Hierarchical Spatial Data Structures
SSD '89 Proceedings of the First Symposium on Design and Implementation of Large Spatial Databases
PILGRIM: A Location Broker and Mobility-Aware Recommendation System
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
WhereNext: a location predictor on trajectory pattern mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning travel recommendations from user-generated GPS traces
ACM Transactions on Intelligent Systems and Technology (TIST)
CityVoyager: an outdoor recommendation system based on user location history
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
How random walks can help tourism
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
A trajectory-based recommender system for tourism
AMT'12 Proceedings of the 8th international conference on Active Media Technology
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This paper presents a recommender system that provides personalized information about locations of potential interest to a tourist. The system generates suggestions, consisting of touristy places, according to the current position and history data describing the tourist movements. For the selection of tourist sites, the system uses a set of points of interest a priori identified. We evaluate our system on two datasets: a real and a synthetic one, both storing trajectories describing previous movements of tourists. The proposed solution has high applicability and the results show that the solution is both efficient and viable.