Fashion Recommendation with Social Intelligence on Personality and Trends

Chin Yu Hsieh, Yung Ming Li

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

Abstract

Today's online shopping is very prosperous, and fashion shopping online has also expanded rapidly. Effective fashion recommendation has become an increasingly important issue. In the past, most of the research focused on personal recommendation, however personality change with the environment in addition to time and space such that this trait never stagnate. Fashion reflects not only a person's character, but also his/her person's current personality influenced by the larger environment. The purpose of this study is to design a recommendation mechanism, which could infer fashion trends derived from social commerce platform and accurately recommend appropriate clothing for the users.

Original languageEnglish
Title of host publicationProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages85-90
Number of pages6
ISBN (Electronic)9781728126272
DOIs
StatePublished - Jul 2019
Event8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 - Toyama, Japan
Duration: 7 Jul 201911 Jul 2019

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
CountryJapan
CityToyama
Period7/07/1911/07/19

Keywords

  • Fashion
  • Recommendation
  • Social Intelligence
  • Trends

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