Ruoyuan Gao

According to our database, Ruoyuan Gao authored at least 14 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Interleaved Online Testing in Large-Scale Systems.

Nan Bi, Bai Li, Ruoyuan Gao, Graham Edge, Sachin Ahuja

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

How Well do Offline Metrics Predict Online Performance of Product Ranking Models?

Xiaojie Wang, Ruoyuan Gao, Anoop Jain, Graham Edge, Sachin Ahuja

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

FAIR: Fairness-aware information retrieval evaluation.

Ruoyuan Gao, Yingqiang Ge, Chirag Shah

J. Assoc. Inf. Sci. Technol., 2022

2021

Toward a fairer information retrieval system.

Ruoyuan Gao

SIGIR Forum, 2021

Towards Long-term Fairness in Recommendation.

Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang

Proceedings of the WSDM '21, 2021

Addressing Bias and Fairness in Search Systems.

Ruoyuan Gao, Chirag Shah

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features.

Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021

2020

Toward creating a fairer ranking in search engine results.

Ruoyuan Gao, Chirag Shah

Inf. Process. Manag., 2020

University of Washington at TREC 2020 Fairness Ranking Track.

Yunhe Feng, Daniel Saelid, Ke Li, Chirag Shah, Ruoyuan Gao

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Fairness-Aware Explainable Recommendation over Knowledge Graphs.

Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Counteracting Bias and Increasing Fairness in Search and Recommender Systems.

Ruoyuan Gao, Chirag Shah

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Facets of Fairness in Search and Recommendation.

Sahil Verma, Ruoyuan Gao, Chirag Shah

Proceedings of the Bias and Social Aspects in Search and Recommendation, 2020

2019

How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information Retrieval.

Ruoyuan Gao, Chirag Shah

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

2010

Using an integrated feature set to generalize and justify the Chinese-to-English transferring rule of the 'ZHE' aspect.

Yun-hua Qu, Tian-jiong Tao, Serge Sharoff, Narisong Jin, Ruoyuan Gao, Nan Zhang, Yu-Ting Yang, Cheng-zhi Xu

J. Zhejiang Univ. Sci. C, 2010