TITLE:
Research on the Design of Data Asset Valuation Platform Based on WEB
AUTHORS:
Tian Shen
KEYWORDS:
Data Assets, Intelligent Recommendation, Content-Based Recommendation, Backend Management System
JOURNAL NAME:
Open Access Library Journal,
Vol.12 No.4,
April
9,
2025
ABSTRACT: With the rapid development of big data, mining the potential value of big data has become the key to the future development of science and technology. Especially with the introduction of the concept of “data assets”, popularizing data asset knowledge and expanding the data asset market have gradually become research hotspots. As an intangible asset, data assets have the characteristics of continuous growth, diverse categories, and frequent updates compared to traditional assets. Therefore, it is particularly important to build a Web-based data asset platform equipped with a complete backend management system. The research aims to design and develop a data asset valuation platform that can run on the web page. The development steps include: collecting and crawling data asset information on the JD Wanxiang platform, and cleaning the data; based on the cleaned data, providing users with data asset valuation, personalized recommendations, market situation analysis and other functions on the front end. The main functions of the backend management system include user management, data asset information management, and daily market data management.