Linked open data is a relatively new topic area with great potential in a wide range of fields.
In the tourism domain, many studies are using linked open data to address the problem of …

With the advancement of location acquisition technologies, a large amount of raw global
positioning system (GPS) trajectory data is produced by many moving devices. Learning …

Matrix factorization is one of the most popular methods in recommendation systems.
However, it faces two challenges related to the check-in data in point of interest (POI) …

Unmanned Aerial Vehicles (UAVs) have gained momentum as one of the potential solutions
in 5 G networks. Indeed, using UAVs as Aerial Base Stations (ABS) to assist the traditional …

Buildings are fundamental components of cities. Understanding the function of buildings is
therefore of great importance for urban development and management. Some studies have …

Understanding the relationship between human activity patterns and urban spatial structure
planning is one of the core research topics in urban planning. Since a building is the basic …

Currently, an increasing number of private cars drive on roads and produce a massive
volume of trajectory data. These data provide a new opportunity for understanding people's …

In the era of big data, information overload poses a challenge, complicating user decision-
making. Recommender systems aim to assist in this process. In recent years, research on …

Personalized recommender systems have been widely deployed in various scenarios to
enhance user experience in response to the challenge of information explosion. Especially …

The great advances in mobile devices make it critical to exploit multiple auxiliary information
for efficient point-of-interest (POI) recommendations. However, most existing methods can …