As a pivotal tool to alleviate the information overload problem, recommender systems aim to
predict user's preferred items from millions of candidates by analyzing observed user-item …

The emergence of Location-based social networks (LBSNs) in recent years has boosted
improvements in Recommender Systems for a new and specific task: the recommendation of …

Accurately recommending the next point of interest (POI) has become a fundamental
problem with the rapid growth of location-based social networks. However, sparse …

Internet users would like to obtain interesting location information for a travel. With the rapid
development of social media, many kinds of location recommender systems are proposed in …

With the availability of vast amounts of user visitation history on location-based social
networks (LBSN), the problem of Point-of-Interest (POI) prediction has been extensively …

With the rapid development of location-based social networks (LBSNs), point-of-interest
(POI) recommendations have become a practical problem attracting more and more …

The popularization of Location-based social networks (LBSNs) in last years has provided a
lot of improvements in several Recommender Systems to the task of points-of-interest (POI) …

The spatial structures of cities defined by population distribution, distribution of facilities, and
mobility have a significant impact on lifestyles of residents and their wellbeing. In this study …

A large volume of data flowing throughout location-based social networks (LBSN) gives
support to the recommendation of points-of-interest (POI). One of the major challenges that …

Business locations is most important factor to consider before starting a business because
the best location attracts more number of people. With the help of web search engines, the …