Science and technology service intelligent matching platform
An intelligent and technological technology, applied in the field of data services, can solve problems such as high labor costs, poor timeliness, omissions or errors, and achieve the effect of avoiding information omissions and realizing automatic addition and expansion
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Embodiment 1
[0040] Such as figure 1 As shown, a technology service intelligent matching platform in this embodiment includes an enterprise information management module, a project information management module, a project matching module, a matching result viewing module, and a project pushing module.
[0041] The enterprise information management module includes the enterprise database, which stores the enterprise data of each enterprise; the enterprise information management module includes the enterprise data import module and the enterprise data operation module, the enterprise data import module is used to import enterprise data in batches, and the enterprise data operation module Used to add enterprise data, modify enterprise data or delete enterprise data.
[0042] The project information management module includes a project database, which stores project information of each project. Project information includes: project basic information, project requirement information, project be...
Embodiment 2
[0060] The difference between this embodiment and Embodiment 1 is that in this embodiment, the suggestion generation module includes a change suggestion generation module, and the change suggestion generation module judges the project change content, type and change trend according to the project change, if the type is If the project requires information and the project requirements become stricter, a change reminder will be generated, and the corresponding suggestion model will be matched according to the specific change item, and a project change suggestion will be generated according to the suggestion model.
Embodiment 3
[0062] The difference between this embodiment and Embodiment 2 is that in this implementation, enterprise data includes enterprise basic information, such as name, address, identification number, etc., enterprise financial information, such as annual report, tax payment, audit report, etc., enterprise qualification information, such as Enterprise honors, certificates, intellectual property rights, etc., enterprise personnel data, such as the number of personnel, educational background distribution, professional title distribution, etc., enterprise historical data, such as historical financial data, historical personnel data, etc. The comparative analysis module is also used to base on enterprise information and project requirements The information judges whether the enterprise meets the declaration conditions, and the suggestion generation module includes a cultivation proposal generation module, and the cultivation proposal generation module is also used to generate cultivation...
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