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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Duwadi, S. & Coutinho, C. (2024). ChatGPT based recommendation system for retail shops. In Nuno Mateus-Coelho, Manuela Cruz-Cunha (Ed.), Procedia Computer Science. (pp. 253-260). Lisboa: Elsevier.
Exportar Referência (IEEE) 
S. Duwadi and C. E. Coutinho,  "ChatGPT based recommendation system for retail shops", in Procedia Computer Science, Nuno Mateus-Coelho, Manuela Cruz-Cunha, Ed., Lisboa, Elsevier, 2024, vol. 237, pp. 253-260
Exportar BibTeX 
@inproceedings{duwadi2024_1764945495902,
	author = "Duwadi, S. and Coutinho, C.",
	title = "ChatGPT based recommendation system for retail shops",
	booktitle = "Procedia Computer Science",
	year = "2024",
	editor = "Nuno Mateus-Coelho, Manuela Cruz-Cunha",
	volume = "237",
	number = "",
	series = "",
	doi = "10.1016/j.procs.2024.05.103",
	pages = "253-260",
	publisher = "Elsevier",
	address = "Lisboa",
	organization = "",
	url = "https://www.sciencedirect.com/science/article/pii/S1877050924011190?via%3Dihub"
}
Exportar RIS 
TY  - CPAPER
TI  - ChatGPT based recommendation system for retail shops
T2  - Procedia Computer Science
VL  - 237
AU  - Duwadi, S.
AU  - Coutinho, C.
PY  - 2024
SP  - 253-260
SN  - 1877-0509
DO  - 10.1016/j.procs.2024.05.103
CY  - Lisboa
UR  - https://www.sciencedirect.com/science/article/pii/S1877050924011190?via%3Dihub
AB  - The rapid growth of e-commerce platforms has emphasized the significance of personalized recommendation systems in enhancing user engagement and satisfaction. This research paper presents the development and evaluation of an innovative Product Recommendation System that leverages advanced Artificial Intelligence (AI) techniques to provide tailored product suggestions. The primary objective is to create a user-centric experience by integrating an AI assistant, enabling natural and interactive interactions. Through a comprehensive survey conducted to understand customer behaviour while purchasing product using AI, the study aims to assess the system's effectiveness in delivering accurate recommendations and providing a seamless purchasing experience. The paper contributes to the field by showcasing the practical implementation of AI-driven recommendation systems, highlighting their potential to transform e-commerce interactions. 
ER  -