计算机技术与发展Issue(9)：120-124,5.DOI:10.3969/j.issn.1673-629X.2014.09.027
一种改进的潜在语义检索模型研究
Study on Improved Latent Semantic Retrieval Model
摘要
Abstract
For some defects that the traditional latent semantic retrieval model is big cost,slow retrieval speed,and not conducive to the field in large-scale agriculture information retrieval,present an improved Agriculture Latent Semantic Indexing ( ALSI) model. The mod-el uses full-text search to generate full-text inverted index of agricultural information,and then utilizes agricultural high-frequency vo-cabulary and latent semantic to analyze generated semantic indexing databases,completing semantic retrieval. By analyzing multiple sets of experiments,determine calculation methods of term weight and semantic space dimension. Finally,analyze and juxtapose search results of ALSI and the traditional LSI through experiment,the results show that retrieval results of ALSI is significantly better than LSI,and AL-SI is suitable for the large-scale agricultural information retrieval.关键词
农业信息/垂直搜索引擎/潜在语义检索/面向农业的潜在语义检索模型Key words
agricultural information/vertical search engine/latent semantic indexing/ALSI分类
信息技术与安全科学引用本文复制引用
陈燕红,刘风华..一种改进的潜在语义检索模型研究[J].计算机技术与发展,2014,(9):120-124,5.基金项目
新疆维吾尔自治区科技攻关项目(200931103) （200931103）
新疆农业大学校前期资助课题(XJAU201117) （XJAU201117）
