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Computational Trust Models and Machine Learning
Language
English
English
Book
Hardback
Computational Trust Models and Machine Learning provides a detailed introduction to the concept of t...
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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 communities
- Describes how machine learning techniques are employed to build robust reputation systems
- Explores two distinctive approaches to determining credibility of resourcesone where the human role is implicit, and one that leverages human input explicitly
- Shows how decision support can be facilitated by computational trust models
- Discusses collaborative filtering-based trust aware recommendation systems
- Defines a framework for translating a trust modeling problem into a learning problem
- Investigates the objectivity of human feedback, emphasizing the need to filter out outlying opinions
Computational Trust Models and Machine Learning effectively demonstrates how novel machine learning techniques can improve the accuracy of trust assessment.
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About the book
Full name
Computational Trust Models and Machine Learning
Author
Xin Liu
Language
English
English
Binding
Book - Hardback
Date of issue
2014
Number of pages
232
EAN
9781482226669
ISBN
9781482226669
Libristo code
06677866
Publishers
Apple Academic Press Inc.
Weight
470
Dimensions
158 x 241 x 18
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