IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2020i1p2-d467710.html
   My bibliography  Save this article

Tourist Recommender Systems Based on Emotion Recognition—A Scientometric Review

Author

Listed:
  • Luz Santamaria-Granados

    (Facultad de Ingeniería de Sistemas, Universidad Santo Tomás Seccional Tunja, Calle 19 No. 11-64, Tunja, Boyaca 150001, Colombia)

  • Juan Francisco Mendoza-Moreno

    (Facultad de Ingeniería de Sistemas, Universidad Santo Tomás Seccional Tunja, Calle 19 No. 11-64, Tunja, Boyaca 150001, Colombia)

  • Gustavo Ramirez-Gonzalez

    (Departamento de Telemática, Universidad del Cauca, Calle 5, No. 4-70, Popayan, Cauca 190002, Colombia)

Abstract

Recommendation systems have overcome the overload of irrelevant information by considering users’ preferences and emotional states in the fields of tourism, health, e-commerce, and entertainment. This article reviews the principal recommendation approach documents found in scientific databases (Elsevier’s Scopus and Clarivate Web of Science) through a scientometric analysis in ScientoPy. Research publications related to the recommenders of emotion-based tourism cover the last two decades. The review highlights the collection, processing, and feature extraction of data from sensors and wearables to detect emotions. The study proposes the thematic categories of recommendation systems, emotion recognition, wearable technology, and machine learning. This paper also presents the evolution, trend analysis, theoretical background, and algorithmic approaches used to implement recommenders. Finally, the discussion section provides guidelines for designing emotion-sensitive tourist recommenders.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jftint:v:13:y:2020:i:1:p:2-:d:467710
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/1/2/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/13/1/2/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jun Zeng & Feng Li & Yinghua Li & Junhao Wen & Yingbo Wu, 2017. "Exploring the Influence of Contexts for Mobile Recommendation," International Journal of Web Services Research (IJWSR), IGI Global, vol. 14(4), pages 33-49, October.
    2. 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.
    3. Animesh Chandra Roy & Mohammad Shamsul Arefin & A. S. M. Kayes & Mohammad Hammoudeh & Khandakar Ahmed, 2020. "An Empirical Recommendation Framework to Support Location-Based Services," Future Internet, MDPI, vol. 12(9), pages 1-20, September.
    4. Matthias Braunhofer & Francesco Ricci, 2017. "Selective contextual information acquisition in travel recommender systems," Information Technology & Tourism, Springer, vol. 17(1), pages 5-29, March.
    5. Li, Yunpeng & Hu, Clark & Huang, Chao & Duan, Liqiong, 2017. "The concept of smart tourism in the context of tourism information services," Tourism Management, Elsevier, vol. 58(C), pages 293-300.
    6. Federica Cena & Amon Rapp & Silvia Likavec & Alessandro Marcengo, 2018. "Envisioning the Future of Personalization Through Personal Informatics: A User Study," International Journal of Mobile Human Computer Interaction (IJMHCI), IGI Global, vol. 10(1), pages 52-66, January.
    7. Fernando Reinaldo Ribeiro & Arlindo Silva & Fernando Barbosa & Ana Paula Silva & José Carlos Metrôlho, 2018. "Mobile applications for accessible tourism: overview, challenges and a proposed platform," Information Technology & Tourism, Springer, vol. 19(1), pages 29-59, June.
    8. Ram, Y. & Björk, P. & Weidenfeld, A., 2016. "Authenticity and place attachment of major visitor attractions," Tourism Management, Elsevier, vol. 52(C), pages 110-122.
    9. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    10. Dimitrios Buhalis & Aditya Amaranggana, 2015. "Smart Tourism Destinations Enhancing Tourism Experience Through Personalisation of Services," Springer Books, in: Iis Tussyadiah & Alessandro Inversini (ed.), Information and Communication Technologies in Tourism 2015, edition 127, pages 377-389, Springer.
    11. Federica Cena & Silvia Likavec & Amon Rapp, 2019. "Real World User Model: Evolution of User Modeling Triggered by Advances in Wearable and Ubiquitous Computing," Information Systems Frontiers, Springer, vol. 21(5), pages 1085-1110, October.
    12. 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)

    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. 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.
    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. Sustacha, Inés & Baños Pino, José Francisco & del Valle, Eduardo, 2022. "Research trends in technology in the context of smart destinations: a bibliometric analysis and network visualization," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    4. Sunyoung Hlee & Hanna Lee & Chulmo Koo, 2018. "Hospitality and Tourism Online Review Research: A Systematic Analysis and Heuristic-Systematic Model," Sustainability, MDPI, vol. 10(4), pages 1-27, April.
    5. 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).
    6. Donglin Han & Huiying (Cynthia) Hou & Hao Wu & Joseph H. K. Lai, 2021. "Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    7. 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.
    8. 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.
    9. Pam Lee & William Cannon Hunter & Namho Chung, 2020. "Smart Tourism City: Developments and Transformations," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    10. Meena Kumari Pradhan & Jungjoo Oh & Hwansoo Lee, 2018. "Understanding Travelers’ Behavior for Sustainable Smart Tourism: A Technology Readiness Perspective," Sustainability, MDPI, vol. 10(11), pages 1-20, November.
    11. Pedro Lopes & Luís Almeida & João Pinto & Justino Jesus & Didiana Fernandes & Isabel Vieira & Ricardo Gama, 2019. "Open Tourist Information System: a platform for touristic information management and outreach," Information Technology & Tourism, Springer, vol. 21(4), pages 577-593, December.
    12. Zabih-Allah Torabi & Ali Asghar Shalbafian & Zaheer Allam & Zahed Ghaderi & Beniamino Murgante & Amir Reza Khavarian-Garmsir, 2022. "Enhancing Memorable Experiences, Tourist Satisfaction, and Revisit Intention through Smart Tourism Technologies," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    13. Dongwook Kim & Sungbum Kim, 2017. "The Role of Mobile Technology in Tourism: Patents, Articles, News, and Mobile Tour App Reviews," Sustainability, MDPI, vol. 9(11), pages 1-45, November.
    14. Ben Haobin Ye & Huiyue Ye & Rob Law, 2020. "Systematic Review of Smart Tourism Research," Sustainability, MDPI, vol. 12(8), pages 1-15, April.
    15. Li Zhao & Zhi-ying Tang & Xin Zou, 2019. "Mapping the Knowledge Domain of Smart-City Research: A Bibliometric and Scientometric Analysis," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    16. Andreas Komninos & Jeries Besharat & Denzil Ferreira & John Garofalakis & Vassilis Kostakos, 2017. "Where’s everybody? Comparing the use of heatmaps to uncover cities’ tacit social context in smartphones and pervasive displays," Information Technology & Tourism, Springer, vol. 17(4), pages 399-427, December.
    17. 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.
    18. Sabou Gabriel-Cristian & Maiorescu Irina, 2020. "The Challenges of Smart Tourism: A Case of Bucharest," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 30(2), pages 70-82, June.
    19. Jacob Wood & Gohar Feroz Khan, 2015. "International trade negotiation analysis: network and semantic knowledge infrastructure," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 537-556, October.
    20. Yingjin Song & Ruiyi Li & Guanyi Chen & Beibei Yan & Lei Zhong & Yuxin Wang & Yihang Li & Jinlei Li & Yingxiu Zhang, 2021. "Bibliometric Analysis of Current Status on Bioremediation of Petroleum Contaminated Soils during 2000–2019," IJERPH, MDPI, vol. 18(16), pages 1-20, August.

    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:gam:jftint:v:13:y:2020:i:1:p:2-:d:467710. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.