IDEAS home Printed from https://ideas.repec.org/a/spr/infott/v19y2018i1d10.1007_s40558-018-0105-z.html
   My bibliography  Save this article

Estimating a latent-class user model for travel recommender systems

Author

Listed:
  • Theo Arentze

    (Eindhoven University of Technology)

  • Astrid Kemperman

    (Eindhoven University of Technology)

  • Petr Aksenov

    (Eindhoven University of Technology)

Abstract

In determining the selection of sites to visit on a trip tourists have to trade-off attraction values against routing and time-use characteristics of points of interest (POIs). For recommending optimal personalized travel plans an accurate assessment of how users make these trade-offs is important. In this paper we report the results of a study conducted to estimate a user model for travel recommender systems. The proposed model is part of c-Space—a tour-recommender system for tourists on a city trip which uses the LATUS algorithm to find personalized optimal tours. The model takes into account a multi-attribute utility function of POIs as well as dynamic needs of persons on a trip. A stated choice experiment is designed where the current need is manipulated as a context variable and activity choice alternatives are varied. A random sample of 316 individuals participated in the on-line survey. A latent-class analysis shows that significant differences exist between tourists in terms of how they make the trade-offs between the factors and respond to needs. The estimation results provide the parameters of a multi-class user model that can be used for travel recommender systems.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:infott:v:19:y:2018:i:1:d:10.1007_s40558-018-0105-z
    DOI: 10.1007/s40558-018-0105-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40558-018-0105-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40558-018-0105-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics.
    2. Ashworth, Gregory & Page, Stephen J., 2011. "Urban tourism research: Recent progress and current paradoxes," Tourism Management, Elsevier, vol. 32(1), pages 1-15.
    3. Arentze, Theo A. & Timmermans, Harry J.P., 2009. "A need-based model of multi-day, multi-person activity generation," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 251-265, February.
    4. Wynen, Jan, 2013. "Explaining travel distance during same-day visits," Tourism Management, Elsevier, vol. 36(C), pages 133-140.
    5. Lin, Yeqiang & Kerstetter, Deborah & Nawijn, Jeroen & Mitas, Ondrej, 2014. "Changes in emotions and their interactions with personality in a vacation context," Tourism Management, Elsevier, vol. 40(C), pages 416-424.
    6. Matthias Braunhofer & Mehdi Elahi & Francesco Ricci, 2015. "User Personality and the New User Problem in a Context-Aware Point of Interest Recommender System," Springer Books, in: Iis Tussyadiah & Alessandro Inversini (ed.), Information and Communication Technologies in Tourism 2015, edition 127, pages 537-549, Springer.
    7. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923.
    8. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    9. Armbrecht, John, 2014. "Use value of cultural experiences: A comparison of contingent valuation and travel cost," Tourism Management, Elsevier, vol. 42(C), pages 141-148.
    10. 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.
    11. Matthias Braunhofer & Francesco Ricci, 2017. "Selective contextual information acquisition in travel recommender systems," Information Technology & Tourism, Springer, vol. 17(1), pages 5-29, March.
    12. Fernando A. Mikic Fonte & Marta Rey López & Juan C. Burguillo & Ana Peleteiro & Ana B. Barragáns Martínez, 2013. "A Tagging Recommender Service for Mobile Terminals," Springer Books, in: Lorenzo Cantoni & Zheng (Phil) Xiang (ed.), Information and Communication Technologies in Tourism 2013, edition 127, pages 424-435, Springer.
    13. Matthias Braunhofer & Francesco Ricci, 0. "Selective contextual information acquisition in travel recommender systems," Information Technology & Tourism, Springer, vol. 0, pages 1-25.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kemperman, Astrid, 2021. "A review of research into discrete choice experiments in tourism: Launching the Annals of Tourism Research Curated Collection on Discrete Choice Experiments in Tourism," Annals of Tourism Research, Elsevier, vol. 87(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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).
    3. Canessa, Carolin & Venus, Terese E. & Wiesmeier, Miriam & Mennig, Philipp & Sauer, Johannes, 2023. "Incentives, Rewards or Both in Payments for Ecosystem Services: Drawing a Link Between Farmers' Preferences and Biodiversity Levels," Ecological Economics, Elsevier, vol. 213(C).
    4. Boyce, Christopher & Czajkowski, Mikołaj & Hanley, Nick, 2019. "Personality and economic choices," Journal of Environmental Economics and Management, Elsevier, vol. 94(C), pages 82-100.
    5. Minhaj Mahmud & Italo A Gutierrez & Krishna B Kumar & Shanthi Nataraj, 2021. "What Aspects of Formality Do Workers Value? Evidence from a Choice Experiment in Bangladesh," The World Bank Economic Review, World Bank, vol. 35(2), pages 303-327.
    6. Tonsor, Glynn T. & Olynk, Nicole & Wolf, Christopher, 2009. "Consumer Preferences for Animal Welfare Attributes: The Case of Gestation Crates," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(3), pages 713-730, December.
    7. Rombach, Meike & Widmar, Nicole Olynk & Byrd, Elizabeth & Bitsch, Vera, 2018. "Do all roses smell equally sweet? Willingness to pay for flower attributes in specialized retail settings by German consumers," Journal of Retailing and Consumer Services, Elsevier, vol. 40(C), pages 91-99.
    8. Sarfo, Yaw & Musshoff, Oliver & Weber, Ron & Danne, Michael, 2021. "Farmers’ Willingness to Pay for Digital Credit: Evidence from a Discrete Choice Experiment in Madagascar," 2021 Conference, August 17-31, 2021, Virtual 315029, International Association of Agricultural Economists.
    9. Rodríguez, Xosé A. & Martínez-Roget, Fidel & González-Murias, Pilar, 2018. "Length of stay: Evidence from Santiago de Compostela," Annals of Tourism Research, Elsevier, vol. 68(C), pages 9-19.
    10. Junyi Shen & Tatsuyoshi Saijo, 2007. "Does energy efficiency label alter consumers f purchase decision? A latent class approach on Shanghai data," OSIPP Discussion Paper 07E005, Osaka School of International Public Policy, Osaka University.
    11. Adelina Gshwandtner & Cheul Jang & Richard McManus, 2017. "Improving Drinking Quality in South Korea: A Choice Experiment," Studies in Economics 1720, School of Economics, University of Kent.
    12. Danne, Michael & Mußhoff, Oliver, 2018. "Producers' valuation of animal welfare practices: Does herd size matter?," DARE Discussion Papers 1801, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    13. Taneja, Anu & Arora, Anuja, 2019. "Modeling user preferences using neural networks and tensor factorization model," International Journal of Information Management, Elsevier, vol. 45(C), pages 132-148.
    14. Marescotti, Maria Elena & Caputo, Vincenzina & Demartini, Eugenio & Gaviglio, Anna, 2020. "Consumer preferences for wild game cured meat label: do attitudes towards animal welfare matter?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(4), June.
    15. Ekin Birol & Sukanya Das, 2010. "The Value of Improved Public Services : An Application of the Choice Experiment Method to Estimate the Value of Improved Wastewater Treatment Infrastructure in India," Development Economics Working Papers 23062, East Asian Bureau of Economic Research.
    16. Cordula Hinkes & Inken Christoph-Schulz, 2020. "No Palm Oil or Certified Sustainable Palm Oil? Heterogeneous Consumer Preferences and the Role of Information," Sustainability, MDPI, vol. 12(18), pages 1-26, September.
    17. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    18. Canessa, Carolin & Venus, Terese & Wiesmeier, Miriam & Mennig, Philipp & Sauer, Johannes, 2023. "Farmers’ preferences over alternative AECS designs. Do the ecological conditions influence the willingness to accept result-based contracts?," 97th Annual Conference, March 27-29, 2023, Warwick University, Coventry, UK 334508, Agricultural Economics Society - AES.
    19. Markova-Nenova, Nonka & Wätzold, Frank, 2017. "Fairness to dairy cows or fairness to farmers: What counts more in the preferences of conventional milk buyers for ethical attributes of milk?," MPRA Paper 83066, University Library of Munich, Germany.
    20. Varela, Elsa & Kallas, Zein, 2022. "Extensive Mediterranean agroecosystems and their linked traditional breeds: Societal demand for the conservation of the Majorcan black pig," Land Use Policy, Elsevier, vol. 112(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infott:v:19:y:2018:i:1:d:10.1007_s40558-018-0105-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.