Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation

1 code implementation • COLING 2022 • Qijiong Liu, Jieming Zhu, Quanyu Dai, Xiaoming Wu

We validate the effectiveness of PREC through both offline evaluation on public datasets and online A/B testing in an industrial application.

Click-Through Rate Prediction News Recommendation

FedSiam-DA: Dual-aggregated Federated Learning via Siamese Network under Non-IID Data

no code implementations • 17 Nov 2022 • Ming Yang, Yanhan Wang, Xin Wang, Zhenyong Zhang, Xiaoming Wu, Peng Cheng

Federated learning is a distributed learning that allows each client to keep the original data locally and only upload the parameters of the local model to the server.

Contrastive Learning Federated Learning

A Framework Based on Generational and Environmental Response Strategies for Dynamic Multi-objective Optimization

no code implementations • 6 Jul 2022 • Qingya Li, Xiangzhi Liu, Fuqiang Wang, Shuai Wang, Peng Zhang, Xiaoming Wu

In this paper, a novel framework based on generational and environmental response strategies (FGERS) is proposed, in which response strategies are run both in the environmental change stage and the environmental static stage to obtain population evolution information of those both stages.