Abstract
The system design and development of context-aware recommendation for personalized mobile travel planning is an important issue for both research and practices. The goal of this paper is to propose a system development framework and processes for directing the design and implementation of a context-aware recommender system that provides personalized mobile travel planning services. Design science is chosen as the research methodology and technologies integrated for building the system include rule-based reasoning, model based computing, and context data modeling. A prototype system is also constructed and evaluated to validate the feasibility and effectiveness of the proposed system development approach.
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References
Yang, W.-S., Hwang, S.-Y.: iTravel: a recommender system in mobile peer-to-peer environment. Journal of Systems and Software (in press, 2012)
Mehra, P.: Context-aware computing: beyond search and location-based services. IEEE Internet Computing 16, 12–16 (2012)
Yndurain, E., Bernhardt, D., Campo, C.: Augmenting mobile search engines to leverage context awareness. IEEE Internet Computing 16, 17–25 (2012)
Kabassi, K.: Personalizing recommendations for tourists. Telematics and Informatics 27, 51–66 (2010)
Emmanouilidis, C., Koutsiamanis, R., Tasidou, A.: Mobile guides: taxonomy of architectures, context awareness, technologies and applications. Journal of Network and Computer Applications (in press, 2012)
Garcia, I., Sebastia, L., Onaindia, E.: On the design of individual and group recommender systems for tourism. Expert Systems with Applications 38, 7683–7693 (2011)
Yilmaz, O., Erdur, R.C.: iConAwa – an intelligent context-aware system. Expert Systems with Applications 39, 2907–2918 (2012)
Noguera, J.M., Barranco, M.J., Segura, R.J., Martinez, L.: A mobile 3D-GIS hybrid recommender system for tourism. Information Sciences 215, 37–52 (2012)
Tsai, C.-Y., Chung, S.-H.: A personalized route recommendation service for theme parks using RFID information and tourist behavior. Decision Support Systems 52, 514–527 (2012)
March, S.T., Smith, G.F.: Design and natural science research on information technology. Decision Support Systems 15, 251–266 (1995)
Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. Journal of Management Information Systems 24, 45–77 (2007)
Yu, C.-C.: Integrating Personalized and Community Services for Mobile Travel Planning and Management. In: Papasratorn, B., Lavangnananda, K., Chutimaskul, W., Vanijja, V. (eds.) IAIT 2010. CCIS, vol. 114, pp. 202–213. Springer, Heidelberg (2010)
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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Yu, CC., Chang, Hp. (2013). Towards Context-Aware Recommendation for Personalized Mobile Travel Planning. In: Vinh, P.C., Hung, N.M., Tung, N.T., Suzuki, J. (eds) Context-Aware Systems and Applications. ICCASA 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36642-0_12
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DOI: https://doi.org/10.1007/978-3-642-36642-0_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36641-3
Online ISBN: 978-3-642-36642-0
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