Research commentary on recommendations with side information: A survey and research directions
Recommender systems have become an essential tool to help resolve the information
overload problem in recent decades. Traditional recommender systems, however, suffer …
overload problem in recent decades. Traditional recommender systems, however, suffer …
Point-of-interest recommender systems based on location-based social networks: a survey from an experimental perspective
P Sánchez, A Bellogín - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Point-of-Interest recommendation is an area of increasing research and development
interest within the widely adopted technologies known as Recommender Systems. Among …
interest within the widely adopted technologies known as Recommender Systems. Among …
GNN-based long and short term preference modeling for next-location prediction
Next-location prediction is a special task of the next POIs recommendation. Different from
general recommendation tasks, next-location prediction is highly context-dependent:(1) …
general recommendation tasks, next-location prediction is highly context-dependent:(1) …
Heterogeneous network representation learning: A unified framework with survey and benchmark
Since real-world objects and their interactions are often multi-modal and multi-typed,
heterogeneous networks have been widely used as a more powerful, realistic, and generic …
heterogeneous networks have been widely used as a more powerful, realistic, and generic …
An attention‐based category‐aware GRU model for the next POI recommendation
With the continuous accumulation of users' check‐in data, we can gradually capture users'
behavior patterns and mine users' preferences. Based on this, the next point‐of‐interest …
behavior patterns and mine users' preferences. Based on this, the next point‐of‐interest …
Bridging collaborative filtering and semi-supervised learning: a neural approach for poi recommendation
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) …
extensive attention from both academia and industry. Among them, POI (point of interest) …
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 …
What your images reveal: Exploiting visual contents for point-of-interest recommendation
The rapid growth of Location-based Social Networks (LBSNs) provides a vast amount of
check-in data, which facilitates the study of point-of-interest (POI) recommendation. The …
check-in data, which facilitates the study of point-of-interest (POI) recommendation. The …
STELLAR: Spatial-temporal latent ranking for successive point-of-interest recommendation
Successive point-of-interest (POI) recommendation in location-based social networks
(LBSNs) becomes a significant task since it helps users to navigate a number of candidate …
(LBSNs) becomes a significant task since it helps users to navigate a number of candidate …
A category-aware deep model for successive POI recommendation on sparse check-in data
As considerable amounts of POI check-in data have been accumulated, successive point-of-
interest (POI) recommendation is increasingly popular. Existing successive POI …
interest (POI) recommendation is increasingly popular. Existing successive POI …