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Collaborative Deep Learning for Recommender Systems

Collaborative Deep Learning for Recommender Systems

10 September 2014
Hao Wang
Naiyan Wang
Dit-Yan Yeung
    BDL
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Papers citing "Collaborative Deep Learning for Recommender Systems"

27 / 77 papers shown
Title
Collaborative Sampling in Generative Adversarial Networks
Collaborative Sampling in Generative Adversarial Networks
Yuejiang Liu
Parth Kothari
Alexandre Alahi
TTA
28
16
0
02 Feb 2019
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain
  Collaborative Filtering with Text
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
Guangneng Hu
Yu Zhang
Qiang Yang
21
80
0
22 Jan 2019
Sequential Variational Autoencoders for Collaborative Filtering
Sequential Variational Autoencoders for Collaborative Filtering
Noveen Sachdeva
Giuseppe Manco
Ettore Ritacco
Vikram Pudi
BDL
13
101
0
25 Nov 2018
Ranking Distillation: Learning Compact Ranking Models With High
  Performance for Recommender System
Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
Jiaxi Tang
Ke Wang
24
182
0
19 Sep 2018
Personalized Top-N Sequential Recommendation via Convolutional Sequence
  Embedding
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
Jiaxi Tang
Ke Wang
BDL
19
1,665
0
19 Sep 2018
Item Recommendation with Variational Autoencoders and Heterogenous
  Priors
Item Recommendation with Variational Autoencoders and Heterogenous Priors
Giannis Karamanolakis
Kevin Raji Cherian
A. Narayan
Jie Yuan
Da Tang
Tony Jebara
DRL
8
45
0
17 Jul 2018
Competitive Analysis System for Theatrical Movie Releases Based on Movie
  Trailer Deep Video Representation
Competitive Analysis System for Theatrical Movie Releases Based on Movie Trailer Deep Video Representation
Miguel Campo
C. Hsieh
Matt Nickens
J. J. Espinoza
Abhinav Taliyan
J. Rieger
Jean Ho
Bettina Sherick
HAI
15
8
0
12 Jul 2018
Perceive Your Users in Depth: Learning Universal User Representations
  from Multiple E-commerce Tasks
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Yabo Ni
Dan Ou
Shichen Liu
Xiang Li
Wenwu Ou
Anxiang Zeng
Luo Si
22
139
0
28 May 2018
Explainable Recommendation: A Survey and New Perspectives
Explainable Recommendation: A Survey and New Perspectives
Yongfeng Zhang
Xu Chen
XAI
LRM
32
865
0
30 Apr 2018
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
Zhenhua Dong
115
64
0
12 Apr 2018
Cross-domain Recommendation via Deep Domain Adaptation
Cross-domain Recommendation via Deep Domain Adaptation
Heishiro Kanagawa
Hayato Kobayashi
N. Shimizu
Yukihiro Tagami
Taiji Suzuki
19
92
0
08 Mar 2018
Deep Models of Interactions Across Sets
Deep Models of Interactions Across Sets
Jason S. Hartford
Devon R. Graham
Kevin Leyton-Brown
Siamak Ravanbakhsh
22
157
0
07 Mar 2018
Beyond Greedy Ranking: Slate Optimization via List-CVAE
Beyond Greedy Ranking: Slate Optimization via List-CVAE
Ray Jiang
Sven Gowal
Timothy A. Mann
Danilo Jimenez Rezende
14
49
0
05 Mar 2018
Learning Compact Neural Networks with Regularization
Learning Compact Neural Networks with Regularization
Samet Oymak
MLT
38
39
0
05 Feb 2018
Multi-Pointer Co-Attention Networks for Recommendation
Multi-Pointer Co-Attention Networks for Recommendation
Yi Tay
Anh Tuan Luu
S. Hui
3DV
21
287
0
28 Jan 2018
TransNets: Learning to Transform for Recommendation
TransNets: Learning to Transform for Recommendation
R. Catherine
William W. Cohen
AI4TS
11
270
0
07 Apr 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
16
2,608
0
13 Mar 2017
Personalized Video Recommendation Using Rich Contents from Videos
Personalized Video Recommendation Using Rich Contents from Videos
Xingzhong Du
Hongzhi Yin
Ling-Hao Chen
Yang Wang
Yi Yang
Xiaofang Zhou
VGen
18
10
0
21 Dec 2016
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
13
101
0
02 Nov 2016
CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for
  Completely Cold Item Recommendations
CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations
Oren Barkan
Noam Koenigstein
E. Yogev
Ori Katz
VLM
50
4
0
01 Nov 2016
A Survey of Multi-View Representation Learning
A Survey of Multi-View Representation Learning
Yingming Li
Ming Yang
Zhongfei Zhang
AI4TS
3DV
30
509
0
03 Oct 2016
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
Trapit Bansal
David Belanger
Andrew McCallum
17
313
0
07 Sep 2016
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
Towards Bayesian Deep Learning: A Framework and Some Existing Methods
Hao Wang
Dit-Yan Yeung
BDL
18
223
0
24 Aug 2016
Improved Recurrent Neural Networks for Session-based Recommendations
Improved Recurrent Neural Networks for Session-based Recommendations
Yong Kiam Tan
Xinxing Xu
Yong-Jin Liu
18
732
0
27 Jun 2016
Wide & Deep Learning for Recommender Systems
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
...
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
HAI
VLM
52
3,604
0
24 Jun 2016
Hybrid Recommender System based on Autoencoders
Hybrid Recommender System based on Autoencoders
Florian Strub
Romaric Gaudel
Jérémie Mary
38
219
0
24 Jun 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
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