Results 151 to 160 of about 228 (183)

Point-of-Interest Recommendation Based on Spatial Clustering in LBSN

2018 4th Annual International Conference on Network and Information Systems for Computers (ICNISC), 2018
In location-based social networks, many studies have been put into forward to improve point-of-interest (POI) recommendation, according to the users' historical check-ins and context aware information. But the spatial distribution feature of the users' check-in has not been well studied.
Chang Su, Ning Li, Xian-Zhong Xie
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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), 2018
Advances 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, Linjie Zhang, Yizhe Huang, Baoming Bai, Jianfeng Ma   +4 more
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Using Visualization to Explore Original and Anonymized LBSN Data

Computer Graphics Forum, 2016
AbstractWe present GSUVis, a visualization tool designed to provide better understanding of location‐based social network (LBSN) data. LBSN data is one of the most important sources of information for transportation, marketing, health, and public safety.
E. Tarameshloo, M. Hosseinkhani Loorak, P. W.L. Fong, S. Carpendale   +3 more
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Location-Time-Sociality Aware Personalized Tourist Attraction Recommendation in LBSN

2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)), 2018
With the development of the tourism, vast amount of tourist attraction information makes it complex and time-consuming for users to obtain satisfactory travel destination. Rich topological, temporal and spatial information in Location-Based Social Network (LBSN) helps to mine user preference deeply and evokes effectiveness of tourist attraction ...
Ziqing Zhu, Jiuxin Cao, Chenghao Weng
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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, 2013
With 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, Zhiwen Yu, Xinjiang Lu, Jilei Tian   +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, 2015
LBSN 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

2022
Trung, Huynh Thanh, Van Vinh, Tong, Nguyen, Tam, Jo, Jun Hyung, Hongzhi Yin, Nguyen Quoc Viet Hung   +5 more
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Continuous Geo-Social Group Monitoring in Dynamic LBSNs

IEEE Transactions on Knowledge and Data Engineering, 2022
Huaijie Zhu, Wei Liu, Jian Yin, Libin Zheng, Xin Huang, Jianliang Xu, Wang-Chien Lee   +6 more
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IAN

Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021
Liang-yu Chen, Yutong Chen, Young D. Kwon, Youwen Kang, Pan Hui   +4 more
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Network Embedding for Recommendation Systems on LBSNs

2021
Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu, Maosong Sun   +4 more
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