5 papers
Bridging the Intention-Expression Gap: Aligning Multi-Dimensional Preferences via Hierarchical Relevance Feedback in Text-to-Image Diffusion
Wenxi Wang, Hongbin Liu, Mingqian Li +2
Users often possess a clear visual intent but struggle to articulate it precisely in language. This intention-expression gap makes aligning generated images with latent visual pref…
Effective Knowledge Transfer for Multi-Task Recommendation Models
Guohao Cai, Jun Yuan, Zhenhua Dong
The conversion rate (CVR) is a crucial metric for evaluating the effectiveness of platforms, as it quantifies the alignment of content with audience preferences. However, the limit…
A Novel Mamba-based Sequential Recommendation Method
Jun Yuan
Sequential recommendation (SR), which encodes user activity to predict the next action, has emerged as a widely adopted strategy in developing commercial personalized recommendatio…
A Contextual-Aware Position Encoding for Sequential Recommendation
Jun Yuan, Guohao Cai, Zhenhua Dong
Sequential recommendation (SR), which encodes user activity to predict the next action, has emerged as a widely adopted strategy in developing commercial personalized recommendatio…
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
Jun Yuan, Guohao Cai, Zhenhua Dong
Multi-task ranking models have become essential for modern real-world recommendation systems. While most recommendation researches focus on designing sophisticated models for speci…