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