Results 61 to 70 of about 283 (172)
The Geography of Social Media Data in Urban Areas: Representativeness and Complementarity
ISPRS International Journal of Geo-Information, 2021 This research sheds light on the relationship between the presence of location-based social network (LBSN) data and other economic and demographic variables in the city of Valencia (Spain). For that purpose, a comparison is made between location patterns
Álvaro Bernabeu-Bautista +3 more
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Geographically Insensitive Spatial-Temporal POI Recommendation Based on Heterogeneous Graph Embedding [PDF]
Jisuanji kexue yu tansuoThe increasingly large scale of location-based social networks (LBSN) promotes the rapid development of point-of-interest (POI) recommendation business.
LI Manwen, ZHANG Yueqin, ZHANG Chenwei, ZHANG Zehua
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Crime event prediction with dynamic features
EPJ Data Science, 2018 Nowadays, Location-Based Social Networks (LBSN) collect a vast range of information which can help us to understand the regional dynamics (i.e. human mobility) across an entire city.
Shakila Khan Rumi +2 more
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Ensemble mobility predictor based on random forest and Markovian property using LBSN data
Journal of Internet Services and Applications, 2020 The ubiquitous connectivity of Location-Based Systems (LBS) allows people to share individual location-related data anytime. In this sense, Location-Based Social Networks (LBSN) provides valuable information to be available in large-scale and low-cost ...
Felipe Araújo +5 more
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Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media
ISPRS International Journal of Geo-Information, 2016 Advances in location acquisition and mobile technologies led to the addition of the location dimension to Social Networks (SNs) and to the emergence of a newer class called Location-Based Social Networks (LBSNs). While LBSNs are richer in their model and
Basma AlBanna +3 more
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ISPRS International Journal of Geo-Information, 2020 The information of land use plays an important role in urban planning and optimizing the allocation of resources. However, traditional land use classification is imprecise. For instance, the type of commercial land is highly filled with the categories of
Xucai Zhang +3 more
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POI recommendation by incorporating trust-distrust relationship in LBSN
Tongxin xuebao, 2018 POI (point of interest) recommendation is an important personalized service in the LBSN (location-based social network) which has wide applications such as popular sights recommendation and travel routes planning.Most existing collaborative filter ...
Jinghua ZHU, Qian MING
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Friend Link Prediction Method Based on Heterogeneous Multigraph and Hierarchical Attention
Applied Artificial IntelligenceWith the rapid growth of location-based social network (LBSN), rich data comprising social behaviors and location information among users has emerged.
Aoxue Liu +3 more
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Spectral clustering and embedding-enhanced POI recommendation in location-based social network
Tongxin xuebao, 2020 In order to effectively capture the spatial characteristics of multi-dimensional context information in LBSN,and deeply explore the non-linear interaction between users and POIs,a spectral embedding enhanced POI recommendation algorithm,namely PSC-SMLP ...
Zhen LIU +3 more
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Discovering Memory-Based Preferences for POI Recommendation in Location-Based Social Networks
ISPRS International Journal of Geo-Information, 2019 Point-of-interest (POI) recommendations in location-based social networks (LBSNs) allow online users to discover various POIs for social activities occurring in the near future close to their current locations.
Mingxin Gan, Ling Gao
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