Style2vec: Representation learning for fashion items from style sets
With the rapid growth of online fashion market, demand for effective fashion
recommendation systems has never been greater. In fashion recommendation, the ability to
find items that goes well with a few other items based on style is more important than picking
a single item based on the user's entire purchase history. Since the same user may have
purchased dress suits in one month and casual denims in another, it is impossible to learn
the latent style features of those items using only the user ratings. If we were able to …
recommendation systems has never been greater. In fashion recommendation, the ability to
find items that goes well with a few other items based on style is more important than picking
a single item based on the user's entire purchase history. Since the same user may have
purchased dress suits in one month and casual denims in another, it is impossible to learn
the latent style features of those items using only the user ratings. If we were able to …
[CITATION][C] Style2vec: Representation learning for fashion items from style sets. CoRR abs/1708.04014 (2017)
H Lee, J Seol, S Lee - arXiv preprint arXiv:1708.04014, 2017
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