Book description

Book info

Author
Title
eBook formatKindle Edition, (torrent)En
PublisherCRC Press
File size2.2 Mb
Release date 09.01.2015
ISBN
Pages count232
Book rating0.7 (0 votes)
 rate rate rate rate rate

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 resources—one 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.


Tags: download, xin liu, ebook, pdf, computational trust models and machine learning

download Xin Liu Computational Trust Models and Machine Learning PDF

Read also

Download from partner sites