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Fashion recommendation is a key research field in computational fashion research and has attracted considerable interest in the computer vision, multimedia, and information retrieval communities in recent years.
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Hi, magic closet, tell me what to wear!. In ACM Multimedia . 619–628
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Learning to rank for personalised fashion recommender systems via implicit feedback
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Personalised Size Recommendation for Online Fashion. In International Conference of Mass Customization and Personalisation in Central Europe , Vol. 1. Serbia, 1–6
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Collaborative fashion recommendation: A functional tensor factorization approach. In ACM Multimedia . 129–138
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Recommender system application developments: A survey
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Image-based recommendations on styles and substitutes. In SIGIR . 43–52
Julian McAuley, Christopher Targett, Qinfeng Shi, and Anton Van Den Hengel. 2015 · 2015
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Neuroaesthetics in fashion: Modeling the perception of fashionability. In CVPR . 869–877
Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, and Raquel Urtasun. 2015 · 2015
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Learning visual clothing style with heterogeneous dyadic co-occurrences. In ICCV . 4642–4650
Andreas Veit, Balazs Kovacs, Sean Bell, Julian McAuley, Kavita Bala, and Serge Belongie. 2015 · 2015
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Learning feed-forward one-shot learners. In NeurIPS . 523–531
Luca Bertinetto, João F Henriques, Jack Valmadre, Philip Torr, and Andrea Vedaldi. 2016 · 2016
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Fashion DNA: merging content and sales data for recommendation and article mapping
Christian Bracher, Sebastian Heinz, and Roland Vollgraf. 2016 · 2016
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Apparel recommendation system evolution: an empirical review
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CHARLES MCINTYRE, TC Melewar, and CHARLES DENNIS. 2016 · 2016
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The Elements of Fashion Style. In UIST . 777–785
Kristen Vaccaro, Sunaya Shivakumar, Ziqiao Ding, Karrie Karahalios, and Ranjitha Kumar. 2016 · 2016
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Size recommendation system for fashion e-commerce. In KDD Workshop on Machine Learning Meets Fashion
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Fashion coordinates recommendation based on user behavior and visual clothing style. In ICCIP . 185–189
Sida Gu, Xiaoqiang Liu, Lizhi Cai, and Jie Shen. 2017 · 2017
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Learning fashion compatibility with bidirectional lstms. In ACM Multimedia . 1078–1086
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Translation-based recommendation. In RecSys . 161–169
Ruining He, Wang-Cheng Kang, and Julian McAuley. 2017 · 2017
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Learning the latent" look": Unsupervised discovery of a style-coherent embedding from fashion images. In ICCV . 4203–4212
Wei-Lin Hsiao and Kristen Grauman. 2017 · 2017
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Visually-aware fashion recommendation and design with generative image models. In ICDM . 207–216
Wang-Cheng Kang, Chen Fang, Zhaowen Wang, and Julian McAuley. 2017 · 2017
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Semi-Supervised Classification with Graph Convolutional Networks. In ICLR
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Recommending product sizes to customers. In RecSys . 243–250
Vivek Sembium, Rajeev Rastogi, Atul Saroop, and Srujana Merugu. 2017 · 2017
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Interpretable convolutional neural networks with dual local and global attention for review rating prediction. In RecSys . 297–305
Sungyong Seo, Jing Huang, Hao Yang, and Yan Liu. 2017 · 2017
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Neurostylist: Neural compatibility modeling for clothing matching. In ACM Multimedia . 753–761
Xuemeng Song, Fuli Feng, Jinhuan Liu, Zekun Li, Liqiang Nie, and Jun Ma. 2017 · 2017
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Recommending outfits from personal closet. In ICCV Workshops . 2275–2279
Pongsate Tangseng, Kota Yamaguchi, and Takayuki Okatani. 2017 · 2017
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Item silk road: Recommending items from information domains to social users. In SIGIR . 185–194
Xiang Wang, Xiangnan He, Liqiang Nie, and Tat-Seng Chua. 2017 · 2017
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Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks. In IJCAI . 3119–3125
Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, and Tat-Seng Chua. 2017 · 2017
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Continual learning through synaptic intelligence. In ICML . 3987–3995
Friedemann Zenke, Ben Poole, and Surya Ganguli. 2017 · 2017
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Trip outfits advisor: Location-oriented clothing recommendation
Xishan Zhang, Jia Jia, Ke Gao, Yongdong Zhang, Dongming Zhang, Jintao Li, and Qi Tian. 2017 · 2017
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Deep Style Match for Complementary Recommendation. In AAAI Workshops , Vol. WS-17
Kui Zhao, Xia Hu, Jiajun Bu, and Can Wang. 2017 · 2017
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Big data, knowledge co-creation and decision making in fashion industry
Abhilash Acharya, Sanjay Kumar Singh, Vijay Pereira, and Poonam Singh. 2018 · 2018
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Dress fashionably: Learn fashion collocation with deep mixed-category metric learning. In AAAI
Long Chen and Yuhang He. 2018 · 2018
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Visually explainable recommendation
Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, and Hongyuan Zha. 2018 · 2018
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Interpretable partitioned embedding for customized multi-item fashion outfit composition. In ICMR . 143–151
Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, and Mingli Song. 2018 · 2018
Cited alongside, same era.
Enhancing Apparel Data Based on Fashion Theory for Developing a Novel Apparel Style Recommendation System. In WorldCIST (3) (Advances in Intelligent Systems and Computing, Vol. 747) . 31–40
Congying Guan, Shengfeng Qin, Wessie Ling, and Yang Long. 2018 · 2018
Cited alongside, same era.
A hierarchical bayesian model for size recommendation in fashion. In RecSys . 392–396
Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, and Reza Shirvany. 2018 · 2018
Cited alongside, same era.
What dress fits me best? Fashion recommendation on the clothing style for personal body shape. In ACM Multimedia . 438–446
Shintami Chusnul Hidayati, Cheng-Chun Hsu, Yu-Ting Chang, Kai-Lung Hua, Jianlong Fu, and Wen-Huang Cheng. 2018 · 2018
Cited alongside, same era.
Creating capsule wardrobes from fashion images. In CVPR . 7161–7170
Fashion analysis and understanding with artificial intelligence
Xiaoling Gu, Fei Gao, Min Tan, and Pai Peng. 2020 · 2020
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Lightgcn: Simplifying and powering graph convolution network for recommendation. In SIGIR . 639–648
Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang. 2020 · 2020
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ViBE: Dressing for Diverse Body Shapes. In CVPR . 11059–11069
Wei-Lin Hsiao and Kristen Grauman. 2020 · 2020
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On sampled metrics for item recommendation. In KDD . 1748–1757
Walid Krichene and Steffen Rendle. 2020 · 2020
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A Comparative Study of Outfit Recommendation Methods with a Focus on Attention-based Fusion
Katrien Laenen and Marie-Francine Moens. 2020 · 2020
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MGCM: Multi-modal generative compatibility modeling for clothing matching
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Wei-Lin Hsiao and Kristen Grauman. 2018 · 2018
Cited alongside, same era.
CRAFT: Complementary Recommendation by Adversarial Feature Transform.. In ECCV Workshops . 54–66
Cong Phuoc Huynh, Arridhana Ciptadi, Ambrish Tyagi, Amit Agrawal, L Leal-Taixé, and S Roth. 2018 · 2018
Cited alongside, same era.
Outfit Recommendation with Deep Sequence Learning. In BigMM . 1–5
Yangbangyan Jiang, Qianqian Xu, and Xiaochun Cao. 2018 · 2018
Cited alongside, same era.
Recommendation through mixtures of heterogeneous item relationships. In CIKM . 1143–1152
Wang-Cheng Kang, Mengting Wan, and Julian McAuley. 2018 · 2018
Cited alongside, same era.
Learning without Forgetting
Zhizhong Li and Derek Hoiem. 2018 · 2018
Cited alongside, same era.
Learning discrete hashing towards efficient fashion recommendation
Luyao Liu, Xingzhong Du, Lei Zhu, Fumin Shen, and Zi Huang. 2018 · 2018
Cited alongside, same era.
Decomposing fit semantics for product size recommendation in metric spaces. In RecSys . 422–426
Rishabh Misra, Mengting Wan, and Julian McAuley. 2018 · 2018
Cited alongside, same era.
Outfit generation and style extraction via bidirectional lstm and autoencoder
Takuma Nakamura and Ryosuke Goto. 2018 · 2018
Cited alongside, same era.
Jinhuan Liu, Xuemeng Song, Zhumin Chen, and Jun Ma. 2020a · 2020
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An End-to-End Attention-Based Neural Model for Complementary Clothing Matching
Jinhuan Liu, Xuemeng Song, Liqiang Nie, Tian Gan, and Jun Ma. 2020b · 2020
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Learning diverse fashion collocation by neural graph filtering
Xin Liu, Yongbin Sun, Ziwei Liu, and Dahua Lin. 2020c · 2020
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Omnichannel in the fashion industry: A qualitative analysis from a supply-side perspective
Carlota Lorenzo-Romero, María-Encarnación Andrés-Martínez, and Juan-Antonio Mondéjar-Jiménez. 2020 · 2020
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Omnichannel fashion retailing: examining the customer decision-making journey
Samantha Lynch and Liz Barnes. 2020 · 2020
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Knowledge Enhanced Neural Fashion Trend Forecasting. In ICMR . 82–90
Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, and Tat-Seng Chua. 2020 · 2020
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Fashion Recommendation and Compatibility Prediction Using Relational Network
Maryam Moosaei, Yusan Lin, and Hao Yang. 2020 · 2020
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Tailornet: Predicting clothing in 3d as a function of human pose, shape and garment style. In CVPR . 7365–7375
Chaitanya Patel, Zhouyingcheng Liao, and Gerard Pons-Moll. 2020 · 2020
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PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability. In BigMM . 221–230
Dikshant Sagar, Jatin Garg, Prarthana Kansal, Sejal Bhalla, Rajiv Ratn Shah, and Yi Yu. 2020 · 2020
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Towards a unified framework for visual compatibility prediction. In WACV . 3607–3616
Anirudh Singhal, Ayush Chopra, Kumar Ayush, Utkarsh Patel Govind, and Balaji Krishnamurthy. 2020 · 2020
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Learning fashion compatibility across categories with deep multimodal neural networks
Guang-Lu Sun, Jun-Yan He, Xiao Wu, Bo Zhao, and Qiang Peng. 2020 · 2020
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Toward explainable fashion recommendation. In WACV . 2153–2162
Pongsate Tangseng and Takayuki Okatani. 2020 · 2020
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Sizer: A dataset and model for parsing 3d clothing and learning size sensitive 3d clothing. In ECCV . 1–18
Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, and Gerard Pons-Moll. 2020 · 2020
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A Bibliometric Survey of Fashion Analysis using Artificial Intelligence
Seema Wazarkar, Shruti Patil, and Satish Kumar V C. 2020 · 2020
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Visual and textual jointly enhanced interpretable fashion recommendation
Qianqian Wu, Pengpeng Zhao, and Zhiming Cui. 2020b · 2020
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Graph neural networks in recommender systems: a survey
Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, and Bin Cui. 2020a · 2020
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Learning Post-Hoc Causal Explanations for Recommendation
Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Xu Chen, and Yongfeng Zhang. 2020 · 2020
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Parameter-efficient transfer from sequential behaviors for user modeling and recommendation. In SIGIR . 1469–1478
Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, and Liguang Zhang. 2020 · 2020
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Deep learning based clothing matching: a survey
Cuijiao Zhang. 2020 · 2020
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Regularizing Reasons for Outfit Evaluation with Gradient Penalty
Xingxing Zou, Zhizhong Li, Ke Bai, Dahua Lin, and Waikeung Wong. 2020 · 2020
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Fashion recommendation systems, models and methods: A review. In Informatics , Vol. 8. 49
Samit Chakraborty, Md Saiful Hoque, Naimur Rahman Jeem, Manik Chandra Biswas, Deepayan Bardhan, and Edgar Lobaton. 2021 · 2021
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Fashion Meets Computer Vision: A Survey
Wen-Huang Cheng, Sijie Song, Chieh-Yun Chen, Shintami Chusnul Hidayati, and Jiaying Liu. 2021 · 2021
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Understanding professional fashion stylists’ outfit recommendation process: A qualitative study
Bolanle O Dahunsi and Lucy E Dunne. 2021 · 2021
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Modeling Instant User Intent and Content-level Transition for Sequential Fashion Recommendation
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Body Shape Calculator: Understanding the Type of Body Shapes from Anthropometric Measurements. In ICMR . 461–465
Shintami Chusnul Hidayati and Yeni Anistyasari. 2021 · 2021
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Dress With Style: Learning Style From Joint Deep Embedding of Clothing Styles and Body Shapes
Shintami Chusnul Hidayati, Ting Wei Goh, Ji-Sheng Gary Chan, Cheng-Chun Hsu, John See, Lai-Kuan Wong, Kai-Lung Hua, Yu Tsao, and Wen-Huang Cheng. 2021 · 2021
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Self-supervised Visual Attribute Learning for Fashion Compatibility. In ICCV Workshops . 1057–1066
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Personalized Outfit Recommendation With Learnable Anchors. In CVPR . 12722–12731
Zhi Lu, Yang Hu, Yan Chen, and Bing Zeng. 2021 · 2021
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Smart fashion: a review of AI applications in the Fashion & Apparel Industry
Seyed Omid Mohammadi and Ahmad Kalhor. 2021 · 2021
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A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges
Juan Luis Suárez, Salvador García, and Francisco Herrera. 2021 · 2021
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Attribute-wise Explainable Fashion Compatibility Modeling
Xin Yang, Xuemeng Song, Fuli Feng, Haokun Wen, Ling-Yu Duan, and Liqiang Nie. 2021 · 2021
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One person, one model, one world: Learning continual user representation without forgetting. In SIGIR . 696–705
Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon Jose, Beibei Kong, and Yudong Li. 2021 · 2021
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A3-FKG: Attentive Attribute-Aware Fashion Knowledge Graph for Outfit Preference Prediction
Huijing Zhan, Jie Lin, Kenan Emir Ak, Boxin Shi, Ling-Yu Duan, and Alex C Kot. 2021 · 2021
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Survey on the Objectives of Recommender System: Measures, Solutions, Evaluation Methodology, and New Perspectives
Bushra Alhijawi, Arafat Awajan, and Salam Fraihat. 2022 · 2022
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Entity Slot Filling for Visual Captioning
Yi Bin, Yujuan Ding, Bo Peng, Liang Peng, Yang Yang, and Tat-Seng Chua. 2022 · 2022
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Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media
Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, and Tat-Seng Chua. 2022a · 2022
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A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and Philip S. Yu. 2022 · 2022
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OutfitTransformer: Outfit Representations for Fashion Recommendation. In CVPR Workshops . 2262–2266
Rohan Sarkar, Navaneeth Bodla, Mariya I. Vasileva, Yen-Liang Lin, Anurag Beniwal, Alan Lu, and Gerard Medioni. 2022 · 2022
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Dynamic Causal Collaborative Filtering. In CIKM . 2301–2310
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Evaluating Recommender Systems: Survey and Framework
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Asynchronous generative adversarial network for asymmetric unpaired image-to-image translation
Ziqiang Zheng, Yi Bin, Xiaoou Lu, Yang Wu, Yang Yang, and Heng Tao Shen. 2022 · 2022
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Personalized fashion outfit generation with user coordination preference learning
Yujuan Ding, P.Y. Mok, Yunshan Ma, and Yi Bin. 2023 · 2023
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Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility. In ICMR . ACM, 560–564
Shuiying Liao, Yujuan Ding, and P. Y. Mok. 2023 · 2023
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Modality-Oriented Graph Learning Toward Outfit Compatibility Modeling
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Multi-Modal Transformer with Global-Local Alignment for Composed Query Image Retrieval
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Socially-interactive dressing room: an iterative evaluation on interface design
Jasy Suet Yan Liew, Elizabeth Kaziunas, JianZhao Liu, and Shen Zhuo. 2011 · 2028
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Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems. In KDD . 2060–2069
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Interactive path reasoning on graph for conversational recommendation. In KDD . 2073–2083
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