Results 1 to 10 of about 899 (118)
A user behavior inertia based spatio temporal next POI recommendation model [PDF]
The next POI (point-of-interest) recommendation problem is very challenging. It requires not only considering the previous state, location, and user context information, but also analyzing the user behavior.
Kaiqi Zhang +3 more
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Point-of-Interest Preference Model Using an Attention Mechanism in a Convolutional Neural Network [PDF]
In recent years, there has been a growing interest in developing next point-of-interest (POI) recommendation systems in both industry and academia. However, current POI recommendation strategies suffer from the lack of sufficient mixing of details of the
Abbas Bagherian Kasgari +5 more
doaj +2 more sources
As the core of location-based social networks (LBSNs), the main task of next point-of-interest (POI) recommendation is to predict the next possible POI through the context information from users’ historical check-in trajectories.
Zheng Li +3 more
doaj +1 more source
An Attention-Based Spatiotemporal GGNN for Next POI Recommendation
The task of Point-of-Interest (POI) recommendation is to recommend the next interest locations for users. Gated Graph Neural Network (GGNN) has been proved to be effective on POI recommendation tasks.
Quan Li +3 more
doaj +1 more source
Exploring Temporal and Spatial Features for Next POI Recommendation in LBSNs
With the increasing popularity of Location-Based Social Networks (LBSNs), a significant volume of check-in data of users has been generated. Such massive data brings difficulties for the users to efficiently retrieve their desired point-of-interest (POI).
Miao Li +4 more
doaj +1 more source
Integrate Influence of Regions and Friends for Next POI Recommendation
With the increasing popularity of mobile devices, a large amount of user check-in point of interests (POIs) data have been accumulated. The information of user check-in makes the recommendation of the next POI become a hot issue in recent years.
ZHANG Aoya, SHI Meihui, SHEN Derong, KOU Yue, NIE Tiezheng
doaj +1 more source
A Point-of-Interest Recommendation Method Exploiting Sequential, Category and Geographical Influence
Point of interest (POI) recommendation as an important service in location-based social networks has developed rapidly, which can help users find more interesting unknown locations and facilitate service providers to provide users with more accurate ...
Xican Wang +4 more
doaj +1 more source
With the widespread use of the location-based social networks (LBSNs), the next point-of-interest (POI) recommendation has become an essential service, which aims to understand the user’s check-in behavior at the current moment by analyzing and mining ...
Jing Tian, Zilin Zhao, Zhiming Ding
doaj +1 more source
Next Point-of-Interest (POI) recommendation has shown great value for both users and providers in location-based services. Existing methods mainly rely on partial information in users’ check-in sequences, and are brittle to users with few interactions ...
Zheng Li +4 more
doaj +1 more source
Dynamic Recommendation of POI Sequence Responding to Historical Trajectory
Point-of-Interest (POI) recommendation is attracting the increasing attention of researchers because of the rapid development of Location-based Social Networks (LBSNs) in recent years.
Jianfeng Huang +3 more
doaj +1 more source

