E-commerce Product Categorization Using Big Data Analytics

Sedat Usluoğlu; Deniz Kılınç; Fatma Bozyiğit

E-commerce Product Categorization Using Big Data Analytics

Abstract

E-commerce platforms need to have a well-managed online product catalog to make products easily accessible. However, the organization of catalog and categorization of products can be time-consuming due to the large volume of product data in e-commerce. In this direction, our study aims to develop an accurate categorization of product data with the adoption of big data analytics. Accordingly, various machine learning algorithms (Support Vector Machine, Naive Bayes, and Stochastic Gradient Descent) were utilized to organize online catalogs from Spark MLLib. Performed classifiers were trained and tested on product catalog data collected from a fashion retailer in Turkey, Boyner Group, which combines cutting-edge digital services with a vast network of exciting stores.

Keywords

References

[1] Sila, I. (2013). Factors affecting the adoption of B2B e-commerce technologies. Electronic commerce research, 13(2), 199-236.
[2] Umaashankar, V., & Prakash, A. (2019). Atlas: A Dataset and Benchmark for E-commerce Clothing Product Categorization. arXiv preprint arXiv:1908.08984.
[3] Boyner. (2021, May, 15). Internetin boyner’i online alışverisin adresi [Online]. Available: https://www.boynergrup.com/en
[4] Shen, D., Ruvini, J. D., Somaiya, M., & Sundaresan, N. (2011, October). Item categorization in the e-commerce domain. In Proceedings of the 20th ACM international conference on Information and knowledge management (pp. 1921-1924).
[5] Mathivanan, N. M. N., MdGhani, N. A., & Janor, R. M. (2019). Performance analysis of supervised learning models for product title classification. IAES International Journal of Artificial Intelligence, 8(3), 228.
[6] Zahavy, T., Magnani, A., Krishnan, A., & Mannor, S. (2016). Is a picture worth a thousand words? a deep multi-modal fusion architecture for product classification in e-commerce. arXiv preprint arXiv:1611.09534.
[7] Manchusha, K. N. R., & Renukadevi, P. Recursive Product Catalog Pattern Matching and Learning for Categorization of Products in Commercial Portal.
[8] Minelli, M., Chambers, M., & Dhiraj, A. (2013). Big data, big analytics: emerging business intelligence and analytic trends for today's businesses (Vol. 578). John Wiley & Sons.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Sedat Usluoğlu This is me
Türkiye

Deniz Kılınç This is me
Türkiye

Fatma Bozyiğit ^* This is me
Türkiye

Publication Date

September 30, 2021

Submission Date

July 26, 2021

Acceptance Date

September 25, 2021

Published in Issue

Year 2021 Volume: 1 Number: 2

IZ

https://izlik.org/JA96TW57RW

Cite

RIS / Bibtex

APA

Usluoğlu, S., Kılınç, D., & Bozyiğit, F. (2021). E-commerce Product Categorization Using Big Data Analytics. Artificial Intelligence Theory and Applications, 1(2), 1-8. https://izlik.org/JA96TW57RW

AMA

1.Usluoğlu S, Kılınç D, Bozyiğit F. E-commerce Product Categorization Using Big Data Analytics. AITA. 2021;1(2):1-8. https://izlik.org/JA96TW57RW

Chicago

Usluoğlu, Sedat, Deniz Kılınç, and Fatma Bozyiğit. 2021. “E-Commerce Product Categorization Using Big Data Analytics”. Artificial Intelligence Theory and Applications 1 (2): 1-8. https://izlik.org/JA96TW57RW.

EndNote

Usluoğlu S, Kılınç D, Bozyiğit F (September 1, 2021) E-commerce Product Categorization Using Big Data Analytics. Artificial Intelligence Theory and Applications 1 2 1–8.

IEEE

[1]S. Usluoğlu, D. Kılınç, and F. Bozyiğit, “E-commerce Product Categorization Using Big Data Analytics”, AITA, vol. 1, no. 2, pp. 1–8, Sept. 2021, [Online]. Available: https://izlik.org/JA96TW57RW

ISNAD

Usluoğlu, Sedat - Kılınç, Deniz - Bozyiğit, Fatma. “E-Commerce Product Categorization Using Big Data Analytics”. Artificial Intelligence Theory and Applications 1/2 (September 1, 2021): 1-8. https://izlik.org/JA96TW57RW.

JAMA

1.Usluoğlu S, Kılınç D, Bozyiğit F. E-commerce Product Categorization Using Big Data Analytics. AITA. 2021;1:1–8.

MLA

Usluoğlu, Sedat, et al. “E-Commerce Product Categorization Using Big Data Analytics”. Artificial Intelligence Theory and Applications, vol. 1, no. 2, Sept. 2021, pp. 1-8, https://izlik.org/JA96TW57RW.

Vancouver

1.Sedat Usluoğlu, Deniz Kılınç, Fatma Bozyiğit. E-commerce Product Categorization Using Big Data Analytics. AITA [Internet]. 2021 Sep. 1;1(2):1-8. Available from: https://izlik.org/JA96TW57RW