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Trajectory-User Linking via Variational AutoEncoder
2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Trajectory-User Linking (TUL) is an essential task in Geo-tagged social media (GTSM) applications, enabling personalized Point of Interest (POI) recommendation and activity identification. Existing works on mining mobility patterns often model trajectories using Markov Chains (MC) or recurrent neural networks (RNN) -- either assuming independence between non-adjacent locations or following a shallow generation process. However, most of them ignore the fact that human trajectories are often
doi:10.24963/ijcai.2018/446
dblp:conf/ijcai/0002GTZZZ18
fatcat:nygjb5747rf3nect5clx46higu