• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (3): 150-154.

• 论文 • Previous Articles     Next Articles

Expanded information retrieval
model based on improved mutual information  

TU Wei1,GAN Lixin2,HUANG Lehui1,XIE Zhihua2   

  1. (1.Center of Arts Complex Laboratory,Jiangxi Science and  Technology Normal University,Nanchang 330038;
    2.Key Laboratory of OpticElectronic and Communication,
    Jiangxi Science and  Technology Normal University,Nanchang 330038,China)
  • Received:2011-08-25 Revised:2012-07-10 Online:2013-03-25 Published:2013-03-25

Abstract:

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.

Key words: query expansion;mutual information;information retrieval