Description
Book SynopsisComputational 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
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Table of Contents
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.
