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A Study of Tourist Sequential Activity Pattern through Location Based Social Network (LBSN)
International Conference on Orange Technologies, 2018Sequential Pattern Mining (SPM) is an important component in establishing patterns and mining trends of certain activities. In the past, this technique has been used in various fields such as consumer-watch, making future predictions and analyzing and ...
A. Talpur, Yanchun Zhang
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TSFR: Time-aware Semantic-based Friend Recommendation in LBSNs
2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2018Advances in broadband wireless networks and location sensing technologies have led to the emergence of location-based online social networks (LBSNs) in recent years. Users' passion for sharing locations has attracted much attention to traditional social networks.
Xiaoyan Zhu +4 more
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Hybrid POI group recommender system based on group type in LBSN
Expert systems with applications, 2023Zahra Bahari Sojahrood +2 more
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Mutual Graph Embedding in LBSN: Capturing Multi-Factor Influence for Point-of-Interest Prediction
2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2019With the emerging of various location-based social networks (LBSNs), point-of-interest (POI) prediction becomes a hot research topic which helps to provide personalized location recommendation for users and help them discover new places and activities ...
Zhengxun Zhao +3 more
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A top-k POI recommendation approach based on LBSN and multi-graph fusion
Neurocomputing, 2022Jinfeng Fang, Xiangfu Meng, X. Qi
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Understanding Human Dynamics of Check-in Behavior in LBSNs
2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013With the increase of popularity and pervasive use of sensor-embedded smart phones, location-based social network services (LBSNs) are widely used in recent years. In this paper, we investigate human dynamics of the check-in data crawled from Jie Pang, a famous Chinese LBSN service. We study interval time and jump size (i.e.
Yun Feng +3 more
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LBSN Data and the Social Butterfly Effect (Vision Paper)
Proceedings of the 8th ACM SIGSPATIAL International Workshop on Location-Based Social Networks, 2015LBSN data are well-suited for research questions and perspectives on social or spatial phenomena. Researchers often subset large LBSN datasets into different social networks (using snowball sampling), temporal or spatial granularities, to test for statistical patterns.
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MSC-LBSN: Multi-social Context-aware Hypergraph Representation Learning for LBSNs
2022Trung, Huynh Thanh +5 more
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Continuous Geo-Social Group Monitoring in Dynamic LBSNs
IEEE Transactions on Knowledge and Data Engineering, 2022Huaijie Zhu +6 more
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