Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 97,05
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: INDOO, Avenel, NJ, Estados Unidos de America
EUR 99,45
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 105,06
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 113,53
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 110,90
Cantidad disponible: 15 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 117,63
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 105,06
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 121,06
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2026
ISBN 10: 1394351542 ISBN 13: 9781394351541
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 125,93
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. A detailed guide to building cutting-edge recommendation systems In Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits, a team of experienced technologists and educators, each with a proven track record in the field, delivers an expert guide to building robust recommendation systems that can interface with complex databases. The authors deep understanding of the subject matter is evident as they explain how to use the latest AI technologies, including LLMs, graph neural networks, diffusion models, and generative adversarial networks, to create recommendation engines that users enjoy and that drive business revenue. The book does not just delve into theoretical concepts, but also connects them to advanced implementation techniques. It demonstrates the application of practical and adaptable techniques, such as graph embeddings and Bayesian networks, to solve real-world problems faced by platform users and businesses. Readers will find the knowledge and tools to tackle these challenges head-on. Comprehensive coverage of practical generative AI techniques, including large language models and diffusion models Detailed exploration of graph neural networks and knowledge graph embeddings to solve common recommendation engine problems Practical guidance on implementing generative adversarial networks and variational autoencoders to address mode collapse and information bottleneck challenges In-depth analysis of hybrid recommendation architectures that combine content-based, collaborative, and knowledge-based filtering Real-world deployment strategies using cloud-native computing environments are not just theoretical concepts in this book. They are actionable strategies that have been tested and proven effective. This emphasis on real-world applicability will reassure readers about the books relevance to their professional or academic pursuits. Perfect for data scientists, AI specialists, software engineers, architects, and graduate students, Next-Generation Recommendation Systems is an essential, up-to-date resource for everyone involved in the design, deployment, and optimization of recommendation systems that connect to large, complex datasets. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 110,89
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 129,09
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 137,54
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 119,64
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 121,15
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 140,16
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Ubiquity Trade, Miami, FL, Estados Unidos de America
EUR 145,56
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Brand new! Please provide a physical shipping address.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 146,55
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 135,29
Cantidad disponible: 1 disponibles
Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 146,40
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 146,23
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 163,61
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 153,31
Cantidad disponible: Más de 20 disponibles
Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
EUR 120,72
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 157,02
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 368 pages. 6.40x1.60x9.10 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 160,87
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 368 pages. 6.40x1.60x9.10 inches. In Stock.
EUR 135,37
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dr. E. Chandra Blessie is currently working as dean, Innovation, School of Innovation, KG College of Arts and Science, Coimbatore, Tamil Nadu, India. She has 23 years of teaching experience. She is guiding Ph.D. research scholars. She ha.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 179,79
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 264 pages. 9.18x6.12x9.45 inches. In Stock.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 165,97
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware - A detailed guide to building cutting-edge recommendation systems In Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits, a team of experienced technologists and educators, each with a proven track record in the field, delivers an expert guide to building robust recommendation systems that can interface with complex databases. The authors' deep understanding of the subject matter is evident as they explain how to use the latest AI technologies, including LLMs, graph neural networks, diffusion models, and generative adversarial networks, to create recommendation engines that users enjoy and that drive business revenue. The book does not just delve into theoretical concepts, but also connects them to advanced implementation techniques. It demonstrates the application of practical and adaptable techniques, such as graph embeddings and Bayesian networks, to solve real-world problems faced by platform users and businesses. Readers will find the knowledge and tools to tackle these challenges head-on. - Comprehensive coverage of practical generative AI techniques, including large language models and diffusion models- Detailed exploration of graph neural networks and knowledge graph embeddings to solve common recommendation engine problems- Practical guidance on implementing generative adversarial networks and variational autoencoders to address mode collapse and information bottleneck challenges- In-depth analysis of hybrid recommendation architectures that combine content-based, collaborative, and knowledge-based filtering Real-world deployment strategies using cloud-native computing environments are not just theoretical concepts in this book. They are actionable strategies that have been tested and proven effective. This emphasis on real-world applicability will reassure readers about the book's relevance to their professional or academic pursuits. Perfect for data scientists, AI specialists, software engineers, architects, and graduate students, Next-Generation Recommendation Systems is an essential, up-to-date resource for everyone involved in the design, deployment, and optimization of recommendation systems that connect to large, complex datasets.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2026
ISBN 10: 1394351542 ISBN 13: 9781394351541
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 216,22
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: new. Hardcover. A detailed guide to building cutting-edge recommendation systems In Next-Generation Recommendation Systems: A Comprehensive Guide to Enabling Technologies and Tools and their Business Benefits, a team of experienced technologists and educators, each with a proven track record in the field, delivers an expert guide to building robust recommendation systems that can interface with complex databases. The authors deep understanding of the subject matter is evident as they explain how to use the latest AI technologies, including LLMs, graph neural networks, diffusion models, and generative adversarial networks, to create recommendation engines that users enjoy and that drive business revenue. The book does not just delve into theoretical concepts, but also connects them to advanced implementation techniques. It demonstrates the application of practical and adaptable techniques, such as graph embeddings and Bayesian networks, to solve real-world problems faced by platform users and businesses. Readers will find the knowledge and tools to tackle these challenges head-on. Comprehensive coverage of practical generative AI techniques, including large language models and diffusion models Detailed exploration of graph neural networks and knowledge graph embeddings to solve common recommendation engine problems Practical guidance on implementing generative adversarial networks and variational autoencoders to address mode collapse and information bottleneck challenges In-depth analysis of hybrid recommendation architectures that combine content-based, collaborative, and knowledge-based filtering Real-world deployment strategies using cloud-native computing environments are not just theoretical concepts in this book. They are actionable strategies that have been tested and proven effective. This emphasis on real-world applicability will reassure readers about the books relevance to their professional or academic pursuits. Perfect for data scientists, AI specialists, software engineers, architects, and graduate students, Next-Generation Recommendation Systems is an essential, up-to-date resource for everyone involved in the design, deployment, and optimization of recommendation systems that connect to large, complex datasets. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 242,00
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.