CN111652524A - Method and device for intelligently matching policy and guiding improvement path - Google Patents
Method and device for intelligently matching policy and guiding improvement path Download PDFInfo
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Abstract
The invention provides a method and a device for intelligently matching policies and guiding improvement paths, which comprises the following steps: establishing a user category according to a preset condition; acquiring policy information from a target webpage and/or a target website according to set policy acquisition conditions, indexing the acquired policy information, and storing the indexed policy information into a policy database; inputting user information and policy matching demand information, and selecting a user category needing policy matching; acquiring input user information, policy matching demand information and a selected user category, and matching policy information from stored policy information with a reference according to the acquired user category, user information and policy matching demand information; and displaying the matched policy information to the user. The method can help the user to match the corresponding support policy quickly and accurately, effectively solve the problems of time and labor waste in the existing project searching, screening, evaluating and matching, and better prepare project declaration and planning for the user.
Description
Technical Field
The invention relates to the technical field of computer artificial intelligent data processing, in particular to a method and a device for intelligently matching policies and guiding to improve paths.
Background
Under the new situation of mass innovation of the public entrepreneurship, government departments such as the country, the province, the city, the district and the like make and develop a series of good policies for supporting the innovation development of various innovation subjects. Because the policies are distributed scattered due to different types, different release times and different management departments, a large amount of time and energy are needed to search policy sources, verify the timeliness of the policies, evaluate the declaration feasibility and the like, so that various innovation bodies are not facilitated to timely and comprehensively know policy information, the policies meeting self declaration are not convenient to screen from massive policies, and project planning and declaration preparation cannot be fully and effectively made. Therefore, how to screen out the content meeting the requirement from the massive policy data becomes an important research direction in the information technology processing field.
Patent No. 201710803785.X discloses a policy big data intelligent matching system and matching method, and the technical scheme of the patent mainly provides accurate matching degree of corresponding articles through browsing habits, interest check and the like of various innovation subjects, and provides more convenient reading and searching for policy information related to various innovation subjects. The policy big data intelligent matching system and the matching method have the following problems: the method mainly identifies and recommends policy information which accords with the user through browsing habits and interests of the user, only provides effective and convenient help for the user to obtain accurate policy information, and fails to realize searching and matching of policies which accord with declaration by inputting basic conditions of the user.
Disclosure of Invention
In view of the above drawbacks of the prior art, an object of the present invention is to provide a method and an apparatus for intelligently matching and guiding policies to improve paths, which can help a user to match a corresponding support policy quickly and accurately, effectively solve the problems of time and labor consumption in the existing project search, screening, evaluation and matching, and better prepare project declaration and planning for the user.
To achieve the above and other related objects, the present invention provides an apparatus for intelligently matching policies and guiding improved paths, comprising:
the category establishing module is used for establishing a user category according to a preset condition; wherein the established user category comprises at least one of: enterprises, talents, teams, colleges, parks, hatcheries, and service organizations;
the policy management module is used for acquiring policy information from the target webpage and/or the target website according to the set policy acquisition conditions, indexing the acquired policy information and storing the indexed policy information into a policy database; wherein the policy collection condition comprises at least one of: acquiring time of the policy, keywords of the policy and weight values of the keywords of the policy;
the user management module is used for inputting user information and policy matching demand information by a user and selecting a user category needing policy matching from the established user categories;
the policy matching module is used for acquiring input user information, policy matching demand information and the selected user type, and matching one or more pieces of policy information from the indexed policy information stored in the policy database according to the acquired user type, user information and policy matching demand information;
and the display module is used for displaying the matched one or more pieces of policy information to the user.
Optionally, the process of indexing policy information in the policy management module includes:
acquiring policy information acquired from a target webpage and/or a target website according to set policy acquisition conditions;
extracting policy key information from the collected policy information; the policy key information comprises a policy making department, a policy category, policy issuing time and policy declaration ending time;
classifying and indexing the extracted policy key information according to letters and/or numbers, and forming an identification code after indexing; and each identification code corresponds to one piece of policy information.
Optionally, the policy matching module specifically includes:
acquiring user categories selected by users, input user information and policy matching demand information;
matching an identification code from the policy database according to the acquired user category, user information and policy matching demand information, and finding out corresponding policy information according to the matched identification code;
then comparing and analyzing the obtained user category, user information and policy matching information with one or more matched policy information, and calculating a matching value of each piece of matched policy information;
and acquiring all matching values, and sequencing the matched one or more pieces of policy information according to the numerical value of the matching values from high to low.
Optionally, the policy matching requirement information includes a policy keyword category; the policy keyword category includes at least one of: the business registration information class, the enterprise operation information class and the innovation research and development technology class; and one or more policy keywords corresponding to each keyword category;
the keywords corresponding to the business registration information category comprise at least one of the following keywords: registration time, registration capital, registration address, affiliated industry, and operation range;
the keywords corresponding to the enterprise operation information class comprise at least one of the following keywords: enterprise income, enterprise production value, enterprise profit, enterprise assets and enterprise employee number;
the keywords corresponding to the innovative research and development technology class include at least one of the following: research and development expense, intellectual property, scientific and technological talents, research institutions and school and enterprise cooperation.
Optionally, if the selected user category is an enterprise user, the input user information includes at least one of the following: enterprise name, registration time, registration address, intellectual property, finance, personnel, and research and development conditions.
Optionally, if the selected user category is talent or team, the input user information includes at least one of: name, date of birth, research results on the owned project, published papers, patent applications, and the number of projects undertaken.
Optionally, if the selected user category is college institute, the input user information includes at least one of: unit name, number of doctor masters and middle-high-level staff, original value of fixed assets of research and development equipment and owned intellectual property rights;
the college institutions include higher schools, scientific research institutions, governments and civil non-enterprise units.
Optionally, if the selected user category is a campus incubator, the input user information includes at least one of: the method comprises the following steps of (1) identifying the type of a new carrier, the name of an operation organization, the grade identification condition of an innovation carrier, the area of an operation site, the number of items of an incubation enterprise, the number of entrepreneurship workers, the number of full-time incubation service personnel, information of the incubation enterprise, owned entrepreneurship matching hard facilities, available entrepreneurship matching soft services, available financing services, available entrepreneurship education training, available public technical services, available enterprise scientific and technological services and available innovation entrepreneurship activities;
wherein, the garden incubator comprises a mass wound space, an incubator and a scientific and technological park.
Optionally, if the selected user category is a service organization, the input user information includes at least one of the following: unit name, establishment time, main business, total number of employees and income of the last year;
the service mechanism comprises an investment and financing mechanism, an intellectual property agency, a checking and detecting mechanism and a technology transfer mechanism.
The invention also provides a method for intelligently matching and guiding the policy to improve the path, which comprises the following steps:
establishing a user category according to a preset condition; wherein the established user category comprises at least one of: enterprises, talents, teams, colleges, parks, hatcheries, and service organizations;
acquiring policy information from a target webpage and/or a target website according to set policy acquisition conditions, indexing the acquired policy information, and storing the indexed policy information into a policy database; wherein the policy collection condition comprises at least one of: acquiring time of the policy, keywords of the policy and weight values of the keywords of the policy;
inputting user information and policy matching demand information, and selecting a user category needing policy matching from the established user categories;
acquiring input user information, policy matching demand information and a selected user category, and matching one or more pieces of policy information from indexed policy information stored in the policy database according to the acquired user category, user information and policy matching demand information;
and displaying the matched one or more pieces of policy information to the user.
As described above, the method and apparatus for policy intelligent matching and guiding to improve a route provided by the present invention have the following advantages: firstly, establishing a user category according to a preset condition; acquiring policy information from a target webpage and/or a target website according to set policy acquisition conditions, indexing the acquired policy information, and storing the indexed policy information into a policy database; inputting user information and policy matching demand information, and selecting a user category needing policy matching from the established user categories; acquiring input user information, policy matching demand information and a selected user category, and matching one or more pieces of policy information from indexed policy information stored in the policy database according to the acquired user category, user information and policy matching demand information; and displaying the matched one or more pieces of policy information to the user. The method can help the user to match the corresponding support policy quickly and accurately, effectively solve the problems of time and labor waste in the existing project searching, screening, evaluating and matching, and better prepare project declaration and planning for the user.
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FIG. 1 is a diagram illustrating a hardware configuration of an apparatus for intelligent policy matching and guiding an improved path according to an embodiment;
fig. 2 is a flowchart illustrating a method for policy intelligent matching and guiding an improvement path according to an embodiment.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Referring to fig. 1, the present invention provides an apparatus for intelligent policy matching and guiding to improve a path, including:
the category establishing module M10 is used for establishing a user category according to preset conditions; wherein the established user category comprises at least one of: enterprises, talents, teams, colleges, parks, hatcheries, and service organizations;
the policy management module M20 is configured to collect policy information from the target web page and/or the target website according to the set policy collection condition, index the collected policy information, and store the indexed policy information in the policy database; wherein the policy collection condition comprises at least one of: acquiring time of the policy, keywords of the policy and weight values of the keywords of the policy;
the user management module M30 is used for the user to input the user information and the policy matching demand information and to select the user category needing policy matching from the established user categories;
a policy matching module M40, configured to acquire input user information, policy matching demand information, and a selected user category, and match one or more pieces of policy information from indexed policy information stored in the policy database according to the acquired user category, user information, and policy matching demand information;
and a display module M50, configured to display the matched one or more pieces of policy information to the user.
Through the above record, the device can help the user to match out the corresponding support policy quickly and accurately, effectively solve the problems of time and labor waste in the existing project searching, screening, evaluating and matching, and better prepare project declaration planning for the user.
In an exemplary embodiment, as shown in table 1, the policy matching requirement information includes a policy keyword category; the policy keyword category includes at least one of: the business registration information class, the enterprise operation information class and the innovation research and development technology class; and one or more policy keywords corresponding to each keyword category;
the keywords corresponding to the business registration information category comprise at least one of the following keywords: registration time, registration capital, registration address, affiliated industry, and operation range;
the keywords corresponding to the enterprise operation information class comprise at least one of the following keywords: enterprise income, enterprise production value, enterprise profit, enterprise assets and enterprise employee number;
the keywords corresponding to the innovative research and development technology class include at least one of the following: research and development expense, intellectual property, scientific and technological talents, research institutions and school and enterprise cooperation.
TABLE 1 policy keyword categories
Specifically, a time capture rule of a target tracking webpage and policy content, a screening keyword of the content and a keyword matching weight value are set through a webpage tracking and content intelligent screening program, and after the setting is finished, a capture policy starting device is operated. Because the traditional crawler tool captures the policy contents, the selection and rejection of the contents are judged manually; after the device sets the grabbing conditions, the policy contents are automatically screened, manual judgment work is not needed or simplified, and therefore the content grabbing accuracy can be improved.
In one embodiment, for example:
setting the target webpage to be tracked as follows: XX science and technology bureau official network;
setting the policy content capturing time as follows: starting from 00:00 in the morning every day, capturing all new contents of yesterday;
setting a policy content screening keyword: the policy keywords (some keywords can be selected) in the policy keyword library;
setting the weight value of the policy keyword: firstly, setting the word frequency of the occurrence of the keyword, such as 1, namely, 1 occurrence is regarded as coincidence; if the number is 2, the keyword is matched after 2 occurrences; and secondly, setting the appearance proportion of the key phrases. In the embodiment of the application, 5 keywords are selected as keyword phrases, the set specific gravity value is 80%, and the content meets the requirements of people as long as 4 words in the content are matched with the words in the keyword phrases. Otherwise, automatically rejecting the product. This device is revised through manual intervention, constantly improves the screening precision.
In another embodiment, as shown in table 2, the article of the official website of XX city science and technology bureau is set according to the keyword library in table 1 to capture the matched keyword group.
TABLE 2 Key phrases
According to the key phrases set in table 2, policy contents meeting the requirements can be regularly collected from the target website or the target webpage.
In an exemplary embodiment, the process of indexing the policy information in the policy management module M20 includes:
acquiring policy information acquired from a target webpage and/or a target website according to set policy acquisition conditions;
extracting policy key information from the collected policy information; the policy key information comprises a policy making department, a policy category, policy issuing time and policy declaration ending time;
classifying and indexing the extracted policy key information according to letters and/or numbers, and forming an identification code after indexing; and each identification code corresponds to one piece of policy information.
As an example, the target policy is automatically collected through the aforementioned web tracking and content smart screening program. And (4) classifying the collected policies by using mixed marks of letters and numbers, and indexing all the policies. For example, in the policy making department, the letters corresponding to the scientific and technological bureau are CHKJJ, the letters corresponding to the economic and informatization Committee are CHSCJXW, wherein CHSC represents Sichuan China, KJJ represents the pinyin initial letters of the scientific and technological bureau, and JXW represents the letter of the; such as: classifying policies, wherein the corresponding letter of the human resource policy is RLZY, and the corresponding letter of the technical improvement policy is JSGZ; as another example, the policy issuance time, 3/5/2020, corresponds to 20200305; the policy declaration end time is 2020, 5, 8 days, and the corresponding number is 20200508. Then, a string of codes marked as chsckjrlzy 2020010120200501 corresponds to a unique code of the project policy of which the issuing department is the sichuan scientific and technological bureau in china, the type is a human resource class, the starting time is 1 month and 1 day in 2020, and the ending time is 5 months and 1 day in 2020. Through the indexing mode, all collected policies form a unique identification code in a policy database, and the unique identification code is in one-to-one association with the policy. By way of example, a policy database is established as shown in Table 3.
Table 3 created policy database
In an exemplary embodiment, the policy matching module M40 specifically includes:
acquiring user categories selected by users, input user information and policy matching demand information;
matching an identification code from the policy database according to the acquired user category, user information and policy matching demand information, and finding out corresponding policy information according to the matched identification code;
then comparing and analyzing the obtained user category, user information and policy matching information with one or more matched policy information, and calculating a matching value of each piece of matched policy information;
and acquiring all matching values, and sequencing the matched one or more pieces of policy information according to the numerical value of the matching values from high to low.
Specifically, a TF-IDF algorithm is used for extracting key matching conditions for the collected and filed policies by referring to a policy condition keyword library. And classifying by using an ABC classification method, distinguishing the strength relation of the extracted matching conditions from the strength relation of the conditions, and sequencing to form a policy matching condition group.
As an example, according to the descriptions in table 1 and table 3, the original document of the policy original document library is run against the policy condition keyword database, and the high and new technology enterprise policy original document labeled chkjkjkcx 2020010120200501 is obtained. The content is as follows:
when the enterprise applies for approval, the registration time is more than one year.
And (II) enterprises acquire ownership of intellectual property rights which play a core supporting role in the technology of main products (services) of the enterprises in modes of independent research and development, giving away, parallel purchase and the like.
And (III) the technology which plays a core supporting role for main products (services) of enterprises belongs to the range specified in the high and new technology field of national key support.
And (IV) the proportion of scientific and technical personnel engaged in research and development and related technical innovation activities of the enterprise in the total number of the employees of the enterprise in the current year is not less than 10%.
And (V) the proportion of the total research and development cost of the enterprise in three accounting years (the actual operating period is less than three years, calculated according to the actual operating time, the same below) to the total sales income in the same period meets the following requirements:
1. enterprises with income less than 5,000 ten thousand yuan (inclusive) are sold in the last year, and the proportion is not less than 5 percent;
2. enterprises with income of 5,000 ten thousand yuan to 2 million yuan (inclusive) are sold in the last year, and the proportion is not less than 4 percent;
3. enterprises with income more than 2 hundred million yuan are sold in the last year, and the proportion is not lower than 3 percent;
wherein, the proportion of the total research and development cost of the enterprise in China to the total research and development cost is not less than 60%. "
The operation results are as follows: the words such as registration time, intellectual property, technical staff, total number of workers, sales income, research and development expenses and the like in the keyword library appear in the policy content, the word frequency value is greater than 0, the words such as Chinese registered capital, profit, total asset value, net asset value, research and development reserve money and the like in the keyword library do not appear, and the word frequency value is 0. Therefore, the embodiment of the application can extract keywords such as registration time, intellectual property, technical staff, total number of employees, sales income, research and development cost and the like as key matching conditions of the policy. And (4) comparing the keyword library in the table 1, extracting the keywords contained in the policy in classification, and forming a matching condition group, as shown in the table 4.
Matching condition set formed in table 4
The policy original file and the matching condition group of the policy form a one-to-one correspondence relationship, and finally form a policy interpretation file library, as shown in table 5.
Table 5 forms a policy interpretation document library
In any of the above embodiments, if the selected user category is an enterprise user, the input user information includes at least one of: enterprise name, registration time, registration address, intellectual property, finance, personnel, and research and development conditions; the enterprise users comprise various scientific and technological enterprises which are registered and established by industry and commerce.
If the selected user category is talent or team, the input user information includes at least one of: name, date of birth, research results on the owned project, published papers, patent applications, and the number of projects undertaken.
If the selected user category is college institute, the input user information includes at least one of: unit name, number of doctor masters and middle-high-level staff, original value of fixed assets of research and development equipment and owned intellectual property rights; the college institutions include higher schools, scientific research institutions, governments and civil non-enterprise units.
If the selected user category is a campus incubator, the input user information includes at least one of: the method comprises the following steps of (1) identifying the type of a new carrier, the name of an operation organization, the grade identification condition of an innovation carrier, the area of an operation site, the number of items of an incubation enterprise, the number of entrepreneurship workers, the number of full-time incubation service personnel, information of the incubation enterprise, owned entrepreneurship matching hard facilities, available entrepreneurship matching soft services, available financing services, available entrepreneurship education training, available public technical services, available enterprise scientific and technological services and available innovation entrepreneurship activities; wherein, the garden incubator comprises a mass wound space, an incubator and a scientific and technological park.
If the selected user category is a service organization, the input user information comprises at least one of the following: unit name, establishment time, main business, total number of employees and income of the last year; the service mechanism comprises an investment and financing mechanism, an intellectual property agency, a checking and detecting mechanism and a technology transfer mechanism.
According to the above description, the application takes enterprise users as an example, creates an enterprise user information base, and faithfully fills in the information of the software enterprise A; as shown in table 6.
TABLE 6 Enterprise subscriber information repository created
Comparing and analyzing the user information with the matching condition groups of all policies in the policy library one by using algorithms such as comparative analysis and the like, and calculating a matching value; the larger the matching value is, the higher the matching performance is, otherwise, the lower the matching performance is; the matching values for each policy are then ranked high. The policy matching results for software enterprise a are shown in table 7.
TABLE 7 policy matching results for software Enterprise A
The result is displayed, and the matching degree of the information of the software enterprise A and the key condition requirement of the policy CHSCKJRLZY 2020010120200501 is 100%.
The device firstly establishes user categories according to preset conditions; acquiring policy information from a target webpage and/or a target website according to set policy acquisition conditions, indexing the acquired policy information, and storing the indexed policy information into a policy database; inputting user information and policy matching demand information, and selecting a user category needing policy matching from the established user categories; acquiring input user information, policy matching demand information and a selected user category, and matching one or more pieces of policy information from indexed policy information stored in the policy database according to the acquired user category, user information and policy matching demand information; and displaying the matched one or more pieces of policy information to the user. The method can help the user to match the corresponding support policy quickly and accurately, effectively solve the problems of time and labor waste in the existing project searching, screening, evaluating and matching, and better prepare project declaration and planning for the user.
As shown in fig. 2, the present invention further provides a method for intelligently matching policies and guiding improvement paths, comprising the following steps:
s100, establishing a user category according to a preset condition; wherein the established user category comprises at least one of: enterprises, talents, teams, colleges, parks, hatcheries, and service organizations;
s200, acquiring policy information from a target webpage and/or a target website according to set policy acquisition conditions, indexing the acquired policy information, and storing the indexed policy information into a policy database; wherein the policy collection condition comprises at least one of: acquiring time of the policy, keywords of the policy and weight values of the keywords of the policy;
s300, inputting user information and policy matching demand information, and selecting a user category needing policy matching from the established user categories;
s400, acquiring input user information, policy matching demand information and a selected user category, and matching one or more pieces of policy information from indexed policy information stored in the policy database according to the acquired user category, user information and policy matching demand information;
and S500, displaying the matched one or more pieces of policy information to a user.
In this embodiment, the method executes the apparatus, and specific functions and technical effects are described with reference to the above embodiments, which are not described herein again.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. An apparatus for intelligent policy matching and guidance to improve routing, comprising:
the category establishing module is used for establishing a user category according to a preset condition; wherein the established user category comprises at least one of: enterprises, talents, teams, colleges, parks, hatcheries, and service organizations;
the policy management module is used for acquiring policy information from the target webpage and/or the target website according to the set policy acquisition conditions, indexing the acquired policy information and storing the indexed policy information into a policy database; wherein the policy collection condition comprises at least one of: acquiring time of the policy, keywords of the policy and weight values of the keywords of the policy;
the user management module is used for inputting user information and policy matching demand information by a user and selecting a user category needing policy matching from the established user categories;
the policy matching module is used for acquiring input user information, policy matching demand information and the selected user type, and matching one or more pieces of policy information from the indexed policy information stored in the policy database according to the acquired user type, user information and policy matching demand information;
and the display module is used for displaying the matched one or more pieces of policy information to the user.
2. The apparatus of claim 1, wherein the process of indexing policy information in the policy management module comprises:
acquiring policy information acquired from a target webpage and/or a target website according to set policy acquisition conditions;
extracting policy key information from the collected policy information; the policy key information comprises a policy making department, a policy category, policy issuing time and policy declaration ending time;
classifying and indexing the extracted policy key information according to letters and/or numbers, and forming an identification code after indexing; and each identification code corresponds to one piece of policy information.
3. The apparatus of claim 2, wherein the policy matching module comprises:
acquiring user categories selected by users, input user information and policy matching demand information;
matching an identification code from the policy database according to the acquired user category, user information and policy matching demand information, and finding out corresponding policy information according to the matched identification code;
then comparing and analyzing the obtained user category, user information and policy matching information with one or more matched policy information, and calculating a matching value of each piece of matched policy information;
and acquiring all matching values, and sequencing the matched one or more pieces of policy information according to the numerical value of the matching values from high to low.
4. The apparatus of claim 1, wherein the policy matching requirement information comprises a category of policy keywords; the policy keyword category includes at least one of: the business registration information class, the enterprise operation information class and the innovation research and development technology class; and one or more policy keywords corresponding to each keyword category;
the keywords corresponding to the business registration information category comprise at least one of the following keywords: registration time, registration capital, registration address, affiliated industry, and operation range;
the keywords corresponding to the enterprise operation information class comprise at least one of the following keywords: enterprise income, enterprise production value, enterprise profit, enterprise assets and enterprise employee number;
the keywords corresponding to the innovative research and development technology class include at least one of the following: research and development expense, intellectual property, scientific and technological talents, research institutions and school and enterprise cooperation.
5. The apparatus for intelligent policy matching and guidance for route improvement according to any one of claims 1-4, wherein if the selected user category is enterprise users, the input user information includes at least one of: enterprise name, registration time, registration address, intellectual property, finance, personnel, and research and development conditions.
6. The apparatus for intelligent matching of policies and guidance for improvement of paths according to any one of claims 1 to 4, wherein if the selected category of users is talent or team, the inputted user information includes at least one of: name, date of birth, research results on the owned project, published papers, patent applications, and the number of projects undertaken.
7. The apparatus for intelligent policy matching and guidance for improvement of path according to any one of claims 1-4, wherein if the selected user category is college entrance, the inputted user information includes at least one of: unit name, number of doctor masters and middle-high-level staff, original value of fixed assets of research and development equipment and owned intellectual property rights;
the college institutions include higher schools, scientific research institutions, governments and civil non-enterprise units.
8. The apparatus for intelligent policy matching and guidance for improvement of path according to any one of claims 1-4, wherein if the selected user category is campus incubator, the inputted user information includes at least one of: the method comprises the following steps of (1) identifying the type of a new carrier, the name of an operation organization, the grade identification condition of an innovation carrier, the area of an operation site, the number of items of an incubation enterprise, the number of entrepreneurship workers, the number of full-time incubation service personnel, information of the incubation enterprise, owned entrepreneurship matching hard facilities, available entrepreneurship matching soft services, available financing services, available entrepreneurship education training, available public technical services, available enterprise scientific and technological services and available innovation entrepreneurship activities;
wherein, the garden incubator comprises a mass wound space, an incubator and a scientific and technological park.
9. The apparatus for intelligent policy matching and guidance for improvement of routing according to any one of claims 1-4, wherein if the selected user category is a service organization, the input user information includes at least one of: unit name, establishment time, main business, total number of employees and income of the last year;
the service mechanism comprises an investment and financing mechanism, an intellectual property agency, a checking and detecting mechanism and a technology transfer mechanism.
10. A method for intelligently matching and guiding policy to improve a path is characterized by comprising the following steps:
establishing a user category according to a preset condition; wherein the established user category comprises at least one of: enterprises, talents, teams, colleges, parks, hatcheries, and service organizations;
acquiring policy information from a target webpage and/or a target website according to set policy acquisition conditions, indexing the acquired policy information, and storing the indexed policy information into a policy database; wherein the policy collection condition comprises at least one of: acquiring time of the policy, keywords of the policy and weight values of the keywords of the policy;
inputting user information and policy matching demand information, and selecting a user category needing policy matching from the established user categories;
acquiring input user information, policy matching demand information and a selected user category, and matching one or more pieces of policy information from indexed policy information stored in the policy database according to the acquired user category, user information and policy matching demand information;
and displaying the matched one or more pieces of policy information to the user.
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