Search Results for author: Hongjian Dou

Found 2 papers, 1 papers with code

FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning

no code implementations15 May 2023 Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng

We introduce FedAds, the first benchmark for CVR estimation with vFL, to facilitate standardized and systematical evaluations for vFL algorithms.

Privacy Preserving Vertical Federated Learning

KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems

1 code implementation30 Jul 2018 Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen

Based on our linked dataset, we first preform some interesting qualitative analysis experiments, in which we discuss the effect of two important factors (i. e. popularity and recency) on whether a RS item can be linked to a KB entity.

Knowledge-Aware Recommendation

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