Singh, Manan and Kancheti, Sai Srinivas and Gupta, Shivam and Ghalme, Ganesh and Jain, Shweta and C. Krishnan, Narayanan
(2023)
Algorithmic Recourse based on User’s Feature-order Preference.
In: Conference on Data Science and Management of Data, CODS-COMAD 2023, 4-7, January 2023, Mumbai.
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.
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