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International Conference on Web Information Systems and Technologies

WEBIST 2010: Web Information Systems and Technologies pp 173–187Cite as

Personalized e-Government Services: Tourism Recommender System Framework

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 75))

Abstract

Most governments around the globe use the internet and information technologies to deliver information and services for citizens and businesses. One of the main directions in the current e-government (e-Gov) development strategy is to provide better online services to citizens such that the required information can be located by citizens with less time and effort. Tourism is one of the main focused areas of e-Gov development strategy because it is one of the major profitable industries. Significant efforts have been devoted by governments to improve tourism services. However, the current e-Gov tourism services are limited to simple online presentation; intelligent e-Gov tourism services are highly desirable. Personalization techniques, particularly recommendation systems, are the most promising techniques to deliver personalized e-Gov (Pe-Gov) tourism services. This study proposes ontology-based personalized e-Gov tourism recommender system framework, which would enable tourism information seekers to locate the most interesting destinations and find the most preferable attractions and activities with less time and effort. The main components of the proposed framework and some outstanding features are presented along with a detailed description of a scenario.

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Author information

Authors and Affiliations

  1. Quantum Computation and Intelligent Systems Centre, Faculty of Engineering and Information Technology, University of Technology, P.O. Box 123, Broadway, NSW 2007, Sydney, Australia

    Malak Al-hassan, Haiyan Lu & Jie Lu

Authors
  1. Malak Al-hassan
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  2. Haiyan Lu
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  3. Jie Lu
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Editor information

Editors and Affiliations

  1. Department of Systems and Informatics, Polytechnic Institute of Setúbal, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    Joaquim Filipe

  2. Institute for Systems and Technologies of Information, Control and Communication Department of Systems and Informatics, Polytechnic Institute of Setúbal, Rua do Vale de Chaves - Estefanilha, 2910-761, Setúbal, Portugal

    José Cordeiro

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Al-hassan, M., Lu, H., Lu, J. (2011). Personalized e-Government Services: Tourism Recommender System Framework. In: Filipe, J., Cordeiro, J. (eds) Web Information Systems and Technologies. WEBIST 2010. Lecture Notes in Business Information Processing, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22810-0_13

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  • DOI: https://doi.org/10.1007/978-3-642-22810-0_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22809-4

  • Online ISBN: 978-3-642-22810-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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