Big data-based intelligent analysis and recommendation method for medical and creative policies

Abstract

The invention discloses a big data-based intelligent analysis and recommendation method for department and creative policies, and relates to the technical field of big data analysis, and the method comprises the steps of 1, department and creative policy analysis, 2, company analysis, 3, policy and stock correlation analysis, 4, policy and college correlation analysis, and 5, department and creative policy recommendation. According to the method, on one hand, the public investment attention of each demand technical field to which the target company belongs is obtained by analyzing each related stock to which each technical field belongs, and the credibility of medical and creative policy recommendation is improved, on the other hand, the feedback of the medical and creative policies in colleges is obtained by analyzing the college support of each demand technical field to which the target company belongs, and the reliability of medical and creative policy recommendation is improved. And for the technical field which is not in contact with the target company, whether other regions are strongly supported or not can be analyzed, and the target company is helped to grasp the opportunity of developing the technical field which is not in contact with the target company.

Description

Technical Field

[0001] The present invention relates to the technical field of big data analysis, and in particular to a method for intelligent analysis and recommendation of science and technology innovation policies based on big data. Background Art

[0002] If technology companies want to develop rapidly, they must rely on the support of science and technology innovation policies. In recent years, various regions have introduced a variety of science and technology innovation policies in various technical fields, aiming to reduce the costs of technology companies, promote industrial upgrading, and stimulate the vitality of independent research and development of enterprises. However, when enterprises obtain science and technology innovation policies, they are prone to problems of being too inefficient due to manual screening of a large number of science and technology innovation policies, resulting in information asymmetry, inaccurate clustering, and poor matching effects of science and technology innovation policies, which affect the effective use of science and technology innovation policies by enterprises. Therefore, it is very necessary to conduct intelligent analysis and recommendation of science and technology innovation policies for enterprises.

[0003] The existing intelligent analysis and recommendation technologies for science and technology innovation policies can basically meet current needs, but there are still certain defects, which are specifically manifested in the following aspects: (1) The existing technology is not reasonable in collecting public attention to science and technology innovation policies. Most of the existing technologies for collecting public support are questionnaire surveys. On the one hand, if the questions in the questionnaire survey are too simple, the respondents will be restricted in their answers. On the other hand, if the questions in the questionnaire survey are too complex, the final questionnaire survey results will be distorted. In addition, questionnaire surveys are difficult to survey the public nationwide, while stocks are open to the public nationwide and data is easier to collect. After the science and technology innovation policy is released, if it attracts public attention, the stock prices of the stocks in the technology fields corresponding to the science and technology innovation policy will also rise accordingly, which to a certain extent reflects the public's attention to the science and technology innovation policy. If stocks are not used to collect the public's attention to the science and technology innovation policy, the credibility of the collected public data will be reduced, and it will be impossible to accurately grasp the public's attention to the science and technology innovation policy.

[0004] (2) Existing technologies do not pay enough attention to the support of universities for science and technology innovation policies as an analysis and recommendation indicator. As pioneers in the education industry, universities often need to cultivate relevant talents to implement science and technology innovation policies. For majors in technical fields related to science and technology innovation policies, universities can increase the number of admissions, science and technology innovation subsidies, and the number of teachers recruited in related majors to provide feedback on their support for the corresponding science and technology innovation policies. If the support of universities for science and technology innovation policies is not collected, the analysis of science and technology innovation policies will lack credibility, reduce the accuracy of science and technology innovation policy recommendations, and thus reduce the target company's stickiness to the platform.

[0005] (3) Existing technologies lack a certain amount of attention in analyzing and recommending technology fields that the target company has not touched. When recommending science and technology innovation policies to the target company, existing technologies are prone to only focus on the target company's current technology fields and lack analysis of technology fields that the target company has not touched. It is possible that technology fields that the target company has not touched are strongly supported in other regions with higher GDP, and many corresponding science and technology innovation policies are introduced, causing the target company to miss the opportunity to develop technology fields that it has not touched, reducing the target company's effective use of science and technology innovation policies, and thus having a negative impact on the target company's future planning. Summary of the invention

[0006] The purpose of the present invention is to provide a method for intelligent analysis and recommendation of science and technology innovation policies based on big data, which solves the problems existing in the background technology.

[0007] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a method for intelligent analysis and recommendation of science and technology innovation policies based on big data, including: Step 1. Science and technology innovation policy analysis: obtain the GDP value of each region from the official platform of each region through a crawler, and obtain various science and technology innovation policies of each region from the science and technology innovation policy release platform, extract the technical fields and release time points corresponding to each science and technology innovation policy of each region, and map the science and technology innovation policies corresponding to each technical field of each region and their corresponding release time points, and analyze the timeliness of each science and technology innovation policy corresponding to each technical field of each region.

[0008] Step 2. Company analysis: Obtain the number of employees, R&D funding, number of patents and number of academic papers in the target company's region and in each technical field, analyze the target company's various demand technology fields and untouchable technology fields, and evaluate the support level of the target company's region for each technical field.

[0009] Step 3. Analysis of the correlation between policies and stocks: Use crawlers to obtain the stock prices of relevant stocks in various technology fields at various monitoring time points from the stock platform, and analyze the public investment attention in various demand technology fields of the target company. R , where R is the number of each required technical field of the target company, R=1,2,…,S, and S is a positive integer greater than 2.

[0010] Step 4. Analysis of the correlation between policies and universities: Use crawlers to obtain data information corresponding to the three levels of each major of each university from the university platform, and analyze the university support σ in each required technology field of the target company R .

[0011] Step 5. Recommendation of science and technology innovation policies: Based on the science and technology innovation policies corresponding to the various technical fields of each region, obtain the science and technology innovation policies corresponding to the company's demand technical fields and the science and technology innovation policies corresponding to the untouch technical fields, analyze the priority recommendation coefficients of the science and technology innovation policies corresponding to the target company's demand technical fields, and evaluate the importance of the science and technology innovation policies corresponding to the target company's untouch technical fields, and perform science and technology innovation policy recommendations.

[0012] Preferably, the timeliness of the scientific and technological innovation policies corresponding to the technical fields of each region is analyzed, and the specific analysis method is: according to the release time point of the scientific and technological innovation policies corresponding to the technical fields of each region and the current time point, the existence time a of the scientific and technological innovation policies corresponding to the technical fields of each region is calculated. xin , where x is the number of each region, x=1,2,…,y, y is a positive integer greater than 2, i is the number of each technical field to which the region belongs, i=1,2,…,j, where j is a positive integer greater than 2, n is the number of each scientific and technological innovation policy in the technical field, n=1,2,…,m, m is a positive integer greater than 2.

[0013] Analyze the timeliness of various science and technology innovation policies corresponding to various technical fields in various regions , where m is the number of science and technology innovation policies in the technology field.

[0014] Preferably, the analysis of the target company's demand technology fields and untouched technology fields is specifically performed by: based on the region to which the target company belongs and based on the release time points of the science and technology policies corresponding to the technology fields of each region, extract the release time points of the science and technology policies corresponding to the technology fields of the region to which the target company belongs, sort the science and technology policies corresponding to the technology fields of the region to which the target company belongs from morning to night based on the release time points, obtain the sorted science and technology policies for the technology fields of the region to which the target company belongs, extract the release time point of the science and technology policy that ranks first in the technology fields of the region to which the target company belongs, and based on the technology fields of the target company, extract the release time point of the science and technology policy that ranks first in the technology fields of the target company, and calculate the existence duration t of the science and technology policy that ranks first in the technology fields of the target company in combination with the current time point. p , where p is the number of the technical field to which the target company belongs, p=1,2,…,q, and q is a positive integer greater than 2.

[0015] Based on the number of employees in each technical field of the target companyb p 、R&D funding p 、Number of patents p and the number of academic papers p , calculate the demand coefficient of each technical field of the target company , where q is the number of technical fields to which the company belongs.

[0016] A predefined demand coefficient threshold is obtained from the local database, and the demand coefficient of each technical field to which the target company belongs is compared with the predefined demand coefficient threshold. If the demand coefficient of a certain technical field to which the target company belongs is greater than the predefined demand coefficient threshold, the technical field to which the target company belongs is marked as a demand technical field, thereby screening the demand technical fields to which the target company belongs.

[0017] Compare the technical fields of the target company with the technical fields of each region. If a technical field of a region is inconsistent with the technical fields of the target company, mark the technical field as an uncontacted technical field of the target company, thereby screening the uncontacted technical fields of the target company.

[0018] Preferably, the evaluation of the support strength of the region to which the target company belongs to for each technical field is specifically conducted by: according to the various scientific and technological innovation policies corresponding to each technical field of each region, the number of scientific and technological innovation policies corresponding to each technical field of each region is counted, and according to the region to which the target company belongs, the number of scientific and technological innovation policies corresponding to each technical field of the region to which the target company belongs is extracted. w , where w is the number of each technical field in the region where the target company belongs, w=1,2,…,z, and z is a positive integer greater than 2.

[0019] According to the existence time of each science and technology innovation policy corresponding to each technical field in each region, the existence time of each science and technology innovation policy corresponding to each technical field in the region where the target company belongs is extracted. wr , where r is the number of the science and technology innovation policies in the technological field of the region where the target company is located, r=1,2,…,s, and s is a positive integer greater than 2.

[0020] Assess the support level of the target company’s region for various technology fields , where z is the number of technology fields in the region where the target company belongs.

[0021] Preferably, the specific analysis method for analyzing the public investment attention in each demand technology field to which the target company belongs is: according to the stock price corresponding to each monitoring time point of each relevant stock in each technical field, extract the stock price A corresponding to each monitoring time point of each relevant stock in each demand technology field to which the target company belongs RNP , where N is the number of each relevant stock, N=1,2,…,M, M is a positive integer greater than 2, and P is the number of each monitoring time point, P=1,2,…,Q, Q is a positive integer greater than 2.

[0022] Analyze the public investment attention in each demand technology field of the target company , where M is the number of relevant stocks and Q is the number of monitoring time points.

[0023] Preferably, the analysis of the support of universities in each required technical field of the target company is carried out by calculating the resource inclination φ of each major of each university. IT , where I is the number of each university, I=1,2,…,J, J is a positive integer greater than 2, and T is the number of each major, T=1,2,…,Z, Z is a positive integer greater than 2.

[0024] Obtain the technical fields corresponding to each major of each university from the local database, map the majors corresponding to each technical field of each university, and obtain the resource inclination of each major corresponding to each technical field of each university based on the resource inclination of each major of each university, and extract the resource inclination of each major of each university corresponding to each technical field of each company. , where H is the number of each major corresponding to the required technical field, H=1,2,…,K, and K is a positive integer greater than 2.

[0025] Analyze the support of universities in each technology field required by the target company .

[0026] Preferably, the specific calculation method for calculating the resource inclination of each major belonging to each university is: obtaining the adjustment parameter value B of the primary level, the adjustment parameter value C of the intermediate level, and the adjustment parameter value D of the advanced level from the local database.

[0027] Based on the data information corresponding to the three levels of each major in each university, the enrollment number E corresponding to the primary level of each major in each university at each historical time point is extracted ITX 、Subsidy amount F ITX and the number of teachers recruited G ITX , where X is the number of each historical time point, X=1,2,…,Y, and Y is a positive integer greater than 2.

[0028] Calculate the resource tilt of each major at the primary level of each university .

[0029] Similarly, calculate the resource inclination μ of the intermediate level of each major in each university IT .

[0030] Similarly, calculate the resource tilt of the intermediate level of each major in each university .

[0031] Calculate the resource inclination of each major in each university .

[0032] Preferably, the priority recommendation coefficients of the scientific and technological innovation policies corresponding to the various demand technology fields of the target company are analyzed, and the specific analysis method is: according to the timeliness of the scientific and technological innovation policies corresponding to the various technical fields of each region, and according to the various demand technology fields of the target company, the timeliness of the scientific and technological innovation policies corresponding to the various demand technology fields of the company is counted and screened. RA' , where A' is the number of each science and technology innovation policy corresponding to the required technology field, A'=1,2,…,B', and B' is a positive integer greater than 2.

[0033] According to the support strength of each technical field in the region where the target company belongs, and according to the support strength of each technical field in demand of the target company, screen the support strength of each technical field in demand of the target company's regionτ R .

[0034] Analyze the priority recommendation coefficients of various science and technology innovation policies corresponding to each required technology field of the target company .

[0035] Preferably, the importance of each scientific innovation policy corresponding to each untouched technology field of the target company is evaluated by a specific evaluation method: mapping each region corresponding to each scientific research policy in each technology field according to each scientific research policy in each region, and obtaining the GDP value D' of each region corresponding to each scientific research policy in each technology field through the GDP value of each region. E'N'X' , where E' is the number of each technical field, E'=1,2,…,F', F' is a positive integer greater than 2, N' is the number of each scientific research policy to which the technical field belongs, N'=1,2,…,M', M' is a positive integer greater than 2, X' is the number of each region corresponding to the scientific research policy, X'=1,2,…,Y', Y' is a positive integer greater than 2.

[0036] According to the existence time of each science and technology innovation policy corresponding to each technical field in each region, the existence time R' of each science and technology innovation policy corresponding to each technical field in each region is mapped. E'N'X' Calculate the importance of each science and technology innovation policy corresponding to each technical field .

[0037] According to the target company's untouchable technology fields, the importance of each scientific and technological innovation policy corresponding to each untouchable technology field of the target company is extracted.

[0038] The beneficial effects of the present invention are: (1) The present invention obtains the stock prices corresponding to each monitoring time point of each relevant stock in each technical field from the stock platform through a crawler, and analyzes the public investment attention in each demand technical field of the target company. Not only can a large amount of data be easily obtained, but the data is collected from all over the country to avoid data distortion. The rise in the stock prices of various stocks in the technical field corresponding to the science and technology innovation policy also reflects the public's high attention to the science and technology innovation policy, thereby improving the credibility of the collected public data and more accurately grasping the public's attention to the science and technology innovation policy.

[0039] (2) The present invention obtains data information corresponding to the three levels of each major of each university from the university platform through a crawler, calculates the resource inclination of each major of each university, and analyzes the university support for each demand technology field of the target company. The release of science and technology innovation policies often encourages universities to cultivate corresponding talents. Therefore, universities will increase the number of admissions and the number of teachers recruited in relevant majors, and increase the subsidy amount for relevant majors. The levels of various majors in universities include undergraduate, master and doctoral degrees. The greater the increase in the number of admissions, subsidy amount and teacher recruitment at the doctoral level, the greater the university's support for the science and technology innovation policy. By monitoring the support of universities for the science and technology innovation policy, the credibility of the analysis of the science and technology innovation policy is improved, the accuracy of the recommendation of the science and technology innovation policy is improved, and the stickiness of the target company to the platform is improved.

[0040] (3) The present invention will also analyze the various scientific and technological innovation policies in the target company's various untouchable technology fields, by analyzing whether each untouchable technology field is valued in other regions. If a certain untouchable technology field is valued in a certain region, many relevant scientific and technological innovation policies are issued, and the GDP value of the region is relatively high, then the relevant scientific research policies in the untouchable technology field can be recommended to the target company to prevent the target company from missing the opportunity to develop the untouchable technology field, improve the target company's effective use of scientific and technological innovation policies, and thus have a positive impact on the target company's future planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0043] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0044] Reference Figure 1 As shown, the present invention provides a method for intelligent analysis and recommendation of science and technology innovation policies based on big data, including: Step 1. Science and technology innovation policy analysis: obtain the GDP value of each region from the official platform of each region through a crawler, and obtain various science and technology innovation policies of each region from the science and technology innovation policy release platform, extract the technical field and release time point corresponding to each science and technology innovation policy of each region, and map the science and technology innovation policies corresponding to each technical field of each region and their corresponding release time points, and analyze the timeliness of each science and technology innovation policy corresponding to each technical field of each region.

[0045] In a specific embodiment, the technical fields corresponding to the scientific and technological innovation policies of each region are extracted by a specific extraction method as follows: keywords of each technical field are obtained from a local database, and the keywords of each technical field are compared with the scientific and technological innovation policies of each region. If a keyword of a certain technical field appears in a certain scientific and technological innovation policy of a certain region, then the technical field is taken as the technical field corresponding to the scientific and technological innovation policy of the region, thereby counting the technical fields corresponding to the scientific and technological innovation policies of each region.

[0046] It should be noted that the local database is used to store keywords in various technical fields, predefined demand coefficient thresholds, technical fields corresponding to various majors in various universities, and to obtain primary-level adjustment parameter values, intermediate-level adjustment parameter values, and advanced-level adjustment parameter values.

[0047] In a specific embodiment of the present invention, the timeliness of each science and technology innovation policy corresponding to each technical field of each region is analyzed, and the specific analysis method is: according to the release time point of each science and technology innovation policy corresponding to each technical field of each region and the current time point, the existence time a of each science and technology innovation policy corresponding to each technical field of each region is calculated. xin , where x is the number of each region, x=1,2,…,y, y is a positive integer greater than 2, i is the number of each technical field to which the region belongs, i=1,2,…,j, where j is a positive integer greater than 2, n is the number of each scientific and technological innovation policy in the technical field, n=1,2,…,m, m is a positive integer greater than 2.

[0048] Analyze the timeliness of various science and technology innovation policies corresponding to various technical fields in various regions , where m is the number of science and technology innovation policies in the technology field.

[0049] Step 2. Company analysis: Obtain the number of employees, R&D funding, number of patents and number of academic papers in the target company's region and in each technical field, analyze the target company's various demand technology fields and untouchable technology fields, and evaluate the support level of the target company's region for each technical field.

[0050] In a specific embodiment of the present invention, the target company's demand technology fields and untouched technology fields are analyzed, and the specific analysis method is: according to the region to which the target company belongs, and according to the release time points of the science and technology policies corresponding to the technology fields of each region, the release time points of the science and technology policies corresponding to the technology fields of the region to which the target company belongs are extracted, and the science and technology policies corresponding to the technology fields of the region to which the target company belongs are sorted from morning to night according to the release time points to obtain the sorted science and technology policies of the technology fields of the region to which the target company belongs, and the release time point of the first science and technology policy in the technology fields of the region to which the target company belongs is extracted, and according to the technology fields to which the target company belongs, the release time point of the first science and technology policy in the technology fields of the target company is extracted, and in combination with the current time point, the existence duration t of the first science and technology policy in the technology fields of the target company is calculated. p , where p is the number of the technical field to which the target company belongs, p=1,2,…,q, and q is a positive integer greater than 2.

[0051] Based on the number of employees in each technical field of the target companyb p 、R&D funding p 、Number of patents p and the number of academic papers p , calculate the demand coefficient of each technical field of the target company , where q is the number of technical fields to which the company belongs.

[0052] In a specific embodiment, the calculation method of the existence duration of the scientific and technological innovation policy that ranks first in each technical field to which the target company belongs is as follows: subtract the release time point of the scientific and technological innovation policy that ranks first in each technical field to which the target company belongs from the current time point, thereby obtaining the existence duration of the scientific and technological innovation policy that ranks first in each technical field to which the target company belongs.

[0053] A predefined demand coefficient threshold is obtained from the local database, and the demand coefficient of each technical field to which the target company belongs is compared with the predefined demand coefficient threshold. If the demand coefficient of a certain technical field to which the target company belongs is greater than the predefined demand coefficient threshold, the technical field to which the target company belongs is marked as a demand technical field, thereby screening the demand technical fields to which the target company belongs.

[0054] Compare the technical fields of the target company with the technical fields of each region. If a technical field of a region is inconsistent with the technical fields of the target company, mark the technical field as an uncontacted technical field of the target company, thereby screening the uncontacted technical fields of the target company.

[0055] In a specific embodiment of the present invention, the evaluation of the support strength of the region to which the target company belongs to for each technical field is specifically performed by: according to the various scientific and technological innovation policies corresponding to each technical field of each region, the number of scientific and technological innovation policies corresponding to each technical field of each region is counted, and according to the region to which the target company belongs, the number of scientific and technological innovation policies corresponding to each technical field of the region to which the target company belongs is extracted. w , where w is the number of each technical field in the region where the target company belongs, w=1,2,…,z, and z is a positive integer greater than 2.

[0056] According to the existence time of each science and technology innovation policy corresponding to each technical field in each region, the existence time of each science and technology innovation policy corresponding to each technical field in the region where the target company belongs is extracted. wr , where r is the number of the science and technology innovation policies in the technological field of the region where the target company is located, r=1,2,…,s, and s is a positive integer greater than 2.

[0057] Assess the support level of the target company’s region for various technology fields , where z is the number of technology fields in the region where the target company belongs.

[0058] Step 3. Analysis of the correlation between policies and stocks: Use crawlers to obtain the stock prices of relevant stocks in various technology fields at various monitoring time points from the stock platform, and analyze the public investment attention in various demand technology fields of the target company. R , where R is the number of each required technical field of the target company, R=1,2,…,S, and S is a positive integer greater than 2.

[0059] In a specific embodiment of the present invention, the public investment attention in each demand technology field of the target company is analyzed, and the specific analysis method is: according to the stock price corresponding to each monitoring time point of each relevant stock in each technical field, the stock price A corresponding to each monitoring time point of each relevant stock in each demand technology field of the target company is extracted. RNP , where N is the number of each relevant stock, N=1,2,…,M, M is a positive integer greater than 2, and P is the number of each monitoring time point, P=1,2,…,Q, Q is a positive integer greater than 2.

[0060] Analyze the public investment attention in each demand technology field of the target company , where M is the number of relevant stocks and Q is the number of monitoring time points.

[0061] The present invention obtains the stock prices corresponding to each monitoring time point of each relevant stock in each technical field from the stock platform through a crawler, and analyzes the public investment attention in each demand technical field to which the target company belongs. Not only can a large amount of data be easily obtained, but the data is collected from all over the country to avoid the problem of data distortion. The rise in the stock prices of each stock in the technical field corresponding to the science and technology innovation policy also reflects the public's high attention to the science and technology innovation policy, thereby improving the credibility of the collected public data and more accurately grasping the public's attention to the science and technology innovation policy.

[0062] Step 4. Analysis of the correlation between policies and universities: Use crawlers to obtain data information corresponding to the three levels of each major of each university from the university platform, and analyze the university support σ in each required technology field of the target company R .

[0063] It should be noted that the three levels are primary level, intermediate level and senior level, respectively. The primary level is undergraduate, the intermediate level is master's level and the senior level is doctorate level.

[0064] It should be noted that the data information includes the number of admissions, subsidy amounts and number of teachers recruited at each historical time point.

[0065] In a specific embodiment of the present invention, the specific analysis method for analyzing the support of universities in each required technical field of the target company is as follows: calculating the resource inclination φ of each major of each university IT , where I is the number of each university, I=1,2,…,J, J is a positive integer greater than 2, and T is the number of each major, T=1,2,…,Z, Z is a positive integer greater than 2.

[0066] Obtain the technical fields corresponding to each major of each university from the local database, map the majors corresponding to each technical field of each university, and obtain the resource inclination of each major corresponding to each technical field of each university based on the resource inclination of each major of each university, and extract the resource inclination of each major of each university corresponding to each technical field of each company. , where H is the number of each major corresponding to the required technical field, H=1,2,…,K, and K is a positive integer greater than 2.

[0067] Analyze the support of universities in each technology field required by the target company .

[0068] In a specific embodiment of the present invention, the resource inclination of each major belonging to each university is calculated by the following specific calculation method: obtaining the primary level adjustment parameter value B, the intermediate level adjustment parameter value C, and the advanced level adjustment parameter value D from the local database.

[0069] Based on the data information corresponding to the three levels of each major in each university, the enrollment number E corresponding to the primary level of each major in each university at each historical time point is extracted ITX 、Subsidy amount F ITX and the number of teachers recruited G ITX , where X is the number of each historical time point, X=1,2,…,Y, and Y is a positive integer greater than 2.

[0070] Calculate the resource tilt of each major at the primary level of each university .

[0071] Similarly, calculate the resource inclination μ of the intermediate level of each major in each university IT .

[0072] Similarly, calculate the resource tilt of the intermediate level of each major in each university .

[0073] Calculate the resource inclination of each major in each university .

[0074] It should be noted that the method of calculating the resource inclination at the primary level of each major belonging to each university is used to calculate the resource inclination at the intermediate level of each major belonging to each university and to calculate the resource inclination at the intermediate level of each major belonging to each university.

[0075] The present invention obtains data information corresponding to three levels of various majors belonging to various universities from the university platform through a crawler, calculates the resource inclination of various majors belonging to various universities, and analyzes the university support for various demand technology fields belonging to the target company. The release of scientific and technological innovation policies often encourages universities to cultivate corresponding talents. Therefore, universities will increase the number of admissions and the number of teachers recruited in relevant majors, and increase the subsidy amount for relevant majors. The levels of various majors in universities include undergraduate, master and doctoral degrees. The greater the increase in the number of admissions, subsidy amount and teacher recruitment at the doctoral level, the greater the university's support for the scientific and technological innovation policy. By monitoring the support of universities for the scientific and technological innovation policy, the credibility of the analysis of the scientific and technological innovation policy is improved, the accuracy of the recommendation of the scientific and technological innovation policy is improved, and the stickiness of the target company to the platform is improved.

[0076] Step 5. Recommendation of science and technology innovation policies: Based on the science and technology innovation policies corresponding to the various technical fields of each region, obtain the science and technology innovation policies corresponding to the company's demand technical fields and the science and technology innovation policies corresponding to the untouch technical fields, analyze the priority recommendation coefficients of the science and technology innovation policies corresponding to the target company's demand technical fields, and evaluate the importance of the science and technology innovation policies corresponding to the target company's untouch technical fields, and perform science and technology innovation policy recommendations.

[0077] In a specific embodiment of the present invention, the priority recommendation coefficients of the scientific and technological innovation policies corresponding to the various demand technology fields of the target company are analyzed, and the specific analysis method is: according to the timeliness of the scientific and technological innovation policies corresponding to the various technical fields of each region, and according to the various demand technology fields of the target company, the timeliness of the scientific and technological innovation policies corresponding to the various demand technology fields of the company is counted and screened. RA' , where A' is the number of each science and technology innovation policy corresponding to the required technology field, A'=1,2,…,B', and B' is a positive integer greater than 2.

[0078] According to the support strength of each technical field in the region where the target company belongs, and according to the support strength of each technical field in demand of the target company, screen the support strength of each technical field in demand of the target company's regionτ R .

[0079] Analyze the priority recommendation coefficients of various science and technology innovation policies corresponding to each required technology field of the target company .

[0080] In a specific embodiment of the present invention, the importance of each scientific innovation policy corresponding to each untouched technical field of the target company is evaluated by a specific evaluation method: based on each scientific research policy corresponding to each technical field of each region, each region corresponding to each scientific research policy of each technical field is mapped, and the GDP value D' of each region corresponding to each scientific research policy of each technical field is obtained through the GDP value of each region. E'N'X' , where E' is the number of each technical field, E'=1,2,…,F', F' is a positive integer greater than 2, N' is the number of each scientific research policy to which the technical field belongs, N'=1,2,…,M', M' is a positive integer greater than 2, X' is the number of each region corresponding to the scientific research policy, X'=1,2,…,Y', Y' is a positive integer greater than 2.

[0081] According to the existence time of each science and technology innovation policy corresponding to each technical field in each region, the existence time R' of each science and technology innovation policy corresponding to each technical field in each region is mapped. E'N'X' Calculate the importance of each science and technology innovation policy corresponding to each technical field .

[0082] According to the target company's untouchable technology fields, the importance of each scientific and technological innovation policy corresponding to each untouchable technology field of the target company is extracted.

[0083] In a specific embodiment, the science and technology innovation policy recommendation operation is performed as follows: obtaining links to various science and technology innovation policies from a science and technology innovation policy publishing platform, sorting the science and technology innovation policies corresponding to various demand technology fields of the target company from large to small according to the priority recommendation coefficient, and displaying the sorted science and technology innovation policies and their corresponding links on the platform's demand science and technology innovation policy interface, sorting the science and technology innovation policies corresponding to various uncontacted technology fields of the target company from large to small according to importance, and displaying the sorted science and technology innovation policies and their corresponding links on the platform's recommended science and technology innovation policy interface.

[0084] The present invention will also analyze the scientific and technological innovation policies in the target company's various untouchable technology fields, by analyzing whether each untouchable technology field is valued in other regions. If a certain untouchable technology field is valued in a certain region, many relevant scientific and technological innovation policies are issued, and the GDP value of the region is relatively high, then the relevant scientific research policies in the untouchable technology field can be recommended to the target company to prevent the target company from missing the opportunity to develop untouchable technology fields, improve the target company's effective use of scientific and technological innovation policies, and thus have a positive impact on the target company's future planning.

[0085] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A method for intelligent analysis and recommendation of science and technology innovation policies based on big data, characterized in that: include: Step 1. Analysis of science and technology innovation policies: Use crawlers to obtain GDP values ​​of various regions from official platforms of various regions, and obtain various science and technology innovation policies of various regions from the science and technology innovation policy release platform, extract the technical fields and release time points corresponding to each science and technology innovation policy of each region, and map the science and technology innovation policies corresponding to each technical field of each region and their corresponding release time points, and analyze the timeliness of each science and technology innovation policy corresponding to each technical field of each region; Step 2. Company analysis: Obtain the number of employees, R&D funding, number of patents and number of academic papers in the target company's region and in each technical field, analyze the target company's various demand technology fields and untouchable technology fields, and evaluate the support level of the target company's region for each technical field; Step 3. Analysis of the correlation between policies and stocks: Use crawlers to obtain the stock prices of relevant stocks in various technology fields at various monitoring time points from the stock platform, and analyze the public investment attention in various demand technology fields of the target company. R , where R is the number of each required technical field of the target company, R=1,2,…,S, S is a positive integer greater than 2; Step 4. Analysis of the correlation between policies and universities: Use crawlers to obtain data information corresponding to the three levels of each major of each university from the university platform, and analyze the university support σ in each required technology field of the target company R ; Step 5. Recommendation of science and technology innovation policies: Based on the science and technology innovation policies corresponding to the various technical fields of each region, obtain the science and technology innovation policies corresponding to the company's demand technical fields and the science and technology innovation policies corresponding to the untouch technical fields, analyze the priority recommendation coefficients of the science and technology innovation policies corresponding to the target company's demand technical fields, and evaluate the importance of the science and technology innovation policies corresponding to the target company's untouch technical fields, and perform science and technology innovation policy recommendations.

2. According to claim 1, a method for intelligent analysis and recommendation of science and technology innovation policies based on big data is characterized in that: The specific analysis method for analyzing the timeliness of various science and technology innovation policies corresponding to various technical fields in various regions is as follows: According to the release time of each science and technology innovation policy corresponding to each technical field of each region and the current time point, calculate the existence time a of each science and technology innovation policy corresponding to each technical field of each region xin , where x is the number of each region, x=1,2,…,y, y is a positive integer greater than 2, i is the number of each technical field to which the region belongs, i=1,2,…,j, where j is a positive integer greater than 2, n is the number of each science and technology innovation policy in the technical field, n=1,2,…,m, m is a positive integer greater than 2; Analyze the timeliness of various science and technology innovation policies corresponding to various technical fields in various regions , where m is the number of science and technology innovation policies in the technology field.

3. According to claim 1, a method for intelligent analysis and recommendation of science and technology innovation policies based on big data, characterized in that: The specific analysis method for analyzing the target company's various demand technology fields and untouchable technology fields is as follows: According to the region to which the target company belongs, and according to the release time points of the various science and technology innovation policies corresponding to the various technical fields of each region, the release time points of the science and technology innovation policies corresponding to the various technical fields of the region to which the target company belongs are extracted, and the science and technology innovation policies corresponding to the various technical fields of the region to which the target company belongs are sorted from early to late according to the release time points to obtain the sorted science and technology innovation policies in the various technical fields of the region to which the target company belongs, and the release time points of the science and technology innovation policies that are ranked first in the various technical fields of the region to which the target company belongs are extracted, and according to the various technical fields to which the target company belongs, the release time points of the science and technology innovation policies that are ranked first in the various technical fields to which the target company belongs are extracted, and combined with the current time point, the existence duration t of the science and technology innovation policies that are ranked first in the various technical fields to which the target company belongs is calculated p , where p is the number of the technical field to which the target company belongs, p=1,2,…,q, q is a positive integer greater than 2; Based on the number of employees in each technical field of the target companyb p 、R&D funding p 、Number of patents p and the number of academic papers p , calculate the demand coefficient of each technical field of the target company , where q is the number of technology fields to which the company belongs; Obtain a predefined demand coefficient threshold from a local database, compare the demand coefficient of each technical field to which the target company belongs with the predefined demand coefficient threshold, and if the demand coefficient of a certain technical field to which the target company belongs is greater than the predefined demand coefficient threshold, mark the technical field to which the target company belongs as a demand technical field, thereby screening the demand technical fields to which the target company belongs; Compare the technical fields of the target company with the technical fields of each region. If a technical field of a region is inconsistent with the technical fields of the target company, mark the technical field as an uncontacted technical field of the target company, thereby screening the uncontacted technical fields of the target company.

4. The method for intelligent analysis and recommendation of science and technology innovation policies based on big data according to claim 2 is characterized in that: The specific evaluation method for evaluating the support provided by the region to each technical field of the target company is as follows: According to the science and technology innovation policies corresponding to each technical field in each region, the number of science and technology innovation policies corresponding to each technical field in each region is counted, and according to the region where the target company is located, the number of science and technology innovation policies corresponding to each technical field in the region where the target company is located is extracted. w , where w is the number of each technical field in the region where the target company belongs, w=1,2,…,z, and z is a positive integer greater than 2; According to the existence time of each science and technology innovation policy corresponding to each technical field in each region, the existence time of each science and technology innovation policy corresponding to each technical field in the region where the target company belongs is extracted. wr , where r is the number of each science and technology innovation policy in the technical field of the region where the target company belongs, r=1,2,…,s, s is a positive integer greater than 2; Assess the support level of the target company’s region for various technology fields , where z is the number of technology fields in the region where the target company belongs.

5. The method for intelligent analysis and recommendation of science and technology innovation policies based on big data according to claim 1 is characterized in that: The specific analysis method for analyzing the public investment attention in each demand technology field of the target company is as follows: According to the stock prices corresponding to each monitoring time point of each relevant stock in each technical field, the stock prices A corresponding to each monitoring time point of each relevant stock in each required technical field of the target company are extracted. RNP , where N is the number of each relevant stock, N=1,2,…,M, M is a positive integer greater than 2, P is the number of each monitoring time point, P=1,2,…,Q, Q is a positive integer greater than 2; Analyze the public investment attention in each demand technology field of the target company , where M is the number of relevant stocks and Q is the number of monitoring time points.

6. The method for intelligent analysis and recommendation of science and technology innovation policies based on big data according to claim 1 is characterized in that: The specific analysis method for analyzing the support of universities in each required technology field of the target company is as follows: Calculate the resource inclination of each major in each university IT , where I is the number of each university, I=1,2,…,J, J is a positive integer greater than 2, T is the number of each major, T=1,2,…,Z, Z is a positive integer greater than 2; Obtain the technical fields corresponding to each major of each university from the local database, map the majors corresponding to each technical field of each university, and obtain the resource inclination of each major corresponding to each technical field of each university based on the resource inclination of each major of each university, and extract the resource inclination of each major of each university corresponding to each technical field of each company. , where H is the number of each major corresponding to the required technical field, H=1,2,…,K, K is a positive integer greater than 2; Analyze the support of universities in each technology field required by the target company .

7. The method for intelligent analysis and recommendation of science and technology innovation policies based on big data according to claim 6 is characterized in that: The specific calculation method for calculating the resource inclination of each major in each university is as follows: Obtain the primary-level parameter value B, the intermediate-level parameter value C, and the advanced-level parameter value D from the local database; Based on the data information corresponding to the three levels of each major in each university, the enrollment number E corresponding to the primary level of each major in each university at each historical time point is extracted ITX 、Subsidy amount F ITX and the number of teachers recruited G ITX , where X is the number of each historical time point, X=1,2,…,Y, and Y is a positive integer greater than 2; Calculate the resource tilt of each major at the primary level of each university ; Similarly, calculate the resource inclination μ of the intermediate level of each major in each university IT ; Similarly, calculate the resource tilt of the intermediate level of each major in each university ; Calculate the resource inclination of each major in each university .

8. The method for intelligent analysis and recommendation of science and technology innovation policies based on big data according to claim 1 is characterized in that: The specific analysis method of the priority recommendation coefficients of various science and technology innovation policies corresponding to each demand technology field of the target company is as follows: According to the timeliness of various scientific and technological innovation policies corresponding to various technical fields in various regions, and according to the various demand technical fields of the target company, the timeliness of various scientific and technological innovation policies corresponding to various demand technical fields of the company are counted and screened. RA' , where A' is the number of each science and technology innovation policy corresponding to the required technology field, A'=1,2,…,B', B' is a positive integer greater than 2; According to the support strength of each technical field in the region where the target company belongs, and according to the support strength of each technical field in demand of the target company, screen the support strength of each technical field in demand of the target company's regionτ R ; Analyze the priority recommendation coefficients of various science and technology innovation policies corresponding to each required technology field of the target company .

9. The method for intelligent analysis and recommendation of science and technology innovation policies based on big data according to claim 2, characterized in that: The specific evaluation method for evaluating the importance of each science and technology innovation policy corresponding to each untouched technology field of the target company is as follows: According to the scientific research policies corresponding to the technical fields of each region, the regions corresponding to the scientific research policies of each technical field are mapped. Through the GDP values ​​of each region, the GDP values ​​of each region corresponding to the scientific research policies of each technical field are obtained. D' E'N'X' , where E' is the number of each technical field, E'=1,2,…,F', F' is a positive integer greater than 2, N' is the number of each scientific research policy to which the technical field belongs, N'=1,2,…,M', M' is a positive integer greater than 2, X' is the number of each region corresponding to the scientific research policy, X'=1,2,…,Y', Y' is a positive integer greater than 2; According to the existence time of each science and technology innovation policy corresponding to each technical field in each region, the existence time R' of each science and technology innovation policy corresponding to each technical field in each region is mapped. E'N'X' Calculate the importance of each science and technology innovation policy corresponding to each technical field ; According to the target company's untouchable technology fields, the importance of each scientific and technological innovation policy corresponding to each untouchable technology field of the target company is extracted.

Images