An Algorithm of Crowdsourcing Answer Integration Based on Specialty Categories of Workers
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-03766-6_4
Reference17 articles.
1. Allahbakhsh, M., Benatallah, B., Ignjatovic, A., Motahari-Nezhad, H.R., Bertino, E., Dustdar, S.: Quality control in crowdsourcing systems: issues and directions. IEEE Internet Comput. 17(2), 76–81 (2013). https://doi.org/10.1109/MIC.2013.20
2. Feng, J.H., Guo-Liang, L.I., Feng, J.H.: A survey on crowdsourcing. Chin. J. Comput. 38(9), 1713–1726 (2015). https://doi.org/10.11897/SP.J.1016.2015.01713
3. Alonso, O., Mizzaro, S.: Can we get rid of TREC assessors? using mechanical turk for relevance assessment. In: SIGIR Workshop on the Future of IR Evaluation, pp. 19–23 (2009). https://doi.org/10.1016/j.ipm.2012.01.004
4. Franklin, M.J., Kossmann, D., Kraska, T., Ramesh, S., Xin, R.: CrowdDB: answering queries with crowdsourcing. In: ACM SIGMOD International Conference on Management of Data, pp. 61–72. ACM (2011). https://doi.org/10.1145/1989323.1989331
5. Lease, M., Carvalho, V.R., Yilmaz, E.: Crowdsourcing for search and data mining. ACM SIGIR Forum 45(1), 18–24 (2011). https://doi.org/10.1145/1988852.1988856
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