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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Information providers are a very promising application area of recommender systems due to the general problem of assessing the quality of information products prior to the purchase. Recommender systems automatically generate product recommendations: customers profit from a faster finding of relevant products, stores profit from rising sales. All aspects of recommender systems are covered: the economic background, mechanism design, a survey of systems in the Internet, statistical methods and algorithms, service oriented architectures, user interfaces, as well as experiences and data from real-world applications. Specific solutions for areas with strong privacy concerns, scalability issues for large collections of products, as well as algorithms to lessen the cold-start problem for a faster return on investment of recommender projects are addressed. This book describes all steps it takes to design, implement, and successfully operate a recommender system for a specific information platform.
Bibliographic Information
Book Title: Recommender Systems for Information Providers
Book Subtitle: Designing Customer Centric Paths to Information
Authors: Andreas W. Neumann
Series Title: Contributions to Management Science
DOI: https://doi.org/10.1007/978-3-7908-2134-5
Publisher: Physica Heidelberg
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Physica-Verlag Heidelberg 2009
Hardcover ISBN: 978-3-7908-2133-8Published: 20 March 2009
Softcover ISBN: 978-3-7908-2578-7Published: 21 October 2010
eBook ISBN: 978-3-7908-2134-5Published: 03 March 2009
Series ISSN: 1431-1941
Series E-ISSN: 2197-716X
Edition Number: 1
Number of Pages: X, 158
Number of Illustrations: 47 b/w illustrations
Topics: IT in Business, Library Science, e-Commerce/e-business
Industry Sectors: Automotive, Biotechnology, Finance, Business & Banking, IT & Software, Pharma, Telecommunications