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Analysis of Travellers’ Online Reviews in Social Networking Sites Using Fuzzy Logic Approach

  • Mehrbakhsh NilashiEmail author
  • Elaheh Yadegaridehkordi
  • Othman Ibrahim
  • Sarminah Samad
  • Ali Ahani
  • Louis Sanzogni
Article
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Abstract

Social media and digital technology have had significant contributions and impacts on the hospitality and accommodation businesses. Online traveller reviews have been rich sources of information for the traveller’s decision-making process in social media websites. TripAdvisor, a popular travel review site and social media platform, is mainly developed as a free business consultation service to help the travellers to make right decisions in their trips. The aim of this research is to use the multi-criteria ratings provided by the travellers in social media networking sites for developing a new recommender system for hotel recommendations in e-tourism platforms. We extend the crisp-based multi-criteria algorithms to fuzzy-based multi-criteria algorithms for finding the similarities between the travellers based on their provided ratings. To develop the recommendation method, we use clustering and prediction machine learning techniques. We evaluate the recommendation system on TripAdvisor data. Our experiments confirm that the use of clustering and prediction machine learning with the aid of fuzzy-based recommendation algorithms can significantly improve the quality of recommendations in tourism domain.

Keywords

Fuzzy logic Social networking site Multi-criteria CF TripAdvisor Travellers’ review Health tourism recommender systems 

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Copyright information

© Taiwan Fuzzy Systems Association 2019

Authors and Affiliations

  • Mehrbakhsh Nilashi
    • 1
    • 2
    Email author
  • Elaheh Yadegaridehkordi
    • 4
  • Othman Ibrahim
    • 5
  • Sarminah Samad
    • 6
  • Ali Ahani
    • 3
    • 7
    • 8
  • Louis Sanzogni
    • 7
  1. 1.Faculty of Information TechnologyTon Duc Thang UniversityHo Chi Minh CityVietnam
  2. 2.Halal Research Center of IRI, FDATehranIran
  3. 3.School of Computing, Faculty of EngineeringUniversiti Teknologi Malaysia (UTM)SkudaiMalaysia
  4. 4.Department of Information Systems, Faculty of Computer Science and Information TechnologyUniversity of MalayaKuala LumpurMalaysia
  5. 5.Azman Hashim International Business SchoolUniversiti Teknologi Malaysia (UTM)SkudaiMalaysia
  6. 6.Department of Business Administration, Collage of Business and AdministrationPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia
  7. 7.Department of Business Strategy and Innovation, Griffith Business SchoolGriffith UniversityBrisbaneAustralia
  8. 8.Department of Marketing, Griffith Business SchoolGriffith UniversityGold CoastAustralia

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