A Framework of Personalized Travelling Information Services for Thailand

Article Preview

Abstract:

Planning each comprehensive trip is regarded as a complicated and time-consuming task which includes the process starting from searching specific tourist information to planning an itinerary in unfamiliar areas. In response to the decision making challenges that tourists may encounter in planning a trip or discovering a destination, this paper proposes an integrated framework for a system supporting tourists in Thailand. The aim of the framework is to provide a service that considers data from a variety of sources, including static and social data, and then recommends points of interest (POI) and itineraries for POI, based on the requirements and interests of the user. The framework consists of three components: a personalized POI recommendation engine, an itinerary planner, and a mobile application. Together these form the foundation of a personalized travelling information system for Thailand. This paper outlines the basic framework and provides a discussion on the potential issues encountered.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 931-932)

Pages:

1382-1386

Citation:

Online since:

May 2014

Export:

Price:

* - Corresponding Author

[1] U. Rabanser and F. Ricci, Recommender systems: do they have a viable business model in e-tourism?, In Proceedings of Information and Communication Technologies in Tourism, Innsbruck, Austria, 2005, 160–171.

DOI: 10.1007/3-211-27283-6_15

Google Scholar

[2] J. Miguéns, Baggio, R. and C. Costa, Social media and tourism destinations: TripAdvisor case study, In Proceedings of the Advances in Tourism Research 2008, pp.1-6.

Google Scholar

[3] S. Hays, S. John Page and D. Buhalisb, Social media as a destination marketing tool: its use by national tourism organizations, Current Issues in Tourism, 2013, 16(3), 211-239.

DOI: 10.1080/13683500.2012.662215

Google Scholar

[4] R.A. Abbaspour and F. Samadzadegan, Time-dependent personal tour planning and scheduling in metropolises, Expert Systems with Applications, 2011, 38(10), 12439-12452.

DOI: 10.1016/j.eswa.2011.04.025

Google Scholar

[5] K.G. Zografos and K.N. Androutsopoulos, Algorithms for itinerary planning in multimodal transportation networks, IEEE Transactions on Intelligent Transportation Systems, 2008, 9(1), 175-184.

DOI: 10.1109/tits.2008.915650

Google Scholar

[6] A. Bouhana, A. Fekih, M. Abed and H. Chabchoub, An integrated case-based reasoning approach for personalized itinerary search in multimodal transportation, Transportation Research Part C: Emerging Technologies, 2013, 31, 30-50.

DOI: 10.1016/j.trc.2013.02.014

Google Scholar