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Computational Trust Models and Machine Learning

Liu Xin Datta Anwitaman Lim Ee-Peng
Heftet / 2020 / Engelsk

Produktdetaljer

ISBN
9780367739331
Publisert
2020-12-18
Utgiver
Vendor
Chapman & Hall/CRC
Vekt
1140 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, G, 05, 01
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
232

Redaktør
Liu Xin
Datta Anwitaman
Lim Ee-Peng

Om bidragsyterne

Xin Liu is currently a postdoctoral researcher in the Laboratoire de Systèmes d'Informations Répartis, led by Professor Karl Aberer, at École Polytechnique Fédérale 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 on Asian Digital Libraries, Pacific Asia Conference on Knowledge Discovery and Data Mining, and International Conference on Social Informatics.

Computational Trust Models and Machine Learning

Liu Xin Datta Anwitaman Lim Ee-Peng
Heftet / 2020 / Engelsk
Liu Xin Datta Anwitaman Lim Ee-Peng
Heftet / 2020 / Engelsk
Nettpris:
690,-
Levering 7-20 dager
Sjekk lagerstatus i butikk
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 how reputation-based systems are used to determine trust in diverse online communitiesDescribes how machine learning techniques are employed to build robust reputation systemsExplores two distinctive approaches to determining credibility of resources—one where the human role is implicit, and one that leverages human input explicitlyShows how decision support can be facilitated by computational trust modelsDiscusses collaborative filtering-based trust aware recommendation systemsDefines a framework for translating a trust modeling problem into a learning problemInvestigates the objectivity of human feedback, emphasizing the need to filter out outlying opinionsComputational Trust Models and Machine Learning effectively demonstrates how novel machine learning techniques can improve the accuracy of trust assessment.
Les mer
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
Les mer
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.
Les mer

Relaterte produkter

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 how reputation-based systems are used to determine trust in diverse online communitiesDescribes how machine learning techniques are employed to build robust reputation systemsExplores two distinctive approaches to determining credibility of resources—one where the human role is implicit, and one that leverages human input explicitlyShows how decision support can be facilitated by computational trust modelsDiscusses collaborative filtering-based trust aware recommendation systemsDefines a framework for translating a trust modeling problem into a learning problemInvestigates the objectivity of human feedback, emphasizing the need to filter out outlying opinionsComputational Trust Models and Machine Learning effectively demonstrates how novel machine learning techniques can improve the accuracy of trust assessment.
Les mer
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
Les mer
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.
Les mer

Produktdetaljer

ISBN
9780367739331
Publisert
2020-12-18
Utgiver
Vendor
Chapman & Hall/CRC
Vekt
1140 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, G, 05, 01
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
232

Redaktør
Liu Xin
Datta Anwitaman
Lim Ee-Peng

Om bidragsyterne

Xin Liu is currently a postdoctoral researcher in the Laboratoire de Systèmes d'Informations Répartis, led by Professor Karl Aberer, at École Polytechnique Fédérale 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 on Asian Digital Libraries, Pacific Asia Conference on Knowledge Discovery and Data Mining, and International Conference on Social Informatics.

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