Yanyan Shen

Mcore: Multi-Agent Collaborative Learning for Knowledge-Graph-Enhanced Recommendation

2021

Recently, knowledge-graph-enhanced recommendation systems have attracted much attention, since knowledge graph (KG) can help improving the dataset quality and offering rich semantics for explainable recommendation. However, current KG-enhanced solutions focus on analyzing user behaviors on …

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 …