Multiple dynamic intelligent matching recommendation method for enterprise policy information for digital government affairs

Abstract

The present invention proposes a multiple dynamic intelligent matching recommendation method for enterprise policy information for digital government affairs, including: regularly crawling multiple groups of policy data from the webpage, and performing text semantic analysis on the crawled data, and according to the semantic analysis results Carry out modular disassembly and policy label setting for each set of policy data, and store them in the policy database; receive the enterprise data entered by the user, set the enterprise labels for different categories of content information in the enterprise data, and store them in the Enterprise database; according to the completed policy label and enterprise label, locate the data category, then perform multiple intelligent matching between the enterprise data entered by the user and multiple sets of policy data in the policy database, and perform weight scoring on each round of matching results, A policy matching report is pushed to the user according to the final weight scoring result.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a method for multiple dynamic intelligent matching and recommendation of enterprise policy information for digital government affairs. Background technique [0002] With the rapid development of national science and technology and economy, in order to encourage innovative activities of enterprises and scientific research institutions of universities, various departments of the country will issue many policies every year to support and encourage the development of innovative technologies of enterprises and scientific research institutions of universities. However, due to the fact that the departments, release times, and release sites of the policies are different, the policy information is scattered. Users who want to know the policy information in this industry often have to search a large amount of website information and analyze the obtained policy information to...

AI Technical Summary

Problems solved by technology

However, due to the fact that the department, release time, and release site of the policy are all different, the policy information is scattered.

Users who want to know the policy information in this industry often have to search a large amount of website information and analyze the obtained policy information to judge whether they meet the declaration requirements. Such a cumbersome process takes up a lot of time for enterprises and other users. time

Users often have to analyze a large number of policies one by one to know the policies that they are suitable for reporting, which takes up a lot of manpower time and is inefficient

Enterprises cannot obtain policy information in a timely manner, nor can they judge whether they meet the application requirements and complete the application process in a timely manner, let alone obtain support from government projects in a timely manner, and miss the opportunity to obtain policy assistance, thus hindering the process of national encouragement and support

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