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) …
Deep learning-based collaborative filtering recommender systems: A comprehensive and systematic review
Nowadays, the volume of online information is growing and it is difficult to find the required
information. Effective strategies such as recommender systems are required to overcome …
information. Effective strategies such as recommender systems are required to overcome …
Toward point-of-interest recommendation systems: A critical review on deep-learning Approaches
In recent years, location-based social networks (LBSNs) that allow members to share their
location and provide related services, and point-of-interest (POIs) recommendations which …
location and provide related services, and point-of-interest (POIs) recommendations which …
[HTML][HTML] Accuracy-diversity trade-off in recommender systems via graph convolutions
E Isufi, M Pocchiari, A Hanjalic - Information Processing & Management, 2021 - Elsevier
Graph convolutions, in both their linear and neural network forms, have reached state-of-the-
art accuracy on recommender system (RecSys) benchmarks. However, recommendation …
art accuracy on recommender system (RecSys) benchmarks. However, recommendation …
Point-of-interest preference model using an attention mechanism in a convolutional neural network
AB Kasgari, S Safavi, M Nouri, J Hou, NT Sarshar… - Bioengineering, 2023 - mdpi.com
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 systems in both industry and academia. However, current POI …
GNN at the edge: Cost-efficient graph neural network processing over distributed edge servers
Edge intelligence has arisen as a promising computing paradigm for supporting
miscellaneous smart applications that rely on machine learning techniques. While the …
miscellaneous smart applications that rely on machine learning techniques. While the …
Contrastive trajectory learning for tour recommendation
The main objective of Personalized Tour Recommendation (PTR) is to generate a sequence
of point-of-interest (POIs) for a particular tourist, according to the user-specific constraints …
of point-of-interest (POIs) for a particular tourist, according to the user-specific constraints …
A top-k POI recommendation approach based on LBSN and multi-graph fusion
J Fang, X Meng, X Qi - Neurocomputing, 2023 - Elsevier
POI (Point of Interest) recommendation is a basic and on-going issue in LBSN (Location-
based Social Network) services. In this paper, a novel POI recommendation approach which …
based Social Network) services. In this paper, a novel POI recommendation approach which …
Location recommendation based on mobility graph with individual and group influences
With the rapid development of mobile technology, it is very convenient to share people's
current locations by checking-in on Location-Based Social Networks (LBSNs). Using users' …
current locations by checking-in on Location-Based Social Networks (LBSNs). Using users' …
DeePOF: A hybrid approach of deep convolutional neural network and friendship to Point‐of‐Interest (POI) recommendation system in location‐based social networks
Today, millions of active users spend a percentage of their time on location‐based social
networks like Yelp and Gowalla and share their rich information. They can easily learn about …
networks like Yelp and Gowalla and share their rich information. They can easily learn about …