Context-Aware Tourism Recommender System Using Temporal Ontology and Naïve Bayes

  • Chakkrit Snae NamahootEmail author
  • Michael Brückner
  • Naruepon Panawong
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 361)


In this paper, we present a Context Aware Thai Tourism Recommender System (CAT-TOURS) that applies a complex Naïve Bayes Model with boundary values, tourism ontology for Thailand and a temporal ontology to support decision making in tourism. Promising results are presented in the form of precision, recall and F measure for Websites related to Thailand’s tourism industry. We compare the results with those gained with Latent Semantic Indexing (LSI).

This research was guided by the following aims: (1) find a simple method to classify Thai tourism Web documents that contain information on more than one topic, and (2) take into account time constraints in the process of making recommendations.


Recommender System Temporal ontology Tourism Naïve Bayes LSI 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Ceci, M.: Classifying Web documents in a hierarchy of categories: a comprehensive study. Journal of Intelligent Information Systems 28, 37–78 (2007)CrossRefGoogle Scholar
  2. 2.
    Rocchio, J.: Relevance feedback in information retrieval. In: The SMART Retrieval System: Experiments in Automatic Document Processing, pp. 313–323. Prentice Hall, Englewood Cliffs (1971)Google Scholar
  3. 3.
    Groza, A., Dragoste, I., Sincai, I., Jimborean, I., Moraru, V.: An ontology selec-tion and ranking system based on the Analytical Hierarchy Process. In: The 16th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing, Timisoara, Romania (2014)Google Scholar
  4. 4.
    McCallum, A., Nigam, K.: A Comparison of Event Models for Naïve Bayes Text Classification. Journal of Machine Learning Research 3, 1265–1287 (2003)Google Scholar
  5. 5.
    Beineke, P., Hastie, T., Vaithyanathan, T.: The sentimental factor: improving review classification via human-provided information. In: Proceedings of the 42nd Annual Meeting of Association for Computational Linguistics (ACL 2004), Barcelona, Spain. Association for Computational Linguistics (July 2004) (2014), doi:10.3115/1218955.1218989Google Scholar
  6. 6.
    Hemalatha, M., Uma, V., Aghila, G.: Time ontology with Reference Event based Temporal Relations (RETR). International Journal of Web and Semantic Technology 3(1), 23–31 (2012)CrossRefGoogle Scholar
  7. 7.
    Perventis, A.P., Polyxeni Marki, E., Petrakis, G.M., Sotirios, B.: CHRONOS: A Tool for Handling Temporal Ontologies in Protégé. In: IEEE 24th International Conference on Tools with Artificial Intelligence, pp. 460–467 (2012)Google Scholar
  8. 8.
    Eade, J.C.: The Calendrical Systems of South-East Asia. Leiden, Brill (1995) ISBN 9789004104372Google Scholar
  9. 9.
    Brückner, M.: Multilingual semantic modeling for cultural heritage organizations in ASEAN. ACM Journal of Computing and Cultural Heritage (in press, 2015)Google Scholar
  10. 10.
    Khan, A., Baharudin, B., Lee, L.H., Khan, K.: A review of machine learning algorithms for text-documents classification. Journal of Advances in Information Technology 1(1), 4–20 (2010)Google Scholar
  11. 11.
    Panawong, N., Snae Namahoot, C.: Performance Analysis of an Ontology-Based Tourism Information System with ISG Algorithm and Name Variation Matching. Naresuan University Science Journal 9(2), 47–64 (2013) (in Thai)Google Scholar
  12. 12.
    Panawong, N., Snae, C.: Search System for Attractions in Thailand with Ontolo-gy and Name Matching. Journal of Information Science and Technology 1(2), 60–69 (2010) (in Thai)Google Scholar
  13. 13.
    Siri, C.: Auspicious Thai calendar. Bangkok, Kurusapa Printing Ladphrao (2006)Google Scholar
  14. 14.
    Sadeghi Niaraki, A., Kim, K.: Ontology based personalized route planning system using a multi-criteria decision making approach. Expert Systems with Applications 36, 2250–2259 (2007)CrossRefGoogle Scholar
  15. 15.
    Zins, A.H., Bauernfeind, U., Messier, F.D., Venturini, A., Rumertshofer, H.: An experimental usability test for different destination recommender systems. In: Information and Communication Technologies in Tourism (ENTER), Cairo, Egypt, pp. 228–238. Springer (2004)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Chakkrit Snae Namahoot
    • 1
    Email author
  • Michael Brückner
    • 2
  • Naruepon Panawong
    • 3
  1. 1.Department of Computer Science and Information Technology, Faculty of ScienceNaresuan UniversityPhitsanulokThailand
  2. 2.Department of Educational Technology and Communication, Faculty of EducationNaresuan UniversityPhitsanulokThailand
  3. 3.Department of Applied Science, Faculty of Science and TechnologyNakhon Sawan Rajabhat UniversityNakhon SawanThailand

Personalised recommendations