Trust Networks for Recommender Systems

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 m...

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Bibliographic Details
Main Authors: Victor, Patricia. (Author, http://id.loc.gov/vocabulary/relators/aut), Cornelis, Chris. (http://id.loc.gov/vocabulary/relators/aut), De Cock, Martine. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Paris : Atlantis Press : Imprint: Atlantis Press, 2011.
Edition:1st ed. 2011.
Series:Atlantis Computational Intelligence Systems, 4
Subjects:
Online Access:https://doi.org/10.2991/978-94-91216-08-4
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Summary: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.
Physical Description:XIII, 202 p. online resource.
ISBN:9789491216084
ISSN:1875-7650 ;