DivCDSR is proposed, a novel model-agnostic framework designed to enhance diversity in CDSR that introduces a dual-prototype semantic constraint mechanism that mitigates the homogenization trap via intra-domain clustering with orthogonalization and inter-domain separation and devise a dual-guided diffusion module that...
Shu Chen, Yu-Han Zhao, Weixin Chen et al.· Proceedings of the 32nd ACM...· 0 citations
A novel model, i.e., LLM-based semantic and ID representations for sequential recommendation (SIDSRec), that introduces modern LLM architectures into recommender systems and introduces modern LLM architectures into recommender systems.
While Cross-Domain Sequential Recommendation (CDSR) has proven effective in mitigating data sparsity and enhancing accuracy, its impact on recommendation diversity remains largely unexplored. We are the first to reveal a counterintuitive phenomenon: while CDSR improves accuracy, it often comes at the cost of diversity,...
Shu Chen, Yuhan Zhao, Weixin Chen et al.· Proceedings of the 32nd ACM...· 0 citations
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