Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>
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.
| Autorius: | Patricia Victor, Martine De Cock, Chris Cornelis, |
| Serija: | Atlantis Computational Intelligence Systems |
| Leidėjas: | Atlantis Press |
| Išleidimo metai: | 2011 |
| Knygos puslapių skaičius: | 216 |
| ISBN-10: | 9491216074 |
| ISBN-13: | 9789491216077 |
| Formatas: | 241 x 160 x 15 mm. Knyga kietu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Trust Networks for Recommender Systems“
