Geographical influence has been intensively exploited for location recommendations in
location-based social networks (LBSNs) due to the fact that geographical proximity …

With the rapidly growing location-based social networks (LBSNs), personalized geo-social
recommendation becomes an important feature for LBSNs. Personalized geo-social …

With the rapid growth of location-based social networks (LBSNs), location recommendations
play an important role in shaping the life of individuals. Fortunately, a variety of community …

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 …

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 …

With the rapid growth of location-based social networks (LBSNs), it is now available to
analyze and understand user mobility behavior in real world. Studies show that users …

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 …

In location-based social networks (LBSNs), time significantly affects users' check-in
behaviors, for example, people usually visit different places at different times of weekdays …

The location-based social networks (LBSN) facilitate users to check-in their current location
and share it with other users. The accumulated check-in data can be employed for the …

Geographical characteristics derived from the historical check-in data have been reported
effective in improving location recommendation accuracy. However, previous studies mainly …