TY  - BOOK
AU  - Kulkarni Akshay
TI  - Applied Recommender Systems With Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques
SN  - 978-1-4842-8953-2
U1  - 005.133 23
PY  - 2023///
CY  - India
PB  - Apress
N1  - 
1. Introduction to Recommendation Systems
2. Market Basket Analysis (Association Rule Mining)
3. Content-Based Recommender Systems
4. Collaborative Filtering
5. Collaborative Filtering Using Matrix Factorization, Singular Value Decomposition, and Co-Clustering
6. Hybrid Recommender Systems
7. Clustering-Based Recommender Systems
8. Classification Algorithm–Based Recommender Systems
9. Deep Learning–Based Recommender System
10. Graph-Based Recommender Systems
11. Emerging Areas and Techniques in Recommender Systems
ER  -