Authors:
- Includes the first in-depth investigation of the potential of distrust in the newly emerging domain of trust-enhanced recommendation
- Puts the budding field of trust-enhanced recommender systems more prominently on the map
- Tackles topical problems in the recommender systems domain such as the identification and recommendations of controversial items, and the mitigation of the cold start problem by offering connection guidance to new users
- Includes supplementary material: sn.pub/extras
Part of the book series: Atlantis Computational Intelligence Systems (ATLANTISCIS, volume 4)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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, Dept. of Applied Mathematics and Compute, University of Gent, Gent, Belgium
Patricia Victor, Martine de Cock
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, Department of Applied Mathematics and, Ghent University, Gent, Belgium
Chris Cornelis
Bibliographic Information
Book Title: Trust Networks for Recommender Systems
Authors: Patricia Victor, Chris Cornelis, Martine de Cock
Series Title: Atlantis Computational Intelligence Systems
DOI: https://doi.org/10.2991/978-94-91216-08-4
Publisher: Atlantis Press Paris
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Atlantis Press 2011
Hardcover ISBN: 978-94-91216-07-7Published: 08 May 2011
Softcover ISBN: 978-94-91216-39-8Published: 15 July 2013
eBook ISBN: 978-94-91216-08-4Published: 03 May 2011
Series ISSN: 1875-7650
Series E-ISSN: 2215-1710
Edition Number: 1
Number of Pages: XIII, 202
Topics: Artificial Intelligence, Logic Design
