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Recommendation system for popular tourist attractions in Taiwan using Delphi panel and repertory grid techniques

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  • Yeh, Duen-Yian
  • Cheng, Ching-Hsue

Abstract

Problems exist in current on-line information systems available to tourists in that they are often of a general nature not offering a personalized service. To overcome this, in the context of the leading 100 Taiwanese attractions, a system is proposed comprising: (a) a construct elicitation mechanism using the Delphi panel method; (b) a matrix construction mechanism using the repertory grids, expert knowledge, and user preference; and (c) a recommendation mechanism using two similarity methods to provide recommendations. A study was consequently undertaken, and the main findings included: (1) the mean levels of precision in matching attractions with preferences were 60.4–79.3%, exceeding levels previously reported and so suggesting that the expected outcome of combining the Delphi panel method and repertory grid technique was achieved and (2) after decreasing the number of constructs, reductions in data-sparsity effect and dimensionality were also observed.

Suggested Citation

  • Yeh, Duen-Yian & Cheng, Ching-Hsue, 2015. "Recommendation system for popular tourist attractions in Taiwan using Delphi panel and repertory grid techniques," Tourism Management, Elsevier, vol. 46(C), pages 164-176.
    • Handle: RePEc:eee:touman:v:46:y:2015:i:c:p:164-176
    DOI: 10.1016/j.tourman.2014.07.002
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    References listed on IDEAS

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    1. Leask, Anna, 2010. "Progress in visitor attraction research: Towards more effective management," Tourism Management, Elsevier, vol. 31(2), pages 155-166.
    2. Chong Ju Choi & Carla C. J. M. Millar & Caroline Y. L. Wong, 2005. "Knowledge and the State," Palgrave Macmillan Books, in: Knowledge Entanglements, chapter 0, pages 19-38, Palgrave Macmillan.
    3. Rodríguez, Beatriz & Molina, Julián & Pérez, Fátima & Caballero, Rafael, 2012. "Interactive design of personalised tourism routes," Tourism Management, Elsevier, vol. 33(4), pages 926-940.
    4. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    5. Zhang, Zi-Ke & Zhou, Tao & Zhang, Yi-Cheng, 2010. "Personalized recommendation via integrated diffusion on user–item–tag tripartite graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(1), pages 179-186.
    6. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
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    Cited by:

    1. José Ruiz-Meza & Julio Brito & Jairo R. Montoya-Torres, 2021. "Multi-Objective Fuzzy Tourist Trip Design Problem with Heterogeneous Preferences and Sustainable Itineraries," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
    2. Kai Wang & Menghan Wang & Chang Gan & Qinchang Chen & Mihai Voda, 2021. "Tourism Economic Network Structural Characteristics of National Parks in the Central Region of China," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    3. Park, Sangwon & Kim, Dae-Young, 2017. "Assessing language discrepancies between travelers and online travel recommendation systems: Application of the Jaccard distance score to web data mining," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 381-388.
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    5. Huang, Chao & Ding, Yi & Hu, Weihao & Jiang, Yi & Li, Yongzhen, 2021. "Cost-Based attraction recommendation for tour operators under stochastic demand," Omega, Elsevier, vol. 102(C).
    6. José Luis Cornejo Ortega & Christopher D. Malcolm, 2020. "Touristic Stakeholders’ Perceptions about the Smart Tourism Destination Concept in Puerto Vallarta, Jalisco, Mexico," Sustainability, MDPI, vol. 12(5), pages 1-18, February.
    7. Kai Wang & Chang Gan & Lijun Chen & Mihai Voda, 2020. "Poor Residents’ Perceptions of the Impacts of Tourism on Poverty Alleviation: From the Perspective of Multidimensional Poverty," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
    8. Ismail, Siti Noraishah & Ramli, Azizan, 2023. "Investigate the factors affecting safety culture in the Malaysian mining industry," Resources Policy, Elsevier, vol. 85(PA).
    9. Raheleh Hassannia & Ali Vatankhah Barenji & Zhi Li & Habib Alipour, 2019. "Web-Based Recommendation System for Smart Tourism: Multiagent Technology," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    10. Luz Santamaria-Granados & Juan Francisco Mendoza-Moreno & Gustavo Ramirez-Gonzalez, 2020. "Tourist Recommender Systems Based on Emotion Recognition—A Scientometric Review," Future Internet, MDPI, vol. 13(1), pages 1-38, December.
    11. Zheng, Weimin & Liao, Zhixue & Qin, Jing, 2017. "Using a four-step heuristic algorithm to design personalized day tour route within a tourist attraction," Tourism Management, Elsevier, vol. 62(C), pages 335-349.
    12. Theo Arentze & Astrid Kemperman & Petr Aksenov, 2018. "Estimating a latent-class user model for travel recommender systems," Information Technology & Tourism, Springer, vol. 19(1), pages 61-82, June.
    13. Ruiz-Meza, José & Montoya-Torres, Jairo R., 2022. "A systematic literature review for the tourist trip design problem: Extensions, solution techniques and future research lines," Operations Research Perspectives, Elsevier, vol. 9(C).

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