106,33 €
125,09 €
-15% su kodu: ENG15
Trust Networks for Recommender Systems
106,33 € 
- Išsiųsime per 10–14 d.d.
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 th…
106.33
2025-07-13 23:59:00
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- Autorius: Patricia Victor
- Leidėjas: Atlantis Press
- Metai: 2013
- Puslapiai: 202
- ISBN-10: 9491216392
- ISBN-13: 9789491216398
- Formatas: 15.7 x 23.2 x 1.3 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
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Aprašymas
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.EXTRA 15 % nuolaida su kodu: ENG15
106,33 €
125,09 €
Išsiųsime per 10–14 d.d.
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- Autorius: Patricia Victor
- Leidėjas: Atlantis Press
- Metai: 2013
- Puslapiai: 202
- ISBN-10: 9491216392
- ISBN-13: 9789491216398
- Formatas: 15.7 x 23.2 x 1.3 cm, minkšti viršeliai
- Kalba: Anglų
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.
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