Recommendation systems (RS) are the systems that are used for recommendation purposes. These recommendations can be anything from articles, blogs to different products. Every person these days is fascinated by how a recommendation engine works? We see a product on an e-commerce website and start seeing products related to the same product we just saw. You search for one plus 7 phones and get recommended similar variants of phones.

This all became possible because of recommendation engines that are providing personalized content to the end-user resulting in increasing sales of the business. Many companies these days are using recommendations for different purposes like Netflix uses RS to recommend movies, e-commerce websites use it for a product recommendation, etc.

Through this article, we will explore the core concepts of the recommendation system by building a recommendation engine that will be able to recommend 10 movies similar to the movie you are watching. We will make use of  The Movies Data set that is publicly available on Kaggle.

**What we will learn from this article? **

#recommendation #python