重庆邮电大学学报（自然科学版）2011，Vol.23Issue(3)：368-373,6.DOI:10.3979/j.issn.1673-825X.2011.03.023
基于时空序列模式匹配的兴趣点推荐方法
POI recommendation method based on pattern matching of spatio-temporal sequence
摘要
Abstract
Point of interest (POI) is a major component of geospatial information, it is widely used in location based services. In this paper, closed sequential pattern mining method is used to analyze the frequent pattern of spatio-temporal sequence, sequence analysis method is performed for pattern matching, and POI recommendation list is generated according to the matching degree. The experimental results show that the combination method of closed sequential pattern mining and pattern matching can be applied in POI recommendation effectively, it is useful to guide the POI access behavior of users and thus improve the quality of location-based services.关键词
时空序列/频繁模式/模式匹配/兴趣点/推荐方法Key words
spatio-temporal sequence/ frequent pattern/ pattern matching/ point of interest(POI)/ recommendation method分类
信息技术与安全科学引用本文复制引用
夏英,孙冲武..基于时空序列模式匹配的兴趣点推荐方法[J].重庆邮电大学学报（自然科学版）,2011,23(3):368-373,6.基金项目
重庆市计算机网络与通信技术重点实验室开放基金项目(CY-CNCL-2009-01) （CY-CNCL-2009-01）
重庆市科委科技项目(CSTC2009CB2015) （CSTC2009CB2015）
