Abstract: Journal of Complementary Research and Alternative Medicine

Abstract:
This paper presents an innovative approach to improving user experience in e-commerce platforms by integrating a personalized product recommendation system. The developed website enables users to search for products with optimized backend algorithms ensuring relevant search results. Additionally, a hybrid recommendation system combining content-based filtering and collaborative filtering is used to dynamically suggest related products based on user queries and behaviors. Real- time adaptation and feedback loops allow for continuous system improve ment, while a personalized dashboard enhances user convenience. By focusing on personalization, this solution increases user engagement and enhances conversion rates, contributing to a more efficient and enjoyable shopping experience.