Trust Networks for Recommender Systems / by Patricia Victor, Chris Cornelis, Martine De Cock.

Format:

Book

Author/Creator:

Victor, Patricia, author.

Cornelis, Chris, author.

Cock, Martine de, author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Atlantis computational intelligence systems 1875-7650 ; 4.

Atlantis Computational Intelligence Systems, 1875-7650 ; 4

Language:

English

Subjects (All):

Artificial intelligence.

Logic design.

Artificial Intelligence.

Logic Design.

Local Subjects:

Artificial Intelligence.

Logic Design.

Physical Description:

1 online resource (XIII, 202 pages).

Edition:

First edition 2011.

Contained In:

Springer eBooks

Place of Publication:

Paris : Atlantis Press : Imprint: Atlantis Press, 2011.

System Details:

text file PDF

Summary:

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.

Other Format:

Printed edition:

ISBN:

978-94-91216-08-4

9789491216084

Access Restriction:

Restricted for use by site license.