RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction.

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Bibliographic Details
Title: RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction.
Authors: YANYAN SHEN1, shenyy@tencent.com, LIFAN ZHAO1, mogician233@tencent.com, WEIYU CHENG1, weiyu_cheng@sjtu.edu.cn, ZIBIN ZHANG2, bingozhang@tencent.com, WENWEN ZHOU2, wendizhou@tencent.com, LIN KANGYI2, plancklin@tencent.com
Source: ACM Transactions on Information Systems; Jul2023, Vol. 41 Issue 3, p1-26, 26p
Database: Applied Science & Technology Source
Description
ISSN:10468188
DOI:10.1145/3564283