A novel Dual-End Adapter for Sequential Recommendation (DEASRec) is presented, which employs lightweight adapters as flexible plugins without modifying backbone architectures to achieve stable performance improvements with low computational cost.
Juntao Hu, Wei Zhou, Huayi Shen et al.· Proceedings of the 32nd ACM...· 0 citations
Industrial recommender systems typically integrate multiple objectives—such as clicks, watch time, likes, and follows—to perform a holistic ranking. However, effectively fusing these diverse tasks to reflect overall user satisfaction remains a formidable challenge. Existing approaches struggle with distributional discr...
Qing Luo, Ge Chen, Huayi Shen et al.· Proceedings of the 32nd ACM...· 0 citations
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