Name
Abstract | ||
|---|---|---|
The number and popularity of smartphone applications is rising dramatically. Users install and use applications depending on their needs and interests. Applications on smartphones convey lots of personal information, providing us a new lens to well profile users. In this paper, we first describe application information for user profiling. Second, we analyze what types of user information can be profiled from smartphone applications. Then, we overview the previous work and summarize the state-of-the-art methods for profiling users from application data. We also describe implications from different perspectives. Finally, the challenges in profiling users from smartphone applications are discussed. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.pmcj.2019.101052 | Pervasive and Mobile Computing |
Keywords | DocType | Volume |
User profiling,Smartphone applications,Mobile sensing | Journal | 59 |
ISSN | Citations | PageRank |
1574-1192 | 4 | 0.37 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sha Zhao | 1 | 48 | 9.96 |
| Shijian Li | 2 | 1155 | 69.34 |
| Julián Ramos | 3 | 23 | 2.09 |
| Zhiling Luo | 4 | 38 | 8.77 |
| Ziwen Jiang | 5 | 36 | 2.31 |
| Anind Dey | 6 | 11484 | 959.91 |
| Gang Pan | 7 | 1501 | 123.57 |