Major online stores leverage recommender systems to suggest relevant products for customers to purchase.These systems consider factors such as overall productpopularity, the type of products a customer is browsing, and analysis of previous purchases to recommend items for future purchases.Research articles propose various types and variations of recommender systems, validated for different online store contexts.