ITravel: A recommender system in mobile peer-to-peer environment

Wan Shiou Yang, San Yih Hwang

Research output: Contribution to journalArticlepeer-review

85 Citations (Scopus)


Recommender systems in mobile tourism have attracted considerable interest during the past decade. However, most existing recommender systems in mobile tourism fail to exploit information, evaluations or ratings provided by other tourists of similar interests. In this research, we propose to facilitate attraction recommendation task by exploring other tourists' ratings on their visited attractions. The proposed approach employs mobile peer-to-peer communications for exchanging ratings via their mobile devices. A cost-effective travel recommender system - iTravel - thus is developed to provide tourists with on-tour attraction recommendation. We propose three data exchange methods that allow users to effectively exchange their ratings toward visited attractions. Simulated experiments are performed to evaluate the proposed data exchange methods and a user study is conducted to validate the usability of the proposed iTravel system.

Original languageEnglish
Pages (from-to)12-20
Number of pages9
JournalJournal of Systems and Software
Issue number1
Publication statusPublished - 2013 Jan 1

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture

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