Lot or Not: Identifying Multi-Quantity Offerings in E-Commerce

Gal Lavee, Ido Guy

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

Abstract

The term lot in e-commerce is defined to mean an offering that contains a collection of multiple identical items for sale. In a large online marketplace, lot offerings play an important role, allowing buyers and sellers to set price levels to optimally balance supply and demand needs. In spite of their central role, e-commerce platforms often struggle to identify lot offerings, since explicit lot status identification is frequently not provided by sellers. The ability to identify lot offerings plays a key role in many fundamental e-commerce tasks, from matching offerings to catalog products, through ranking e-commerce search results, to providing effective pricing guidance. In this work, we seek to determine the lot status (and lot size) of each offering, in order to facilitate an improved buyer experience, while reducing the friction for sellers posting new offerings. We demonstrate experimentally the ability to accurately classify offerings as lots and predict their lot size using only the offer title, by adapting state-of-the-art natural language techniques to the lot identification problem.

Original languageEnglish
Title of host publicationECNLP 2022 - 5th Workshop on e-Commerce and NLP, Proceedings of the Workshop
EditorsShervin Malmasi, Oleg Rokhlenko, Nicola Ueffing, Ido Guy, Eugene Agichtein, Surya Kallumadi
PublisherAssociation for Computational Linguistics (ACL)
Pages250-262
Number of pages13
ISBN (Electronic)9781955917353
StatePublished - 1 Jan 2022
Event5th Workshop on e-Commerce and NLP, ECNLP 2022 - Dublin, Ireland
Duration: 26 May 2022 → …

Publication series

NameECNLP 2022 - 5th Workshop on e-Commerce and NLP, Proceedings of the Workshop

Conference

Conference5th Workshop on e-Commerce and NLP, ECNLP 2022
Country/TerritoryIreland
CityDublin
Period26/05/22 → …

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems

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