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 ...
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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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Add this copy of Recommender Systems: an Introduction to cart. £19.73, good condition, Sold by ZBK Books rated 5.0 out of 5 stars, ships from Woodland Park, NJ, UNITED STATES, published 2010 by Cambridge University Press.
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It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
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Very good. No dust jacket. Ex-library. 352 p. Audience: Professional and scholarly. LCCN 2010021870 Type of material Book Main title Recommender systems: an introduction / Dietmar Jannach...[et al.]. Published/Created New York: Cambridge University Press, 2011. Description 335 p.; 24 cm. ISBN 9780521493369 (hardback) 0521493366 (hardback) LC classification TK5103.485. R43 2011 Related names Jannach, Dietmar, 1973-Subjects Personal communication service systems. Recommender systems (Information filtering) Notes Includes bibliographical references and index. Dewey class no. 006.3/3 Other system no. (OCoLC)ocn645789647
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Cover may have light wear pages in very good condition and binding is sturdy; may have other light shelf wear or creases. May have notes or highlighting.
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