AI-Based Recommendation Systems in E-Commerce Platforms

Abstract

Artificial Intelligence (AI)-based recommendation systems have become essential components of modern e-commerce platforms by enhancing customer experience, improving product discovery, and increasing business efficiency. These intelligent systems analyze user behavior, preferences, browsing history, purchase patterns, and demographic information to provide personalized product suggestions and recommendations. the role of AI-based recommendation systems in e-commerce platforms and examines how machine learning algorithms and data-driven technologies influence online consumer behavior and digital marketing strategies. various recommendation techniques used in e-commerce, including collaborative filtering, content-based filtering, hybrid recommendation models, deep learning, and predictive analytics. AI systems process large volumes of customer data to identify behavioral patterns and generate accurate recommendations that match individual preferences. Through personalization, recommendation systems help businesses improve customer satisfaction, increase sales performance, strengthen customer loyalty, and optimize user engagement within digital marketplaces.