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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