首页 | 官方网站   微博 | 高级检索  
     

一种融合文本重要性的文本检索算法
引用本文:袁 飞,王成良,文俊浩.一种融合文本重要性的文本检索算法[J].计算机工程与应用,2014,50(3):93-96.
作者姓名:袁 飞  王成良  文俊浩
作者单位:1.重庆大学 计算机学院,重庆 400044 2.重庆大学 软件学院,重庆 400044
基金项目:重庆市科委自然科学基金资助项目(No.2010BB2244)。
摘    要:分析了查询似然模型,针对传统查询似然检索模型没有考虑文本间相关性的缺点,将链接模型引入到文本检索中,提出一个计算文本间相关性的DocRank算法。该算法通过计算两两文本间的相关性,构建一个文本矩阵,利用幂迭代法得到每个文本的优先度值,将其融合到查询似然检索模型中以准确定位所检索文本,实验结果验证了改进算法在文本检索中的有效性。

关 键 词:查询似然模型  链接模型  DocRank  文本矩阵  

Texts retrieval algorithm combined with texts importance
YUAN Fei,WANG Chengliang,WEN Junhao.Texts retrieval algorithm combined with texts importance[J].Computer Engineering and Applications,2014,50(3):93-96.
Authors:YUAN Fei  WANG Chengliang  WEN Junhao
Affiliation:1.College of Computer Science, Chongqing University, Chongqing 400044, China 2.School of Software Engineering, Chongqing University, Chongqing 400044, China
Abstract:This paper analyzes query likelihood model, and the inherent relation between different texts is not considered in this model. To tackle the drawback, link model is introduced to the text retrieval and a new algorithm is proposed for calculating the correlation between texts(called DocRank algorithm). By calculating the correlation between each two texts to form the matrix of texts and using power iteration method to calculate the priority value of each text. It is integrated into the query likelihood model in order to accurately locate the text which is supposed to find. The experimental results show that the proposed algorithm can be used effectively in text retrieval.
Keywords:query likelihood model  link model  DocRank  texts matrix
本文献已被 CNKI 维普 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号