A big data service system for matching entrepreneurs with franchise enterprises
By designing a big data service system that integrates identity identification verification, information retrieval and data matching modules, the lack of algorithmic matching between entrepreneurs and franchise companies in the existing technology is solved, efficient information matching and entrepreneurship support is achieved, and the efficiency and accuracy of information acquisition are improved.
Patent Information
- Application Number
- CN202411939610.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-26
- Publication Date
- 2025-04-01
AI Technical Summary
The existing technology lacks algorithm technology for professional matching of entrepreneurs and franchise companies, and there is a lack of a platform for integrating big data algorithms in the market, so it is unable to effectively provide services such as entrepreneurship guidance, professional/interest/employment experience analysis, entrepreneurial project analysis and recommendation, entrepreneurial partner screening and other services.
A big data service system is designed, including the user end, university end and merchant end. Through the identity identification verification module, information retrieval module and data matching module, the project information of users, merchants and universities is entered and matched, and the big data is used to match data information based on personnel, projects, industries and other tags.
It has achieved efficient matching between entrepreneurs and franchise companies, improved the efficiency and accuracy of information acquisition, reduced the problems of entrepreneurs' insufficient industry experience and insufficient funds, and promoted the commercialization of scientific research projects and investment flow in colleges and universities.
Smart Images
Figure CN119741168A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of big data service systems, and in particular to a big data service system for matching entrepreneurs with investment and franchise enterprises. Background Art
[0002] With the development of the economy, there are many people in society who adopt flexible employment. The increasing number of fresh graduates has brought huge challenges to the already severe employment situation. Most people in flexible employment lack sufficient channels and means to obtain information, which makes people lack sufficient understanding of the employment situation and employment prospects of various industries in the market, further increasing the difficulty and risk of flexible employees starting their own businesses.
[0003] The existing methods of understanding market information lack relevant algorithm technologies for matching employed people's professions, interests, experiences, and intended industries. At the same time, there are only single APPs / websites on the market that conduct recruitment, knowledge sharing, or investment and franchising, and there is no integrated big data algorithm that can provide entrepreneurship guidance for individuals, personal professional / interest / work experience analysis, matching entrepreneurship project analysis and recommendation, entrepreneurship partner screening, entrepreneurship partner adaptation, talent exchange, project exchange, and technical exchange. This limits people's ability to obtain and judge market information. In view of this, we propose a big data service system for matching entrepreneurs with investment and franchising companies. Summary of the invention
[0004] The purpose of the present invention is to provide a big data service system for matching entrepreneurs with investment and franchise enterprises, so as to solve the problems raised in the above-mentioned background technology.
[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a big data service system for matching entrepreneurs with investment and franchise enterprises, the big data service system comprising a user end, a university end, a merchant end and a cloud database, the user end comprising an identity recognition and verification module, an information retrieval module and a data matching module, the identity verification module comprising identity information entry and identity comparison and verification, the merchant end comprising industry classification, industry knowledge sharing, cooperation case sharing, pre-profit analysis, and merchant service plans and support policies, the university end comprising scientific research commercializable projects and entrepreneurial projects that need to be commercialized.
[0006] Preferably, the identity information input on the user side includes a label for a recent graduate and a label for an entrepreneur, and after the identity information on the user side is input, the user can query and browse information based on the label for a recent graduate and the label for an entrepreneur, so that after logging into the user side of the big data service system, the user can push relevant market industry information based on his or her actual situation, thereby making the information push and query more accurate. At the same time, the identity information input also includes detailed personal information, work experience, interests and hobbies, intended industry, amount of disposable entrepreneurial funds, risk tolerance assessment, and a simplified entrepreneurial plan, thereby generating professional information labels, interest labels, work experience labels, and entrepreneurial direction labels for the user, and selectively pushing matching and highly matching information in the big data service system in the cloud database based on the professional information, interests, work experience, and entrepreneurial direction of the logged-in user, thereby further clarifying the personal information of the logged-in user, and facilitating the big data service system to classify users in the form of labels, and then filtering the information to be pushed based on the matching degree of the labels, thereby making the user's query results more adaptable and improving the user's experience.
[0007] Preferably, the identity information input of the user terminal also includes a technical talent label and an investment company or personal label. The big data service system pushes the university's scientific research commercialization projects and entrepreneurial projects that need to be commercialized to the user-side login users with the technical talent label and the investment company or personal label, thereby establishing a fast contact channel between the university and high-end technical talents and investment companies and investors in related industries, so that technical talents can timely learn about the university's scientific research commercialization projects in related industries, and choose whether to join the scientific research and whether to start a business through the project according to their own situation. Investment companies or individuals can also use this platform to more intuitively and conveniently understand the actual situation and personnel situation of the university's scientific research commercialization projects and entrepreneurial projects that need to be commercialized, reduce the investment risk of investment companies or individuals, improve the progress of project promotion and transaction, enable them to obtain benefits faster, and enhance the intention of university scientific research projects.
[0008] Preferably, the big data service system pushes industry knowledge sharing and cooperation case sharing from the merchant side to clients whose user tags are fresh graduate tags and entrepreneur tags, and the pushed content of the industry knowledge sharing and cooperation case sharing is judged by the identity information input content filled in by the user logging in on the user side, and is arranged in descending order according to the degree of match between the identity information input content and the industry classification on the merchant side. This allows the logged in user to query the industry knowledge and cases uploaded and shared by merchants in related industries according to their actual needs, thereby helping fresh graduates and entrepreneurs to have a preliminary understanding of the industry. At the same time, based on the content of the cooperation cases, they can understand the process of project cooperation and the difficulties that may be encountered, thereby enhancing the user's understanding of the industry.
[0009] Preferably, the user terminal provides two options after entering the user identity information, including knowledge learning and further study in professional fields. The knowledge learning is based on the professional information in the user identity information entry, and the user actively performs knowledge retrieval and pushes corresponding industry knowledge sharing content. The further study in professional fields is based on the professional information in the user identity information entry, and pushes the corresponding scientific research commercializable projects provided by the university terminal. In addition, the information retrieval module is used to screen the information content published by other user terminals, university terminals and merchant terminals that match the professional information in the cloud database, and the screening results are pushed to the user, so that the user can selectively obtain relevant information from the big data service system according to his or her actual learning / professional knowledge further study needs, so that the information push and acquisition are more targeted, thereby improving the user's information acquisition experience.
[0010] Preferably, the user terminal pushes technology R&D enterprises with a high degree of matching based on the professional information of the technical talent labels and the industry information, and searches and inquires about the scientific research project information of the technology R&D enterprises. At the same time, the information retrieval module also performs the same type of search based on the name and classification of the scientific research project information, and generates hyperlinks synchronously, so that users can query scientific research projects and make horizontal comparisons among multiple enterprises according to actual needs, so as to have a more intuitive understanding of industry dynamics.
[0011] Preferably, the merchant side also includes a public display of cooperation projects and entry of cooperation information. The public display of cooperation projects includes the profit prospects, financial statements, and practical cases of the cooperation projects. At the same time, the cooperation information entry includes the threshold requirements, specific support policies, and specific cooperation methods of the above-mentioned cooperation projects, so as to fully display the relevant information of the merchant's cooperation projects, thereby matching the characteristic tags of various industries, facilitating the query and matching of the data matching module and the information retrieval module, and conducting targeted push, thereby improving the progress of the merchant's cooperation projects.
[0012] Preferably, the university needs to upload academic achievements and information on project topics to be tackled when entering data, so as to help the university raise funds and relevant technical talents from the society. The university publishes commercializable projects to find investors. The university can find relevant social enterprises to carry out research and development or technical assistance based on its own technological advantages, so as to enhance the university's project research and development and promotion capabilities.
[0013] Preferably, the big data service system also includes a data verification module, and the user end, university end and merchant end can all verify and question the query data through the terminal, and the judgment threshold of the data information is 60%. When the questioned data of the data information uploaded by the user end, university end and merchant end reaches the threshold of 60% of the total data, the big data service system will send data verification information to the user end, university end and merchant end that provide or publish the data, and limit the time for modification and verification, so as to ensure that all data in the big data service system are more accurate, so that logged-in users can timely and effectively query the industry data and dynamic information they need to know.
[0014] Preferably, the user end, university end and merchant end are all provided with behavior tracking modules, and the data query behaviors of the user end, university end and merchant end in the big data service system are anchored through the behavior tracking modules, so as to match the corresponding information tags for the corresponding user end, university end and merchant end, so as to more accurately match the user's usage behavior habits in subsequent retrievals, and the big data service system also includes a third-party funds supervision system to protect the user's funds security.
[0015] Compared with the prior art, the present invention provides a big data service system for matching entrepreneurs with investment and franchise enterprises, which has the following beneficial effects: 1. The big data service system for matching entrepreneurs with investment and franchise enterprises inputs data such as ordinary users, merchants, and project information of universities through the big data service system, and matches data information according to labels such as personnel, projects, and industries through big data, so that ordinary users, merchants, and high-efficiency enterprises can all learn about the corresponding industry data and dynamic information through the big data service system, reduce the time wasted on information retrieval, ensure the matching degree of data information, and make users obtain information more efficiently and accurately, thereby avoiding the problems of entrepreneurs' lack of industry experience, lack of relevant knowledge exchange, high-quality merchants and high-quality projects needing more opportunities to be exposed through users' self-rating and selection, and related entrepreneurial projects of universities being unable to be commercialized due to insufficient funds or insufficient personnel experience.
[0016] 2. The big data service system for matching entrepreneurs with franchised enterprises uses technical talent tags to identify logged-in users on the user side, and pushes relevant project information of universities to users through the big data service system, thereby establishing a fast communication channel between the university side and high-end technical talents as well as investment companies and investors in related industries, so that technical talents can timely learn about the university's scientific research commercialization projects in related industries, and choose whether to join scientific research and whether to start a business through the project according to their own circumstances. Investment companies or individuals can also use this platform to more intuitively and conveniently understand the actual situation and personnel situation of the university's scientific research commercialization projects and entrepreneurial projects that need to be commercialized, reduce the investment risks of investment companies or individuals, improve the progress of project promotion and transaction, enable them to obtain benefits faster, and enhance the intention of university scientific research projects.
[0017] 3. The big data service system for matching entrepreneurs with investment and franchise enterprises embeds a data verification module in the big data service system and sets a data error threshold. At the same time, the user end, the university end, and the merchant end can jointly browse the content disclosed in the big data service system and question and verify the data, and provide feedback in a timely manner, thereby ensuring that all data in the big data service system is more accurate, so that logged-in users can query the industry data and dynamic information they need to know in a timely and effective manner. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] Figure 1 It is a schematic diagram of the main process of the present invention; Figure 2 This is a schematic diagram of the structure of the big data service system of the present invention. DETAILED DESCRIPTION
[0019] like Figure 1-Figure 2 As shown, the present invention provides a technical solution: a big data service system for matching entrepreneurs with investment and franchise enterprises, the big data service system includes a user end, a university end, a merchant end and a cloud database, the user end includes an identity recognition and verification module, an information retrieval module and a data matching module, the identity authentication module includes identity information entry and identity comparison and verification, the merchant end includes industry classification, industry knowledge sharing, cooperation case sharing, pre-profit analysis, and merchant service plans and support policies, and the university end includes scientific research commercializable projects and entrepreneurial projects that need to be commercialized.
[0020] In one embodiment of the present invention, the identity information input of the user terminal includes a label of a recent graduate and a label of an entrepreneur, and after the identity information of the user terminal is input, the browsing information is queried according to the label of a recent graduate and the label of an entrepreneur, so that after the user logs in to the user terminal of the big data service system, the user can push relevant market industry information according to his or her actual situation, so that the information push and query are more accurate. At the same time, the identity information input also includes detailed personal information, work experience, interests and hobbies, intended industry, amount of disposable entrepreneurial funds, risk tolerance assessment, and a simplified entrepreneurial plan, so as to generate the user's professional information label, interest label, work experience label and entrepreneurial direction label, and selectively push matching and highly matching information in the big data service system in the cloud database according to the professional information, interests, work experience and entrepreneurial direction of the logged-in user, so as to further clarify the personal information of the logged-in user, and facilitate the big data service system to classify users in the form of labels, and then filter the information to be pushed according to the matching degree of the labels, so that the user's query results are more adaptable and the user's experience is improved.
[0021] Furthermore, the identity information input on the user side also includes technical talent tags and investment company or personal tags. The big data service system pushes the university's scientific research commercialization projects and entrepreneurial projects that need to be commercialized to the user-side logging-in users with technical talent tags and investment company or personal tags, thereby establishing a fast contact channel between the university and high-end technical talents and investment companies and investors in related industries, so that technical talents can timely learn about the university's scientific research commercialization projects in related industries, and choose whether to join scientific research and whether to start a business through the project according to their own situation. Investment companies or individuals can also use this platform to more intuitively and conveniently understand the actual situation and personnel situation of the university's scientific research commercialization projects and entrepreneurial projects that need to be commercialized, reduce the investment risk of investment companies or individuals, improve the progress of project promotion and transaction, enable them to obtain benefits faster, and enhance the intention of university scientific research projects.
[0022] In addition, the big data service system pushes industry knowledge sharing and cooperation case sharing from the merchant side to clients whose user tags are fresh graduates and entrepreneurs. The pushed content of industry knowledge sharing and cooperation case sharing is judged by the identity information input content filled in by the user who logs in on the user side. The content is arranged in descending order according to the degree of match between the identity information input content and the industry classification on the merchant side. This allows the logged-in user to query the industry knowledge and cases uploaded and shared by merchants in related industries according to their actual needs, thereby helping fresh graduates and entrepreneurs to have a preliminary understanding of the industry. At the same time, based on the content of the cooperation case, they can understand the process of project cooperation and the difficulties that may be encountered, thereby enhancing the user's understanding of the industry. At the same time, when the user is conducting user After entering the identity information, two options are provided, including knowledge learning and further study in professional fields. Knowledge learning is based on the professional information in the user's identity information entry. At the same time, the user actively searches for knowledge and pushes corresponding industry knowledge sharing content. Further study in professional fields is based on the professional information in the user's identity information entry. The corresponding scientific research commercial projects provided by the university are pushed. The information retrieval module is used to filter the information content published by other user ends, university ends and merchant ends in the cloud database that match the professional information, and the screening results are pushed to the user, so that the user can selectively obtain relevant information from the big data service system according to his or her actual learning / professional knowledge needs, so that the information push and acquisition are more targeted, improving the user's information acquisition experience.
[0023] In an embodiment of the present invention, the user end pushes technology research and development enterprises with high matching degrees according to the professional information of the technical talent label and the industry information, and searches and inquires about the scientific research project information of the technology research and development enterprises. At the same time, the information retrieval module also performs the same type of search according to the name and classification of the scientific research project information, and simultaneously generates hyperlinks, so that users can query scientific research projects and make horizontal comparisons of multiple enterprises according to actual needs, so as to understand the dynamic content of the industry more intuitively. Furthermore, the merchant end also includes the public display of cooperation projects and the entry of cooperation information. The public display of cooperation projects includes the profit prospects, financial statements, and practical cases of the cooperation projects. At the same time, the entry of cooperation information includes the threshold requirements, specific assistance policies, and specific cooperation methods of the above-mentioned cooperation projects, so as to fully display the relevant information of the merchant's cooperation projects, thereby matching the characteristic labels of various industries, facilitating the query and matching of the data matching module and the information retrieval module, and performing targeted push, thereby improving the progress of the merchant's cooperation projects.
[0024] In the present invention, when entering data, the university needs to upload academic achievements and information on project topics to be tackled, so as to help the university collect funds and related technical talents from the society. The university releases commercializable projects to find investors. The university can find relevant social enterprises to carry out research and development or technical assistance based on its own technical advantages, so as to enhance the project research and development and promotion capabilities of the university. Specifically, behavior tracking modules are provided in the user side, university side and merchant side. The behavior tracking module anchors the data query behavior of the user side, university side and merchant side in the big data service system, so as to match the corresponding information tags to the corresponding user side, university side and merchant side, so as to more accurately match the user's usage behavior habits in subsequent searches, and the big data service system also includes a third-party fund supervision system to protect the user's fund security.
[0025] Specifically, the anchor point content of the behavior tracking module also includes the identity information input content, the city circle, interest knowledge, and web page access content when the user end, university end, and merchant end log in to the big data service system, and generates corresponding tag information after the anchor point, and uploads it to the cloud database synchronously. The tag information generated by the anchor point is bound to the corresponding user end, university end, and merchant end. At the same time, the cloud database has a tag information database, and the tag information database saves the tag information generated by the anchor point. At the same time, the cloud database performs tag adaptation and confirmation on industry information, project information, and merchant information according to the tag information in the tag information database. Specifically, when the information retrieval module is started, it filters the retrieved data according to the tag information in the cloud database of the corresponding logged-in user end, university end, and merchant end, and sorts it from high to low according to the tag matching degree, so that users can more conveniently and accurately query information that better matches themselves.
[0026] It is worth noting that the big data service system also includes a data verification module. The user end, university end and merchant end can verify and question the query data through the terminal, and the judgment threshold of data information is 60%. When the questioned data of the data information uploaded by the user end, university end and merchant end reaches the threshold of 60% of the total data, the big data service system will send data verification information to the user end, university end and merchant end that provide or publish the data, and limit the time for modification and verification, so as to ensure that all data in the big data service system are more accurate, so that logged-in users can timely and effectively query the industry data and dynamic information they need to know.
[0027] The above generally describes the present invention in detail, but it is obvious to a person skilled in the art that some modifications or improvements can be made to the present invention. Therefore, modifications or improvements that do not depart from the spirit of the present invention are within the scope of protection of the present invention.
Claims
1. A big data service system for matching entrepreneurs with franchise enterprises, characterized by: The big data service system includes a user end, a university end, a merchant end and a cloud database. The user end includes an identity recognition and verification module, an information retrieval module and a data matching module. The identity verification module includes identity information entry and identity comparison verification. The merchant end includes industry classification, industry knowledge sharing, cooperation case sharing, pre-profit analysis, and merchant service plans and support policies. The university end includes scientific research projects that can be commercialized and entrepreneurial projects that need to be commercialized.
2. The big data service system for matching entrepreneurs with franchise enterprises according to claim 1 is characterized by: The identity information input on the user side includes a label for a recent graduate and a label for an entrepreneur, and after the identity information on the user side is input, information is searched and browsed based on the label for a recent graduate and the label for an entrepreneur. At the same time, the identity information input also includes detailed personal information, work experience, interests and hobbies, intended industry, amount of disposable entrepreneurial funds, risk tolerance assessment, and a simplified entrepreneurial plan, thereby generating professional information labels, interest labels, work experience labels, and entrepreneurial direction labels for the user, and selectively pushing matching and highly matching information in the big data service system in the cloud database based on the professional information, interests, work experience, and entrepreneurial direction of the logged-in user.
3. The big data service system for matching entrepreneurs with franchise enterprises according to claim 2 is characterized by: The identity information input of the user terminal also includes technical talent tags and investment company or personal tags. The big data service system pushes scientific research commercializable projects and entrepreneurial projects that need to be commercialized from universities to the user who logs in with the technical talent tags and investment company or personal tags.
4. The big data service system for matching entrepreneurs with investment and franchise enterprises according to claim 3 is characterized by: The big data service system pushes industry knowledge sharing and cooperation case sharing from the merchant side to clients whose user tags are fresh graduates and entrepreneurs, and the pushed content of the industry knowledge sharing and cooperation case sharing is judged based on the identity information input content filled in by the user who logged in from the user side, and is arranged in descending order according to the degree of matching between the identity information input content and the industry classification on the merchant side.
5. The big data service system for matching entrepreneurs with investment and franchise enterprises according to claim 4 is characterized by: After entering the user identity information, the user terminal provides two options, including knowledge learning and further study in professional fields. The knowledge learning is based on the professional information in the user identity information input. At the same time, the user actively searches for knowledge and pushes corresponding industry knowledge sharing content. The further study in professional fields is based on the professional information in the user identity information input. The corresponding scientific research commercializable projects provided by the university are pushed, and the information retrieval module is used to screen the information content published by other user terminals, university terminals and merchant terminals that match the professional information in the cloud database, and the screening results are pushed to the user.
6. The big data service system for matching entrepreneurs with investment and franchise enterprises according to claim 5 is characterized by: The user terminal pushes technology research and development enterprises with high matching degree according to the professional information and industry information of the technical talent label, and searches and queries the scientific research project information of the technology research and development enterprises. At the same time, the information retrieval module also performs the same type of search according to the name and classification of the scientific research project information, and generates hyperlinks synchronously.
7. The big data service system for matching entrepreneurs with investment and franchise enterprises according to claim 6 is characterized by: The merchant side also includes a public display of cooperation projects and entry of cooperation information. The public display of cooperation projects includes the profit prospects, financial statements, and practical cases of the cooperation projects. At the same time, the cooperation information entry includes the threshold requirements, specific support policies, and specific cooperation methods of the above-mentioned cooperation projects.
8. The big data service system for matching entrepreneurs with franchise enterprises according to claim 7 is characterized by: The university needs to upload academic achievements and information on project topics to be tackled when entering data.
9. The big data service system for matching entrepreneurs with investment and franchise enterprises according to claim 8 is characterized by: The big data service system also includes a data verification module. The user end, university end and merchant end can verify and question the query data through the terminal, and the judgment threshold of data information is 60%. When the questioned data of the data information uploaded by the user end, university end and merchant end reaches the threshold of 60% of the total data, the big data service system will send data verification information to the user end, university end and merchant end that provide or publish the data, and limit the time for modification and verification.
10. The big data service system for matching entrepreneurs with investment and franchise enterprises according to claim 9 is characterized by: The user end, university end and merchant end are all provided with behavior tracking modules, through which the data query behaviors of the user end, university end and merchant end in the big data service system are anchored, and the big data service system also includes a third-party funds supervision system.