Temporal Popularity-Based Recommender Systems for e-Commerce: A Comprehensive Evaluation
Mustafa Keskin, Enis Teper, Sinan Keçeci
2025
Abstract
We explore popularity-based recommendation strategies for e-commerce, using a year of sales logs to evaluate three baselines: most popular, recently popular, and decay popular products. We also propose trend popular products, a novel method that captures emerging preferences by analyzing weekly sales changes. Our evaluation on a subsequent month of orders shows that approaches considering recency or time decay are more effective than simple popularity. The trend-aware method further enhances performance, demonstrating that lightweight, popularity-driven models can offer effective and clear recommendation strategies for e-commerce
DownloadPaper Citation
in Harvard Style
Keskin M., Teper E. and Keçeci S. (2025). Temporal Popularity-Based Recommender Systems for e-Commerce: A Comprehensive Evaluation. In Proceedings of the 2nd International Conference on Advances in Electrical, Electronics, Energy, and Computer Sciences - Volume 1: ICEEECS; ISBN 978-989-758-783-2, SciTePress, pages 20-24. DOI: 10.5220/0014286900004848
in Bibtex Style
@conference{iceeecs25,
author={Mustafa Keskin and Enis Teper and Sinan Keçeci},
title={Temporal Popularity-Based Recommender Systems for e-Commerce: A Comprehensive Evaluation},
booktitle={Proceedings of the 2nd International Conference on Advances in Electrical, Electronics, Energy, and Computer Sciences - Volume 1: ICEEECS},
year={2025},
pages={20-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014286900004848},
isbn={978-989-758-783-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 2nd International Conference on Advances in Electrical, Electronics, Energy, and Computer Sciences - Volume 1: ICEEECS
TI - Temporal Popularity-Based Recommender Systems for e-Commerce: A Comprehensive Evaluation
SN - 978-989-758-783-2
AU - Keskin M.
AU - Teper E.
AU - Keçeci S.
PY - 2025
SP - 20
EP - 24
DO - 10.5220/0014286900004848
PB - SciTePress