research
∙
08/24/2023
Towards Communication-Efficient Model Updating for On-Device Session-Based Recommendation
On-device recommender systems recently have garnered increasing attentio...
share
research
∙
02/27/2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
Heterogeneous graph neural networks (HGNNs) have exhibited exceptional e...
research
∙
09/27/2022
Efficient On-Device Session-Based Recommendation
On-device session-based recommendation systems have been achieving incre...
research
∙
09/06/2022
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Contrastive learning (CL) has recently been demonstrated critical in imp...
research
∙
04/23/2022
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation
Modern recommender systems operate in a fully server-based fashion. To c...
research
∙
03/29/2022
Self-Supervised Learning for Recommender Systems: A Survey
Neural architecture-based recommender systems have achieved tremendous s...
research
∙
03/08/2022
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation
Self-supervised learning (SSL) recently has achieved outstanding success...
research
∙
02/19/2022
Who Are the Best Adopters? User Selection Model for Free Trial Item Promotion
With the increasingly fierce market competition, offering a free trial h...
research
∙
12/16/2021
Graph Augmentation-Free Contrastive Learning for Recommendation
Contrastive learning (CL) recently has received considerable attention i...
research
∙
09/09/2021
Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
With the prevalence of social media, there has recently been a prolifera...
research
∙
08/24/2021
Self-Supervised Graph Co-Training for Session-based Recommendation
Session-based recommendation targets next-item prediction by exploiting ...
research
∙
07/22/2021
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack
To explore the robustness of recommender systems, researchers have propo...
research
∙
06/07/2021
Socially-Aware Self-Supervised Tri-Training for Recommendation
Self-supervised learning (SSL), which can automatically generate ground-...
research
∙
04/02/2021
Fast-adapting and Privacy-preserving Federated Recommender System
In the mobile Internet era, recommender systems have become an irreplace...
research
∙
01/16/2021
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
Social relations are often used to improve recommendation quality when u...
research
∙
12/12/2020
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
Session-based recommendation (SBR) focuses on next-item prediction at a ...
research
∙
08/10/2020
Path-Based Reasoning over Heterogeneous Networks for Recommendation via Bidirectional Modeling
Heterogeneous Information Network (HIN) is a natural and general represe...
research
∙
04/05/2020
Enhance Social Recommendation with Adversarial Graph Convolutional Networks
Recent reports from industry show that social recommender systems consis...
research
∙
09/08/2019