.png){kind=logo}
Stock image for illustration purposes only - book cover, edition or condition may vary.
Trust Networks for Recommender Systems
Victor, Patricia; Cornelis, Chris; de Cock, Martine
€ 67.24
FREE Delivery in Ireland
Description for Trust Networks for Recommender Systems
Hardback. Featuring innovative contributions to the field such as a new bilattice-based model for trust and distrust, this book on a hot research topic is the first in-depth study of the potential of distrust in the emerging domain of trust-enhanced recommendation. Series: Atlantis Computational Intelligence Systems. Num Pages: 215 pages, 26 black & white tables, biography. BIC Classification: KJE; KJS; UYF; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 491.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2011
Publisher
Atlantis Press (Zeger Karssen) Netherlands
Number of pages
215
Condition
New
Series
Atlantis Computational Intelligence Systems
Number of Pages
202
Place of Publication
, Netherlands
ISBN
9789491216077
SKU
V9789491216077
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Trust Networks for Recommender Systems