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Recurrent Neural Networks with Top-k Gains for Session-based
  Recommendations
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations"

50 / 203 papers shown
Title
A Systematic Review and Replicability Study of BERT4Rec for Sequential
  Recommendation
A Systematic Review and Replicability Study of BERT4Rec for Sequential RecommendationACM Conference on Recommender Systems (RecSys), 2022
Aleksandr V. Petrov
Craig Macdonald
129
59
0
15 Jul 2022
Sequential Recommendation Model for Next Purchase Prediction
Sequential Recommendation Model for Next Purchase Prediction
Xin Chen
Alex Reibman
Sanjay Arora
94
6
0
06 Jul 2022
Effective and Efficient Training for Sequential Recommendation using
  Recency Sampling
Effective and Efficient Training for Sequential Recommendation using Recency SamplingACM Conference on Recommender Systems (RecSys), 2022
Aleksandr V. Petrov
Craig Macdonald
183
30
0
06 Jul 2022
Positive, Negative and Neutral: Modeling Implicit Feedback in
  Session-based News Recommendation
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News RecommendationAnnual 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
PinnerFormer: Sequence Modeling for User Representation at PinterestKnowledge Discovery and Data Mining (KDD), 2022
Nikil Pancha
Andrew Zhai
J. Leskovec
Charles R. Rosenberg
AI4TS
204
52
0
09 May 2022
Price DOES Matter! Modeling Price and Interest Preferences in
  Session-based Recommendation
Price DOES Matter! Modeling Price and Interest Preferences in Session-based RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Xiaokun Zhang
Bo Xu
Liang Yang
Chenliang Li
Fenglong Ma
Haifeng Liu
Hongfei Lin
80
69
0
09 May 2022
FairSR: Fairness-aware Sequential Recommendation through Multi-Task
  Learning with Preference Graph Embeddings
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph EmbeddingsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
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
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena GamesThe 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
Determinantal Point Process Likelihoods for Sequential RecommendationAnnual 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
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
AI4TSLRMSSL
115
3
0
21 Apr 2022
CARCA: Context and Attribute-Aware Next-Item Recommendation via
  Cross-Attention
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-AttentionACM 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
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce SearchWeb 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
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)
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
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary GraphThe Web Conference (WWW), 2022
Ruijie Wang
Zheng Li
Danqing Zhang
Qingyu Yin
Tong Zhao
Bing Yin
Tarek Abdelzaher
AI4TS
108
26
0
12 Feb 2022
Efficiently Maintaining Next Basket Recommendations under Additions and
  Deletions of Baskets and Items
Efficiently Maintaining Next Basket Recommendations under Additions and Deletions of Baskets and Items
Benjamin Longxiang Wang
Sebastian Schelter
96
7
0
27 Jan 2022
On the Overlooked Significance of Underutilized Contextual Features in
  Recent News Recommendation Models
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
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
DiPS: Differentiable Policy for Sketching in Recommender Systems
Aritra Ghosh
Saayan Mitra
Andrew Lan
BDLOffRL
102
3
0
08 Dec 2021
Reinforcement Learning based Path Exploration for Sequential Explainable
  Recommendation
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Yicong Li
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
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain RecommendationWeb 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
TEA: A Sequential Recommendation Framework via Temporally Evolving AggregationsIEEE 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
Improving Next-Application Prediction with Deep Personalized-Attention Neural NetworkInternational Conference on Machine Learning and Applications (ICMLA), 2021
Jun Zhu
Gautier Viaud
C´eline Hudelot
HAI
67
4
0
09 Nov 2021
Choosing the Best of Both Worlds: Diverse and Novel Recommendations
  through Multi-Objective Reinforcement Learning
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement LearningWeb Search and Data Mining (WSDM), 2021
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
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based RecommendationAAAI 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
HyperTeNet: Hypergraph and Transformer-based Neural Network for Personalized List Continuation
M. Vijaikumar
Deepesh V. Hada
S. Shevade
90
5
0
04 Oct 2021
Dynamic Sequential Graph Learning for Click-Through Rate Prediction
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
Causal Incremental Graph Convolution for Recommender System Retraining
Sihao Ding
Fuli Feng
Xiangnan He
Yong Liao
Jun Shi
Yongdong Zhang
CMLCLLBDLGNN
152
42
0
16 Aug 2021
Sequence Adaptation via Reinforcement Learning in Recommender Systems
Sequence Adaptation via Reinforcement Learning in Recommender SystemsACM Conference on Recommender Systems (RecSys), 2021
Stefanos Antaris
Dimitrios Rafailidis
70
8
0
31 Jul 2021
A Case Study on Sampling Strategies for Evaluating Neural Sequential
  Item Recommendation Models
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation ModelsACM Conference on Recommender Systems (RecSys), 2021
Alexander Dallmann
Daniel Zoller
Andreas Hotho
114
68
0
27 Jul 2021
From Implicit to Explicit feedback: A deep neural network for modeling
  sequential behaviours and long-short term preferences of online users
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
15
0
26 Jul 2021
Scene-adaptive Knowledge Distillation for Sequential Recommendation via
  Differentiable Architecture Search
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search
Lei-tai Chen
Fajie Yuan
Jiaxi Yang
Min Yang
Chengming Li
71
4
0
15 Jul 2021
Position-enhanced and Time-aware Graph Convolutional Network for
  Sequential Recommendations
Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
Liwei Huang
Yutao Ma
Yanbo Liu
Bohong
Du
Shuliang Wang
Deyi Li
GNN
87
60
0
12 Jul 2021
Transformers with multi-modal features and post-fusion context for
  e-commerce session-based recommendation
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
31
0
11 Jul 2021
Data Optimisation for a Deep Learning Recommender System
Data Optimisation for a Deep Learning Recommender System
Gustav Hertz
Sandhya Sachidanandan
Balázs Tóth
Emil S. Jørgensen
Martin Tegnér
59
1
0
21 Jun 2021
Fast Multi-Step Critiquing for VAE-based Recommender Systems
Fast Multi-Step Critiquing for VAE-based Recommender SystemsACM Conference on Recommender Systems (RecSys), 2021
Diego Antognini
Boi Faltings
LRM
160
18
0
03 May 2021
Learning with Group Noise
Learning with Group NoiseAAAI Conference on Artificial Intelligence (AAAI), 2021
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
Deep Dynamic Neural Network to trade-off between Accuracy and Diversity in a News Recommender System
Shaina Raza
Chen Ding
88
7
0
15 Mar 2021
Improving Sequential Recommendation with Attribute-augmented Graph
  Neural Networks
Improving Sequential Recommendation with Attribute-augmented Graph Neural NetworksPacific-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
Modeling Multi-Destination Trips with Sketch-Based Model
Michal Daniluk
Barbara Rychalska
Konrad Goluchowski
Jacek Dkabrowski
76
5
0
22 Feb 2021
Dynamic Memory based Attention Network for Sequential Recommendation
Dynamic Memory based Attention Network for Sequential RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2021
Qiaoyu Tan
Jianwei Zhang
Ninghao Liu
Xiao Shi Huang
Hongxia Yang
Jingren Zhou
Helen Zhou
HAI
174
71
0
18 Feb 2021
Sparse-Interest Network for Sequential Recommendation
Sparse-Interest Network for Sequential RecommendationWeb Search and Data Mining (WSDM), 2021
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
Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User LevelsInternational Symposium on Spatial and Temporal Databases (SSTD), 2021
Si Chen
Yuqiu Qian
Hui Li
Chen Lin
OffRLLRM
107
6
0
13 Feb 2021
RetaGNN: Relational Temporal Attentive Graph Neural Networks for
  Holistic Sequential Recommendation
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential RecommendationThe Web Conference (WWW), 2021
Cheng-Mao Hsu
Cheng-Te Li
109
81
0
29 Jan 2021
Metric Learning for Session-based Recommendations
Metric Learning for Session-based RecommendationsEuropean Conference on Information Retrieval (ECIR), 2021
Bartlomiej Twardowski
P. Zawistowski
Szymon Zaborowski
DML
81
6
0
07 Jan 2021
Batch-Constrained Distributional Reinforcement Learning for
  Session-based Recommendation
Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation
Diksha Garg
Priyanka Gupta
Pankaj Malhotra
Lovekesh Vig
Gautam M. Shroff
OffRL
81
9
0
16 Dec 2020
StackRec: Efficient Training of Very Deep Sequential Recommender Models
  by Iterative Stacking
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative StackingAnnual 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
Guoxiao Zhang
BDL
123
27
0
14 Dec 2020
Learning over no-Preferred and Preferred Sequence of items for Robust
  Recommendation
Learning over no-Preferred and Preferred Sequence of items for Robust RecommendationJournal of Artificial Intelligence Research (JAIR), 2020
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
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
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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