Exposing Query Identification for Search Transparency-Reference-Cited by-同舟云学术

Exposing Query Identification for Search Transparency

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Li Ruohan¹,Li Jianxiang¹,Mitra Bhaskar²,Diaz Fernando³,Biega Asia J.⁴

Affiliation:

1. Microsoft, USA and Carnegie Mellon University, USA

2. Microsoft, Canada and University College London, United Kingdom

3. Mila Quebec Artificial Intelligence Institute, Canada

4. Max Planck Institute for Security and Privacy, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512262

Reference48 articles.

1. Retrievability

2. Payal Bajaj , Daniel Campos , Nick Craswell , Li Deng , Jianfeng Gao , Xiaodong Liu , Rangan Majumder , Andrew McNamara , Bhaskar Mitra , Tri Nguyen , 2016 . MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. arXiv preprint arXiv:1611.09268(2016). Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, 2016. MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. arXiv preprint arXiv:1611.09268(2016).

3. Five Years of the Right to be Forgotten

4. Learning to Un-Rank

5. R-Susceptibility

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