TY - GEN
T1 - Why people go to unfamiliar areas?
T2 - 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015
AU - Han, Jungkyu
AU - Yamana, Hayato
N1 - Publisher Copyright:
© 2015 ACM.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2015/12/11
Y1 - 2015/12/11
N2 - Human mobility analysis with Location-Based Social Network (LBSN) data is the basis of personalized point-of-interest (POI) recommendations or location-aware advertisements. In addition to personal preference and spatiotemporal factors such as time and distance, personal context has a strong influence on mobility. An individual's familiarity with an area is an interesting context because it can bias the influence of certain factors. For example, the mobility patterns of two persons who have similar preferences are different when their familiarity with the area is different, even in the same area. In this paper, we analyze familiarity's effect on mobility patterns by using over 1.4 million check-ins gathered from Foursquare. The analysis indicates that there is a skewness of the visit time and visited venue distribution in unfamiliar areas. For instance, people go to unfamiliar areas on weekends; and venues for cultural experiences, such as museums, strongly contribute to the motivation of visit.
AB - Human mobility analysis with Location-Based Social Network (LBSN) data is the basis of personalized point-of-interest (POI) recommendations or location-aware advertisements. In addition to personal preference and spatiotemporal factors such as time and distance, personal context has a strong influence on mobility. An individual's familiarity with an area is an interesting context because it can bias the influence of certain factors. For example, the mobility patterns of two persons who have similar preferences are different when their familiarity with the area is different, even in the same area. In this paper, we analyze familiarity's effect on mobility patterns by using over 1.4 million check-ins gathered from Foursquare. The analysis indicates that there is a skewness of the visit time and visited venue distribution in unfamiliar areas. For instance, people go to unfamiliar areas on weekends; and venues for cultural experiences, such as museums, strongly contribute to the motivation of visit.
KW - Familiarity
KW - LBSN
KW - Mobility
KW - POI
UR - http://www.scopus.com/inward/record.url?scp=84967262613&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84967262613&partnerID=8YFLogxK
U2 - 10.1145/2837185.2837190
DO - 10.1145/2837185.2837190
M3 - Conference contribution
AN - SCOPUS:84967262613
T3 - 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings
BT - 17th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2015 - Proceedings
A2 - Steinbauer, Matthias
A2 - Indrawan-Santiago, Maria
A2 - Anderst-Kotsis, Gabriele
A2 - Khalil, Ismail
PB - Association for Computing Machinery, Inc
Y2 - 11 December 2015 through 13 December 2015
ER -