3 papers
cs.IR2025
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
Wujiang Xu, Qitian Wu, Zujie Liang +5
Sequential Recommendation (SR) task involves predicting the next item a user is likely to interact with, given their past interactions. The SR models examine the sequence of a user…
cs.IR2024
Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach
Wujiang Xu, Xuying Ning, Wenfang Lin +7
Cross-domain sequential recommendation (CDSR) aims to address the data sparsity problems that exist in traditional sequential recommendation (SR) systems. The existing approaches a…
cs.LG2024
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random
Mingming Ha, Xuewen Tao, Wenfang Lin +3
In most practical applications such as recommendation systems, display advertising, and so forth, the collected data often contains missing values and those missing values are gene…