Rapid advance of location acquisition technologies boosts the generation of trajectory data,
which track the traces of moving objects. A trajectory is typically represented by a sequence …

Smart city development is gaining widespread acceptance as a means of mitigating urban
development problems. However, the implementation of smart cities faces challenges …

The proliferation of trajectory data in various application domains has inspired tremendous
research efforts to analyze large-scale trajectory data from a variety of aspects. A …

In the modern e-commerce, the behaviors of customers contain rich information, eg,
consumption habits, the dynamics of preferences. Recently, session-based …

Deep learning based trajectory similarity computation holds the potential for improved
efficiency and adaptability over traditional similarity computation. However, existing learning …

The matching of similar pairs of objects, called similarity join, is fundamental functionality in
data management. We consider the case of trajectory similarity join (TS-Join), where the …

Large-scale trajectory dataset is always required for self-driving and many other
applications. In this paper, we focus on the trajectory generation problem, which aims to …

The computation of trajectory similarity is a crucial task in many spatial data analysis
applications. However, existing methods have been designed primarily for trajectories in …

The matching of similar pairs of objects, called similarity join, is fundamental functionality in
data management. We consider two cases of trajectory similarity joins (TS-Joins), including …

Spatial keyword search has been playing an indispensable role in personalized route
recommendation and geo-textual information retrieval. In this light, we conduct a survey on …