Heterogeneous Graph Learning for Personalized OCM

Weili Guan, Xuemeng Song, Xiaojun Chang, Liqiang Nie

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


One common limitation of our previous works presented in Chaps. 2, 3, 4, and 5 is that they all evaluate the outfit compatibility from the general standard. In fact, there may be some subjective factors influencing the outfit compatibility evaluation, namely, for the same garment, different users may have different evaluations. In other words, different people usually have different preferences to make their personal ideal outfits, which may be caused by their diverse growing circumstances or educational backgrounds.

Original languageEnglish
Title of host publicationGraph Learning for Fashion Compatibility Modeling
EditorsWeili Guan, Xuemeng Song, Xiaojun Chang, Liqiang Nie
Place of PublicationCham Switzerland
Number of pages20
ISBN (Electronic)9783031188176
ISBN (Print)9783031188169
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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