? 面向空间关键词推荐的有组织POI功能群挖掘
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Journal of Computer Science and Technology 2018, Vol. 33 Issue (4) :697-710    DOI: 10.1007/s11390-018-1850-3
Special Issue on Software Engineering for High-Confidence Systems << Previous Articles | Next Articles >>
面向空间关键词推荐的有组织POI功能群挖掘
Yan-Xia Xu, Wei Chen, Jia-Jie Xu, Member, CCF, ACM, Zhi-Xu Li, Member, CCF, ACM Guan-Feng Liu, Member, CCF, ACM, Lei Zhao*, Member, CCF, ACM
School of Computer Science and Technology, Soochow University, Suzhou 215006, China
Discovering Functional Organized Point of Interest Groups for Spatial Keyword Recommendation
Yan-Xia Xu, Wei Chen, Jia-Jie Xu, Member, CCF, ACM, Zhi-Xu Li, Member, CCF, ACM Guan-Feng Liu, Member, CCF, ACM, Lei Zhao*, Member, CCF, ACM
School of Computer Science and Technology, Soochow University, Suzhou 215006, China

摘要
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摘要 随着现代化都市的发展,城市中涌现大量的有组织POI功能群,例如:购物商场,电子商城,美食广场。它们对于都市文明和人们的生活方式影响巨大。本文的工作是挖掘出城市中的有组织POI功能群。在空间关键词推荐中,基于有组织POI功能群的推荐比基于POI推荐更具有优势。为了找出有组织POI功能群,本文首先采用聚类算法先找到有组织POI群。接下来,本文采用OPGs-LDA(Latent Dirichlet Allocation)模型找出每一个有组织POI群的功能。有组织POI功能群在城市规划和社会营销领域具有重要的应用。本文是首次研究有组织POI功能群。
关键词有组织POI功能群   POI聚类   OPG-LDA模型   空间关键词推荐     
Abstract: A point of interest (POI) is a specific point location that someone may find useful. With the development of urban modernization, a large number of functional organized POI groups (FOPGs), such as shopping malls, electronic malls, and snacks streets, are springing up in the city. They have a great influence on people's lives. We aim to discover functional organized POI groups for spatial keyword recommendation because FOPGs-based recommendation is superior to POIs-based recommendation in efficiency and flexibility. To discover FOPGs, we design clustering algorithms to obtain organized POI groups (OPGs) and utilize OPGs-LDA (Latent Dirichlet Allocation) model to reveal functions of OPGs for further recommendation. To the best of our knowledge, we are the first to study functional organized POI groups which have important applications in urban planning and social marketing.
Keywordsfunctional organized point of interest (POI) group   POI clustering   OPG-LDA (organized point of interest group-latent Dirichlet allocation) model   spatial keyword recommendation     
Received 2017-12-27;
本文基金:

This work was supported by the National Natural Science Foundation of China under Grant Nos. 61572335, 61472263, 61402312 and 61402313, the Natural Science Foundation of Jiangsu Province of China under Grant No. BK20151223, and the Collaborative Innovation Center of Novel Software Technology and Industrialization, Jiangsu, China.

通讯作者: Lei Zhao,E-mail:zhaol@suda.edu.cn     Email: zhaol@suda.edu.cn
About author: Yan-Xia Xu received her B.S. degree in computer science from Soochow University, Suzhou, in 2015. She is currently a M.S. candidate in Soochow University, Suzhou. Her research interests include data mining, spatial-temporal database and graph computing.
引用本文:   
Yan-Xia Xu, Wei Chen, Jia-Jie Xu, Zhi-Xu Li, Guan-Feng Liu, Lei Zhao.面向空间关键词推荐的有组织POI功能群挖掘[J]  Journal of Computer Science and Technology , 2018,V33(4): 697-710
Yan-Xia Xu, Wei Chen, Jia-Jie Xu, Zhi-Xu Li, Guan-Feng Liu, Lei Zhao.Discovering Functional Organized Point of Interest Groups for Spatial Keyword Recommendation[J]  Journal of Computer Science and Technology, 2018,V33(4): 697-710
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