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

Spatiotemporal data mining (STDM) discovers useful patterns from the dynamic interplay
between space and time. Several available surveys capture STDM advances and report a …

The generation of trajectory data has increased dramatically with the advent and
widespread use of GPS-enabled devices. This rich source of data provides invaluable …

The recent growth of social networking platforms also led to the emergence of social
spammers, who overwhelm legitimate users with unwanted content. The existing social …

The integration of multiple heterogeneous data into graph models has been the subject of
extensive research in recent years. Harnessing these resulting Heterogeneous Information …

With the wide use of Location-Based Social Networks (LBSNs), predicting user friendship
from online social relations and offline trajectory data is of great value to improve the …

Friend recommendation from user trajectory is a vital real-world application of location-
based social networks (LBSN) services. Previous statistical analysis indicated that social …

Recently, friend recommendation has gained widespread popularity in location-based social
networks (LBSNs), which provides more opportunities for users to forge new friendships …

Dialogue, the most fundamental and specially privileged arena of language, gains
increasing ubiquity across the Web in recent years. Quickly going through the long dialogue …

Trip recommendation is a popular and significant location-aware service that can help
visitors make more accurate travel plans. Its principal purpose is to provide a sequence of …