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1706.03847
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Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
International Conference on Information and Knowledge Management (CIKM), 2017
12 June 2017
Balázs Hidasi
Alexandros Karatzoglou
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Papers citing
"Recurrent Neural Networks with Top-k Gains for Session-based Recommendations"
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Title
A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation
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Effective and Efficient Training for Sequential Recommendation using Recency Sampling
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Aleksandr V. Petrov
Craig Macdonald
183
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Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Shansan Gong
Ke Zhu
77
41
0
12 May 2022
PinnerFormer: Sequence Modeling for User Representation at Pinterest
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Nikil Pancha
Andrew Zhai
J. Leskovec
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204
52
0
09 May 2022
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Xiaokun Zhang
Bo Xu
Liang Yang
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Fenglong Ma
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80
69
0
09 May 2022
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings
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Cheng-Te Li
Cheng-Mao Hsu
Yang Zhang
FaML
136
41
0
30 Apr 2022
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games
The Web Conference (WWW), 2022
Hojoon Lee
Dongyoon Hwang
Hyunseung Kim
ByungKun Lee
Jaegul Choo
94
12
0
27 Apr 2022
Determinantal Point Process Likelihoods for Sequential Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Yuli Liu
Christian J. Walder
Lexing Xie
104
17
0
25 Apr 2022
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation
Yongjing Hao
Pengpeng Zhao
Xuefeng Xian
Guanfeng Liu
Deqing Wang
Lei Zhao
Yanchi Liu
Victor S. Sheng
AI4TS
LRM
SSL
115
3
0
21 Apr 2022
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention
ACM Conference on Recommender Systems (RecSys), 2022
Ahmed Rashed
Shereen Elsayed
Lars Schmidt-Thieme
86
78
0
04 Apr 2022
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search
Web Search and Data Mining (WSDM), 2022
Zhifang Fan
Dan Ou
Yulong Gu
Bairan Fu
Xiang Li
Wentian Bao
Xinyu Dai
Xiaoyi Zeng
Tao Zhuang
Qingwen Liu
103
29
0
29 Mar 2022
Data Augmentation Strategies for Improving Sequential Recommender Systems
Jooeun Song
B. Suh
76
12
0
26 Mar 2022
Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation (Extended Abstract)
Aleksandra Burashnikova
Yury Maximov
Marianne Clausel
Charlotte Laclau
F. Iutzeler
Massih-Reza Amini
43
0
0
26 Feb 2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
The Web Conference (WWW), 2022
Ruijie Wang
Zheng Li
Danqing Zhang
Qingyu Yin
Tong Zhao
Bing Yin
Tarek Abdelzaher
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108
26
0
12 Feb 2022
Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items
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Sebastian Schelter
96
7
0
27 Jan 2022
On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models
S. Cho
Hongjun Lim
Keunchan Park
S. Yoo
Eunhyeok Park
75
5
0
29 Dec 2021
Robust Recommendation with Implicit Feedback via Eliminating the Effects of Unexpected Behaviors
Jie Chen
Lifen Jiang
Chunmei Ma
Huazhi Sun
38
0
0
21 Dec 2021
DiPS: Differentiable Policy for Sketching in Recommender Systems
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Saayan Mitra
Andrew Lan
BDL
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102
3
0
08 Dec 2021
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
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Hongxu Chen
Yile Li
Lin Li
Philip S. Yu
Guandong Xu
133
19
0
24 Nov 2021
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
Web Search and Data Mining (WSDM), 2021
Chenglin Li
Mingjun Zhao
Huanming Zhang
Chenyun Yu
Lei Cheng
Guoqiang Shu
Beibei Kong
Di Niu
114
79
0
19 Nov 2021
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zijian Li
Ruichu Cai
Fengzhu Wu
Siliang Zhang
Hao Gu
Yuexing Hao
Yuguang Yan
71
6
0
14 Nov 2021
Improving Next-Application Prediction with Deep Personalized-Attention Neural Network
International Conference on Machine Learning and Applications (ICMLA), 2021
Jun Zhu
Gautier Viaud
C´eline Hudelot
HAI
67
4
0
09 Nov 2021
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Dusan Stamenkovic
Alexandros Karatzoglou
Ioannis Arapakis
Xin Xin
Kleomenis Katevas
97
58
0
28 Oct 2021
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Chao Huang
Jiahui Chen
Lianghao Xia
Yong-mei Xu
Peng Dai
Yanqing Chen
Liefeng Bo
Jiashu Zhao
Xiangji Huang
208
103
0
08 Oct 2021
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation
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Deepesh V. Hada
S. Shevade
90
5
0
04 Oct 2021
Dynamic Sequential Graph Learning for Click-Through Rate Prediction
Yunfei Chu
Xiaofu Chang
Kunyang Jia
Jingzhen Zhou
Hongxia Yang
127
6
0
26 Sep 2021
Causal Incremental Graph Convolution for Recommender System Retraining
Sihao Ding
Fuli Feng
Xiangnan He
Yong Liao
Jun Shi
Yongdong Zhang
CML
CLL
BDL
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152
42
0
16 Aug 2021
Sequence Adaptation via Reinforcement Learning in Recommender Systems
ACM Conference on Recommender Systems (RecSys), 2021
Stefanos Antaris
Dimitrios Rafailidis
70
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A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
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Alexander Dallmann
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114
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From Implicit to Explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users
Quyen Tran
Lam C. Tran
Linh Chu Hai
Ngo Van Linh
Khoat Than
HAI
85
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Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search
Lei-tai Chen
Fajie Yuan
Jiaxi Yang
Min Yang
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71
4
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Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
Liwei Huang
Yutao Ma
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Bohong
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87
60
0
12 Jul 2021
Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation
Gabriel de Souza P. Moreira
Sara Rabhi
Ronay Ak
Md Yasin Kabir
Even Oldridge
93
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0
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Data Optimisation for a Deep Learning Recommender System
Gustav Hertz
Sandhya Sachidanandan
Balázs Tóth
Emil S. Jørgensen
Martin Tegnér
59
1
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Fast Multi-Step Critiquing for VAE-based Recommender Systems
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Diego Antognini
Boi Faltings
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160
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Learning with Group Noise
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Qizhou Wang
Jiangchao Yao
Chen Gong
Tongliang Liu
Biwei Huang
Hongxia Yang
Bo Han
90
11
0
17 Mar 2021
Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
Shaina Raza
Chen Ding
88
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Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021
Xinzhou Dong
Beihong Jin
Wei Zhuo
Beibei Li
Taofeng Xue
61
6
0
10 Mar 2021
Modeling Multi-Destination Trips with Sketch-Based Model
Michal Daniluk
Barbara Rychalska
Konrad Goluchowski
Jacek Dkabrowski
76
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0
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Dynamic Memory based Attention Network for Sequential Recommendation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Qiaoyu Tan
Jianwei Zhang
Ninghao Liu
Xiao Shi Huang
Hongxia Yang
Jingren Zhou
Helen Zhou
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174
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Sparse-Interest Network for Sequential Recommendation
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Qiaoyu Tan
Jianwei Zhang
Jiangchao Yao
Ninghao Liu
Jingren Zhou
Hongxia Yang
Helen Zhou
178
156
0
18 Feb 2021
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels
International Symposium on Spatial and Temporal Databases (SSTD), 2021
Si Chen
Yuqiu Qian
Hui Li
Chen Lin
OffRL
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107
6
0
13 Feb 2021
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
The Web Conference (WWW), 2021
Cheng-Mao Hsu
Cheng-Te Li
109
81
0
29 Jan 2021
Metric Learning for Session-based Recommendations
European Conference on Information Retrieval (ECIR), 2021
Bartlomiej Twardowski
P. Zawistowski
Szymon Zaborowski
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81
6
0
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Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation
Diksha Garg
Priyanka Gupta
Pankaj Malhotra
Lovekesh Vig
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81
9
0
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StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Jiachun Wang
Fajie Yuan
Jian Chen
Qingyao Wu
Min Yang
Yang Sun
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123
27
0
14 Dec 2020
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation
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Aleksandra Burashnikova
Marianne Clausel
Charlotte Laclau
Frack Iutzeller
Yury Maximov
Massih-Reza Amini
53
4
0
12 Dec 2020
Adaptive Neural Architectures for Recommender Systems
Dimitrios Rafailidis
Stefanos Antaris
81
0
0
11 Nov 2020
Session-aware Recommendation: A Surprising Quest for the State-of-the-art
Sara Latifi
Noemi Mauro
Dietmar Jannach
127
48
0
06 Nov 2020
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