Collaborative Filtering & Personalized Recommendations

  • 12 Videos | 1h 19m 49s
  • Includes Assessment
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Learn the limitations of traditional prediction and the fundamentals of personalized recommendations. Also learn the many variations such as the use of side information, dynamic models or active models to develop even more accurate recommendation systems

WHAT YOU WILL LEARN

  • Understand the basics behind personalization using collaborative filtering using similar users
    Understand the nearest neighbors technique.
    Understand the basics behind personalization using collaborative filtering using similar items
    Know how to use collaborative filtering with both users and items
    Learn more about collaborative filtering with both users and items
    Learn how all previous methods combine
  • Know how all previous methods work together
    Understand recommendation systems using graphical models and neural networks
    Further understand the graphical models associated with recommendation systems
    Know how to use side information to refine a recommendation system
    Understand how active learning plays a role in recommendation systems
    Understand how to build an actual recommendation system

IN THIS COURSE

  • Playable
    1. 
    Personalizing Using Collaborative Filtering: Users 1
    4m 10s
    UP NEXT
  • Playable
    2. 
    Personalizing Using Collaborative Filtering: Users 2
    5m 22s
  • Locked
    3. 
    Personalizing Using Collaborative Filtering: Items
    4m 17s
  • Locked
    4. 
    Collaborative Filtering By Similar Users & Items 1
    6m 26s
  • Locked
    5. 
    Collaborative Filtering By Similar Users & Items 2
    6m 31s
  • Locked
    6. 
    Using Comparisons, Rankings and User-Items 1
    5m 46s
  • Locked
    7. 
    Using Comparisons, Rankings and User-Items 2
    7m 14s
  • Locked
    8. 
    Graphical Models and Neural Networks 1
    6m 8s
  • Locked
    9. 
    Graphical Models and Neural Networks 2
    6m 59s
  • Locked
    10. 
    Using Side-Information
    8m 14s
  • Locked
    11. 
    20 Questions and Active Learning
    7m 45s
  • Locked
    12. 
    Building Recommendation Systems
    10m 57s