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Predicting User Behavior in e-Commerce Using Machine Learning Cover

Predicting User Behavior in e-Commerce Using Machine Learning

Cybernetics and Information Technologies
Volume 23 (2023): Issue 3 (September 2023)
By: Rumen Ketipov,  Vera Angelova,  Lyubka Doukovska and  Roman Schnalle  
Open Access
|Sep 2023
Authors

Authors

Rumen Ketipov

rketipov@iit.bas.bg

Institute of Information and Communication Technologies - Bulgarian Academy of Sciences, Sofia, Bulgaria

Vera Angelova

vera.angelova@iict.bas.bg

Institute of Information and Communication Technologies - Bulgarian Academy of Sciences, Sofia, Bulgaria

Lyubka Doukovska

lyubka.doukovska@iict.bas.bg

Institute of Information and Communication Technologies - Bulgarian Academy of Sciences, Sofia, Bulgaria

Roman Schnalle

roman.schnalle@uni-bielefeld.de

Bielefeld University, Bielefeld, Germany
DOI: https://doi.org/10.2478/cait-2023-0026 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 89 - 101
Submitted on: Jul 10, 2023
Accepted on: Aug 30, 2023
Published on: Sep 28, 2023
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Machine learning,
Personality,
Big Five,
Human factors,
User behavior,
Decision making,
e-Commerce
Related subjects:
Computer sciences,
Information technology

© 2023 Rumen Ketipov, Vera Angelova, Lyubka Doukovska, Roman Schnalle, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 23 (2023): Issue 3 (September 2023)
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