FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided 
Platforms

Dash, Abhisek; Chakraborty, Abhijnan; Ghosh, Saptarshi; Mukherjee, Animesh; Gummadi, Krishna

doi:10.1109/TCSS.2022.3164655

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FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms

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Gummadi, Krishna
Group K. Gummadi, Max Planck Institute for Software Systems, Max Planck Society;

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Dash, A., Chakraborty, A., Ghosh, S., Mukherjee, A., & Gummadi, K. (2023). FaiRIR: Mitigating Exposure Bias From Related Item Recommendations in Two-Sided Platforms. IEEE Transactions on Computational Social Systems, 10(3), 1301-1313. doi:10.1109/TCSS.2022.3164655.

Cite as: https://hdl.handle.net/21.11116/0000-000A-9720-7

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