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Research Article

Smart Fashion Recommendation System using FashionNet

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  • @ARTICLE{10.4108/eetsis.4278,
        author={Nagendra Panini Challa and Abbaraju Sao Sathwik and Jinka Chandra Kiran and Kokkula Lokesh and Venkata Sasi Deepthi Ch and Beebi Naseeba},
        title={Smart Fashion Recommendation System using FashionNet},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={11},
        number={1},
        publisher={EAI},
        journal_a={SIS},
        year={2023},
        month={10},
        keywords={Deep Learning, ResNet50, KNN, FashionNet},
        doi={10.4108/eetsis.4278}
    }
    
  • Nagendra Panini Challa
    Abbaraju Sao Sathwik
    Jinka Chandra Kiran
    Kokkula Lokesh
    Venkata Sasi Deepthi Ch
    Beebi Naseeba
    Year: 2023
    Smart Fashion Recommendation System using FashionNet
    SIS
    EAI
    DOI: 10.4108/eetsis.4278
Nagendra Panini Challa1,*, Abbaraju Sao Sathwik1, Jinka Chandra Kiran1, Kokkula Lokesh1, Venkata Sasi Deepthi Ch2, Beebi Naseeba1
  • 1: Vellore Institute of Technology University
  • 2: Shri Vishnu Engineering College for Women
*Contact email: nagendra.challa@vitap.ac.in

Abstract

An intelligent system known as a fashion suggestion system gives consumers personalised fashion advice based on their tastes, style, body shape, and other variables. The system analyses a user's data and predicts the best fashion products for them using data analytics, machine learning, and artificial intelligence approaches. Intelligent fashion suggestion is currently desperately needed due to the explosive expansion of fashion-focused trends. We create algorithms that automatically recommend users' attire based on their own fashion tastes. We investigate the use of deep networks to this difficult problem. Our technology, called FashionNet, is made up of two parts: a matching network for determining compatibility and a feature network for feature extraction. We create a two-stage training method that transfers a broad compatibility model to a model that embeds personal choice in order to achieve personalised recommendation.

Keywords
Deep Learning, ResNet50, KNN, FashionNet
Received
2023-08-19
Accepted
2023-10-13
Published
2023-10-30
Publisher
EAI
http://dx.doi.org/10.4108/eetsis.4278

Copyright © 2023 N. P. Challa et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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