Social networks have evolved with the combination of geographical data, into location-
based social networks (LBSNs). LBSNs give users the opportunity, not only to communicate …

Location-Based Social Networks (LBSNs) have recently gained increasing popularity.
Timeaware Point-of-Interest (POI) recommendation is one of the most important location …

In recent years, the prevalent of location-based social networks contributes massive data for
location recommendation. Although collaborative filtering (CF) algorithm has been widely …

Existing ubiquitous clinic recommendation systems assume that patients' preferences are
alike and thus apply the same recommendation mechanism to all mobile patients. However …

In the online-to-offline (O2O) business model, location recommendation plays an important
role and is an essential component of the location-based services. The check-in data, which …

We are developing a recommender system for tourist spots. The challenge is mainly to
characterize tourist spots whose features change dynamically with trends, events, season …

地理社交网络将地理位置信息融合进传统社交网络, 将人们的现实生活和虚拟世界的生活连接在
一起. 作为地理社交网络的一个重要应用, 位置推荐可以向人们推荐其可能感兴趣的位置 …

Animals search for food in their environment with a decision strategy which keeps them fit.
Optimal foraging theory models this foraging behavior to determine the optimal decision …

Las aplicaciones sensibles al contexto adaptan automáticamente su comportamiento y
configuración, dependiendo de las condiciones del entorno y de las preferencias del …

Users can share their location with other social network users through location-embedded
information in LBSNs (Location-Based Social Network). LBSNs contain useful resources …