? Discovering Functional Organized Point of Interest Groups for Spatial Keyword Recommendation
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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 Current Issue | Archive | Adv Search << Previous Articles | Next Articles >>
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

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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.
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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;
Fund:

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.

Corresponding Authors: 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.
Cite this article:   
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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http://jcst.ict.ac.cn:8080/jcst/EN/10.1007/s11390-018-1850-3
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