Analysis and Design of Financial Wealth Management Platform Based on Cloud Edge Collaboration

Cloud computing technology is widely used in industrial digitization. In order to help financial organizations achieve interconnectivity across geographical boundaries and assist investors in breaking down information silos, we have designed a financial management platform through cloud edge collaboration technology and service-oriented architecture. A financial wealth management service theory and model based on cloud edge collaboration have been proposed, which provides personalized experiences for users through optimized collaborative filtering algorithms on the basis of privacy data protection. And analyzed the financial product recommendation model from multiple aspects, tested the performance of various clustering based collaborative filtering algorithms, and the results showed that the collaborative filtering recommendation algorithm based on nearest neighbor adaptive optimization density peak clustering had higher recommendation accuracy.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1109/aiotc63215.2024.10748328
Citations
3
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
3.40
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article

Analysis and Design of Financial Wealth Management Platform Based on Cloud Edge Collaboration

Zibo Liu, Yuedi Gou, Yuan Liao, Jie Zhang
3 citations
Regional Development and Environment
3.40
article

Analysis and Design of Financial Wealth Management Platform Based on Cloud Edge Collaboration

Zibo Liu, Yuedi Gou, Yuan Liao, Jie Zhang
article en
3 citations

Abstract

Cloud computing technology is widely used in industrial digitization. In order to help financial organizations achieve interconnectivity across geographical boundaries and assist investors in breaking down information silos, we have designed a financial management platform through cloud edge collaboration technology and service-oriented architecture. A financial wealth management service theory and model based on cloud edge collaboration have been proposed, which provides personalized experiences for users through optimized collaborative filtering algorithms on the basis of privacy data protection. And analyzed the financial product recommendation model from multiple aspects, tested the performance of various clustering based collaborative filtering algorithms, and the results showed that the collaborative filtering recommendation algorithm based on nearest neighbor adaptive optimization density peak clustering had higher recommendation accuracy.

Beijing University of Technology (CN)
Decent work and economic growth
Openalex Percentile: Top 7%
Regional Development and Environment
3.40
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Analysis and Design of Financial Wealth Management Platform Based on Cloud Edge Collaboration — Zibo Liu, Yuedi Gou, et al. · (2024) | TGRS Research Map | TGRS