most citedRESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction

11 citations · 11 across the 1 of their papers we have counts for

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cs.IR2022★ 11 cited

RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction

Yanyan Shen, Lifan Zhao, Weiyu Cheng +3

Click-Through Rate (CTR) prediction on cold users is a challenging task in recommender systems. Recent researches have resorted to meta-learning to tackle the cold-user challenge,…