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The Recommendation Method for Hotel Selection Under Traveller Preference Characteristics: A Cloud-Based Multi-Criteria Group Decision Support Model

Author

Listed:
  • Xiao-kang Wang

    (Central South University)

  • Sheng-hui Wang

    (Central South University)

  • Hong-yu Zhang

    (Central South University)

  • Jian-qiang Wang

    (Central South University)

  • Lin Li

    (Hunan University)

Abstract

The research provides a multi-criteria group decision support model for hotel selection according to traveller preference characteristics. Specifically, the study attempts to identify characteristic preferences among travellers through online reviews and then generate recommendation lists under these characteristics. Utilizing a sample of 48,756 online reviews on TripAdvisor.com, the research exploits natural language processing to acquire high-frequency feature words and employs these features to group online reviews for filtering unrelated ones. Subsequently, online reviews and fuzzy theory are combined to develop a decision support model, by utilising the information of user ratings and text comments. In addition, the related extension of the theoretic knowledge is presented. The findings demonstrate that, hotel quality varies under different characteristics and a comprehensive evaluation of hotels would encounter difficulty meeting travellers’ demands, and the proposed model exhibits great performance in addressing this condition. The study can enable travellers to make a satisfactory hotel selection that matches their expectation to a high degree and also provides implications for hoteliers to understand tourist preferences and for tourism websites to optimize management strategies.

Suggested Citation

  • Xiao-kang Wang & Sheng-hui Wang & Hong-yu Zhang & Jian-qiang Wang & Lin Li, 2021. "The Recommendation Method for Hotel Selection Under Traveller Preference Characteristics: A Cloud-Based Multi-Criteria Group Decision Support Model," Group Decision and Negotiation, Springer, vol. 30(6), pages 1433-1469, December.
    • Handle: RePEc:spr:grdene:v:30:y:2021:i:6:d:10.1007_s10726-021-09735-0
    DOI: 10.1007/s10726-021-09735-0
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    References listed on IDEAS

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    2. Xiao-Kang Wang & Wen-Hui Hou & Chao Song & Min-Hui Deng & Yong-Yi Li & Jian-Qiang Wang, 2021. "BW-MaxEnt: A Novel MCDM Method for Limited Knowledge," Mathematics, MDPI, vol. 9(14), pages 1-17, July.
    3. Min Zhu & Wenbo Zhou & Min Hu & Juan Du & Tengfei Yuan, 2023. "Evaluating the Renewal Degree for Expressway Regeneration Projects Based on a Model Integrating the Fuzzy Delphi Method, the Fuzzy AHP Method, and the TOPSIS Method," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
    4. Zhiping Hou & Sangsang He & Ruxia Liang & Junbo Li & Ruilu Huang & Jianqiang Wang, 2023. "Evaluating Economy Hotel Website Service Quality: A Hybrid Bounded Rationality Behavioral Decision Support Model," Mathematics, MDPI, vol. 11(12), pages 1-18, June.
    5. Jia-Li Chang & Hui Li & Jian Wu, 2023. "How Tourist Group Books Hotels Meeting the Majority Affective Expectations: A Group Selection Frame with Kansei Text Mining and Consensus Coordinating," Group Decision and Negotiation, Springer, vol. 32(2), pages 327-358, April.
    6. He-Wei Liu & Yi-Ting Wang & Xiao-Kang Wang & Ye Liu & Yan Liu & Xue-Yang Zhang & Fei Xiao, 2023. "Cloud Model-Based Fuzzy Inference System for Short-Term Traffic Flow Prediction," Mathematics, MDPI, vol. 11(11), pages 1-17, May.
    7. Weiwen Li & Yijiang Zhou & Xingan Dai & Fang Hu, 2022. "Evaluation of Rural Tourism Landscape Resources in Terms of Carbon Neutrality and Rural Revitalization," Sustainability, MDPI, vol. 14(5), pages 1-22, March.

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