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Aesthetic-based Clothing Recommendation

Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin
2018 Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18  
To bridge this gap, we propose to introduce the aesthetic information, which is highly relevant with user preference, into clothing recommender systems.  ...  It plays a vital role in clothing recommendation since a users' decision depends largely on whether the clothing is in line with her aesthetics, however the conventional image features cannot portray this  ...  There are many works recommending clothing or garments with fashion information [21, 38, 40] and there are several datasets for clothing fashion style.  ... 
doi:10.1145/3178876.3186146 dblp:conf/www/YuZHC0Q18 fatcat:lip4fpusrrfufa5xfvmmmr3amq

Visually-aware Recommendation with Aesthetic Features [article]

Wenhui Yu, Xiangnan He, Jian Pei, Xu Chen, Li Xiong, Jinfei Liu, Zheng Qin
2021 arXiv   pre-print
We incorporate these features into recommender system to model users' preferences in the aesthetic aspect. (2) Since in clothing recommendation, time is very important for users to make decision, we design  ...  This work addresses the need of modeling aesthetic information in visually-aware recommender systems.  ...  [18] recommended clothes by considering the clothing fashion style.  ... 
arXiv:1905.02009v2 fatcat:dmp5majtdvgq5dj22ehap35qpi

Fashion Recommendation Systems, Models and Methods: A Review

Samit Chakraborty, Md. Saiful Hoque, Naimur Rahman Jeem, Manik Chandra Biswas, Deepayan Bardhan, Edgar Lobaton
2021 Informatics  
recommendation systems.  ...  The available studies do not provide a rigorous review of fashion recommendation systems and the corresponding filtering techniques.  ...  system and use image detection technology for extracting fashion styles with similar features. • It can recommend design scheme via a searching method using genetic algorithms (GA) and artificial neural  ... 
doi:10.3390/informatics8030049 fatcat:2djpad5hwraqnb6v24pg4b4a5m

Smart Fashion: A Review of AI Applications in the Fashion Apparel Industry [article]

Seyed Omid Mohammadi, Ahmad Kalhor
2021 arXiv   pre-print
Such structured task-based multi-label classification of fashion research articles provides researchers with explicit research directions and facilitates their access to the related studies, improving  ...  The fashion industry is on the verge of an unprecedented change.  ...  Systems Recommender systems suggest fashion items based on similarity, style, color, user preference, and many more different schemes.  ... 
arXiv:2111.00905v2 fatcat:6n6d62lntjfu5pxmjzgi4mpv6i

Learning Context-Aware Outfit Recommendation

Ahed Abugabah, Xiaochun Cheng, Jianfeng Wang
2020 Symmetry  
The key to fashion recommendation is to capture the semantics behind customers' fit feedback as well as fashion visual style.  ...  In this paper, we propose a new method to model user preference jointly with user review information and image region-level features to make more accurate recommendations.  ...  Without a doubt, fashion recommendation systems have become a key component in many online shopping applications, spanning from visual information to style matching recommendation.  ... 
doi:10.3390/sym12060873 fatcat:hmblbya7hzckhgsijyepn4nvra

An Adaptive Recommendation Algorithm of Intelligent Clothing Design Elements Based on Large Database

Xiaoyue Cui, Mian Ahmad Jan
2022 Mobile Information Systems  
From the current situation of the clothing industry, how to combine artificial intelligence (AI) technology with clothing fashion has become the focus of customer's attention.  ...  In this paper, several intelligent clothing matching recommendation systems that have been applied at present are deeply analyzed.  ...  Moreover, recommendation systems along with feature extraction algorithm and cloth matching are briefly discussed. e clothing retrieval, a recommendation system, based on multifeature fusion is proposed  ... 
doi:10.1155/2022/3334047 fatcat:4zgfyvg6lffm5fcpmnfkmfh2wq

Learning Discrete Hashing Towards Efficient Fashion Recommendation

Luyao Liu, Xingzhong Du, Lei Zhu, Fumin Shen, Zi Huang
2018 Data Science and Engineering  
To help common customers overcome selection issues, recent studies in the recommender system area have started to infer the fashion matching results automatically.  ...  The experiments compared with several state-of-theart approaches have evidenced the superior performance of the proposed approach on efficient fashion recommendation.  ...  The system suggests people what not to wear and who is more fashionable. A variety of approaches are proposed to incorporate deep learning into recommender systems [54] .  ... 
doi:10.1007/s41019-018-0079-z fatcat:6i73qjgdovdddnyff3vnsgjbbu

Improvement of e-commerce recommendation systems with deep hybrid collaborative filtering with content: A case study

Filip Wójcik, Michał Górnik
2020 Econometrics  
This paper presents a proposition to utilize flexible neural network architecture called Deep Hybrid Collaborative Filtering with Content (DHCF) as a product recommendation engine.  ...  The system was tested on 2018 Amazon Reviews Dataset, using repeated cross validation and compared with other approaches: collaborative filtering (CF) and deep collaborative filtering (DCF) in terms of  ...  to gain in popularity in the early 1990s (Schafer, Improvement of e-commerce recommendation systems with deep hybrid collaborative...  ... 
doi:10.15611/eada.2020.3.03 fatcat:efkdsujufnbrjbinns7oe4cxt4

DeepStyle: Multimodal Search Engine for Fashion and Interior Design

Ivona Tautkute, Tomasz Trzcinski, Aleksander Skorupa, Lukasz Brocki, Krzysztof Marasek
2019 IEEE Access  
The goal of our engine is to enable intuitive retrieval of fashion merchandise such as clothes or furniture.  ...  Our novel method, dubbed DeepStyle, mitigates those shortcomings by using a joint neural network architecture to model contextual dependencies between features of different modalities.  ...  DEEP LEARNING IN FASHION There has been a significant number of works published in the domain of fashion item retrieval or recommendation due to the potential of their application in highly profitable  ... 
doi:10.1109/access.2019.2923552 fatcat:4qjj4f52rrav5mjuqgyd7ictzm

DeepStyle: Multimodal Search Engine for Fashion and Interior Design [article]

Ivona Tautkute, Tomasz Trzcinski, Aleksander Skorupa, Lukasz Brocki, Krzysztof Marasek
2019 arXiv   pre-print
The goal of our engine is to enable intuitive retrieval of fashion merchandise such as clothes or furniture.  ...  Our novel method, dubbed DeepStyle, mitigates those shortcomings by using a joint neural network architecture to model contextual dependencies between features of different modalities.  ...  DEEP LEARNING IN FASHION There has been a significant number of works published in the domain of fashion item retrieval or recommendation due to the potential of their application in highly profitable  ... 
arXiv:1801.03002v2 fatcat:4wpy3i2s35bn3j7eyabmmqkuvu

Leveraging deep visual features for content-based movie recommender systems

Ralph Jose Rassweiler Filho, Jonatas Wehrmann, Rodrigo C. Barros
2017 2017 International Joint Conference on Neural Networks (IJCNN)  
For that, we propose DeepRecVis, a novel approach that represents items through features extracted from keyframes of the movie trailers, leveraging these features in a content-based recommender system.  ...  The movie domain is one of the most common scenarios to test and evaluate recommender systems.  ...  In this paper, we presented a pure content-based movie recommender system, namely DeepRecVis, and we compared its performance with recommender systems based on low-level visual features, and also with  ... 
doi:10.1109/ijcnn.2017.7965908 dblp:conf/ijcnn/FilhoWB17 fatcat:u27s66pjpnantavdg7svyazrfy

TransNFCM: Translation-Based Neural Fashion Compatibility Modeling

Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua
2019 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
Identifying mix-and-match relationships between fashion items is an urgent task in a fashion e-commerce recommender system. It will significantly enhance user experience and satisfaction.  ...  We also design a deep fashion item encoder which exploits the complementary characteristic of visual and textual features to represent the fashion products.  ...  Both AUC and HR@K are widely-used in recommendation systems.  ... 
doi:10.1609/aaai.v33i01.3301403 fatcat:zh7ke2xwnjfojp7ckocnpg53ce

TransNFCM: Translation-Based Neural Fashion Compatibility Modeling [article]

Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua
2018 arXiv   pre-print
Identifying mix-and-match relationships between fashion items is an urgent task in a fashion e-commerce recommender system. It will significantly enhance user experience and satisfaction.  ...  We also design a deep fashion item encoder which exploits the complementary characteristic of visual and textual features to represent the fashion products.  ...  Both AUC and HR@K are widely-used in recommendation systems.  ... 
arXiv:1812.10021v1 fatcat:yh2tb6cpyzgshejdhffmmzy4ae

2021 Index IEEE Transactions on Multimedia Vol. 23

2021 IEEE transactions on multimedia  
Emami, H., +, TMM 2021 391-401 Toward Multi-Modal Conditioned Fashion Image Translation. Gu, X., +, TMM 2021 2361-2371 Recommender systems Adversarial Learning for Personalized Tag Recommendation.  ...  ., +, TMM 2021 2019-2032 Dress With Style: Learning Style From Joint Deep Embedding of Clothing Styles and Body Shapes.  ... 
doi:10.1109/tmm.2022.3141947 fatcat:lil2nf3vd5ehbfgtslulu7y3lq

Using the Convolution Neural Network Attempts to Match Japanese Women's Kimono and Obi

Kumiko Komizo, Noriaki Kuwahara
2020 International Journal of Advanced Computer Science and Applications  
Because of this, there has been interest in using CNN (Convolution Neural Network) from the digital fashion industry.  ...  In other words, the color, material, meaning behind the pattern must be matched with obi. Kimono patterns may evoke the seasons or a celebratory event. All this must be considered.  ...  There are studies that can recommend an item set instead of one type of item. In order to recommend a set of fashion items, a tensor decomposition approach is utilized [11] .  ... 
doi:10.14569/ijacsa.2020.0110108 fatcat:um2b34j6drg5zdywjaafzqot5e
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