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A Systematic Review and Replicability Study of BERT4Rec for Sequential
  Recommendation

A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation

15 July 2022
Aleksandr V. Petrov
Craig Macdonald
ArXivPDFHTML

Papers citing "A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation"

35 / 35 papers shown
Title
Data Watermarking for Sequential Recommender Systems
Data Watermarking for Sequential Recommender Systems
Sixiao Zhang
Cheng Long
Wei Yuan
Hongxu Chen
Hongzhi Yin
91
0
0
20 Nov 2024
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
Elisabeth Fischer
Albin Zehe
Andreas Hotho
Daniel Schlor
HAI
86
0
0
28 Aug 2024
Effective and Efficient Training for Sequential Recommendation using
  Recency Sampling
Effective and Efficient Training for Sequential Recommendation using Recency Sampling
Aleksandr V. Petrov
Craig Macdonald
44
28
0
06 Jul 2022
What is Next when Sequential Prediction Meets Implicitly Hard
  Interaction?
What is Next when Sequential Prediction Meets Implicitly Hard Interaction?
Kaixi Hu
Lin Li
Qing Xie
Jianquan Liu
Xiaohui Tao
39
19
0
14 Feb 2022
RecGURU: Adversarial Learning of Generalized User Representations for
  Cross-Domain Recommendation
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
Chenglin Li
Mingjun Zhao
Huanming Zhang
Chenyun Yu
Lei Cheng
Guoqiang Shu
Beibei Kong
Di Niu
48
66
0
19 Nov 2021
Extracting Attentive Social Temporal Excitation for Sequential
  Recommendation
Extracting Attentive Social Temporal Excitation for Sequential Recommendation
Yunzhe Li
Yue Ding
Bo Chen
Xin Xin
Yule Wang
Yuxiang Shi
Ruiming Tang
Dong Wang
AI4TS
32
15
0
28 Sep 2021
Black-Box Attacks on Sequential Recommenders via Data-Free Model
  Extraction
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction
Zhenrui Yue
Zhankui He
Huimin Zeng
Julian McAuley
MLAU
AAML
24
65
0
01 Sep 2021
Lightweight Self-Attentive Sequential Recommendation
Lightweight Self-Attentive Sequential Recommendation
Yang Li
Tong Chen
Pengfei Zhang
Hongzhi Yin
HAI
AI4TS
30
104
0
25 Aug 2021
Continuous-Time Sequential Recommendation with Temporal Graph
  Collaborative Transformer
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Ziwei Fan
Zhiwei Liu
Jiawei Zhang
Yun Xiong
Lei Zheng
Philip S. Yu
38
189
0
14 Aug 2021
Contrastive Self-supervised Sequential Recommendation with Robust
  Augmentation
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
Zhiwei Liu
Yong-Guang Chen
Jia Li
Philip S. Yu
Julian McAuley
Caiming Xiong
25
165
0
14 Aug 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 Models
Alexander Dallmann
Daniel Zoller
Andreas Hotho
21
57
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
27
13
0
26 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
37
54
0
12 Jul 2021
Augmenting Sequential Recommendation with Pseudo-Prior Items via
  Reversely Pre-training Transformer
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Zhiwei Liu
Ziwei Fan
Yu Wang
Philip S. Yu
124
146
0
02 May 2021
Attention-based neural re-ranking approach for next city in trip
  recommendations
Attention-based neural re-ranking approach for next city in trip recommendations
A. Petrov
Yuriy S. Makarov
18
8
0
23 Mar 2021
Knowledge Transfer via Pre-training for Recommendation: A Review and
  Prospect
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect
Zheni Zeng
Chaojun Xiao
Yuan Yao
Ruobing Xie
Zhiyuan Liu
Fen Lin
Leyu Lin
Maosong Sun
VLM
45
40
0
19 Sep 2020
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings
  for Sequential Recommendation
MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation
S. Cho
Eunhyeok Park
S. Yoo
AI4TS
22
69
0
19 Aug 2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with
  Mutual Information Maximization
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou
Haibo Wang
Wayne Xin Zhao
Yutao Zhu
Sirui Wang
Fuzheng Zhang
Zhongyuan Wang
Ji-Rong Wen
83
804
0
18 Aug 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He
Xiaodong Liu
Jianfeng Gao
Weizhu Chen
AAML
100
2,682
0
05 Jun 2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale
  Recommender Systems
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Chang Zhou
Jianxin Ma
Jianwei Zhang
Jingren Zhou
Hongxia Yang
58
145
0
20 May 2020
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
268
6,420
0
26 Sep 2019
On Model Stability as a Function of Random Seed
On Model Stability as a Function of Random Seed
Pranava Madhyastha
Dhruv Batra
74
62
0
23 Sep 2019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural
  Recommendation Approaches
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
Maurizio Ferrari Dacrema
Paolo Cremonesi
Dietmar Jannach
38
580
0
16 Jul 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
BDL
HAI
130
2,129
0
14 Apr 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
VLM
SSL
SSeg
966
93,936
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
51
1,682
0
19 Sep 2018
Self-Attentive Sequential Recommendation
Self-Attentive Sequential Recommendation
Wang-Cheng Kang
Julian McAuley
HAI
BDL
105
2,390
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
45
549
0
15 Aug 2018
Variational Autoencoders for Collaborative Filtering
Variational Autoencoders for Collaborative Filtering
Dawen Liang
Rahul G. Krishnan
Matthew D. Hoffman
Tony Jebara
BDL
128
1,222
0
16 Feb 2018
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
36
826
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
453
129,831
0
12 Jun 2017
Yelp Dataset Challenge: Review Rating Prediction
Yelp Dataset Challenge: Review Rating Prediction
Nabiha Asghar
32
167
0
17 May 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with
  One-Class Collaborative Filtering
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Ruining He
Julian McAuley
98
2,048
0
04 Feb 2016
Session-based Recommendations with Recurrent Neural Networks
Session-based Recommendations with Recurrent Neural Networks
Balázs Hidasi
Alexandros Karatzoglou
L. Baltrunas
D. Tikk
52
2,055
0
21 Nov 2015
BPR: Bayesian Personalized Ranking from Implicit Feedback
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
104
5,696
0
09 May 2012
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