USER MODELLING SERVER FOR MOBILE AND ELECTRONIC SHOPPING

Anastasios Savvopoulos, Maria Virvou

2009

Abstract

Recommending applications are used by many researchers as the main means of achieving personalization. However, the difficulty is to apply the same recommender and personalization techniques to a totally different system that belongs to a different domain and uses a different medium. Furthermore the difficulty level rises when we want to apply the previous recommendation techniques without changing major components or process attributes. In this paper we propose a server that can be used to achieve personalization to a product recommending system. The main advantage of this server is that works both for e-commerce and mobile commerce. We present a case study that we incorporated the user modelling server, which is a mobile e-shop, and discuss within the case the obstacles and breakthroughs we have achieved. The case study clearly shows that the same user modelling server can enhance e-shop application behaviour towards adaptivity and customer personalization.

References

  1. Ardissono L, Torasso P., 2000. Dynamic User Modeling in a Web Store Shell. In Proceedings of the 14th Conference ECAI. Berlin, Germany, 621-625.
  2. Cayzer S., Aickelin U, 2002. A Recommender System based on the Immune Network. In Proceedings of the Congress on Evolutionary Computation
  3. Morrison T., Aickelin U, 2002. An Artifcial Immune System as a Recommender for Web Sites. In Proceedings of the 1st Conference on ARtifcial Immune Systems (ICARIS-2002). Canter-bury UK. 161-169
  4. Maybury M., Greiff W., Boykin S., Ponte J, Mchenry C., Ferro L, 2004. Personalcasting: Tailored Broadcast News. Journal of User Modeling and User-Adapted Interaction vol. 14, Kluwer Academic Publishers, Netherlands 119-144.
  5. Goren-Bar D, Glinansky O, 2004. FIT-recommending TV programs to family members. Journal of Computer and Graphics vol. 28, 149-156.
  6. O' Sullivan D., Smyth B., Wilson D. C., Mcdonald K., Smeaton A, 2004. Improving the Quality of the Personalized Electronic Program Guide. Journal of User Modeling and User-Adapted Interaction vol. 14, Kluwer Academic Publishers, 5-36.
  7. Virvou M, Savvopoulos A, Sotiropoulos D. N, Tsihrintzis G. A, 2007. Constructing Stereotypes for an Adaptive e-Shop using AIN-based Clustering, Lecture Notes In Computer Science, ICANNGA 2007, 11-14
  8. Pessemier T.D., Deryckere T., Vanhecke K., Martens L., 2008. Proposed Architecture and Algorithm for Personalized Advertising on iDTV and Mobile Devices, In Journal of IEEE Transactions on Consumer Electronics.
  9. Aragao V.R., Fernandes A.A., Carole A. 2001. Goble, Towards An Architecture For Personalization And Adaptivity In The Semanticweb. In Int. Conf. on Information Integration and Web-based Applications & Services, Linz, Austria, Sept.
  10. Li Q., Kim B.M., 2004. Constructing User Profiles For Collaborative Recommender System, Lecture Notes in Computer Science, Springer-Verlag, pp 100-110.
  11. Alspector J., Kolcz A., Karunanithi N., 1997. FeatureBased And Clique-Based User Models For Movie Selection: A Comparative Study. User Modeling and User-Adapted Interaction 7, 4 (Apr. 1997), 279-304.
  12. Sotiropoulos D.N., Tsihrintzis G.A., Savvopoulos A., Virvou M., 2006. A Comparision of Customer Data Clustering Techniques in an e-Shopping Application, Adaptive Hypermedia and Adaptive Web-Based Systems, June 20 - 23, 2006
  13. Rich E., 1979. User Modeling via Stereotypes, Journal of Cognitive Science, Vol. 3, 329-354
  14. Brusilovsky, P., 2001. Adaptive Hypermedia, User Modeling and User-Adapted Interaction 11. Kluwer Academic Publishers 87-110
  15. Chin, D. N. 2001. Empirical Evaluation of User Models and User-Adapted Systems. User Modeling and UserAdapted Interaction 11, 1-2 (Mar. 2001), 181-194.
  16. Kobsa A: Generic User Modeling Systems. User Model. User-Adapt. Interact. 11(1-2): 49-63 (2001)
  17. Kay J., Kummerfeld B., Lauder, P. 2002. Personis: A Server for User Models. In Proceedings of the Second international Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (May 29 - 31, 2002). Lecture Notes In Computer Science, vol. 2347. Springer-Verlag, London, 203-212.
  18. Billsus, D., Brunk, C. A., Evans, C., Gladish, B., and Pazzani, M. 2002. Adaptive interfaces for ubiquitous web access. Commun. ACM 45, 5 (May. 2002), 34-38.
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Paper Citation


in Harvard Style

Savvopoulos A. and Virvou M. (2009). USER MODELLING SERVER FOR MOBILE AND ELECTRONIC SHOPPING . In Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-674-010-8, pages 297-302. DOI: 10.5220/0002243202970302


in Bibtex Style

@conference{icsoft09,
author={Anastasios Savvopoulos and Maria Virvou},
title={USER MODELLING SERVER FOR MOBILE AND ELECTRONIC SHOPPING},
booktitle={Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2009},
pages={297-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002243202970302},
isbn={978-989-674-010-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - USER MODELLING SERVER FOR MOBILE AND ELECTRONIC SHOPPING
SN - 978-989-674-010-8
AU - Savvopoulos A.
AU - Virvou M.
PY - 2009
SP - 297
EP - 302
DO - 10.5220/0002243202970302