MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation

Xuemeng Song; Jingjing Chen; Federico Becattini; Weili Guan; Yibing Zhan; Tat Seng Chua

doi:10.1145/3503161.3554765

MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation

Xuemeng Song, Jingjing Chen, Federico Becattini, Weili Guan, Yibing Zhan, Tat Seng Chua

Department of Data Science & AI

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

Abstract

With the proliferation of online shopping, fashion recommendation, which aims to provide suitable suggestions to support the consumer's purchase in e-commerce platforms, has gained increasing research attention from both academia and industry. Although existing efforts have achieved great progress, they focus on the visual modality, lacking the exploration of other modalities of items, e.g., the textual descriptions and attributes of items. Accordingly, this workshop targets calling for a coordinated effort to promote the multimedia computing towards fashion recommendation. This workshop will showcase the innovative methodologies and ideas on new yet challenging research problems, including (not limited to) fashion recommendation, interactive fashion recommendation, interactive garment retrieval, and outfit compatibility modeling.

Original language	English
Title of host publication	Proceedings of the 30th ACM International Conference on Multimedia
Editors	Marco Bertini, Klaus Schoeffmann
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	7416-7417
Number of pages	2
ISBN (Electronic)	9781450392037
DOIs	https://doi.org/10.1145/3503161.3554765
Publication status	Published - 2022
Event	Workshop on Multimedia Computing towards Fashion Recommendation 2022 - Lisboa, Portugal Duration: 14 Oct 2022 → 14 Oct 2022 Conference number: 1st https://dl.acm.org/doi/proceedings/10.1145/3552468 (Proceedings) https://mcfr-mm22.github.io/ (Website)

Publication series

Name	MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia

Workshop

Workshop	Workshop on Multimedia Computing towards Fashion Recommendation 2022
Abbreviated title	MCFR 2022
Country/Territory	Portugal
City	Lisboa
Period	14/10/22 → 14/10/22
Internet address	https://dl.acm.org/doi/proceedings/10.1145/3552468 (Proceedings) https://mcfr-mm22.github.io/ (Website)

Keywords

fashion recommendation
multimedia computing
outfit compatibility modeling

Access to Document

10.1145/3503161.3554765

Cite this

Song, X., Chen, J., Becattini, F., Guan, W., Zhan, Y., & Chua, T. S. (2022). MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation. In M. Bertini, & K. Schoeffmann (Eds.), Proceedings of the 30th ACM International Conference on Multimedia (pp. 7416-7417). (MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia). Association for Computing Machinery (ACM). https://doi.org/10.1145/3503161.3554765

Song, Xuemeng ; Chen, Jingjing ; Becattini, Federico et al. / MCFR'22 : 1st Workshop on Multimedia Computing towards Fashion Recommendation. Proceedings of the 30th ACM International Conference on Multimedia. editor / Marco Bertini ; Klaus Schoeffmann. New York NY USA : Association for Computing Machinery (ACM), 2022. pp. 7416-7417 (MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia).

@inproceedings{802af2f764ba4ae2b50edc4192f5ae42,

title = "MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation",

abstract = "With the proliferation of online shopping, fashion recommendation, which aims to provide suitable suggestions to support the consumer's purchase in e-commerce platforms, has gained increasing research attention from both academia and industry. Although existing efforts have achieved great progress, they focus on the visual modality, lacking the exploration of other modalities of items, e.g., the textual descriptions and attributes of items. Accordingly, this workshop targets calling for a coordinated effort to promote the multimedia computing towards fashion recommendation. This workshop will showcase the innovative methodologies and ideas on new yet challenging research problems, including (not limited to) fashion recommendation, interactive fashion recommendation, interactive garment retrieval, and outfit compatibility modeling.",

keywords = "fashion recommendation, multimedia computing, outfit compatibility modeling",

author = "Xuemeng Song and Jingjing Chen and Federico Becattini and Weili Guan and Yibing Zhan and Chua, \{Tat Seng\}",

note = "Funding Information: This work is supported by the Major Science and Technology Innovation 2030 “New Generation Artificial Intelligence” key project (No. 2021ZD0111700), the National Natural Science Foundation of China, No. 62002090, as well as the European Commission under European Horizon 2020 Programme, grant number 951911 - AI4Media. Publisher Copyright: {\textcopyright} 2022 Owner/Author.; Workshop on Multimedia Computing towards Fashion Recommendation 2022, MCFR 2022 ; Conference date: 14-10-2022 Through 14-10-2022",

year = "2022",

doi = "10.1145/3503161.3554765",

language = "English",

series = "MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia",

publisher = "Association for Computing Machinery (ACM)",

pages = "7416--7417",

editor = "Marco Bertini and Klaus Schoeffmann",

booktitle = "Proceedings of the 30th ACM International Conference on Multimedia",

address = "United States of America",

url = "https://dl.acm.org/doi/proceedings/10.1145/3552468, https://mcfr-mm22.github.io/",

}

Song, X, Chen, J, Becattini, F, Guan, W, Zhan, Y & Chua, TS 2022, MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation. in M Bertini & K Schoeffmann (eds), Proceedings of the 30th ACM International Conference on Multimedia. MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia, Association for Computing Machinery (ACM), New York NY USA, pp. 7416-7417, Workshop on Multimedia Computing towards Fashion Recommendation 2022, Lisboa, Portugal, 14/10/22. https://doi.org/10.1145/3503161.3554765

MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation. / Song, Xuemeng; Chen, Jingjing; Becattini, Federico et al.
Proceedings of the 30th ACM International Conference on Multimedia. ed. / Marco Bertini; Klaus Schoeffmann. New York NY USA: Association for Computing Machinery (ACM), 2022. p. 7416-7417 (MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - MCFR'22

T2 - Workshop on Multimedia Computing towards Fashion Recommendation 2022

AU - Song, Xuemeng

AU - Chen, Jingjing

AU - Becattini, Federico

AU - Guan, Weili

AU - Zhan, Yibing

AU - Chua, Tat Seng

N1 - Conference code: 1st

PY - 2022

Y1 - 2022

N2 - With the proliferation of online shopping, fashion recommendation, which aims to provide suitable suggestions to support the consumer's purchase in e-commerce platforms, has gained increasing research attention from both academia and industry. Although existing efforts have achieved great progress, they focus on the visual modality, lacking the exploration of other modalities of items, e.g., the textual descriptions and attributes of items. Accordingly, this workshop targets calling for a coordinated effort to promote the multimedia computing towards fashion recommendation. This workshop will showcase the innovative methodologies and ideas on new yet challenging research problems, including (not limited to) fashion recommendation, interactive fashion recommendation, interactive garment retrieval, and outfit compatibility modeling.

AB - With the proliferation of online shopping, fashion recommendation, which aims to provide suitable suggestions to support the consumer's purchase in e-commerce platforms, has gained increasing research attention from both academia and industry. Although existing efforts have achieved great progress, they focus on the visual modality, lacking the exploration of other modalities of items, e.g., the textual descriptions and attributes of items. Accordingly, this workshop targets calling for a coordinated effort to promote the multimedia computing towards fashion recommendation. This workshop will showcase the innovative methodologies and ideas on new yet challenging research problems, including (not limited to) fashion recommendation, interactive fashion recommendation, interactive garment retrieval, and outfit compatibility modeling.

KW - fashion recommendation

KW - multimedia computing

KW - outfit compatibility modeling

UR - https://www.scopus.com/pages/publications/85150969028

U2 - 10.1145/3503161.3554765

DO - 10.1145/3503161.3554765

M3 - Conference Paper

AN - SCOPUS:85150969028

T3 - MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia

SP - 7416

EP - 7417

BT - Proceedings of the 30th ACM International Conference on Multimedia

A2 - Bertini, Marco

A2 - Schoeffmann, Klaus

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

Y2 - 14 October 2022 through 14 October 2022

ER -

Song X, Chen J, Becattini F, Guan W, Zhan Y, Chua TS. MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation. In Bertini M, Schoeffmann K, editors, Proceedings of the 30th ACM International Conference on Multimedia. New York NY USA: Association for Computing Machinery (ACM). 2022. p. 7416-7417. (MM 2022 - Proceedings of the 30th ACM International Conference on Multimedia). doi: 10.1145/3503161.3554765

MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation

Abstract

Publication series

Workshop

Keywords

Access to Document

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