A Trust-Based Fairness Design For Recommendation Systems In The Cyberspace
A Trust-Based Fairness Design For Recommendation Systems In The Cyberspace
By Ayse Kok
This paper investigates the issue of fairness for cyber recommendation systems by adopting a multi-sided concept so that multiple individuals are taken into account regarding multiple outcomes to establish user trust in cyberspace. As a result, a taxonomy of classes of fairness-aware recommender systems is developed along with recommended architectures of awareness-for-fairness.
About the author(s)
Ayse Kok
Dr. Ayse Kok is a policy analyst at the Global Foundation for Cyber Studies and Research. She has extensive experience in the fields of social, mobile and digital technologies both from a professional and a researcher perspective. She participated in various projects in partnership with international organizations such as UN, NATO and the EU. She got her Masters from the Oxford University (UK) and PhD from the Cambridge University (UK).