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books
| book details |
Recommendation Algorithm Practice at Major Internet Companies
By (author) Chuanlin Zhao
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| on special |
normal price: R 7 510.95
Price: R 7 135.95
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| book description |
This book explores the advanced recommendation algorithms employed by leading internet companies in China, delving into their ideological underpinnings and technical frameworks. Organized into ten chapters, the book provides a comprehensive overview of recommendation systems, including foundational concepts, feature engineering, embedding techniques, and the algorithms driving key components such as recall, rough ranking, fine ranking, and re-ranking. It also tackles practical challenges in algorithm implementation, such as multi-task and multi-scenario recommendations, cold-start issues for new users and content, model effectiveness evaluation, and strategies for identifying and resolving problems. The concluding chapter offers practical insights into work methodologies, learning approaches, and interview preparation tailored for recommendation algorithm engineers. It serves as a valuable resource for professionals in recommendation systems, computational advertising, and personalized search, as well as students pursuing interests in recommendation algorithms, machine learning, and artificial intelligence – especially those aspiring to careers in these domains.
| product details |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 23 Nov 2026
Language |
Format | Hardback
Pages | 376
Dimensions | 254 x 178 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-0413-7204-2
Readership Age |
BISAC | computers / programming / algorithms
| other options |
Normally shipped |
Readership Age |
Normal Price | R 9 849.95
Price | R 9 356.95
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