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) …
A survey of graph neural network based recommendation in social networks
X Li, L Sun, M Ling, Y Peng - Neurocomputing, 2023 - Elsevier
With the widespread popularization of social network platforms, user-generated content and
other social network data are growing rapidly. It is difficult for social users to select interested …
other social network data are growing rapidly. It is difficult for social users to select interested …
Learning fair representations via rebalancing graph structure
Abstract Graph Neural Network (GNN) models have been extensively researched and
utilised for extracting valuable insights from graph data. The performance of fairness …
utilised for extracting valuable insights from graph data. The performance of fairness …
Hierarchical multi-task graph recurrent network for next poi recommendation
Learning which Point-of-Interest (POI) a user will visit next is a challenging task for
personalized recommender systems due to the large search space of possible POIs in the …
personalized recommender systems due to the large search space of possible POIs in the …
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 …
Multi-view enhanced graph attention network for session-based music recommendation
Traditional music recommender systems are mainly based on users' interactions, which limit
their performance. Particularly, various kinds of content information, such as metadata and …
their performance. Particularly, various kinds of content information, such as metadata and …
A multi-task graph neural network with variational graph auto-encoders for session-based travel packages recommendation
Session-based travel packages recommendation aims to predict users' next click based on
their current and historical sessions recorded by Online Travel Agencies (OTAs). Recently …
their current and historical sessions recorded by Online Travel Agencies (OTAs). Recently …
Feature-based POI grouping with transformer for next point of interest recommendation
With the increasing prevalence of location-based services, Point of Interest (POI)
recommendation has become an active research topic. While Graph Neural Networks …
recommendation has become an active research topic. While Graph Neural Networks …
Intent-aware Graph Neural Network for Point-of-Interest embedding and recommendation
Point of Interest (POI) recommendation algorithms can help users find the POIs that they
prefer, and they can also help merchants to find potential customers. However, most existing …
prefer, and they can also help merchants to find potential customers. However, most existing …
Context-and category-aware double self-attention model for next POI recommendation
Abstract Point-of-Interest (POI) recommender systems can effectively assist users to find their
preferred POIs. Recent studies mainly focus on extracting users' dynamic context from their …
preferred POIs. Recent studies mainly focus on extracting users' dynamic context from their …