How to Build a Recommendation System in Python: Because Your Code Deserves Friends Too!

How to Build a Recommendation System in Python: Because Your Code Deserves Friends Too!

Imagine this: you’ve built an amazing app, the kind that makes people gasp, “Whoa, this is cooler than my ex’s Spotify playlist.” But there’s one problem — your app doesn’t know how to make suggestions. It’s like that one awkward friend who never knows what to say during small talk. Enter our hero-the Recommendation System. Cupid, for products, movies, or cat memes. The best part? You can write a recommendation system in Python.

Now, let’s dive into the world of algorithms, data, and a pinch of humor. Grab your coffee-this is going to be a ride.

Step 1: Understand the Types of Recommendation Systems

Before we dive into the code, let’s have a word about strategy. Recommendation systems come in two flavors:

1. Collaborative Filtering:

• This is essentially peer pressure in action. It recommends things based on what other similar users like.
• Example: “People who bought socks also bought. more socks?!”

1. Content-Based Filtering: