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Towards Fashion Recommendation: An AI System for Clothing Data Retrieval and Analysis [chapter]

Maria Th. Kotouza, Sotirios–Filippos Tsarouchis, Alexandros-Charalampos Kyprianidis, Antonios C. Chrysopoulos, Pericles A. Mitkas
2020 IFIP Advances in Information and Communication Technology  
product recommendation problem.  ...  The two datasets are clustered separately using different mixed-type clustering algorithms and comparative results are provided, highlighting the usefulness of the clustering procedure in the clothing  ...  This research has been co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation  ... 
doi:10.1007/978-3-030-49186-4_36 fatcat:jwaxo2argnhbrix2ojdpcyq22y

Apparel-based deep learning system design for apparel style recommendation

Congying Guan, Shengfeng Qin, Yang Long
2019 International Journal of Clothing Science and Technology  
Purpose The big challenge in apparel recommendation system research is not the exploration of machine learning technologies in fashion, but to really understand clothes, fashion and people and know what  ...  This paper aims to explore an advanced apparel style learning and recommendation system that can recognise deep designassociated features of clothes and learn the connotative meanings conveyed by these  ...  Zalando researchers (Bracher et al., 2016) proposed a fashion DNA-based recommendation model based on a deep neural network architecture to learn customer style.  ... 
doi:10.1108/ijcst-02-2018-0019 fatcat:jcqgsnghfrddrkteuybnfryhfi

Session-based Complementary Fashion Recommendations [article]

Jui-Chieh Wu, José Antonio Sánchez Rodríguez, Humberto Jesús Corona Pampín
2019 arXiv   pre-print
In this scenario, complementary recommendations serve the user need to find items that can be worn together.  ...  Our proposed approach shows significant improvements in terms of accuracy compared to the collaborative filtering approach, serving complementary item recommendations to our customers at the time of the  ...  top-k of the recommended items. • Order Recall@K: e percentage of times the clicked item is within the top-k of the recommended items, but only for the cases where the clicked item is ordered a er the  ... 
arXiv:1908.08327v1 fatcat:rqnsrdwtxfgm7cdcd6sctoj3ri

Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping [article]

Christian Bracher, Sebastian Heinz, Roland Vollgraf
2016 arXiv   pre-print
" of collaborative recommendation approaches.  ...  We experiment with Fashion DNA models based on visual and/or tag item data, evaluate their recommendation power, and discuss the resulting article similarities.  ...  Input data For our experiments, we selected a "standard" SKU set of 1.33 million items that were offered for sale at Zalando in the range 2011-2016, mostly clothing, shoes, and accessories, but also cosmetics  ... 
arXiv:1609.02489v1 fatcat:xpxv62qqufg7xixj67bflxfcny

Context-Aware Recommendations for Mobile Shopping

Béatrice Lamche, Yannick Rödl, Claudius Hauptmann, Wolfgang Wörndl
2015 ACM Conference on Recommender Systems  
Out of 20 clothing items from the hybrid recommendation algorithm, context-aware post-filtering searches for the nine best-fitting items.  ...  The answers of the user study show, that the recommendations were perceived as being better than the recommendations of a non-context aware recommender system.  ...  The case base is filtered in four steps.  ... 
dblp:conf/recsys/LamcheRHW15 fatcat:iokywootsjf7phkmgsa2akn4mq

Body Measure-aware Fashion Product Recommendations: Evaluating the Predictive Power of Body Scan Data

Alexander Piazza, Jochen Süßmuth, Freimut Bodendorf
2017 ACM Conference on Recommender Systems  
improves the prediction performance of the recommendation model, especially in new user scenarios, when no information about the fashion product preferences of the active user is known.  ...  Fashion product consumer are faced with large and fast changing product o erings. e fashion purchase decision process is complex, as the consumer has to consider various in uencing factors like current  ...  and what cut of the clothes emphasizing or covers certain body parts.  ... 
dblp:conf/recsys/PiazzaSB17 fatcat:3fv7556vwfelbgbytucmvhehw4

Single-Item Fashion Recommender: Towards Cross-Domain Recommendations [article]

Seyed Omid Mohammadi, Hossein Bodaghi, Ahmad Kalhor
2021 arXiv   pre-print
Moreover, the last contribution of this paper is a new evaluation metric for recommendation tasks called objective-guided human score.  ...  Next, the same structure is enhanced to personalize the results based on user preferences.  ...  INTRODUCTION The ever-growing fashion e-commerce has led to a massive increase in the number of fashion items, including clothing, bags, shoes, and accessories, posted online.  ... 
arXiv:2111.00758v1 fatcat:bwv5vko3ozbh3o4gefrtevbjzu

An LSTM-Based Dynamic Customer Model for Fashion Recommendation [article]

Sebastian Heinz, Christian Bracher, Roland Vollgraf
2017 arXiv   pre-print
Online fashion sales present a challenging use case for personalized recommendation: Stores offer a huge variety of items in multiple sizes.  ...  To model changing customer and store environments, our recommendation method employs a pair of neural networks: To overcome the cold start problem, a feedforward network generates article embeddings in  ...  Empirical baseline Fashion articles in the Zalando catalog vary greatly in popularity, with few articles representing most of the sales.  ... 
arXiv:1708.07347v1 fatcat:f6c7dl5nmfhornongw3sucytlm

Assessing Fashion Recommendations: A Multifaceted Offline Evaluation Approach [article]

Jake Sherman, Chinmay Shukla, Rhonda Textor, Su Zhang, Amy A. Winecoff
2019 arXiv   pre-print
Moreover, fashion data is characterized by a large majority of new users, so a recommendation strategy that performs well only for users with prior interaction history is a poor fit to the fashion problem  ...  We demonstrate that only by considering the performance of these algorithms across multiple metrics and user segments can we determine the extent to which each algorithm is likely to fulfill fashion users  ...  In the case where two users' top-k recommendations are exactly the same, the value of AD k,i, j will be zero. When they have no items in common, the value will be 2k.  ... 
arXiv:1909.04496v1 fatcat:xs5eh2hynfdkvdjv5b5rzzac5a

End-to-End Image-Based Fashion Recommendation [article]

Shereen Elsayed, Lukas Brinkmeyer, Lars Schmidt-Thieme
2022 arXiv   pre-print
Experiments on two image-based real-world recommender systems datasets show that the proposed model significantly outperforms all state-of-the-art image-based models.  ...  We present an ablation study to compare incorporating the image features using three different techniques into the recommender system component that can seamlessly leverage any available items' attributes  ...  Acknowledgements This work is co-funded by the industry Project "IIP-Ecosphere: Next Level Ecosphere for Intelligent Industrial Production".  ... 
arXiv:2205.02923v1 fatcat:lnjf4kjh7zemzd2bmvj6anj6ri

Buy Me That Look: An Approach for Recommending Similar Fashion Products [article]

Abhinav Ravi, Sandeep Repakula, Ujjal Kr Dutta, Maulik Parmar
2021 arXiv   pre-print
The novelty and strength of our method lies in its capability to recommend similar articles for all the fashion items worn by the model, in addition to the primary article corresponding to the query.  ...  In particular, given a user query and the corresponding Product Display Page (PDP) against the query, the goal of our method is to recommend similar fashion products corresponding to the entire set of  ...  However, this is not the case in fashion products retrieval/ recommendation.  ... 
arXiv:2008.11638v2 fatcat:n5vaumqd7ra75dl4hl3fgfmu6i

Fashion Police: Towards Semantic Indexing of Clothing Information in Surveillance Data [chapter]

Owen Corrigan, Suzanne Little
2018 Msphere  
Indexing and retrieval of clothing based on style, similarity and colour has been extensively studied in the field of fashion with good results.  ...  Therefore we propose using machine learning to automatically index video footage based on general clothing types and evaluate the performance using existing public datasets.  ...  Acknowledgments This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement number 700381) project  ... 
doi:10.1007/978-3-030-05710-7_16 fatcat:5jbuoqsutrgatgddfgrdj3xgxe

Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources [article]

Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz
2018 arXiv   pre-print
We see our method as the first step towards the large-scale understanding of clothing preferences from body shape.  ...  To study the correlation between clothing garments and body shape, we collected a new dataset (Fashion Takes Shape), which includes images of users with clothing category annotations.  ...  Research in the domain of clothing recommendation studies the relation between clothing and categories, location, travel destination and weather.  ... 
arXiv:1807.03235v2 fatcat:e3dzood2trcv5f5sqdsda5rviy

Randomness and recommendations – exploring the web platform of the artist Ivar Arosenius and other digital collections of art

Karin Wagner
2020 Museum & Society  
There is a risk that recommendations based on machine learning will come to influence the way we perceive similarity.  ...  These features include random display, recommendations and machine learning of visual similarities. Key questions are: What are the general implications of these features for the art history canon?  ...  In the clothing industry, what counts is the latest fashion. In art history, it is the canon.  ... 
doi:10.29311/mas.v18i2.3252 fatcat:ok4w5b743ffejabw4h6cb4yf24

Determining Your 'Fashion Identity' in Fashion Recommender Systems and Issues Surrounding the Right to Privacy

Daria Onitiu
2021 European Journal of Law and Technology  
Fashion recommender systems support the optimisation of social processes that are based on implementing 'fashion narratives' on style and emotional attributes on clothing in the algorithmic process.  ...  Whilst fashion recommender systems illustrate incomplete semblance of individual behaviour, it bases the operation on the responsiveness of individual behaviour, impacting an individual's autonomy.  ...  Fashion recommender systems can only operate considering the clothing attributes and rules of style that are incorporated into inferred preferences.  ... 
dblp:journals/ejlt/Onitiu21 fatcat:jqheqjutofhvflobw6s5mnu7lm
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