Rapid technological advances have led to the production of different types of biological data
and enabled construction of complex networks with various types of interactions between …

During the last ten years, a large body of research extracting and analysing geographic data
from social media has developed. We analyse 690 papers across 20 social media platforms …

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 …

Abstract Point-of-Interest (POI) recommendation has been a trending research topic as it
generates personalized suggestions on facilities for users from a large number of candidate …

Human mobility prediction is of great importance for a wide spectrum of location-based
applications. However, predicting mobility is not trivial because of three challenges: 1) the …

With the widespread popularization of social network platforms, user-generated content and
other social network data are growing rapidly. It is difficult for social users to select interested …

Spatial and temporal contextual information plays a key role for analyzing user behaviors,
and is helpful for predicting where he or she will go next. With the growing ability of …

Sequential location recommendation plays an important role in many applications such as
mobility prediction, route planning and location-based advertisements. In spite of evolving …

With the rapid prevalence of smart mobile devices and the dramatic proliferation of location-
based social networks (LBSNs), location-based recommendation has become an important …

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 …