most citedMI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation

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cs.IR2026★ 1 cited

MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation

Wenzhuo Cheng, Ke Ding, Xin Dong +3

Conversion rate (CVR) prediction models play a vital role in recommendation and advertising systems. Recent research on multi-scenario recommendation shows that learning a unified…

cs.IR2026

Trie-Aware Transformers for Generative Recommendation

Zhenxiang Xu, Jiawei Chen, Sirui Chen +5

Generative recommendation (GR) aligns with advances in generative AI by casting next-item prediction as token-level generation rather than score-based ranking. Most GR methods adop…