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Trust Networks for Recommender Systems (Atlantis Computational Intelligence Systems #4) [9789491216398]

Paperback
SKU: 9789491216398
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Format Lightweight and affordable. Perfect for student groups and classrooms, and a versatile option for corporate trainings, team reads, or large-scale events.

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Overview

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.

The book, Trust Networks for Recommender Systems (Atlantis Computational Intelligence Systems #4) [Bulk, Wholesale, Quantity] ISBN#9789491216398 in Paperback by Martine De Cock, Patricia Victor, Chris Cornelis may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:
Patricia Victor Chris Cornelis Martine De Cock
Format:
Paperback
Publication Date:
07/15/2013
ISBN-13:
9789491216398
Pages:
202
Publisher:
Atlantis Press

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