Social Recommendation for Social Networks Using Deep Learning Approach: A Systematic Review, Taxonomy, Issues, and Future Directions

Author:

Alrashidi Muhammad1ORCID,Selamat Ali1ORCID,Ibrahim Roliana1,Krejcar Ondrej2ORCID

Affiliation:

1. Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia

2. Malaysia–Japan International Institute of Technology, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

Funder

Ministry of Higher Education through the Fundamental Research Grant Scheme

Faculty of Informatics and Management, University of Hradec Králové, through the Specific Research Project (SPEV), ‘‘Smart Solutions in Ubiquitous Computing Environments’’

student Michal Dobrovolny in consultations regarding application aspects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Social Recommender System Based on CNN Incorporating Tagging and Contextual Features;Journal of Cases on Information Technology;2024-01-07

2. Analysis of Recommender System Using Generative Artificial Intelligence: A Systematic Literature Review;IEEE Access;2024

3. Recommender Systems and Analysis of Large-Scale Online Social Networks;2023 International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT);2023-11-23

4. A Systematic Literature Review: Metaverse in Educational Learning for TVET Student;2023 IEEE International Conference on Computing (ICOCO);2023-10-09

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