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Ruoyuan Gao
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2020 – today
- 2023
- [c10]Xiaojie Wang
, Ruoyuan Gao
How Well do Offline Metrics Predict Online Performance of Product Ranking Models? SIGIR 2023: 3415-3420 - [c9]Nan Bi
Interleaved Online Testing in Large-Scale Systems. WWW (Companion Volume) 2023: 921-926 - 2022
- [j4]Ruoyuan Gao
FAIR: Fairness-aware information retrieval evaluation. J. Assoc. Inf. Sci. Technol. 73(10): 1461-1473 (2022) - 2021
- [j3]Ruoyuan Gao
Toward a fairer information retrieval system. SIGIR Forum 55(1): 14:1-14:2 (2021) - [c8]Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao
Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features. BIAS 2021: 1-8 - [c7]Ruoyuan Gao
Addressing Bias and Fairness in Search Systems. SIGIR 2021: 2643-2646 - [c6]Yingqiang Ge, Shuchang Liu, Ruoyuan Gao
Towards Long-term Fairness in Recommendation. WSDM 2021: 445-453 - [i5]Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang:
Towards Long-term Fairness in Recommendation. CoRR abs/2101.03584 (2021) - [i4]Ruoyuan Gao, Yingqiang Ge, Chirag Shah:
FAIR: Fairness-Aware Information Retrieval Evaluation. CoRR abs/2106.08527 (2021) - 2020
- [j2]Ruoyuan Gao
Toward creating a fairer ranking in search engine results. Inf. Process. Manag. 57(1) (2020) - [c5]Sahil Verma
Facets of Fairness in Search and Recommendation. BIAS 2020: 1-11 - [c4]Ruoyuan Gao
Counteracting Bias and Increasing Fairness in Search and Recommender Systems. RecSys 2020: 745-747 - [c3]Zuohui Fu, Yikun Xian, Ruoyuan Gao
Fairness-Aware Explainable Recommendation over Knowledge Graphs. SIGIR 2020: 69-78 - [c2]Yunhe Feng, Daniel Saelid, Ke Li, Chirag Shah, Ruoyuan Gao:
University of Washington at TREC 2020 Fairness Ranking Track. TREC 2020 - [i3]Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo:
Fairness-Aware Explainable Recommendation over Knowledge Graphs. CoRR abs/2006.02046 (2020) - [i2]Sahil Verma, Ruoyuan Gao, Chirag Shah:
Facets of Fairness in Search and Recommendation. CoRR abs/2008.01194 (2020) - [i1]Yunhe Feng, Daniel Saelid, Ke Li, Ruoyuan Gao, Chirag Shah:
University of Washington at TREC 2020 Fairness Ranking Track. CoRR abs/2011.02066 (2020)
2010 – 2019
- 2019
- [c1]Ruoyuan Gao
How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information Retrieval. ICTIR 2019: 229-236 - 2010
- [j1]Yun-hua Qu, Tian-jiong Tao, Serge Sharoff, Narisong Jin, Ruoyuan Gao
Using an integrated feature set to generalize and justify the Chinese-to-English transferring rule of the 'ZHE' aspect. J. Zhejiang Univ. Sci. C 11(9): 663-676 (2010)
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