Hybrid Recommendation System Using User-based and Item-based Collaborative Filtering
Recommendation systems have become integral to industries ranging from online retail to digital media. Two popular recommendation techniques are user-based and item-based collaborative filtering. But why limit ourselves to one when we can reap the benefits of both? This video explores how to build a robust hybrid recommendation system leveraging both of these strategies.
❤️ Blog post for this video: / hybrid-recommendation-system-using-user-ba...
🚛 GrabNGoInfo Machine Learning Tutorials Inventory: / grabngoinfo-machine-learning-tutorials-inv...
🎞️ Recommendation System playlist: https://studio.youtube.com/playlist/P...
📺 Videos mentioned in the video
User-based Collaborative Filtering: https://studio.youtube.com/video/cxcF...
Item-based Collaborative Filtering: https://studio.youtube.com/video/kZxg...
Recommendation System Evaluation: https://studio.youtube.com/video/t4oD...
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