Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …

Knowledge graph (KG) plays an increasingly important role in recommender systems.
Recently, graph neural networks (GNNs) based model has gradually become the theme of …

Next Point-of Interest (POI) recommendation plays an important role in location-based
applications, which aims to recommend the next POIs to users that they are most likely to …

The next location recommendation is at the core of various location-based applications.
Current state-of-the-art models have attempted to solve spatial sparsity with hierarchical …

Point-of-interest (POI) recommendation that suggests new places for users to visit arises with
the popularity of location-based social networks (LBSNs). Due to the importance of POI …

With the prevalence of social media, there has recently been a proliferation of
recommenders that shift their focus from individual modeling to group recommendation …

Spatial and temporal contextual information plays a key role for analyzing user behaviors,
and is helpful for predicting where he or she will go next. With the growing ability of …

Recommender system is one of the most popular data mining topics that keep drawing
extensive attention from both academia and industry. Among them, POI (point of interest) …

Incorporating Knowledge Graphs (KG) into recommeder system as side information has
attracted considerable attention. Recently, the technical trend of Knowledge-aware …

Point-of-interest (POI) recommendation is an important service to Location-Based Social
Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of …