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Algorithmic Recourse based on User's Feature-order Preference
M. Singh, S.S. Kancheti, S. Gupta, , S. Jain, C.N. Krishnan
Published in Association for Computing Machinery
2023
Pages: 293 - 294
Abstract
The state-of-the-art recourse generation methods solely rely on the user's profile (feature vector). However, two users having the same profile may still have different preferences. Consequently, the recourse generated from a single profile may not have the same appeal to both the users. For example, one rejected loan applicant may prefer changes in Savings Amount, whereas, another - being a financial expert - may prefer changes in Investment Amount. Taking into account these preferences in feature-change can be very helpful in generating more user-satisfying recourses. To this end, we propose a simple user-preference representation and design a method to generate a recourse that adheres to the user preference. We empirically demonstrate the effectiveness and ease of the proposed method at generating recourses satisfying user preferences. © 2023 Owner/Author.
About the journal
JournalACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery