Engineering Management Reviews (EMR)

Editor-in-Chief: Prof. Dr. Lai Yifei
Frequency: Semi-annually
ISSN Online: 2326-5884
ISSN Print: 2326-5876
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Paper Infomation

Advanced Tourist Trip Planning Using Hybrid Recommender

Full Text(PDF, 666KB)

Author: Saso Koceski, Biljana Petrevska

Abstract: The paper intends to underline that tourists’ and travelers’ behaviour and preferences have changed dramatically specifically to the way how they search for information. In order to create a tailor-made itinerary and to enhance the way of planning a tourist trip, the paper suggests introduction of tourism recommendation systems. For this purpose, a methodology is proposed that assists all interested parties in planning their vacation on more intelligent and sophisticated way by generating a personalized list of favorable items. By application of this approach, consumers can create custom-made ideal holiday, thus resulting in satisfied tourists with access to various information on prices, distributors, providers and entire market of competitors, and pays for a high quality service.

Keywords: Tourism; Recommendation Systems; Tourist Trip; Planning



References:

[1] Buhalis, Dimitrios, and Peter O’Connor. ”Information Communication Technology Revolutionizing Tourism.” Tourism recreation research 30(3) (2005): 7-16.

[2] Buhalis, Dimitiros, and Rob Law. ”Progress in information technology and tourism management: 20 years on and 10 years after the Internet - the state of eTourism research.” Tourism Managemen 29 (2008): 609-623.

[3] Connolly, D J, and S Lee. ”Developing information technology proficiencies and fluency in hospitality students.” Journal of Hospitality & Tourism Education 18(3) (2006): 15-29.

[4] Charou, Eleni, Katerina Kabassi, Aristotelis Martinis, and Marianthi Stefouli, M. ”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, 2010: 63-74.

[5] Daramola, Olawande J, Mathew O Adigun, Charles K Ayo, and O O Olugbara. ”Improving the dependability of destination recommendations using information on social aspects.” Tourismos: an International Multidisciplinary Journal of Tourism 5(1) 2010: 13-34.

[6] Frew, Anrew J. ”A critical analysis of tourism information technology research.” In: Fesenmaier, Klein, and Buhalis (Eds.), Information and communication technologies in tourism New York: Springer-Verlag 2000: 39-52.

[7] Gibson, Heather, and Anrew Yiannakis. ”Tourist roles: Needs and the life course.” Annals of Tourism Research 29(2) 2002: 358-383.

[8] Goossen, Martin, Henk Meeuwsen, Jappe Franke, and Marjolijn Kuyper. ”My Ideal Tourism Destination: Personalized Destination Recommendation System Combining Individual Preferences and GIS Data.” Journal of Information Technology & Tourism 11(1) 2009: 17-30.

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

[10] Hennessey, Sean, Roberta MacDonald, and Melissa MacEachern. ”A Framework for Understanding Golfing Visitors to a Destination.” Journal of Sport & Tourism 13(1) 2008: 5-35.

[11] Hinze, Annika, Agnes Voisard, and George Buchanan. ”TIP: Personalizing Information Delivery in a Tourist Information System.” Journal of Information Technology & Tourism 11(3) 2009: 247-264.

[12] Jannach, Dietmar. ”Finding preferred query relaxations in content-based recommenders.” IEEE Intelligent Systems Conference, Westminster, UK, 2006: 355-360.

[13] Kabassi, Katerina. ”Personalizing recommendations for tourists.” Telematics and Informatics 27(1) 2010: 51-66.

[14] Kazienko, Przemyslaw, and Pawel Kolodziejski. ”Personalized Integration Recommendation Methods for E-commerce.” International Journal of Computer & Applications 3(3) 2006: 12-26.

[15] Kirk, David, and Ry Pine. ”Research in hospitality systems and technology.” International Journal of Hospitality Management 17(2) 1998: 203-217.

[16] Kluge, E. Alan. ”A literature review of information technology in the hospitality curriculum.” Hospitality Research Journal 19(4) 1996: 45-64.

[17] Law, Rob, Rossana Leung, and Dimitros Buhalis. ”Information technology application in hospitality and tourism: a review of publications from 2005 to 2007.” Journal of Travel and Tourism Marketing 26(5-6) 2009: 599-623.

[18] Leung, Ross, and Rob Law. ”An analysis of information technology publications in leading hospitality journals.” FIU Hospitality Review 23(2) 2005: 55-65.

[19] Loh, Stanley, Fabiana Lorenzi, Ramiro Saldaña, and Daniel Licthnow. ”A Tourism Recommender System Based on Collaboration and Text Analysis.” Information Technology & Tourism 6 2004: 157-165.

[20] Mills, Jiline, and Rob Law. Handbook of Consumer Behaviour, Tourism and the Internet, New York: Harworth Hospitality Press 2004.

[21] Minciu, Rodica, Mihaela Padurean, Delia Popescu, and Remus Hornoiu. ”Deamnd for vacations/travel in protected areas – dimension of tourists’ ecological behavior.” Amfiteatru Economic XIV(31) 2012: 99-113.

[22] Mirzadeh, Nader, Francesko Ricci, and Mukesh Bansal. ”Supporting user query relaxation in a recommender system.” 5th International Conference on E-Commerce and Web Technologies (EC-Web), Zaragoza, Spain, 2004: 31-40.

[23] Morrison, Alastair, Jing Su, Joseph O’Leary, and Liping Cai. ”Predicting usage of the Internet for travel bookings: An exploratory study.” Information Technology and Tourism 4(1) 2001: 15-30.

[24] McSherry, David. ”Retrieval failure and recovery in recommender systems.” Artificial Intelligence Review 24 2005: 319-338.

[25] Niaraki, Abolghasem Sadeghi, and Kyehyun Kim. ”Ontology based personalized route planning system using a multi criteria decision making approach.” Expert Systems with Applications 36 2009: 2250-2259.

[26] Orio, Nicola. ”Music Retrieval: A tutorial and Review.” Foundations and Trends in Information Retrieval 1(1) 2006: 1-96.

[27] O’Connor, Peter, and Jamie Murphy. ”Research on information technology in the hospitality industry.” International Journal of Hospitality Management 23(5) 2004: 473-484.

[28] Popescu, Dan, Iulia Chivu, Alina Ciocarlân-Chitucea, and Daniela Oana Popescu. ”The development of touristic services through individual and organizational learning. Study case: Romania and Spain.” Amfiteatru Economic XIII(5) 2011: 725-735.

[29] Pan, Bing, Stephen W Litvin, and Thomas E O’ Donnell. ”Understanding accommodation search query formulation: The first step in putting ‘heads in beds’.” Journal of Vacation Marketing 13(4) 2007: 371-381.

[30] Pan, Bing, Zheng Xiang, Daniel R Fesenmaier, and Rob Law. ”The dynamics of search engine marketing for tourist destinations.” Journal of Travel Research 50(4) 2011: 365-377.

[31] Prahalad, Coimbatore K, and Venkatram Ramaswamy. ”Co-opting Customer Competence.” Harvard Business Review 78(1) 2000: 79–87.

[32] Ricci, Francesco and Fabio Del Missier. ”Supporting Travel Decision Making through Personalized Recommendation.” In: Clare-Marie Karat, Jan Blom, and John Karat (eds.), Designing Personalized User Experiences for eCommerce, Kluwer Academic Publisher, 2004: 221-251.

[33] Ricci, Francesco and Hannes Werthner. ”Case base querying for travel planning recommendation.” Information Technology & Tourism 4(3/4) 2002: 215-226.

[34] Ricci, Francesco, Bora Arslan, Nader Mirzadeh, and Adriano Venturini. ”ITR: A case-based travel advisory system.” 6th European Conference on Advances in Case-Based Reasoning, 2002: 613-627.

[35] Setten, Mark Van. ”Supporting people in finding information. Hybrid recommender systems and goal-based structuring.” Telematica Instituut Fundamental Research Series, 016, Enschede, the Netherlands: Telematica Instituut 2005.

[36] Singh, Arjun J, and Michael L Kasavana. ”The impact of information technology on future management of lodging operations: A Delphi study to predict key technological events in 2007 and 2027.” Tourism & Hospitality Research 6(1) 2005: 24-37.

[37] Schonland, A M and P W Williams. ”Using the Internet for Travel and Tourism Survey Research: Experiences from the Net Traveler Survey.” Journal of Travel Research 35(2) 1996: 81-87.

[38] Thompson, Cynthia, Mehmet Göker, and Pat Langley. ”A personalized system for conversational recommendations.” Journal of Artificial Intelligence Research 21 2004: 393-428.

[39] Vansteenwegen, Pieter, and Souffriau Wouter. ”Trip Planning Functionalities: State of the Art and Future.” Information Technology & Tourism 12(4) 2011: 305-315.

[40] Wallace, Manolis, Ilias Maglogiannis, Kostas Karpouzis, George Kormentzas, and Stefanos Kollias. ”Intelligent onestop-shop travel recommendations using an adaptive neural network and clustering of history.” Information Technology & Tourism 6 2003: 181-193.

[41] Weber, Karin, and Wesley S Roehl. ”Profiling People Searching for and Purchasing Travel Products on the World Wide Web.” Journal of Travel Research 37(3) 1999: 291-298.

[42] Xiang, Zheng, and Bing Pan. ”Travel queries on cities in the United States: Implications for search engine marketing for tourist destinations.” Tourism Management 32(1) 2010: 88-97.

[43] Zanker, Markus, Matthias Fuchs, Wolfram Höpken, Mario Tuta, and Nina Müller. ”Evaluating Recommender Systems in Tourism - A Case Study from Austria.” In: P. O'Connor et al. (Hrsg.): Information and Communication Technologies in Tourism, Proceedings ENTER 2008, Springer 2008: 24-34.

[44] Ziegler, Cai-Nicolas, and Jennifer Golbeck. ”Investigating Correlations of Trust and Interest Similarity.” Decision Support Systems 43 2007: 460-475.

[45] Zhang, Lixuan, Bing Pan, Wayne Smith, and Xiang Li. ”Travelers’ Use of Online Reviews and Recommendations: A Qualitative Study.” Journal of Information Technology & Tourism 11(2) 2009: 157-167.