Computational trust models and machine learning
This book provides an introduction to computational trust models from a machine learning perspective. After reviewing traditional computational trust models, it discusses a new trend of applying formerly unused machine learning methodologies, such as supervised learning. The application of various l...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton :
Taylor & Francis
[2015]
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| Edition: | 1st edition |
| Series: | Chapman & Hall/CRC machine learning & pattern recognition series.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628751706719 |
Table of Contents:
- Front Cover; Series Page; Dedication; Contents; List of Figures; Preface; About the Editors; Contributors; Chapter 1: Introduction; Chapter 2: Trust in Online Communities; Chapter 3: Judging the Veracity of Claims and Reliability of Sources with Fact-Finders; Chapter 4: Web Credibility Assessment; Chapter 5: Trust-Aware Recommender Systems; Chapter 6: Biases in Trust-Based Systems; Bibliography; Back Cover
