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UIP: estimating true rating scores of services through online user communities


Huang, X and Huang, W and Lai, W, UIP: estimating true rating scores of services through online user communities, Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence (SSCI 2016), 6-9 December 2016, Athens, Greece, pp. 1-7. ISBN 978-1-5090-4240-1 (2016) [Refereed Conference Paper]

Copyright Statement

Copyright 2016 IEEE

DOI: doi:10.1109/SSCI.2016.7849918


As many online systems rely on user ratings for making decisions such as recommendations, the quality of such rating scores are increasingly important. On the other hand, users interact with each other via online communities. How such interactions affect the trueness of their ratings? Can we obtain the true rating scores that exclude the influences among users? This paper presents a conceptual framework that characterizes the influences on quality of services among users, and an algorithm that estimates the true rating scores by minimizing the influence among users. In other words, the influence on users' ratings due to their interactions is minimized so as to obtain the more accurate rating scores. The proposed approach has been validated by experimenting on real data sets. The results of the experiments have demonstrated that our approach is capable of estimating true ratings.

Item Details

Item Type:Refereed Conference Paper
Keywords:information visualization
Research Division:Information and Computing Sciences
Research Group:Library and information studies
Research Field:Human information interaction and retrieval
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Huang, W (Dr Tony Huang)
ID Code:112922
Year Published:2016
Deposited By:Information and Communication Technology
Deposited On:2016-12-04
Last Modified:2017-11-13
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