基于改进互信息的信息检索扩展模型

摘要

Mutual Information has been widely applied to many expanded information retrieval models. Aiming at problems in mutual information,for instance,being apt to low-frequency words and ignoring negative potential impact led by sparse data, this paper applies improved mutual information in an expanded information retrieval model. Experimental results on the five normal datasets show that the expanded information retrieval model based on improved mutual information outperforms that based on traditional mutual information.%互信息已广泛应用于信息检索扩展模型中.针对互信息存在倾向于低频词、忽略稀疏数据可能导致负相关的潜在影响的问题,本文将改进的互信息方法应用于信息检索扩展模型中.在五个标准数据集上的实验结果表明,本文提出的基于改进互信息的信息检索扩展模型比基于传统互信息的查询扩展模型具有更优的检索性能.