Search Results for author: Congzhe Su

Found 2 papers, 0 papers with code

Fairness-aware Differentially Private Collaborative Filtering

no code implementations16 Mar 2023 Zhenhuan Yang, Yingqiang Ge, Congzhe Su, Dingxian Wang, Xiaoting Zhao, Yiming Ying

Recently, there has been an increasing adoption of differential privacy guided algorithms for privacy-preserving machine learning tasks.

Collaborative Filtering Fairness +1

Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces

no code implementations15 May 2019 Andrew Stanton, Akhila Ananthram, Congzhe Su, Liangjie Hong

In this paper, we address how a company-aligned search experience can be provided with competing business metrics that E-commerce companies typically tackle.

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