Enterprise culture management method and system based on cloud platform, and storage medium

Abstract

The invention relates to the technical field of information management, and discloses an enterprise culture management method and system based on a cloud platform, and a storage medium. The method comprises the following steps: setting a plurality of databases in an enterprise culture management platform, collecting enterprise culture information, and classifying and storing the enterprise culture information into the databases; login information of enterprise personnel is acquired, sharing authority is set, and the enterprise personnel performs content updating management of the enterprise culture information in the enterprise culture management platform based on the sharing authority; obtaining a write-in record, encrypting the write-in record and transmitting the encrypted write-in record to a corresponding database; integrating all enterprise culture information in a database, generating record data, performing data analysis, outputting employee participation results, generating intelligent recommendation rules based on the employee participation results, making enterprise plans, and perfecting an enterprise culture management platform. According to the invention, the efficiency and comprehensiveness of enterprise culture management are improved.

Description

Technical Field

[0001] The present application relates to the field of information management technology, and in particular to a corporate culture management method, system and storage medium based on a cloud platform. Background Art

[0002] With the rapid development of information technology, cloud computing technology has gradually become an important force in promoting the digital transformation of enterprises. With its powerful data storage, processing capabilities and flexibility, cloud platforms provide enterprises with efficient information management and resource sharing solutions. However, the application of cloud platforms in the field of corporate culture management is relatively small, and its potential in cultural communication, employee interaction and cultural evaluation has not yet been fully realized.

[0003] Similar prior art includes a Chinese patent application with publication number CN115687470A, which discloses a cloud platform-based enterprise management method and system, the method comprising: obtaining the enterprise's management structure, and setting an information collection port according to the enterprise's management structure, receiving the enterprise operation data generated by the enterprise's management structure during operation through the information collection port; uploading the enterprise operation data to the corresponding information collection port respectively, and uploading the target enterprise operation data collected by each information collection port to the target cloud platform; performing data analysis on the target enterprise operation data in the target cloud platform, and generating management instructions based on the analysis results to manage the enterprise. By using the information collection port to collect the enterprise operation data corresponding to the management structure in the enterprise, and uploading the collected enterprise operation data to the target cloud platform, it is possible to accurately and effectively understand the operation status of different management agencies in the enterprise, and facilitate strict and effective management of the enterprise. There is also a Chinese patent application with publication number CN118505159A, which discloses a cloud-based enterprise information management method and system, which involves the field of information management technology, including: building an enterprise information management cloud platform; receiving the first enterprise information uploaded by the first uploading user through the enterprise information receiving module, and preprocessing the first enterprise information through the preprocessing channel in the enterprise information receiving module to obtain the first information to be uploaded; analyzing the first information to be uploaded through the enterprise information analysis module to obtain the first information analysis result; if the first review result is passed, the first information to be uploaded is sent to the enterprise information storage module; the enterprise information storage module performs storage management of the first information to be uploaded according to the first classification result. This invention solves the technical problem of low processing efficiency of enterprise information management in the prior art, and achieves the technical effect of improving the processing efficiency of information management.

[0004] The shortcomings of existing technologies are mainly reflected in the failure to classify and store enterprise operation data, which may lead to increased communication load, and the failure to conduct intelligent analysis of enterprise information, which reduces the diversity of enterprise information management. In actual situations, it is necessary to realize intelligent storage and data analysis of corporate culture information through a cloud platform, so as to achieve efficient dissemination, real-time interaction and dynamic evaluation of corporate culture, thereby improving the scientificity and effectiveness of corporate culture management. Summary of the invention

[0005] The present application provides a corporate culture management method, system and storage medium based on a cloud platform, which are used to improve the efficiency and accuracy of corporate culture management based on a cloud platform.

[0006] In a first aspect, the present application provides a corporate culture management method based on a cloud platform, and the corporate culture management method based on a cloud platform includes:

[0007] Deploy a corporate culture management platform based on a cloud server, set up multiple databases in the corporate culture management platform, collect corporate culture information, and classify and store the corporate culture information in the database;

[0008] Acquire login information of enterprise personnel, set sharing authority based on the login information, and the enterprise personnel manage content update of the enterprise culture information in the enterprise culture management platform based on the sharing authority;

[0009] Acquire the write record based on the content update management, encrypt the write record based on the security encryption technology, and transmit it to the corresponding database;

[0010] Integrate all the corporate culture information in the database, generate record data, perform data analysis on the record data based on the login information, output employee participation results, generate intelligent recommendation rules based on the employee participation results, formulate corporate plans based on the intelligent recommendation rules, and improve the corporate culture management platform based on the corporate plans.

[0011] In combination with the first aspect, the classifying and storing the corporate culture information in the database includes:

[0012] Establishing a dynamic hierarchical structure, wherein the dynamic hierarchical structure extracts a main database and a sub-database from all the databases, and respectively obtains data flows of subordinate databases corresponding to the main database and the sub-database;

[0013] Comparing the data flow with a preset threshold, if the data flow is greater than the preset threshold, adjusting the dynamic hierarchical structure, generating a switching instruction, and adjusting the connection relationship between all the databases based on the switching instruction;

[0014] A circulation table is set based on the adjusted database and the corporate culture information is stored.

[0015] In combination with the first aspect, the adjusted database is configured to store the corporate culture information in a circular table, including:

[0016] The circular table extracts the content attributes of the corporate culture information, classifies and counts all the corporate culture information based on the content attributes, generates information to be stored, and sends the information to be stored to the sub-database;

[0017] After receiving the information to be stored, the sub-database updates the corresponding storage information, adds the content attribute to the path information, generates main storage information, and sends the main storage information to the main database;

[0018] After receiving the main storage information, the main database updates the corresponding storage information to complete the classified storage of the corporate culture information.

[0019] In conjunction with the first aspect, the specific steps of performing content update management of the corporate culture information include:

[0020] Read the relevant supplementary information of the enterprise personnel, and determine whether the relevant supplementary information requires a response based on the sharing authority. If so, continue to determine whether to set a notification range for the enterprise personnel. If so, send the relevant supplementary information to the response management department based on the notification range. The response management department will display the relevant supplementary information on the corporate culture management platform to complete the content update management.

[0021] In combination with the first aspect, the acquiring of the write record based on the content update management includes:

[0022] The response management department determines whether the relevant supplementary information needs to be reviewed and examined. If necessary, it sends an approval request to the superior department, and extracts information from the relevant supplementary content based on the approval result to generate the write record.

[0023] In combination with the first aspect, the outputting of employee participation results includes:

[0024] Classifying the recorded data based on the login information to generate employee behavior records, and acquiring employee browsing records based on the login information;

[0025] Extracting first characteristic information and second characteristic information of the employee behavior record and the employee browsing record respectively, and then using a machine learning model to comprehensively output a first score corresponding to the enterprise personnel based on the first characteristic information and the second characteristic information;

[0026] Extracting the third characteristic information of all the corporate culture information, obtaining the comprehensive similarity between the second characteristic information and the third characteristic information, and setting the comprehensive similarity as the second score corresponding to the corporate personnel;

[0027] Using a collaborative filtering model to analyze the browsing characteristics of enterprise personnel based on the second characteristic information, and outputting a third score corresponding to the enterprise personnel based on the browsing characteristics;

[0028] The first score, the second score, and the third score are counted based on weight distribution to generate the employee participation result.

[0029] In combination with the first aspect, the generating of intelligent recommendation rules based on the employee participation results includes:

[0030] Extracting employee characteristics based on the login information, filtering out behavioral characteristics from the first characteristic information and the second characteristic information based on the employee participation result, and setting the third characteristic information as a to-be-matched characteristic;

[0031] Matching the employee characteristics with the behavioral characteristics to generate a characteristic matching table;

[0032] Building a learning model based on a neural network, inputting the feature matching table into the learning model for analysis, and outputting an evaluation value corresponding to the feature to be matched;

[0033] The corporate culture information is sorted based on the evaluation values ​​to generate a recommendation list, and the intelligent recommendation rules are set based on the recommendation list.

[0034] In combination with the first aspect, the step of formulating an enterprise plan based on the intelligent recommendation rule includes:

[0035] Evaluate the interest value of the corporate culture information based on the intelligent recommendation rule, and expand and generate the associated features of the third feature information based on the interest value;

[0036] Constructing a natural language model, wherein the natural language model semantically fuses all the corporate culture information based on the associated features to generate extended content;

[0037] A modification and supplementation mode is set based on the extended content, and the modification and supplementation mode is set as the enterprise plan.

[0038] In a second aspect, the present application provides a corporate culture management system based on a cloud platform, and the corporate culture management system based on a cloud platform includes:

[0039] A storage module is used to deploy a corporate culture management platform on a cloud server, set up multiple databases in the corporate culture management platform, collect corporate culture information, and classify and store the corporate culture information in the database;

[0040] An updating module is used to obtain login information of enterprise personnel, set sharing permissions based on the login information, and the enterprise personnel perform content update management of the enterprise culture information in the enterprise culture management platform based on the sharing permissions;

[0041] A transmission module, used for acquiring the write record in the content update management, encrypting the write record based on the security encryption technology and transmitting it to the corresponding database;

[0042] The analysis module is used to integrate all the corporate culture information in the database, generate record data, perform data analysis on the record data based on the login information, output employee participation results, generate intelligent recommendation rules based on the employee participation results, formulate corporate plans based on the intelligent recommendation rules, and improve the corporate culture management platform based on the corporate plans.

[0043] The third aspect of the present application provides a computer-readable storage medium, which stores instructions. When the computer-readable storage medium is run on a computer, it enables the computer to execute the above-mentioned cloud platform-based corporate culture management method.

[0044] In the technical solution provided by this application, first, multiple databases are set up, and the connection relationship between the databases is adjusted by a dynamic hierarchical structure. The corporate culture information is classified, counted and stored by a circular table, which can reduce the communication load, automatically optimize resource allocation according to data traffic, ensure the efficiency of data storage and access, and improve the traceability of data. Then, the sharing authority is set according to the login information, and the relevant supplementary information is reviewed and examined by the response management department to ensure that only authorized personnel can access and update the corporate culture information, thereby improving data security and management efficiency. Finally, the recorded data is classified based on the login information, employee behavior records and employee browsing records are generated, and machine learning models and collaborative filtering models are used to comprehensively analyze employee behavior and browsing characteristics, output employee participation results, and generate intelligent recommendation rules based on employee participation results, which can realize in-depth analysis and accurate evaluation of employee behavior, improve the accuracy and comprehensiveness of data analysis, and effectively adjust corporate culture information at the same time, and improve the accuracy and efficiency of enterprise employees in obtaining information.

[0045] This application also evaluates the interest value of corporate culture information based on intelligent recommendation rules, expands and generates related features, and then uses a natural language model to semantically fuse the corporate culture information, generate extended content, and formulate corporate plans. It can dynamically adjust and optimize the corporate culture management platform to ensure the continued effectiveness and adaptability of corporate plans. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0047] Figure 1 This is a schematic diagram of an embodiment of the corporate culture management method based on a cloud platform in an embodiment of the present application;

[0048] Figure 2 This is a schematic diagram of an embodiment of the connection relationship of the database in the embodiment of the present application;

[0049] Figure 3 This is a schematic diagram of an embodiment of the employee participation result analysis and scoring process in the embodiment of the present application;

[0050] Figure 4 This is a schematic diagram of an embodiment of a cloud platform-based corporate culture management system in an embodiment of the present application. DETAILED DESCRIPTION

[0051] The embodiments of the present application provide a corporate culture management method, system and storage medium based on a cloud platform. The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described here can be implemented in an order other than that illustrated or described here. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0052] For ease of understanding, the specific process of the embodiment of the present application is described below. Figure 1 , an embodiment of the corporate culture management method based on the cloud platform in the embodiment of the present application includes:

[0053] Step S101: deploy a corporate culture management platform based on a cloud server, set up multiple databases in the corporate culture management platform, collect corporate culture information, and classify and store the corporate culture information in the database.

[0054] It is understandable that the execution subject of the present application can be a corporate culture management device based on a cloud platform, or a terminal or a server, which is not specifically limited here. The present application embodiment is described by taking a server as the execution subject as an example.

[0055] Specifically, a corporate culture management platform is constructed through the cloud platform corresponding to the cloud server to collect and display different types of corporate culture information. The database is used to store and call corporate culture information, which includes but is not limited to basic corporate information, corporate personnel activity information, training and development information, and employee feedback information. Setting up multiple databases to classify and store corporate culture information can reduce the communication load of the corporate culture management platform, in which corporate culture information is updated in real time.

[0056] Step S102: Obtain the login information of the enterprise personnel, set sharing permissions based on the login information, and the enterprise personnel perform content update management of the enterprise culture information in the enterprise culture management platform based on the sharing permissions.

[0057] Specifically, enterprise personnel refer to employees who use the corporate culture management platform, and login information refers to the basic information of enterprise personnel, including login ID, employee role, personal information, etc. Shared permissions refer to setting different access permissions for different enterprise personnel and implementing permission management functions in the corporate culture management platform. Content update management means that enterprise personnel can update or manage corporate culture information in the corporate culture management platform according to the corresponding shared permissions, such as adding, modifying, deleting, and commenting on corporate culture information.

[0058] Step S103: Obtain the write record based on the content update management, encrypt the write record based on the security encryption technology, and transmit it to the corresponding database.

[0059] Specifically, write records refer to record information added to corporate culture information, such as operations such as adding, modifying, and commenting on corporate culture information, but do not include deletion operations. Newly added write records in the corporate culture management platform need to be transmitted and stored in the corresponding databases through encryption technology, where SSL / TLS protocol can be used to encrypt data transmission to ensure the security of data during transmission.

[0060] Step S104: Integrate all corporate culture information in the database, generate record data, perform data analysis on the record data based on login information, output employee participation results, generate intelligent recommendation rules based on employee participation results, formulate corporate plans based on the intelligent recommendation rules, and improve the corporate culture management platform based on the corporate plans.

[0061] Specifically, in order to conduct intelligent analysis of the corporate culture management platform, it is necessary to integrate all corporate culture information and summarize and generate record data. In order to analyze the record data more finely and realize the personalized recommendation function, it is necessary to improve the analysis accuracy of the record data based on the login information of the company's employees. The employee participation results are the evaluation results of the interactive trace records of each company's personnel on the corporate culture management platform. Intelligent recommendation rules mean that the corporate culture management platform can realize personalized display functions based on the login information of different company personnel. Enterprise plan refers to the plan content used to modify the corporate culture management platform, so as to improve the various functions of the corporate culture management platform, or add new functional modules.

[0062] In a specific embodiment, the corporate culture information is classified and stored in a database, including:

[0063] (1) Establish a dynamic hierarchical structure. The dynamic hierarchical structure extracts the main database and sub-databases from all databases, and obtains the data flow of the subordinate databases corresponding to the main database and the sub-database respectively.

[0064] (2) Compare the data flow with the preset threshold. If the data flow is greater than the preset threshold, adjust the dynamic hierarchical structure, generate a switching instruction, and adjust the connection relationship between all databases based on the switching instruction.

[0065] (3) Set up a circular table based on the adjusted database and store corporate culture information.

[0066] Specifically, the dynamic hierarchical structure refers to the dynamic implementation of database hierarchies in multiple database systems to generate master databases, sub-databases, and terminal databases, where the hierarchical relationship of each database can be dynamically adjusted to adapt to different workloads and performance requirements. The master database is located in the cloud, the sub-database is located in the relay network, and the terminal database is located in the edge device. The connection relationship between each database is as follows: Figure 2 The slave database refers to the lower database of the master database and the sub-database. Data flow refers to the data communication volume.

[0067] The preset threshold refers to the maximum value of the data communication volume set for each database. If the data flow is greater than the preset threshold, the communication load of the database needs to be readjusted through the dynamic hierarchical structure. After the relevant database receives the switching instruction, the hierarchical structure can be adjusted. The connection relationship refers to the connection and hierarchical relationship between data at different levels in the dynamic hierarchical structure.

[0068] A circular table is a special data storage structure used to efficiently manage actual data in a terminal database. When the database storage space is full, new data will overwrite old data according to certain rules, thereby efficiently managing dynamically changing data flows.

[0069] In a specific embodiment, the adjusted database is set up with a circular table to store corporate culture information, including:

[0070] (1) The loop table extracts the content attributes of corporate culture information, classifies and counts all corporate culture information based on the content attributes, generates information to be stored, and sends the information to be stored to the sub-database.

[0071] (2) After receiving the information to be stored, the sub-database updates the corresponding storage information, adds the content attributes to the path information, generates the main storage information, and sends the main storage information to the main database.

[0072] (3) After receiving the main storage information, the main database updates the corresponding storage information to complete the classified storage of corporate culture information.

[0073] Specifically, content attributes refer to the content tags, time information, sources, keywords and other attribute information of corporate culture information. Classification statistics can be performed according to different dimensions, such as by time, by type, by department, etc. The classified corporate culture information is set as the information to be stored. The sub-database is responsible for first receiving the information to be stored and evaluating the information to be stored.

[0074] Storage information refers to the data information currently contained in the database, and path information includes but is not limited to the storage location, access path, content attributes, etc. By combining storage information and path information, the main storage information to be transmitted can be generated, and then the main storage information can be sent to the main database.

[0075] After the main database receives the main storage information, it completes the classified storage of corporate culture information, improves the efficiency of data management and the scalability of the system, and subsequently provides more accurate cultural activity analysis and decision-making support for the corporate culture management platform.

[0076] In a specific embodiment, the specific steps of performing content update management of corporate culture information include:

[0077] Read the relevant supplementary information of enterprise personnel, and determine whether the relevant supplementary information needs to be responded to based on the sharing permissions. If so, continue to determine whether to set a notification scope for the enterprise personnel. If so, send the relevant supplementary information to the response management department based on the notification scope. The response management department will display the relevant supplementary information on the corporate culture management platform to complete the content update management.

[0078] Specifically, relevant supplementary information refers to the information that enterprise personnel interact, add or comment on in the corporate culture management platform. Response refers to whether the corporate culture management platform needs to provide feedback on the relevant supplementary information. For example, if the sharing permission of enterprise personnel is only reading permission, then there is no need to respond to the relevant supplementary information. The notification scope refers to whether there is a specific corresponding scope for the relevant supplementary information of the enterprise personnel, such as a specific department, a specific person, etc. The response management department is the management ID corresponding to the notification scope. The response management department will display the relevant supplementary information on the corporate culture management platform, or take relevant processing measures.

[0079] In a specific embodiment, obtaining a write record based on content update management includes:

[0080] The response management department determines whether the relevant supplementary information needs to be reviewed and examined. If necessary, it sends an approval request to the superior department, and extracts information on the relevant supplementary content based on the approval result to generate a write record.

[0081] Specifically, review and examination refers to the operation mode of the response management department on the relevant supplementary information. Through semantic understanding, it can be determined whether the relevant supplementary information needs to be reviewed and examined. The approval result can be the result of operation such as approval, modification, and screening. Through the semantic recognition algorithm, information extraction of the relevant supplementary content can be performed according to the approval result to generate a write record.

[0082] In a specific embodiment, outputting employee participation results includes:

[0083] (1) Classify the recorded data based on the login information, generate employee behavior records, and obtain employee browsing records based on the login information.

[0084] (2) Extracting first characteristic information and second characteristic information of employee behavior records and employee browsing records respectively, and using a machine learning model to comprehensively output a first score corresponding to the enterprise personnel based on the first characteristic information and the second characteristic information.

[0085] (3) Extract the third characteristic information of all corporate culture information, obtain the comprehensive similarity between the second characteristic information and the third characteristic information, and set the comprehensive similarity as the second score corresponding to the corporate personnel.

[0086] (4) Using a collaborative filtering model to analyze the browsing characteristics of enterprise personnel based on the second characteristic information, and outputting a third score corresponding to the enterprise personnel based on the browsing characteristics.

[0087] (5) Calculate the first score, second score, and third score based on the weight distribution to generate employee participation results.

[0088] Specifically, the employee participation results analysis and scoring process is as follows: Figure 3As shown, the record data contains the corporate culture information of all enterprise personnel involved, and the record data can be classified according to the login information. Employee behavior records refer to the information written and stored by enterprise personnel, such as interaction records. Employee browsing records refer to the browsing and clicking records of enterprise employees on various pages in the corporate culture management platform, including browsing time, click content, and number of clicks.

[0089] The first characteristic information and the second characteristic information refer to the characteristic vectors of employee behavior records and employee browsing records, such as semantic vectors, title vectors, time vectors, etc. The first score refers to the interest of enterprise employees in different page contents in the enterprise culture management platform, where the page content refers to enterprise culture information. For example, if enterprise employee A1 comments on page content B1 and browses page content B1 for a long time, the first score is higher.

[0090] The third feature information is the feature vector of the page content corresponding to each piece of corporate culture information. Comprehensive similarity refers to the similarity value between feature vectors calculated using cosine similarity. Through the second feature information corresponding to the employee browsing records and the third feature information corresponding to the corporate culture information, the similarity between the content browsed by the company employees and the content of each page can be evaluated. For example, if company employee A1 spends a long time browsing page content B1, and the title of page content B2 is similar to that of page content B1, the second score is higher.

[0091] The role of the collaborative filtering model is to predict whether an enterprise employee will continue to view other page contents after browsing a certain page content based on browsing features, where browsing features refer to features corresponding to historical behavior paths associated with time, including but not limited to browsing history, click behavior, dwell time, etc. The third score refers to the possibility that an enterprise employee will continue to view other page contents after browsing a certain page content. For example, if enterprise employee A1 views page content B3 after browsing page content B2, the third score of page content B3 is higher.

[0092] Weight distribution refers to setting weight coefficients, and employee participation results represent the comprehensive level of participation of corporate employees in the corporate culture management platform.

[0093] In a specific embodiment, generating intelligent recommendation rules based on employee participation results includes:

[0094] (1) Employee features are extracted based on login information, behavioral features are screened out from the first feature information and the second feature information based on employee participation results, and the third feature information is set as the feature to be matched.

[0095] (2) Match employee characteristics with behavioral characteristics and generate a feature matching table.

[0096] (3) Build a learning model based on the neural network, input the feature matching table into the learning model for analysis, and output the evaluation value corresponding to the feature to be matched.

[0097] (4) Sort corporate culture information based on the evaluation value, generate a recommendation list, and set intelligent recommendation rules based on the recommendation list.

[0098] Specifically, employee characteristics, such as age, position, and profession, are extracted from the basic information in the login information. Different employee participation results have different values, and the use records of the company's employees need to be analyzed based on different values. Behavioral characteristics refer to characteristic information such as browsing behavior, comment behavior, and click behavior, and the characteristics to be matched refer to the content characteristics corresponding to the corporate culture information.

[0099] The feature matching table can describe in detail the correlation between the feature information corresponding to any enterprise employee.

[0100] The learning model can match all feature tables and perform reverse learning training, and then use the learning model to evaluate the matching features corresponding to each page content, and calculate the degree of preference of corporate employees for the page content, that is, the evaluation value corresponding to the matching features. The evaluation value is usually between 0 and 1. The closer it is to 1, the higher the preference of corporate employees for the page content.

[0101] All corporate culture information is sorted from large to small according to the evaluation value to generate a recommendation list. The intelligent recommendation rule generates recommended content from the recommendation list in sequence, that is, recommends the corresponding corporate culture information.

[0102] In a specific embodiment, formulating an enterprise plan based on intelligent recommendation rules includes:

[0103] (1) Evaluate the interest value of corporate culture information based on intelligent recommendation rules, and generate related features of the third feature information based on the interest value expansion.

[0104] (2) Construct a natural language model that semantically fuses all corporate culture information based on associated features to generate extended content.

[0105] (3) A modification and supplementation mode is set based on the extended content, and the modification and supplementation mode is set as an enterprise plan.

[0106] Specifically, since there are many employees in an enterprise and there are many kinds of enterprise culture information, the interest value of the enterprise culture information can be calculated based on the evaluation values ​​corresponding to the same enterprise culture information of different employees. The associated features include but are not limited to the characteristic information such as employee satisfaction and recognition corresponding to the enterprise culture information.

[0107] Select a suitable natural language model, such as BERT, GPT, etc., and train the model based on relevant features and corporate culture information. The extended content can be new corporate culture concepts, improvement suggestions, action plans, etc.

[0108] The modification and supplementation model includes but is not limited to new content, improvement suggestions, action plans and other information to formulate corporate plans.

[0109] The above describes the corporate culture management method based on the cloud platform in the embodiment of the present application. The following describes the corporate culture management system based on the cloud platform in the embodiment of the present application. Figure 4 In the embodiment of the present application, an embodiment of the corporate culture management system based on the cloud platform includes:

[0110] The storage module 201 is used to deploy the corporate culture management platform on the cloud server, set up multiple databases in the corporate culture management platform, collect corporate culture information, and classify and store the corporate culture information in the database.

[0111] The updating module 202 is used to obtain the login information of the enterprise personnel, set the sharing authority based on the login information, and the enterprise personnel perform content update management of the enterprise culture information in the enterprise culture management platform based on the sharing authority.

[0112] The transmission module 203 is used to obtain the write record in the content update management, encrypt the write record based on the security encryption technology, and transmit it to the corresponding database.

[0113] The analysis module 204 is used to integrate all corporate culture information in the database, generate record data, perform data analysis on the record data based on login information, output employee participation results, generate intelligent recommendation rules based on employee participation results, formulate corporate plans based on the intelligent recommendation rules, and improve the corporate culture management platform based on the corporate plans.

[0114] Through the collaborative cooperation of the above components, first, multiple databases are set up, and the connection relationship between databases is adjusted by a dynamic hierarchical structure. The corporate culture information is classified, counted and stored by a circular table, which can reduce the communication load, automatically optimize resource allocation according to data traffic, ensure the efficiency of data storage and access, and improve the traceability of data. Then, sharing permissions are set according to the login information, and the relevant supplementary information is reviewed and examined by the response management department to ensure that only authorized personnel can access and update corporate culture information, thereby improving data security and management efficiency. Finally, based on the login information, the record data is classified, employee behavior records and employee browsing records are generated, and machine learning models and collaborative filtering models are used to comprehensively analyze employee behavior and browsing characteristics, output employee participation results, and generate intelligent recommendation rules based on employee participation results, which can realize in-depth analysis and accurate evaluation of employee behavior, improve the accuracy and comprehensiveness of data analysis, and effectively adjust corporate culture information to improve the accuracy and efficiency of enterprise employees in obtaining information.

[0115] This application also evaluates the interest value of corporate culture information based on intelligent recommendation rules, expands and generates related features, and then uses a natural language model to semantically fuse the corporate culture information, generate extended content, and formulate corporate plans. It can dynamically adjust and optimize the corporate culture management platform to ensure the continued effectiveness and adaptability of corporate plans.

[0116] The present application also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the cloud-based corporate culture management method.

[0117] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described systems, systems and units can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0118] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program codes.

[0119] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A corporate culture management method based on a cloud platform, characterized in that: The corporate culture management method based on the cloud platform includes: Deploy a corporate culture management platform based on a cloud server, set up multiple databases in the corporate culture management platform, collect corporate culture information, and classify and store the corporate culture information in the database; Acquire login information of enterprise personnel, set sharing authority based on the login information, and the enterprise personnel manage content update of the enterprise culture information in the enterprise culture management platform based on the sharing authority; Acquire write records based on the content update management, encrypt the write records based on the security encryption technology, and transmit them to the corresponding database; Integrate all the corporate culture information in the database, generate record data, perform data analysis on the record data based on the login information, output employee participation results, generate intelligent recommendation rules based on the employee participation results, formulate corporate plans based on the intelligent recommendation rules, and improve the corporate culture management platform based on the corporate plans.

2. The corporate culture management method based on the cloud platform according to claim 1 is characterized in that: The classifying and storing the corporate culture information in the database includes: Establishing a dynamic hierarchical structure, wherein the dynamic hierarchical structure extracts a main database and a sub-database from all the databases, and respectively obtains data flows of subordinate databases corresponding to the main database and the sub-database; Comparing the data flow with a preset threshold, if the data flow is greater than the preset threshold, adjusting the dynamic hierarchical structure, generating a switching instruction, and adjusting the connection relationship between all the databases based on the switching instruction; A circulation table is set based on the adjusted database and the corporate culture information is stored.

3. The corporate culture management method based on the cloud platform according to claim 2 is characterized in that: The adjusted database is configured to store the corporate culture information in a circular table, including: The circular table extracts the content attributes of the corporate culture information, classifies and counts all the corporate culture information based on the content attributes, generates information to be stored, and sends the information to be stored to the sub-database; After receiving the information to be stored, the sub-database updates the corresponding storage information, adds the content attribute to the path information, generates main storage information, and sends the main storage information to the main database; After receiving the main storage information, the main database updates the corresponding storage information to complete the classified storage of the corporate culture information.

4. The corporate culture management method based on the cloud platform according to claim 1 is characterized in that: The specific steps of performing content update management of the corporate culture information include: Read the relevant supplementary information of the enterprise personnel, and determine whether the relevant supplementary information requires a response based on the sharing authority. If so, continue to determine whether to set a notification range for the enterprise personnel. If so, send the relevant supplementary information to the response management department based on the notification range. The response management department will display the relevant supplementary information on the corporate culture management platform to complete the content update management.

5. The corporate culture management method based on the cloud platform according to claim 4 is characterized in that: The acquiring of the write record based on the content update management includes: The response management department determines whether the relevant supplementary information needs to be reviewed and examined. If necessary, it sends an approval request to the superior department, and extracts information from the relevant supplementary content based on the approval result to generate the write record.

6. The corporate culture management method based on the cloud platform according to claim 1 is characterized in that: The output employee participation results include: Classifying the recorded data based on the login information to generate employee behavior records, and acquiring employee browsing records based on the login information; Extracting first characteristic information and second characteristic information of the employee behavior record and the employee browsing record respectively, and then using a machine learning model to comprehensively output a first score corresponding to the enterprise personnel based on the first characteristic information and the second characteristic information; Extracting the third characteristic information of all the corporate culture information, obtaining the comprehensive similarity between the second characteristic information and the third characteristic information, and setting the comprehensive similarity as the second score corresponding to the corporate personnel; Using a collaborative filtering model to analyze the browsing characteristics of enterprise personnel based on the second characteristic information, and outputting a third score corresponding to the enterprise personnel based on the browsing characteristics; The first score, the second score, and the third score are counted based on weight distribution to generate the employee participation result.

7. The corporate culture management method based on the cloud platform according to claim 6 is characterized in that: The generating of intelligent recommendation rules based on the employee participation results includes: Extracting employee characteristics based on the login information, filtering out behavioral characteristics from the first characteristic information and the second characteristic information based on the employee participation result, and setting the third characteristic information as a to-be-matched characteristic; Matching the employee characteristics with the behavioral characteristics to generate a characteristic matching table; Building a learning model based on a neural network, inputting the feature matching table into the learning model for analysis, and outputting an evaluation value corresponding to the feature to be matched; The corporate culture information is sorted based on the evaluation values ​​to generate a recommendation list, and the intelligent recommendation rules are set based on the recommendation list.

8. The corporate culture management method based on the cloud platform according to claim 7 is characterized in that: The formulating of the enterprise plan based on the intelligent recommendation rule comprises: Evaluate the interest value of the corporate culture information based on the intelligent recommendation rule, and expand and generate the associated features of the third feature information based on the interest value; Constructing a natural language model, wherein the natural language model semantically fuses all the corporate culture information based on the associated features to generate extended content; A modification and supplementation mode is set based on the extended content, and the modification and supplementation mode is set as the enterprise plan.

9. A corporate culture management system based on a cloud platform, characterized in that: The corporate culture management system based on the cloud platform includes: A storage module is used to deploy a corporate culture management platform on a cloud server, set up multiple databases in the corporate culture management platform, collect corporate culture information, and classify and store the corporate culture information in the database; An updating module is used to obtain login information of enterprise personnel, set sharing permissions based on the login information, and the enterprise personnel perform content update management of the enterprise culture information in the enterprise culture management platform based on the sharing permissions; A transmission module, used for acquiring the write record in the content update management, encrypting the write record based on the security encryption technology and transmitting it to the corresponding database; The analysis module is used to integrate all the corporate culture information in the database, generate record data, perform data analysis on the record data based on the login information, output employee participation results, generate intelligent recommendation rules based on the employee participation results, formulate corporate plans based on the intelligent recommendation rules, and improve the corporate culture management platform based on the corporate plans.

10. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the cloud platform-based corporate culture management method as described in any one of claims 1-8 is implemented.

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