Development and Optimization of Social Network Systems on Machine Learning
Huijie Pan
European Journal of AI, Computing & Informatics, 2025, vol. 1, issue 2, 73-79
Abstract:
The intelligent and personalized development of social network system cannot be separated from the support of machine learning technology. This paper discusses the application of machine learning in social network system, focusing on the implementation of data flow design, machine learning model integration, personalized recommendation, social graph analysis, emotion recognition and security protection. At the same time, the strategy of optimizing system throughput, computing efficiency, data transmission and resource allocation through machine learning is studied to improve system performance.
Keywords: machine learning; social networking; personalized recommendation; emotion analysis; system optimization (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:dba:ejacia:v:1:y:2025:i:2:p:73-79
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