Learning travel recommendations from user-generated GPS traces

  title={Learning travel recommendations from user-generated GPS traces},
  author={Yu Zheng and Xing Xie},
  journal={ACM TIST},
The advance of GPS-enabled devices allows people to record their location histories with GPS traces, which imply human behaviors and preferences related to travel. In this article, we perform two types of travel recommendations by mining multiple users' GPS traces. The first is a generic one that recommends a user with top interesting locations and travel sequences in a given geospatial region. The second is a personalized recommendation that provides an individual with locations matching her… CONTINUE READING
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