The adaptive recommendation mechanism for distributed group in mobile environments

Sheng Tzong Cheng, Gwo Jiun Horng, Chih Lun Chou

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


Tourism navigation systems have become an important research area because they help people strengthen their focus on the quality of the tourism. This paper proposes an adaptive recommendation mechanism that rests on a congestion-aware scheduling method for multigroup travelers on multidestination travels. This recommendation scheme uses the pheromone mechanism of an ant algorithm for group system distribution. In order to reduce congestion in the visiting multiple destinations problem that might beset the multiple groups, we present a tour group that could take adaptive recommendations from a system that would yield a high quality tour experience, wherein the group would visit a secondary destination first and then visit the primary destination. Simulation results reveal the strengths of the proposed adaptive recommendation mechanism model in terms of decreasing average waiting time, congestion, and the ratio of congestion avoiding to number of groups.

Original languageEnglish
Article number6330047
Pages (from-to)1081-1092
Number of pages12
JournalIEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews
Issue number6
Publication statusPublished - 2012 Oct 29

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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