基于场论的高精度信息检索研究  

Research of High Accuracy Information Retrieval Based on Field Theory

作　　者：杨为民[1,2] 李龙澍[2] 

机构地区：[1]安徽大学智能计算与信号处理教育部重点实验室,合肥230039 [2]安徽大学计算机科学与技术学院,合肥230039

出　　处：《计算机工程》2011年第15期134-136,共3页Computer Engineering

基　　金：安徽省自然科学基金资助项目"高精度检索的智能模型研究"(090412054)

摘　　要：传统信息检索模型的信息获取准确率较低。针对该问题,提出一种基于场论的高精度信息检索模型,在考虑标引词之间相关性的前提下,以规范化标引词的数量作为文档信息量,构建一个文档信息场。该信息场以文档间相互作用的场力大小度量文档的相关性,由此得到更精确的检索结果。实验结果验证了该模型相对于同类模型的优越性。Traditional information retrieval model has the problem of low accuracy when obtaining the information. In order to solve the problem, this paper proposes a new information retrieval model based on field theory by analyzing the shortcomings of traditional information retrieval theory. By using the number of standardized index terms and taking account of the relation of index terms, a document information field is constructed, in the new field, the document relevance is computed by field force, so that the new model can get more accurate retrieval results than other models. Experimental results demonstrate its superiority.

关 键 词：信息检索 场论 高精度检索 文档相关性 检索模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]