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An Interactive Personalized Spatial Keyword Querying Approach

An Interactive Personalized Spatial Keyword Querying Approach

Xiangfu Meng, Lulu Zhao, Xiaoyan Zhang, Pan Li, Zeqi Zhao, Yue Mao
Copyright: © 2019 |Pages: 21
ISBN13: 9781522584469|ISBN10: 1522584463|EISBN13: 9781522584476
DOI: 10.4018/978-1-5225-8446-9.ch010
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MLA

Meng, Xiangfu, et al. "An Interactive Personalized Spatial Keyword Querying Approach." Emerging Technologies and Applications in Data Processing and Management, edited by Zongmin Ma and Li Yan, IGI Global, 2019, pp. 199-219. https://doi.org/10.4018/978-1-5225-8446-9.ch010

APA

Meng, X., Zhao, L., Zhang, X., Li, P., Zhao, Z., & Mao, Y. (2019). An Interactive Personalized Spatial Keyword Querying Approach. In Z. Ma & L. Yan (Eds.), Emerging Technologies and Applications in Data Processing and Management (pp. 199-219). IGI Global. https://doi.org/10.4018/978-1-5225-8446-9.ch010

Chicago

Meng, Xiangfu, et al. "An Interactive Personalized Spatial Keyword Querying Approach." In Emerging Technologies and Applications in Data Processing and Management, edited by Zongmin Ma and Li Yan, 199-219. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-8446-9.ch010

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Abstract

Existing spatial keyword query methods usually evaluate text relevancy according to the frequency of occurrence of query keywords in the text information associated to spatial objects, without considering the degree of preference of users to different query keywords, and without considering semantic relevancy. To deal with the above problems, this chapter proposes an interactive personalized spatial keyword querying approach which is divided into two stages. In the offline processing stage, Gibbs algorithm is adopted to estimate the thematic probability distribution of text information associated to spatial objects, and then an LDA model is used for semantic expansion of spatial data set.

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