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Analysing the effect of platform and operating system features on predicting consumers' purchase intent using machine learning algorithms

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Analysing the effect of platform and operating system features on predicting consumers' purchase intent using machine learning algorithms. / Esmeli, Ramazan; Mohasseb, Alaa; Bader-El-Den, Mohamed.

Proceedings of the 12th International Joint Conference on Knowledge Discovery: KDIR. ed. / Ana Fred; Joaquim Filipe. Vol. 1 SciTePress, 2020.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Esmeli, R, Mohasseb, A & Bader-El-Den, M 2020, Analysing the effect of platform and operating system features on predicting consumers' purchase intent using machine learning algorithms. in A Fred & J Filipe (eds), Proceedings of the 12th International Joint Conference on Knowledge Discovery: KDIR. vol. 1, SciTePress, 12th International Joint Conference on Knowledge Discovery, 2/11/20. https://doi.org/10.5220/0010176803330340

APA

Esmeli, R., Mohasseb, A., & Bader-El-Den, M. (2020). Analysing the effect of platform and operating system features on predicting consumers' purchase intent using machine learning algorithms. In A. Fred, & J. Filipe (Eds.), Proceedings of the 12th International Joint Conference on Knowledge Discovery: KDIR (Vol. 1). SciTePress. https://doi.org/10.5220/0010176803330340

Vancouver

Esmeli R, Mohasseb A, Bader-El-Den M. Analysing the effect of platform and operating system features on predicting consumers' purchase intent using machine learning algorithms. In Fred A, Filipe J, editors, Proceedings of the 12th International Joint Conference on Knowledge Discovery: KDIR. Vol. 1. SciTePress. 2020 https://doi.org/10.5220/0010176803330340

Author

Esmeli, Ramazan ; Mohasseb, Alaa ; Bader-El-Den, Mohamed. / Analysing the effect of platform and operating system features on predicting consumers' purchase intent using machine learning algorithms. Proceedings of the 12th International Joint Conference on Knowledge Discovery: KDIR. editor / Ana Fred ; Joaquim Filipe. Vol. 1 SciTePress, 2020.

Bibtex

@inproceedings{72b16b497fd84529b1ccf48239ef3493,
title = "Analysing the effect of platform and operating system features on predicting consumers' purchase intent using machine learning algorithms",
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 intention and behaviours are correlated with these features.",
keywords = "purchase intention, Customer browsing behaviour, Purchase behaviour prediction, noissn",
author = "Ramazan Esmeli and Alaa Mohasseb and Mohamed Bader-El-Den",
note = "No embargo No ISSN; 12th International Joint Conference on Knowledge Discovery, KDIR ; Conference date: 02-11-2020 Through 04-11-2020",
year = "2020",
month = nov,
day = "12",
doi = "10.5220/0010176803330340",
language = "English",
isbn = "978-989-758-474-9",
volume = "1",
editor = "Ana Fred and Joaquim Filipe",
booktitle = "Proceedings of the 12th International Joint Conference on Knowledge Discovery",
publisher = "SciTePress",
url = "http://www.kdir.ic3k.org/",

}

RIS

TY - GEN

T1 - Analysing the effect of platform and operating system features on predicting consumers' purchase intent using machine learning algorithms

AU - Esmeli, Ramazan

AU - Mohasseb, Alaa

AU - Bader-El-Den, Mohamed

N1 - No embargo No ISSN

PY - 2020/11/12

Y1 - 2020/11/12

N2 - 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 intention and behaviours are correlated with these features.

AB - 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 intention and behaviours are correlated with these features.

KW - purchase intention

KW - Customer browsing behaviour

KW - Purchase behaviour prediction

KW - noissn

U2 - 10.5220/0010176803330340

DO - 10.5220/0010176803330340

M3 - Conference contribution

SN - 978-989-758-474-9

VL - 1

BT - Proceedings of the 12th International Joint Conference on Knowledge Discovery

A2 - Fred, Ana

A2 - Filipe, Joaquim

PB - SciTePress

T2 - 12th International Joint Conference on Knowledge Discovery

Y2 - 2 November 2020 through 4 November 2020

ER -

ID: 22662176