From fingerprint to footprint: Cold-start location recommendation by learning user interest from app data
With increasing diversity of user interest and preference, personalized location
recommendation is essential and beneficial to our daily life. To achieve this, the most critical …
recommendation is essential and beneficial to our daily life. To achieve this, the most critical …
[PDF][PDF] Exploring the context of locations for personalized location recommendations.
Conventional location recommendation models rely on users' visit history, geographical
influence, temporal influence, etc., to infer users' preferences for locations. However …
influence, temporal influence, etc., to infer users' preferences for locations. However …
Personalized location recommendation using mobile phone usage information
Location recommendation has become a hot research area in recent years. The cold-start
problem is still a great challenge in personalized location recommendation, which makes it …
problem is still a great challenge in personalized location recommendation, which makes it …
Resolving data sparsity via aggregating graph-based user–app–location association for location recommendations
Personalized location recommendations aim to recommend places that users want to visit,
which can save their decision-making time in daily life. However, the recommending task …
which can save their decision-making time in daily life. However, the recommending task …
Deep representation learning for location-based recommendation
Z Huang, X Lin, H Liu, B Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Location-based recommendation has recently received a lot of attention in the communities
of information service and mobile application. Its task is to provide personalized …
of information service and mobile application. Its task is to provide personalized …
Leveraging multi-aspect time-related influence in location recommendation
Abstract Point-Of-Interest (POI) recommendation aims to mine a user's visiting history and
find her/his potentially preferred places. Although location recommendation methods have …
find her/his potentially preferred places. Although location recommendation methods have …
Next location recommendation: a multi-context features integration perspective
Next location recommendation aims to mine users' historical trajectories to predict their
potentially preferred locations in the next moment. Although previous studies have explored …
potentially preferred locations in the next moment. Although previous studies have explored …
Modeling personalized out-of-town distances in location recommendation
Location recommendation becomes increasingly important in the mobile era. Particularly,
how to exploit personalized geographical preferences determines the quality of …
how to exploit personalized geographical preferences determines the quality of …
BERT4Loc: BERT for Location—POI recommender system
Recommending points of interest (POI) is a challenging task that requires extracting
comprehensive location data from location-based social media platforms. To provide …
comprehensive location data from location-based social media platforms. To provide …
Spatiotemporal sequential influence modeling for location recommendations: A gravity-based approach
Recommending to users personalized locations is an important feature of Location-Based
Social Networks (LBSNs), which benefits users who wish to explore new places and …
Social Networks (LBSNs), which benefits users who wish to explore new places and …