Artificial intelligence (AI) has permeated our lives in a myriad of ways, making everyday tasks easier, more efficient, and personalized. One of the most significant applications of AI is in recommender systems, which have become an integral part of our digital experiences. From suggesting movies on streaming platforms to proposing products on e-commerce websites, AI-based recommender systems have revolutionized content consumption and online shopping.
This article delves into the inner workings of AI-based recommender systems, exploring their different types, algorithms, and challenges. We will also discuss the potential future developments in this field.