Evaluating the sales potential of new products using machine learning techniques and data collected from mobile applications
- DOI
- 10.1108/ijcst-07-2023-0099
- Published
- 2024-04-04
- Container
- International Journal of Clothing Science and Technology
- Publisher
- Emerald
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1108/ijcst-07-2023-0099,
title = {Evaluating the sales potential of new products using machine learning techniques and data collected from mobile applications},
author = {Rita Sleiman and Quoc-Thông Nguyen and Sandra Lacaze and Kim-Phuc Tran and Sébastien Thomassey},
year = {2024},
journal = {International Journal of Clothing Science and Technology},
doi = {10.1108/ijcst-07-2023-0099},
url = {https://doi.org/10.1108/ijcst-07-2023-0099}
}RIS
TY - JOUR TI - Evaluating the sales potential of new products using machine learning techniques and data collected from mobile applications AU - Rita Sleiman AU - Quoc-Thông Nguyen AU - Sandra Lacaze AU - Kim-Phuc Tran AU - Sébastien Thomassey PY - 2024 JO - International Journal of Clothing Science and Technology DO - 10.1108/ijcst-07-2023-0099 UR - https://doi.org/10.1108/ijcst-07-2023-0099 ER -
APA
Sleiman, R., Nguyen, Q., Lacaze, S., Tran, K., & Thomassey, S. (2024). Evaluating the sales potential of new products using machine learning techniques and data collected from mobile applications. International Journal of Clothing Science and Technology. https://doi.org/10.1108/ijcst-07-2023-0099
Source records
- crossref · retrieved 2026-09-26T06:57:44.547Z