https://github.com/cbjuan/paper-ieeeaccess-2017

Jupyter notebooks developed to support the research presented in the paper "Enabling adaptivity in web forms based on user characteristics detection through A/B testing and Machine Learning"
https://github.com/cbjuan/paper-ieeeaccess-2017

jupyter jupyter-notebook machine-learning pandas paper research-paper scikit-learn

Last synced: about 1 month ago
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Jupyter notebooks developed to support the research presented in the paper "Enabling adaptivity in web forms based on user characteristics detection through A/B testing and Machine Learning"

• Host: GitHub
• URL: https://github.com/cbjuan/paper-ieeeaccess-2017
• Owner: cbjuan
• Created: 2017-09-16T10:01:14.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2020-02-06T10:35:04.000Z (over 6 years ago)
• Last Synced: 2025-06-23T21:47:08.885Z (12 months ago)
• Topics: jupyter, jupyter-notebook, machine-learning, pandas, paper, research-paper, scikit-learn
• Language: Jupyter Notebook
• Size: 2.43 MB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# paper-ieeeAccess-2017

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1009618.svg)](https://doi.org/10.5281/zenodo.1009618)

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

## How to cite this repo

 

 ```

 @misc{

      juan cruz-benito_andrea vázquez ingelmo_josé carlos sánchez-prieto_2017, 

      author={Juan Cruz-Benito and Andrea Vázquez Ingelmo and José Carlos Sánchez-Prieto}, 

      year={2017}, month={Oct},

      title={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".}, 

      DOI={10.5281/zenodo.1009618}, 

      abstractNote={
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
}, 

      publisher={Zenodo}

      }

 ```