Results 151 to 160 of about 283 (172)
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Friendship Prediction Based on the Fusion of Topology and Geographical Features in LBSN

2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013
Friendship prediction in social networks is useful for various applications, such as friend/place recommendation and privacy management. In this paper, we propose a friendship prediction approach by fusing the topology and geographical features in location based social networks (LBSNs). We investigate the features of users' relationship both online and
Hui Luo   +4 more
openaire   +1 more source

Continuous Geo-Social Group Monitoring in Dynamic LBSNs

IEEE Transactions on Knowledge and Data Engineering, 2022
Huaijie Zhu   +6 more
openaire   +1 more source

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 0005   +4 more
openaire   +1 more source

UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN

2015
Massive amounts of geo-social data is generated daily. In this paper, we propose UrbanHubble, a location-based predictive analytics tool that entails a broad range of state-of-the-art location prediction and recommendation algorithms. Besides, UrbanHubble consists of a visualization component that depicts the real-time complex interactions of users on ...
Roland Assam   +2 more
openaire   +1 more source

MSC-LBSN: Multi-social Context-aware Hypergraph Representation Learning for LBSNs

2022
Trung, Huynh Thanh   +5 more
openaire   +1 more source

IAN

Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021
Liang-yu Chen   +4 more
openaire   +1 more source

Network Embedding for Recommendation Systems on LBSNs

2021
Cheng Yang   +4 more
openaire   +1 more source

Personalized Keyword Boosting for Venue Suggestion Based on Multiple LBSNs

2017
Personalized venue suggestion plays a crucial role in satisfying the users needs on location-based social networks (LBSNs). In this study, we present a probabilistic generative model to map user tags to venue taste keywords. We study four approaches to address the data sparsity problem with the aid of such mapping: one model to boost venue taste ...
Mohammad Aliannejadi   +2 more
openaire   +1 more source

A Novel Social Search Model Based on Clustering Friends in LBSNs

2017
With the development of online social networks (OSNs), OSNs have become an indispensable part in people’s life. People tend to search information through OSNs rather than traditional search engines. Especially with the appearance of location-based social networks (LBSNs), social search in LBSNs is increasingly important in the burgeoning mobile trend ...
Yang Sun, Jiuxin Cao, Tao Zhou, Shuai Xu
openaire   +1 more source

Multi-view hypergraph convolution network for semantic annotation in LBSNs

Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2021
Manisha Dubey   +2 more
openaire   +1 more source

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