Victor / Cornelis / De Cock Trust Networks for Recommender Systems

1. Auflage 2011
ISBN: 978-94-91216-08-4
Verlag: Atlantis Press
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 4, 202 Seiten, eBook

Reihe: Atlantis Computational Intelligence 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.

Zielgruppe

Research

Autoren/Hrsg.

Victor, Patricia

Cornelis, Chris

De Cock, Martine