A mobile tourist assistance and recommendation system based on complex networks

  • Authors:
  • Alf-Christian Schering;Martin Dueffer;Andreas Finger;Ilvio Bruder

  • Affiliations:
  • University of Rostock, Rostock, Germany;University of Rostock, Rostock, Germany;IT Science Center Ruegen, Putbus, Germany;IT Science Center Ruegen, Putbus, Germany

  • Venue:
  • Proceedings of the 1st ACM international workshop on Complex networks meet information & knowledge management
  • Year:
  • 2009

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Abstract

In recent years, the tourism assistance community is gradually shifting its emphasis to digital, interactive systems. Our project aims for digital tourism assistance by combining mobile guiding and route recommendation based on community networks. We use complex networks to tackle problems, such as deriving optimal routes in conjunction with knowledge deduced from our social tourist network, and giving a respectable prediction of which meta- and multimedia data about touristic objects are needed while the tourist is on tour. This article describes ongoing work on the recommendation system and mobile semantic replication strategies.