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Trust Networks for Recommender Systems

by Victor, Patricia.
Authors: Cornelis, Chris.%author. | de Cock, Martine.%author. | SpringerLink (Online service) Series: Atlantis Computational Intelligence Systems, 1875-7650 ; . 4 Physical details: XIV, 202 p. online resource. ISBN: 9491216082 Subject(s): Computer science. | Logic design. | Artificial intelligence. | Computer Science. | Artificial Intelligence (incl. Robotics). | Logic Design.
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E-Book E-Book AUM Main Library 006.3 (Browse Shelf) Not for loan

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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