Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of
computing with smart mobile phones that typically allows the devices to function in an …

Smartphones are considered as one of the most essential and highly personal devices of
individuals in our current world. Due to the popularity of context-aware technology and …

High-quality education is one of the keys to achieving a more sustainable world. In contrast
to traditional face-to-face classroom education, online education enables us to record and …

Bundle recommendation aims to recommend the user a bundle of items as a whole.
Previous models capture user's preferences on both items and the association of items …

With the popularity of Internet of Things (IoT), Point‐of‐Interest (POI) recommendation has
become an important application for location‐based services (LBS). Meanwhile, there is an …

In the modern e-commerce, the behaviors of customers contain rich information, eg,
consumption habits, the dynamics of preferences. Recently, session-based …

The problem of point of interest (POI) recommendation is to provide personalized
recommendations of places of interests, such as restaurants, for mobile users. Due to its …

Location-based social networks (LBSNs) provide people with an interface to share their
locations and write reviews about interesting places of attraction. The shared locations form …

The advances in location-acquisition technologies have led to a myriad of spatial
trajectories. These trajectories are usually generated at a low or an irregular frequency due …

Big data increasingly benefit both research and industrial area such as health care, finance
service and commercial recommendation. This paper presents a personalized travel …