计算机应用研究2017，Vol.34Issue(6)：1601-1608,1612,9.DOI:10.3969/j.issn.1001-3695.2017.06.001
基于非结构化文本检索模型综述
Review of unstructured text retrieval model
摘要
Abstract
With the promotion of informatization in working and daily life,the new unstructured text data is rapidly accumulating in many fields such as product description,users' Web comments,text information communication and so on,so it brings new challenges about how to find the real text information accurately and efficiently to meet users' demands.Retrieval model is the key for both retrieval accuracy and efficiency.Aiming at the retrieval requirements on massive text data,this paper summarized the definition and general framework of retrieval model,and then proposed a classification of retrieval models according to mathematical theory applied in different retrieval models.Based on the classification,the paper elaborated evolutionary process,the advantages,disadvantages and application scenarios of each model.Finally,it discussed both the specific challenges and researches of retrieval which focused on massive text data.关键词
相似度计算/检索模型/语义检索/概率相关性/数学理论Key words
similarity calculation/retrieval model/semantic retrieval/probability relativity/mathematical theory分类
信息技术与安全科学引用本文复制引用
丁志均,杨青,张会兵,张敬伟..基于非结构化文本检索模型综述[J].计算机应用研究,2017,34(6):1601-1608,1612,9.基金项目
国家自然科学基金资助项目(U1501252,61462017,61363005) （U1501252,61462017,61363005）
广西区自然科学基金资助项目(2014GXNSFAA118353,2014GXNSFAA118390,2014GXNSFDA118036) （2014GXNSFAA118353,2014GXNSFAA118390,2014GXNSFDA118036）
广西自动检测技术与仪器重点实验室基金资助项目(YQ15110) （YQ15110）
广西高等学校高水平创新团队及卓越学者计划资助项目 （）
