Description: Recommender Systems : An Introduction, Hardcover by Jannach, Dietmar; Zanker, Markus; Felfernig, Alexander; Friedrich, Gerhard, ISBN 0521493366, ISBN-13 9780521493369, Brand New, Free shipping in the US 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 Title: Recommender Systems : An Introduction
Number of Pages: 352 Pages
Language: English
Publication Name: Recommender Systems : an Introduction
Publisher: Cambridge University Press
Item Height: 1 in
Publication Year: 2010
Subject: Mobile & Wireless Communications, System Administration / Storage & Retrieval, Databases / General
Type: Textbook
Item Weight: 21.2 Oz
Subject Area: Computers, Technology & Engineering
Item Length: 9.1 in
Author: Markus Zanker, Dietmar Jannach, Alexander Felfernig, Gerhard Friedrich
Item Width: 6.1 in
Format: Hardcover
