Abstract

Tourism is an important economic pole in developed countries. Many countries devoted their expert efforts to absorb more tourists by focusing on attractive and historical aspects of their civilization and good planning on facilities and services. Nowadays rapid grows of information technology affected the way of our life and tourism as a part of this revolution benefits from its advantages. In this study we aim to integrate some of the up-to-date information technologies in order to develop an automated, intelligent and reliable decision making system for tourism industry. Some E-tourism context-aware systems have been made so far based on location and tourist's characteristics. In this paper we propose a distinct one which named Tourists Keeping and Guiding System or simply TKGS. It considers tourist's physiological condition, priorities, location and visit histories in order to offer best services. It guides tourists through their trip and gives them medical cares while they are travelling and it reserves hotel, entertainment and tourism places for them. The idea is integration of the following subsystems; context management, geographic information, feedback management, tourism places, transportation control and medical cares.

References

• Schafer, J. B. , Konstan, J. , Riedl, J. , (2000) 'Recommender systems in E-commerce', Inproceedings of the first ACM Conference on Electronic Commerce, pp. 158–166.
• Van Setten, M. , Pokraev, S. , Koolwaaij, J. , (2004) 'Context-Aware Recommendations in the Mobile Tourist Application COMPASS', In proceedings of Adaptive Hypermedia and Adaptive Web-Based Systems, Third International Conference, Eindhoven, The Netherlands, August 23-26, 2004, pp. 235-244.
• Garcia-Crespo, A. , ChamizoJ. , Rivera, I. , MenckeM. , Colomo-Palacios, R. , G, mez-Berbis J. M. , (2009) SPETA: Social pervasive e-Tourism advisor.
• Breese, J. S. , Heckerman, D. , Kadie, C. , (1998) 'Empirical analysis of predictive algorithms for collaborative filtering', Inproceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pp. 43–52.
• Billsus, D. , Pazzani, M. , (1999) 'A hybrid user model for news story classification', In proceedings of the Seventh International Conference on User Modeling, Banff, Canada, pp. 20–24.
• Burke, R. , (2000) 'Knowledge-based recommender systems', In Kent A. (Ed. ) Encyclopedia of Library and Information Systems, vol 69, Marcel Dekker, New York, NY.
• Berka, T. , Plnig, M. , (2004) 'Designing recommender systems for tourism', In The 11th International Conference on Information Technology in Travel and Tourism, ENTER, Cairo, Egypt.
• Corallo, A. , Lorenzo, G. , Solazzo, G. , ( 2005) 'A semantic recommender engine enabling an e-Tourism scenario', In proceedings of the International Semantic Web Conference.
• Popescuil, A. , Ungar, L. , PennockD. , LawrenceS. , (2001) 'Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments', In proceedings of the 17th conference on Uncertainty in Artificial Intelligence, Seattle, WA.
• O'Grady, M. J. , O'HareG. , M. P. , (2004) Gulliver's Genie: agency, mobility & adaptivity, In Computers & Graphics, V 28(5), pp. 677-689.
• ScherpA. , Boll, S. , 'mobileMM4U - framework support for dynamic personalized multimedia content on mobile systems', (2004) In proceedings of Techniques and Applications for Mobile Commerce Track of Multi Conference Business Informatics, Essen, Germany.
• Schwinger, W. , Grün, C. , Pröll, B. , Retschitzegger, W. , Schauerhuber, A. , (2005) Context-awareness in Mobile Tourism guides - A Comprehensive Survey, In Technical Report.
• Konstantinou, A. V. , Florissi, D. , Yemini, Y. , 'Towards self-configuring networks', In Proc.
• Designing For A Pervasive Information Environment: The Importance Of Information Architecture.
• Yoona, Y. , Uysalb, M. , 'an examination of the effects of motivation and satisfaction on destination loyalty: a structural model', Received 14 November 2001, accepted 29 August 2003.