Trust Networks for Recommender Systems
(Sprache: Englisch)
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.
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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.
Klappentext zu „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 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.
Bibliographische Angaben
- Autoren: Patricia Victor , Chris Cornelis , Martine De Cock
- 2013, XIII, 202 Seiten, Maße: 15,7 x 23,7 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9491216392
- ISBN-13: 9789491216398
Sprache:
Englisch
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