Method for Product Selection Support Based on Reliability of Features in Reviews

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

Abstract

When users selecting products on e-commerce sites, they always use reviews to guide their purchasing decisions. However, if several reviews are posted below one product, it might become difficult for users to select products efficiently. In this study, we propose two methods that use natural language processing technology, such as Word2vec and TF-IDF, to help users judge the reliability of features described in reviews effectively and efficiently. One method uses word embeddings and another method uses sentence embeddings. Finally, we evaluate the results of the two methods and find that the sentence embeddings method seams have a better performance.

Original languageEnglish
Title of host publicationProceedings of the 2021 15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021
EditorsSukhan Lee, Hyunseung Choo, Roslan Ismail
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780738105086
DOIs
Publication statusPublished - Jan 4 2021
Event15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021 - Seoul, Korea, Republic of
Duration: Jan 4 2021Jan 6 2021

Publication series

NameProceedings of the 2021 15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021

Conference

Conference15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021
Country/TerritoryKorea, Republic of
CitySeoul
Period1/4/211/6/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Health Informatics

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