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Modeling Personalized Item Frequency Information for Next-basket
  Recommendation

Modeling Personalized Item Frequency Information for Next-basket Recommendation

31 May 2020
Haoji Hu
Xiangnan He
Jinyang Gao
Zhi-Li Zhang
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Modeling Personalized Item Frequency Information for Next-basket Recommendation"

14 / 14 papers shown
Title
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
189
3,674
0
06 Feb 2020
Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear
  Networks
Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks
Wei Hu
Lechao Xiao
Jeffrey Pennington
64
115
0
16 Jan 2020
Future Data Helps Training: Modeling Future Contexts for Session-based
  Recommendation
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation
Fajie Yuan
Xiangnan He
Haochuan Jiang
G. Guo
Jian Xiong
Zhezhao Xu
Yilin Xiong
AI4TS
72
103
0
11 Jun 2019
Adaptive Matrix Completion for the Users and the Items in Tail
Adaptive Matrix Completion for the Users and the Items in Tail
Mohit Sharma
George Karypis
36
10
0
22 Apr 2019
Self-Attentive Sequential Recommendation
Self-Attentive Sequential Recommendation
Wang-Cheng Kang
Julian McAuley
HAIBDL
178
2,442
0
20 Aug 2018
Learning ReLU Networks on Linearly Separable Data: Algorithm,
  Optimality, and Generalization
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization
G. Wang
G. Giannakis
Jie Chen
MLT
62
131
0
14 Aug 2018
Evaluation of Session-based Recommendation Algorithms
Evaluation of Session-based Recommendation Algorithms
Malte Ludewig
Dietmar Jannach
52
296
0
26 Mar 2018
Variational Autoencoders for Collaborative Filtering
Variational Autoencoders for Collaborative Filtering
Dawen Liang
Rahul G. Krishnan
Matthew D. Hoffman
Tony Jebara
BDL
181
1,241
0
16 Feb 2018
Session-based Recommendations with Recurrent Neural Networks
Session-based Recommendations with Recurrent Neural Networks
Balázs Hidasi
Alexandros Karatzoglou
L. Baltrunas
D. Tikk
84
2,096
0
21 Nov 2015
LSTM: A Search Space Odyssey
LSTM: A Search Space Odyssey
Klaus Greff
R. Srivastava
Jan Koutník
Bas R. Steunebrink
Jürgen Schmidhuber
AI4TSVLM
130
5,309
0
13 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Qualitatively characterizing neural network optimization problems
Qualitatively characterizing neural network optimization problems
Ian Goodfellow
Oriol Vinyals
Andrew M. Saxe
ODL
112
523
0
19 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
259
6,786
0
03 Sep 2014
On the difficulty of training Recurrent Neural Networks
On the difficulty of training Recurrent Neural Networks
Razvan Pascanu
Tomas Mikolov
Yoshua Bengio
ODL
204
5,360
0
21 Nov 2012
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