Where and Why Users "Check In"
- Authors
- Cho, Yoon-Sik; Steeg, Greg Ver; Galstyan, Aram
- Issue Date
- Jul-2014
- Publisher
- ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE
- Citation
- PROCEEDINGS OF THE TWENTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp 269 - 275
- Pages
- 7
- Journal Title
- PROCEEDINGS OF THE TWENTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE
- Start Page
- 269
- End Page
- 275
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/64746
- Abstract
- The emergence of location based social network (LBSN) services makes it possible to study individuals' mobility patterns at a fine-grained level and to see how they are impacted by social factors. In this study we analyze the check-in patterns in LBSN and observe significant temporal clustering of check-in activities. We explore how self-reinforcing behaviors, social factors, and exogenous effects contribute to this clustering and introduce a framework to distinguish these effects at the level of individual check-ins for both users and venues. Using check-in data from three major cities, we show not only that our model can improve prediction of future check-ins, but also that disentangling of different factors allows us to infer meaningful properties of different venues.
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Collections - College of Software > Department of Artificial Intelligence > 1. Journal Articles
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