Improved Estimation of Social POI Boundaries through Joint Optimization 


Vol. 42,  No. 10, pp. 2046-2049, Oct.  2017
10.7840/kics.2017.42.10.2046


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  Abstract

Recently, an efficient algorithm, named GeoSocialBound, for estimating a social point-of-interest (POI) boundary using spatio-textual information was introduced, which is very useful in geomarketing. In this letter, to further improve the estimation performance, we propose a joint optimization problem of finding both the POI center and the radius of a circle by allowing to update the POI center. An improved algorithm to solve this problem is shown to outperform the baseline in terms of F-measure and its variant.

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  Cite this article

[IEEE Style]

W. Shin and S. Choi, "Improved Estimation of Social POI Boundaries through Joint Optimization," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 2046-2049, 2017. DOI: 10.7840/kics.2017.42.10.2046.

[ACM Style]

Won-Yong Shin and Sang-Il Choi. 2017. Improved Estimation of Social POI Boundaries through Joint Optimization. The Journal of Korean Institute of Communications and Information Sciences, 42, 10, (2017), 2046-2049. DOI: 10.7840/kics.2017.42.10.2046.

[KICS Style]

Won-Yong Shin and Sang-Il Choi, "Improved Estimation of Social POI Boundaries through Joint Optimization," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 10, pp. 2046-2049, 10. 2017. (https://doi.org/10.7840/kics.2017.42.10.2046)