A Framework for Delivering Personalized E-Government Tourism Services

Institute for Systems and Technologies of Information, Control and Communication
Publication Type:
Conference Proceeding
WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology, 2010, pp. 263 - 270
Issue Date:
Full metadata record
Files in This Item:
Filename Description SizeFormat
2009007864OK.pdf1.2 MBAdobe PDF
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 â where to go, and what to do/seeâ 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.
Please use this identifier to cite or link to this item: