Name
Abstract | ||
|---|---|---|
•A context-aware personalized path inference model is proposed.•The model incorporates both the road average speeds and the personal preferences.•An EM based learning technique is proposed to discover the road average speeds.•Matrix factorization is used to extract the personal preferences.•Experiments were carried out on real world databases yielding better performance. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2017.08.027 | Expert Systems with Applications |
Keywords | Field | DocType |
Path inference,Context-aware,Personalization,Conditional random field,EM | Conditional random field,Data mining,Computer science,Inference,Exploit,Location data,Artificial intelligence,Global Positioning System,Graphical model,Unified Model,Machine learning,Personalization | Journal |
Volume | ISSN | Citations |
91 | 0957-4174 | 1 |
PageRank | References | Authors |
0.35 | 27 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongtao Wang | 1 | 11 | 5.68 |
| Hongmei Wang | 2 | 31 | 13.44 |
| Feng Yi | 3 | 8 | 3.95 |
| Hui Wen | 4 | 8 | 4.31 |
| Gang Li | 5 | 381 | 62.77 |
| Sun Limin | 6 | 467 | 65.09 |