Conference Proceedings

Personalized tour recommendation based on user interests and points of interest visit durations

KH Lim, J Chan, C Leckie, S Karunasekera

IJCAI International Joint Conference on Artificial Intelligence | International Joint Conference on Artificial Intelligence | Published : 2015

Abstract

Tour recommendation and itinerary planning are challenging tasks for tourists, due to their need to select Points of Interest (POI) to visit in unfamiliar cities, and to select POIs that align with their interest preferences and trip constraints. We propose an algorithm called PERSTOUR for recommending personalized tours using POI popularity and user interest preferences, which are automatically derived from real-life travel sequences based on geotagged photos. Our tour recommendation problem is modelled using a formulation of the Orienteering problem, and considers user trip constraints such as time limits and the need to start and end at specific POIs. In our work, we also reflect levels o..

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Grants

Funding Acknowledgements

National ICT Australia (NICTA) is funded by the Australian Government through the Department of Communications and the Australian Research Council through the ICT Centre of Excellence Program.