2 papers
cs.IR2024
Towards Personalized Federated Multi-Scenario Multi-Task Recommendation
Yue Ding, Yanbiao Ji, Xun Cai +7
In modern recommender systems, especially in e-commerce, predicting multiple targets such as click-through rate (CTR) and post-view conversion rate (CTCVR) is common. Multi-task re…
cs.IR2024
Pareto-based Multi-Objective Recommender System with Forgetting Curve
Jipeng Jin, Zhaoxiang Zhang, Zhiheng Li +4
Recommender systems with cascading architecture play an increasingly significant role in online recommendation platforms, where the approach to dealing with negative feedback is a…