Recently, recommender systems have played an increasingly important role in a wide
variety of commercial applications to help users find favourite products. Research in the …

Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …

As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …

The rapidly growing of Location-based Social Networks (LBSNs) provides a vast amount of
check-in data, which enables many services, eg, point-of-interest (POI) recommendation. In …

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 …

The increasing proliferation of location-based social networks brings about a huge volume
of user check-in data, which facilitates the recommendation of points of interest (POIs). Time …

Next Point-of-interest (POI) recommendation is a key task in improving location-related
customer experiences and business operations, but yet remains challenging due to the …

Location-based social networks (LBSNs) have been studied extensively in recent years.
However, utilizing real-world LBSN data sets yields several weaknesses: sparse and small …

Point-of-Interest (POI) recommendation is a new type of recommendation task that comes
along with the prevalence of location-based social networks and services in recent years …

Human mobility data science using trajectories or check-ins of individuals has many
applications. Recently, we have seen a plethora of research efforts that tackle these …