| 書目名稱 | The Practice of Crowdsourcing | | 編輯 | Omar Alonso | | 視頻video | http://file.papertrans.cn/918/917483/917483.mp4 | | 叢書名稱 | Synthesis Lectures on Information Concepts, Retrieval, and Services | | 圖書封面 |  | | 描述 | Many data-intensive applications that use machine learning or artificial intelligence techniques depend on humans providing the initial dataset, enabling algorithms to process the rest or for other humans to evaluate the performance of such algorithms. Not only can labeled data for training and evaluation be collected faster, cheaper, and easier than ever before, but we now see the emergence of hybrid human-machine software that combines computations performed by humans and machines in conjunction. There are, however, real-world practical issues with the adoption of human computation and crowdsourcing. Building systems and data processing pipelines that require crowd computing remains difficult. In this book, we present practical considerations for designing and implementing tasks that require the use of humans and machines in combination with the goal of producing high-quality labels. | | 出版日期 | Book 2019 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-02318-7 | | isbn_softcover | 978-3-031-01190-0 | | isbn_ebook | 978-3-031-02318-7Series ISSN 1947-945X Series E-ISSN 1947-9468 | | issn_series | 1947-945X | | copyright | Springer Nature Switzerland AG 2019 |
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