Next Point-of-Interest (POI) recommendation which is of great value to both users and POI
holders is a challenging task since complex sequential patterns and rich contexts are …

With the recent surge of location based social networks (LBSNs), activity data of millions of
users has become attainable. This data contains not only spatial and temporal stamps of …

Point-of-interest (POI) recommendation that suggests new places for users to visit arises with
the popularity of location-based social networks (LBSNs). Due to the importance of POI …

Location prediction is a key problem in human mobility modeling, which predicts a user's
next location based on historical user mobility traces. As a sequential prediction problem by …

Point-of-interest (POI) recommendation is an important service to Location-Based Social
Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of …

Recommending users with their preferred points-of-interest (POIs), eg, museums and
restaurants, has become an important feature for location-based social networks (LBSNs) …

Successive point-of-interest (POI) recommendation in location-based social networks
(LBSNs) becomes a significant task since it helps users to navigate a number of candidate …

Providing location recommendations becomes an important feature for location-based social
networks (LBSNs), since it helps users explore new places and makes LBSNs more …

The availability of user check-in data in large volume from the rapid growing location-based
social networks (LBSNs) enables a number of important location-aware services. Point-of …

The problem of point of interest (POI) recommendation is to provide personalized
recommendations of places, such as restaurants and movie theaters. The increasing …