基于语义目录的个性化检索模型研究

Research on Personalized Retrieval Model Based on Semantic Directory

针对传统信息检索方法的缺点提出了基于语义目录的个性化检索模型,说明了其原理、工作流程及关键技术。与传统的信息检索方法相比,该模型不仅在查准率和查全率方面都有所提高,还能根据用户需要完成个性化的信息检索。

Because of the shortcomings of traditional information retrieval methods, we have proposed the Personalized Retrieval Model Based on Semantic Directory, explained it’s principle, process and key technologies. Compared to traditional information retrieval methods, the model not only in the precision rate and recall rate has been enhanced, but also needs to be done according to the user personalized information retrieval.