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Introduction

  • Weili Guan
  • , Xuemeng Song
  • , Xiaojun Chang
  • , Liqiang Nie

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Otherpeer-review

Abstract

In modern society, clothing plays an increasingly important role in people’s social lives, as a compatible outfit can largely improve one’s appearance. Nevertheless, not all people grow a keen sense of aesthetics, and hence often find it difficult to assemble compatible outfits. Therefore, it is highly desired to develop automatic fashion compatibility modeling methods to help people to evaluate the compatibility of a given outfit, i.e., a set of complementary items.

Original languageEnglish
Title of host publicationGraph Learning for Fashion Compatibility Modeling
EditorsWeili Guan, Xuemeng Song, Xiaojun Chang, Liqiang Nie
Place of PublicationCham Switzerland
PublisherSpringer
Chapter1
Pages1-5
Number of pages5
Edition2nd
ISBN (Electronic)9783031188176
ISBN (Print)9783031188169
DOIs
Publication statusPublished - 2022

Publication series

NameSynthesis Lectures on Information Concepts, Retrieval, and Services
PublisherSpringer Nature
ISSN (Print)1947-945X
ISSN (Electronic)1947-9468

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