Internet intelligence crawling and recommendation system for field of investment attraction

Abstract

The invention provides an internet intelligence crawling and recommendation system for the field of investment attraction. The system comprises an investment attraction intelligence acquisition module, an investment attraction intelligence analysis module, an investment attraction intelligence service module and a data storage module. The system crawls company information on medium web sites and social medium web sites with a web crawler technique; online information is filtered and recommended with a recommendation algorithm based on human monitoring and machine learning, and high-quality information in the target range of a user is recommended; intelligence recommendation analysis is automatically corrected according to the recommendation result of an auditor and the reading quantity of recommended information, so that the information crawling quality is higher in the future, and artificial intervention is reduced. Website information is crawled with the web crawler technique, searching results are filtered according to a filter rule set by the user, investment chances of various enterprises and high-tech enterprises in the industries and fields which the user pays attention to are acquired, and information is collected and provided for people who are responsible for investment attraction to serve as target traveling merchants for investment attraction.

Description

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AI Technical Summary

Benefits of technology

This patented technology helps gather important data from various sources like governmental databases or external web sites for better analysis purposes. It uses an intelligent capturing module focused specifically towards economic news topics such as bankruptcy checks or credit card fraud detection. Its technical results include improved accuracy over past methods due to its own learning capabilities and recommendations made through algorithms generated automatically according to factors like preferences provided by consumers.

Problems solved by technology

This patented describes an issue where people are struggling financing their money through online campaigns due to limited resources available for searching over them. Existing methods like keyword extraction require manual effort by human experts which may result in errors when trying different ways. There has been some progress towards automating these processes based on machine learning models trained against historical dataset databases containing information about past transactions. However current solutions have limitations in identifying important phrases related to specific types of business interactions.

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