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A survey of recommendation systems: recommendation models, techniques, and application fields
This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …
recommendation systems that are used in various service areas and the business aspects of …
Machine learning algorithms for social media analysis: A survey
Social Media (SM) are the most widespread and rapid data generation applications on the
Internet increase the study of these data. However, the efficient processing of such massive …
Internet increase the study of these data. However, the efficient processing of such massive …
A survey of graph neural network based recommendation in social networks
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 …
Self-supervised multi-channel hypergraph convolutional network for social recommendation
Social relations are often used to improve recommendation quality when user-item
interaction data is sparse in recommender systems. Most existing social recommendation …
interaction data is sparse in recommender systems. Most existing social recommendation …
Graph neural networks for social recommendation
In recent years, Graph Neural Networks (GNNs), which can naturally integrate node
information and topological structure, have been demonstrated to be powerful in learning on …
information and topological structure, have been demonstrated to be powerful in learning on …
A survey of graph neural networks for social recommender systems
Social recommender systems (SocialRS) simultaneously leverage the user-to-item
interactions as well as the user-to-user social relations for the task of generating item …
interactions as well as the user-to-user social relations for the task of generating item …
SocialLGN: Light graph convolution network for social recommendation
Abstract Graph Neural Networks have been applied in recommender systems to learn the
representation of users and items from a user-item graph. In the state-of-the-art, there are …
representation of users and items from a user-item graph. In the state-of-the-art, there are …
Dual graph attention networks for deep latent representation of multifaceted social effects in recommender systems
Social recommendation leverages social information to solve data sparsity and cold-start
problems in traditional collaborative filtering methods. However, most existing models …
problems in traditional collaborative filtering methods. However, most existing models …
A deep graph neural network-based mechanism for social recommendations
Nowadays, the issue of information overload is gradually gaining exposure in the Internet of
Things (IoT), calling for more research on recommender system in advance for industrial IoT …
Things (IoT), calling for more research on recommender system in advance for industrial IoT …
Knowledge-aware coupled graph neural network for social recommendation
Social recommendation task aims to predict users' preferences over items with the
incorporation of social connections among users, so as to alleviate the sparse issue of …
incorporation of social connections among users, so as to alleviate the sparse issue of …