Intelligent investment attraction recommendation method and system based on big data and readable storage medium

Fecha de publicación: 05/05/2023
Fuente: Wipo "BigData"
The invention discloses an intelligent investment attraction recommendation method and system based on big data and a readable storage medium, and the method comprises the steps: filtering noise information from original webpage data through employing a webpage information extraction technology, and obtaining main body information related to the demands of an investment attraction user; obtaining industrial park information through big data, establishing an investment attraction recommendation model, and inputting the subject information into the investment attraction recommendation model to obtain recommended enterprise information; comparing the recommended enterprise information with the investment attracting project information, and obtaining similarity information; comparing the similarity information with a preset similarity threshold value to obtain a deviation ratio; judging whether the deviation ratio is greater than a preset deviation ratio threshold value or not; if yes, rejecting the corresponding recommended enterprise; if yes, sorting the recommended enterprises according to the deviation rate, and generating a recommended enterprise list; through the big data processing technology, a big data precise investment attracting platform is built, enterprise risks are known in time, the selection range of target enterprises is narrowed, and the investment attracting work efficiency is improved.