用户偏好约束的空间关键词范围查询处理方法

摘要

With the wide application of location-based personalized service,spatial keyword range query with user preferences constraint becomes a research hotspot.The existing indexes for spatial keyword range query do not take user preferences into account,resulting in poor pruning performance and low query efficiency.In order to solve these problems,a hybrid index called BRPQ(Boolean Range with Preferences Query index) was proposed to support user preferences,spatial location and keywords collaborative pruning.This paper also proposed an efficient query processing algorithm for spatial keywords range query with user preferences constraint.Experimental results show that BRPQ outperforms the existing indexes in terms of building time and query processing efficiency.%随着基于地理位置的个性化服务的广泛应用,用户偏好约束的空间关键词范围查询成为了研究热点.现有面向空间关键词范围查询的索引没有考虑用户偏好属性,导致剪枝性能和查询效率较低.为了解决该问题,提出了一种支持用户偏好属性、空间位置、关键词协同剪枝的混合索引BRPQ;并在此基础上,提出了高效的用户偏好约束的空间关键词范围查询处理算法.实验结果表明,相比现有索引,BRPQ索引的构建时间平均减少了13％,查询效率平均提升了20％.