Trust Networks for Recommender Systems by Patricia VictorTrust Networks for Recommender Systems by Patricia Victor

Trust Networks for Recommender Systems

byPatricia Victor, Chris Cornelis, Martine De Cock

Paperback | July 15, 2013

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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.
Title:Trust Networks for Recommender SystemsFormat:PaperbackDimensions:202 pages, 23.5 × 15.5 × 0.07 inPublished:July 15, 2013Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9491216392

ISBN - 13:9789491216398

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