With the technology occupying a large place in human life, our shopping habits have also changed drastically. Increasing product variety and alternatives have made it difficult for people to reach products that suit their own tastes. Thanks to the Suggestion Systems, it has made internet shopping easier by using the evaluation, comment and scoring criteria of other users who have used the same or similar products to the products they are interested in. By learning the tendencies of the users while choosing the products, the presentation of the appropriate products enabled the users to reach their requests easily and quickly. At the same time, it has become mandatory for e-commercial companies to learn the preferences of users in order to compete with other companies. In this study, the most popular recommendation systems and algorithms used in e-commerce platforms are compared.