A BELIEF NETWORK BASED RETRIEVAL MODEL WITH TWO TERM LAYERS

摘要：

The retrieval performance of an information system usually increases when it uses the relationships among the terms in a given document collection. This paper presents an improved co-occurrences frequency method to mine relationship among document index terms, then gives an extended model by adding one term layer in belief network model, shows its topology, probability estimating and information retrieval process. Experiment shows that this model can realize the semantic retrieval to some extent.

关键词： Co-occurrences frequency belief network information retrieval

作者: JIAN-MIN XU WAN-SHENG TANG YU-FU NING

作者单位: Mathematic and Computer College, Hebei University, Hebei Baoding 071002, China;Institute of Systems Institute of Systems Engineering, Tianjin University, Tianjin 300072, China Institute of Systems Engineering, Tianjin University, Tianjin 300072, China;Department of Computer S

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 2726-2731

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）