Fetching the paper…
Reading the bibliography…
Different from most conventional recommendation problems, sequential recommendation focuses on learning users' preferences by exploiting the internal order and dependency among the interacted items, which has received significant attention from both researchers and practitioners.
S3-Rec: Self-supervised learning for sequential recommendation with mutual information maximization
Zhou K, Wang H, Zhao W X, Zhu Y, Wang S, Zhang F, Wang Z, Wen J R · 1902
Earlier work this paper cites.
Using sequential and non-sequential patterns in predictive web usage mining tasks
Mobasher B, Dai H, Luo T, Nakagawa M · 2002
Earlier work this paper cites.
Factorizing personalized Markov chains for next-basket recommendation
Rendle S, Freudenthaler C, Schmidt-Thieme L · 2010
Earlier work this paper cites.
On challenges of evaluating recommender systems in an offline setting
Sun A · 2012
Earlier work this paper cites.
Session-based recommendations with recurrent neural networks
Hidasi B, Karatzoglou A, Baltrunas L, Tikk D · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
He K, Zhang X, Ren S, Sun J · 2016
Earlier work this paper cites.
Parallel recurrent neural network architectures for feature-rich session-based recommendations
Hidasi B, Quadrana M, Karatzoglou A, Tikk D · 2016
Earlier work this paper cites.
Translation-based recommendation
He R, Kang W C, McAuley J · 2017
Earlier work this paper cites.
Collaborative sequence prediction for sequential recommender
Niu S, Zhang R · 2017
Earlier work this paper cites.
Deep reinforcement learning for list-wise recommendations
Zhao X, Zhang L, Xia L, Ding Z, Yin D, Tang J · 2017
Earlier work this paper cites.
Contextual sequence modeling for recommendation with recurrent neural networks
Smirnova E, Vasile F · 2017
Earlier work this paper cites.
Self-attentive sequential recommendation
Kang W C, McAuley J · 2018
Earlier work this paper cites.
Sequence-aware recommender systems
Quadrana M, Cremonesi P, Jannach D · 2018
Earlier work this paper cites.
Recurrent neural networks with top-k gains for session-based recommendations
Hidasi B, Karatzoglou A · 2018
Earlier work this paper cites.
K-plet recurrent neural networks for sequential recommendation
Lin X, Niu S, Wang Y, Li Y · 2018
Earlier work this paper cites.
Personalized top-N sequential recommendation via convolutional sequence embedding
Tang J, Wang K · 2018
Earlier work this paper cites.
Improving sequential recommendation with knowledge-enhanced memory networks
Huang J, Zhao W X, Dou H, Wen J R, Chang E Y · 2018
Earlier work this paper cites.
BERT: Pre-training of deep bidirectional Transformers for language understanding
Kenton J D M W C, Toutanova L K · 2019
Earlier work this paper cites.
CosRec: 2D convolutional neural networks for sequential recommendation
Yan A, Cheng S, Kang W C, Wan M, McAuley J · 2019
Earlier work this paper cites.
BERT4Rec: Sequential recommendation with bidirectional encoder representations from Transformer
Sun F, Liu J, Wu J, Pei C, Lin X, Ou W, Jiang P · 2019
Earlier work this paper cites.
Sequential variational autoencoders for collaborative filtering
Sachdeva N, Manco G, Ritacco E, Pudi V · 2019
Earlier work this paper cites.
Hierarchical temporal convolutional networks for dynamic recommender systems
You J, Wang Y, Pal A, Eksombatchai P, Rosenburg C, Leskovec J · 2019
Earlier work this paper cites.
Towards accurate and interpretable sequential prediction: A CNN & attention-based feature extractor
Wang J, Liu Q, Liu Z, Wu S · 2019
Earlier work this paper cites.
Recurrent convolutional neural network for sequential recommendation
Xu C, Zhao P, Liu Y, Xu J, S. Sheng V S S, Cui Z, Zhou X, Xiong H · 2019
Earlier work this paper cites.
Towards neural mixture recommender for long range dependent user sequences
Tang J, Belletti F, Jain S, Chen M, Beutel A, Xu C, H. Chi E · 2019
Earlier work this paper cites.
Explainable interaction-driven user modeling over knowledge graph for sequential recommendation
Huang X, Fang Q, Qian S, Sang J, Li Y, Xu C · 2019
Earlier work this paper cites.
A review-driven neural model for sequential recommendation
Li C, Niu X, Luo X, Chen Z, Quan C · 2019
Earlier work this paper cites.
Feature-level deeper self-attention network for sequential recommendation
Zhang T, Zhao P, Liu Y, Sheng V S, Xu J, Wang D, Liu G, Zhou X · 2019
Earlier work this paper cites.
Context-aware sequential recommendations withstacked recurrent neural networks
Rakkappan L, Rajan V · 2019
Earlier work this paper cites.
R-RNN: Extracting user recent behavior sequence for click-through rate prediction
Gan M, Xiao K · 2019
Earlier work this paper cites.
Practice on long sequential user behavior modeling for click-through rate prediction
Pi Q, Bian W, Zhou G, Zhu X, Gai K · 2019
Earlier work this paper cites.
Lifelong sequential modeling with personalized memorization for user response prediction
Ren K, Qin J, Fang Y, Zhang W, Zheng L, Bian W, Zhou G, Xu J, Yu Y, Zhu X, others · 2019
Earlier work this paper cites.
Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction
Pi Q, Zhou G, Zhang Y, Wang Z, Ren L, Fan Y, Zhu X, Gai K · 2020
Earlier work this paper cites.
Deep learning for sequential recommendation: Algorithms, influential factors, and evaluations
Fang H, Zhang D, Shu Y, Guo G · 2020
Earlier work this paper cites.
Sequential recommendation with self-attentive multi-adversarial network
Ren R, Liu Z, Li Y, Zhao W X, Wang H, Ding B, Wen J R · 2020
Earlier work this paper cites.
SSE-PT: Sequential recommendation via personalized Transformer
Wu L, Li S, Hsieh C J, Sharpnack J · 2020
Earlier work this paper cites.
Time interval aware self-attention for sequential recommendation
Li J, Wang Y, McAuley J · 2020
Earlier work this paper cites.
Next-item recommendation with sequential hypergraphs
Wang J, Ding K, Hong L, Liu H, Caverlee J · 2020
Earlier work this paper cites.
Adaptive hierarchical translation-based sequential recommendation
Zhang Y, He Y, Wang J, Caverlee J · 2020
Earlier work this paper cites.
KERL: A knowledge-guided reinforcement learning model for sequential recommendation
Wang P, Fan Y, Xia L, Zhao W X, Niu S, Huang J · 2020
Earlier work this paper cites.
User behavior retrieval for click-through rate prediction
Qin J, Zhang W, Wu X, Jin J, Fang Y, Yu Y · 2020
Earlier work this paper cites.
ICAT-SR: Item categorical attribute integrated sequential recommendation
Yuan X, Duan D, Tong L, Shi L, Zhang C · 2021
Earlier work this paper cites.
Noninvasive self-attention for side information fusion in sequential recommendation
Liu C, Li X, Cai G, Dong Z, Zhu H, Shang L · 2021
Earlier work this paper cites.
A survey on session-based recommender systems
Wang S, Cao L, Wang Y, Sheng Q Z, Orgun M A, Lian D · 2021
Earlier work this paper cites.
Extracting attentive social temporal excitation for sequential recommendation
Li Y, Ding Y, Chen B, Xin X, Wang Y, Shi Y, Tang R, Wang D · 2021
Earlier work this paper cites.
Motif-aware sequential recommendation
Cui Z, Cai Y, Wu S, Ma X, Wang L · 2021
Earlier work this paper cites.
Modeling sequences as distributions with uncertainty for sequential recommendation
Fan Z, Liu Z, Wang S, Zheng L, Yu P S · 2021
Earlier work this paper cites.
Transformers4Rec: Bridging the gap between nlp and sequential/session-based recommendation
Souza Pereira Moreira d G, Rabhi S, Lee J M, Ak R, Oldridge E · 2021
Earlier work this paper cites.
Leveraging two types of global graph for sequential fashion recommendation
Ding Y, Ma Y, Wong W K, Chua T S · 2021
Earlier work this paper cites.
Sequence adaptation via reinforcement learning in recommender systems
Antaris S, Rafailidis D · 2021
Earlier work this paper cites.
Learning from substitutable and complementary relations for graph-based sequential product recommendation
Zhang W, Chen Z, Zha H, Wang J · 2021
Earlier work this paper cites.
Learning heterogeneous temporal patterns of user preference for timely recommendation
Cho J, Hyun D, Kang S, Yu H · 2021
Earlier work this paper cites.
Learning dual dynamic representations on time-sliced user-item interaction graphs for sequential recommendation
Chen Z, Zhang W, Yan J, Wang G, Wang J · 2021
Earlier work this paper cites.
Continuous-time sequential recommendation with temporal graph collaborative Transformer
Fan Z, Liu Z, Zhang J, Xiong Y, Zheng L, Yu P S · 2021
Earlier work this paper cites.
Transformer-based rating-aware sequential recommendation
Li Y, Li Q, Meng S, Hou J · 2021
Earlier work this paper cites.
An efficient and effective framework for session-based social recommendation
Chen T, Wong R C W · 2021
Earlier work this paper cites.
Improving current interest with item and review sequential patterns for sequential recommendation
Zhang J, Mu X, Zhao P, Kang K, Ma C · 2021
Earlier work this paper cites.
RetaGNN: Relational temporal attentive graph neural networks for holistic sequential recommendation
Hsu C, Li C T · 2021
Earlier work this paper cites.
Augmenting sequential recommendation with pseudo-prior items via reversely pre-training Transformer
Liu Z, Fan Z, Wang Y, Yu P S · 2021
Earlier work this paper cites.
Towards universal sequence representation learning for recommender systems
Hou Y, Mu S, Zhao W X, Li Y, Ding B, Wen J R · 2022
Earlier work this paper cites.
Contrastive learning for sequential recommendation
Xie X, Sun F, Liu Z, Wu S, Gao J, Zhang J, Ding B, Cui B · 2022
Earlier work this paper cites.
Decoupled side information fusion for sequential recommendation
Xie Y, Zhou P, Kim S · 2022
Earlier work this paper cites.
Double attention convolutional neural network for sequential recommendation
Chen Q, Li G, Zhou Q, Shi S, Zou D · 2022
Earlier work this paper cites.
A systematic review and replicability study of bert4rec for sequential recommendation
Petrov A, Macdonald C · 2022
Earlier work this paper cites.
Contrastive learning with bidirectional Transformers for sequential recommendation
Du H, Shi H, Zhao P, Wang D, Sheng V S, Liu Y, Liu G, Zhao L · 2022
Earlier work this paper cites.
Dually enhanced propensity score estimation in sequential recommendation
Xu C, Xu J, Chen X, Dong Z, Wen J R · 2022
Earlier work this paper cites.
Filter-enhanced MLP is all you need for sequential recommendation
Zhou K, Yu H, Zhao W X, Wen J R · 2022
Cited alongside, same era.
Gating augmented capsule network for sequential recommendation
Zhang Q, Wu B, Sun Z, Ye Y · 2022
Cited alongside, same era.
Time-aware multi-interest capsule network for sequential recommendation
Wang Z, Shen Y · 2022
Cited alongside, same era.
Learning to learn a cold-start sequential recommender
Huang X, Sang J, Yu J, Xu C · 2022
Cited alongside, same era.
Cross-domain self-attentive sequential recommendations
Alharbi N, Caragea D · 2022
Cited alongside, same era.
Contrastive cross-domain sequential recommendation
Cao J, Cong X, Sheng J, Liu T, Wang B · 2022
Cited alongside, same era.
TWIN: Two-stage interest network for lifelong user behavior modeling in CTR prediction at KuaiShou
Chang J, Zhang C, Fu Z, Zang X, Guan L, Lu J, Hui Y, Leng D, Niu Y, Song Y, others · 2023
Later among the works it cites.
LinRec: Linear attention mechanism for long-term sequential recommender systems
Liu L, Cai L, Zhang C, Zhao X, Gao J, Wang W, Lv Y, Fan W, Wang Y, He M, others · 2023
Later among the works it cites.
Query-dominant user interest network for large-scale search ranking
Guo T, Li X, Yang H, Liang X, Yuan Y, Hou J, Ke B, Zhang C, He J, Zhang S, others · 2023
Later among the works it cites.
Uniform sequence better: Time interval aware data augmentation for sequential recommendation
Dang Y, Yang E, Guo G, Jiang L, Wang X, Xu X, Sun Q, Liu H · 2023
Later among the works it cites.
Mutual Wasserstein discrepancy minimization for sequential recommendation
Fan Z, Liu Z, Peng H, Yu P S · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Multi-behavior sequential Transformer recommender
Yuan E, Guo W, He Z, Guo H, Liu C, Tang R · 2022
Cited alongside, same era.
DDGHM: Dual dynamic graph with hybrid metric training for cross-domain sequential recommendation
Zheng X, Su J, Liu W, Chen C · 2022
Cited alongside, same era.
Price does matter! modeling price and interest preferences in session-based recommendation
Zhang X, Xu B, Yang L, Li C, Ma F, Liu H, Lin H · 2022
Cited alongside, same era.
Sequential intention-aware recommender based on user interaction graph
Chen J, Cao Y, Zhang F, Sun P, Wei K · 2022
Cited alongside, same era.
MLP4Rec: A pure MLP architecture for sequential recommendations
Li M, Zhao X, Lyu C, Zhao M, Wu R, Guo R · 2022
Cited alongside, same era.
A new sequential prediction framework with spatial-temporal embedding
Zhang J, Lin F, Yang C, Jiang W · 2022
Cited alongside, same era.
GenRec: Large language model for generative recommendation
Ji J, Li Z, Xu S, Hua W, Ge Y, Tan J, Zhang Y · 2024
Closest in time.
Improving sequential recommendations with LLMs
Boz A, Zorgdrager W, Kotti Z, Harte J, Louridas P, Jannach D, Fragkoulis M · 2024
Closest in time.
Graph and sequential neural networks in session-based recommendation: A survey
Li Z, Yang C, Chen Y, Wang X, Chen H, Xu G, Yao L, Sheng M · 2024
Closest in time.
A survey of sequential recommendation systems: Techniques, evaluation, and future directions
Boka T F, Niu Z, Neupane R B · 2024
Closest in time.
A survey on cross-domain sequential recommendation
Chen S, Xu Z, Pan W, Yang Q, Ming Z · 2024
Closest in time.
A survey on data-centric recommender systems
Lai R, Chen L, Chen R, Zhang C · 2024
Closest in time.
Side information-driven session-based recommendation: A survey
Zhang X, Xu B, Li C, Zhou Y, Li L, Lin H · 2024
Closest in time.
Sequential recommendation for optimizing both immediate feedback and long-term retention
Liu Z, Liu S, Zhang Z, Cai Q, Zhao X, Zhao K, Hu L, Jiang P, Gai K · 2024
Closest in time.
Causality-driven user modeling for sequential recommendations over time
Chen X, Li Q · 2024
Closest in time.
TriMLP: A foundational MLP-like architecture for sequential recommendation
Jiang Y, Xu Y, Yang Y, Yang F, Wang P, Li C, Zhuang F, Xiong H · 2024
Closest in time.
Learning global and multi-granularity local representation with MLP for sequential recommendation
Long C, Yuan H, Fang J, Xian X, Liu G, Sheng V S, Zhao P · 2024
Closest in time.
End-to-end graph-sequential representation learning for accurate recommendations
Baikalov V, Frolov E · 2024
Closest in time.
Learning neighbor user intention on user–item interaction graphs for better sequential recommendation
Yu M, Zhu K, Zhao M, Yu J, Xu T, Jin D, Li X, Yu R · 2024
Closest in time.
Triple sequence learning for cross-domain recommendation
Ma H, Xie R, Meng L, Chen X, Zhang X, Lin L, Zhou J · 2024
Closest in time.
Global heterogeneous graph and target interest denoising for multi-behavior sequential recommendation
Li X, Chen H, Yu J, Zhao M, Xu T, Zhang W, Yu M · 2024
Closest in time.
User behavior enriched temporal knowledge graphs for sequential recommendation
Hu H, Guo W, Liu X, Liu Y, Tang R, Zhang R, Kan M Y · 2024
Closest in time.
SMLP4Rec: An efficient all-MLP architecture for sequential recommendations
Gao J, Zhao X, Li M, Zhao M, Wu R, Guo R, Liu Y, Yin D · 2024
Closest in time.
Aligned side information fusion method for sequential recommendation
Wang S, Shen B, Min X, He Y, Zhang X, Zhang L, Zhou J, Mo L · 2024
Closest in time.
Dynamic bi-layer graph learning for context-aware sequential recommendation
Zhou X, Lumbantoruan R, Ren Y, Chen L, Yang X, Shao J · 2024
Closest in time.
Search-based time-aware graph-enhanced recommendation with sequential behavior data
Zheng L, Chai H, Chen X, Jin J, Zhang W, Yu Y, Guo X, Ge C, Feng Z · 2024
Closest in time.
Ninerec: A benchmark dataset suite for evaluating transferable recommendation
Zhang J, Cheng Y, Ni Y, Pan Y, Yuan Z, Fu J, Li Y, Wang J, Yuan F · 2024
Closest in time.
The elephant in the room: Rethinking the usage of pre-trained language model in sequential recommendation
Qu Z, Xie R, Xiao C, Sun X, Kang Z · 2024
Closest in time.
Scaling sequential recommendation models with Transformers
Zivic P, Vazquez H, Sánchez J · 2024
Closest in time.
Recommender systems with generative retrieval
Rajput S, Mehta N, Singh A, Hulikal Keshavan R, Vu T, Heldt L, Hong L, Tay Y, Tran V, Samost J, others · 2024
Closest in time.
Multi-behavior generative recommendation
Liu Z, Hou Y, McAuley J · 2024
Closest in time.
Learnable item tokenization for generative recommendation
Wang W, Bao H, Lin X, Zhang J, Li Y, Feng F, Ng S K, Chua T S · 2024
Closest in time.
EAGER: Two-stream generative recommender with behavior-semantic collaboration
Wang Y, Xun J, Hong M, Zhu J, Jin T, Lin W, Li H, Li L, Xia Y, Zhao Z, others · 2024
Closest in time.
CoST: Contrastive quantization based semantic tokenization for generative recommendation
Zhu J, Jin M, Liu Q, Qiu Z, Dong Z, Li X · 2024
Closest in time.
MMGRec: Multimodal generative recommendation with Transformer model
Liu H, Wei Y, Song X, Guan W, Li Y F, Nie L · 2024
Closest in time.
Inductive generative recommendation via retrieval-based speculation
Ding Y, Hou Y, Li J, McAuley J · 2024
Closest in time.
Rethinking large language model architectures for sequential recommendations
Wang H, Liu X, Fan W, Zhao X, Kini V, Yadav D, Wang F, Wen Z, Tang J, Liu H · 2024
Closest in time.
Can small language models be good reasoners for sequential recommendation?
Wang Y, Tian C, Hu B, Yu Y, Liu Z, Zhang Z, Zhou J, Pang L, Wang X · 2024
Closest in time.
Harnessing large language models for text-rich sequential recommendation
Zheng Z, Chao W, Qiu Z, Zhu H, Xiong H · 2024
Closest in time.
Distillation matters: Empowering sequential recommenders to match the performance of large language model
Cui Y, Liu F, Wang P, Wang B, Tang H, Wan Y, Wang J, Chen J · 2024
Closest in time.
Shen T, Wang H, Zhang J, Zhao S, Li L, Chen Z, Lian D, Chen E · 2024
Closest in time.
Enhancing sequential recommenders with augmented knowledge from aligned large language models
Ren Y, Chen Z, Yang X, Li L, Jiang C, Cheng L, Zhang B, Mo L, Zhou J · 2024
Closest in time.
Enhancing sequential recommendation via LLM-based semantic embedding learning
Hu J, Xia W, Zhang X, Fu C, Wu W, Huan Z, Li A, Tang Z, Zhou J · 2024
Closest in time.
LLM4DSR: Leveraing large language model for denoising sequential recommendation
Wang B, Liu F, Chen J, Wu Y, Lou X, Wang J, Feng Y, Chen C, Wang C · 2024
Closest in time.
SLMRec: Distilling large language models into small for sequential recommendation
Xu W, Wu Q, Liang Z, Han J, Ning X, Shi Y, Lin W, Zhang Y · 2024
Closest in time.
LLMEmb: Large language model can be a good embedding generator for sequential recommendation
Liu Q, Wu X, Wang W, Wang Y, Zhu Y, Zhao X, Tian F, Zheng Y · 2024
Closest in time.
A large language model enhanced sequential recommender for joint video and comment recommendation
Zheng B, Lin Z, Liu E, Yang C, Bai E, Ling C, Zhao W X, Wen J R · 2024
Closest in time.
Large language models enhanced sequential recommendation for long-tail user and item
Liu Q, Wu X, Zhao X, Wang Y, Zhang Z, Tian F, Zheng Y · 2024
Closest in time.
FineRec: Exploring fine-grained sequential recommendation
Zhang X, Xu B, Wu Y, Zhong Y, Lin H, Ma F · 2024
Closest in time.
Sequential recommendation with latent relations based on large language model
Yang S, Ma W, Sun P, Ai Q, Liu Y, Cai M, Zhang M · 2024
Closest in time.
Rella: Retrieval-enhanced large language models for lifelong sequential behavior comprehension in recommendation
Lin J, Shan R, Zhu C, Du K, Chen B, Quan S, Tang R, Yu Y, Zhang W · 2024
Closest in time.
Lifelong personalized low-rank adaptation of large language models for recommendation
Zhu J, Lin J, Dai X, Chen B, Shan R, Zhu J, Tang R, Yu Y, Zhang W · 2024
Closest in time.
Breaking the length barrier: LLM-enhanced CTR prediction in long textual user behaviors
Geng B, Huan Z, Zhang X, He Y, Zhang L, Yuan F, Zhou J, Mo L · 2024
Closest in time.
TWIN V2: Scaling ultra-long user behavior sequence modeling for enhanced CTR prediction at KuaiShou
Si Z, Guan L, Sun Z, Zang X, Lu J, Hui Y, Cao X, Yang Z, Zheng Y, Leng D, others · 2024
Closest in time.
Context-based fast recommendation strategy for long user behavior sequence in meituan waimai
Feng Z, Xie J, Li K, Qin Y, Wang P, Li Q, Yin B, Li X, Lin W, Wang S · 2024
Closest in time.
Cross-domain lifelong sequential modeling for online click-through rate prediction
Hou R, Yang Z, Ming Y, Lu H, Zheng Z, Chen Y, Zeng Q, Chen M · 2024
Closest in time.
Linear recurrent units for sequential recommendation
Yue Z, Wang Y, He Z, Zeng H, McAuley J, Wang D · 2024
Closest in time.
Shen K, Ding X, Zheng Z, Gong Y, Li Q, Liu Z, Zhang G · 2024
Closest in time.
Temporal graph contrastive learning for sequential recommendation
Zhang S, Chen L, Wang C, Li S, Xiong H · 2024
Closest in time.
Dataset regeneration for sequential recommendation
Yin M, Wang H, Guo W, Liu Y, Zhang S, Zhao S, Lian D, Chen E · 2024
Closest in time.
A generic behavior-aware data augmentation framework for sequential recommendation
Xiao J, Pan W, Ming Z · 2024
Closest in time.
Efficient noise-decoupling for multi-behavior sequential recommendation
Han Y, Wang H, Wang K, Wu L, Li Z, Guo W, Liu Y, Lian D, Chen E · 2024
Closest in time.
Does it look sequential? an analysis of datasets for evaluation of sequential recommendations
Klenitskiy A, Volodkevich A, Pembek A, Vasilev A · 2024
Closest in time.
LLMCDSR: Enhancing cross-domain sequential recommendation with large language models
Xin H, Sun Y, Wang C, Xiong H · 2025
Closest in time.
Progressive self-attention network with unsymmetrical positional encoding for sequential recommendation
Zhu Y, Huang B, Jiang S, Yang M, Yang Y, Zhong W · 2033
Closest in time.
Sequential recommendation via stochastic self-attention
Fan Z, Liu Z, Wang Y, Wang A, Nazari Z, Zheng L, Peng H, Yu P S · 2047
Closest in time.