In - Depth Research on User Profiles in Securities Companies Under the Digital Background

Huimin Li

doi:doi:10.11648/j.ijefm.20241206.16

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In - Depth Research on User Profiles in Securities Companies Under the Digital Background

Huimin Li^*

Published in International Journal of Economics, Finance and Management Sciences (Volume 12, Issue 6)

Received: 14 October 2024 Accepted: 18 November 2024 Published: 29 November 2024

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Abstract

Based on systematically grasping the development, integration, and application of relevant technologies such as the industrial value - chain model in the securities industry, the securitization of real - industry assets and their flow patterns, and regulatory and risk - prevention - and - control models, this paper conducts in - depth research on user profiles centering on the main path of securities business and product innovation. Aiming at the modeling problems of business - behavior - level homomorphism consistency and business - network - isomorphy consistency in business network systems, the concept of business - network profiles is originally proposed. That is, taking the description image of user profiles as an index, equivalent classification analysis of the description image of business - network profiles is carried out. According to the behavior equivalence class and behavior - homomorphism consistency, the user - network associations and interaction relationships are identified, and the user - association - action - and - influence - network profile is established, thereby obtaining more accurate and scientific data analysis and business applications. Finally, from the perspectives of algorithms and modeling, the structural model frameworks of the correlation relationships, interaction relationships, and influence relationships between user profiles and business - network profiles are discussed one by one, and the extended user profiles, business - network profiles, and their application results are presented.

Published in	International Journal of Economics, Finance and Management Sciences (Volume 12, Issue 6)
DOI	10.11648/j.ijefm.20241206.16
Page(s)	403-432
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Digital Management, Securities Companies, User Profiles, Business - Network Profiles

References

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[3]	Hao Shengyu, Chen Jingren. User Profiles in the Big Data Era Help Enterprises Achieve Precision Marketing [J]. China Collective Economy, 2016(4).
[4]	Liu Guangrong, Ren Jiantao. Precision Recommendation Based on Customer Profiles [J]. Science & Technology and Economy Guide, 2016(35).
[5]	Qi Cong, Wu Jun. Research on the Origin of the Concept of User Profiles and Application Scenarios [J]. Journal of Chongqing Jiaotong University: Social Sciences Edition, 2017(5).
[6]	Shen Jinbo. Application of User Profiles in Internet Finance [J]. Modern Business, 2017(33).
[7]	Shu Hong, Li Shuanghong. Data - Driven Securities Customer Profiles and Churn Prediction Analysis [J]. Microcomputer Applications, 2021(8).
[8]	Xie Kang, Wu Ji, Xiao Jinghua. User Profiles and User Behavior Analysis Based on Big Data Platforms [J]. Informatization in China, 2018(3).
[9]	Ye Mengqi. Research on the Application of Fintech in Scenario - based Services [J]. Times Finance, 2019(25).
[10]	Zhu Weiyuan. Discussion on the Investment Behaviors and Personality Characteristics of Chinese Securities Investors [J]. Modern Business, 2018(25).
[11]	Cheng Juan, Zhou Xiongwei. Research on the Innovation of Securities and Financial Services Based on Artificial Intelligence [J]. Fintech Era, 2018, 26(10).
[12]	Analysys - Analysys. User Profiles of Chinese Internet Securities [J]. Modern Commercial Banks, 2018(9).

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APA Style

Li, H. (2024). In - Depth Research on User Profiles in Securities Companies Under the Digital Background. International Journal of Economics, Finance and Management Sciences, 12(6), 403-432. https://doi.org/10.11648/j.ijefm.20241206.16

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ACS Style

Li, H. In - Depth Research on User Profiles in Securities Companies Under the Digital Background. Int. J. Econ. Finance Manag. Sci. 2024, 12(6), 403-432. doi: 10.11648/j.ijefm.20241206.16

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AMA Style

Li H. In - Depth Research on User Profiles in Securities Companies Under the Digital Background. Int J Econ Finance Manag Sci. 2024;12(6):403-432. doi: 10.11648/j.ijefm.20241206.16

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@article{10.11648/j.ijefm.20241206.16,
  author = {Huimin Li},
  title = {In - Depth Research on User Profiles in Securities Companies Under the Digital Background
},
  journal = {International Journal of Economics, Finance and Management Sciences},
  volume = {12},
  number = {6},
  pages = {403-432},
  doi = {10.11648/j.ijefm.20241206.16},
  url = {https://doi.org/10.11648/j.ijefm.20241206.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20241206.16},
  abstract = {Based on systematically grasping the development, integration, and application of relevant technologies such as the industrial value - chain model in the securities industry, the securitization of real - industry assets and their flow patterns, and regulatory and risk - prevention - and - control models, this paper conducts in - depth research on user profiles centering on the main path of securities business and product innovation. Aiming at the modeling problems of business - behavior - level homomorphism consistency and business - network - isomorphy consistency in business network systems, the concept of business - network profiles is originally proposed. That is, taking the description image of user profiles as an index, equivalent classification analysis of the description image of business - network profiles is carried out. According to the behavior equivalence class and behavior - homomorphism consistency, the user - network associations and interaction relationships are identified, and the user - association - action - and - influence - network profile is established, thereby obtaining more accurate and scientific data analysis and business applications. Finally, from the perspectives of algorithms and modeling, the structural model frameworks of the correlation relationships, interaction relationships, and influence relationships between user profiles and business - network profiles are discussed one by one, and the extended user profiles, business - network profiles, and their application results are presented.
},
 year = {2024}
}

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TY  - JOUR
T1  - In - Depth Research on User Profiles in Securities Companies Under the Digital Background

AU  - Huimin Li
Y1  - 2024/11/29
PY  - 2024
N1  - https://doi.org/10.11648/j.ijefm.20241206.16
DO  - 10.11648/j.ijefm.20241206.16
T2  - International Journal of Economics, Finance and Management Sciences
JF  - International Journal of Economics, Finance and Management Sciences
JO  - International Journal of Economics, Finance and Management Sciences
SP  - 403
EP  - 432
PB  - Science Publishing Group
SN  - 2326-9561
UR  - https://doi.org/10.11648/j.ijefm.20241206.16
AB  - Based on systematically grasping the development, integration, and application of relevant technologies such as the industrial value - chain model in the securities industry, the securitization of real - industry assets and their flow patterns, and regulatory and risk - prevention - and - control models, this paper conducts in - depth research on user profiles centering on the main path of securities business and product innovation. Aiming at the modeling problems of business - behavior - level homomorphism consistency and business - network - isomorphy consistency in business network systems, the concept of business - network profiles is originally proposed. That is, taking the description image of user profiles as an index, equivalent classification analysis of the description image of business - network profiles is carried out. According to the behavior equivalence class and behavior - homomorphism consistency, the user - network associations and interaction relationships are identified, and the user - association - action - and - influence - network profile is established, thereby obtaining more accurate and scientific data analysis and business applications. Finally, from the perspectives of algorithms and modeling, the structural model frameworks of the correlation relationships, interaction relationships, and influence relationships between user profiles and business - network profiles are discussed one by one, and the extended user profiles, business - network profiles, and their application results are presented.

VL  - 12
IS  - 6
ER  -

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Author Information

Huimin Li

Zhongtai Securities Co., Ltd, Jinan, China

Contact Email

http://orcid.org/0009-0007-1673-661X

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Plain Text BibTeX RIS

APA Style

Li, H. (2024). In - Depth Research on User Profiles in Securities Companies Under the Digital Background. International Journal of Economics, Finance and Management Sciences, 12(6), 403-432. https://doi.org/10.11648/j.ijefm.20241206.16

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ACS Style

Li, H. In - Depth Research on User Profiles in Securities Companies Under the Digital Background. Int. J. Econ. Finance Manag. Sci. 2024, 12(6), 403-432. doi: 10.11648/j.ijefm.20241206.16

Copy | Download

AMA Style

Li H. In - Depth Research on User Profiles in Securities Companies Under the Digital Background. Int J Econ Finance Manag Sci. 2024;12(6):403-432. doi: 10.11648/j.ijefm.20241206.16

Copy | Download

@article{10.11648/j.ijefm.20241206.16,
  author = {Huimin Li},
  title = {In - Depth Research on User Profiles in Securities Companies Under the Digital Background
},
  journal = {International Journal of Economics, Finance and Management Sciences},
  volume = {12},
  number = {6},
  pages = {403-432},
  doi = {10.11648/j.ijefm.20241206.16},
  url = {https://doi.org/10.11648/j.ijefm.20241206.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20241206.16},
  abstract = {Based on systematically grasping the development, integration, and application of relevant technologies such as the industrial value - chain model in the securities industry, the securitization of real - industry assets and their flow patterns, and regulatory and risk - prevention - and - control models, this paper conducts in - depth research on user profiles centering on the main path of securities business and product innovation. Aiming at the modeling problems of business - behavior - level homomorphism consistency and business - network - isomorphy consistency in business network systems, the concept of business - network profiles is originally proposed. That is, taking the description image of user profiles as an index, equivalent classification analysis of the description image of business - network profiles is carried out. According to the behavior equivalence class and behavior - homomorphism consistency, the user - network associations and interaction relationships are identified, and the user - association - action - and - influence - network profile is established, thereby obtaining more accurate and scientific data analysis and business applications. Finally, from the perspectives of algorithms and modeling, the structural model frameworks of the correlation relationships, interaction relationships, and influence relationships between user profiles and business - network profiles are discussed one by one, and the extended user profiles, business - network profiles, and their application results are presented.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - In - Depth Research on User Profiles in Securities Companies Under the Digital Background

AU  - Huimin Li
Y1  - 2024/11/29
PY  - 2024
N1  - https://doi.org/10.11648/j.ijefm.20241206.16
DO  - 10.11648/j.ijefm.20241206.16
T2  - International Journal of Economics, Finance and Management Sciences
JF  - International Journal of Economics, Finance and Management Sciences
JO  - International Journal of Economics, Finance and Management Sciences
SP  - 403
EP  - 432
PB  - Science Publishing Group
SN  - 2326-9561
UR  - https://doi.org/10.11648/j.ijefm.20241206.16
AB  - Based on systematically grasping the development, integration, and application of relevant technologies such as the industrial value - chain model in the securities industry, the securitization of real - industry assets and their flow patterns, and regulatory and risk - prevention - and - control models, this paper conducts in - depth research on user profiles centering on the main path of securities business and product innovation. Aiming at the modeling problems of business - behavior - level homomorphism consistency and business - network - isomorphy consistency in business network systems, the concept of business - network profiles is originally proposed. That is, taking the description image of user profiles as an index, equivalent classification analysis of the description image of business - network profiles is carried out. According to the behavior equivalence class and behavior - homomorphism consistency, the user - network associations and interaction relationships are identified, and the user - association - action - and - influence - network profile is established, thereby obtaining more accurate and scientific data analysis and business applications. Finally, from the perspectives of algorithms and modeling, the structural model frameworks of the correlation relationships, interaction relationships, and influence relationships between user profiles and business - network profiles are discussed one by one, and the extended user profiles, business - network profiles, and their application results are presented.

VL  - 12
IS  - 6
ER  -

Copy | Download