基于查询模型的专家检索方法分析

摘要

After analysing the language model-based expert search method, we propose an expert search approach for query-based modelling. In the method a set of new expert sorting system is established by using query expansion technique and terminology generation probability. Preliminary experimental evaluation has been carried out on enterprise track topics organised by the international Text Retrieval Conference, the results show that this method can effectively improve the retrieval accuracy of expert search tasks.%在对基于语言模型的专家检索方法进行分析后,提出查询式建模的专家检索方法.该方法通过运用查询扩展技术和术语生成概率建立一套新的专家排序体系.根据对国际文本检索会议组织的企业追踪专题进行初步实验评估,结果表明,这种方法能够有效地提高专家检索任务的检索准确度.