← Search

Ke Fei

2 accepted papers

2026

Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation

AAAI 2026technical

Multi-Domain Multi-Task (MDMT) recommendation aims to provide personalized recommendations by leveraging information across multiple domains and tasks. However, existing methods often suffer from spurious correlations between irrelevant features and the target, leading to negative transfer. To addre

Cited by 0SourcePDFScholar
2025

Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction

AAAI 2025technical

In recommender systems, post-click conversion rate (CVR) estimation is an essential task to model user preferences for items and estimate the value of recommendations. Sample selection bias (SSB) and data sparsity (DS) are two persistent challenges for post-click conversion rate (CVR) estimation. Cu…