计算机科学
采购
推荐系统
产品(数学)
领域(数学)
知识管理
万维网
营销
几何学
数学
业务
纯数学
作者
Saroj Duwadi,Carlos Cautinho
标识
DOI:10.1016/j.procs.2024.05.103
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI