Every day, various types of data are uploaded into the internet from all over the world since its inception. It is extremely difficult to retrieve data from the internet for a specific data. The data results after browsing may not be topic dependent, oriented, or related. Recommender Systems are used to determine the context of specific data. The primary subcategories of recommender systems are as follows: Options include content-based filtering, collaborative filtering, and a hybrid strategy.

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... n this study, we do experiments on a Movie lens data set using Item-based Collaborative filtering. Users can purchase comparable things thanks to item-based collaborative filtering, which boosts sales on e-commerce websites