| 基于时空序列模式匹配的兴趣点推荐方法 |
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| 引用本文： | 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. |
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| 作者姓名： | 夏英 孙冲武 |
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| 作者单位： | 重庆邮电大学 空间信息系统研究中心，重庆 400065 |
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| 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)；重庆市科委科技项目(CSTC2009CB2015) |
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| 摘 要： | 兴趣点(point of interest,POI)是地理空间信息的重要组成部分,在基于位置的信息服务中被广泛使用.针对用户对兴趣点访问所产生的时空序列,利用闭合序列模式挖掘方法分析频繁模式,在此基础上根据用户当前所处位置或最近访问序列,通过序列分析进行时空序列模式匹配,并按照序列的匹配程度给出兴趣点推荐列表.实验结果...
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| 关 键 词： | 时空序列 频繁模式 模式匹配 兴趣点 推荐方法 |
| 收稿时间： | 3/1/2011 12:00:00 AM |
POI recommendation method based on pattern matching of spatio-temporal sequence |
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| XIA Ying,SUN Chong-wu.POI recommendation method based on pattern matching of spatio-temporal sequence[J].Journal of Chongqing University of Posts and Telecommunications,2011,23(3):368-373. |
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| Authors: | XIA Ying SUN Chong-wu |
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| Institution: | Research Center of Spatial Information System, Chongqing University of Posts and Telecommunications, Chongqing 400065, P. R. China |
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| 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. |
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| Keywords: | spatio-temporal sequence frequent pattern pattern matching point of interest(POI) recommendation method |
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