Macrotask Crowdsourcing

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  • Macrotask Crowdsourcing Book Detail

  • Author : Vassillis-Javed Khan
  • Release Date : 2019-08-06
  • Publisher : Springer
  • Genre : Computers
  • Pages : 279
  • ISBN 13 : 3030123340
  • File Size : 10,10 MB

Macrotask Crowdsourcing by Vassillis-Javed Khan PDF Summary

Book Description: Crowdsourcing is an emerging paradigm that promises to transform several domains: creative work, business work, cultural cooperation, etc. Crowdsourcing reflects the close-knit interplay between the latest computer technologies, the rapidly changing work model of the 21st century, and the very nature of people. The interplay makes for an exciting but at the same time challenging new field to investigate under the lens of a diverse set of disciplines, ranging from the technical to the social and from the theoretical to the applied. Early research has focused on an aspect of crowdsourcing known as micro-tasking. Micro-tasks are simple tasks (like image annotations) that anyone could perform. An emerging area is how to utilize crowdsourcing to solve problems that go beyond simple tasks towards more complex ones, that require collaboration and creativity. In juxtaposition to micro-task crowdsourcing, this book investigates macro-task crowdsourcing and its potential.

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Macrotask Crowdsourcing

Macrotask Crowdsourcing

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Crowdsourcing is an emerging paradigm that promises to transform several domains: creative work, business work, cultural cooperation, etc. Crowdsourcing reflect

Macro-task Crowdsourcing

Macro-task Crowdsourcing

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Crowdsourcing is an emerging paradigm that promises to transform several domains: creative work, business work, cultural cooperation, etc. Crowdsourcing reflect

It's Getting Crowded!

It's Getting Crowded!

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Crowdsourcing, human computation, microtasks, crowd workers, behavior, performance, quality, pre-selection, task type, task clarity, work environments. - Verhal

Advanced Data Mining and Applications

Advanced Data Mining and Applications

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This book constitutes the refereed proceedings of the 14th International Conference on Advanced Data Mining and Applications, ADMA 2018, held in Nanjing, China