Using online big data for determining the importance of product attributes

H. Yakubu, C. K. Kwong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

The proliferation of e-commerce websites in recent times have spurred the number of online reviews on products generated online. This rapid development of ecommerce is usually accompanied by the desire of consumers to search for more information on a product before making any purchase. These two activities undertaken by consumers who tend purchase products online, generates large volumes of data that provides some useful insight for product manufacturers. The data generated from online reviews and consumers online search activity on a product could help product manufacturers to determine the needs and requirements of consumers. Using data mining methods, this study proposes a methodology to estimate the value of the importance of product attributes. These product attributes are the customers' needs and requirements mined from online reviews and consumers' online search data. This study proposes to use Shapley value and Choquet integral to determine the importance of product attributes from online big data.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020
PublisherIEEE Computer Society
Pages691-695
Number of pages5
ISBN (Electronic)9781538672204
DOIs
Publication statusPublished - 14 Dec 2020
Event2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020 - Virtual, Singapore, Singapore
Duration: 14 Dec 202017 Dec 2020

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2020-December
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2020 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2020
Country/TerritorySingapore
CityVirtual, Singapore
Period14/12/2017/12/20

Keywords

  • Choquet integral
  • Fuzzy theory
  • Google trends
  • Online reviews
  • Shapley value

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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