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|a 9789491216084
|9 978-94-91216-08-4
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|a 10.2991/978-94-91216-08-4
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|a Victor, Patricia.
|e author.
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|a Trust Networks for Recommender Systems
|h [electronic resource] /
|c by Patricia Victor, Chris Cornelis, Martine de Cock.
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|a Paris :
|b Atlantis Press,
|c 2011.
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|a XIII, 202 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
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|a Atlantis Computational Intelligence Systems,
|x 1875-7650 ;
|v 4
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| 520 |
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|a This book describes research performed in the context of trust/distrust propagation and aggregation, and their use in recommender systems. This is a hot research topic with important implications for various application areas. The main innovative contributions of the work are: -new bilattice-based model for trust and distrust, allowing for ignorance and inconsistency -proposals for various propagation and aggregation operators, including the analysis of mathematical properties -Evaluation of these operators on real data, including a discussion on the data sets and their characteristics. -A novel approach for identifying controversial items in a recommender system -An analysis on the utility of including distrust in recommender systems -Various approaches for trust based recommendations (a.o. base on collaborative filtering), an in depth experimental analysis, and proposal for a hybrid approach -Analysis of various user types in recommender systems to optimize bootstrapping of cold start users.
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|a Computer science.
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|a Logic design.
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|a Artificial intelligence.
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|a Computer Science.
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|a Artificial Intelligence (incl. Robotics).
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| 650 |
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|a Logic Design.
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| 700 |
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|a Cornelis, Chris.
|e author.
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| 700 |
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|a de Cock, Martine.
|e author.
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| 710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9789491216077
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| 830 |
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|a Atlantis Computational Intelligence Systems,
|x 1875-7650 ;
|v 4
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|u http://dx.doi.org/10.2991/978-94-91216-08-4
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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| 950 |
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|a Computer Science (Springer-11645)
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