Internet-scale collection of human-reviewed data
Proceedings of the 16th international conference on World Wide Web
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Unifying Human and Software Services in Web-Scale Collaborations
IEEE Internet Computing
Crowdsourcing and all-pay auctions
Proceedings of the 10th ACM conference on Electronic commerce
SERVICES '09 Proceedings of the 2009 Congress on Services - I
Evolution of two-sided markets
Proceedings of the third ACM international conference on Web search and data mining
Analyzing the Amazon Mechanical Turk marketplace
XRDS: Crossroads, The ACM Magazine for Students - Comp-YOU-Ter
Crowdsourcing systems on the World-Wide Web
Communications of the ACM
Dynamic context-sensitive PageRank for expertise mining
SocInfo'10 Proceedings of the Second international conference on Social informatics
Workflow-Based coordination and cooperation in a service world
ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
Predicting qos in scheduled crowdsourcing
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Auction-based crowdsourcing supporting skill management
Information Systems
Crowdsourcing tasks to social networks in BPEL4People
World Wide Web
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Crowdsourcing has emerged as an important paradigm in human problem-solving techniques on the Web. One application of crowdsourcing is to outsource certain tasks to the crowd that are difficult to implement in software. Another potential benefit of crowdsourcing is the on-demand allocation of a flexible workforce. Businesses may outsource tasks to the crowd based on temporary workload variations. A major challenge in crowdsourcing is to guarantee high-quality processing of tasks. We present a novel crowdsourcing marketplace that matches tasks to suitable workers based on auctions. The key to ensuring high quality lies in skilled members whose capabilities can be estimated correctly. We present a novel auction mechanism for skill evolution that helps to correctly estimate workers and to evolve skills that are needed. Evaluations show that this leads to improved crowdsourcing.