Recommender Systems Handbook 1st Edition
Unlock the secrets of personalized recommendations with the ‘Recommender Systems Handbook 1st Edition’ by Francesco Ricci, Lior Rokach, and Bracha Shapira. This comprehensive guide delves into the latest methodologies and applications of recommender systems, offering insights from leading experts in the field. With detailed case studies and practical examples, it equips readers with the tools to understand and design effective recommendation algorithms. Whether you’re a researcher, developer, or enthusiast, this handbook serves as an invaluable resource, bridging theory and practice. Explore the evolution of recommendation technologies and enhance your understanding of user preferences today!
Note: eBooks do not include supplementary materials such as CDs, access codes, etc.
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