A method and system for paperless office collaboration in an enterprise

Abstract

This application discloses a paperless collaborative office method and system for enterprises, relating to the field of office system technology. The specific technical solution includes associating each user with historical operation characteristic records, comparing the user's current operation characteristics with historical operation characteristic records, configuring reasonable behavioral parameters for the current operation characteristics based on the comparison results, determining the user's comprehensive priority index in conjunction with priority permission parameters, and determining the user's emphasis order in collaborative office actions based on the comprehensive priority index of different users. Through the above technical solution, this application achieves behavioral rationality analysis of the user's current operation characteristics, optimizes the user's comprehensive priority index based on the analysis results, and thus determines the user's emphasis order in collaborative office actions. Furthermore, it can guide the accuracy of actions within the same application component based on the comprehensive priority index, effectively avoiding a decrease in office accuracy caused by operational differences.

Description

Technical Field

[0001] This invention relates to the field of office system technology, and in particular to a paperless collaborative office method and system for enterprises. Background Technology

[0002] With the continuous development of information technology, the way enterprises conduct daily office work is undergoing profound changes. Traditional paper-based office methods have many drawbacks, including low efficiency, high costs, and inconvenient information management. To address these challenges, more and more enterprises are turning to paperless collaborative office methods and systems to improve work efficiency, reduce costs, and strengthen information security management.

[0003] When using collaborative office software for collaborative work, multiple users often operate simultaneously. If the simultaneous operation targets the same application component, operation conflicts are likely to occur. Furthermore, due to differences in the operations performed by users on the same office project, the accuracy of the final office results decreases. Therefore, there is an urgent need for a collaborative office method and system that can effectively avoid user operation conflicts and prevent the decrease in office accuracy caused by differences in operation. Summary of the Invention

[0004] The purpose of this invention is to provide a collaborative office method and system that can effectively avoid user operation conflicts and prevent the decline in office accuracy caused by operational differences.

[0005] This application discloses a paperless collaborative office method for enterprises, including: Analyze the past operation logs of different users, determine the content factors of each user's actions during the user operation process, record the content factors of the actions, generate historical operation feature records, and associate the historical operation feature records with users; Analyze user operation access requests to determine whether the user's user category matches the current office content. If it matches, the user operation access request is approved; otherwise, the user operation access request is rejected. If the access request is made through user operation, the user operation information is obtained and analyzed to determine the user's current operation characteristics. The system compares the user's current operation characteristics with their historical operation characteristics, and based on the comparison and analysis results, configures appropriate behavioral parameters for the user's current operation characteristics. Based on user-preset or temporarily set priority permission parameters, as well as reasonable parameters for user-configured behavior, determine the user's comprehensive priority index. Based on the comprehensive priority indicators of different users, the order of users' priorities in collaborative office actions is determined.

[0006] In some embodiments of this application, the enterprise paperless collaborative office method further includes: Based on the priority of different users' collaborative work actions, determine the user with priority in the event of a conflict during collaborative work, and allow the user with priority to perform the action while blocking other users from performing the action; If several users intervene in the same operation and their operation characteristics are inconsistent, the user with priority is determined according to the order of their collaborative work actions. The operation content of the user with priority is stored and displayed. The operation content of other users is stored and marked according to their respective collaborative work action priority configurations.

[0007] In some embodiments of this application, the enterprise paperless collaborative office method further includes: To meet the needs of enterprise office work, several office templates have been created, and each office template has several corresponding office scenarios. For each office scenario corresponding to the office template, the action components for operation on the office template are determined, and the action characteristics that each action component can perform are determined. Based on the action components and action features determined for each office scenario corresponding to the office template, an action data reference matrix is ​​generated, and the action data reference matrix is ​​used to distinguish and identify the actions during user operation. The expression for the motion data reference matrix is ​​as follows: , in, This indicates the position coordinates of the action component relative to the office template. Indicates coordinates as The corresponding i-th action feature of the action component.

[0008] In some embodiments of this application, the method for determining the content factor of each user's actions during user operations includes: The task start point and task end point recorded in the user's past operation log are identified and marked, and the past operation log is segmented based on the determined task start point and task end point to form several past operation record segments; The system analyzes several past operation records of the user to determine the office template invoked by the user for each task operation, and identifies the action components mapped on the office template and the content factors that are applied to the action components. The identified action components and content factors are then converted to generate historical operation feature records.

[0009] In some embodiments of this application, the method for analyzing user operation information and determining the user's current operation characteristics includes: Based on user operation information, determine the office template invoked by the user, and identify the action components triggered by the user's actions on the template, as well as the content factors generated by the action components. The user's current action component and the content factors generated for each action component are converted into current operation features.

[0010] In some embodiments of this application, the method for comparing a user's current operation characteristics with historical operation characteristics includes: Construct a current action data matrix based on the current operation characteristics: Analyze the user's current operation characteristics to determine the first relative position of the invoked action component relative to the office template; Based on the action feature group corresponding to the mapping of the first relative position in the action data reference matrix, feature recognition mapping is performed on the content factors of the current action component to obtain the first action feature corresponding to the called action component. Construct the current action data matrix based on the first relative position and first action feature corresponding to the invoked action component; Construct a historical action data matrix based on historical operation feature records: Analyze the user's historical operation characteristics to determine the second relative position of the invoked action component relative to the office template; Based on the action feature group corresponding to the mapping of the second relative position in the action data reference matrix, feature recognition mapping is performed on the content factors of the current action component to obtain the second action feature corresponding to the called action component. Based on the second relative position and second action features corresponding to the invoked action component, a historical action data matrix is ​​constructed. Compare and analyze the current action data matrix with the historical action data matrix; Based on the difference between the first and second relative positions of the triggered action components, determine the trigger difference characteristics between the current action data matrix and the historical action data matrix; Based on the difference between the first and second action features of the triggered action component, the action difference features between the current action data matrix and the historical action data matrix are determined.

[0011] In some embodiments of this application, the method for configuring reasonable parameters for user's current operational characteristics includes: Based on the triggering differences between the current action data matrix and the historical action data matrix, a first reasonable sub-parameter operator is constructed; Based on the differences in action characteristics between the current action data matrix and the historical action data matrix, a second reasonable sub-parameter operator is constructed. Based on the first and second reasonable subparameter operators, construct the behavior reasonable parameter expression; The expression for the reasonable behavior parameter is as follows: ; in, For the corresponding values ​​of reasonable parameters of behavior, The highest value of the first reasonable sub-parameter. The highest value of the second reasonable sub-parameter. First reasonable subparameter conversion coefficient, The second reasonable subparameter conversion coefficient, This represents the number of action components triggered in the current action data matrix. This represents the number of action components triggered in the historical action data matrix. The number of action features equal to the number of action features in the action data matrix and the historical action data matrix. As the first adjustment constant, This is the second adjustment constant.

[0012] In some embodiments of this application, the method for determining a user's overall priority index includes: Based on the user's access request, determine the user's operation priority permission, and configure the first priority permission parameter for the user based on the user's operation priority permission; Based on the management instructions received by the system, a temporary second priority permission parameter is set for the user; The sum of the user's first priority permission parameter, second priority permission parameter, and reasonable behavior parameter is calculated to obtain the corresponding value of the user's comprehensive priority index.

[0013] In some embodiments of this application, a paperless collaborative office system for enterprises is also disclosed, comprising: The first module is used to analyze the past operation logs of different users, determine the content factors of each user's actions during the user operation process, record the content factors of the actions, generate historical operation feature records, and associate the historical operation feature records with users. The second module is used to analyze user operation access requests and determine whether the user's user category matches the current office content. If it matches, the user operation access request is approved; if it does not match, the user operation access request is rejected. The third module is used to obtain user operation information if a user operation access request is made, analyze the user operation information, determine the user's current operation characteristics, compare the user's current operation characteristics with historical operation characteristics, and configure reasonable behavioral parameters for the user's current operation characteristics based on the comparison and analysis results. The fourth module is used to determine the user's comprehensive priority index based on the user's preset or temporary priority permission parameters and the reasonable parameters of the user's configured behavior. Based on the comprehensive priority index of different users, the order of emphasis of users in collaborative office actions is determined.

[0014] This application discloses a paperless collaborative office method and system for enterprises, relating to the field of office system technology. The specific technical solution includes associating each user with historical operation characteristic records, comparing the user's current operation characteristics with historical operation characteristic records, configuring reasonable behavioral parameters for the current operation characteristics based on the comparison results, determining the user's comprehensive priority index in conjunction with priority permission parameters, and determining the user's emphasis order in collaborative office actions based on the comprehensive priority index of different users. Through the above technical solution, this application achieves behavioral rationality analysis of the user's current operation characteristics, optimizes the user's comprehensive priority index based on the analysis results, and thus determines the user's emphasis order in collaborative office actions. Furthermore, it can guide the accuracy of actions within the same application component based on the comprehensive priority index, effectively avoiding a decrease in office accuracy caused by operational differences.

[0015] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating the steps of a paperless collaborative office method for enterprises disclosed in this application. Detailed Implementation

[0017] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0018] The technical solution of the present invention will be clearly and completely described below with reference to the accompanying drawings and specific embodiments. It should be understood that the preferred embodiments described herein are only for illustration and explanation of the present invention and should not be construed as limiting the scope of protection of the present invention. Those skilled in the art can make some non-essential improvements and adjustments based on the following content of the present invention. In this invention, unless otherwise expressly specified and limited, the technical terms used in this application should have the ordinary meaning understood by those skilled in the art.

[0019] Example: The purpose of this invention is to provide a collaborative office method and system that can effectively avoid user operation conflicts and prevent the decline in office accuracy caused by operational differences.

[0020] This application discloses a paperless collaborative office method for enterprises, as described in Figure 1, including: Step S100: Analyze the past operation logs of different users, determine the content factors of each user's actions during the user operation process, record the content factors of the actions, generate historical operation feature records, and associate the historical operation feature records with the users.

[0021] It's important to understand that in this step, the system analyzes the past operation logs of different users to determine the action content factors in each user's operation process. These factors involve various user operations within the system, such as document editing, file sharing, and meeting participation. The system records these action content factors to generate a record of the user's historical operation characteristics. This helps to understand each user's preferences, frequency of operations, and collaboration patterns with other users in the past.

[0022] Step S200: Analyze the user operation access request and determine whether the user's user category matches the current office content. If it matches, the user operation access request is approved; otherwise, the user operation access request is rejected.

[0023] It's important to understand that when a user initiates an operation request, the system analyzes the request to determine if the user's category matches the content of the current collaborative work. If it does, the system approves the request and allows the user to perform the corresponding operation; otherwise, the system rejects the request. This step helps ensure that users operate within the appropriate context, improving work efficiency.

[0024] In step S300, if the access request is made through user operation, the user operation information is obtained and analyzed to determine the user's current operation characteristics.

[0025] It's important to understand that once a user's access request is approved, the system obtains and analyzes the user's current operation information to determine the user's current operational characteristics. This includes the task the user is currently undertaking, the document or file they are working on, the meetings they are participating in, etc. This helps the system better understand the user's current work status.

[0026] Step S400: Compare the user's current operation characteristics with historical operation characteristics, and configure reasonable behavioral parameters for the user's current operation characteristics based on the comparison analysis results.

[0027] It's important to understand that the system compares a user's current operational characteristics with their historical operational characteristics. Based on the comparison and analysis results, the system configures appropriate parameters for the user's current operational characteristics. This helps adjust the system's response and permission configuration based on the user's past and current behavior, better adapting to the user's work patterns.

[0028] Step S500: Based on the user's preset or temporarily set priority permission parameters, and the reasonable parameters of the user's configured behavior, determine the user's comprehensive priority index.

[0029] In this step, the system determines the user's overall priority index based on the user's preset or temporarily set priority permission parameters, as well as reasonable parameters for the user's configured behavior. This helps the system tailor appropriate operation permissions and response methods for each user, improving user experience and work efficiency.

[0030] Step S600: Based on the comprehensive priority indicators of different users, determine the order of emphasis of users in collaborative office actions.

[0031] Finally, based on the comprehensive priority indicators of different users, the system determines the order of importance of users' collaborative work actions. This means that the system can adjust the priority of collaborative work according to users' personalized needs and work characteristics, ensuring that more important operations for users can receive faster responses and support.

[0032] In some embodiments of this application, the enterprise paperless collaborative office method further includes: The first step is to determine the user with priority in collaborative work when action conflicts occur, based on the priority order of different users' collaborative work actions, and to allow the user with priority to perform the action while blocking other users from performing the action.

[0033] The second step is to determine the user who is given priority based on the order of their collaborative actions, and to store and display the content of the user's actions. The content of the actions of other users is stored and marked according to their respective order of priority for collaborative actions.

[0034] In some embodiments of this application, the enterprise paperless collaborative office method further includes: The first step is to create several office templates to meet the needs of enterprise office work, and each office template has several corresponding office scenarios.

[0035] The second step is to determine the action components that can be operated on the office template for each office scenario corresponding to the office template, and to determine the action characteristics that can be performed by each action component.

[0036] The third step is to generate an action data reference matrix based on the action components and action features determined for each office scenario corresponding to the office template, and to distinguish and identify the actions during user operation based on the action data reference matrix.

[0037] The expression for the motion data reference matrix is ​​as follows: .

[0038] in, This indicates the position coordinates of the action component relative to the office template. Indicates coordinates as The corresponding i-th action feature of the action component.

[0039] In some embodiments of this application, the method for determining the content factor of each user's actions during user operations includes: The first step is to identify and mark the task start and end points recorded in the user's past operation logs, and then segment the past operation logs based on the identified task start and end points to form several past operation record segments.

[0040] The second step is to analyze several past operation records of the user to determine the office template called by the user for each task operation, and to determine the action components mapped on the office template and the content factors made on the action components. The determined action components and content factors are then converted to generate historical operation feature records.

[0041] In some embodiments of this application, the method for analyzing user operation information and determining the user's current operation characteristics includes: The first step is to determine the office template invoked by the user based on the user's operation information, and to identify the action components triggered by the user's actions on the user template, as well as the content factors generated by the action components.

[0042] The second step is to convert the user's current action components and the content factors generated for each action component into current operation features.

[0043] In some embodiments of this application, the method for comparing a user's current operation characteristics with historical operation characteristics includes: The first step is to construct a current action data matrix based on the current operation characteristics: Analyze the user's current operation characteristics to determine the first relative position of the invoked action component relative to the office template; based on the action feature group corresponding to the mapping of the first relative position in the action data reference matrix, perform feature recognition mapping on the content factors of the current action component to obtain the first action feature corresponding to the invoked action component; construct the current action data matrix based on the first relative position and the first action feature corresponding to the invoked action component.

[0044] The second step is to construct a historical action data matrix based on historical operation feature records: Analyze the user's historical operation feature records to determine the second relative position of the invoked action component relative to the office template; based on the action feature group corresponding to the mapping of the second relative position in the action data reference matrix, perform feature recognition mapping on the content factors of the current action component to obtain the second action feature corresponding to the invoked action component; construct the historical action data matrix based on the second relative position and second action feature corresponding to the invoked action component.

[0045] The third step is to compare and analyze the current action data matrix with the historical action data matrix.

[0046] The fourth step is to determine the trigger difference features between the current action data matrix and the historical action data matrix based on the difference between the first and second relative positions of the triggered action components.

[0047] The fifth step is to determine the action difference features between the current action data matrix and the historical action data matrix based on the difference between the first action feature and the second action feature of the triggered action component.

[0048] In some embodiments of this application, the method for configuring reasonable parameters for user's current operational characteristics includes: The first step is to construct the first reasonable sub-parameter operator based on the triggering differences between the current action data matrix and the historical action data matrix.

[0049] The second step is to construct a second reasonable sub-parameter operator based on the differences in action characteristics between the current action data matrix and the historical action data matrix.

[0050] The third step is to construct a behavior-appropriate parameter expression based on the first and second reasonable sub-parameter operators.

[0051] The expression for the reasonable behavior parameter is as follows: .

[0052] in, For the corresponding values ​​of reasonable parameters of behavior, The highest value of the first reasonable sub-parameter. The highest value of the second reasonable sub-parameter. First reasonable subparameter conversion coefficient, The second reasonable subparameter conversion coefficient, This represents the number of action components triggered in the current action data matrix. This represents the number of action components triggered in the historical action data matrix. The number of action features equal to the number of action features in the action data matrix and the historical action data matrix. As the first adjustment constant, This is the second adjustment constant.

[0053] In some embodiments of this application, the method for determining a user's overall priority index includes: The first step is to determine the user's operation priority permission based on the user's operation access request, and then configure the first priority permission parameter for the user based on the user's operation priority permission.

[0054] The second step is to set temporary second priority permission parameters for users based on the management instructions received by the system.

[0055] The third step is to calculate the sum of the user's first priority permission parameter, second priority permission parameter, and reasonable behavior parameter to obtain the corresponding value of the user's comprehensive priority index.

[0056] In some embodiments of this application, a paperless collaborative office system for enterprises is also disclosed, including: a first module, a second module, a third module, and a fourth module.

[0057] The first module is used to analyze the past operation logs of different users, determine the content factors of each user's actions during the user operation process, record the content factors of the actions, generate historical operation feature records, and associate the historical operation feature records with the users.

[0058] The second module is used to analyze user operation access requests and determine whether the user's user category matches the current office content. If it matches, the user operation access request is approved; if it does not match, the user operation access request is rejected.

[0059] The third module is used to obtain user operation information if a user operation access request is made, analyze the user operation information, determine the user's current operation characteristics, compare the user's current operation characteristics with historical operation characteristics, and configure reasonable behavioral parameters for the user's current operation characteristics based on the comparison and analysis results.

[0060] The fourth module is used to determine the user's comprehensive priority index based on the user's preset or temporarily set priority permission parameters and the reasonable parameters of the user's configured behavior. Based on the comprehensive priority index of different users, the module determines the order of emphasis of users in collaborative office actions.

[0061] Through the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware or by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) and includes several instructions to cause a computer device (such as a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0062] This application discloses a paperless collaborative office method and system for enterprises, relating to the field of office system technology. The specific technical solution includes associating each user with historical operation characteristic records, comparing the user's current operation characteristics with historical operation characteristic records, configuring reasonable behavioral parameters for the current operation characteristics based on the comparison results, determining the user's comprehensive priority index in conjunction with priority permission parameters, and determining the user's emphasis order in collaborative office actions based on the comprehensive priority index of different users. Through the above technical solution, this application achieves behavioral rationality analysis of the user's current operation characteristics, optimizes the user's comprehensive priority index based on the analysis results, and thus determines the user's emphasis order in collaborative office actions. Furthermore, it can guide the accuracy of actions within the same application component based on the comprehensive priority index, effectively avoiding a decrease in office accuracy caused by operational differences.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A paperless collaborative office method for enterprises, characterized in that, include: Analyze the past operation logs of different users, determine the content factors of each user's actions during the user operation process, record the content factors of the actions, generate historical operation feature records, and associate the historical operation feature records with users; Analyze user operation access requests to determine whether the user's user category matches the current office content. If it matches, the user operation access request is approved; otherwise, the user operation access request is rejected. If the access request is made through user operation, the user operation information is obtained and analyzed to determine the user's current operation characteristics. The system compares the user's current operation characteristics with their historical operation characteristics, and based on the comparison and analysis results, configures appropriate behavioral parameters for the user's current operation characteristics. Based on user-preset or temporarily set priority permission parameters, as well as reasonable parameters for user-configured behavior, determine the user's comprehensive priority index. Based on the comprehensive priority indicators of different users, the order of priority for users' collaborative work actions is determined.

2. The paperless collaborative office method for enterprises according to claim 1, characterized in that, Also includes: Based on the priority of different users' collaborative work actions, determine the user with priority in the event of a conflict during collaborative work, and allow the user with priority to perform the action while blocking other users from performing the action; If several users intervene in the same operation and their operation characteristics are inconsistent, the user with priority is determined according to the order of their collaborative work actions. The operation content of the user with priority is stored and displayed. The operation content of other users is stored and marked according to their respective collaborative work action priority configurations.

3. The paperless collaborative office method for enterprises according to claim 1, characterized in that, Also includes: To meet the needs of enterprise office work, several office templates have been created, and each office template has several corresponding office scenarios. For each office scenario corresponding to the office template, the action components for operation on the office template are determined, and the action characteristics that each action component can perform are determined. Based on the action components and action features determined for each office scenario corresponding to the office template, an action data reference matrix is ​​generated, and the action data reference matrix is ​​used to distinguish and identify the actions during user operation. The expression for the motion data reference matrix is ​​as follows: ， in, This indicates the position coordinates of the action component relative to the office template. Indicates coordinates as The corresponding i-th action feature of the action component.

4. The paperless collaborative office method for enterprises according to claim 3, characterized in that, Methods for determining the content factors of each user's actions during user operations include: The task start point and task end point recorded in the user's past operation log are identified and marked, and the past operation log is segmented based on the determined task start point and task end point to form several past operation record segments; The system analyzes several past operation records of the user to determine the office template invoked by the user for each task operation, and identifies the action components mapped on the office template and the content factors that are applied to the action components. The identified action components and content factors are then converted to generate historical operation feature records.

5. A paperless collaborative office method for enterprises according to claim 3, characterized in that, Methods for analyzing user action information to determine the current characteristics of a user's actions include: Based on user operation information, determine the office template invoked by the user, and identify the action components triggered by the user's actions on the template, as well as the content factors generated by the action components. The user's current action component and the content factors generated for each action component are converted into current operation features.

6. A paperless collaborative office method for enterprises according to claim 5, characterized in that, Methods for comparing a user's current and historical operation characteristics include: Construct a current action data matrix based on the current operation characteristics: Analyze the user's current operation characteristics to determine the first relative position of the invoked action component relative to the office template; Based on the action feature group corresponding to the mapping of the first relative position in the action data reference matrix, feature recognition mapping is performed on the content factors of the current action component to obtain the first action feature corresponding to the called action component. Construct the current action data matrix based on the first relative position and first action feature corresponding to the invoked action component; Construct a historical action data matrix based on historical operation feature records: Analyze the user's historical operation characteristics to determine the second relative position of the invoked action component relative to the office template; Based on the action feature group corresponding to the mapping of the second relative position in the action data reference matrix, feature recognition mapping is performed on the content factors of the current action component to obtain the second action feature corresponding to the called action component. Based on the second relative position and second action features corresponding to the invoked action component, a historical action data matrix is ​​constructed. Compare and analyze the current action data matrix with the historical action data matrix; Based on the difference between the first and second relative positions of the triggered action components, determine the trigger difference characteristics between the current action data matrix and the historical action data matrix; Based on the difference between the first and second action features of the triggered action component, the action difference features between the current action data matrix and the historical action data matrix are determined.

7. A paperless collaborative office method for enterprises according to claim 6, characterized in that, Methods for configuring appropriate parameters for user behavior based on current operational characteristics include: Based on the triggering differences between the current action data matrix and the historical action data matrix, a first reasonable sub-parameter operator is constructed; Based on the differences in action characteristics between the current action data matrix and the historical action data matrix, a second reasonable sub-parameter operator is constructed. Based on the first and second reasonable subparameter operators, construct the behavior reasonable parameter expression; The expression for the reasonable behavior parameter is as follows: ； in, For the corresponding values ​​of reasonable parameters of behavior, The highest value of the first reasonable sub-parameter. The highest value of the second reasonable sub-parameter. First reasonable subparameter conversion coefficient, The second reasonable subparameter conversion coefficient, This represents the number of action components triggered in the current action data matrix. This represents the number of action components triggered in the historical action data matrix. The number of action features equal to the number of action features in the action data matrix and the historical action data matrix. As the first adjustment constant, This is the second adjustment constant.

8. A paperless collaborative office method for enterprises according to claim 1, characterized in that, Methods for determining a user's overall priority metrics include: Based on the user's access request, determine the user's operation priority permission, and configure the first priority permission parameter for the user based on the user's operation priority permission; Based on the management instructions received by the system, a temporary second priority permission parameter is set for the user; The sum of the user's first priority permission parameter, second priority permission parameter, and reasonable behavior parameter is calculated to obtain the corresponding value of the user's comprehensive priority index.

9. A paperless collaborative office system for enterprises, characterized in that, include: The first module is used to analyze the past operation logs of different users, determine the content factors of each user's actions during the user operation process, record the content factors of the actions, generate historical operation feature records, and associate the historical operation feature records with users. The second module is used to analyze user operation access requests and determine whether the user's user category matches the current office content. If it matches, the user operation access request is approved; if it does not match, the user operation access request is rejected. The third module is used to obtain user operation information if a user operation access request is made, analyze the user operation information, determine the user's current operation characteristics, compare the user's current operation characteristics with historical operation characteristics, and configure reasonable behavioral parameters for the user's current operation characteristics based on the comparison and analysis results. The fourth module is used to determine the user's comprehensive priority index based on the user's preset or temporary priority permission parameters and the reasonable parameters of the user's configured behavior. Based on the comprehensive priority index of different users, the order of emphasis of users in collaborative office actions is determined.

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