@inproceedings{e62579d369a54788914d919a27f444f4,
title = "Two-stage user mobility modeling for intention prediction for location-based services",
abstract = "Although various location-sensing techniques and services have been developed, most of the conventional location-based services provide only static service. They do not consider user's preference but only a current location. Considering the trajectory might help to understand the user's intention and to provide a proper service. We propose a novel method that predicts user's mobility to provide service corresponding to the intention. The user's movement trajectory is analyzed by two stage modeling of recurrent self-organizing maps (RSOM) and Markov models. Using a GPS data set collected on the campus of Yonsei University, we have verified the usefulness of the proposed method.",
author = "Park, {Moon Hee} and Hong, {Jin Hyuk} and Cho, {Sung Bae}",
year = "2006",
doi = "10.1007/11875581_65",
language = "English",
isbn = "3540454853",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "538--545",
booktitle = "Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings",
address = "Germany",
note = "7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006 ; Conference date: 20-09-2006 Through 23-09-2006",
}