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In fashion recommender systems, each product usually consists of multiple semantic attributes (e.g., sleeves, collar, etc).
Explaining recommendations: Satisfaction vs. promotion
Mustafa Bilgic and Raymond J Mooney · 2005
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Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Diederik P Kingma and Jimmy Ba · 2014
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Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
Yongfeng Zhang, Guokun Lai, Min Zhang, Yi Zhang, Yiqun Liu, and Shaoping Ma · 2014
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Fast r-cnn
Ross Girshick · 2015
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Discovering the spatial extent of relative attributes
Fanyi Xiao and Yong Jae Lee · 2015
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Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering
Ruining He and Julian McAuley · 2016
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Ruining He and Julian McAuley · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Ruining He, Chunbin Lin, Jianguo Wang, and Julian McAuley · 2016
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Comparative deep learning of hybrid representations for image recommendations
Chenyi Lei, Dong Liu, Weiping Li, Zheng-Jun Zha, and Houqiang Li · 2016
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End-to-end localization and ranking for relative attributes
Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Modeling the evolution of users’ preferences and social links in social networking services
Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, and Meng Wang · 2017
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Joint representation learning for top-n recommendation with heterogeneous information sources
Yongfeng Zhang, Qingyao Ai, Xu Chen, and W Bruce Croft · 2017
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Learning attribute representations with localization for flexible fashion search
Kenan E Ak, Ashraf A Kassim, Joo Hwee Lim, and Jo Yew Tham · 2018
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Visually explainable recommendation
Xu Chen, Yongfeng Zhang, Hongteng Xu, Yixin Cao, Zheng Qin, and Hongyuan Zha · 2018
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Krishna Kumar Singh and Yong Jae Lee · 2016
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Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
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Behnoush Abdollahi · 2017
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Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, and Tat-Seng Chua · 2017
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Neural collaborative filtering
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua · 2017
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Visually-aware fashion recommendation and design with generative image models
Wang-Cheng Kang, Chen Fang, Zhaowen Wang, and Julian McAuley · 2017
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Deepstyle: Learning user preferences for visual recommendation
Qiang Liu, Shu Wu, and Liang Wang · 2017
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Learning from history and present: Next-item recommendation via discriminatively exploiting user behaviors
Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, and Enhong Chen · 2018
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Multiple pairwise ranking with implicit feedback
Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, and Enhong Chen · 2018
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Aesthetic-based clothing recommendation
Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, and Zheng Qin · 2018
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Explainable recommendation: A survey and new perspectives
Yongfeng Zhang and Xu Chen · 2018
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A deep framework for cross-domain and cross-system recommendations
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A Orgun, and Jia Wu · 2018
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Explainable recommendation through attentive multi-view learning
Jingyue Gao, Xiting Wang, Yasha Wang, and Xing Xie · 2019
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A hierarchical attention model for social contextual image recommendation
Wu Le, Chen Lei, Hong Richang, Fu Yanjie, Xie Xing, and Wang Meng · 2019
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