A tourist spots recommendation system for ATIS

Mu Chun Su, Chao Yu Chen, Yu Xiang Zhao, De Yuan Huang

Research output: Contribution to journalReview articlepeer-review


The goal of Advanced Traveler Information Systems (ATIS) is to provide travelers with the information required to efficiently and effectively complete a desired trip. Recommendation systems are a kind of web intelligence techniques to make daily information filtering for people. In this paper, we propose a tourist spots recommendation system, which is able to learn personal preferences of users and provide tailored suggestions to users, to help travelers to plan their sightseeing tours. Tourist spots which meet the travelers' preferences will be suggested by the proposed recommendation system.

Original languageEnglish
Pages (from-to)94-98
Number of pages5
JournalInternational Journal of Fuzzy Systems
Issue number2
StatePublished - Jun 2005


  • Advanced Traveler Information Systems
  • Computational intelligence
  • Optimization algorithm
  • Recommendation system
  • Self-organizing feature map


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