Analysing the Effect of Platform and Operating System Features on Predicting Consumers’ Purchase Intent using Machine Learning Algorithms

Ramazan Esmeli, Alaa Mohasseb, Mohamed Bader-El-Den

2020

Abstract

Predicting future consumer browsing and purchase behaviour has become crucial to many marketing platforms. Consumer purchase intention is one of the main inputs used as a measurement for consumer demand for new products. In addition, identifying consumers’ purchase intent play an important role in recommender systems. In this paper, the effect of using different platforms on users’ behaviours is explored. In addition, the effect of users’ platforms and their purchase intentions behaviours are investigated. We conduct computational experiments using different machine learning algorithms in order to investigate the using users’ operating system and platform types as features. The results showed that the users’ purchase intentions and behaviours are correlated with these features.

Paper Citation

in Harvard Style

Esmeli R., Mohasseb A. and Bader-El-Den M. (2020). Analysing the Effect of Platform and Operating System Features on Predicting Consumers’ Purchase Intent using Machine Learning Algorithms. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 1: KDIR; ISBN 978-989-758-474-9, SciTePress, pages 333-340. DOI: 10.5220/0010176803330340

in Bibtex Style

@conference{kdir20,
author={Ramazan Esmeli and Alaa Mohasseb and Mohamed Bader-El-Den},
title={Analysing the Effect of Platform and Operating System Features on Predicting Consumers’ Purchase Intent using Machine Learning Algorithms},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 1: KDIR},
year={2020},
pages={333-340},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010176803330340},
isbn={978-989-758-474-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 1: KDIR
TI - Analysing the Effect of Platform and Operating System Features on Predicting Consumers’ Purchase Intent using Machine Learning Algorithms
SN - 978-989-758-474-9
AU - Esmeli R.
AU - Mohasseb A.
AU - Bader-El-Den M.
PY - 2020
SP - 333
EP - 340
DO - 10.5220/0010176803330340
PB - SciTePress