Corpus ID: 218889535

Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach

@article{Zheng2020PersonalizedFR,
  title={Personalized Fashion Recommendation from Personal Social Media Data: An Item-to-Set Metric Learning Approach},
  author={Haitian Zheng and Ke-Fei Wu and Jonghwi Park and W. Zhu and Jiebo Luo},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.12439}
}
  • Haitian Zheng, Ke-Fei Wu, +2 authors Jiebo Luo
  • Published 2020
  • Computer Science
  • ArXiv
  • With the growth of online shopping for fashion products, accurate fashion recommendation has become a critical problem. Meanwhile, social networks provide an open and new data source for personalized fashion analysis. In this work, we study the problem of personalized fashion recommendation from social media data, i.e. recommending new outfits to social media users that fit their fashion preferences. To this end, we present an item-to-set metric learning framework that learns to compute the… CONTINUE READING

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