Measuring the Expertise of Workers for Crowdsourcing Applications
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-18129-1_7
Reference17 articles.
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4. Essaid, A., Martin, A., Smits, G., & Ben Yaghlane, B. (2014). A distance-based decision in the credal level. In Proceedings of 12th International Conference on Artificial Intelligence and Symbolic Computation, AISC 2014, Seville, Spain, 11-13 December 2014, pp. 147–156.
5. Fagin, R., Kumar, R., Mahdian, M., Sivakumar, D., & Vee, E. (2004). Comparing and aggregating rankings with ties. In Twenty-Third ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (pp. 47–58).
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2. Estimation of the Qualification and Behavior of Acontributor and Aggregation of His Answers in a Crowdsourcing Context;SSRN Electronic Journal;2022
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