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Cross-domain Recommendation via Deep Domain Adaptation

Cross-domain Recommendation via Deep Domain Adaptation

8 March 2018
Heishiro Kanagawa
Hayato Kobayashi
N. Shimizu
Yukihiro Tagami
Taiji Suzuki
ArXiv (abs)PDFHTML

Papers citing "Cross-domain Recommendation via Deep Domain Adaptation"

16 / 16 papers shown
Title
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation
Jiajie Zhu
Yan Wang
Feng Zhu
Zhu Sun
CML
138
2
0
17 Apr 2024
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
825
11,937
0
09 Mar 2017
Learning to Remember Rare Events
Learning to Remember Rare Events
Lukasz Kaiser
Ofir Nachum
Aurko Roy
Samy Bengio
RALMCLL
125
364
0
09 Mar 2017
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in
  the Blanks
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
Hao Wang
Xingjian Shi
Dit-Yan Yeung
BDL
56
102
0
02 Nov 2016
Domain Separation Networks
Domain Separation Networks
Konstantinos Bousmalis
George Trigeorgis
N. Silberman
Dilip Krishnan
D. Erhan
OOD
112
1,451
0
22 Aug 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
373
7,323
0
13 Jun 2016
A Neural Autoregressive Approach to Collaborative Filtering
A Neural Autoregressive Approach to Collaborative Filtering
Yin Zheng
Bangsheng Tang
Wenkui Ding
Hanning Zhou
BDL
53
223
0
31 May 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
300
5,532
0
23 Nov 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
383
9,511
0
28 May 2015
LSHTC: A Benchmark for Large-Scale Text Classification
LSHTC: A Benchmark for Large-Scale Text Classification
Ioannis Partalas
Aris Kosmopoulos
Nicolas Baskiotis
Thierry Artières
George Giannakopoulos
Éric Gaussier
Ion Androutsopoulos
Massih-Reza Amini
Patrick Gallinari
52
181
0
30 Mar 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
326
18,647
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,260
0
22 Dec 2014
On Using Very Large Target Vocabulary for Neural Machine Translation
On Using Very Large Target Vocabulary for Neural Machine Translation
Sébastien Jean
Kyunghyun Cho
Roland Memisevic
Yoshua Bengio
155
1,011
0
05 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,041
0
26 Sep 2014
Collaborative Deep Learning for Recommender Systems
Collaborative Deep Learning for Recommender Systems
Hao Wang
Naiyan Wang
Dit-Yan Yeung
BDL
120
1,618
0
10 Sep 2014
Multi-Domain Collaborative Filtering
Multi-Domain Collaborative Filtering
Yu Zhang
Bin Cao
Dit-Yan Yeung
93
178
0
15 Mar 2012
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