Applied Recommender Systems With Python Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques Akshay Kulkarni, Adarsha Shivananda, et.al English

By: Kulkarni AkshayMaterial type: Text

TextPublication details: India Apress 2023 Description: v,248 pages, ; soft bound 17x25 cmISBN: 978-1-4842-8953-2DDC classification: 005.133

Contents:

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

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Tetso College Library Reference	Reference	005.133 KUL (Browse shelf(Opens below))	Not For Loan		13428

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

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