TY  - BOOK
AU  - Liu,Xin
AU  - Datta,Anwitaman
AU  - Lim,Ee-Peng
AU  - 
TI  - Computational trust models and machine learning
T2  - Chapman & Hall/CRC machine learning & pattern recognition series
SN  - 9781482226669 (hardback)
U1  - 006.31 23
PY  - 2015///] ©2015
CY  - Boca Raton, FL : 
PB  - CRC Press
KW  - Computational intelligence
KW  - Machine learning
KW  - Truthfulness and falsehood
KW  - COMPUTERS / Machine Theory
KW  - COMPUTERS / Software Development & Engineering / Systems Analysis & Design
KW  - TECHNOLOGY & ENGINEERING / Electronics / General
KW  - Mathematical models
KW  - bisacsh
N1  - Includes bibliographical references (pages 175-201) and index; 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
N2  - "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"--
ER  -