Recommendation System: Item-Based Collaborative Filtering
Published in
11 min readApr 17, 2022
Python item-item collaborative filtering to recommend items based on item similarities
Item-based collaborative filtering is also called item-item collaborative filtering. It is a type of recommendation system algorithm that uses item similarity to make product recommendations.
In this tutorial, we will talk about
- What is item-based (item-item) collaborative filtering?
- How to create a user-product matrix?
- How to identify similar items?
- How to rank items for the recommendation?
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!
Step 0: Item-Based Collaborative Filtering Recommendation Algorithm
Firstly, let’s understand how item-based collaborative filtering works.
Item-based collaborative filtering makes recommendations based on user-product interactions in the past. The…
