3 papers
cs.IR2026
Counterfactual Multi-task Learning for Delayed Conversion Modeling in E-commerce Sales Pre-Promotion
Xin Song, Kaiyuan Li, Jinxin Hu
Sales promotions, as short-term incentives to stimulate product purchases, play a pivotal role in modern e-commerce marketing strategies. During promotional events, user behavior p…
cs.IR2026
LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation
Lingyu Mu, Hao Deng, Haibo Xing +7
Recent progress in large language model (LLM) based generative recommendation (GR) shows that leveraging LLM world knowledge can substantially improve performance. However, existin…
cs.IR2026
RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
Yulei Huang, Hao Deng, Haibo Xing +5
Conversion objectives in large-scale recommender systems are sparse, making them difficult to optimize. Generative recommendation (GR) partially alleviates data sparsity by organiz…