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 …
GDSRec: Graph-based decentralized collaborative filtering for social recommendation
Generating recommendations based on user-item interactions and user-user social relations
is a common use case in web-based systems. These connections can be naturally …
is a common use case in web-based systems. These connections can be naturally …
Social recommendation via deep neural network-based multi-task learning
Recent years are witnessing the rapid development of social recommendation to improve
the performance of recommender system, especially for cold start problem. Many of the …
the performance of recommender system, especially for cold start problem. Many of the …
HeteroGraphRec: A heterogeneous graph-based neural networks for social recommendations
Recommender systems in social networks are widely used for connecting users to their
desired items from a vast catalog of available items. Learning the user's preferences from all …
desired items from a vast catalog of available items. Learning the user's preferences from all …
Enhancing social recommendation with adversarial graph convolutional networks
Social recommender systems are expected to improve recommendation quality by
incorporating social information when there is little user-item interaction data. However …
incorporating social information when there is little user-item interaction data. However …
Dual side deep context-aware modulation for social recommendation
Social recommendation is effective in improving the recommendation performance by
leveraging social relations from online social networking platforms. Social relations among …
leveraging social relations from online social networking platforms. Social relations among …
Enhancing social recommendation via two-level graph attentional networks
As an effective deep representation learning technique for graph data, graph convolutional
network (GCN) has recently been widely applied to obtain better embedding of vertex. The …
network (GCN) has recently been widely applied to obtain better embedding of vertex. The …
Deep social collaborative filtering
Recommender systems are crucial to alleviate the information overload problem in online
worlds. Most of the modern recommender systems capture users' preference towards items …
worlds. Most of the modern recommender systems capture users' preference towards items …
Collaborative neural social recommendation
Collaborative filtering (CF) is one of the most popular techniques for building recommender
systems. To overcome the data sparsity in CF, social recommender systems have emerged …
systems. To overcome the data sparsity in CF, social recommender systems have emerged …
Deep adversarial social recommendation
Recent years have witnessed rapid developments on social recommendation techniques for
improving the performance of recommender systems due to the growing influence of social …
improving the performance of recommender systems due to the growing influence of social …