Two characteristics of location-based services are mobile trajectories and the ability to
facilitate social networking. The recording of trajectory data contributes valuable resources …

The ubiquity of mobile devices and the popularity of location-based-services have
generated, for the first time, rich datasets of people's location information at a very high …

Learning latent representations for users and points of interests (POIs) is an important task in
location-based social networks (LBSN), which could largely benefit multiple location-based …

Rich location data of mobile users collected from smart phones and location-based social
networking services enable us to measure the mobility relationship strength based on their …

Road traffic congestion is an important issue in modern cities, however most existing traffic
jam identification solutions are based on expensive facilities such as sensors or transport …

Human social interactions occur in group settings of varying sizes and locations, depending
on the type of social activity. The ability to distinguish group formations based on their …

Recently, the emerging Social Internet of Things (SIoT) has opened up a myriad of research
opportunities. One of the most fundamental research challenges posed by SIoT and its …

This article studies the problem of learning effective representations for Location-Based
Social Networks (LBSN), which is useful in many tasks such as location recommendation …

The advent of geolocation technologies has generated unprecedented rich datasets of
people's location information at a very high fidelity. These location datasets can be used to …

近年来, 随着空间数据采集技术的发展, 基于位置信息的用户行为轨迹分析及其应用的研究引起
了广泛关注, 并已展现了良好的商业前景. 根据应用的领域, 对这一问题的研究主要可以分为智能 …