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      • Computer Science Working Paper Series
      • 2005 Working Papers
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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 2005 Working Papers
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      Advanced recommendations in a mobile tourist information system

      Junmanee, Saijai; Hinze, Annika
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      Junmanee, S. & Hinze, A. (2005). Advanced recommendations in a mobile tourist information system. (Working paper series. University of Waikato, Department of Computer Science. No. 04/2005). Hamilton, New Zealand: University of Waikato.
      Permanent Research Commons link: https://hdl.handle.net/10289/97
      Abstract
      An advanced tourist information provider system delivers information regarding sights and events on their users' travel route. In order to give sophisticated personalized information about tourist attractions to their users, the system is required to consider base data which are user preferences defined in their user profiles, user context, sights context, user travel history as well as their feedback given to the sighs they have visited. In

      addition to sights information, recommendation on sights to the user could also be provided. This project concentrates on combinations of knowledge on recommendation systems and base information given by the users to build a recommendation component in the Tourist Information Provider or TIP system. To accomplish our goal, we not only examine several tourist information systems but also conduct the investigation on recommendation systems. We propose a number of approaches for advanced recommendation models in a tourist information system and select a subset of these for implementation to prove the concept.
      Date
      2005-01-01
      Type
      Working Paper
      Publisher
      Department of Computer Science, University of Waikato
      Collections
      • 2005 Working Papers [9]
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