Recommendations with minimum exposure guarantees: A post-processing framework

Recommendations with minimum exposure guarantees: A post-processing framework

Relevance-based ranking is a popular ingredient in recommenders, but it frequently struggles to meet fairness criteria because social and cultural norms may favor some item groups over others. For instance, some items might receive lower ratings due to some sort of bias (e.g. gender bias). A fair ra...

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Bibliographic Details
Main Authors: LOPES, Ramon, ALVES, Rodrigo, LEDENT, Antoine, SANTOS, Rodrygo L. T., KLOFT, Marius
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Exposure
Fairness
Integer linear programming
Recommender systems
Databases and Information Systems
Numerical Analysis and Scientific Computing
Theory and Algorithms
Online Access:https://ink.library.smu.edu.sg/sis_research/8182
https://ink.library.smu.edu.sg/context/sis_research/article/9185/viewcontent/Recom_min_exposure_guarantees_sv.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/8182
https://ink.library.smu.edu.sg/context/sis_research/article/9185/viewcontent/Recom_min_exposure_guarantees_sv.pdf

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