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

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

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

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 14th International AAAI Conference on Web and Social Media, ICWSM 2020
PublisherAAAI press
Pages476-487
Number of pages12
ISBN (Electronic)9781577357889
Publication statusPublished - 2020
Externally publishedYes
Event14th International AAAI Conference on Web and Social Media, ICWSM 2020 - Atlanta, Virtual, United States
Duration: 2020 Jun 82020 Jun 11

Publication series

NameProceedings 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
CountryUnited States
CityAtlanta, Virtual
Period20/6/820/6/11

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Gravity of location-based service: Analyzing the effects for mobility pattern and location prediction'. Together they form a unique fingerprint.

Cite this