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arXiv · 2307.08760

Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems

Tung Nguyen·Jeffrey Uhlmann
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Abstract

In this paper we discuss pre- and post-processing methods to induce desired consistency and/or invariance properties in blackbox systems, e.g., AI-based. We demonstrate our approach in the context of blackbox SVD-based matrix-completion methods commonly used in recommender system (RS) applications. We provide empirical results showing that enforcement of unit-consistency and shift-consistency, which have provable RS-relevant properties relating to robustness and fairness, also lead to improved performance according to generic RMSE and MAE performance metrics, irrespective of the initial chosen hyperparameter.

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Tung Nguyen, Jeffrey Uhlmann. 2023-07-17. Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems. https://arxiv.org/abs/2307.08760

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