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      • 2008 Working Papers
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      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 2008 Working Papers
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      Trust-based recommendations for mobile tourists in TIP

      Quan, Qiu; Hinze, Annika
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      Quan, Q., & Hinze, A. (2008). Trust-based recommendations for mobile tourists in TIP (Computer Science Working Papers 13/2008). Hamilton, New Zealand: Department of Computer Science, The University of Waikato.
      Permanent Research Commons link: https://hdl.handle.net/10289/9907
      Abstract
      Recommender systems aim to suggest to users items they would like. However, concerns about the reliability of information from unknown recommenders influences user acceptance. In this paper, we analyse trust-based recommendations for the tourist information system TIP. We believe that the recommender strategy is closely related to the information domain applied. So, the delivered trust-based tourist recommendations have combined peers’ ratings on sights, trust computations and geographical constraints. We create two trust propagation models to spread trust in the TIP community. Three Trust based and location-aware filtering algorithms are implemented. According to research on feasibilities of trust in recommendation fields, three collaborative filtering algorithms in TIP are improved by introducing the trust concept.
      Date
      2008
      Type
      Working Paper
      Series
      Computer Science Working Papers
      Report No.
      13/2008
      Publisher
      Department of Computer Science, The University of Waikato
      Rights
      © 2008 Qiu Quan & Annika Hinze
      Collections
      • 2008 Working Papers [14]
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