Recommender Systems Pdf

Edition: 1
Release: 2010-09-30
Publisher: Cambridge University Press
Binding: Hardcover
ISBN/ASIN: 0521493366



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. Free download Recommender Systems books collection in PDF, EPUB, FB2, MOBI, and TXT formats. 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. Best deals ebooks download Recommender Systems on amazon.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. Recommender Systems: An Introduction with free ebook downloads available via rapidshare, mediafire, 4shared, and hotfile.

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