Characterizing context-aware recommender systems: A systematic literature review
Context-aware recommender systems leverage the value of recommendations by exploiting
context information that affects user preferences and situations, with the goal of …
context information that affects user preferences and situations, with the goal of …
Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges
In the past few years, the social science literature has shown significance attention to
extracting information from social media to track and analyse human movements. In this …
extracting information from social media to track and analyse human movements. In this …
Stan: Spatio-temporal attention network for next location recommendation
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 …
Current state-of-the-art models have attempted to solve spatial sparsity with hierarchical …
Recommendation systems: Algorithms, challenges, metrics, and business opportunities
Recommender systems are widely used to provide users with recommendations based on
their preferences. With the ever-growing volume of information online, recommender …
their preferences. With the ever-growing volume of information online, recommender …
Where to go next: A spatio-temporal gated network for next poi recommendation
Next Point-of-Interest (POI) recommendation which is of great value to both users and POI
holders is a challenging task since complex sequential patterns and rich contexts are …
holders is a challenging task since complex sequential patterns and rich contexts are …
Learning graph-based poi embedding for location-based recommendation
With the rapid prevalence of smart mobile devices and the dramatic proliferation of location-
based social networks (LBSNs), location-based recommendation has become an important …
based social networks (LBSNs), location-based recommendation has become an important …
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation
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 …
discover attractive locations. However, extreme sparsity of user-POI matrices creates a …
An experimental evaluation of point-of-interest recommendation in location-based social networks
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 …
Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of …
Spatial-aware hierarchical collaborative deep learning for POI recommendation
Point-of-interest (POI) recommendation has become an important way to help people
discover attractive and interesting places, especially when they travel out of town. However …
discover attractive and interesting places, especially when they travel out of town. However …
Rank-geofm: A ranking based geographical factorization method for point of interest recommendation
With the rapid growth of location-based social networks, Point of Interest (POI)
recommendation has become an important research problem. However, the scarcity of the …
recommendation has become an important research problem. However, the scarcity of the …