Learning Reasons for Product Returns on E-Commerce

Miriam Farber, Slava Novgorodov, Ido Guy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the rapidly evolving landscape of e-commerce, product returns have become a significant economic burden for businesses, where the reasons for returns may vary from wrong sizing and defective products to simply no longer needing the purchased product. This paper presents, to the best of our knowledge, the first comprehensive study of the complexities of product returns across a variety of e-commerce domains, focusing on the task of predicting the return reason. We propose a supervised approach for predicting return likelihood and the underlying return reason. We test our approach over a real-world dataset from a large e-commerce platform.

Original languageEnglish
Title of host publication7th Workshop on e-Commerce and NLP, ECNLP 2024 at LREC-COLING 2024 - Workshop Proceedings
EditorsShervin Malmasi, Besnik Fetahu, Nicola Ueffing, Oleg Rokhlenko, Eugene Agichtein, Ido Guy
PublisherEuropean Language Resources Association (ELRA)
Pages1-7
Number of pages7
ISBN (Electronic)9782493814425
StatePublished - 1 Jan 2024
Externally publishedYes
Event7th Workshop on e-Commerce and NLP, ECNLP 2024 - Torino, Italy
Duration: 21 May 2024 → …

Publication series

Name7th Workshop on e-Commerce and NLP, ECNLP 2024 at LREC-COLING 2024 - Workshop Proceedings

Conference

Conference7th Workshop on e-Commerce and NLP, ECNLP 2024
Country/TerritoryItaly
CityTorino
Period21/05/24 → …

Keywords

  • e-commerce
  • product return
  • return reason prediction

ASJC Scopus subject areas

  • Language and Linguistics
  • Education
  • Library and Information Sciences
  • Linguistics and Language

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