research
∙
08/30/2023
A Survey on Multi-Behavior Sequential Recommendation
Recommender systems is set up to address the issue of information overlo...
share
research
∙
07/25/2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework
Graph neural networks (GNNs) have gained wide popularity in recommender ...
research
∙
05/28/2023
DPFormer: Learning Differentially Private Transformer on Long-Tailed Data
The Transformer has emerged as a versatile and effective architecture wi...
research
∙
02/07/2023
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation
Research on debiased recommendation has shown promising results. However...
research
∙
07/06/2022
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data
Tabular data is one of the most common data storage formats in business ...
research
∙
06/21/2022
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application
Recently, the artificial intelligence of things (AIoT) has been gaining ...
research
∙
05/14/2022
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation
The common item-based collaborative filtering framework becomes a typica...
research
∙
04/18/2022
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation
Privacy protection is an essential issue in personalized news recommenda...
research
∙
10/26/2012
