Network representation learning: A survey
With the widespread use of information technologies, information networks are becoming
increasingly popular to capture complex relationships across various disciplines, such as …
increasingly popular to capture complex relationships across various disciplines, such as …
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 …
Graph neural networks: foundation, frontiers and applications
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …
recent years. Graph neural networks, also known as deep learning on graphs, graph …
Decentralized edge intelligence: A dynamic resource allocation framework for hierarchical federated learning
To enable the large scale and efficient deployment of Artificial Intelligence (AI), the
confluence of AI and Edge Computing has given rise to Edge Intelligence, which leverages …
confluence of AI and Edge Computing has given rise to Edge Intelligence, which leverages …
Where to go next: A spatio-temporal gated network for next poi recommendation
Next Point-of-Interest (POI) recommendation which is of great value to both users and POI
holders is a challenging task since complex sequential patterns and rich contexts are …
holders is a challenging task since complex sequential patterns and rich contexts are …
GETNext: trajectory flow map enhanced transformer for next POI recommendation
Next POI recommendation intends to forecast users' immediate future movements given their
current status and historical information, yielding great values for both users and service …
current status and historical information, yielding great values for both users and service …
Deep-distributed-learning-based POI recommendation under mobile-edge networks
With the rapid development of edge intelligence in wireless communication networks,
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …
mobile-edge networks (MENs) have been broadly discussed in academia. Supported by …
Origin-destination matrix prediction via graph convolution: a new perspective of passenger demand modeling
Ride-hailing applications are becoming more and more popular for providing drivers and
passengers with convenient ride services, especially in metropolises like Beijing or New …
passengers with convenient ride services, especially in metropolises like Beijing or New …
Revisiting user mobility and social relationships in lbsns: a hypergraph embedding approach
Location Based Social Networks (LBSNs) have been widely used as a primary data source
to study the impact of mobility and social relationships on each other. Traditional …
to study the impact of mobility and social relationships on each other. Traditional …
Improvising personalized travel recommendation system with recency effects
P Nitu, J Coelho, P Madiraju - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
A travel recommendation system based on social media activity provides a customized
place of interest to accommodate user-specific needs and preferences. In general, the user's …
place of interest to accommodate user-specific needs and preferences. In general, the user's …