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With the rapid growth of online fashion market, demand for effective fashion recommendation systems has never been greater.
Visualizing data using t-sne
L. v. d. Maaten and G. Hinton · 2008
Earlier work this paper cites.
Efficient estimation of word representations in vector space
T. Mikolov, K. Chen, G. Corrado, and J. Dean · 2013
Earlier work this paper cites.
Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
Earlier work this paper cites.
Linguistic regularities in continuous space word representations
T. Mikolov, W.-t. Yih, and G. Zweig · 2013
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Collaborative fashion recommendation: a functional tensor factorization approach
Y. Hu, X. Yi, and L. S. Davis · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Style recommendation for fashion items using heterogeneous information network
H. Lee and S.-g. Lee · 2015
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Image-based recommendations on styles and substitutes
J. McAuley, C. Targett, Q. Shi, and A. Van Den Hengel · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
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Learning visual clothing style with heterogeneous dyadic co-occurrences
A. Veit, B. Kovacs, S. Bell, J. McAuley, K. Bala, and S. Belongie · 2015
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J. Donahue, P. Krähenbühl, and T. Darrell · 2016
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Adversarially learned inference
V. Dumoulin, I. Belghazi, B. Poole, A. Lamb, M. Arjovsky, O. Mastropietro, and A. Courville · 2016
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Learning compatibility across categories for heterogeneous item recommendation
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R. He, C. Packer, and J. McAuley · 2016
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