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- surveyJune 2024
A Review of Explainable Fashion Compatibility Modeling Methods
ACM Computing Surveys (CSUR), Volume 56, Issue 11Article No.: 274, Pages 1–29https://doi.org/10.1145/3664614The paper reviews methods used in the fashion compatibility recommendation domain. We select methods based on reproducibility, explainability, and novelty aspects and then organize them chronologically and thematically. We presented general ...
- surveyNovember 2023
Computational Technologies for Fashion Recommendation: A Survey
ACM Computing Surveys (CSUR), Volume 56, Issue 5Article No.: 121, Pages 1–45https://doi.org/10.1145/3627100Fashion 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. Due to the great demand for applications, ...
- Work in ProgressApril 2023
A Study on User Perception and Experience Differences in Recommendation Results by Domain Expertise: The Case of Fashion Domains
CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing SystemsApril 2023, Article No.: 14, Pages 1–7https://doi.org/10.1145/3544549.3585641To improve user satisfaction to the recommender systems (RS), it is essential to identify how users would perceive the system and what recommendation results they would prefer. Domain experts also use RS that relate to their work and decision-making, ...
- research-articleApril 2023
Image-Based Fashion Recommendation with Attention to Users' Interests
VSIP '22: Proceedings of the 2022 4th International Conference on Video, Signal and Image ProcessingNovember 2022, Pages 81–86https://doi.org/10.1145/3577164.3577177Building an effective fashion recommendation system is challenging due to the high level of subjectivity and the semantic complexity of the features involved. Users’ decision depends largely on their interest and the appearance of the product. Such ...
- research-articleApril 2023
Diagnosing fashion outfit compatibility with deep learning techniques
Expert Systems with Applications: An International Journal (EXWA), Volume 215, Issue CApr 2023https://doi.org/10.1016/j.eswa.2022.119305Highlights- We propose an end-to-end framework for outfit compatibility diagnosing is developed based on image captioning. It provides feedback for improving outfit ...
Fashion image understanding is a popular research field with many different machine learning applications. There have been many studies regarding outfit prediction and outfit composition in the field of fashion. However, there are few ...
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- research-articleOctober 2022
Neural stylist: Towards online styling service
Expert Systems with Applications: An International Journal (EXWA), Volume 203, Issue COct 2022https://doi.org/10.1016/j.eswa.2022.117333AbstractOnline stylist service enjoys huge economic potentials due to the trend of transformation of the fashion industry to digitalisation. Existing works either predict the fashion compatibility from the overall aspect or evaluate the ...
Highlights- We evaluate outfit’s compatibility more generally with a unified framework.
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- ArticleDecember 2021
Outfit Recommendation using Graph Neural Networks via Visual Similarity
Analysis of Images, Social Networks and TextsDec 2021, Pages 208–222https://doi.org/10.1007/978-3-031-16500-9_18AbstractComputer vision plays an important role in the development of the fashion industry. There has been a lot of research done on various fashion recommendations, and determining the compatibility of clothing is a key factor in most of them. Solving ...
- rapid-communicationJuly 2021
Outfit compatibility prediction with multi-layered feature fusion network
Pattern Recognition Letters (PTRL), Volume 147, Issue CJul 2021, Pages 150–156https://doi.org/10.1016/j.patrec.2021.04.009Highlights- Proposing a multi-layer non-local feature fusion network to extract visual features.
Clothing plays a critical role in people’s daily lives, a perfect styling clothing is able to help people to avoid weaknesses and show their personal temperament, however, not everyone is good at styling. Compatibility is the core of ...
- ArticleJanuary 2021
Deep Neural Network Incorporating CNN and MF for Item-Based Fashion Recommendation
Knowledge Management and Acquisition for Intelligent SystemsJan 2021, Pages 46–57https://doi.org/10.1007/978-3-030-69886-7_4AbstractIn fashion electronic commerce services, two item-based recommendation approaches, image similarity-based and click likelihood-based, are used to improve the revenue of a website. To improve accuracy, in this paper, we propose a hybrid model, a ...
- ArticleMay 2020
Fashion Recommendation with Multi-relational Representation Learning
Advances in Knowledge Discovery and Data MiningMay 2020, Pages 3–15https://doi.org/10.1007/978-3-030-47426-3_1AbstractDriven by increasing demands of assisting users to dress and match clothing properly, fashion recommendation has attracted wide attention. Its core idea is to model the compatibility among fashion items by jointly projecting embedding into a ...
- ArticleJuly 2019
Multi-label Image Set Recognition in Visually-Aware Recommender Systems
Analysis of Images, Social Networks and TextsJul 2019, Pages 291–297https://doi.org/10.1007/978-3-030-37334-4_26AbstractIn this paper we focus on the problem of multi-label image recognition for visually-aware recommender systems. We propose a two stage approach in which a deep convolutional neural network is firstly fine-tuned on a part of the training set. ...
- research-articleMay 2019
Improving Outfit Recommendation with Co-supervision of Fashion Generation
WWW '19: The World Wide Web ConferenceMay 2019, Pages 1095–1105https://doi.org/10.1145/3308558.3313614The task of fashion recommendation includes two main challenges: visual understanding and visual matching. Visual understanding aims to extract effective visual features. Visual matching aims to model a human notion of compatibility to compute a match ...
- tutorialJanuary 2019
Personalised Fashion Recommendation using Deep Learning
CODS-COMAD '19: Proceedings of the ACM India Joint International Conference on Data Science and Management of DataJanuary 2019, Page 368https://doi.org/10.1145/3297001.3297066Clothing we wear reveals our personal style - wealth, occupation, religion, location and socio-identity. Shopper's aesthetic preferences thus influence purchasing decision in a lifestyle marketplace. Given the image of a fashion item, recommending ...