Trust Networks for Recommender Systems
1st Edition
Published on 3. May 2011
XIII, 202 pages
978-94-91216-08-4 (ISBN)
Description
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.
More details
Other editions
Additional editions
Patricia Victor | Chris Cornelis | Martine De Cock
Trust Networks for Recommender Systems
Book
07/2013
Atlantis Press (Zeger Karssen)
€53.49
Shipment within 10-15 days
Patricia Victor | Chris Cornelis | Martine De Cock
Trust Networks for Recommender Systems
Book
05/2011
Atlantis Press (Zeger Karssen)
€53.49
Shipment within 10-15 days
Content
- Intro
- Trust Networks for Recommender Systems
- Foreword
- Preface
- Contents
- 1 Introduction
- 2 Trust Models
- 3 Trust Propagation
- 4 Trust Aggregation
- 5 Social Recommender Systems
- 6 Trust & Distrust-Based Recommendations
- 7 Connection Guidancefor Cold Start Users
- 8 Conclusions
- Bibliography
- Subject Index
