{"id":28956749,"url":"https://github.com/cbjuan/paper-ieeeaccess-2017","last_synced_at":"2026-05-10T05:05:39.516Z","repository":{"id":94089500,"uuid":"103742731","full_name":"cbjuan/paper-ieeeAccess-2017","owner":"cbjuan","description":"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\"","archived":false,"fork":false,"pushed_at":"2020-02-06T10:35:04.000Z","size":2543,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-06-23T21:47:08.885Z","etag":null,"topics":["jupyter","jupyter-notebook","machine-learning","pandas","paper","research-paper","scikit-learn"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/cbjuan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2017-09-16T10:01:14.000Z","updated_at":"2020-02-06T10:35:07.000Z","dependencies_parsed_at":"2023-05-04T21:35:53.697Z","dependency_job_id":null,"html_url":"https://github.com/cbjuan/paper-ieeeAccess-2017","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/cbjuan/paper-ieeeAccess-2017","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbjuan%2Fpaper-ieeeAccess-2017","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbjuan%2Fpaper-ieeeAccess-2017/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbjuan%2Fpaper-ieeeAccess-2017/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbjuan%2Fpaper-ieeeAccess-2017/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cbjuan","download_url":"https://codeload.github.com/cbjuan/paper-ieeeAccess-2017/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cbjuan%2Fpaper-ieeeAccess-2017/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264139538,"owners_count":23563242,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["jupyter","jupyter-notebook","machine-learning","pandas","paper","research-paper","scikit-learn"],"created_at":"2025-06-23T21:40:38.409Z","updated_at":"2026-05-10T05:05:39.482Z","avatar_url":"https://github.com/cbjuan.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# paper-ieeeAccess-2017\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1009618.svg)](https://doi.org/10.5281/zenodo.1009618)\n\nJupyter 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\n\n## How to cite this repo\n \n ```\n @misc{\n      juan cruz-benito_andrea vázquez ingelmo_josé carlos sánchez-prieto_2017, \n      author={Juan Cruz-Benito and Andrea Vázquez Ingelmo and José Carlos Sánchez-Prieto}, \n      year={2017}, month={Oct},\n      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\".}, \n      DOI={10.5281/zenodo.1009618}, \n      abstractNote={\u003cp\u003eJupyter 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\u003c/p\u003e}, \n      publisher={Zenodo}\n      }\n ```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcbjuan%2Fpaper-ieeeaccess-2017","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcbjuan%2Fpaper-ieeeaccess-2017","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcbjuan%2Fpaper-ieeeaccess-2017/lists"}