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Visually-aware recommender systems use visual signals present in the underlying data to model the visual characteristics of items and users' preferences towards them.
BPR: Bayesian personalized ranking from implicit feedback. In UAI
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009 · 2009
Earlier work this paper cites.
ImageNet classification with Deep Convolutional Neural Networks. In NIPS
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012 · 2012
Earlier work this paper cites.
Apparel classification with style. In ACCV
Lukas Bossard, Matthias Dantone, Christian Leistner, Christian Wengert, Till Quack, and Luc Van Gool. 2013 · 2013
Earlier work this paper cites.
Image-based recommendations on style and substitutes. In SIGIR
Julian McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel. 2015 · 2015
Cited alongside, same era.
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei. 2015 · 2015
Cited alongside, same era.
Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering. In World Wide Web
Ruining He and Julian McAuley. 2016a
Cited in the paper.
VBPR: Visual bayesian personalized ranking from implicit feedback. In AAAI Conference on Artificial Intelligence
Ruining He and Julian McAuley. 2016b
Cited in the paper.
Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes
Qi Dong, Shaogang Gong, and Xiatian Zhu. 2016 · 2016
Later among the works it cites.
DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Ziwei Liu, Ping Luo, Shi Qiu, Xiaogang Wang, and Xiaoou Tang. 2016 · 2016
Later among the works it cites.
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