Computer Engineering & Science ›› 2024, Vol. 46 ›› Issue (04): 734-742.
• Artificial Intelligence and Data Mining • Previous Articles Next Articles
CAO Hao-dong,WANG Hai-tao,HE Jian-feng
Received:
2023-03-24
Revised:
2023-05-22
Accepted:
2024-04-25
Online:
2024-04-25
Published:
2024-04-18
CAO Hao-dong, WANG Hai-tao, HE Jian-fen. Date-aware sequential recommendation fusing local information of sequences[J]. Computer Engineering & Science, 2024, 46(04): 734-742.
[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. |
[1] | CHEN Jie, LI Cheng, LIU Zhong. Convolutional neural network inference and training vectorization method for multicore vector accelerators [J]. Computer Engineering & Science, 2024, 46(04): 580-589. |
[2] | QIN Wen-qiang, WU Zhong-cheng, ZHANG Jun, LI Fang, . Design of convolutional neural network acceleration system based on heterogeneous platform [J]. Computer Engineering & Science, 2024, 46(01): 12-20. |
[3] | ZHOU Li, ZHAO Zhi-qiao, PAN Guo-teng, TIE Jun-bo, ZHAO Wang. RISC-V based design of graph convolutional neural network accelerator [J]. Computer Engineering & Science, 2023, 45(12): 2113-2120. |
[4] | LIANG Xiu-man, ZHOU Jia-run, YANG Ruo-lan. LPD-YOLO:Lightweight obscured pedestrian detection model [J]. Computer Engineering & Science, 2023, 45(12): 2197-2205. |
[5] | JIAO Jia-hui, MA Si-yuan, SONG Yu, SONG Wei. Bi-modal music genre classification model MGTN based on convolutional attention mechanism [J]. Computer Engineering & Science, 2023, 45(12): 2226-2236. |
[6] | JIA Kang, LI Xiao-nan, LI Guan-yu. A graph similarity computation model based on adaptive structure aware pooling graph matching [J]. Computer Engineering & Science, 2023, 45(11): 1999-2007. |
[7] | YIN Chun-yong, FENG Meng-xue. A semi-supervised log anomaly detection method based on attention mechanism [J]. Computer Engineering & Science, 2023, 45(08): 1405-1415. |
[8] | YU Zi-cheng, LING Jie. A DGA domain name detection method based on Transformer and multi-feature fusion [J]. Computer Engineering & Science, 2023, 45(08): 1416-1423. |
[9] | LIU Jun-qi, TU Wen-xuan, ZHU En. Survey on graph convolutional neural network [J]. Computer Engineering & Science, 2023, 45(08): 1472-1481. |
[10] | YI Xiao, MA Sheng, XIAO Nong. Running optimization of deep learning accelerators under different pruning strategies [J]. Computer Engineering & Science, 2023, 45(07): 1141-1148. |
[11] | CUI Ke-bin, CUI Ye-wei. A circuit breaker moving contact tracking methods based on convolution and Transformer [J]. Computer Engineering & Science, 2023, 45(07): 1236-1244. |
[12] | WANG Jian, JIANG Lin, WANG Lin-qin, YU Zheng-tao, ZHANG Song, GAO Sheng-xiang, . A low-resource Lao text regularization task based on BiLSTM [J]. Computer Engineering & Science, 2023, 45(07): 1292-1299. |
[13] | Peride Abdurehim, Turdi Tohti, Askar Hamdulla, . An entity relation extraction method based on deep learning [J]. Computer Engineering & Science, 2023, 45(05): 895-902. |
[14] | DONG Peng-shan, ZHANG Jing, JIN Ri-ze. Sentiment analysis of Chinese product reviews based on dual-channel gated composite network [J]. Computer Engineering & Science, 2023, 45(05): 911-919. |
[15] | LIU Zi-jian, DING Wei-long, XING Meng-da, LI Han, HUANG Ye. Conv-WGAIN:Convolutional generative adversarial imputation net for multivariate time series missing data [J]. Computer Engineering & Science, 2023, 45(05): 931-939. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
湘公网安备 43010502000083号
湘ICP备10006030号
Copyright © Computer Engineering & Science, All Rights Reserved.
Address:109 Deya Rd,Changsha,hunan(410073) Tel: 0731-87002567 Email: jsjgcykx@vip.163.com
Powered by Beijing Magtech Co., Ltd.