BMLP: behavior-aware MLP for heterogeneous sequential recommendation
Weixin LI, Yuhao WU, Yang LIU, Weike PAN, Zhong MING
BMLP: behavior-aware MLP for heterogeneous sequential recommendation
[1] |
Hidasi B, Karatzoglou A, Baltrunas L, Tikk D. Session-based recommendations with recurrent neural networks. In: Proceedings of the 4th International Conference on Learning Representations. 2016
|
[2] |
Li Z, Zhao H, Liu Q, Huang Z, Mei T, Chen E. Learning from history and present: next-item recommendation via discriminatively exploiting user behaviors. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2018, 1734−1743
|
[3] |
Kang W C, McAuley J. Self-attentive sequential recommendation. In: Proceedings of 2018 IEEE International Conference on Data Mining. 2018, 197−206
|
[4] |
Wu S, Tang Y, Zhu Y, Wang L, Xie X, Tan T. Session-based recommendation with graph neural networks. In: Proceedings of the 33rd AAAI Conference on Artificial Intelligence. 2019, 346−353
|
[5] |
Meng W, Yang D, Xiao Y. Incorporating user micro-behaviors and item knowledge into multi-task learning for session-based recommendation. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2020, 1091−1100
|
[6] |
Jinwei LUO, Mingkai HE, Weike PAN, Zhong MING. BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation. Frontiers of Computer Science, 2023, 17(5): 175336
|
[7] |
Zhuo-Xin ZHAN, Ming-Kai HE, Wei-Ke PAN, Zhong MING. TransRec++: Translation-based sequential recommendation with heterogeneous feedback. Frontiers of Computer Science, 2022, 16(2): 162615
|
[8] |
Sun F, Liu J, Wu J, Pei C, Lin X, Ou W, Jiang P. BERT4Rec: sequential recommendation with bidirectional encoder representations from transformer. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management. 2019, 1441−1450
|
[9] |
Zhou M, Ding Z, Tang J, Yin D. Micro behaviors: a new perspective in E-commerce recommender systems. In: Proceedings of the 11th ACM International Conference on Web Search and Data Mining. 2019, 1441−1450
|
[10] |
Tolstikhin I, Houlsby N, Kolesnikov A, Beyer L, Zhai X, Unterthiner T, Yung J, Steiner A, Keysers D, Uszkoreit J, Lucic M, Dosovitskiy A. MLP-Mixer: an all-MLP architecture for vision. In: Proceedings of the 35th Conference on Neural Information Processing Systems. 2021
|
[11] |
Zhou K, Yu H, Zhao W X, Wen J R. Filter-enhanced MLP is all you need for sequential recommendation. In: Proceedings of the ACM Web Conference 2022. 2022, 2388−2399
|
/
〈 | 〉 |