Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis

Ayşe Cilacı Tombuş; Ergin Eroğlu; İbrahim Halil Altun

doi:10.38088/jise.1308353

EN

Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis

Abstract

Recommender systems in the industrial sector are experiencing a growing application within e-commerce platforms, focusing on tailoring customer shopping experiences. This trend has led to increased customer satisfaction and enhanced sales outcomes for businesses operating in this domain. Despite the widespread prevalence of e-commerce globally, there exists a noticeable gap in the empirical assessment of recommender system performance for business objectives, particularly in the context of utilizing data mining methodologies and big data analytics. This research aims to address this gap by scrutinizing authentic global e-commerce data that spans diverse countries, industries, and scales. The primary objective is to ascertain the impact of recommender systems, measured in terms of contribution rate, click-through rate, conversion rate, and revenue, by leveraging advanced big data analytics and data mining techniques. The study utilizes average values derived from an extensive dataset comprising 200 distinct e-commerce websites, representing a spectrum of 25 countries distributed across five different regions. Notably, this research represents a pioneering initiative in the literature as it harnesses and analyzes empirical data on such a comprehensive scale derived from various global e-commerce platforms.

Keywords

Supporting Institution

Segmentify Yazılım A.Ş.

Thanks

We thank to Segmentify Yazılım A.Ş. for their support.

References

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Details

Primary Language

English

Subjects

Software Engineering , Industrial Engineering

Journal Section

Research Article

Authors

Ayşe Cilacı Tombuş ^*
0000-0002-0556-7482
Türkiye

Ergin Eroğlu
0009-0002-0627-4048
Türkiye

İbrahim Halil Altun
0009-0002-0310-7930
Türkiye

Early Pub Date

December 16, 2024

Publication Date

December 31, 2024

Submission Date

June 1, 2023

Acceptance Date

June 24, 2024

Published in Issue

Year 2024 Volume: 8 Number: 2

DOI

https://doi.org/10.38088/jise.1308353

IZ

https://izlik.org/JA96ZK58BH

Cite

RIS / Bibtex

APA

Cilacı Tombuş, A., Eroğlu, E., & Altun, İ. H. (2024). Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis. Journal of Innovative Science and Engineering, 8(2), 251-265. https://doi.org/10.38088/jise.1308353

AMA

1.Cilacı Tombuş A, Eroğlu E, Altun İH. Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis. JISE. 2024;8(2):251-265. doi:10.38088/jise.1308353

Chicago

Cilacı Tombuş, Ayşe, Ergin Eroğlu, and İbrahim Halil Altun. 2024. “Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis”. Journal of Innovative Science and Engineering 8 (2): 251-65. https://doi.org/10.38088/jise.1308353.

EndNote

Cilacı Tombuş A, Eroğlu E, Altun İH (December 1, 2024) Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis. Journal of Innovative Science and Engineering 8 2 251–265.

IEEE

[1]A. Cilacı Tombuş, E. Eroğlu, and İ. H. Altun, “Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis”, JISE, vol. 8, no. 2, pp. 251–265, Dec. 2024, doi: 10.38088/jise.1308353.

ISNAD

Cilacı Tombuş, Ayşe - Eroğlu, Ergin - Altun, İbrahim Halil. “Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis”. Journal of Innovative Science and Engineering 8/2 (December 1, 2024): 251-265. https://doi.org/10.38088/jise.1308353.

JAMA

1.Cilacı Tombuş A, Eroğlu E, Altun İH. Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis. JISE. 2024;8:251–265.

MLA

Cilacı Tombuş, Ayşe, et al. “Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis”. Journal of Innovative Science and Engineering, vol. 8, no. 2, Dec. 2024, pp. 251-65, doi:10.38088/jise.1308353.

Vancouver

1.Ayşe Cilacı Tombuş, Ergin Eroğlu, İbrahim Halil Altun. Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis. JISE. 2024 Dec. 1;8(2):251-65. doi:10.38088/jise.1308353

Öz

Impact Of Recommender Systems in E-Commerce – A Worldwide Empirical Analysis

Abstract

Keywords

Supporting Institution

Thanks

References

Details

Primary Language

Subjects

Journal Section

Authors

Early Pub Date

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite