Using machine learning methods in a personalized reputation system

0396904 - ÚI 2014 RIV US eng C - Conference Paper (international conference)
Pejla, J. - Holeňa, Martin
Using machine learning methods in a personalized reputation system.
ITAT 2013: Information Technologies - Applications and Theory Workshops, Posters, and Tutorials. North Charleston: CreateSpace Independent Publishing Platform, 2013 - (Vinař, T.; Holeňa, M.; Lexa, M.; Peška, L.; Vojtáš, P.), s. 104-110. ISBN 978-1-4909-5208-6.
[ITAT 2013. Conference on Theory and Practice of Information Technologies. Donovaly (SK), 11.09.2013-15.09.2013]
R&D Projects: GA ČR GA13-17187S
Institutional support: RVO:67985807
Keywords : reputation systems * reputation propagation * reputation prediction * artificial neural networks * decision trees
Subject RIV: IN - Informatics, Computer Science

Reputation systems become more and more important in the on-line and e-commerce communities. Example widespread on-line system where reputation could be used is information system which allows users to rate each other and express their experiences and opinions on some products or services. In this paper, we are interested in reputation of others from the perspective of one user. This reputation is called personalized and users can make use of it to find out proper information about certain products. We implement personalized reputation system for information systems using machine learning methods. Our system incorporates artificial neural networks and random forests as well as a standard heuristic method, and it has been tested on a large real world dataset.
Permanent Link: http://hdl.handle.net/11104/0224572