Building Recommendation Systems Using Graph Neural Networks

Building Recommendation Systems Using Graph Neural Networks

Databricks via YouTube Direct link

RECKON - Cold Start Problem

11 of 15

11 of 15

RECKON - Cold Start Problem

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Building Recommendation Systems Using Graph Neural Networks

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 Graph ML is a branch of ML that deals with graph data
  3. 3 Neural Message Passing Goal is to obtain "neighborhood-aware" embeddings
  4. 4 Message Function
  5. 5 Aggregate/Reduce Function
  6. 6 Update Function
  7. 7 Single GNN Layer
  8. 8 RECKON - Graph Schema
  9. 9 Newsletter Recommendations
  10. 10 Link Prediction
  11. 11 RECKON - Cold Start Problem
  12. 12 RECKON - Pipeline
  13. 13 Model Architecture
  14. 14 RECKON - Scoring
  15. 15 DATA+AI SUMMIT 2022

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.