Ruoming Jin

On Sampling Top-K Recommendation Evaluation

2020

Recently, Rendle has warned that the use of sampling-based top-k metrics might not suffice. This throws a number of recent studies on deep learning-based recommendation algorithms, and classic non-deep-learning algorithms using such a metric, into …

Federated Fingerprint Learning with Heterogeneous Architectures

2022 · 2022 IEEE International Conference on Data Mining (ICDM)

Recent studies on federated learning (FL) have sought to solve the system heterogeneity issue by designing customized local models for different clients. However, public dataset introduction, sensitive information exchange, non-trivial computational cost, or particular architecture …