Publicação
ChatGPT recommendation system for retail shops
| Resumo: | The rapid growth of e-commerce platforms has emphasized the significance of personalized recommendation systems in enhancing user engagement and satisfaction. This dissertation 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 behaviours while purchasing products using AI, the study aims to assess the system's effectiveness in delivering accurate recommendations and providing a seamless purchasing experience. This document contributes to the field by showcasing the practical implementation of AI-driven recommendation systems, highlighting their potential to transform e-commerce interactions. |
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| Autores principais: | Duwadi, Saroj |
| Assunto: | Inteligência artificial -- Artificial intelligence Retail business Comércio eletrónico -- E-commerce Personalized recommendation systems Machine learning ChatGPT Negócios de varejo Sistemas de recomendação personalizados Aprendizado de máquina |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | ISCTE |
| Idioma: | inglês |
| Origem: | Repositório ISCTE |
| Resumo: | The rapid growth of e-commerce platforms has emphasized the significance of personalized recommendation systems in enhancing user engagement and satisfaction. This dissertation 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 behaviours while purchasing products using AI, the study aims to assess the system's effectiveness in delivering accurate recommendations and providing a seamless purchasing experience. This document contributes to the field by showcasing the practical implementation of AI-driven recommendation systems, highlighting their potential to transform e-commerce interactions. |
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