1st Edition
Recommendation Algorithm Practice at Major Internet Companies
By Chuanlin Zhao
Copyright 2027
360 Pages
113 B/W Illustrations
by
CRC Press
This book explores the advanced recommendation algorithms employed by leading internet companies in China, delving into their ideological underpinnings and technical frameworks.
Organised 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... Read more
1. Introduction to Recommender Systems 2. Feature Engineering in Recommender Systems 3. Embedding in Recommender Systems 4. Fine Ranking 5. Recall 6. Coarse Ranking and Re-Ranking 7. Multi-Task and Multi-Scenario Recommendation 8. Cold Start 9. Evaluation and Debugging 10. Self-Development for Recommendation Algorithm Engineers
Biography
Chuanlin Zhao graduated from Tsinghua University and currently serves as an Algorithm Expert at Beijing Kuaishou Technology Co., Ltd. With over 10 years of experience in Internet algorithms, he specializes in recommendation systems, computational advertising, and personalized search.
