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Trust Networks for Recommender Systems
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 m...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Paris :
Atlantis Press : Imprint: Atlantis Press,
2011.
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| Edición: | 1st ed. 2011. |
| Colección: | Atlantis Computational Intelligence Systems,
4 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-94-91216-08-4 | ||
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| 020 | |a 9789491216084 |9 978-94-91216-08-4 | ||
| 024 | 7 | |a 10.2991/978-94-91216-08-4 |2 doi | |
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| 100 | 1 | |a Victor, Patricia. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Trust Networks for Recommender Systems |h [electronic resource] / |c by Patricia Victor, Chris Cornelis, Martine De Cock. |
| 250 | |a 1st ed. 2011. | ||
| 264 | 1 | |a Paris : |b Atlantis Press : |b Imprint: Atlantis Press, |c 2011. | |
| 300 | |a XIII, 202 p. |b online resource. | ||
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| 490 | 1 | |a Atlantis Computational Intelligence Systems, |x 2215-1710 ; |v 4 | |
| 520 | |a 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. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Logic design. | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Logic Design. |
| 700 | 1 | |a Cornelis, Chris. |e author. |0 (orcid)0000-0002-7854-6025 |1 https://orcid.org/0000-0002-7854-6025 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a De Cock, Martine. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9789491216398 |
| 776 | 0 | 8 | |i Printed edition: |z 9789491216077 |
| 776 | 0 | 8 | |i Printed edition: |z 9789491216091 |
| 830 | 0 | |a Atlantis Computational Intelligence Systems, |x 2215-1710 ; |v 4 | |
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| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||