Name
Abstract | ||
|---|---|---|
Akin to human transfer of experiences, transfer learning as a subfield of machine learning adapts knowledge acquired in one domain to a new domain. The authors systematically investigate how this concept might be applied to the study of users on emerging Web platforms, proposing a transfer learning-based approach, TraNet. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MC.2018.2701640 | Computer |
Keywords | Field | DocType |
Feature extraction,Machine learning,Knowledge engineering,Task analysis,Data models,Data mining | Web science,Social network,Intelligent decision support system,Task analysis,Software engineering,Computer science,Transfer of learning,Feature extraction,Human–computer interaction,Knowledge engineering,The Internet | Journal |
Volume | Issue | ISSN |
51 | 6 | 0018-9162 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Sun | 1 | 1 | 0.69 |
| Steffen Staab | 2 | 6658 | 593.89 |
| Jérôme Kunegis | 3 | 874 | 51.20 |