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@article{ART001662988},
author={Pum Soo Kim and LI YAN and Gyoung-Bae Kim and HaeYoung Bae},
title={The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2012},
volume={17},
number={5},
pages={81-91},
doi={}

TY - JOUR
AU - Pum Soo Kim
AU - LI YAN
AU - Gyoung-Bae Kim
AU - HaeYoung Bae
TI - The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services
JO - Journal of The Korea Society of Computer and Information
PY - 2012
VL - 17
IS - 5
PB - The Korean Society Of Computer And Information
SP - 81
EP - 91
SN - 1598-849X
AB - 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.
KW - Indoor location based service;POI recommandation system;Stay point
DO -
ER -

Pum Soo Kim, LI YAN, Gyoung-Bae Kim and HaeYoung Bae. (2012). The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services. Journal of The Korea Society of Computer and Information, 17(5), 81-91.

Pum Soo Kim, LI YAN, Gyoung-Bae Kim and HaeYoung Bae. 2012, "The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services", Journal of The Korea Society of Computer and Information, vol.17, no.5 pp.81-91. Available from: doi:

Pum Soo Kim, LI YAN, Gyoung-Bae Kim, HaeYoung Bae "The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services" Journal of The Korea Society of Computer and Information 17.5 pp.81-91 (2012) : 81.

Pum Soo Kim, LI YAN, Gyoung-Bae Kim, HaeYoung Bae. The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services. 2012; 17(5), 81-91. Available from: doi:

Pum Soo Kim, LI YAN, Gyoung-Bae Kim and HaeYoung Bae. "The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services" Journal of The Korea Society of Computer and Information 17, no.5 (2012) : 81-91.doi:

Pum Soo Kim; LI YAN; Gyoung-Bae Kim; HaeYoung Bae. The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services. Journal of The Korea Society of Computer and Information, 17(5), 81-91. doi:

Pum Soo Kim; LI YAN; Gyoung-Bae Kim; HaeYoung Bae. The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services. Journal of The Korea Society of Computer and Information. 2012; 17(5) 81-91. doi:

Pum Soo Kim, LI YAN, Gyoung-Bae Kim, HaeYoung Bae. The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services. 2012; 17(5), 81-91. Available from: doi:

Pum Soo Kim, LI YAN, Gyoung-Bae Kim and HaeYoung Bae. "The Development of Users' Interesting Points Analyses Method and POI Recommendation System for Indoor Location Based Services" Journal of The Korea Society of Computer and Information 17, no.5 (2012) : 81-91.doi: