Practical Recommender Systems
by Kim Falk
In Practical Recommender Systems, Kim Falk delivers a practical guide to constructing recommender systems. It explores core principles, from data handling to algorithm deployment, enabling readers to build personalized recommendation features for various platforms. Ideal for developers seeking actionable insights into this vital technology.
About This Book
Practical Recommender Systems provides a comprehensive introduction to developing recommender systems that suggest relevant items to users based on their preferences and behaviors.
The book covers essential concepts and practical implementations, drawing from real-world applications in e-commerce, streaming services, and more.
Readers will learn about data preparation, algorithm selection, and evaluation methods to create robust systems that enhance user engagement.
With a focus on accessibility, it equips developers and data scientists with the tools to integrate recommendations into their projects effectively.
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