A FRAMEWORK FOR DELIVERING PERSONALIZED E-GOVERNMENT TOURISM SERVICES

Malak Al-hassan, Helen Lu, Jie Lu

Abstract

E-government (e-Gov) has become one of the most important parts of government strategies. Significant efforts have been devoted to e-Gov tourism services in many countries because tourism is one of the major profitable industries. However, the current e-Gov tourism services are limited to simple online presentation of tourism information. Intelligent e-Gov tourism services, such as the personalized e-Gov (Pe-Gov) tourism services, are highly desirable for helping users decide ”where to go, and what to do/see” amongst massive number of destinations and enormous attractiveness and activities. This paper proposes a framework of Pe-Gov tourism services using recommender system techniques and semantic ontology. This framework has the potential to enable tourism information seekers to locate the most interesting destinations with the most suitable activities with the least search efforts. Its workflow and some outstanding features are depicted with an example.

References

  1. Adomavicius, G. and Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Tran. on Know. and Data Eng., 17(6):734-749.
  2. Al-Hassan, M., Lu, H., and Lu, J. (2009). A framework for delivering personalized e-government services from a citizen-centric approach. In Proceed. of the 11th Inter. Conf. on Inf. Integration and Web-based Applications and Services.
  3. Berka, T. and Plnig, M. (2004). Designing recommender systems for tourism. In Proceedings of ENTER.
  4. Ehrig, M., Haase, P., Stojanovic, N., and Hefke, M. (2005). Similarity for ontologies-a comprehensive framework. In 13th European Conf. on Inf. Systems.
  5. Eirinaki, M. and Vazirgiannis, M. (2003). Web mining for web personalization. ACM Transactions on Internet Technology (TOIT), 3(1):1-27.
  6. Fesenmaier, D. (2006). Introduction: Recommendation systems in tourism. In Fesenmaier, D., Wober, K., and Werthner, H., editors, Destination Recommendation Systems: Behavioral Foundations and Applications.
  7. Huang, Y. and Bian, L. (2009). A bayesian network and analytic hierarchy process based personalized recommendations for tourist attractions over the internet. Expert Systems with Applications, 36(1):933-943.
  8. Markellou, P., Mousourouli, I., Sirmakessis, S., and Tsakalidis, A. (2005). Personalized e-commerce recommendations. In Proceedings of the 2005 IEEE Inter. Conf. on e-Business Engineering, pages 245-252. IEEE Computer Society.
  9. Millard, J., Havliek, J., Ticha, I., and Hron, J. (2004). Strategies for the future egovernment. In The Inter. Conf. Agrarian Perspectives XII. CAB Abstracts.
  10. Noy, N. and McGuinness, D. (2001). Ontology development 101: A guide to creating your first ontology. Technical report, Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report.
  11. Pieterson, W., Ebbers, W., and Dijk, J. (2007). Personalization in the public sector: An inventory of organizational and user obstacles towards personalization of e-services in the public sector. Government Information Quarterly, 24(1):148-164.
  12. Rabanser, U. and Ricci, F. (2005). Recommender systems: Do they have a viable business model in e-tourism? In Frew, A., editor, Information and Communication Technologies in Tourism, pages 160-171. Springer.
  13. Ricci, F., Fesenmaier, D., Mirzadeh, N., Rumetshofer, H., Schaumlechner, E., Venturini, A., Wober, K., and Zins, A. (2006). Dietorecs: A case-based travel advisory system. In Fesenmaier, D., Wober, K., and Werthner, H., editors, Destination Recommendation Systems: Behavioral Foundations and Applications.
  14. Sarwar, B., Karypis, G., Konstan, J., and Reidl, J. (2001). Item-based collaborative filtering recommendation algorithms. In Proceed. of the 10th Inter. Conf. on WWW. ACM.
  15. Schafer, J. B., Frankowski, D., Herlocker, J., and Sen, S. (2007). Collaborative filtering recommender systems. In Brusilovsky, P., Kobsa, A., and Nejdl, W., editors, The Adaptive Web, pages 291-324. Springer.
  16. Schiaffino, S. and Amandi, A. (2009). Building an expert travel agent as a software agent. Expert Systems with Applications, 36(2):1291-1299.
  17. Staab, S., Werthner, H., Ricci, F., Zipf, A., Gretzel, U., Fesenmaier, D., Paris, C., and Knoblock, C. (2002). Intelligent systems for tourism. IEEE Intelligent Systems, 17(6):53-64.
  18. Undheim, T. A. and Blakemore, M. (2007). A handbook for citizen-centric egovernment.
  19. Vassilakis, C. and Lepouras, G. (2006). An ontology for e-government public services. Encyclopedia of ECommerce, E-Government and Mobile Commerce.
  20. Wauters, P., Nijskens, M., and Tiebout, J. (2007). The user challenge, benchmarking the supply of online public services.
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Paper Citation


in Harvard Style

Al-hassan M., Lu H. and Lu J. (2010). A FRAMEWORK FOR DELIVERING PERSONALIZED E-GOVERNMENT TOURISM SERVICES . In Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST, ISBN 978-989-674-025-2, pages 263-270. DOI: 10.5220/0002803802630270


in Bibtex Style

@conference{webist10,
author={Malak Al-hassan and Helen Lu and Jie Lu},
title={A FRAMEWORK FOR DELIVERING PERSONALIZED E-GOVERNMENT TOURISM SERVICES},
booktitle={Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST,},
year={2010},
pages={263-270},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002803802630270},
isbn={978-989-674-025-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Web Information Systems and Technology - Volume 2: WEBIST,
TI - A FRAMEWORK FOR DELIVERING PERSONALIZED E-GOVERNMENT TOURISM SERVICES
SN - 978-989-674-025-2
AU - Al-hassan M.
AU - Lu H.
AU - Lu J.
PY - 2010
SP - 263
EP - 270
DO - 10.5220/0002803802630270