Computational Trust Models and Machine Learning

Explore the intricate world of trust in computing with Computational Trust Models and Machine Learning by Xin Liu. Published by Taylor & Francis Ltd in 2020, this insightful paperback spans 232 pages, offering a comprehensive introduction to trust concepts and their applications across various domains in computer science.

In this book, Liu identifies the challenges associated with traditional trust modeling approaches and presents innovative machine learning techniques that enhance the accuracy of trust assessments. Whether you are a researcher, a student, or a professional in the field, this text will equip you with the knowledge to navigate the complexities of trust in digital environments.

Don't miss the opportunity to deepen your understanding of computational trust and machine learning with this essential resource!