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http://dx.doi.org/10.9708/jksci.2012.17.5.081

The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services  

Kim, Beoum-Su (Dept. of Computer & Information Engineering, Inha University)
Lee, Yeon (Dept. of Computer & Information Engineering, Inha University)
Kim, Gyeong-Bae (Dept. of Computer Education, Seowon University)
Bae, Hae-Young (Dept. of Computer & Information Engineering, Inha University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.5, 2012 , pp. 81-91 More about this Journal
Abstract
Recently, as location-determination of indoor users is available with the development of variety of localization techniques for indoor location-based service, diverse indoor location based services are proposed. Accordingly, it is necessary to develop individualized POI recommendation service for recommending most interested points of large-scale commercial spaces such as shopping malls and departments. For POI recommendation, it is necessary to study the method for exploring location which users are interested in location with considering user's mobility in large-scale commercial spaces. In this paper, we proposed POI recommendation system with the definition of users' as 'Stay point' in order to consider users' various interest locations. By using the proposed algorithm, we analysis users' Stay points, then mining the users' visiting pattern to finished the proposed. POI Recommendation System. The proposed system decreased data more dramatically than that of using user's entire mobility data and usage of memory.
Keywords
Indoor location based service; POI recommandation system; Stay point;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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