Online financial product marketing information push method based on social relationship network analysis

Zihan Gao

International Journal of Networking and Virtual Organisations, 2025, vol. 32, issue 1/2/3/4, 70-85

Abstract: The research on online financial product marketing information push is of great significance for improving the efficiency of financial institutions, optimising product design, and promoting financial technology innovation and digital transformation. In order to solve the problems existing in current methods, an online financial product marketing information push method based on social relationship network analysis is proposed. This method uses social network to analyse and calculate the influence of user relationship, and combines with two-way gated recurrent unit (GRU) neural network to extract user interest. Push online financial product marketing information based on user interests and multi-Markov chain. Experimental results show that the proposed method performs well in accuracy, push time and user retention rate. Therefore, this method has the characteristics of high precision and high efficiency.

Keywords: social relationship network analysis; online financial product; marketing information push; two-way GRU neural network; multi-Markov chain. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=145370 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijnvor:v:32:y:2025:i:1/2/3/4:p:70-85

Access Statistics for this article

More articles in International Journal of Networking and Virtual Organisations from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().