1 |
Aminu Da'u and Naomie Salim, "Recommendation system based on deep learning methods: a systematic review and new directions", Artificial Intelligence Review, Vol. 53, pp. 2709-2748, 2020. https://doi.org/10.1007/s10462-019-09744-1
DOI
|
2 |
Homanga Bharadhwaj, Homin Park, and Brian Y. Lim, "RecGAN: recurrent generative adversarial networks for recommendation systems", RecSys '18: Proceedings of the 12th ACM Conference on Recommender Systems, pp. 372-376, 2018. https://doi.org/10.1145/3240323.3240383
DOI
|
3 |
Pengyu Zhao, Tianxiao Shui, Yuanxing Zhang, Kecheng Xiao, Kaigui Bian, "Adversarial Oracular Seq2seq Learning for Sequential Recommendation", Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, pp. 1905-1911, 2020. https://doi.org/10.24963/ijcai.2020/264
DOI
|
4 |
Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu and Kun Gai, "Lifelong sequential modeling with personalized memorization for user response prediction", Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 565-574, 2019. https://doi.org/10.1145/3331184.3331230
DOI
|
5 |
Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang, "BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer", Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 1441-1450, 2019. https://doi.org/10.1145/3357384.3357895
DOI
|
6 |
W. Kang and J. McAuley, "Self-Attentive Sequential Recommendation," 2018 IEEE International Conference on Data Mining (ICDM), pp. 197-206, 2018. https://doi.org/10.1109/ICDM.2018.00035
DOI
|
7 |
Q. Liu, S. Wu, D. Wang, Z. Li and L. Wang, "Context-Aware Sequential Recommendation," 2016 IEEE 16th International Conference on Data Mining (ICDM), pp. 1053-1058, 2016. https://doi.org/10.1109/ICDM.2016.0135
DOI
|
8 |
Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet Orgun, "Sequential recommender systems: challenges, progress and prospects." Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, pp. 6332-6338, 2019. https://doi.org/10.24963/ijcai.2019/883
DOI
|
9 |
Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, and Defu Lian, "A survey on session-based recommender systems." ACM Computing Surveys, Vol. 54, No. 154, pp. 1-38, 2022. https://doi.org/10.1145/3465401
DOI
|
10 |
N. Chowdhury and M. A. kashem, "A comparative analysis of Feed-forward neural network & Recurrent Neural network to detect intrusion," 2008 International Conference on Electrical and Computer Engineering, pp. 488-492, 2008. https://doi.org/10.1109/ICECE.2008.4769258
DOI
|
11 |
Hui Fang, Danning Zhang, Yiheng Shu, and Guibing Guo, "Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations", ACM Transactions on Information Systems, Vol. 39, No. 10, pp. 1-42, 2020. https://doi.org/10.1145/3426723
DOI
|
12 |
Jiaxi Tang, Ke Wang, " Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding." Proceedings of Eleventh ACM International Conference on Web Search and Data Mining, pp. 565-573, 2018. https://doi.org/10.1145/3159652.3159656
DOI
|
13 |
Zhengwei Wang, Qi She, Tomas E. Ward, "Generative Adversarial Networks in Computer vision: A Survey and Taxonomy", ACM Computing Surveys, Vol. 54, No. 37, pp. 1-38, 2022. https://doi.org/10.1145/3439723
DOI
|
14 |
M. Bubashait and N. Hewahi, "Urban Sound Classification Using DNN, CNN & LSTM a Comparative Approach," 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), pp. 46-50, 2021. https://doi.org/10.1109/3ICT53449.2021.9581339
DOI
|
15 |
Trinh Xuan Tuan and Tu Minh Phuong, " 3D Convolutional Networks for Session-based Recommendation with Content Features." Proceedings of the Eleventh ACM Conference on Recommender Systems, pp. 138-146, 2017. http://dx.doi.org/10.1145/3109859.3109900
DOI
|
16 |
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M Jose, and Xiangnan He, "A Simple Convolutional Generative Network forNext Item Recommendation", Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, pp. 582-590, 2019. https://doi.org/10.1145/3289600.3290975
DOI
|
17 |
Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen, "Sequential Recommendation with Self-Attentive Multi-Adversarial Network", Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20), pp. 89-98, 2020. https://doi.org/10.1145/3397271.3401111
DOI
|
18 |
Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan, "A dynamic recurrent model for next basket recommendation", Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, pp. 729-732, 2016. https://doi.org/10.1145/2911451.2914683
DOI
|
19 |
Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan, "Session-based Recommendation with Graph Neural Networks", Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 33, pp. 346-353, 2019. https://doi.org/10.1609/aaai.v33i01.3301346
DOI
|
20 |
Yoshua Bengio, Aaron Courville, Pascal Vincent, "Representation Learning: A Review and New Perspectives", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 8, pp. 1798-1828, 2013. https://doi.org/10.1109/TPAMI.2013.50
DOI
|
21 |
Yashar Deldjoo, Tommaso Di Noia, and Felice Antonio Merra, "A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks", ACM Computing Surveys, Vol. 54, No. 35, pp. 1-38, 2022. https://doi.org/10.1145/3439729
DOI
|
22 |
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang, "A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation", IEEE Transactions on Knowledge and Data Engineering, pp. 1-20, 2021. https://doi.org/10.48550/arXiv.2001.04830
DOI
|
23 |
Shuai Zhang, Lina Yao, Aixin Sun, and Yi Tay, "Deep Learning Based Recommender System: A Survey and New Perspectives", ACM Computing Surveys (CSUR), Vol. 52, No. 1, pp. 1-38, 2019. https://doi.org/10.1145/3285029
DOI
|
24 |
R. Mu, "A Survey of Recommender Systems Based on Deep Learning", IEEE Access, Vol. 6, pp. 69009-69022, 2018. https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8529185
DOI
|