Trust Networks for Recommender Systems (Hardcover, Edition. ed.)

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.

General

Imprint:	Atlantis Press (Zeger Karssen)
Country of origin:	Netherlands
Series:	Atlantis Computational Intelligence Systems, 4
Release date:	May 2011
First published:	2011
Authors:	Patricia Victor • Chris Cornelis • Martine de Cock
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	202
Edition:	Edition. ed.
ISBN-13:	978-9491216077
Categories:	Books > Business & Economics > Business & management > E-commerce Books > Business & Economics > Business & management > Sales & marketing > General Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	9491216074
Barcode:	9789491216077

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