Location-Based Hotel Recommendation System

  • Chien-Liang ChenEmail author
  • Ching-Sheng Wang
  • Ding-Jung Chiang
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 264)


In recent years, the hotel industry in Taiwan has begun to flourish as the economy has grown. In order to attract more tourists to make changes in various services and facilities, the hotel’s types have begun to make a difference. However, the content of the website is full of personal subjective or unilateral information, which is easy for tourists to lose in it or waste a lot of time cost. Therefore, we hope to provide more comprehensive hotel recommendations and use the traditional recommendation technology combined with location-based services to make recommendations. Different from the conventional recommendation, only comprehensive factors are considered. The study included three individual factors – service, price, facility to do a single rating and combined with the location of the tourist to make recommendations so that the recommendations can be closer to the needs of tourists. We selected 50 high-profile hotels, including five categories of mountain, sea, hot springs, theme parks, and resort hotels. Through the recommendation system, we recommend hotels that have not yet been lived by tourists, as a list of hotels to choose from it.


Location-based services Recommendation system 


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Chien-Liang Chen
    • 1
    Email author
  • Ching-Sheng Wang
    • 1
  • Ding-Jung Chiang
    • 2
  1. 1.Department of Computer Science and Information EngineeringAletheia UniversityNew Taipei CityTaiwan
  2. 2.Department of Digital Multimedia DesignTaipei Chengshih University of Science and TechnologyTaipeiTaiwan

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