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- Includes supplementary material: sn.pub/extras
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
“This book presents the results of research conducted in the course of a doctoral study on improving recommendations on the web. … I recommend this book to graduate students and researchers in the field of recommender systems and the social web. It can also serve as inspiration on how to conduct user studies for evaluating various information processing approaches.” (M. Bielikova, Computing Reviews, December, 2013)
Authors and Affiliations
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, Fakultät für Informatik, TU Dortmund, Dortmund, Germany
Fatih Gedikli
About the author
Dr. Fatih Gedikli is a research assistant in computer science at TU Dortmund, Germany.
Bibliographic Information
Book Title: Recommender Systems and the Social Web
Book Subtitle: Leveraging Tagging Data for Recommender Systems
Authors: Fatih Gedikli
DOI: https://doi.org/10.1007/978-3-658-01948-8
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Fachmedien Wiesbaden 2013
Softcover ISBN: 978-3-658-01947-1Published: 10 April 2013
eBook ISBN: 978-3-658-01948-8Published: 29 March 2013
Edition Number: 1
Number of Pages: XI, 112
Number of Illustrations: 15 b/w illustrations, 14 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Information Storage and Retrieval, User Interfaces and Human Computer Interaction
Industry Sectors: Aerospace, Biotechnology, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications