Trust Networks for Recommender Systems
β Patricia Victor, Chris Cornelis, Martine De Cock
π Library
π
2011
π ATLANTIS PRES
π English
β¦ LIBER β¦
π
Trust Networks for Recommender Systems
β Scribed by Patricia Victor, Chris Cornelis, Martine de Cock (auth.)
- Publisher
- Atlantis Press
- Year
- 2011
- Tongue
- English
- Leaves
- 210
- Series
- Atlantis Computational Intelligence Systems 4
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ 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.
β¦ Table of Contents
Front Matter....Pages i-xiii
Introduction....Pages 1-7
Trust Models....Pages 9-22
Trust Propagation....Pages 23-50
Trust Aggregation....Pages 51-90
Social Recommender Systems....Pages 91-107
Trust and Distrust-Based Recommendations....Pages 109-153
Connection Guidance for Cold Start Users....Pages 155-187
Conclusions....Pages 189-191
Back Matter....Pages 193-202
β¦ Subjects
Artificial Intelligence (incl. Robotics);Logic Design
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