Computational Trust Models and Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

ISBN 10: 1482226669 / ISBN 13: 9781482226669

Verlag: Chapman and Hall/CRC, 2014

Beschreibung

Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Bestandsnummer des Verkäufers S_364891958

Bibliografische Details

Titel: Computational Trust Models and Machine ...

Verlag: Chapman and Hall/CRC

Erscheinungsdatum: 2014

Einband: hardcover

Zustand: Good

Über diesen Titel

Reseña del editor:

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.