Name
Abstract | ||
|---|---|---|
The widespread use of positioning devices has given rise to many trajectories, with each having three explicit attributes: user ID, location ID, and time-stamp and an implicit attribute: activity type (akin to “topic” in text mining). To model these trajectories, existing works learn different attribute representations by either introducing latent activity types based o... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TKDE.2020.3001025 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | DocType | Volume |
Trajectory,Semantics,Tensors,Task analysis,Data models,Context modeling,Collaborative work | Journal | 34 |
Issue | ISSN | Citations |
4 | 1041-4347 | 0 |
PageRank | References | Authors |
0.34 | 22 | 5 |