Peer-reviewed conference paper
Learning Reasons for Product Returns on E-Commerce
Published by Association for Computational Linguistics.
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Claims stay attached to a precise locator.
Return-reason analysis can combine text, product category, price, quantity, size, and transaction attributes.
- Locator
- Section 3, Dataset and characteristics, pages 2–3; Table 1
- Editorial note
- The paper studies predictive modelling on one large platform. Local labels still need human review.
Connected route
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Source handling
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Published under Creative Commons Attribution-NonCommercial 4.0 International.