The rapid growth of location‐based services (LBSs) has greatly enriched people's urban
lives and attracted millions of users in recent years. Location‐based social networks …

Multi-criteria recommender systems have garnered considerable interests from researchers
and practitioners. In this paper, we study the optimization of the accuracy and scalability of …

Today, the public is not willing to spend much time identifying their personal needs.
Therefore, it needs a system that automatically recommends customized items to customers …

Friend recommendation is an important feature of social network applications to help people
make new friends and expand their social circles. However, the user-location and user-user …

Recommender system is a popular tool that aims to provide personalized suggestions to
user about items, products, services, and so on. Recommender system has effectively been …

Recently recommender systems become more and more significant in the daily life such as
event recommendation, content recommendation and commodity recommendation, and so …

With the wide adoption of mobile devices, it becomes increasingly important to understand
how users use mobile apps. Knowing when and where certain apps are used is instrumental …

Friend and point-of-interest (POI) recommendation are two primary individual services in
location-based social networks (LBSNs). Major social platforms such as Foursquare and …

The COVID-19 pandemic has made it paramount to maintain social distance to limit the viral
transmission probability. At the same time, local businesses (eg, restaurants, cafes, stores …

With the rapid development of mobile computing technology, more and more complex tasks
are now able to be fulfilled on users' mobile devices with an increasing number of novel …