Sales Price Prediction of Used Clothes Considering the Market Price of Flea Market Application

Yuichi Katai, Takashi Hasuike

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study is about sales price prediction of used clothes in EC site. Since used clothes differ in size, color, etc. depending on each product, its sales price changes greatly depending on the needs of customers. The market price of the flea market is related to sales price in EC site, and a sales price prediction model is constructed. As a result, it is found that the market price in flea market application contributes to the improvement of the accuracy of the sales price prediction, and it is possible confirm the change of the influence of the market price on the sales price prediction by the distribution volume in flea market application.

Original languageEnglish
Title of host publicationProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages750-755
Number of pages6
ISBN (Electronic)9781728126272
DOIs
Publication statusPublished - 2019 Jul
Event8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 - Toyama, Japan
Duration: 2019 Jul 72019 Jul 11

Publication series

NameProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019

Conference

Conference8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
Country/TerritoryJapan
CityToyama
Period19/7/719/7/11

Keywords

  • flea market application
  • machine learning
  • market price
  • sales price
  • web scraping

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Social Sciences (miscellaneous)

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