Visually-Aware Fashion Recommendation and Design with Generative Image Models

@article{Kang2017VisuallyAwareFR,
  title={Visually-Aware Fashion Recommendation and Design with Generative Image Models},
  author={Wang-Cheng Kang and Chen Fang and Zhaowen Wang and Julian McAuley},
  journal={2017 IEEE International Conference on Data Mining (ICDM)},
  year={2017},
  pages={207-216}
}
Building effective recommender systems for domains like fashion is challenging due to the high level of subjectivity and the semantic complexity of the features involved (i.e., fashion styles). Recent work has shown that approaches to 'visual' recommendation (e.g. clothing, art, etc.) can be made more accurate by incorporating visual signals directly into the recommendation objective, using 'off-the-shelf' feature representations derived from deep networks. Here, we seek to extend this… 

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