【作者】 毕文静； 沈华伟； 刘悦； 许洪波； 程学旗；

【Author】 Wenjing Bi,Huawei Shen,Yue Liu,HongboXu,Xueqi Cheng Institute of Computing Technology,Chinese Academy of Sciences

【机构】 中国科学院计算技术研究所；

【摘要】 目前,专家检索的研究多基于企业内部语料,较少引入外部资源。万维网中包含丰富的信息。本文以现有的两个典型专家检索模型为基础,根据模型的特点,整合搜索引擎检索结果与企业内部语料,实现专家检索。实验证明搜索引擎检索结果的引入能够很好的改善专家检索的效果。更多还原

【Abstract】 Expertise retrieval in enterprise has been largely explored on the collections crawled from the intranets of enterprises or organizations.However,only limited external information has been used to help improve expertise retrieval.As the World Wide Web(WWW) has abundance information,we attempt to combine such information with intranet evidence for expertise retrieval.In this paper,different strategies are adopted to extract search engine results for two different widelyused models based on language model.Experimental results demonstrate that the introduction of search engine results can significantly improve expertise retrieval.更多还原