Computational trust models and machine learning
Liu, Xin
Datta, Anwitaman.
Lim, Ee-Peng.
(Mathematician)
text
bibliography
flu
Boca Raton, FL
CRC Press
[2015] ©2015
2014
monographic
eng
Eng
lis
h
xxiv, 208 pages : illustrations, charts ; 24 cm.
"This book provides an introduction to computational trust models from a machine learning perspective. After reviewing traditional computational trust models, it discusses a new trend of applying formerly unused machine learning methodologies, such as supervised learning. The application of various learning algorithms, such as linear regression, matrix decomposition, and decision trees, illustrates how to translate the trust modeling problem into a (supervised) learning problem. The book also shows how novel machine learning techniques can improve the accuracy of trust assessment compared to traditional approaches"--
1. Introduction --
2. Trust in online communities --
3. Judging the veracity of claims and reliability of sources --
4. Web credibility assessment --
5. Trust-aware recommender systems --
6. Biases in trust-based systems.
editors Xin Liu; Anwitaman Datta and Ee-Peng Lim,
Includes bibliographical references (pages 175-201) and index.
Computational intelligence
Machine learning
Truthfulness and falsehood
COMPUTERS / Machine Theory
COMPUTERS / Software Development & Engineering / Systems Analysis & Design
TECHNOLOGY & ENGINEERING / Electronics / General
Mathematical models
006.31
COM037000 COM051240 TEC008000
Chapman & Hall/CRC machine learning & pattern recognition series
9781482226669 (hardback)
140718
20190906112300.0