most citedMetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios

11 citations · 11 across the 3 of their papers we have counts for

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cs.IR2023

FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation

Ming Li, Naiyin Liu, Xiaofeng Pan +5

Since clicks usually contain heavy noise, increasing research efforts have been devoted to modeling implicit negative user behaviors (i.e., non-clicks). However, they either rely o…