Personalized Recommendation for Mobile Internet Wealth Management Based on User Behavior Data Analysis

Economic development has provided good opportunities for the development of securities companies. Similarly, the development of Internet technology has also brought huge opportunities and challenges to the development of securities companies. Aiming at the current wealth management issues in the era...

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Autores principales:	Xiangyu Ye, Mengmeng Chen
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/cd18d97e512345cdb8e281b8ab10575e
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spelling	oai:doaj.org-article:cd18d97e512345cdb8e281b8ab10575e2021-11-29T00:56:46ZPersonalized Recommendation for Mobile Internet Wealth Management Based on User Behavior Data Analysis1875-919X10.1155/2021/9326932https://doaj.org/article/cd18d97e512345cdb8e281b8ab10575e2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9326932https://doaj.org/toc/1875-919XEconomic development has provided good opportunities for the development of securities companies. Similarly, the development of Internet technology has also brought huge opportunities and challenges to the development of securities companies. Aiming at the current wealth management issues in the era of mobile Internet, this article attempts to develop a personalized recommendation approach on the basis of users’ behavioral data analysis. We analyzed and judged the current situation of mobile Internet wealth management using personalized recommendation systems. On the basis of personalized recommendation, we use the user’s interest tags, personalized recommendation technology, and data mining technology to analyze and summarize customer transaction records. This is done through the use of preservation of customer transaction data. By understanding customers’ investment needs, risk preferences, and other information, we can segment customers and provide them with targeted products and services. As a result of the study, a flexible personalized recommendation framework is designed and validated for mobile Internet wealth management services. The effectiveness of the proposed approach is verified through testing of the developed model.Xiangyu YeMengmeng ChenHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer software QA76.75-76.765
spellingShingle	Computer software QA76.75-76.765 Xiangyu Ye Mengmeng Chen Personalized Recommendation for Mobile Internet Wealth Management Based on User Behavior Data Analysis
description	Economic development has provided good opportunities for the development of securities companies. Similarly, the development of Internet technology has also brought huge opportunities and challenges to the development of securities companies. Aiming at the current wealth management issues in the era of mobile Internet, this article attempts to develop a personalized recommendation approach on the basis of users’ behavioral data analysis. We analyzed and judged the current situation of mobile Internet wealth management using personalized recommendation systems. On the basis of personalized recommendation, we use the user’s interest tags, personalized recommendation technology, and data mining technology to analyze and summarize customer transaction records. This is done through the use of preservation of customer transaction data. By understanding customers’ investment needs, risk preferences, and other information, we can segment customers and provide them with targeted products and services. As a result of the study, a flexible personalized recommendation framework is designed and validated for mobile Internet wealth management services. The effectiveness of the proposed approach is verified through testing of the developed model.
format	article
author	Xiangyu Ye Mengmeng Chen
author_facet	Xiangyu Ye Mengmeng Chen
author_sort	Xiangyu Ye
title	Personalized Recommendation for Mobile Internet Wealth Management Based on User Behavior Data Analysis
title_short	Personalized Recommendation for Mobile Internet Wealth Management Based on User Behavior Data Analysis
title_full	Personalized Recommendation for Mobile Internet Wealth Management Based on User Behavior Data Analysis
title_fullStr	Personalized Recommendation for Mobile Internet Wealth Management Based on User Behavior Data Analysis
title_full_unstemmed	Personalized Recommendation for Mobile Internet Wealth Management Based on User Behavior Data Analysis
title_sort	personalized recommendation for mobile internet wealth management based on user behavior data analysis
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/cd18d97e512345cdb8e281b8ab10575e
work_keys_str_mv	AT xiangyuye personalizedrecommendationformobileinternetwealthmanagementbasedonuserbehaviordataanalysis AT mengmengchen personalizedrecommendationformobileinternetwealthmanagementbasedonuserbehaviordataanalysis
_version_	1718407673779585024

Personalized Recommendation for Mobile Internet Wealth Management Based on User Behavior Data Analysis

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