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Future Data Helps Training: Modeling Future Contexts for Session-based
  Recommendation
v1v2v3v4 (latest)

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation

11 June 2019
Fajie Yuan
Xiangnan He
Haochuan Jiang
G. Guo
Jian Xiong
Zhezhao Xu
Yilin Xiong
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation"

30 / 30 papers shown
Title
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
An Yan
Shuo Cheng
Wang-Cheng Kang
Mengting Wan
Julian McAuley
3DVHAI
43
124
0
27 Aug 2019
MASS: Masked Sequence to Sequence Pre-training for Language Generation
MASS: Masked Sequence to Sequence Pre-training for Language Generation
Kaitao Song
Xu Tan
Tao Qin
Jianfeng Lu
Tie-Yan Liu
115
965
0
07 May 2019
Deep Learning for Sequential Recommendation: Algorithms, Influential
  Factors, and Evaluations
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations
Hui Fang
Danning Zhang
Yiheng Shu
G. Guo
BDLHAI
37
42
0
30 Apr 2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder
  Representations from Transformer
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun
Jun Liu
Jian Wu
Changhua Pei
Xiao Lin
Wenwu Ou
Peng Jiang
BDLHAI
181
2,171
0
14 Apr 2019
Hierarchical Temporal Convolutional Networks for Dynamic Recommender
  Systems
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
Jiaxuan You
Yichen Wang
Aditya Pal
Pong Eksombatchai
C. Rosenberg
J. Leskovec
59
125
0
08 Apr 2019
Towards Neural Mixture Recommender for Long Range Dependent User
  Sequences
Towards Neural Mixture Recommender for Long Range Dependent User Sequences
Jiaxi Tang
Francois Belletti
Sagar Jain
Minmin Chen
Alex Beutel
Can Xu
Ed H. Chi
45
92
0
22 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
94,891
0
11 Oct 2018
Personalized Top-N Sequential Recommendation via Convolutional Sequence
  Embedding
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
Jiaxi Tang
Ke Wang
BDL
75
1,708
0
19 Sep 2018
Self-Attentive Sequential Recommendation
Self-Attentive Sequential Recommendation
Wang-Cheng Kang
Julian McAuley
HAIBDL
163
2,437
0
20 Aug 2018
A Simple Convolutional Generative Network for Next Item Recommendation
A Simple Convolutional Generative Network for Next Item Recommendation
Fajie Yuan
Alexandros Karatzoglou
Ioannis Arapakis
J. Jose
Xiangnan He
62
551
0
15 Aug 2018
Adversarial Personalized Ranking for Recommendation
Adversarial Personalized Ranking for Recommendation
Xiangnan He
Zhankui He
Xiaoyu Du
Tat-Seng Chua
85
396
0
12 Aug 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
214
11,556
0
15 Feb 2018
Personalizing Session-based Recommendations with Hierarchical Recurrent
  Neural Networks
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
Massimo Quadrana
Alexandros Karatzoglou
Balázs Hidasi
Paolo Cremonesi
44
646
0
13 Jun 2017
Recurrent Neural Networks with Top-k Gains for Session-based
  Recommendations
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
Balázs Hidasi
Alexandros Karatzoglou
61
829
0
12 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
701
131,652
0
12 Jun 2017
IRGAN: A Minimax Game for Unifying Generative and Discriminative
  Information Retrieval Models
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
Jun Wang
Lantao Yu
Weinan Zhang
Yu Gong
Yinghui Xu
Benyou Wang
Peng Zhang
Dell Zhang
83
600
0
30 May 2017
Convolutional Sequence to Sequence Learning
Convolutional Sequence to Sequence Learning
Jonas Gehring
Michael Auli
David Grangier
Denis Yarats
Yann N. Dauphin
AIMat
169
3,287
0
08 May 2017
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech
  Recognition
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition
Tom Sercu
Vaibhava Goel
VLM
66
55
0
28 Nov 2016
Neural Machine Translation in Linear Time
Neural Machine Translation in Linear Time
Nal Kalchbrenner
L. Espeholt
Karen Simonyan
Aaron van den Oord
Alex Graves
Koray Kavukcuoglu
AIMat
107
553
0
31 Oct 2016
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
71
425
0
03 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
772
36,813
0
25 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
57
742
0
27 Jun 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
209
2,513
0
16 Jun 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
382
7,964
0
17 Aug 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
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
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
231
8,336
0
06 Nov 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
437
20,568
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
558
27,311
0
01 Sep 2014
BPR: Bayesian Personalized Ranking from Implicit Feedback
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
152
5,727
0
09 May 2012
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