基于位置感知的top-k文本检索混合索引框架研究  

Research on Top-K Text Retrieval Hybrid Index Framework Based on Location Awareness

作　　者：李梦雪 LI Mengxue

机构地区：[1]郑州信息工程职业学院,河南郑州450121

出　　处：《科技创新与应用》2020年第19期10-12,共3页Technology Innovation and Application

摘　　要：在移动Web搜索中人们希望搜索到的目标对象既满足地理位置相近性,又满足描述文档相关性。由此产生的地理位置和文档相融合的top-k查询既考虑位置邻近性又考虑文本相关性。文章介绍的基于位置感知的top-k文本检索索引,利用倒排文件进行文本检索,R-tree进行空间相近性查询。因此考虑了文本相关性和位置邻近性,并且能够获得top-k查询结果。In mobile Web search,the target object that people want to search not only satisfies the proximity of geographical location,but also satisfies the relevance of description documents.The resulting top-k query which combines geographic location and document considers both location proximity and text relevance.The location-aware top-k text retrieval index introduced in this paper uses inverted files for text retrieval and R-tree for spatial proximity query.Therefore,text relevance and location proximity are considered,and top-k query results can be obtained.

关 键 词：位置感知 TOP-K IR-tree 倒排文件 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]