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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"

cbjuan/paper-ieeeAccess-2017

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paper-ieeeAccess-2017

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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={<p>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</p>}, 
     publisher={Zenodo}
     }

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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"

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