skip to main content
10.1145/3123818.3123875acmotherconferencesArticle/Chapter ViewAbstractPublication PagesinteraccionConference Proceedingsconference-collections
research-article

A user modeling approach to personalized sightseeing tours

Published: 25 September 2017 Publication History

Abstract

A user modeling approach is presented using a recommendation method to stereotype users, identify user-to-user similarity and construct itineraries suited to the tourist's interests. The method can suggest a city tour route with a list of Point of Interest (POIs) according to the user profiles and preferences. To evaluate the approach, a prototype called 10 Signals is development to offers personalized city tours in Cartagena City, Colombia.

References

[1]
Lu, T., Pál, D., Pál, M. 2010 Contextual Multi-Armed Bandits Journal of Machine. Learning Research, 9, 485--492
[2]
Ekstrand, M.D., Riedl, J.T., Konstan, J.A...2011 Collaborative Filtering Recommender Systems. 1st ed., Now Publishers
[3]
Viviani, M., Bennani, N., Egyed-Zsigmond, E.2010 A survey on user modeling in multi-application environments. In: Advances in Human- Oriented and Personalized Mechanisms, Technologies and Services (CENTRIC), Third International Conference, 111-- 116.
[4]
Ricci, F. 2002. Travel recommender systems. IEEE Intelligent Systems, 17(6), 55--57.
[5]
Ravi, L., & Vairavasundaram, S. 2016. A Collaborative Location Based Travel Recommendation System through Enhanced Rating Prediction for the Group of Users. Computational intelligence and neuroscience.
[6]
Sieg, A., Mobasher, B., & Burke, R. 2007. Web search personalization with ontological user profiles. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (525--534). ACM.
[7]
Borras, J., Moreno, A., & Valls, A. 2014. Intelligent tourism recommender systems: A survey. Expert Systems with Applications, 41(16), 7370--7389
[8]
Lu, J., Wu, D., Mao, M., Wang, W., & Zhang, G. 2015. Recommender system application developments: a survey. Decision Support Systems, 74, 12--32.
[9]
Gavalas, D., Kasapakis, V., Konstantopoulos, C., Mastakas, K., & Pantziou, G. 2013. A survey on mobile tourism Recommender Systems. In Communications and Information Technology (ICCIT), 2013 Third International Conference on (pp. 131--135). IEEE.
[10]
Umanets, A., Ferreira, A., & Leite, N. 2014. GuideMe--A tourist guide with a recommender system and social interaction. Procedia Technology, 17, 407--414.
[11]
Koceski, S., & Petrevska, B. 2012. Empirical evidence of contribution to e-tourism by application of personalized tourism recommendation system. Annals of the Alexandru Ioan Cuza University-Economics, 59(1), 363--374.
[12]
Győrödi, R., Győrödi, C., & Derşidan, M. 2013. An extended recommendation system using data mining implemented for smart phones.
[13]
Lucas, J. P., Luz, N., Moreno, M. N., Anacleto, R., Figueiredo, A. A., & Martins, C. 2013. A hybrid recommendation approach for a tourism system. Expert Systems with Applications, 40(9), 3532--3550.
[14]
Savir, A., Brafman, R., & Shani, G. 2013. Recommending improved configurations for complex objects with an application in travel planning. In Proceedings of the seventh ACM conference on recommender systems (pp. 391--394). ACM.
[15]
Batet, M., Moreno, A., Sánchez, D., Isern, D., & Valls, A. 2012. Turist@: Agent-based personalised recommendation of tourist activities. Expert Systems with Applications, 39(8), 7319--7329.
[16]
Martínez-Santiago, F., Ariza-López, F., Montejo-Ráez, A., & Ureña-López, A. 2012. GeOasis: A knowledge-based geo-referenced tourist assistant. Expert Systems with Applications, 39(14), 11737--11745.
[17]
Noguera, J. M., Barranco, M. J., Segura, R. J., & Martínez, L. 2012. A mobile 3D-GIS hybrid recommender system for tourism. Information Sciences, 215, 37--52
[18]
Braunhofer, M., Elahi, M., Ricci, F., & Schievenin, T. 2013. Context-aware points of interest suggestion with dynamic weather data management. In Information and communication technologies in tourism 2014 (pp. 87--100). Springer International Publishing
[19]
Garcia, A., Torre, I., & Linaza, M. T. 2013. Mobile social travel recommender system. In Information and communication technologies in tourism 2014 (pp. 3--16). Springer International Publishing.
[20]
Meehan, K., Lunney, T., Curran, K., & McCaughey, A. 2013. Context-aware intelligent recommendation system for tourism. In Proceedings of the 11th IEEE international conference on pervasive computing and communications (pp. 328--331)
[21]
Rojas, G., & Uribe, C. 2013. A conceptual framework to develop mobile recommender systems of points of interest. In International workshop on advanced software engineering. Proceedings jornadas chilenas de computación, Chile, November 2013.
[22]
Koceski, S., & Petrevska, B. 2012. Empirical evidence of contribution to e-tourism by application of personalized tourism recommendation system. Annals of the Alexandru Ioan Cuza University - Economics, 59(1), 363--374.
[23]
Gyorodi, R., Gyorodi, C., & Dersidan, M. 2013. An extended recommendation system using data mining implemented for smart phones. International Journal of Computers and Technology, 11(3), 2360--2372.
[24]
Kurata, Y., & Hara, T. 2013. CT-planner4: Toward a more user-friendly interactive day-tour planner. In Information and communication technologies in tourism 2014 (pp. 73--86). Springer International Publishing.
[25]
Yang, W. S., & Hwang, S. Y. 2013. ITravel: A recommender system in mobile peerto-peer environment. The Journal of Systems and Software, 86(1), 12--20.
[26]
Moreno, A., Valls, A., Isern, D., Marin, L., & Borràs, J. 2013. SigTur/e-destination: Ontology-based personalized recommendation of tourism and leisure activities. Engineering Applications of Artificial Intelligence, 26, 633--651
[27]
Ruotsalo, T., Haav, K., Stoyanov, A., Roche, S., Fani, E., Deliai, R., ... & Hyvönen, E. 2013. SMARTMUSEUM: A mobile recommender system for the Web of Data. Web semantics: Science, services and agents on the world wide web, 20, 50--67.
[28]
Borràs, J., Moreno, A., Valls, A., Ferré, M., Ciurana, E., Salvat, J., Russo, A., & AntonClavé, S. 2012. Uso de técnicas de inteligencia artificial para hacer recomendaciones enoturísticas personalizadas en la Provincia de Tarragona. In IX Congreso turismo y tecnologías de la información y las comunicaciones, Málaga, Spain (pp. 217--230). ISBN: 978-84-615-9946-2.
[29]
Barranco, M. J., Noguera, J. M., Castro, J., & Martínez, L. 2012. A context-aware mobile recommender system based on location and trajectory. In Management intelligent systems (pp. 153--162). Springer Berlin Heidelberg.
[30]
Gavalas, D., Kenteris, M., Konstantopoulos, C., & Pantziou, G. 2012. Web application for recommending personalised mobile tourist routes. IET software, 6(4), 313--322.
[31]
Wang, Y., Chan, S. C. F., & Ngai, G. 2012. Applicability of demographic recommender system to tourist attractions: a case study on trip advisor. In Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology-Volume 03 (pp. 97--101). IEEE Computer Society.
[32]
Zhang, M., Tang, J., Zhang, X., & Xue, X. 2014. Addressing cold start in recommender systems: A semi-supervised co-training algorithm. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval (pp. 73--82). ACM.
[33]
Lamche, B., Pollok, E., Wörndl, W., & Groh, G. 2014. Evaluating the Effectiveness of Stereotype User Models for Recommendations on Mobile Devices. In UMAP Workshops.
[34]
Rich, E. 1979. User modeling via stereotypes. Cognitive science, 3(4), 329--354.
[35]
Moreno, A., Valls, A., Isern, D., Marin, L., & Borràs, J. 2013. Sigtur/e-destination: ontology-based personalized recommendation of tourism and leisure activities. Engineering Applications of Artificial Intelligence, 26(1), 633--651.
[36]
Lock, Z. 2005. Performance and Flexibility of Stereotype-based User Models (Doctoral dissertation, University of York).
[37]
Rich, E. 1989. Stereotypes and user modeling. In User models in dialog systems (pp. 35--51). Springer Berlin Heidelberg.
[38]
Beel, J., Langer, S., Kapitsaki, G., Breitinger, C., & Gipp, B. 2015. Exploring the potential of user modeling based on mind maps. In International Conference on User Modeling, Adaptation, and Personalization (pp. 3--17). Springer International Publishing.
[39]
Fernández-Tobías, I., Braunhofer, M., Elahi, M., Ricci, F., & Cantador, I. 2016. Alleviating the new user problem in collaborative filtering by exploiting personality information. User Modeling and User-Adapted Interaction, 26(2--3), 221--255.
[40]
Santos, F., Almeida, A., Martins, C., Oliveira, P., & Gonçalves, R. 2016. Tourism Recommendation System based in user's profile and functionality levels. In Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering (pp. 93--97). ACM.
[41]
Lorenzi, F., Loh, S., & Abel, M. 2011. PersonalTour: a recommender system for travel packages. In Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology-Volume 02 (pp. 333--336). IEEE Computer Society.
[42]
Gawinecki, M., Kruszyk, M., & Paprzycki, M. 2006. Ontology-based stereotyping in a travel support system. Annales Universitatis Mariae Curie-Sklodowska, sectio AI---Informatica, 4(1), 104--134.
[43]
Brusilovsky, P., & Millán, E. 2007. User models for adaptive hypermedia and adaptive educational systems. In The adaptive web (pp. 3--53). Springer Berlin Heidelberg.
[44]
Coelho, B., Martins, C., & Almeida, A. 2010. Web intelligence in tourism: User modeling and recommender system. In Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on (Vol. 1, pp. 619--622). IEEE.
[45]
Zhang, M., Tang, J., Zhang, X., & Xue, X. 2014. Addressing cold start in recommender systems: A semi-supervised co-training algorithm. In Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval (pp. 73--82). ACM.

Cited By

View all
  • (2018)Smart Tourism Platform Based on Microservice Architecture and Recommender ServicesMobile Web and Intelligent Information Systems10.1007/978-3-319-97163-6_14(167-180)Online publication date: 6-Aug-2018

Index Terms

  1. A user modeling approach to personalized sightseeing tours

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    Interacción '17: Proceedings of the XVIII International Conference on Human Computer Interaction
    September 2017
    268 pages
    ISBN:9781450352291
    DOI:10.1145/3123818
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 25 September 2017

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. clustering
    2. recommender systems
    3. stereotype
    4. user modeling

    Qualifiers

    • Research-article

    Conference

    Interacción '17

    Acceptance Rates

    Overall Acceptance Rate 109 of 163 submissions, 67%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 17 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2018)Smart Tourism Platform Based on Microservice Architecture and Recommender ServicesMobile Web and Intelligent Information Systems10.1007/978-3-319-97163-6_14(167-180)Online publication date: 6-Aug-2018

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media