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Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

邮发代号 80-970

2019 Impact Factor: 1.275

Frontiers of Computer Science  2024, Vol. 18 Issue (3): 183341   https://doi.org/10.1007/s11704-023-2703-y
  本期目录
BMLP: behavior-aware MLP for heterogeneous sequential recommendation
Weixin LI1, Yuhao WU1, Yang LIU1, Weike PAN1(), Zhong MING1,2
1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
2. Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen 518123, China
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收稿日期: 2022-11-20      出版日期: 2024-01-08
Corresponding Author(s): Weike PAN   
 引用本文:   
. [J]. Frontiers of Computer Science, 2024, 18(3): 183341.
Weixin LI, Yuhao WU, Yang LIU, Weike PAN, Zhong MING. BMLP: behavior-aware MLP for heterogeneous sequential recommendation. Front. Comput. Sci., 2024, 18(3): 183341.
 链接本文:  
https://academic.hep.com.cn/fcs/CN/10.1007/s11704-023-2703-y
https://academic.hep.com.cn/fcs/CN/Y2024/V18/I3/183341
Fig.1  
Dataset Metric GRU4Rec[1] SRGNN[4] BERT4Rec[8] SASRec[3] RIB[9] BINN[2] MSR[5] MLP-Mixer[10] FMLP[11] BMLP
Rec15 HR@10 0.437 0.483 0.389 0.437 0.387 0.468 0.605 0.478 0.541 0.618
NDCG@10 0.249 0.285 0.196 0.248 0.213 0.257 0.378 0.259 0.255 0.407
Tmall HR@10 0.352 0.274 0.168 0.369 0.269 0.298 0.298 0.292 0.381 0.426
NDCG@10 0.239 0.187 0.096 0.281 0.188 0.199 0.195 0.203 0.309 0.315
ML1M HR@10 0.268 0.249 0.145 0.243 0.229 0.273 0.265 0.264 0.116 0.304
NDCG@10 0.152 0.141 0.072 0.132 0.122 0.155 0.150 0.145 0.058 0.179
UB HR@10 0.171 0.142 0.098 0.181 0.132 0.141 0.172 0.145 0.158 0.200
NDCG@10 0.104 0.083 0.055 0.106 0.080 0.083 0.099 0.085 0.103 0.114
Tab.1  
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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 I, Tolstikhin N, Houlsby A, Kolesnikov L, Beyer X, Zhai T, Unterthiner J, Yung A, Steiner D, Keysers J, Uszkoreit M, Lucic A Dosovitskiy . MLP-Mixer: an all-MLP architecture for vision. In: Proceedings of the 35th Conference on Neural Information Processing Systems. 2021
11 K, Zhou H, Yu W X, Zhao J R Wen . Filter-enhanced MLP is all you need for sequential recommendation. In: Proceedings of the ACM Web Conference 2022. 2022, 2388−2399
[1] FCS-22703-OF-WL_suppl_1 Download
[2] FCS-22703-OF-WL_suppl_2 Download
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