Reputation Management in Crowdsourcing Systems

被引：40

作者：

Allahbakhsh, Mohammad ^{[1
]}

Ignjatovic, Aleksandar ^{[1
]}

Benatallah, Boualem ^{[1
]}

Beheshti, Seyed-Mehdi-Reza ^{[1
]}

Bertino, Elisa ^{[2
]}

Foo, Norman ^{[1
]}

机构：

[1] Univ New South Wales, Sydney, NSW 2052, Australia

[2] Purdue Univ, W Lafayette, IN 47907 USA

来源：

PROCEEDINGS OF THE 2012 8TH INTERNATIONAL CONFERENCE ON COLLABORATIVE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING (COLLABORATECOM 2012) | 2012年

关键词：

Reputation; Degree of Fairness; Crowdsourcing;

D O I：

10.4108/icst.collaboratecom.2012.250499

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Worker selection is a significant and challenging issue in crowdsourcing systems. Such selection is usually based on an assessment of the reputation of the individual workers participating in such systems. However, assessing the credibility and adequacy of such calculated reputation is a real challenge. In this paper, we propose a reputation management model which leverages the values of the tasks completed, the credibility of the evaluators of the results of the tasks and time of evaluation of the results of these tasks in order to calculate more dependable quality metrics for workers and evaluators. The model has been implemented and experimentally validated.

引用

页码：664 / 671

页数：8

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