Publication in conference proceedings Q2
ChatGPT based recommendation system for retail shops
Saroj Duwadi (Duwadi, S.); Carlos Coutinho (Coutinho, C.);
Procedia Computer Science
Year (definitive publication)
2024
Language
English
Country
Netherlands
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Times Cited: 5

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Abstract
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.
Acknowledgements
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Keywords
Artificial Intelligence (AI),AI assistant,Retail business,E-commerce,Personalized recommendation systems,Machine learning,ChatGPT
  • Computer and Information Sciences - Natural Sciences
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
Funding Reference Funding Entity
UIDB/04466/2020 Fundação para a Ciência e a Tecnologia
UIDP/04466/2020 Fundação para a Ciência e a Tecnologia
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