Automatic recommendation system for accurate matching of scientific research project and expert
By designing an automatic recommendation system for accurate matching of scientific research projects and experts, using network crawlers to collect expert information and enter detailed data, combining project types and label matching, the accuracy problem of small and medium-sized enterprises in expert resource matching is solved, and the efficient utilization of expert resources is achieved.
Patent Information
- Application Number
- CN202410036002.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-10
- Publication Date
- 2025-07-11
AI Technical Summary
When small and medium-sized enterprises are looking for experts in the field, the existing technology has excessive reliance on social resources or mechanical matching, resulting in low severity check rate and comprehensive check rate, and the inability to match knowledge and industries in a timely and accurate manner, resulting in wasting expert resources.
Design an automatic recommendation system that accurately matches scientific research projects and experts, collect expert information through network crawlers, invite experts to join the system, enter detailed information, and sort experts through project types and label matching, and sort experts in order to sort them.
It realizes efficient utilization of expert resources, improves the accuracy and efficiency of expert matching, and meets the precise needs of enterprises for field experts.
Smart Images

Figure CN120296236A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of project application, and particularly to an automatic recommendation system for precise matching of scientific research projects and experts. Background Art
[0002] A scientific and technological project refers to a project independently established with scientific research and technological development as its content. The implementation of scientific and technological projects is a specific manifestation of the implementation of China's science and technology plan. The scientific value, economic value, and social value generated by the projects have far-reaching significance for the progress of science and society and the development of the economy.
[0003] Top talents in the field are the guarantee for enterprise innovation. However, at present, many enterprises face a shortage of internal talent reserves when encountering technical problems in the field and urgently need to seek external experts. At present, some enterprises will use their network of relationships to obtain talents in the field through authoritative recommendations; or retrieve scientific research results according to field keywords and then obtain relevant experts based on their author information. The former overly relies on social resources and is only applicable to some well-known enterprises, with great limitations for small and medium-sized enterprises. The latter has the disadvantages of mechanical word matching and lack of features, resulting in low duplicate checking rate and recall rate. This also causes enterprises to be unable to discover experts in their fields in a timely and accurate manner, making it difficult to accurately connect knowledge and industry. Summary of the Invention
[0004] Aiming at the deficiencies of the existing technology, the purpose of the present invention is to provide an automatic recommendation system for precise matching of scientific research projects and experts, aiming to solve the technical problem that it is difficult for enterprises to find high-quality experts for scientific research projects.
[0005] The above technical purpose of the present invention is achieved through the following technical solutions: On the one hand, an embodiment of the present application provides an automatic recommendation system for precise matching of scientific research projects and experts, including an expert information module, a project information module, and a project matching module, specifically: The expert information module is divided into an information collection unit and an information entry unit. The information collection unit can search for public information of well-known project experts on the Internet through web crawlers, collect and store it in the expert information module; the information entry unit sends invitations to the experts themselves or their teams to join this system according to the contact information in the expert information obtained by the information collection unit. The invited experts can register accounts through the information collection unit, verify their identities, and then fill in their relevant information according to their own wishes. The project information module stores publicly available scientific and technological project cases on the Internet and those completed through this system. The scientific and technological project cases are classified according to the types of projects they belong to, and at the same time, multiple tags are set according to the specific content of the cases. Each scientific and technological project case corresponds to at least one project expert and the result of whether it has been successfully completed. The project matching module obtains the current scientific research project information through the description of the enterprise, determines the type and tags of the current scientific research project, obtains cases of the same type of scientific research project from the historical project database according to the type of the scientific research project information, screens out the cases with the same tags as the current scientific research project from these cases of the type, combines the project experts corresponding to these cases, and comprehensively ranks them according to the number of projects completed by these experts under the type and the tag and the success rate of personal project completion. The higher the ranking, the higher the matching degree with the current scientific research project.
[0006] Further explanation, the public information includes expert identity information, handled case information, and project completion situation.
[0007] Further explanation, the filling in of one's own relevant information includes checking the public information obtained by the information collection unit and supplementing the missing information.
[0008] An electronic device includes a processor and a memory. A computer program is stored in the memory and is loaded and executed by the processor to implement the automatic recommendation system for accurate matching of the above-mentioned scientific research projects and experts.
[0009] A computer-readable storage medium stores a computer program, and the computer program is loaded and executed by a processor to implement the automatic recommendation system for accurate matching of the above-mentioned scientific research projects and experts.
[0010] In summary, the beneficial effects of the present invention compared with the prior art are as follows: The system can collect various public information from the Internet, including information on completed scientific and technological projects and relevant expert information, store this information in the project information module and the expert information module respectively. For these well-known experts, invitations can be sent to them to invite them to join this system and supplement more complete qualification information, so that more comprehensive information can be compared when matching experts for new projects in the future; after the enterprise inputs the project content to be matched, the system obtains the project type and project tags, searches for similar historical cases, and comprehensively analyzes according to the project experts corresponding to these cases, and arranges the recommendation order by the number of completed projects and the success rate of completion, which can recommend more suitable experts for the enterprise for the current project, and at the same time can provide case sources for more good experts. BRIEF DESCRIPTION OF THE DRAWINGS
[0011] By reading the following detailed description with reference to the accompanying drawings, the above and other objects, features, and advantages of the exemplary embodiments of the present invention will become readily understood. In the drawings, several embodiments of the present invention are shown in an exemplary rather than restrictive manner, wherein: Figure 1 It is a structural diagram of an automatic recommendation system for accurate matching of scientific research projects and experts. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0012] The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are provided only to enable those skilled in the art to better understand and then implement the present invention, rather than limiting the scope of the present invention in any way. On the contrary, these embodiments are provided to make the present disclosure more thorough and complete, and to be able to fully convey the scope of the present disclosure to those skilled in the art. "Embodiments" or "implementations" in the specification can represent either an embodiment or an implementation, or some embodiments or some implementation scenarios.
[0013] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, a device, an apparatus, a method, or a computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: completely hardware, completely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.
[0014] It should be noted that any number of elements in the drawings is for illustration rather than limitation, and any naming is only for differentiation and does not have any limiting meaning.
[0015] According to an embodiment of the present invention, an automatic recommendation system for accurate matching of scientific research projects and experts is proposed, including an expert information module, a project information module, and a project matching module. The expert information module is divided into an information collection unit and an information entry unit. The information collection unit can search the Internet through web crawlers for public information of well-known project experts, collect and store it in the expert information module. The public information includes expert identity information, handled case information, and project completion status. The information entry unit sends invitations to the experts themselves or their teams to join the system according to the contact information in the expert information obtained by the information collection unit. The invited experts can register accounts and verify their identities through the information collection unit, and then fill in their relevant information according to their own wishes, including checking the public information obtained by the information collection unit and supplementing the missing information.
[0016] The project information module includes a historical project database, which stores scientific and technological project cases publicly available on the Internet and completed through this system. The scientific and technological project cases are classified according to the types of the projects they belong to, and at the same time, multiple tags are set according to the specific content of the cases. Each scientific and technological project case corresponds to at least one project expert and the result of whether it has been successfully completed.
[0017] The project matching module obtains the current scientific research project information through the description of the enterprise, determines the type and tags of the current scientific research project, obtains cases of the same type of scientific research projects from the historical project database according to the type of the scientific research project information, screens out the cases with the same tags as the current scientific research project from these cases of the same type, combines the project experts corresponding to these cases, and comprehensively ranks them according to the number of projects completed by these experts under the same type and the same tags and the success rate of personal project completion. The higher the ranking, the higher the matching degree with the current scientific research project.
[0018] According to another embodiment of the present invention, there is provided an electronic device, which includes a processor and a memory. A computer program is stored in the memory, and the computer program is loaded and executed by the processor to implement the above-mentioned automatic recommendation system for precise matching of scientific research projects and experts.
[0019] According to another implementation method of the present invention, there is provided a computer-readable storage medium, in which a computer program is stored, and the computer program is loaded and executed by a processor to implement the above-mentioned automatic recommendation system for precise matching of scientific research projects and experts.
[0020] The above are only exemplary embodiments of the present invention and are not used to limit the protection scope of the present invention. The protection scope of the present invention is determined by the appended claims.
Claims
1. An automatic recommendation system for the precise matching of scientific research projects and experts, characterized in that, It includes an expert information module, a project information module, and a project matching module, specifically: The expert information module is divided into an information collection unit and an information entry unit. The information collection unit can search for the public information of well-known project experts on the Internet through web crawlers, collect and store it in the expert information module; the information entry unit sends invitations to the experts or their teams to join this system according to the contact information in the expert information obtained by the information collection unit. The invited experts can register accounts and verify their identities through the information collection unit, and then fill in their relevant information according to their own wishes; The project information module stores publicly available online and technology project cases completed through this system. The technology project cases are classified according to the types of the projects they belong to, and at the same time, multiple tags are set according to the specific content of the cases. Each technology project case corresponds to at least one project expert and the result of whether it has been successfully completed; The project matching module obtains the current scientific research project information through the description of the enterprise, determines the current scientific research project type and tags, obtains scientific research project cases of the same type from the historical project database according to the type of the scientific research project information, screens out the cases with the same tags as the current scientific research project from these cases of the type, synthesizes the project experts corresponding to these cases, and comprehensively sorts them according to the number of projects completed by these experts under this type and this tag and the success rate of individual projects completed. The higher the ranking, the higher the matching degree with the current scientific research project.
2. The automatic recommendation system for precise matching of scientific research projects and experts according to claim 1, characterized in that, The public information includes expert identity information, handled case information, and project completion status.
3. An automatic recommendation system for accurate matching of scientific research projects and experts according to claim 1, characterized in that, Filling in the relevant information of oneself includes checking the public information obtained by the information collection unit and supplementing the missing information.
4. An electronic device, characterized in that, Including: It includes a processor and a memory. A computer program is stored in the memory. The computer program is loaded and executed by the processor to implement the automatic recommendation system for precise matching of scientific research projects and experts as described in any one of claims 1-3.
5. A computer-readable storage medium, characterized in that, A computer program is stored in the storage medium. The computer program is loaded and executed by the processor to implement the automatic recommendation system for precise matching of scientific research projects and experts as described in any one of claims 1-3.