no code implementations • 9 May 2023 • Aparna Balagopalan, Abigail Z. Jacobs, Asia Biega
Online platforms mediate access to opportunity: relevance-based rankings create and constrain options by allocating exposure to job openings and job candidates in hiring platforms, or sellers in a marketplace.
no code implementations • 30 Aug 2022 • Martin Pawelczyk, Tobias Leemann, Asia Biega, Gjergji Kasneci
More specifically, we theoretically and empirically analyze the behavior of popular state-of-the-art algorithms and demonstrate that the recourses generated by these algorithms are likely to be invalidated if a small number of data deletion requests (e. g., 1 or 2) warrant updates of the predictive model.
no code implementations • 11 Aug 2021 • Ömer Kırnap, Fernando Diaz, Asia Biega, Michael Ekstrand, Ben Carterette, Emine Yilmaz
There is increasing attention to evaluating the fairness of search system ranking decisions.
no code implementations • 16 Jul 2021 • Divya Shanmugam, Samira Shabanian, Fernando Diaz, Michèle Finck, Asia Biega
FIDO learns to limit data collection based on an interpretation of data minimization tied to system performance.
no code implementations • 20 Dec 2019 • Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni
The vision of HIPstIR is that early stage information retrieval (IR) researchers get together to develop a future for non-mainstream ideas and research agendas in IR.