Name
Abstract | ||
|---|---|---|
Next Point-of-Interest (POI) recommendation which is of great value to both users and POI holders is a challenging task since complex sequential patterns and rich contexts are contained in extremely sparse user check-in data. Recently proposed embedding techniques have shown promising results in alleviating the data sparsity issue by modeling context information, and Recurrent Neural Network (RNN)... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TKDE.2020.3007194 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | DocType | Volume |
Logic gates,Context modeling,Data models,Recurrent neural networks,Task analysis,Markov processes | Journal | 34 |
Issue | ISSN | Citations |
5 | 1041-4347 | 2 |
PageRank | References | Authors |
0.37 | 14 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pengpeng Zhao | 1 | 111 | 30.91 |
| Anjing Luo | 2 | 2 | 0.37 |
| Yanchi Liu | 3 | 698 | 45.70 |
| Fuzhen Zhuang | 4 | 827 | 75.28 |
| Jiajie Xu | 5 | 58 | 10.08 |
| Zhixu Li | 6 | 210 | 43.55 |
| Victor S. Sheng | 7 | 1511 | 108.09 |
| Xiaofang Zhou | 8 | 5381 | 342.70 |