FaitCrowd: Fine grained truth discovery for crowdsourced data aggregation

• المؤلفون الرئيسيون: MA, Fenglong, LI, Yaliang, LI, Qi, QIU, Minghui, GAO, Jing, ZHI, Shi, SU, Lu, ZHAO, Bo, HAN, Jiawei
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2015
• الموضوعات: Truth Discovery; Source Reliability; Crowdsourcing; Computer Sciences; Databases and Information Systems
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/3258; https://ink.library.smu.edu.sg/context/sis_research/article/4260/viewcontent/KDD2015Fenglong_1_.pdf

In crowdsourced data aggregation task, there exist conflicts in the answers provided by large numbers of sources on the same set of questions. The most important challenge for this task is to estimate source reliability and select answers that are provided by high-quality sources. Existing work solv...