Gravity of location-based service: Analyzing the effects for mobility pattern and location prediction

Keiichi Ochiai, Yusuke Fukazawa, Wataru Yamada, Hiroyuki Manabe, Yutaka Matsuo

研究成果: Conference contribution

抄録

Predicting user location is one of the most important topics in data mining. Although human mobility is reasonably predictable for frequently visited places, novel location prediction is much more difficult. However, location-based services (LBSs) can influence users' choice of destination and can be exploited to more accurately predict user location even for new locations. In this study, we assessed the behavior difference for specific LBS users and non-users by using largescale check-in data. We found a remarkable difference between specific LBS users and non-users (e.g., check-in locations) that had previously not been revealed. Then, we proposed a location prediction method exploiting the characteristics of check-in locations and analyzed how specific LBS usage influences location predictability. We assumed that users who use the same LBS tend to visit similar locations. The results showed that the novel location predictability of specific LBS users is up to 43.9% higher than that of non-users.

本文言語English
ホスト出版物のタイトルProceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020
出版社AAAI press
ページ476-487
ページ数12
ISBN(電子版)9781577357889
出版ステータスPublished - 2020
外部発表はい
イベント14th International AAAI Conference on Web and Social Media, ICWSM 2020 - Atlanta, Virtual, United States
継続期間: 2020 6 82020 6 11

出版物シリーズ

名前Proceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020

Conference

Conference14th International AAAI Conference on Web and Social Media, ICWSM 2020
国/地域United States
CityAtlanta, Virtual
Period20/6/820/6/11

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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