Recommender systems are one of the most successful applications of data mining and
machine-learning technology in practice. Academic research in the field is historically often …

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

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 …

Recommender systems help users find relevant items of interest, for example on e-
commerce or media streaming sites. Most academic research is concerned with approaches …

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 next Point of Interest (POI) recommendation task is to predict users' immediate next POI
visit given their historical data. Location-Based Social Network (LBSN) data, which is often …

Next Point-of-Interest (POI) recommendation is a longstanding problem across the domains
of Location-Based Social Networks (LBSN) and transportation. Recent Recurrent Neural …

The task of next Point-of-Interest (POI) recommendation aims at recommending a list of POIs
for a user to visit at the next timestamp based on his/her previous interactions, which is …

With the increasing popularity of location-aware social media applications, Point-of-Interest
(POI) recommendation has recently been extensively studied. However, most of the existing …

Social networks have become very important for networking, communications, and content
sharing. Social networking applications generate a huge amount of data on a daily basis …