Employee information retrieval analysis method and system, electronic equipment and storage medium
Through preset databases and natural language generation technology processing employee information, the problem of high maintenance costs and limited query results of knowledge graphs when processing dynamic employee information and unstructured data is solved, and the rapid and accurate employee information retrieval and analysis is achieved, improving the The company's decision-making support capabilities.
Patent Information
- Application Number
- CN202411196794.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-29
- Publication Date
- 2024-12-31
AI Technical Summary
Existing knowledge graphs have problems such as high maintenance costs, high complexity and limited query effects when dealing with dynamically changing employee information and unstructured data, and are particularly difficult to deal with complex or fuzzy queries.
Preset databases are used to combine search engine technology and natural language generation technology to quickly obtain and generate employee information retrieval and analysis results through data preprocessing and indexing to support corporate decision-making.
It realizes rapid and accurate generation of employee information retrieval and analysis results, provides strong decision-making support for enterprises and enhances overall competitiveness.
Smart Images
Figure CN119226578A_ABST
Abstract
Description
Background Art
[0002] At present, most people use knowledge graphs (such as Google's Knowledge Graph or a knowledge base built by an enterprise) to enhance information retrieval and data analysis capabilities. The above technologies help to associate structured and unstructured data, thereby providing more accurate retrieval results. However, there are also defects. The construction of knowledge graphs requires a large amount of structured data and maintenance work. The knowledge base built by the enterprise itself may need to be constantly updated and maintained to ensure the accuracy and timeliness of the data. For dynamically changing employee information, this may increase maintenance costs and complexity. At the same time, there are still certain difficulties in integrating and analyzing large amounts of unstructured data (such as personal evaluations of employees, informal communications, etc.). Knowledge graphs usually rely on structured inputs, which may have limited effects in processing these unstructured data, and may face challenges in understanding user intent and queries, and cannot handle complex or ambiguous queries.
[0003] Therefore, it is urgent to provide a technical solution to solve the above problems. Summary of the invention
[0004] In order to solve the above technical problems, the present invention provides an employee information retrieval and analysis method, system, electronic device and storage medium.
[0005] In a first aspect, the present invention provides an employee information retrieval and analysis method, the technical solution of the method is as follows:
[0006] Receiving target query information input by a user;
[0007] Utilize a preset database to obtain target retrieval information corresponding to the target query information, and generate retrieval analysis results based on the target query information and the target retrieval information; wherein the preset database includes: employee structured data and employee unstructured data that have been preprocessed and indexed.
[0008] The beneficial effects of the employee information retrieval and analysis method of the present invention are as follows:
[0009] The method of the present invention can quickly and accurately generate employee information retrieval and analysis results, provide powerful decision-making support for enterprises, and thus enhance overall competitiveness.
[0010] On the basis of the above scheme, the employee information retrieval and analysis method of the present invention can also be improved as follows.
[0011] In an optional manner, the step of obtaining target retrieval information corresponding to the target query information by using a preset database includes:
[0012] The search engine technology is used to obtain the data index of the target query information in the preset database, and the target retrieval information corresponding to the target query information is obtained according to the data index.
[0013] In an optional manner, the step of generating a search analysis result based on the target query information and the target search information includes:
[0014] The retrieval analysis result is generated by using natural language generation technology and according to the target query information and the target retrieval information.
[0015] In an optional manner, the method further includes:
[0016] The search and analysis results are output to a target terminal for display.
[0017] In a second aspect, the present invention provides an employee information retrieval and analysis system, the technical solution of which is as follows:
[0018] Includes: acquisition module and analysis module;
[0019] The acquisition module is used to: receive target query information input by a user;
[0020] The analysis module is used to: use a preset database to obtain target retrieval information corresponding to the target query information, and generate a retrieval analysis result based on the target query information and the target retrieval information; wherein the preset database includes: employee structured data and employee unstructured data that have been preprocessed and indexed.
[0021] The beneficial effects of the employee information retrieval and analysis system of the present invention are as follows:
[0022] The system of the present invention can quickly and accurately generate employee information retrieval and analysis results, provide powerful decision-making support for enterprises, and thus enhance overall competitiveness.
[0023] Based on the above solution, the employee information retrieval and analysis system of the present invention can also be improved as follows.
[0024] In an optional manner, the step of using a preset database in the analysis module to obtain target retrieval information corresponding to the target query information includes:
[0025] The search engine technology is used to obtain the data index of the target query information in the preset database, and the target retrieval information corresponding to the target query information is obtained according to the data index.
[0026] In an optional manner, the step of generating a search analysis result based on the target query information and the target search information in the analysis module includes:
[0027] The retrieval analysis result is generated by using natural language generation technology and according to the target query information and the target retrieval information.
[0028] In an optional manner, the device further includes: an output module; the output module is used to:
[0029] The search and analysis results are output to a target terminal for display.
[0030] In a third aspect, a technical solution of an electronic device of the present invention is as follows:
[0031] The method comprises a memory, a processor and a program stored in the memory and running on the processor. When the processor executes the program, the steps of the employee information retrieval and analysis method of the present invention are implemented.
[0032] In a fourth aspect, the present invention provides a computer-readable storage medium having the following technical solution:
[0033] The computer-readable storage medium stores instructions, and when the computer-readable storage medium reads the instructions, the computer-readable storage medium executes the steps of the employee information retrieval and analysis method of the present invention.
[0034] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] The accompanying drawings are only used to illustrate the embodiments and are not to be considered as limiting the present invention. In addition, the same reference symbols are used to represent the same components throughout the accompanying drawings. In the accompanying drawings:
[0036] Figure 1 A schematic diagram of a flow chart of a first embodiment of an employee information retrieval and analysis method of the present invention;
[0037] Figure 2 It is a schematic diagram of the overall principle of an employee information retrieval and analysis method of the present invention;
[0038] Figure 3 It is a flow chart of a second embodiment of an employee information retrieval and analysis method of the present invention;
[0039] Figure 4A schematic diagram of the structure of an embodiment of an employee information retrieval and analysis system of the present invention;
[0040] Figure 5 The figure is a schematic structural diagram of an embodiment of an electronic device of the present invention. DETAILED DESCRIPTION
[0041] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention can be implemented in various forms and should not be limited to the embodiments set forth herein.
[0042] Figure 1 The flowchart of the first embodiment of the employee information retrieval and analysis method provided by the present invention is shown. The employee information retrieval and analysis method can be executed by an electronic device such as a terminal device or a server. The terminal device can be any fixed or mobile terminal such as a user equipment (UE), a mobile device, a user terminal, a terminal, a cellular phone, a cordless phone, a personal digital assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, etc. The server can be a single server or a server cluster composed of multiple servers. Any electronic device can implement the employee information retrieval and analysis method by means of a processor calling computer-readable instructions stored in a memory. Figure 1 As shown, the following steps are included:
[0043] S1. Receive target query information input by a user.
[0044] The user is assumed to be the manager of the enterprise or a user authorized to perform employee information retrieval and analysis. Before receiving the target query information input by the user, the user's identity can also be verified (the identity verification process can use account password verification, or face recognition and other technologies, which are not limited here). When the identity verification is passed, step S1 is executed.
[0045] The target query information is sentences, phrases, keywords and other contents used to retrieve employee information, such as "Zhang San's performance data for the past three months" or "Zhang San and performance and three months".
[0046] S2. Utilize a preset database to obtain target retrieval information corresponding to the target query information, and generate a retrieval analysis result based on the target query information and the target retrieval information.
[0047] Among them, the preset database includes: employee structured data and employee unstructured data that have been preprocessed and indexed. Employee structured data includes but is not limited to: information in the employee database, performance appraisal records, etc., and employee unstructured data includes but is not limited to: employee comments, emails, personal experience, etc. Data preprocessing methods include but are not limited to: removing data noise, table conversion processing, and data conversion format, etc. The retrieval analysis results are determined based on the target query information. For example, if the target query information is "Zhang San's performance data for the past three months", the retrieval analysis results are: "Zhang San's performance in January is A, his performance in February is B, and his performance in March is C".
[0048] Among them, different data (employee structured data and employee unstructured data) correspond to data indexes respectively. The specific process is: vectorization processing is performed according to the different meanings of the data text, indexing is established for the processed vector blocks and data text, and then similar data text content can be directly and quickly located based on vector similarity.
[0049] It should be noted that by integrating employee structured data (such as information in the employee database and performance appraisal records) and employee unstructured data (such as employee comments, emails, and meeting minutes), a more comprehensive view of employee information can be provided. Through advanced data cleaning, standardization, and indexing technologies, data quality and retrieval efficiency can be improved, ensuring that the data used in the generation process is accurate and consistent.
[0050] In an optional manner, the step of obtaining target retrieval information corresponding to the target query information by using a preset database includes:
[0051] The search engine technology is used to obtain the data index of the target query information in the preset database, and the target retrieval information corresponding to the target query information is obtained according to the data index.
[0052] The default search engine technology is ElasticSearch and vector library, which can also be set according to the actual situation. There is no restriction here.
[0053] In an optional manner, the step of generating a search analysis result based on the target query information and the target search information includes:
[0054] The retrieval analysis result is generated by using natural language generation technology and according to the target query information and the target retrieval information.
[0055] Among them, the natural language generation (NLG) technology uses the GPT series model by default to generate natural and fluent text.
[0056] It should be noted that if Figure 2As shown in the figure, the retrieval-augmented generation (RAG) model includes search engine technology (retrieval component) and natural language generation technology (generation component). It combines retrieval technology with generation technology, obtains target retrieval information through search engine technology, and then converts the information into retrieval analysis results in natural language through natural language generation technology. This fusion method overcomes the problem that traditional retrieval cannot generate context-rich answers and provides more accurate and useful information. Combined with the specific data and context obtained from the retrieval, it can realize dynamic generation of answers or analysis reports. It can better deal with complex or ambiguous queries and provide more accurate results.
[0057] The technical solution of this embodiment can quickly and accurately generate employee information retrieval and analysis results, provide strong decision-making support for enterprises, and thus enhance overall competitiveness.
[0058] Figure 3 FIG. 2 is a flow chart of a second embodiment of a method for searching and analyzing employee information provided by the present invention. The method for searching and analyzing employee information can be executed by an electronic device such as a terminal device or a server. Figure 3 As shown, the following steps are included:
[0059] S10: receiving target query information input by a user.
[0060] S20: Utilize a preset database to obtain target retrieval information corresponding to the target query information, and generate a retrieval analysis result based on the target query information and the target retrieval information.
[0061] S30: Output the search and analysis results to a target terminal for display.
[0062] Among them, the target terminal defaults to the user's terminal device, which includes but is not limited to: mobile phones, computers, tablets, etc., and there is no restriction here.
[0063] The technical solution of this embodiment further outputs the employee information retrieval and analysis results intuitively, which can provide strong decision-making support for the enterprise, thereby improving the overall competitiveness.
[0064] Figure 4 FIG. 2 is a schematic diagram showing a structure of an embodiment of an employee information retrieval and analysis system 200 provided by the present invention. Figure 4 As shown, the system 200 includes: an acquisition module 210 and an analysis module 220;
[0065] The acquisition module 210 is used to: receive target query information input by a user;
[0066] The analysis module 220 is used to: use a preset database to obtain target retrieval information corresponding to the target query information, and generate a retrieval analysis result based on the target query information and the target retrieval information; wherein the preset database includes: employee structured data and employee unstructured data that have been preprocessed and indexed.
[0067] In an optional manner, the step of using a preset database to obtain target retrieval information corresponding to the target query information in the analysis module 220 includes:
[0068] The search engine technology is used to obtain the data index of the target query information in the preset database, and the target retrieval information corresponding to the target query information is obtained according to the data index.
[0069] In an optional manner, the step of generating a search analysis result based on the target query information and the target search information in the analysis module 220 includes:
[0070] The retrieval analysis result is generated by using natural language generation technology and according to the target query information and the target retrieval information.
[0071] In an optional manner, the device further includes: an output module; the output module is used to:
[0072] The search and analysis results are output to a target terminal for display.
[0073] The technical solution of this embodiment can quickly and accurately generate employee information retrieval and analysis results, provide strong decision-making support for enterprises, and thus enhance overall competitiveness.
[0074] The parameters and steps of each module implementing the corresponding functions in the employee information retrieval and analysis system 200 of the present embodiment can refer to the parameters and steps in the embodiment of the employee information retrieval and analysis method above, and will not be described in detail here.
[0075] like Figure 5 As shown, an electronic device 300 according to an embodiment of the present invention includes a processor 320, the processor 320 is coupled to a memory 310, and the memory 310 stores at least one computer program 330, and the at least one computer program 330 is loaded and executed by the processor 320, so that the electronic device 300 implements any of the employee information retrieval and analysis methods described above, specifically:
[0076] The electronic device 300 may have relatively large differences due to different configurations or performances, and may include one or more processors 320 (Central Processing Units, CPU) and one or more memories 310, wherein the one or more memories 310 store at least one computer program 330, and the at least one computer program 330 is loaded and executed by the one or more processors 320, so that the electronic device 300 implements any employee information retrieval and analysis method provided in the above embodiments. Of course, the electronic device 300 may also have components such as a wired or wireless network interface, a keyboard, and an input and output interface for input and output, and the electronic device 300 may also include other components for implementing device functions, which will not be described in detail here.
[0077] A computer-readable storage medium according to an embodiment of the present invention stores at least one computer program, and the at least one computer program is loaded and executed by a processor to enable a computer to implement any of the employee information retrieval and analysis methods described above.
[0078] Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
[0079] In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or the computer program includes computer instructions, the computer instructions are stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device executes any of the employee information retrieval and analysis methods described above.
[0080] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects and represent the definition of a specific order or sequence. The order of use of similar objects can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than the order shown or described.
[0081] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.
[0082] Any combination of one or more computer-readable media can be used. Computer-readable media can be computer-readable signal media or computer-readable storage media. Computer-readable storage media can be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any combination of the above. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it.
[0083] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.
Claims
1. A method for employee information retrieval and analysis, characterized in that: include: Receiving target query information input by a user; Utilize a preset database to obtain target retrieval information corresponding to the target query information, and generate retrieval analysis results based on the target query information and the target retrieval information; wherein the preset database includes: employee structured data and employee unstructured data that have been preprocessed and indexed.
2. The employee information retrieval and analysis method according to claim 1, characterized in that: The step of obtaining target retrieval information corresponding to the target query information by using a preset database includes: The search engine technology is used to obtain the data index of the target query information in the preset database, and the target retrieval information corresponding to the target query information is obtained according to the data index.
3. The employee information retrieval and analysis method according to claim 1, characterized in that: The step of generating a search analysis result based on the target query information and the target search information comprises: The retrieval analysis result is generated by using natural language generation technology and according to the target query information and the target retrieval information.
4. The employee information retrieval and analysis method according to any one of claims 1 to 3, characterized in that: Also includes: The search and analysis results are output to a target terminal for display.
5. An employee information retrieval and analysis system, characterized in that: include: Acquisition module and analysis module; The acquisition module is used to: receive target query information input by a user; The analysis module is used to: use a preset database to obtain target retrieval information corresponding to the target query information, and generate a retrieval analysis result based on the target query information and the target retrieval information; wherein the preset database includes: employee structured data and employee unstructured data that have been preprocessed and indexed.
6. The employee information retrieval and analysis system according to claim 5, characterized in that: The step of obtaining target retrieval information corresponding to the target query information by using a preset database in the analysis module includes: The search engine technology is used to obtain the data index of the target query information in the preset database, and the target retrieval information corresponding to the target query information is obtained according to the data index.
7. The employee information retrieval and analysis system according to claim 6, characterized in that: The step of generating a search analysis result based on the target query information and the target search information in the analysis module includes: The retrieval analysis result is generated by using natural language generation technology and according to the target query information and the target retrieval information.
8. The employee information retrieval and analysis system according to any one of claims 5 to 7, characterized in that: Also includes: Output module; the output module is used for: The search and analysis results are output to a target terminal for display.
9. An electronic device, characterized in that: The electronic device includes a processor, the processor is coupled to a memory, the memory stores at least one computer program, and the at least one computer program is loaded and executed by the processor so that the electronic device implements the employee information retrieval and analysis method according to any one of claims 1 to 4.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores at least one computer program, and the at least one computer program is loaded and executed by the processor, so that the computer-readable storage medium implements the employee information retrieval and analysis method according to any one of claims 1 to 4.