Job Information Retrieval Based on Document Similarity

摘要：

Job information retrieval (IR) exhibits unique characteristics compared to common IR task.First,searching precision on job posting full text is low because job descriptions cannot he properly used in common IR methods.Second,job names semantically similar to the one mentioned in the searching query cannot be detected by common IR methods.In this paper,job descriptions are handled under a two-step job IR framework to find job postings semantically similar to seeds job posting retrieved by the common IR methods.Preliminary experiments prove that this method is effective.

作者: Jingfan Wang Yunqing Xia Thomas Fang Zheng Xiaojun Wu

作者单位: Department of Computer Science and Technology,Tsinghua University,Beijing 100084,China Center for Speech and Language Technologies,RIIT,Tsinghua University,Beijing 100084,China

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 165-175

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）