£45.34

Cambridge University Press Deep Learning Recommender Systems - Cambridge University Press

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Price levels: 3 different prices over 31 days

Description

Recommender systems are a fundamental part of modern life and serve as a primary monetization channel for major internet technology companies. This book provides a comprehensive guide for graduate students, researchers, and practitioners looking to master this cutting-edge field. By reading this text, you will develop the practical skills and deep understanding necessary to advance your career in recommendation technology. The content covers the applications of deep learning and generative AI specifically for recommendation models. Beyond theoretical concepts, the book focuses on the actual industry architecture used to deploy these systems. You will also find detailed discussions regarding the implementation solutions used by major companies, helping you bridge the gap between academic theory and real-world industrial application.

Key Features

Comprehensive guide for graduate students, researchers, and industry practitioners looking to master recommendation technology.

Covers advanced applications of deep learning and generative AI within modern recommendation models.

Focuses on industry architecture to provide a clear understanding of how these systems are built.

Includes detailed discussions on the specific implementation solutions used by major technology companies.

Builds practical skills needed to progress in the rapidly evolving field of recommender systems.

New Store Stock available for immediate academic or professional use.

Product Specifications

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

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