The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …

With the surging of smartphone sensing, wireless networking, and mobile social networking
techniques, Mobile Crowd Sensing and Computing (MCSC) has become a promising …

Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …

Recommender systems can mitigate the information overload problem by suggesting users'
personalized items. In real-world recommendations such as e-commerce, a typical …

Point-of-Interest (POI) recommendation has become an important means to help people
discover attractive locations. However, extreme sparsity of user-POI matrices creates a …

Urbanization's rapid progress has modernized many people's lives but also engendered big
issues, such as traffic congestion, energy consumption, and pollution. Urban computing …

Traditional data mining usually deals with data from a single domain. In the big data era, we
face a diversity of datasets from different sources in different domains. These datasets …

Personalized point-of-interest (POI) recommendation is a significant task in location-based
social networks (LBSNs) as it can help provide better user experience as well as enable …

The popularity of location-based social networks provide us with a new platform to
understand users' preferences based on their location histories. In this paper, we present a …

Recent advances in localization techniques have fundamentally enhanced social
networking services, allowing users to share their locations and location-related contents …