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Book Review “Advances in Crowdsourcing”

Fernando J. Garrigos-Simon, Ignacio Gil-Pechuán, and Sofia Estelles-Miguel (Eds.) ISBN 978-3-319-18340-4 (printed book), ISBN 978-3-319-18341-1(e-book), Springer, Switzerland, 2015, 183 pp., USD99.00 (printed book), USD69.99(e-book)

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References

  • Cheng P, Lian X, Chen Z, Chen L, Han J, Zhao J (2015) Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers Proceeding of the VLDB Endowment 8:1022–1033

  • Gadiraju U, Kawase R, Dietze S, Demartini G (2015) Understanding malicious behavior in crowdsourcing platforms: The case of online surveys. In: Begole B, Kim J, Inkpen K, Woo W (eds) Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI-2015). Seoul, Republic of Korea, pp 1631–1640

  • Hu Q, He Q, Huang H, Chiew K, Liu Z (2014) Learning from crowds under experts’ supervision. In: Tseng VS, Ho TB, Zhou Z, Chen ALP, Kao H (eds) Advances in knowledge discovery and data mining (PAKDD-2014). Lecture notes in artificial intelligence. Springer International Publishing, Tainan, pp 200–211

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  • Rahman H, Roy S, Thirumuruganathan S, Amer-Yahia S, Das G (2015) The whole is greater than the sum of its parts: Optimization in collaborative crowdsourcing Computing Research Repository (CoRR) abs/1502.05106

  • Wang N, Yeung DY (2014) Ensemble-based tracking aggregating crowdsourced structured time series data. In: Xing EP, Jebara T (eds) Proceedings of the 31st International Conference on Machine Learning (ICML-2014). Beijing, China, pp 1107–1115

  • Yan Y, Fung GM, Rosales R, Dy JG (2011) Active Learning from Crowds. In: Getoor L, Scheffer T (eds) Proceedings of the 28th international conference on machine learning (ICML-2011). Bellevue, Washington, USA, pp 1161–1168

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Authors and Affiliations

  1. School of Information Technology, Deakin University, Geelong, VIC, 3125, Australia

    Gang Li

  2. TULIP Academy, Burwood East, VIC, 3151, Australia

    Yiqing Tu

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  1. Gang Li
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  2. Yiqing Tu
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Correspondence to Gang Li.

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Li, G., Tu, Y. Book Review “Advances in Crowdsourcing”. Inf Technol Tourism 16, 317–319 (2016). https://doi.org/10.1007/s40558-015-0034-z

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