Two-stage user mobility modeling for intention prediction for location-based services

Moon Hee Park, Jin Hyuk Hong, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings
PublisherSpringer Verlag
Pages538-545
Number of pages8
ISBN (Print)3540454853, 9783540454854
Publication statusPublished - 2006 Jan 1
Event7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006 - Burgos, Spain
Duration: 2006 Sep 202006 Sep 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4224 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006
CountrySpain
CityBurgos
Period06/9/2006/9/23

Fingerprint

Location based services
Trajectories
Prediction
Self organizing maps
Modeling
Global positioning system
Trajectory
User Preferences
Self-organizing Map
Markov Model
Sensing
Predict

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Park, M. H., Hong, J. H., & Cho, S. B. (2006). Two-stage user mobility modeling for intention prediction for location-based services. In Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings (pp. 538-545). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4224 LNCS). Springer Verlag.
Park, Moon Hee ; Hong, Jin Hyuk ; Cho, Sung Bae. / Two-stage user mobility modeling for intention prediction for location-based services. Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Springer Verlag, 2006. pp. 538-545 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Park, MH, Hong, JH & Cho, SB 2006, Two-stage user mobility modeling for intention prediction for location-based services. in Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4224 LNCS, Springer Verlag, pp. 538-545, 7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006, Burgos, Spain, 06/9/20.

Two-stage user mobility modeling for intention prediction for location-based services. / Park, Moon Hee; Hong, Jin Hyuk; Cho, Sung Bae.

Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Springer Verlag, 2006. p. 538-545 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4224 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Park MH, Hong JH, Cho SB. Two-stage user mobility modeling for intention prediction for location-based services. In Intelligent Data Engineering and Automated Learning, IDEAL 2006 - 7th International Conference, Proceedings. Springer Verlag. 2006. p. 538-545. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).