Personalized Recommendation Multi-Objective Optimization Model Based on Deep Learning
By:
References
- Zhou G, Mou N, Fan Y, et al. Deep interest evolution network for click-through rate prediction. AAAI 2019, 33: 5941–5948.
- Amir R Zamir, Alexander Sax, William Shen, Leonidas J Guibas, Jitendra Malik, and Silvio Savarese. Taskonomy: Disentangling task transfer learning. In Computer Vision and Pattern Recognition, 2018.
- Chen C,Meng X,Xu Z,et al.Location-aware personalized news recommendation with deep semantic analysis.IEEE Access,2017:173–182.
- Wang R, Fu B, Fu G, et al. Deep & cross network for ad click predictions. ADKDD 2017: 1–7.
- LeCun Y, Bengio Y, Hinton G. Deep Learning. Nature, 2015, 521(7553): 436–444.
- Song W, Shi C, Xiao Z, et al. Autoint: Automatic feature interaction learning via self-attentive neural networks. CIKM 2019: 1161–1170.
- Chen Q, Zhao H, Li W, et al. Behavior sequence transformer for e-commerce recommendation in Alibaba. Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data. 2019: 1–4.
- Shikun Liu, Edward Johns, and Andrew J Davison. 2019. End-to-end multi-task learning with attention. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 1871–1880.
- Cheng H T,Koc L,Harmsen J,et al.Wide & deep learning for recommender systems//Proceedings of the 1st Workshop on Deep Learning for Recommender Systems.Boston,USA,2016:7–10.
- Guo H,Tang R,Ye Y,et al.DeepFM:A factorization-machine based neural network for CTR prediction//Proceedings of the 26th International Joint Conference on Artificial Intelligence.Melbourne,Australia,2017:1725–1731.
- Rich Caruana. 1998. Multitask learning. In Learning to learn. Springer, 95–133.
- Chen C,Meng X,Xu Z,et al.Location-aware personalized news recommendation with deep semantic analysis.IEEE Access,2017:173–182.
- Rendle S.Factorization machines//Proceedings of the 2010 IEEE 10th International Conference on Data Mining.Sydney,Australia,2010:995–1000.
- Jiaqi Ma,Zhe Zhao,Xinyang Yi,Jilin Chen,Lichan Hong,Ed H. Chi. Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts[P]. Knowledge Discovery & Data Mining,2018: 1930–1939.
- Hongyan Tang, Junning Liu, Ming Zhao, and Xudong Gong. 2020. Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations. In Fourteenth ACM Conference on Recommender Systems (RecSys '20). Association for Computing Machinery, New York, NY, USA, 269–278.
- Xiao Ma et al. “Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate” International ACM SIGIR Conference on Research and Development in Information Retrieval (2018).
DOI: https://doi.org/10.2478/ijanmc-2024-0005 | Journal eISSN: 2470-8038
Language: English
Page range: 44 - 57
Published on: Mar 28, 2024
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Related subjects:
© 2024 Zepeng Yang, Ping Lu, Pingping Liu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.