: Patricia Victor, Chris Cornelis, Martine De Cock
: Trust Networks for Recommender Systems
: Atlantis Press
: 9789491216084
: 1
: CHF 47.50
:
: Anwendungs-Software
: English
: 202
: Wasserzeichen
: PC/MAC/eReader/Tablet
: PDF
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.