Item-Based Collaborative Filtering In Python | Machine Learning
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?
⏰ Timecodes ⏰
0:00 - Intro
0:30 - Step 0: Item-Based Collaborative Filtering Recommendation Algorithm
1:45 - Step 1: Import Python Libraries
2:03 - Step 2: Download And Read In Data
3:32 - Step 3: Exploratory Data Analysis (EDA)
4:52 - Step 4: Create User-Movie Matrix
5:10 - Step 5: Data Normalization
5:39 - Step 6: Calculate Similarity Score
6:17 - Step 7: Predict User’s Rating For One Movie
7:31 - Step 8: Movie Recommendation
8:23 - Summary
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🧱Other tutorials on recommendation system
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