Multi-Target Cross Domain Recommendation(CDR) has attracted a surge of
i...
Differential framing of issues can lead to divergent world views on impo...
Multi-task learning (MTL) has been successfully implemented in many
real...
In recent years, semi-supervised graph learning with data augmentation (...
Risk prediction, as a typical time series modeling problem, is usually
a...
In this paper, we present a new cross-architecture contrastive learning
...
Sequential recommendation (SR) learns users' preferences by capturing th...
Video summarization intends to produce a concise video summary by effect...
According to the World Health Organization (WHO), one in four people wil...
Session-based recommendation (SBR) learns users' preferences by capturin...
The prevalence of state-sponsored propaganda on the Internet has become ...