Title :
Deviation Methods via Social Review Graph in Evaluation Systems of Online Store
Author :
Xiujuan Xu;Xiaowei Zhao;Yu Liu;Zhenzhen Xu;Zhenlong Xu
Author_Institution :
Sch. of Software, Dalian Univ. of Technol., Dalian, China
fDate :
5/1/2014 12:00:00 AM
Abstract :
Evaluation system is an important issue in data mining. In evaluation system, all reviewers try to assign fair scores on a set of object. We want to obtain fair reviewers for all objects. However, it is the real fact that reviewer may deviate in their score assigned to the same object. Therefore, the deviation is unavoidable in evaluation systems. In this paper we define deviation of evaluation systems. Then, two novel methods are constructed to measure deviation: deviation from Correct-Core viewers and deviation from MaxGap-Coreviewers. The experimental results show that the proposed measure methods are efficient and can be used to solve deviation problem in evaluation systems effectively.
Keywords :
"Standards","Histograms","Business","Algorithm design and analysis","Databases","Data mining","Web pages"
Conference_Titel :
Service Sciences (ICSS), 2014 International Conference on
DOI :
10.1109/ICSS.2014.27