Keywords: Counterfactual Explanations, BERT, e-commerce
Abstract: In this paper, we introduce a novel counterfactual reasoning method using eBERT embeddings to convert customers from an e-commerce company who frequently add items to their cart but don’t proceed to checkout. We demonstrate that our method i) outperforms existing techniques such as DiCE, GANs, and CFRL in key metrics such as coverage, while also maintaining a low latency; ii) balances high coverage and low latency by adjusting the number of nearest unlike neighbors, highlighting a trade-off between these competing goals; and iii) allows customization of mutable features, improving the practical applicability of our counterfactual explanations.
Primary Area: causal reasoning
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Submission Number: 4954
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