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Recommender Systems: Frontiers and Practices by Dongsheng Li Hardcover Book
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Located in: Fairfield, Ohio, United States
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Estimated between Tue, 9 Jul and Fri, 19 Jul to 43230
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eBay item number:364823079231
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9789819989638
- Book Title
- Recommender Systems
- ISBN
- 9789819989638
- Publication Year
- 2024
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Subject Area
- Computers, Mathematics, Language Arts & Disciplines
- Publication Name
- Recommender Systems : Frontiers and Practices
- Publisher
- Springer
- Item Length
- 9.3 in
- Subject
- Probability & Statistics / General, Library & Information Science / General, System Administration / Storage & Retrieval, Databases / Data Mining
- Item Width
- 6.1 in
- Number of Pages
- Xvi, 280 Pages
About this product
Product Information
This book starts from the classic recommendation algorithms, introduces readers to the basic principles and main concepts of the traditional algorithms, and analyzes their advantages and limitations. Then, it addresses the fundamentals of deep learning, focusing on the deep-learning-based technology used, and analyzes problems arising in the theory and practice of recommender systems, helping readers gain a deeper understanding of the cutting-edge technology used in these systems. Lastly, it shares practical experience with Microsoft 's open source project Microsoft Recommenders. Readers can learn the design principles of recommendation algorithms using the source code provided in this book, allowing them to quickly build accurate and efficient recommender systems from scratch.
Product Identifiers
Publisher
Springer
ISBN-10
9819989639
ISBN-13
9789819989638
eBay Product ID (ePID)
24064044513
Product Key Features
Number of Pages
Xvi, 280 Pages
Language
English
Publication Name
Recommender Systems : Frontiers and Practices
Publication Year
2024
Subject
Probability & Statistics / General, Library & Information Science / General, System Administration / Storage & Retrieval, Databases / Data Mining
Type
Textbook
Subject Area
Computers, Mathematics, Language Arts & Disciplines
Format
Hardcover
Dimensions
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Dewey Edition
23
Number of Volumes
1 Vol.
Illustrated
Yes
Dewey Decimal
025.04
Lc Classification Number
Qa75.5-76.95
Table of Content
Chapter 1. Overview of Recommender Systems.- Chapter 2. Classic Recommendation Algorithms.- Chapter 3. Foundations of Deep Learning.- Chapter 4. Deep Learning-based Recommendation Algorithms.- Chapter 5. Recommender System Frontier Topics. Chapter 6. Practical Recommender System.- Chapter 7. Summary and Outlook
Copyright Date
2024
Item description from the seller
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eBay item number:364823079231
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