17 citations · 37 across the 6 of their papers we have counts for
Showing cs.IRShow all
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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,…
cs.IR2020★ 2 cited
Mixed Information Flow for Cross-domain Sequential Recommendations
Muyang Ma, Pengjie Ren, Zhumin Chen +4
Cross-domain sequential recommendation is the task of predict the next item that the user is most likely to interact with based on past sequential behavior from multiple domains. O…