一种上下文驱动的信息检索多维匹配模型研究  

RESEARCH ON A CONTEXT-DRIVEN MULTIDIMENSIONAL MATCHING MODEL OF INFORMATION RETRIEVAL

作　　者：李晓昀[1] 阳小华[1] 余颖[1] 欧阳纯萍[1] 万亚平[1] 马家宇[1] 刘志明[1] 蒋辉[1] 

机构地区：[1]南华大学计算机科学与技术学院,湖南衡阳421001

出　　处：《计算机应用与软件》2012年第9期148-150,225,共4页Computer Applications and Software

基　　金：湖南省教育厅科研项目(11C1098);湖南省自然科学基金项目(10JJ6097;11JJ6047)

摘　　要：为改善信息检索服务效果,提出一种多维匹配模型,在内容维度之外,将信息检索过程中的上下文作为独立维度进行匹配。隐性匹配将各类上下文归为两类:与用户相关的和与文档相关的,两者一一对应。实验表明该模型能大大提高返回结果相关度,亦验证了计算文档相关度时隐性维度有更大权重,即在特定信息需求下,上下文相对于内容具有更大决定性。To improve the effect of information retrieval services,a multidimensional matching model is proposed in the paper,it matches in information retrieval process the context as an independent dimension besides the content dimensions.The implicit matching classifies all the contexts into two parts： the users correlated and the documents correlated,they are in correspondence one to one.Experiment indicates that this model is able to improve the relevance of returned results greatly,and has also demonstrated that the implicit dimension owns higher weight when calculating the document relevance,i.e.when in specific information requirement,the context is of greater decisive in contrast to the content.

关 键 词：信息检索 多维匹配 上下文 体裁 工作任务 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]