Massive digital mobility data are accumulated nowadays due to the proliferation of location-
based service (LBS), which provides the opportunity of learning knowledge from human …

The 5G networks have extensively promoted the growth of mobile users and novel
applications, and with the skyrocketing user requests for a large amount of popular content …

Trajectory prediction is an important task that enables applications in many domains, such
as intelligent transportation systems and video analytics. Most existing methods either (i) …

With the popularity of mobile devices, mobile applications have become an essential part of
people's lives. To provide secure mobile application download channels for users, various …

Contextual features are important data sources for building citywide crowd mobility
prediction models. However, the difficulty of applying context lies in the unknown …

The diffusion of innovations theory has been studied for years. Previous research efforts
mainly focus on key elements, adopter categories, and the process of innovation diffusion …

5G 网络中的用户会产生大量的访问数据, 导致用户复访行为难以精准预测, 因此提出基于电信大
数据的5G 网络海量用户复访行为预测模型. 从电信大数据中提取用户上网历史行为特征数据 …

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 …