Third Workshop on Recommender Systems in Fashion-fashionXrecsys2021

被引:1
|
作者
Jaradat, Shatha [1 ]
Dokoohaki, Nima [1 ]
Pampin, Humberto Jesus Corona [2 ]
Shirvany, Reza [3 ]
机构
[1] KTH Royal Inst Technol, Stockholm, Sweden
[2] Spotify, Amsterdam, Sweden
[3] Zalando SE, Berlin, Germany
关键词
Recommendations; Fashion; E-Commerce; Social Networks; Deep Learning; Computer Vision;
D O I
10.1145/3460231.3470926
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 and second editions of the fashionXrecsys Workshop in 2019-2020. The third 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.
引用
收藏
页码:810 / 812
页数:3
相关论文
共 50 条
  • [1] Workshop on Recommender Systems in Fashion (fashionXrecsys2019)
    Jaradat, Shatha
    Dokoohaki, Nima
    Pampin, Humberto Jesus Corona
    Shirvany, Reza
    [J]. RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, 2019, : 552 - 553
  • [2] Second Workshop on Recommender Systems in Fashion-fashionXrecsys2020
    Jaradat, Shatha
    Dokoohaki, Nima
    Pampin, Humberto Jesus Corona
    Shirvany, Reza
    [J]. RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, 2020, : 632 - 634
  • [3] Fifth Workshop on Recommender Systems in Fashion and Retail-fashionXrecsys2023
    Lasserre, Julia
    Dokoohaki, Nima
    Shirvany, Reza
    [J]. PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023, 2023, : 1237 - 1240
  • [4] Fourth Workshop on Recommender Systems in Fashion and Retail-fashionXrecsys2022
    Pampin, Humberto Jesus Corona
    Shirvany, Reza
    [J]. PROCEEDINGS OF THE 16TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2022, 2022, : 680 - 683
  • [5] Perspectives on the evaluation of recommender systems workshop 2021
    Zangerle, Eva
    Bauer, Christine
    Said, Alan
    [J]. CEUR Workshop Proceedings, 2021, 2955
  • [6] Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023)
    Said, Alan
    Zangerle, Eva
    Bauer, Christine
    [J]. PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023, 2023, : 1221 - 1222
  • [7] Third International Workshop on Health Recommender Systems (HealthRecSys 2018)
    Elsweiler, David
    Ludwig, Bernd
    Said, Alan
    Schaefer, Hanna
    Torkamaan, Helma
    Trattner, Christoph
    [J]. 12TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS), 2018, : 517 - 518
  • [8] Workshop on Context-Aware Recommender Systems (CARS) 2021
    Adomavicius, Gediminas
    Bauman, Konstantin
    Mobasher, Bamshad
    Ricci, Francesco
    Tuzhilin, Alexander
    Unger, Moshe
    [J]. 15TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS 2021), 2021, : 813 - 814
  • [9] Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)
    Anelli, Vito Walter
    Basile, Pierpaolo
    Di Noia, Tommaso
    Donini, Francesco M.
    Musto, Cataldo
    Narducci, Fedelucio
    Zanker, Markus
    [J]. 15TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS 2021), 2021, : 806 - 809
  • [10] DLRS 2018-Third Workshop on Deep Learning for Recommender Systems
    Hidasi, Balazs
    Karatzoglou, Alexandros
    Sar-Shalom, Oren
    Shapira, Bracha
    Tikk, Domonkos
    Vasile, Flavian
    Dieleman, Sander
    [J]. 12TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS), 2018, : 512 - 513