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A confidence-aware top-k query processing toolkit on crowdsourcing
Yan Li1; Ngai Meng Kou1; Hao Wang2; Leong Hou U1; Zhiguo Gong1
Conference NameProceedings of the VLDB Endowment
Source PublicationProceedings of the VLDB Endowment
Conference Date2017
Conference PlaceJiangsu

Ranking techniques have been widely used in ubiquitous applications like recommendation, information retrieval, etc. For ranking computation hostile but human friendly items, crowdsourcing is considered as an emerging technique to process the ranking by human power. However, there is a lack of an easy-to-use toolkit for answering crowdsourced top-k query with minimal effort. In this work, we demonstrate an interactive programming toolkit that is a unified solution for answering the crowdsourced top-k queries. The toolkit employs a new confidenceaware crowdsourced top-k algorithm, SPR. The whole progress of the algorithm is monitored and visualized to end users in a timely manner. Besides the visualized result and the statistics, the system also reports the estimation of the monetary cost and the breakdown of each phase. Based on the estimation, end users can strike a balance between the budget and the quality through the interface of this toolkit.

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Cited Times [WOS]:6   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
Corresponding AuthorHao Wang; Leong Hou U
Affiliation1.Department of Computer and Information Science, University of Macau, Macau SAR
2.State Key Laboratory for Novel Software Technology, Nanjing University, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yan Li,Ngai Meng Kou,Hao Wang,et al. A confidence-aware top-k query processing toolkit on crowdsourcing[C],2017:1909-1912.
APA Yan Li,Ngai Meng Kou,Hao Wang,Leong Hou U,&Zhiguo Gong.(2017).A confidence-aware top-k query processing toolkit on crowdsourcing.Proceedings of the VLDB Endowment,10(12),1909-1912.
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