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

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...

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Bibliographic Details
Main Authors TANI SHUN, GUO WEIWEI
Format Patent
LanguageChinese
English
Published 05.05.2023
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Summary: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
Bibliography:Application Number: CN202211702970