Open Access
SHS Web Conf.
Volume 159, 2023
2023 International Conference on Language and Cultural Communication (ICLCC 2023)
Article Number 02010
Number of page(s) 4
Section Cultural Communication and New Media Marketing Strategy
Published online 23 February 2023
  1. Yu Meng, He Wentao, Zhou Xuchuan*, Cui Mengtian, Wu Keqi, Zhou Wenjie. Review of recommendation system[D]. Chengdu: Southwest University for Nationalities, 2022. -. [Google Scholar]
  2. Erol Mrzic, Tarik Zaimovic. Data Science Methods and Machine Learning Algorithm Implementations for Customized Pratical Usage[D]. Alija Izetbegović 1, Sarajevo, Bosnia and Herzegovina: University of Sarajevo, School of Economics and Business, Department of Information Systems Development, 2020. -. [Google Scholar]
  3. Yu Li, Du Qihan, Yue Boyan, Xiang Junyao, Xu Guanyu and Leng Youfang. Survey of Reinforcement Learning Based Recommender Systems[D]. Beijing: School of Information, Renmin University of China, 2021. -. [Google Scholar]
  4. Wang Junshu, Zhang Guoming, Hu Bin. A Survey of Deep Learning Based Recommendation Algorithms[D]. Nanjing, Jiangsu: Journal of Nanjing Normal University, 2018. -. [Google Scholar]
  5. Zhang Zheng-Feng, Qiang Cheng-kui, Duan Su-Feng. Review of Personalized Movie Recommendation Algorithms[D]. : Xuzhou College of Biotechnology, 2021. -. [Google Scholar]
  6. Robin Burke. Hybrid Web Recommender Systems[D]. 243 S. Wabash Ave. Chicago, Illinois, USA: School of Computer Science, Telecommunications and Information Systems DePaul University, 2007. -. [Google Scholar]
  7. Saumya Bansal · Niyati Baliyan. Remembering past and predicting future: a hybrid recurrent neural network based recommender system[D]. : Springer-Verlag GmbH Germany, part of Springer Nature, 2022. -. [Google Scholar]
  8. Xuanxuan Wang. Design and Implementation of Personalized Movie Recommendation System based on Hybrid Recommendation Algorithm[D]. : Huazhong University of Science and Technology, 2021. -. [Google Scholar]
  9. Geng Yiwen. Research on Recommendation System Based on Deep Learning[D]. Beijing: Northern Polytechnic University, 2021. -. [Google Scholar]
  10. Wu Jing, Xie Hui, Jiang Huowen. Survey of Graph Neural Network in Recommendation System[D]. Nanchang: School of Mathematics and Computer Science, Jiangxi Science and Technology Normal University, 2022. -. [Google Scholar]
  11. Chen Daoqiang. Design and Implementation of Movie Recommendation System Based on Graph Convolution Neural Network[D]. : University of Electronic Science and technology, 2022. -. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.