[1] |
Zhang H,Yuan E,Guo W,et al.Disentangling past-future modeling in sequential recommendation via dual networks[C]∥Proc of the 31st ACM International Conference on Information & Knowledge Management, 2022:2549-2558.
|
[2] |
Wang S,Hu L,Wang Y,et al.Sequential recommender systems:Challenges,progress and prospects[J].arXiv:2001.04830,2019.
|
[3] |
Chang J,Gao C,Zheng Y,et al.Sequential recommendation with graph neural networks[C]∥Proc of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval,2021:378-387.
|
[4] |
Kang W C,McAuley J.Self-attentive sequential recommendation[C]∥Proc of 2018 IEEE International Conference on Data Mining,2018:197-206.
|
[5] |
Chen J,Wu W,He L.C3SASR:Cheap causal convolutions for self-attentive sequential recommendation[J].arXiv:2211.01297,2022.
|
[6] |
Li J,Wang Y,McAuley J.Time interval aware self-attention for sequential recommendation[C]∥Proc of the 13th International Conference on Web Search and Data Mining,2020:322-330.
|
[7] |
Chen C-F R,Fan Q F,Panda R.CrossViT:Cross-attention multi-scale vision transformer for image classification[C]∥Proc of 2021 IEEE/CVF International Conference on Computer Vision,2021:347-356.
|
[8] |
Cho S M,Park E,Yoo S.MEANTIME:Mixture of attention mechanisms with multi-temporal embeddings for sequential recommendation[C]∥Proc of the 14th ACM Conference on Recommender Systems,2020:515-520.
|
[9] |
Sarwar B,Karypis G,Konstan J,et al.Item-based collaborative filtering recommendation algorithms[C]∥Proc of the 10th International Conference on World Wide Web,2001:285-295.
|
[10] |
Koren Y,Bell R,Volinsky C.Matrix factorization techniques for recommender systems[J].Computer,2009,42(8):30-37.
|
[11] |
Shani G,Heckerman D,Brafman R I,et al.An MDP-based recommender system[J].The Journal of Machine Learning Research,2005,6:1265-1295.
|
[12] |
Hidasi B,Karatzoglou A,Baltrunas L,et al.Session-based recommendations with recurrent neural networks[J].arXiv:1511.06939,2015.
|
[13] |
Tang J X,Wang K.Personalized top-N sequential recommendation via convolutional sequence embedding[C]∥Proc of the 11th ACM International Conference on Web Search and Data Mining,2018:565-573.
|
[14] |
Sun F,Liu J,Wu J,et al.BERT4Rec:Sequential recommendation with bidirectional encoder representations from transformer[C]∥Proc of the 28th ACM International Conference on Information and Knowledge Management,2019:1441-1450.
|
[15] |
Gholami E,Motamedi M,Aravindakshan A.PARSRec:Explainable personalized attention-fused recurrent sequential recommendation using session partial actions[C]∥Proc of the 28th ACM SIGKDD Conference on Knowledge Disco- very and Data Mining, 2022:454-464.
|
[16] |
Du Q H,Yu L Y,Li H,et al.Denoising-oriented deep hierarchical reinforcement learning for next-basket recommendation[C]∥Proc of 2022 IEEE International Conference on Acoustics,Speech and Signal Processing,2022:4093-4097.
|
[17] |
Yao Z Y,Chen X Y,Wang S N,et al.Recommender transformers with behavior pathways[J].arXiv:2206.06804,2022.
|
[18] |
Vaswani A,Shazeer N,Parmar N,et al.Attention is all you need[C]∥Proc of the 31st International Conference on Neural Information Processing Systems, 2017:6000-6010.
|
[19] |
He K M,Zhang X V,Ren S Q,et al.Deep residual learning for image recognition[C]∥Proc of 2016 IEEE Conference on Computer Vision and Pattern Recognition,2016:770-778.
|
[20] |
Ba J L,Kiros J R,Hinton G E.Layer normalization[J].arXiv:1607.06450,2016.
|
[21] |
Srivastava N,Hinton G,Krizhevsky A,et al.Dropout:A simple way to prevent neural networks from overfitting[J].The Journal of Machine Learning Research,2014,15(1):1929-1958.
|
[22] |
McAuley J,Targett C,Shi Q,et al.Image-based recommendations on styles and substitutes[C]∥Proc of the 38th International ACM SIGIR Conference on Research and Deve- lopment in Information Retrieval,2015:43-52.
|
[23] |
Zhou K,Yu H,Zhao W X,et al.Filter-enhanced MLP is all you need for sequential recommendation[C]∥Proc of the ACM Web Conference 2022:2388-2399.
|
[24] |
He X,Liao L,Zhang H,et al.Neural collaborative filtering[C]∥Proc of the 26th International Conference on World Wide Web, 2017:173-182.
|
[25] |
Ma C,Kang P,Liu X.Hierarchical gating networks for sequential recommendation[C]∥Proc of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,2019:825-833.
|