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Item Details
Title: TRUST NETWORKS FOR RECOMMENDER SYSTEMS
By: Patricia Victor, Chris Cornelis, Martine de Cock
Format: Paperback

List price: £90.00


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 9491216392
ISBN 13: 9789491216398
Publisher: ATLANTIS PRESS (ZEGER KARSSEN)
Pub. date: 14 July, 2013
Edition: Edition. ed.
Series: Atlantis Computational Intelligence Systems 4
Pages: 202
Description: Featuring innovative contributions to the field such as a new bilattice-based model for trust and distrust, this book on a hot research topic is the first in-depth study of the potential of distrust in the emerging domain of trust-enhanced recommendation.
Synopsis: 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.
Illustrations: 26 Tables, black and white; XIII, 202 p.
Publication: Netherlands
Imprint: Atlantis Press (Zeger Karssen)
Returns: Returnable
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