PersTour: A Personalized Tour Recommendation and Planning System

نویسندگان

  • Kwan Hui Lim
  • Xiaoting Wang
  • Jeffrey Chan
  • Shanika Karunasekera
  • Christopher Leckie
  • Yehui Chen
  • Cheong Loong Tan
  • Fu Quan Gao
  • Teh Ken Wee
چکیده

Touring is a popular but time-consuming activity, due to the need to identify interesting attractions or Places-of-Interest (POIs) and structure these POIs in the form of a timeconstrained tour itinerary. To solve this challenge, we propose the Personalized Tour Recommendation and Planning (PersTour) system. The PersTour system is able to plan for a customized tour itinerary where the recommended POIs and visit durations are personalized based on the tourist’s interest preferences. In addition, tourists have the option to indicate their trip constraints (e.g., a preferred starting/ending location and a specific tour duration) to further customize their tour itinerary.

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تاریخ انتشار 2016