| 来源类型 | Conference or Workshop Item (Poster) |
| 规范类型 | 其他 |
| How to Increase the Accuracy of Crowdsourcing Campaigns? | |
| Nurmukhametov O; Fritz S; Khachay M; Salk C; See L | |
| 发表日期 | 2015 |
| 出处 | Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria |
| 出版年 | 2015 |
| 语种 | 英语 |
| 摘要 | Crowdsourcing is a new approach to performing tasks, with a group of volunteers rather than experts. For example, the Geo-Wiki project [1] aims to improve the global land-cover map by crowdsourcing for image recognition. Though crowdsourcing gives a simple way to perform tasks that are hard to automate, analysis of data received from non-experts is a challenging problem that requires a holistic approach. Here we study in detail the dataset of the Cropland Capture game (part of Geo-Wiki project) to increase the accuracy of campaign’s results. Using this analysis, we developed a methodology for a generic type of crowdsourcing campaign similar to the Cropland Capture game. The proposed methodology relies on computer vision and machine learning techniques. Using the Cropland Capture dataset we showed that our methodology increases agreement between aggregated volunteers’ votes and experts’ decisions from 77% to 86%. |
| 主题 | Ecosystems Services and Management (ESM) |
| URL | http://pure.iiasa.ac.at/id/eprint/11807/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/132611 |
| 推荐引用方式 GB/T 7714 | Nurmukhametov O,Fritz S,Khachay M,et al. How to Increase the Accuracy of Crowdsourcing Campaigns?. 2015. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| How%20to%20Increase%（6178KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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