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1706.07515
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Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation
22 June 2017
Vicente Dominguez
Pablo Messina
Denis Parra
Domingo Mery
C. Trattner
Á. Soto
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Papers citing
"Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation"
11 / 11 papers shown
Title
Exploring Content-based Artwork Recommendation with Metadata and Visual Features
Pablo Messina
Vicente Dominquez
Denis Parra
C. Trattner
Á. Soto
28
15
0
19 Jun 2017
Using Mise-En-Scène Visual Features based on MPEG-7 and Deep Learning for Movie Recommendation
Yashar Deldjoo
Massimo Quadrana
Mehdi Elahi
Paolo Cremonesi
26
14
0
20 Apr 2017
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation
Ruining He
Chen Fang
Zhaowen Wang
Julian McAuley
40
145
0
15 Jul 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Totti Nguyen
J. Yosinski
Jeff Clune
54
329
0
11 Feb 2016
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Ruining He
Julian McAuley
BDL
93
905
0
06 Oct 2015
Image-based Recommendations on Styles and Substitutes
Julian McAuley
C. Targett
Javen Qinfeng Shi
Anton Van Den Hengel
124
2,405
0
15 Jun 2015
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
457
43,649
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
271
14,710
0
20 Jun 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
157
4,939
0
23 Mar 2014
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
591
15,876
0
12 Nov 2013
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