Significant research has been carried out in the field of User Behavior Analysis, focused on
understanding, modeling and predicting past, present and future behaviors of users …

Currently, tourism has become increasingly related to new technologies. In this context,
itinerary planning and trip recommendation are challenging tasks for tourists with different …

The sequences of users' behaviors generally indicate their preferences, and they can be
used to improve next-item prediction in sequential recommendation. Unfortunately, users' …

With the rapid development of information technology and data science, as well as the
innovative concept of “Internet+” education, personalized e‐learning has received …

With the rapid development of internet economy, personal recommender system plays an
increasingly important role in e-commerce. In order to improve the quality of …

Abstract Point-of-Interest (POI) recommender systems can effectively assist users to find their
preferred POIs. Recent studies mainly focus on extracting users' dynamic context from their …

Route schema is difficult to plan for tourists, because they demand to pick points of interest
(POI) in unknown areas that align with their preferences and limitations. This research …

Abstract Next Point-of-Interest (POI) recommendation is becoming increasingly popular with
the rapidly growing of Location-based Social Networks (LBSNs). Most existing models only …

Travel location recommendation methods using community-contributed geotagged photos
are based on past check-ins. Therefore, these methods cannot effectively work for new travel …

The accurate and rapid transfer of complex urban spatio-temporal data is crucial for urban
computing tasks such as urban planning and public transportation deployment for smart-city …