Published October 12, 2017
| Version 1.0
Software
Open
Code repository that supports the research presented in the paper "Enabling adaptability in web forms based on user characteristics detection through A/B testing and Machine Learning".
- 1. GRIAL Research Group , Department of Computers and Automatics, University of Salamanca
- 2. GRIAL Research Group , Research Institute for Educational Sciences, University of Salamanca
Description
Jupyter notebooks developed to support the research presented in the paper "Enabling adaptability in web forms based on user characteristics detection through A/B testing and Machine Learning" presented to the IEEE Access Journal in 2017 by Juan Cruz-Benito, Andrea Vázquez-Ingelmo, José Carlos Sánchez-Prieto, Francisco José García-Peñalvo, Roberto Therón and Martín Martín-González
Files
juan-cb/paper-ieeeAccess-2017-1.0.zip
Files
(2.6 MB)
Name | Size | Download all |
---|---|---|
md5:f5590651d21205adcef0e311b88c5691
|
2.6 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/juan-cb/paper-ieeeAccess-2017/tree/1.0 (URL)