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Product Characterisation towards Personalisation: Learning Attributes
  from Unstructured Data to Recommend Fashion Products

Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products

20 March 2018
Ângelo Cardoso
F. Daolio
S. Vargas
ArXivPDFHTML

Papers citing "Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products"

15 / 15 papers shown
Title
Fashion and Apparel Classification using Convolutional Neural Networks
Fashion and Apparel Classification using Convolutional Neural Networks
Alexander Schindler
T. Lidy
S. Karner
Matthias Hecker
32
20
0
11 Nov 2018
WMRB: Learning to Rank in a Scalable Batch Training Approach
WMRB: Learning to Rank in a Scalable Batch Training Approach
Kuan Liu
Premkumar Natarajan
39
7
0
10 Nov 2017
An Overview of Multi-Task Learning in Deep Neural Networks
An Overview of Multi-Task Learning in Deep Neural Networks
Sebastian Ruder
CVBM
149
2,828
0
15 Jun 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia Wilson
Rebecca Roelofs
Mitchell Stern
Nathan Srebro
Benjamin Recht
ODL
65
1,032
0
23 May 2017
Visual Discovery at Pinterest
Visual Discovery at Pinterest
Andrew Zhai
Dmitry Kislyuk
Yushi Jing
Michael Feng
Eric Tzeng
Jeff Donahue
Yue Li Du
Trevor Darrell
37
82
0
15 Feb 2017
Is a picture worth a thousand words? A Deep Multi-Modal Fusion
  Architecture for Product Classification in e-commerce
Is a picture worth a thousand words? A Deep Multi-Modal Fusion Architecture for Product Classification in e-commerce
Tom Zahavy
Alessandro Magnani
Abhinandan Krishnan
Shie Mannor
68
63
0
29 Nov 2016
Fashion DNA: Merging Content and Sales Data for Recommendation and
  Article Mapping
Fashion DNA: Merging Content and Sales Data for Recommendation and Article Mapping
Christian Bracher
Sebastian Heinz
Roland Vollgraf
38
49
0
08 Sep 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
433
18,361
0
27 May 2016
CNN-RNN: A Unified Framework for Multi-label Image Classification
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang
Yi Yang
Junhua Mao
Zhiheng Huang
Chang Huang
Wenyuan Xu
SSL
90
1,163
0
15 Apr 2016
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional
  Neural Networks for Sentence Classification
A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification
Ye Zhang
Byron C. Wallace
AAML
110
1,200
0
13 Oct 2015
Massively Multitask Networks for Drug Discovery
Massively Multitask Networks for Drug Discovery
Bharath Ramsundar
S. Kearnes
Patrick F. Riley
D. Webster
D. Konerding
Vijay S. Pande
97
472
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Effective Use of Word Order for Text Categorization with Convolutional
  Neural Networks
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
Rie Johnson
Tong Zhang
100
882
0
01 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
626
13,427
0
25 Aug 2014
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