Have you ever wondered how platforms like Netflix, Amazon, or Spotify suggest the perfect movies, products, or songs tailored just for you? That’s the magic of recommendation systems.
In this article, we’ll dive into the world of recommendation systems and learn how to build a simple yet effective one using Python.
Understanding Recommendation Systems
Recommendation systems play a crucial role in enhancing user experience by predicting and suggesting items that users might like based on their past behavior or preferences. There are mainly three types: collaborative filtering, content-based filtering, and hybrid systems.
For simplicity, let’s focus on collaborative filtering, a technique that leverages user-item interactions to make recommendations.
Getting Started with Python
First things first, ensure you have Python installed on your machine. If not, head over to Python’s official website and follow the instructions for your operating system.
