搜索引擎中语义相关反馈技术的研究

Research of Relevance Feedback Based on Semantic in Search Engine

搜索引擎是互联网普及的标志,但是目前在搜索引擎的召回率和准确率上是不能让用户满意的。文中从基于向量空间的反馈技术的分析入手,利用概念图的知识,提出了基于语义的相关反馈技术。实验结果表明,该技术在提高查全率和查准率上是有效的。

Search engine is the sign of World Wide Web prevalence. But now the precision and the recall is not satisfied for the users. Firstly the paper analyzes the defect of technique of the VSM model. And then put forward one technique based- on semantic for relevance feedback, using the knowledge of conceptual graphs. Experimental results show that the technique can help user accomplish the task effectively.