Description:

This course covers the fundamentals of building recommendation systems using graph-based algorithms and techniques. You will learn how to leverage graph structures to provide personalized recommendations in various applications.

Key Highlights:

• Understand graph-based recommendation systems
• Implement collaborative filtering using graph algorithms
• Explore node embeddings for recommendation
• Build a recommendation engine from scratch

What you will learn:

• Understand graph-based recommendation systems
  Learn the basics of using graphs for recommendation and their advantages.
• Implement collaborative filtering using graph algorithms
  Discover how collaborative filtering techniques can be applied in a graph setting.
• Explore node embeddings for recommendation
  Dive into the world of node embeddings and how they can enhance recommendation accuracy.
• Build a recommendation engine from scratch
  Hands-on project to build a recommendation engine using graph-based approaches.