Models for Iterative Multiattribute Procurement Auctions
Management Science
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
SERVICES '09 Proceedings of the 2009 Congress on Services - I
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
Collaborative workforce, business process crowdsourcing as an alternative of BPO
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Dynamic context-sensitive PageRank for expertise mining
SocInfo'10 Proceedings of the Second international conference on Social informatics
Adaptive Request Prioritization in Dynamic Service-Oriented Systems
SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
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
Task-based adaptation for ubiquitous computing
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Predicting qos in scheduled crowdsourcing
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
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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 as solutions based on software services only. Another benefit of crowdsourcing is the on-demand allocation of a flexible workforce. Businesses may outsource certain tasks to the crowd based on workload variations. The paper addresses the monitoring of crowd members' characteristics and the effective use of monitored data to improve the quality of work. Here we propose the extensions of standards such as Web Service Level Agreement (WSLA) to settle quality guarantees between crowd consumers and the crowdsourcing platform. Based on negotiated agreements, we provide a skill-based crowd scheduling algorithm. We evaluate our approach through simulations.