Trust for Intelligent Recommendation

• Main Author: Bhuiyan, Touhid. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Computer science.; Data mining.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Information Systems Applications (incl. Internet).; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-6895-0

Recommender systems are one of the recent inventions to deal with the ever-growing information overload in relation to the selection of goods and services in a global economy. Collaborative Filtering (CF) is one of the most popular techniques in recommender systems. The CF recommends items to a targ...

Table of Contents:

• Introduction
• Literature Review
• Trust Inferences using Subjective Logic
• Online Survey on Trust and Interest Similarity
• SimTrust: The Algorithm for Similarity-based Trust Network Generation
• Experiments and Evaluation
• Conclusions
• Appendix A: Sample Survey Questions
• Appendix B:� Glossary of Terms and Abbreviations
• Appendix C:� Combining Trust & Reputation Management.