Semantics based text matching for unstructured text documents

在这个项目中，我们的目标是开发一种技术，可以在自然语言文本和描述性格式的招聘信息和求职者简介之间找到匹配，这些信息也是自由文本格式的，没有太多可访问的结构化内容。数据的非结构化和自然语言形式对该领域的准确匹配和排序提出了挑战。研究挑战包括(i)招聘信息和求职者资料中的词汇不匹配，（ii）处理求职者和招聘人员在网站上访问的互动日志，以及（iii）处理互动日志以了解就业市场对某些技能或资格的需求和趋势的可能性。研究工作和所需的开发将与工业合作伙伴BC job Online Inc.密切合作。

In this project our aim is to develop techniques that can find matches between job postings that are in natural language text and in descriptive format and job seeker profiles that are also in free-text format without much accessible structured content. The unstructured and natural language form of data poses challenges for the accurate matching and ranking in this domain. Research challenges include (i) vocabulary mismatch within the job postings and job seeker profiles, (ii) the processing of the interaction logs that are curated as a result of the visits that both job seekers and recruiters make on the website, and (iii) the possibility of processing interaction logs for the purpose of understanding the demand and trend in the job market for certain skill sets or qualifications. The research work and required development will be carried out in close concert with the industrial partner BC Jobs Online Inc.