extended-abstract

Second Workshop on Recommender Systems in Fashion – fashionXrecsys2020

Authors:

Shatha Jaradat,

Nima Dokoohaki,

Humberto Jesús Corona Pampín,

Reza ShirvanyAuthors Info & Claims

RecSys '20: Proceedings of the 14th ACM Conference on Recommender Systems

Pages 632 - 634

https://doi.org/10.1145/3383313.3411534

Published: 22 September 2020 Publication History

Abstract

Online Fashion retailers have significantly increased in popularity over the last decade, making it possible for customers to explore hundreds of thousands of products without the need to visit multiple stores or stand in long queues for checkout. Recommender Systems are often used to solve different complex problems in this domain, such as social fashion-aware recommendations (outfits inspired by influencers), product recommendations, or size and fit recommendations. Moreover, the research interest on this area is increasing, demonstrated by the success of the first edition of the fashionXrecsys Workshop in 2019. The second edition of the workshop aims at providing an avenue for continuing the discussion of novel approaches and applications of recommendation systems in fashion and e-commerce.

References

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G. Mohammed Abdulla and Sumit Borar. 2017. Size Recommendation System for Fashion E-Commerce. In KDD Workshop on Machine Learning Meets Fashion. https://kddfashion2017.mybluemix.net/final_submissions/ML4Fashion_paper_8.pdf

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Kurt Bollacker, Natalia Díaz-Rodríguez, and Xian Li. 2019. Extending Knowledge Graphs with Subjective Influence Networks for Personalized Fashion. In Designing Cognitive Cities. Springer, 203–233.

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Brandon Brown. 2018. 19 Micro-Influencer Statistics You Must Know In 2018. https://www.grin.co/blog/19-micro-influencer-statistics-you-must-know-in-2018

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Kallirroi Dogani, Matteo Tomassetti, Saúl Vargas, Benjamin Paul Chamberlain, and Sofie De Cnudde. 2019. Learning Embeddings for Product Size Recommendations. In SIGIR eCom, Paris, France. https://sigir-ecom.github.io/ecom19Papers/paper13.pdf

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Antonino Freno. 2017. Practical Lessons from Developing a Large-Scale Recommender System at Zalando. In Proceedings of the Eleventh ACM Conference on Recommender Systems. ACM, 251–259.

Digital Library

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Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, and Reza Shirvany. 2018. A hierarchical bayesian model for size recommendation in fashion. In Proceedings of the 12th ACM Conference on Recommender Systems. ACM, 392–396.

Digital Library

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Shatha Jaradat, Nima Dokoohaki, Humberto Jesús Corona Pampín, and Reza Shirvany. 2019. Workshop on recommender systems in fashion (fashionXrecsys2019). In Proceedings of the 13th ACM Conference on Recommender Systems. 552–553.

Digital Library

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Nour Karessli, Romain Guigourès, and Reza Shirvany. 2019. SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on FFSS-USAD.

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Nour Karessli, Romain Guigourès, and Reza Shirvany. 2020. Learning Size and Fit from Fashion Images. In Springer’s Special Issue on Fashion Recommender Systems.

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Sajan Kedia, Manchit Madan, and Sumit Borar. 2019. Early Bird Catches the Worm: Predicting Returns Even Before Purchase in Fashion E-commerce. CoRR abs/1906.12128(2019). arxiv:1906.12128http://arxiv.org/abs/1906.12128

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Julia Lasserre, Abdul-Saboor Sheikh, Evgenii Koriagin, Urs Bergmann, Roland Vollgraf, and Reza Shirvany. 2020. Meta-learning for Size and Fit Recommendation in Fashion. In SIAM International Conference on Data Mining (SDM20).

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Maghan Mcdowell. 2019. Instagram users can now buy influencer looks. Eva Chen explains why. Retrieved July 9, 2019 from https://www.voguebusiness.com/companies/eva-chen-instagram-shopping-purchase-from-creators-feature

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Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, and Urs Bergmann. 2019. A deep learning system for predicting size and fit in fashion e-commerce. In Proceedings of the 13th ACM Conference on Recommender Systems. ACM.

Digital Library

Cited By

Deldjoo YNazary FRamisa AMcAuley JPellegrini GBellogin ANoia T(2023)A Review of Modern Fashion Recommender SystemsACM Computing Surveys10.1145/362473356:4(1-37)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3624733
Lasserre JDokoohaki NShirvany R(2023)Fifth Workshop on Recommender Systems in Fashion and Retail – fashionXrecsys2023Proceedings of the 17th ACM Conference on Recommender Systems10.1145/3604915.3608753(1237-1240)Online publication date: 14-Sep-2023
https://dl.acm.org/doi/10.1145/3604915.3608753
Landia NCheung FNorth DKalloori SSrivastava AFerwerda B(2022)RecSys Challenge 2022: Fashion Purchase PredictionProceedings of the 16th ACM Conference on Recommender Systems10.1145/3523227.3552534(694-697)Online publication date: 12-Sep-2022
https://dl.acm.org/doi/10.1145/3523227.3552534
Show More Cited By

Second Workshop on Recommender Systems in Fashion – fashionXrecsys2020
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals

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cover image ACM Conferences

RecSys '20: Proceedings of the 14th ACM Conference on Recommender Systems

September 2020

796 pages

ISBN:9781450375832

DOI:10.1145/3383313

Copyright © 2020 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 September 2020

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Extended-abstract
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Refereed limited

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RecSys '20

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RecSys '20: Fourteenth ACM Conference on Recommender Systems

September 22 - 26, 2020

Virtual Event, Brazil

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Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Cited By

Deldjoo YNazary FRamisa AMcAuley JPellegrini GBellogin ANoia T(2023)A Review of Modern Fashion Recommender SystemsACM Computing Surveys10.1145/362473356:4(1-37)Online publication date: 21-Oct-2023
https://dl.acm.org/doi/10.1145/3624733
Lasserre JDokoohaki NShirvany R(2023)Fifth Workshop on Recommender Systems in Fashion and Retail – fashionXrecsys2023Proceedings of the 17th ACM Conference on Recommender Systems10.1145/3604915.3608753(1237-1240)Online publication date: 14-Sep-2023
https://dl.acm.org/doi/10.1145/3604915.3608753
Landia NCheung FNorth DKalloori SSrivastava AFerwerda B(2022)RecSys Challenge 2022: Fashion Purchase PredictionProceedings of the 16th ACM Conference on Recommender Systems10.1145/3523227.3552534(694-697)Online publication date: 12-Sep-2022
https://dl.acm.org/doi/10.1145/3523227.3552534
Shirvany RCorona Pampin H(2022)Fourth Workshop on Recommender Systems in Fashion and Retail – fashionXrecsys2022Proceedings of the 16th ACM Conference on Recommender Systems10.1145/3523227.3547417(680-683)Online publication date: 12-Sep-2022
https://dl.acm.org/doi/10.1145/3523227.3547417
Anelli VBellogín AFerrara AMalitesta DMerra FPomo CDonini FDi Noia T(2021)V-Elliot: Design, Evaluate and Tune Visual Recommender SystemsProceedings of the 15th ACM Conference on Recommender Systems10.1145/3460231.3478881(768-771)Online publication date: 13-Sep-2021
https://dl.acm.org/doi/10.1145/3460231.3478881
Jaradat SDokoohaki NCorona Pampin HShirvany R(2021)Workshop on Recommender Systems in Fashion and RetailProceedings of the 15th ACM Conference on Recommender Systems10.1145/3460231.3470926(810-812)Online publication date: 13-Sep-2021
https://dl.acm.org/doi/10.1145/3460231.3470926

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