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Predicting Customer Revenue in E-commerce Using Machine Learning a Case Study of the Google Merchandise Store

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Al-Azhar University – Gaza
Abunasser B.S.; Abu-Naser S.S.
Abunasser, Basem S. (57841947400); Abu-Naser, Samy S. (26533902900)
57841947400; 26533902900
2024
Lecture Notes on Data Engineering and Communications Technologies
Predicting Customer Revenue in E-commerce Using Machine Learning a Case Study of the Google Merchandise Store
210
27
38
Springer Science and Business Media Deutschland GmbH
University Malaysia of Computer Science and Engineering (UNIMY), Cyberjaya, Malaysia; Data Science, Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
Abunasser B.S., University Malaysia of Computer Science and Engineering (UNIMY), Cyberjaya, Malaysia; Abu-Naser S.S., Data Science, Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
S.S. Abu-Naser; Data Science, Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine; email: abunaser@alazhar.edu.ps
0
10.1007/978-3-031-59711-4_3
Customer Revenue Machine ; Deep Learning; E-commerce; Google Merchandise
Deep learning; Errors; Forecasting; Learning algorithms; Learning systems; Mean square error; Sales; Case-studies; Customer revenue machine; Deep learning; E- commerces; Google Analytics; Google merchandise; Google+; Machine learning algorithms; Machine-learning; Research papers; Electronic commerce