Recommendation System: User-Based Collaborative Filtering
Published in
12 min readApr 16, 2022
Python user-user collaborative filtering to recommend items based on user similarities
User-based collaborative filtering is also called user-user collaborative filtering. It is a type of recommendation system algorithm that uses user similarity to make product recommendations.
In this tutorial, we will talk about
- What is user-based (user-user) collaborative filtering?
- How to create a user-product matrix?
- How to process data for user-based collaborative filtering?
- How to identify similar users?
- How to narrow down the items pool?
- How to rank items for the recommendation?
- How to predict the rating score?
Resources for this post:
- Video tutorial on YouTube
- Python code is at the end of the post. Click here for the notebook.
- More video tutorials on recommendation system
- More blog posts on recommendation system
Let’s get started!
