TOURISM RECOMMENDATION SYSTEM: EMPIRICAL INVESTIGATION

Biljana PETREVSKA, Saso KOCESKI

Abstract


The paper makes an attempt to justify the necessity of implementing recommendation system which will assist tourists in identification of their ideal holiday. The proposed recommendation system based on collaborative filtering notes positive impulses in the case of Macedonia. A software module is developed being capable to generate a personalized list of favorable and tailor-made items. The research outcomes indicate that the designed national tourism web portal can provide satisfactory performance and may be of high importance to all key-tourism actors in the process of identifying measures necessary for creating competitive tourism product.

Keywords


Collaborative filtering; Tourism web-portal; Tourist profiling; Recommendation system

References


Charou, E., Kabassi, K., Martinis, A. and Stefouli, M. (2010) Integrating Multimedia GIS Technologies in a Recommendation System for Geo-tourism, in: Tsihrintzis, G. A. and Jain, L. C. (eds.). Multimedia Services in Intelligent Environment, Springen-Verlag Berlin, pp. 63-74.

Daramola, O. J., Adigun, M. O., Ayo, C. K. and Olugbara, O. O. (2010) Improving the Dependability of Destination Recommendations Using Information on Social Aspects, Tourismos: an International Multidisciplinary Journal of Tourism, 5(1), pp. 13-34.

Gibson, H. and Yiannakis, A. (2002) Tourist Roles: Needs and the Life Course, Annals of Tourism Research, 29(2), pp. 358-383.

Goossen, M., Meeuwsen, H., Franke, J. and Kuyper, M. (2009) My Ideal Tourism Destination: Personalized Destination Recommendation System Combining Individual Preferences and GIS Data, Journal of Information Technology & Tourism, 11(1), pp.17-30.

Gretzel, Ulrike, Hyan, Kyung Yoo, and Purifoy Melanie. (2007) Online Travel Review Study: Role & Impact of Online Travel Reviews.

Hinze, A., Voisard, A. and Buchanan, G. (2009) TIP: Personalizing Information Delivery in a Tourist Information System, Journal of Information Technology & Tourism, 11(3), pp. 247-264

Jannach, D. (2006) Finding Preferred Query Relaxations in Content-based Recommenders, IEEE Intelligent Systems Conference, Westminster, UK, pp. 355–360.

Niaraki, A.S., Kim, K. (2009) Ontology Based Personalized Route Planning System Using a Multi-criteria Decision Making Approach, Expert Systems with Applications 36, pp. 2250–2259.

Kazienko, P. and Kolodziejski, P. (2006) Personalized Integration Recommendation Methods for E-commerce, International Journal of Computer & Applications, 3(3), pp. 12-26.

Loh, S., Lorenzi, F., Saldaña, R. and Licthnow, D. (2004) A Tourism Recommender System Based on Collaboration and Text Analysis, Information Technology & Tourism, 6, pp. 157-165.

Mirzadeh, N., Ricci, F. and Bansal, M. (2004) Supporting User Query Relaxation in a Recommender System, 5th International Conference on E-Commerce and Web Technologies (EC-Web), Zaragoza, Spain, pp. 31–40.

McSherry, D. (2005) Retrieval Failure and Recovery in Recommender Systems, Artificial Intelligence Review, 24, pp. 319–338.

Palanivel, K. and Siavkumar, R. (2010) Fuzzy Multi-criteria Decision-making Approach for Collaborative Recommender Systems, International Journal of Computer Theory and Engineering, 2(1), pp. 57-63.

Petrevska, B. (2010) Tourism in the Global Development Strategy of Macedonia: Economic Perspectives, UTMS Journal of Economics, 2(1), pp. 101-108.

Petrevska, B. (2011a) Accommodation Capacities in Macedonia as a Factor for Competitive Tourism Supply, CEA Journal of Economics, 6(2), pp. 35-42.

Petrevska, B. (2011b) Economic Planning of Tourism Development in Macedonia, Economic Development, 3/2010, pp. 133-145.

Ricci, F. and Del Missier, F. (2004) Supporting Travel Decision Making through Personalized Recommendation, in: Clare-Marie Karat, Jan Blom, and John Karat (eds.), Designing Personalized User Experiences for e-Commerce, Kluwer Academic Publisher, pp. 221-251.

Ricci, F. and Werthner, H. (2002) Case Base Querying for Travel Planning recommendation, Information Technology & Tourism, 4(3/4), pp. 215–226.

Ricci, F., Arslan, B., Mirzadeh, N. and Venturini, A. (2002) ITR: A Case-based Travel Advisory System, 6th European Conference on Advances in Case-Based Reasoning, pp. 613–627.

Thompson, C., Göker, M. and Langley, P. (2004) A personalized system for conversational recommendations, Journal of Artificial Intelligence Research, 21, 393– 428.

Vansteenwegen, P. and Wouter, S. (2001) Trip Planning Functionalities: State of the Art and Future, Information Technology & Tourism, 12(4), pp. 305-315.

Wallace, M., Maglogiannis, I., Karpouzis, K., Kormentzas, G. and Kollias, S. (2003) Intelligent One-stop-shop Travel Recommendations Using an Adaptive Neural Network and Clustering of History, Information Technology & Tourism 6, pp. 181–193.

Wang, J. (2008) Improving decision‐making practices through information filtering, International Journal of Information and Decision Sciences, 1(1), pp. 1‐4.

Yiannakis, A. and Gibson, H. (1992) Roles Tourist Play, Annals of Tourism Research, 19, pp. 287-303.

Zanker, M., Fuchs, M., Höpken, W., Tuta, M. and Müller, N. (2008) Evaluating Recommender Systems in Tourism - A Case Study from Austria, in: P. O'Connor et al. (eds.): Information and Communication Technologies in Tourism, Proceedings ENTER 2008, Springer, pp. 24-34.

Zhang, L., Pan, B., Smith, W. and Li, X. (2009) Travelers’ Use of Online Reviews and Recommendations: A Qualitative Study, Journal of Information Technology & Tourism, 11(2), pp. 157-167.

Ziegler, C. N. and Golbeck, J. (2007) Investigating Interactions of Trust and Interest Similarity, Decision Support Systems, 43, pp. 460-475.

*** WTTC. (2011) Travel & Tourism 2011. http://www.wttc.org/site_media/uploads/downloads/ traveltourism2011.pdf.


Full Text: PDF

Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.