Building a recommendation system can seem like a daunting task, but with the right tools and knowledge, it can be a fun and rewarding experience. In this tutorial, we will be building a simple recommendation system using the popular library scikit-learn.
💻 Before we begin, let’s go over the basics of recommendation systems. A recommendation system is a tool that suggests items to users based on their preferences and past interactions. There are several types of recommendation systems, such as content-based, collaborative filtering, and hybrid recommendation systems. In this tutorial, we will be building a simple content-based recommendation system.
🔍 A content-based recommendation system suggests items to users based on their past interactions. For example, if a user has previously watched a lot of action movies, the recommendation system will suggest more action movies to the user. In order to build a content-based recommendation system, we will need a dataset…