University Of Tasmania

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

conference contribution
posted on 2023-05-23, 11:37 authored by Huang, X, Huang, W, Lai, W
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.


Publication title

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence (SSCI 2016)






School of Information and Communication Technology


Institute of Electrical and Electronics Engineers

Place of publication

United States of America

Event title

2016 IEEE Symposium Series on Computational Intelligence (SSCI 2016)

Event Venue

Athens, Greece

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2016 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in the information and computing sciences

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