计算机工程2011，Vol.37Issue(13)：43-45,3.DOI:10.3969/j.issn.1000-3428.2011.13.012
一种用于结构化文档检索的贝叶斯网络
Bayesian Network for Structured Document Retrieval
摘要
Abstract
This paper analyzes the representation method and characteristics of retrieval, studies a Bayesian network for structured document retrieval. It discusses the construct method and probability estimates of Bayesian network, and the retrieval process. Index terms and structural units can be represented by nodes, relationship among nodes can be described by arcs, and prior probability of nodes can be estimated according to TF-IDF. The relevance of each structural unit can be computed and ranked by its conditional probability when a user query is given. Example proves the effectiveness of the Bayesian network.关键词
贝叶斯网络/结构化文档/信息检索/先验概率估计Key words
Bayesian network/ structured document/ information retrieval/ prior probability estimate分类
信息技术与安全科学引用本文复制引用
徐建民,陈振亚..一种用于结构化文档检索的贝叶斯网络[J].计算机工程,2011,37(13):43-45,3.基金项目
中国博士后科学基金资助项目(20070420700) （20070420700）
