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- Author: Patricia Victor
- Publisher: Atlantis Press
- Year: 2013
- Pages: 202
- ISBN-10: 9491216392
- ISBN-13: 9789491216398
- Format: 15.7 x 23.2 x 1.3 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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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.
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- Author: Patricia Victor
- Publisher: Atlantis Press
- Year: 2013
- Pages: 202
- ISBN-10: 9491216392
- ISBN-13: 9789491216398
- Format: 15.7 x 23.2 x 1.3 cm, minkšti viršeliai
- Language: English English
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.
Reviews