Computational Trust Models and Machine Learning: 1st Edition (e-Book) book cover

Computational Trust Models and Machine Learning

1st Edition

Edited by Xin Liu, Anwitaman Datta, Ee-Peng Lim

Chapman and Hall/CRC

232 pages

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Hardback: 9781482226669
pub: 2014-10-29
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pub: 2014-10-29
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Description

Computational Trust Models and Machine Learning provides a detailed introduction to the concept of trust and its application in various computer science areas, including multi-agent systems, online social networks, and communication systems. Identifying trust modeling challenges that cannot be addressed by traditional approaches, this book:Explains

Table of Contents

Introduction. Trust in Online Communities. Judging the Veracity of Claims and Reliability of Sources with Fact-Finders. Web Credibility Assessment. Trust-Aware Recommender Systems. Biases in Trust-Based Systems.

About the Editors

Xin Liu is currently a postdoctoral researcher in the Laboratoire de Systemes d'Informations Repartis, led by Professor Karl Aberer, at ecole Polytechnique Federale de Lausanne (EPFL), Switzerland. Before joining EPFL, Xin received his Ph.D in computer science from Nanyang Technological University in Singapore, supervised by Associate Professor Anwitaman Datta. His current research interests include recommender systems, trust and reputation systems, social computing, and distributed computing. His papers have been accepted at several prestigious academic events, and he has been a program committee member and reviewer for numerous international conferences and journals.

Anwitaman Datta is an associate professor at Nanyang Technological University, Singapore, where he leads the Self-* Aspects of Networked and Distributed Systems Research Group and teaches courses on security management and cryptography and network security. Well published, he has focused his research on P2P storage, decentralized online social networks, structured overlays, and computational trust. His current research interests include the design of resilient large-scale distributed systems, coding for storage, security and privacy, and social media analysis. His projects have been funded by the Singapore Ministry of Education, HP Labs Innovation Research Award, and more.

Ee-Peng Lim is a professor at Singapore Management University (SMU), co-director of the SMU/Carnegie Mellon University Living Analytics Research Center, and associate editor of numerous journals and publications. He holds a Ph.D from the University of Minnesota, Minneapolis, USA and a B.Sc from the National University of Singapore. His current research interests include social network and web mining, information integration, and digital libraries. A former ACM Publications Board member, he currently serves on the steering committees of the International Conference o

Subject Categories

BISAC Subject Codes/Headings:
COM037000
COMPUTERS / Machine Theory
COM051240
COMPUTERS / Software Development & Engineering / Systems Analysis & Design
TEC008000
TECHNOLOGY & ENGINEERING / Electronics / General