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Hardback. Condizione: New. Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design models and systems for a wide range of applications.…

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design models and systems for a wide range of applications.…

Condizione: New. 2022. New. Hardcover. . . . . . Books ship from the US and Ireland.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes revised selected papers from International Workshops on AI Agent for Information Retrieval: Generating and Ranking, Agent4IR, taking place on October 25, 2024, in Boise, USA, and on March 4, 2025, in Pennsylvania, USA, and on August 3, 2025, in Toronto, Canada.The 12 full papers included in the book were carefully reviewed and selected from a total of 38 submissions. They focus on the latest theoretical advancements and practical implementations of AI agents in information retrieval, advance the field and enhance its societal impact. …

Condizione: New.

Condizione: New. 2022. New. Hardcover. . . . . .

Hardback. Condizione: New. Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design models and systems for a wide range of applications.…

Taschenbuch. Condizione: Neu. AI Agent for Information Retrieval: Generating and Ranking | Agent4IR International Workshops: Agent4IR 2024[at]CIKM 2024; Agent4IR[at]AAAI 2025; and Agent4IR[at]KDD 2025, Revised Selected Papers | Qingsong Wen (u. a.) | Taschenbuch | x | Englisch | 2026 | Springer | EAN 9783032114761 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes revised selected papers from International Workshops on AI Agent for Information Retrieval: Generating and Ranking, Agent4IR, taking place on October 25, 2024, in Boise, USA, and on March 4, 2025, in Pennsylvania, USA, and on August 3, 2025, in Toronto, Canada.The 12 full papers included in the book were carefully reviewed and selected from a total of 38 submissions. They focus on the latest theoretical advancements and practical implementations of AI agents in information retrieval, advance the field and enhance its societal impact. 147 pp. Englisch.…

Hardcover. Condizione: new. Hardcover. Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design models and systems for a wide range of applications. For practitioners and students with basic understanding of machine learning or data science, this book explains how to build models or predictive systems involving user data. Examples range from the algorithms behind recommendations on Amazon or Netflix to more complex scenarios such as personalized fashion, online dating, or personalized health. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. For practitioners and students with basic understanding of machine learning or data science, this book explains how to build models or predictive systems involving user data. Examples range from the algorithms behind recommendations on Amazon or Netflix to .…