Bültmann & Gerriets
Computational Trust Models and Machine Learning
von Xin Liu, Anwitaman Datta, Ee-Peng Lim
Verlag: Taylor & Francis
E-Book / EPUB
Kopierschutz: kein Kopierschutz

Hinweis: Nach dem Checkout (Kasse) wird direkt ein Link zum Download bereitgestellt. Der Link kann dann auf PC, Smartphone oder E-Book-Reader ausgeführt werden.
E-Books können per PayPal bezahlt werden. Wenn Sie E-Books per Rechnung bezahlen möchten, kontaktieren Sie uns bitte.

ISBN: 978-1-04-007224-0
Erschienen am 29.10.2014
Sprache: Englisch

Preis: 61,49 €

61,49 €
merken
zum E-Book (PDF) 61,99 €
Klappentext
Biografische Anmerkung
Inhaltsverzeichnis

This book provides a detailed introduction to the concept of trust and its application in various computer science areas. Identifying trust modeling challenges that cannot be addressed by traditional approaches, this text effectively demonstrates how novel machine learning techniques can improve the accuracy of trust assessment. It explains how reputation-based systems are used to determine trust in diverse online communities, discusses collaborative filtering-based trust aware recommendation systems, and investigates the objectivity of human feedback, emphasizing the need to filter out outlying opinions to ensure credibility.



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



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.


andere Formate