摘要
上海光源的产品数据管理(PDM)原有的全文检索系统是一个基于数据库的检索系统,该系统在检全率、检准率以及相关度排序上均存在着不足。通过修改中文分词算法和细化相关度排序算法等手段对该系统进行改进,提高了系统的性能。测试结果表明检全率和检准率均得以提高,满足了上海光源对图文档管理的需求。
The full text retrieval system of SSRF-PDM is a database-based retrieval system, but it had deficiencies in recall ratio, precision ration and relevancy ranking. To improve the system performance, the Chinese word segmentation algorithm and detailing relevancy ranking algorithm were optimized. Test results show that recall ratio and precision ratio can be improved to meet the data management needs of SSRF.
出处
《核技术》
CAS
CSCD
北大核心
2011年第10期721-725,共5页
Nuclear Techniques
