TY  - BOOK
AU  - Agarwal,Deepak K.
AU  - Chung Bee-Chen
TI  - Statistical methods for recommender systems
SN  - 9781107036079
U1  - 000SB:006.33 23
PY  - 2016///
CY  - New York : 
PB  - Cambridge University Press, 
KW  - Recommender systems (Information filtering)
KW  - Statistical methods
KW  - Expert systems (Computer science)
N1  - Includes bibliographical references and index; Part I. Introduction:
1. Introduction; 
2. Classical methods; 
3. Explore/exploit for recommender problems; 
4. Evaluation methods; 
Part II. Common Problem Settings: 
5. Problem settings and system architecture; 
6. Most-popular recommendation; 
7. Personalization through feature-based regression; 
8. Personalization through factor models; 
Part III. Advanced Topics: 
9. Factorization through latent dirichlet allocation; 
10. Context-dependent recommendation; 
11. Multi-objective optimization
N2  - This book provides an in-depth discussion of challenges encountered in deploying real-life large-scale systems and the state-of-the-art solutions in personalization
ER  -