特征词抽取与查询扩展融合的信息检索系统模型

Information Retrieval System Model Based on Fusion of Feature Terms Extraction and Query Expansion

将特征词抽取和查询扩展技术应用于信息检索,提出一种特征词抽取与查询扩展技术融合的信息检索系统模型及其算法。在详细论述模型的设计思想、各模块的功能基础上,重点阐述模型实现的关键技术及其检索算法。实验结果表明,该模型有效,能提高信息检索性能,具有较高的理论价值和广阔的应用前景。

In order to apply feature terms extraction and query expansion technique in information retrieval, a novel information retrieval system model and algorithm are introduced based on fusion of feature terms extraction and query expansion. Its designing conception and the function of each module are expounded. Some key technologies for implementation and searching algorithm are also expatiated. The results of the experiment show that the proposed model is eflective , and can improve the performance of information retrieval with superior theoretical value as well as broad application prospect.