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Cambridge University Press Deep Learning Recommender Systems - Cambridge University Press

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£46.45 £45.23 £45.50 £45.76 £46.03 £46.29 £46.56 27 July 2026 14 August 2026 02 September 2026 21 September 2026 10 October 2026
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Description

Deep Learning Recommender Systems by Cambridge University Press is a comprehensive guide for graduate students, researchers, and practitioners seeking mastery of modern recommendation algorithms and architectures. This book bridges theory and practice by exploring how deep learning and generative AI power the recommender systems that drive monetization for major Internet technology companies. Beyond technical foundations, it examines real-world industry implementations and architectural patterns deployed by leading technology firms. The text equips readers with both the conceptual understanding and practical skills needed to design, build, and optimize recommendation engines at scale, making it essential for anyone advancing a career in e-commerce, machine learning, or data science.

Key Features

Deep Learning Recommender Systems covers advanced deep learning techniques and generative AI applications specifically for building effective recommendation models.

The Cambridge University Press book includes detailed discussions of industry architecture and implementation solutions used by major technology companies.

Designed for graduate students, researchers, and practitioners who need thorough understanding of cutting-edge recommender systems development.

Combines theoretical foundations with practical skills for progressing in the field of recommendation algorithms and real-world deployment.

New stock ensures access to the latest edition with current industry best practices and emerging approaches in recommendation technology.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
22 May 2025
Listed Since
12 November 2024

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