3 papers
cs.IR2026
Multi-Decoder OneRec: Controllable Generative Retrieval for Multi-Objective Industrial Recommendation
You Wang, Zhao Liu, Guoping Tang +11
The paper introduces Multi-Decoder OneRec, a generative retrieval system that uses shared user-context representations and separate lightweight decoder modules for different recomm…
cs.IR2026
ConAlign: Conditional Alignment Framework for Balancing Biased and Unbiased Recommendation
Jingcheng Zhang, Yihan Wang, Qi Song +1
Industry recommender systems trained on observational data suffer from various biases that create filter bubbles, causing user interests to collapse into narrow categories and seve…
cs.IR2025
LiveForesighter: Generating Future Information for Live-Streaming Recommendations at Kuaishou
Yucheng Lu, Jiangxia Cao, Xu Kuan +6
Live-streaming, as a new-generation media to connect users and authors, has attracted a lot of attention and experienced rapid growth in recent years. Compared with the content-sta…