Heterogeneous Graph Learning for Personalized OCM

Weili Guan; Xuemeng Song; Xiaojun Chang; Liqiang Nie

doi:10.1007/978-3-031-18817-6_6

Heterogeneous Graph Learning for Personalized OCM

Weili Guan, Xuemeng Song, Xiaojun Chang, Liqiang Nie

Department of Data Science & AI

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Other › peer-review

Abstract

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 language	English
Title of host publication	Graph Learning for Fashion Compatibility Modeling
Editors	Weili Guan, Xuemeng Song, Xiaojun Chang, Liqiang Nie
Place of Publication	Cham Switzerland
Publisher	Springer
Chapter	6
Pages	89-108
Number of pages	20
Edition	2nd
ISBN (Electronic)	9783031188176
ISBN (Print)	9783031188169
DOIs	https://doi.org/10.1007/978-3-031-18817-6_6
Publication status	Published - 2022

Publication series

Name	Synthesis Lectures on Information Concepts, Retrieval, and Services
Publisher	Springer Nature
ISSN (Print)	1947-945X
ISSN (Electronic)	1947-9468

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10.1007/978-3-031-18817-6_6

Cite this

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title = "Heterogeneous Graph Learning for Personalized OCM",

abstract = "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.",

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Heterogeneous Graph Learning for Personalized OCM. / Guan, Weili; Song, Xuemeng; Chang, Xiaojun et al.
Graph Learning for Fashion Compatibility Modeling. ed. / Weili Guan; Xuemeng Song; Xiaojun Chang; Liqiang Nie. 2nd. ed. Cham Switzerland: Springer, 2022. p. 89-108 (Synthesis Lectures on Information Concepts, Retrieval, and Services).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Other › peer-review

TY - CHAP

T1 - Heterogeneous Graph Learning for Personalized OCM

AU - Guan, Weili

AU - Song, Xuemeng

AU - Chang, Xiaojun

AU - Nie, Liqiang

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

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U2 - 10.1007/978-3-031-18817-6_6

DO - 10.1007/978-3-031-18817-6_6

M3 - Chapter (Book)

AN - SCOPUS:85141885810

SN - 9783031188169

T3 - Synthesis Lectures on Information Concepts, Retrieval, and Services

SP - 89

EP - 108

BT - Graph Learning for Fashion Compatibility Modeling

A2 - Guan, Weili

A2 - Song, Xuemeng

A2 - Chang, Xiaojun

A2 - Nie, Liqiang

PB - Springer

CY - Cham Switzerland

ER -

Heterogeneous Graph Learning for Personalized OCM

Abstract

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Research output

Graph Learning for Fashion Compatibility Modeling

Cite this