Recommender Systems: An Introduction

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9780521493369: Recommender Systems: An Introduction

In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems.

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Book Description:

'Behind the modest title of 'An Introduction' lies the type of work the field needs to consolidate its learning and move forward to address new challenges. Across the chapters that follow lie both a tour of what the field knows well - a diverse collection of algorithms and approaches to recommendation - and a snapshot of where the field is today as new approaches derived from social computing and the semantic web find their place in the recommender systems toolbox. Let's all hope this worthy effort spurs yet more creativity and innovation to help recommender systems move forward to new heights.' Joseph A. Konstan, from the Foreword

Book Description:

This book offers an overview of approaches to developing state-of-the-art recommender systems that automate a variety of choice-making strategies with the goal of providing affordable, personal, and high-quality recommendations. The authors present algorithmic approaches for generating personalized buying proposals, as well as more interactive and knowledge-based approaches. They discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies.

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Jannach, Dietmar; Zanker, Markus; Felfernig, Alexander; Friedrich, Gerhard
Editore: Cambridge University Press 2010-09-30|NU-GRD-05264591 (2010)
ISBN 10: 0521493366 ISBN 13: 9780521493369
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Descrizione libro Cambridge University Press 2010-09-30|NU-GRD-05264591, 2010. Hardcover. Condizione libro: New. 9780521493369. Codice libro della libreria NU-GRD-05264591

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Jannach, Dietmar; Zanker, Markus; Felfernig, Alexander; Friedrich, Gerhard
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Descrizione libro CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2011. Hardback. Condizione libro: New. 229 x 155 mm. Language: English . Brand New Book. In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems. Codice libro della libreria AAZ9780521493369

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Descrizione libro Cambridge University Press, 2010. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria GB-9780521493369

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Descrizione libro Cambridge University Press. Hardback. Condizione libro: new. BRAND NEW, Recommender Systems: An Introduction, Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedrich, In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems. Codice libro della libreria B9780521493369

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Jannach, Dietmar; Zanker, Markus; Felfernig, Alexander; Friedrich, Gerhard
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ISBN 10: 0521493366 ISBN 13: 9780521493369
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Descrizione libro CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2011. Hardback. Condizione libro: New. 229 x 155 mm. Language: English . Brand New Book. In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to date. Recommender systems automate some of these strategies with the goal of providing affordable, personal, and high-quality recommendations. This book offers an overview of approaches to developing state-of-the-art recommender systems. The authors present current algorithmic approaches for generating personalized buying proposals, such as collaborative and content-based filtering, as well as more interactive and knowledge-based approaches. They also discuss how to measure the effectiveness of recommender systems and illustrate the methods with practical case studies. The final chapters cover emerging topics such as recommender systems in the social web and consumer buying behavior theory. Suitable for computer science researchers and students interested in getting an overview of the field, this book will also be useful for professionals looking for the right technology to build real-world recommender systems. Codice libro della libreria AAZ9780521493369

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Descrizione libro Condizione libro: New. Bookseller Inventory # ST0521493366. Codice libro della libreria ST0521493366

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Descrizione libro Cambridge University Press, 2010. Condizione libro: New. 2010. 1st Edition. Hardcover. This book introduces different approaches to developing recommender systems that automate choice-making strategies to provide affordable, personal, and high-quality recommendations. Num Pages: 352 pages, 72 b/w illus. 29 tables. BIC Classification: UDB; UDV. Category: (P) Professional & Vocational. Dimension: 237 x 158 x 24. Weight in Grams: 638. . . . . . . Codice libro della libreria V9780521493369

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Descrizione libro Cambridge University Press, 2010. Hardcover. Condizione libro: New. Brand New Book. Shipping: Once your order has been confirmed and payment received, your order will then be processed. The book will be located by our staff, packaged and despatched to you as quickly as possible. From time to time, items get mislaid en route. If your item fails to arrive, please contact us first. We will endeavour to trace the item for you and where necessary, replace or refund the item. Please do not leave negative feedback without contacting us first. All orders will be dispatched within two working days. If you have any quesions please contact us. Codice libro della libreria V9780521493369

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Descrizione libro Cambridge University Press, 2010. Condizione libro: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: This book introduces different approaches to developing recommender systems that automate choice-making strategies to provide affordable, personal, and high-quality recommendations. Codice libro della libreria ABE_book_new_0521493366

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Descrizione libro Cambridge University Press, 2010. HRD. Condizione libro: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice libro della libreria I1-9780521493369

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