Intelligent project-applicant matching system using limited data

使用有限数据的智能项目申请人匹配系统

• 批准号: 521168-2017
• 负责人: Psaromiligkos, Ioannis
• 金额: $ 1.82万
• 依托单位: McGill University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=639623
• 关键词: Intelligent; project; applicant; matching; system

Fleexer is an online tool on which organizations (profit and non-profit) post projects and individuals apply forthem. The tool enables building effective and complementary teams, by matching individuals to projects takinginto account the project's requirements and the individual's qualifications, experience and preferences. In thisproject, we will develop methods for automatic project-applicant matching that address the idiosyncrasies ofthe matching process as faced by Fleexer. Specifically, we will develop methods that, first, extract meaningfulinformation from the textual descriptions of project requirements and applicant qualifications, and then, usingthe extracted information, identify the best applicants for each project.

Fleexer是一个在线工具，组织（盈利和非盈利）可以在上面发布项目，个人可以申请项目。这一工具考虑到项目的要求以及个人的资格、经验和偏好，使个人与项目相匹配，从而能够建立有效和互补的团队。在这个项目中，我们将开发自动项目申请人匹配的方法，解决Fleexer面临的匹配过程的特质。具体来说，我们将开发的方法，首先，提取有意义的信息，从文本描述的项目要求和申请人的资格，然后，使用提取的信息，确定每个项目的最佳申请人。