CN114356885A - Intelligent matching method for scientific and technological service projects, storage medium and equipment - Google Patents
Intelligent matching method for scientific and technological service projects, storage medium and equipment Download PDFInfo
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- CN114356885A CN114356885A CN202111645390.4A CN202111645390A CN114356885A CN 114356885 A CN114356885 A CN 114356885A CN 202111645390 A CN202111645390 A CN 202111645390A CN 114356885 A CN114356885 A CN 114356885A
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Abstract
The invention relates to a scientific and technological service project intelligent matching method, a storage medium and equipment, wherein the method comprises the following steps of cleaning and converting acquired enterprise information from unstructured or semi-structured data into an enterprise data model, storing the enterprise data model into corresponding dimensionality in the model, and putting the enterprise data model into an enterprise information module for management; identifying the acquired partial attributes of the scientific and technological project information according to the preset 'hard dimension' of the system, including region, time and industry extraction, and dividing declaration conditions into a plurality of 'declaration tags' according to labels; manually intervening to check the 'declaration label' to associate 'dimensionality' and setting a condition value; selecting scientific and technological items to match with corresponding enterprises according to set rules; and after the matching result is checked, the matching result is sent to the corresponding contact way in the enterprise data model through the mobile communication technology. The invention has high matching speed through computer processing technical items, and simultaneously informs the enterprise contact persons of the information, so that the enterprise can master effective information in time.
Description
Technical Field
The invention relates to the technical field of data acquisition and processing, in particular to an intelligent matching method, a storage medium and equipment for scientific and technological service projects.
Background
The state encourages innovation and establishment, governments of all parts successively make policies, enterprises meeting conditions can declare scientific and technological projects and enjoy favorable policies such as fund support, tax deduction and exemption and the like which are beneficial to the development of the enterprises, but the enterprises are limited by multiple factors such as regions, time, industries, management departments, issuing modes, message transmission modes and the like, and are difficult to acquire scientific and technological project information matched with the enterprises.
Disclosure of Invention
The intelligent matching method, system and equipment for the scientific and technological service projects can help enterprises to obtain scientific and technological project information meeting reporting conditions in time and make project reporting planning preparation work for the enterprises better.
In order to achieve the purpose, the invention adopts the following technical scheme:
an intelligent matching method for scientific and technological service projects, which executes the following steps through computer equipment,
s1, collecting and storing enterprise information;
s2, collecting and storing scientific and technological project information;
s3, cleaning and converting the enterprise information from unstructured or semi-structured data into an enterprise data model, storing the enterprise data model into corresponding dimensionality in the model, and putting the enterprise data model into an enterprise information module for management;
s4, identifying the collected partial attributes of the scientific and technological project information according to the preset 'hard dimension' of the system, extracting the attributes including regions, time and industries, and splitting the declaration conditions into a plurality of 'declaration tags' according to the labels; manually intervening to check the 'declaration label' to associate 'dimensionality' and setting a condition value;
s5, selecting scientific and technological items to match with corresponding enterprises according to set rules;
and S6, after the matching result is checked, sending the matching result to a corresponding contact way in the enterprise data model through a mobile communication technology.
Further, step S4, identifying the collected partial attributes of the scientific and technological project information according to a system preset "hard dimension" including extraction of regions, time, and industries, and splitting the declaration conditions into a plurality of "declaration tags" according to the labels, specifically including:
collecting project declaration information from national, provincial, municipal and regional government websites through a data acquisition module, retrieving a region where a project is located in the information, putting system project declaration 'hard dimension' when declaration begins to be carried out by time and the like, freely combining tags according to a 'grouping matching' algorithm by other information to generate a project declaration tag library, judging tag validity through manual intervention, selecting invalid types, recording a judgment result by a system, putting the judgment result into a machine learning word library, identifying interference information by the invalid type tags according to preset conditions, and avoiding the interference information when extracting other project tags.
Further, step S5, selecting a scientific and technological project to match with the corresponding enterprise according to the set rules, specifically including,
the project management module is used for carrying out centralized management on the scientific and technical projects, displaying the effectiveness of the projects according to the declaration interception time, selecting project viewing details, displaying project declaration tags, clicking a 'retrieval matching' button, and extracting enterprises meeting the condition that the declaration tags are set to be 'declaration tag' association 'dimension' in S4.
Further, step S1 is to form an enterprise directory by collecting the national enterprise information system, sequentially collect the enterprise public information according to the directory, and store the enterprise public information in the enterprise-related data warehouse.
Further, step S3 is to classify the obtained information into categories according to the business content and keywords, to form a business directory of a plurality of domain modules, to collect information from the national official document web, the Chinese executive information public web, the national intellectual property office, the trademark office copyright office, the scientific and technological project public system, to complete the enterprise portrait, to store the "dimension" attribute corresponding to the enterprise model, to manage in the enterprise management module.
Further, the recommendation method for matching in step S5 is as follows:
a1, the enterprise information module checks the basic information of the enterprise by collecting the administrative punishment information, the listed abnormal operation name list information and the listed serious illegal losing enterprise list information of the enterprise in the national enterprise information company system, wherein the information is the preferential recommendation of the occurrence condition, and the system with the listed serious illegal losing enterprise list information directly carries out shielding treatment;
a2, the enterprise information module portrays the enterprise by collecting the qualification condition, credit condition, registration condition, fixed asset, intellectual property, financial condition, enterprise qualification, bidding information, social reputation and performance certification of the enterprise;
a3 combining the data from step A1 and step A2 with the 'claim label' comprehensive assessment recommendations for the item in S4.
In yet another aspect, the present invention also discloses a computer readable storage medium storing a computer program, which when executed by a processor causes the processor to perform the steps of the method as described above.
In yet another aspect, the present invention also discloses a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the above method.
According to the technical scheme, the acquired enterprise information is stored in the data model base and is decomposed into different label attributes, and the scientific and technological project information is automatically matched with hard indexes such as regions, time validity and the like to reduce the data range; the dimension in the enterprise model can be associated with the science and technology project declaration label through manual processing according to the declaration requirement label of the science and technology project information, so that the accuracy of data matching is ensured; the computer processing technology project matching speed is high, and simultaneously, the information is notified to enterprise contacts, so that the enterprises can master effective information in time.
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FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
As shown in fig. 1, the intelligent matching method for scientific and technical service projects according to this embodiment executes the following steps by using a computer device,
1) collecting and storing enterprise information;
2) collecting and storing scientific and technical project information;
3) cleaning and converting enterprise information from unstructured or semi-structured data into an enterprise data model, storing the enterprise information into corresponding dimensionality in the model, and putting the enterprise information into an enterprise information module for management;
4) identifying the acquired partial attributes of the science and technology project information according to a system preset hard dimension (for example: region, time, industry and the like), and the declaration conditions are divided into a plurality of declaration tags according to the labels;
the method specifically comprises the following steps: the data acquisition module collects project declaration information of various items from national, provincial, municipal and regional government websites, retrieves the region where the item is located in the information, puts the declaration starting time and the like into a system project declaration ' hard dimension ', freely combines tags according to a ' grouping matching ' algorithm for other information, generates a project declaration tag ' tag library, judges the validity of the tags through manual intervention, selects invalid types, records the judgment result by the system, puts the judgment result into a machine learning word library, and identifies interference information according to preset conditions for the invalid types of tags, wherein the interference information does not appear when extracting other item tags.
Manually intervening to check the 'declaration label' to associate 'dimensionality' and setting a condition value;
5) selecting scientific and technological items to match with corresponding enterprises according to set rules;
the method specifically comprises the following steps: the project management module is used for carrying out centralized management on the scientific and technical projects, displaying the effectiveness of the projects according to the declaration interception time, selecting project viewing details, displaying project declaration tags, clicking a 'retrieval matching' button, and extracting enterprises meeting the related 'dimension' condition set in the step 5).
6) And after the matching result is checked, sending the matching result to a corresponding contact way in the enterprise data model through a mobile communication technology: the mobile phone number is 'dimension'.
The following are exemplified:
the system that this embodiment corresponds is equipped with the data acquisition module, through collecting national enterprise information system, scientific and technological project public system, patent publication information, publicly move bid information, enterprise official website etc. and accomplish the enterprise and portrait, collects each item information of declaring from national, province, city, district government website and accomplishes the project and portrait.
The system is provided with an enterprise management module for managing, retrieving, modifying and perfecting enterprise information according to enterprise portrait 'dimension'.
The system is provided with a project management module, manages, retrieves, modifies and perfects project information, and sets the 'dimensionality' of an associated enterprise image and a declaration condition value.
The method specifically comprises the following steps:
s1, forming an enterprise directory by acquiring a national enterprise information system, sequentially acquiring enterprise public information according to the directory, and storing the enterprise public information into an enterprise associated data warehouse;
s2, uniformly classifying and arranging the acquired information, classifying the enterprises according to the enterprise operation content and keywords to form enterprise directories of a plurality of field modules, collecting information from a Chinese judge document network, a Chinese executive information public network, a national intellectual property bureau, a trademark office copyright bureau, a scientific and technological project public indication system, publicly bidding information, an enterprise official network, an enterprise yellow page and the like to finish enterprise images, storing the dimension attributes corresponding to the enterprise models, and managing the enterprise images in an enterprise management module;
s3, the data acquisition module collects project declaration information from national, provincial, municipal and regional government websites, retrieves the region where the project is located in the information, puts the 'hard dimension' of the system project declaration by declaring the beginning time and the like, freely combines the labels of other information according to a 'grouping matching' algorithm, generates a 'declaration label' label library of the project, judges the label validity through manual intervention, selects an invalid type, records the judgment result by the system, puts the judgment result into a machine learning word library, identifies interference information according to preset conditions by the label of the invalid type, does not appear when extracting the labels of other projects, and finishes project portrayal;
s4, manually intervening to check the dimension of the related enterprise portrait with the declaration label of the project portrait and set declaration condition values;
s5, the project management module performs centralized management on the scientific and technical projects, displays the effectiveness of the projects according to declaration interception time, selects project viewing details, displays project declaration tags, clicks a 'retrieval matching' button, and extracts enterprises meeting the set associated 'dimension' condition by taking the declaration tags as the condition;
and S6, the matching result is checked and then sent to the corresponding contact way in the enterprise data model through the mobile communication technology.
The recommendation method for retrieving the matching in step S5 is as follows:
a1, the enterprise information module checks the basic information of the enterprise by collecting the administrative punishment information, the listing in abnormal business name list information and the listing in the serious illegal lost information enterprise list (blacklist) information of the enterprise in the national enterprise information company system. All the above are preferential recommendations of occurrence conditions. The system for listing the information of the enterprise list (blacklist) with serious illegal and lost communication directly carries out shielding treatment.
A2, the enterprise information module portrays the enterprise by collecting the qualification, credit, registration, fixed assets, intellectual property, financial, enterprise qualification, bidding information, social reputation and performance certification.
A3 combining the data from step A1 and step A2 with the 'claim label' comprehensive assessment recommendations for the item in S4.
According to the intelligent matching method for the scientific and technological service project, the obtained enterprise information is stored in the data model base and is decomposed into different label attributes, and the scientific and technological project information is automatically matched with hard indexes such as region and time validity, so that the data range is reduced; the dimension in the enterprise model can be associated with the science and technology project declaration label through manual processing according to the declaration requirement label of the science and technology project information, so that the accuracy of data matching is ensured; the embodiment of the invention has high matching speed of computer processing technical items, and simultaneously informs the enterprise contact persons of the information, so that the enterprise can master effective information in time.
In yet another aspect, the present invention also discloses a computer readable storage medium storing a computer program, which when executed by a processor causes the processor to perform the steps of the method as described above.
In yet another aspect, the present invention also discloses a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the above method.
In another embodiment provided by the present application, there is also provided a computer program product containing instructions, which when run on a computer, causes the computer to execute any one of the above-mentioned intelligent matching methods for science and technology services.
It is understood that the system provided by the embodiment of the present invention corresponds to the method provided by the embodiment of the present invention, and the explanation, the example and the beneficial effects of the related contents can refer to the corresponding parts in the method.
The embodiment of the application also provides an electronic device, which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus,
a memory for storing a computer program;
the processor is used for realizing the intelligent matching method of the scientific and technological service projects when executing the programs stored in the memory, and the method comprises the following steps:
s1, collecting and storing enterprise information;
s2, collecting and storing scientific and technological project information;
s3, cleaning and converting the enterprise information from unstructured or semi-structured data into an enterprise data model, storing the enterprise data model into corresponding dimensionality in the model, and putting the enterprise data model into an enterprise information module for management;
s4, identifying the collected partial attributes of the scientific and technological project information according to the preset 'hard dimension' of the system, extracting the attributes including regions, time and industries, and splitting the declaration conditions into a plurality of 'declaration tags' according to the labels; manually intervening to check the 'declaration label' to associate 'dimensionality' and setting a condition value;
s5, selecting scientific and technological items to match with corresponding enterprises according to set rules;
and S6, after the matching result is checked, sending the matching result to a corresponding contact way in the enterprise data model through a mobile communication technology.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus may be divided into an address bus, a data bus, a control bus, etc.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other Programmable logic devices, discrete Gate or transistor logic devices, or discrete hardware components.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (8)
1. An intelligent matching method for scientific and technological service projects is characterized by comprising the following steps,
s1, collecting and storing enterprise information;
s2, collecting and storing scientific and technological project information;
s3, cleaning and converting the enterprise information from unstructured or semi-structured data into an enterprise data model, storing the enterprise data model into corresponding dimensionality in the model, and putting the enterprise data model into an enterprise information module for management;
s4, identifying the collected partial attributes of the scientific and technological project information according to the preset 'hard dimension' of the system, extracting the attributes including regions, time and industries, and splitting the declaration conditions into a plurality of 'declaration tags' according to the labels; manually intervening to check the 'declaration label' to associate 'dimensionality' and setting a condition value;
s5, selecting scientific and technological items to match with corresponding enterprises according to set rules;
and S6, after the matching result is checked, sending the matching result to a corresponding contact way in the enterprise data model through a mobile communication technology.
2. The intelligent matching method for science and technology service projects according to claim 1, wherein the intelligent matching method comprises the following steps:
step S4, identifying the collected partial attributes of the scientific and technological project information according to the preset 'hard dimensionality' of the system, including the extraction of regions, time and industries, dividing the declaration conditions into a plurality of 'declaration labels' according to labels, and specifically comprising the following steps:
collecting project declaration information from national, provincial, municipal and regional government websites through a data acquisition module, retrieving a region where a project is located in the information, putting system project declaration 'hard dimension' when declaration begins to be carried out by time and the like, freely combining tags according to a 'grouping matching' algorithm by other information to generate a project declaration tag library, judging tag validity through manual intervention, selecting invalid types, recording a judgment result by a system, putting the judgment result into a machine learning word library, identifying interference information by the invalid type tags according to preset conditions, and avoiding the interference information when extracting other project tags.
3. The intelligent matching method for science and technology service projects according to claim 2, wherein the intelligent matching method comprises the following steps: step S6, selecting science and technology project to match with the corresponding enterprise according to the set rule,
the project management module is used for carrying out centralized management on the scientific and technical projects, displaying the effectiveness of the projects according to the declaration interception time, selecting project viewing details, displaying project declaration tags, clicking a 'retrieval matching' button, and extracting enterprises meeting the condition that the declaration tags are set to be 'declaration tag' association 'dimension' in S4.
4. The intelligent matching method for science and technology service projects according to claim 1, wherein the intelligent matching method comprises the following steps:
step S1 is to form an enterprise directory by collecting the national enterprise information system, collect the enterprise public information in sequence according to the directory, and store the information in the enterprise-related data warehouse.
5. The intelligent matching method for science and technology service projects according to claim 1, wherein the intelligent matching method comprises the following steps:
step S3 is to classify and sort the acquired information uniformly, classify the enterprises according to the enterprise operation content and keywords, form enterprise directories of several field modules, collect information from the national judge document network, the Chinese executive information public network, the national intellectual property bureau, the trademark office copyright bureau, the scientific and technological project public system, publicly bid information, the enterprise official network, and the enterprise yellow pages, complete enterprise images, store the 'dimension' attribute corresponding to the enterprise model, and manage in the enterprise management module.
6. The intelligent matching method for science and technology service projects according to claim 1, wherein the intelligent matching method comprises the following steps:
the recommendation method for matching in step S5 is:
a1, the enterprise information module checks the basic information of the enterprise by collecting the administrative punishment information, the listed abnormal operation name list information and the listed serious illegal losing enterprise list information of the enterprise in the national enterprise information company system, wherein the information is the preferential recommendation of the occurrence condition, and the system with the listed serious illegal losing enterprise list information directly carries out shielding treatment;
a2, the enterprise information module portrays the enterprise by collecting the qualification condition, credit condition, registration condition, fixed asset, intellectual property, financial condition, enterprise qualification, bidding information, social reputation and performance certification of the enterprise;
a3 combining the data from step A1 and step A2 with the 'claim label' comprehensive assessment recommendations for the item in S4.
7. A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 6.
8. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 6.
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Cited By (1)
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Application publication date: 20220415 |