, Yorktown Heights, New York, 2001.

    Google Scholar 

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© 2002 Springer-Verlag Berlin Heidelberg

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Paik, H.y., Benatallah, B. (2002). Personalised Organisation of Dynamic e-Catalogs. In: Bussler, C., Hull, R., McIlraith, S., Orlowska, M.E., Pernici, B., Yang, J. (eds) Web Services, E-Business, and the Semantic Web. WES 2002. Lecture Notes in Computer Science, vol 2512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36189-8_11

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  • DOI: https://doi.org/10.1007/3-540-36189-8_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00198-0

  • Online ISBN: 978-3-540-36189-3

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