Lifan Zhao

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

2022 · ACM Transactions on Information Systems

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, which either perform few-shot user representation learning or adopt optimization-based …

Mixed Information Flow for Cross-Domain Sequential Recommendations

2022 · ACM Transactions on Knowledge Discovery from Data

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. One of the key challenges in cross-domain …