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cs.IR2026
Restoring Collaborative Signals in Semantic-ID Generative Recommendation via Personalized Natural Language
Changjiang Han, Qingyang Li, Yaqiang Zang +4
Making LLM-based generative recommendation models stronger and more personalized through natural language and explicit reasoning is a widely anticipated yet still unsolved goal. Su…
cs.IR2026
OxygenREC-v2: Internalizing Discrimination into Generative Recommendation
Guo Tang, Hanye Wu, Changjiang Han +9
Generative recommendation unifies retrieval and ranking within a single model by autoregressively decoding semantic identifier (SID) sequences. Yet reliably incorporating behavior…
cs.LG2026
OCP: Orthogonal Constrained Projection for Sparse Scaling in Industrial Commodity Recommendation
Chen Sun, Beilin Xu, Boheng Tan +6
In industrial commodity recommendation systems, the representation quality of Item-Id vocabularies directly impacts the scalability and generalization ability of recommendation mod…