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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.
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