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  • In the proposed model, personalized recommendation is achieved by using a 'visually aware' recommender based on Siamese Convolutional Neural Networks; generation is achieved by using a Generative Adversarial Net (GAN) to synthesize new clothing items in the user's personal style. 
(Icons made by Madebyoliver, Roundicons and Freepik from  www.flaticon.com )
    University of California San Diego
    In the proposed model, personalized recommendation is achieved by using a 'visually aware' recommender based on Siamese Convolutional Neural Networks; generation is achieved by using a Generative Adversarial Net (GAN) to synthesize new clothing items in the user's personal style. (Icons made by Madebyoliver, Roundicons and Freepik from www.flaticon.com )
  • Each row is a separate retrieval/optimization
process for a given user and product category.
At left are real images; at right, synthetic ones.
The values are preference scores for each image.
    University of California San Diego
    Each row is a separate retrieval/optimization process for a given user and product category. At left are real images; at right, synthetic ones. The values are preference scores for each image.




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