基于频繁项集挖掘与查询扩展的信息检索系统模型

Information Retrieval System Model Based on Frequent Itemsets Mining and Query Expansion

将频繁项集挖掘和查询扩展技术应用于信息检索,提出一种新的基于频繁模式挖掘与查询扩展的信息检索系统模型及其算法,并给出该检索系统模型的设计思想,以及模型总体结构及其各模块功能,实现了系统原型。实验结果表明,该检索系统模型能有效地提高和改善信息检索性能。

In order to apply frequent itemsets mining and query expansion technique to information retrieval,a novel informa-tion retrieval system is introduced based on fusion of frequent itemsets mining and query expansion.To set forth its designing conception,the general structure of the system model and the function of each module are expatiated,and searching algorithm of the system is also expounded,a prototype system is realized.The results of the experiment show that the proposed retrieval system can effectively improve and enhance the performance of information retrieval.