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Computational trust models and machine learning / / edited by Xin Liu, EPFL, Lausanne, Switzerland, Anwitaman Datta, Nanyang Technological University, Singapore, Ee-Peng Lim, Singapore Management University



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Titolo: Computational trust models and machine learning / / edited by Xin Liu, EPFL, Lausanne, Switzerland, Anwitaman Datta, Nanyang Technological University, Singapore, Ee-Peng Lim, Singapore Management University Visualizza cluster
Pubblicazione: Boca Raton : , : Taylor & Francis, , [2015]
©2015
Edizione: 1st edition
Descrizione fisica: 1 online resource (227 p.)
Disciplina: 006.31
Soggetto topico: Computational intelligence
Machine learning
Truthfulness and falsehood - Mathematical models
Classificazione: COM037000COM051240TEC008000
Persona (resp. second.): LiuXin (Mathematician)
DattaAnwitaman
LimEe-Peng
Note generali: A Chapman and Hall book.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Front Cover; Series Page; Dedication; Contents; List of Figures; Preface; About the Editors; Contributors; Chapter 1: Introduction; Chapter 2: Trust in Online Communities; Chapter 3: Judging the Veracity of Claims and Reliability of Sources with Fact-Finders; Chapter 4: Web Credibility Assessment; Chapter 5: Trust-Aware Recommender Systems; Chapter 6: Biases in Trust-Based Systems; Bibliography; Back Cover
Sommario/riassunto: 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--
Titolo autorizzato: Computational trust models and machine learning  Visualizza cluster
ISBN: 0-429-15948-X
1-4822-2667-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910806148303321
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Serie: Chapman & Hall/CRC machine learning & pattern recognition series.