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Ziheng Ni · Congcong Liu · Yuying Chen · Zhiwei Fang · Changping Peng · Zhangang Lin · Ching Law · Jingping Shao
Kun Yao · Congcong Liu · Ziheng Ni · Wenlong Chen · Changping Peng · Ching Law
Click-through rate (CTR) prediction is a pivotal component in large-scale industrial systems. Historically, CTR prediction paradigms have been confined to monolithic architectures governed by a single-policy optimization process. However, such isolated learning paths lack the intrinsic evolutiona...
Kun Yao · Congcong Liu · Ziheng Ni · Cai Shang · Wenlong Chen · Changping Peng · Ching Law
Generative Recommendation (GenRec) has emerged as a significant evolutionary direction in the field of recommendation systems in recent years. However, during the reinforcement learning (RL) alignment stage of end-to-end GenRec, a core challenge is that the low signal-to-noise ratio (SNR) of feed...