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Towards multi-dimensional knowledge-aware approach for effective community detection in LBSN
World Wide Web, 2022Jianxin Li
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A two-stage stochastic programming approach for dynamic OD estimation using LBSN data
Transportation Research Part C: Emerging TechnologiesQing-Long Lu +2 more
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SIGSPATIAL Special, 2013
The ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN) had its fifth annual meeting on November 6 th , 2012. Held on the opening of the ACM SIGSPATIAL GIS conference in Redondo Beach, California, the one-day LBSN'12 event brought together academic and industry researchers from US, Europe,
Gabriel Ghinita +2 more
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The ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN) had its fifth annual meeting on November 6 th , 2012. Held on the opening of the ACM SIGSPATIAL GIS conference in Redondo Beach, California, the one-day LBSN'12 event brought together academic and industry researchers from US, Europe,
Gabriel Ghinita +2 more
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Construction and Adaptability Analysis of User’s Preference Model Based on Check-in Data in LBSN
2021 IEEE International Conference on Data Science and Computer Application (ICDSCA), 2021With the widespread use of mobile phones, users can share their location anytime, anywhere, as a form of check-in data. These data reflect user preferences. Furthermore, the preference rules for different users vary.
Yuanbang Li
semanticscholar +1 more source
SIGSPATIAL Special, 2011
Social networking services have become very popular in recent years, especially among younger people. While many people still sit behind a desktop computer to upload photos, write blogs and communicate with friends in the virtual world, an increasing trend enabled by the development of wireless networks and location sensing technologies is to track and
Xing Xie, Wen-Chih Peng
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Social networking services have become very popular in recent years, especially among younger people. While many people still sit behind a desktop computer to upload photos, write blogs and communicate with friends in the virtual world, an increasing trend enabled by the development of wireless networks and location sensing technologies is to track and
Xing Xie, Wen-Chih Peng
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LBSN-Based Personalized Routes Recommendation
Applied Mechanics and Materials, 2014In this paper, we present personalized routes recommendation on Location Based Social Network. We model user in both geographical space and semantic space, and define Activity Pattern to describe individual’s personalized character, i.e. individual’s activity regularity.
Li Chao Zhu, Zhi Jun Li, Shou Xu Jiang
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Towards privacy-preserving category-aware POI recommendation over encrypted LBSN data
Information SciencesRongxing Lu, Lili Sun
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Towards reliable spatial information in LBSNs
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012The proliferation of Location-based Social Networks (LBSNs) has been rapid during the last year due to the number of novel services they can support. The main interaction between users in an LBSN is location sharing, which builds the spatial component of the system.
Ke Zhang +4 more
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Feature tendency based location prediction in LBSNs
2016 18th International Conference on Advanced Communication Technology (ICACT), 2016The development of location-based social networks (LBSNs) has brought in massive users' mobility data, providing an unprecedented opportunity to study human mobile behavior. However, the existing location prediction methods suffer from incompleteness of mobility data and disability of selecting the effective feature.
Zi Xing, Hui Tian, Tu Chen, Jing Zhang
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