PSL_Book
  • 1. Introduction
  • 2. Linear Regression
  • 3. Variable Selection and Regularization
  • 4. Regression Trees and Ensemble
  • 5. Nonlinear Regression
  • 6. Clustering Analysis
  • 7. Latent Structure Models
  • 8. TBA
  • 9. Discriminant Analysis
  • 10. Logistic Regression
  • 11. Support Vector Machine
  • 12. Classification Trees and Boosting
  • 13. Recommender System
    • 13.1. Introduction
    • 13.2. Content-Based Methods
    • 13.3. Collaborative Filtering
    • 13.4. UBCF and IBCF
    • 13.5. Latent Factor Model
    • 13.6. Challenges and Strategies
    • 13.7. Deep Recommender Systems
PSL_Book
  • 13. Recommender System

13. Recommender System

  • 13.1. Introduction
  • 13.2. Content-Based Methods
  • 13.3. Collaborative Filtering
  • 13.4. UBCF and IBCF
  • 13.5. Latent Factor Model
  • 13.6. Challenges and Strategies
  • 13.7. Deep Recommender Systems
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