摘要
本文分析了传统向量空间检索模型在Web环境下的不足,提出了两种改进的线性加权模型及非线性加权模型;实验结果表明,两种模型的文本检索能力相比传统向量模型都有较大提高。
Based on the analysis of the deficiency of the traditional vector space retrieval model in the web situation, we put forward two improved models. The one is a linear term weighting method and the other is a non - linear term weighting method. The experiments show that the two models have strong ability than the traditional vector retrieval model in the paper retrieving.
出处
《情报科学》
CSSCI
北大核心
2007年第3期451-455,共5页
Information Science
关键词
WEB结构
模型改进
线性加权
非线性加权
web structure
model reconstruction
linear term weighting
non- linear term weighting
