Name
Title | ||
|---|---|---|
Gender Profiling From a Single Snapshot of Apps Installed on a Smartphone: An Empirical Study. |
Abstract | ||
|---|---|---|
The integration of the fifth generation (5G) networks and artificial intelligence (AI) benefits to create a more holistic and better connected ecosystem for industries. User profiling has become an important issue for industries to improve company profit. In the 5G era, smartphone applications have become an indispensable part in our everyday lives. Users determine what apps to install based on th... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TII.2019.2938248 | IEEE Transactions on Industrial Informatics |
Keywords | Field | DocType |
Feature extraction,5G mobile communication,Social networking (online),Smart phones,Web search,Artificial intelligence,Industries | Data science,Profiling (computer programming),Computer science,Real-time computing,Snapshot (computer storage),Empirical research | Journal |
Volume | Issue | ISSN |
16 | 2 | 1551-3203 |
Citations | PageRank | References |
2 | 0.35 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sha Zhao | 1 | 48 | 9.96 |
| Yizhi Xu | 2 | 2 | 0.35 |
| Xiaojuan Ma | 3 | 325 | 49.27 |
| Ziwen Jiang | 4 | 36 | 2.31 |
| Zhiling Luo | 5 | 38 | 8.77 |
| Shijian Li | 6 | 1155 | 69.34 |
| Laurence Tianruo Yang | 7 | 30 | 4.05 |
| Anind Dey | 8 | 11484 | 959.91 |
| Gang Pan | 9 | 1501 | 123.57 |