Location recommendation based on mobility graph with individual and group influences
With the rapid development of mobile technology, it is very convenient to share people's
current locations by checking-in on Location-Based Social Networks (LBSNs). Using users' …
current locations by checking-in on Location-Based Social Networks (LBSNs). Using users' …
Spatiotemporal sequential influence modeling for location recommendations: A gravity-based approach
Recommending to users personalized locations is an important feature of Location-Based
Social Networks (LBSNs), which benefits users who wish to explore new places and …
Social Networks (LBSNs), which benefits users who wish to explore new places and …
Behavior-based location recommendation on location-based social networks
Location recommendation methods on location-based social networks (LBSN) discover the
locational preference of users along with their spatial movement patterns from users' check …
locational preference of users along with their spatial movement patterns from users' check …
Exploring temporal effects for location recommendation on location-based social networks
Location-based social networks (LBSNs) have attracted an inordinate number of users and
greatly enriched the urban experience in recent years. The availability of spatial, temporal …
greatly enriched the urban experience in recent years. The availability of spatial, temporal …
[HTML][HTML] STS: spatial–temporal–semantic personalized location recommendation
The rapidly growing location-based social network (LBSN) has become a promising platform
for studying users' mobility patterns. Many online applications can be built based on such …
for studying users' mobility patterns. Many online applications can be built based on such …
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation
Friend recommendation from user trajectory is a vital real-world application of location-
based social networks (LBSN) services. Previous statistical analysis indicated that social …
based social networks (LBSN) services. Previous statistical analysis indicated that social …
Addressing the cold-start problem in location recommendation using geo-social correlations
Location-based social networks (LBSNs) have attracted an increasing number of users in
recent years, resulting in large amounts of geographical and social data. Such LBSN data …
recent years, resulting in large amounts of geographical and social data. Such LBSN data …
[HTML][HTML] Context-aware group-oriented location recommendation in location-based social networks
E Khazaei, A Alimohammadi - ISPRS international journal of geo …, 2019 - mdpi.com
Location-based social networking services have attracted great interest with the growth of
smart mobile devices. Recommending locations for users based on their preferences is an …
smart mobile devices. Recommending locations for users based on their preferences is an …
Modeling user mobility for location promotion in location-based social networks
With the explosion of smartphones and social network services, location-based social
networks (LBSNs) are increasingly seen as tools for businesses (eg, restaurants, hotels) to …
networks (LBSNs) are increasingly seen as tools for businesses (eg, restaurants, hotels) to …
Effective fine-grained location prediction based on user check-in pattern in LBSNs
Abstract Location-Based Social Networks (LBSNs) have built bridges between virtual space
and real-world mobility in recent years. The massive check-in data generated in LBSNs …
and real-world mobility in recent years. The massive check-in data generated in LBSNs …