信息检索系统中信息模型的建立方法研究

Research on the Methods for Constructing the Information Model in Information Retrieval System

在信息检索引擎中,信息模型的建立方法对信息检索的速度起着重要的作用。在总结了布尔模型、向量空间模型、概率模型3类信息模型建立方法的基础上,提出了新的用户模型建立方法。该方法可在自适应信息检索系统中根据用户的特征,实现“检索正确的信息,在正确的时间,采用正确的方式,推送给正确的人”,大大提高了信息检索的智能化程度。

Among the information searching engi ne s,the method for constructing the information model plays a key role for the sea rching speed. This paper summarizes the methods for constructing three types of the information models of the Booleam Model,the Vector Space Model and the Possi bility Model, and puts forward a new method for constructing the user model, whi ch can realize 'searching the right information, and give it to the right person at the right time and adopting the right way' according to the user's character s in the self-adoptive information retrieval system, which increases greatly the extent of the intellectualization of the information retrieval.