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Mining GPS Data for Trajectory Recommendation
[chapter]
2014
Lecture Notes in Computer Science
The wide use of GPS sensors in smart phones encourages people to record their personal trajectories and share them with others in the Internet. A recommendation service is needed to help people process the large quantity of trajectories and select potentially interesting ones. The GPS trace data is a new format of information and few works focus on building user preference profiles on it. In this work we proposed a trajectory recommendation framework and developed three recommendation methods,
doi:10.1007/978-3-319-06605-9_5
fatcat:f2nwvmx3vzcnrmp2hm6vtv6svy