Decision Support Systems ( IF 7.5 ) Pub Date : 2020-11-17 , DOI: 10.1016/j.dss.2020.113449 Yung-Ming Li , Chin-Yu Hsieh , Lien-Fa Lin , Chi-Hsuan Wei
Crowdsourcing is a new trend that uses the wisdom of crowds on the Internet to solve certain problems that need vast amounts of human resources. There have been a number of crowdsourcing platforms developed for various domains. However, the landscape of crowdsourcing platforms is widely dispersed and most tasks remain hidden. Finding out the tasks closely matching contributors' personal preference and capabilities is difficult. In this research, we aim to design a social mechanism for task-oriented crowdsourcing recommendations, which the requesters can easily use to find suitable contributors who are also very willing to finish their tasks. Our experimental results show that the proposed mechanism is effective in identifying appropriate contributors with respect to different types of task. The proposed mechanism can help to establish a long-term partnership that brings value to the participants of task-oriented crowdsourcing.
中文翻译:
面向任务的众包推荐的社会机制
众包是一种新趋势,它利用互联网上人群的智慧来解决某些需要大量人力资源的问题。已经为各种领域开发了许多众包平台。但是,众包平台的环境广泛分散,大多数任务仍然隐藏。很难找到与贡献者的个人喜好和能力紧密匹配的任务。在这项研究中,我们旨在设计一种面向任务的众包推荐的社交机制,请求者可以轻松地使用它找到合适的贡献者,他们也非常愿意完成他们的任务。我们的实验结果表明,所提出的机制可有效地确定针对不同类型任务的适当贡献者。