A large-scale system for obtaining fine-grained vehicle trajectories is becoming increasingly
important because it lays a solid foundation for a wide range of downstream applications …

Every user carries their smartphones wherever they go–a crucial aspect ignored by the
current models for spatial recommendations. In detail, the current approaches learn the …

Objectives With the development of urbanization, people's travel behaviors have diversified.
An in-depth understanding of human behavior and the modeling and prediction of individual …

With the research directions described in this thesis, we seek to address the critical
challenges in designing recommender systems that can understand the dynamics of …

随着城市化的发展, 人们出行的方式逐渐多样化, 对人类行为的深入理解以及对个体出行行为的
建模预测有助于解释若干复杂的社会经济现象, 且在基于位置的服务, 交通规划 …

Fundamental changes have been happening in healthcare organizations and delivery in
these decades, including more accessible physician information, the low-cost collection and …

Handling large corpuses of documents is of significant importance in many fields, no more
so than in the areas of crime investigation and defence, where an organisation may be …

User attributes, such as gender, age, and education background, affect users' spatio-
temporal mobility and smartphone usage. A two-week diary study was conducted among …

Location information is becoming increasingly popular in online social networks, vehicle
networks, and online games. In this paper, we develop a distributed protocol that allows one …

Mobile devices enable users to retrieve information at any time and any place. Considering
the occasional requirements and fragmentation usage pattern of mobile users, temporal …