Trust Networks for Recommender Systems
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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.
![Trust Networks for Recommender Systems Trust Networks for Recommender Systems](https://cos.richshop.de/servlet/images/9789491216084.jpg?w=300)
- Autor: Martine De Cock / Chris Cornelis / Patricia Victor
- Format: PDF
- DRM: social-drm (ohne Kopierschutz)
- Erscheinungsdatum: 03.05.2011
- Herausgeber: ATLANTIS PRESS