A walkthrough of how to implement basic item-based collaborative filtering in Python. The video's purpose is mainly to show you the steps of implementing the method, whereas you in other settings may use libraries to speed up your work. English isn't my native language, and I speak pretty slowly. Because of that, I recommend you to click the cogwheel in the video toolbar and change the playback speed to your liking.
Google Colab Notebook: https://colab.research.google.com/dri...
00:00 Intro
01:57 Using data structures easy to work with
03:58 Computing item similarities
08:55 Getting top N recommendations
10:53 Outro and what's next
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