Office software intelligent interaction management platform based on artificial intelligence

Abstract

The invention discloses an intelligent office software interaction management platform based on artificial intelligence, and relates to the technical field of office software, which comprises the steps of setting a function management module for data collection based on the intelligent user interaction management requirement of the office software, recording the functions with higher utilization rate and the functions with lower utilization rate of the office software, generating a utilization rate visual report; using a data analysis tool to collect user operation behavior data, understanding the use habits and preferences of the user, and generating a user visual report; a customizable service is set based on the utilization rate visual report and the user visual report; the user selects functions through function introduction according to habits and preferences; a user feedback mechanism is established, multi-channel collection feedback is realized, the understanding of the user on the function can be increased, the utilization rate of the user on the function is improved, customized services are provided for a specific user group or a business scene, the utilization rate of office software is improved, and the use experience of the user is also improved.

Description

Technical Field

[0001] The present invention relates to the technical field of office software, and in particular to an office software intelligent interactive management platform based on artificial intelligence. Background Art

[0002] The existing AI-based office software intelligent interactive management platform still has the following drawbacks in actual use:

[0003] Artificial intelligence technology is a comprehensive management platform designed to improve office efficiency, optimize office processes, and improve user office experience. It integrates a variety of artificial intelligence technologies such as natural language processing, machine learning, and computer vision to provide intelligent solutions for office scenarios, covering all aspects of office software, such as document processing, communication and collaboration, task management, and data analysis. The main goal is to provide a seamless, personalized, and intelligent interactive experience to meet the needs of users in different scenarios (such as office, customer service, smart home, etc.), while helping enterprises or organizations better manage interactive processes, improve work efficiency, increase customer satisfaction, and tap potential value.

[0004] However, in the process of interaction, in order to improve the compatibility between software, software developers will update the software in a timely manner and fix known compatibility issues. However, the new intelligent interaction method requires users to spend time learning and adapting; if the operation is complicated or unintuitive, it will cause trouble to users, especially for some people who are not familiar with the new functions, which may reduce their work efficiency and increase the difficulty of user use, making it impossible for the functions in the software to be developed and utilized on a large scale. Different users have different work habits and needs, and the platform may find it difficult to fully meet everyone's personalized requirements; general intelligent functions may not be able to provide customized services for specific user groups or business scenarios, making some users feel that the platform is not suitable for their actual work. Summary of the invention

[0005] The purpose of the present invention is to provide an office software intelligent interactive management platform based on artificial intelligence to solve the problems existing in the prior art.

[0006] In order to achieve the above-mentioned purpose, the present invention provides the following technical solutions: an office software intelligent interaction management platform based on artificial intelligence, including user interaction management requirements based on office software intelligence, setting a function management module to collect data, recording functions with high usage rates and functions with low usage rates of office software, and generating a usage visualization report;

[0007] Use data analysis tools to collect user operation behavior data, understand user usage habits and preferences, and generate user visualization reports;

[0008] Based on the usage visualization report and user visualization report, customizable services are set up; users select functions based on their habits and preferences through function introductions;

[0009] Establish a user feedback mechanism, collect feedback through multiple channels, combine the usage rate of office software functions with user feedback, classify and sort based on the decision tree algorithm, analyze the sorted results, obtain feedback results, and optimize the feedback results;

[0010] Establish a function promotion mechanism to highlight low-usage functions and new functions of office software based on big data algorithms, and process low-usage functions based on feedback from the functions.

[0011] Furthermore, based on the user interaction management requirements of the office software intelligence, a function management module is set to collect data, record the functions with high usage rate and the functions with low usage rate of the office software, and generate a usage visualization report, which specifically includes:

[0012] A simple counting method based on frequency of use sets a counter for each software function. Every time a user uses the function, the counter increases by 1. After a period of statistics (such as one day, one week or one month), the usage rate is judged by comparing the values ​​of the counters of each function. For example, if function A is used 1,000 times in a month and function B is used 100 times, then the usage rate of function A is relatively high.

[0013] Furthermore, the user interaction management requirements based on the office software intelligence are to set a function management module to collect data, record the functions with high usage rate and the functions with low usage rate of the office software, and generate a usage visualization report, which also includes:

[0014] Based on Excel, the statistical data on office software function usage is converted into a usage visualization report.

[0015] Furthermore, the data analysis tool is used to collect user operation behavior data, understand user usage habits and preferences, and generate user visualization reports, specifically including:

[0016] Establish a module for analyzing user behavior data, use the software's built-in data analysis tools to collect user operation behavior data, analyze this data to understand user usage habits and preferences, and obtain visual reports.

[0017] Furthermore, the establishment of a user behavior data analysis module, using the built-in data analysis tools in the software to collect user operation behavior data, analyzing these data to understand the user's usage habits and preferences, and obtaining visual reports, also includes:

[0018] Based on stratified sampling combined with statistical inference algorithms, the user group is first stratified, for example, according to factors such as user region, age, and software version used. Then, a certain number of user samples are randomly selected from each layer. For the sampled users, their usage of various software functions over a period of time is counted, including usage frequency, usage time, etc. Finally, statistical inference methods (such as confidence interval estimation and hypothesis testing) are used to infer the usage rate of each function in the entire user group. For example, if the usage rate of function D in user samples in a certain area is significantly higher than that in other areas, then the characteristics and needs of users in that area can be further analyzed to determine whether function D has special appeal in that area.

[0019] Based on Excel, the statistical data on user usage habits and preferences are converted into user visualization reports.

[0020] Furthermore, based on the usage visualization report and the user visualization report, a customizable service is established; the user selects the function through the function introduction according to the habits and preferences, specifically including:

[0021] Provide customized modules for specific user groups or business scenarios. Based on low-code or no-code development platforms, users can quickly move frequently used functions to customized modules for development and customization by dragging components and configuring parameters to meet the working habits and needs of different users.

[0022] Furthermore, the user feedback mechanism is established to collect feedback through multiple channels, the utilization rate of office software functions is combined with user feedback, classified and sorted based on the decision tree algorithm, and the sorted results are analyzed to obtain feedback results, and the feedback results are optimized, specifically including:

[0023] Set up feedback portals within the office software, such as feedback buttons and suggestion boxes, to facilitate users to submit feature suggestions, questions, and usage experiences at any time. At the same time, feedback can also be collected through external channels, such as social media groups, online customer service, user evaluation platforms, etc.

[0024] Based on the decision tree algorithm, the feedback on office software functions is divided into frequency of use, importance, and lack of understanding categories for analysis to obtain the feedback results.

[0025] Furthermore, the function promotion mechanism is established to highlight the functions of office software with low usage rates and new functions based on big data algorithms, and to process the functions with low usage rates according to the feedback from the functions, including:

[0026] When a function has low usage due to defects or does not meet user needs, repair or adjust it in a timely manner;

[0027] When the reason for the low usage rate of a certain function is that it has a low sense of existence and is not easy to understand, a prompt pop-up algorithm based on the time interval is used. When the reason for the low usage rate of a certain function is that it has a low sense of existence and is not easy to understand, a prompt pop-up algorithm based on the time interval is used. The prompt pop-up condition is expressed as:

[0028] Tcurrent-Tstart≥n×tinterval

[0029] Assume the software startup time is T start , the prompt interval is tinterval, the current time is T current , where n is an integer, indicating the number of complete intervals that have passed. When this condition is met, a prompt pops up;

[0030] Set a fixed time interval, such as popping up reminders of low usage and new function updates every day or week, and provide detailed operation guides, make video tutorials or provide interactive guidance to further optimize the functional effects of office software.

[0031] Furthermore, the processing of the functions with low usage rate according to the second feedback of the functions also includes:

[0032] For the updated functions, feedback is collected, and they are evaluated again and optimized.

[0033] Compared with the prior art, the office software intelligent interactive management platform based on artificial intelligence provided by the present invention has the following beneficial effects:

[0034] This AI-based office software intelligent interactive management platform sets up a function management module to collect data based on the user interactive management needs of office software intelligence, records the functions with high and low usage rates of office software, and generates a visualization report on usage rates;

[0035] Use data analysis tools to collect user operation behavior data, understand user usage habits and preferences, and generate user visualization reports;

[0036] Based on the usage visualization report and user visualization report, customizable services are set up; users select functions based on their habits and preferences through function introductions;

[0037] Establish a user feedback mechanism, collect feedback through multiple channels, combine the usage rate of office software functions with user feedback, classify and sort based on the decision tree algorithm, analyze the sorted results, obtain feedback results, and optimize the feedback results;

[0038] Establish a function promotion mechanism based on big data algorithms to highlight the functions with low usage rates and new functions of office software, and process the low-usage functions based on the feedback on the functions. This can increase users' understanding of the functions, improve users' utilization of the functions, and provide customized services for specific user groups or business scenarios, which not only improves the utilization rate of office software, but also improves the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0040] Figure 1 It is a schematic diagram of the process structure of the present invention;

[0041] Figure 2 It is a schematic diagram of the process structure of the present invention. DETAILED DESCRIPTION

[0042] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0043] See also Figure 1-2 , an office software intelligent interaction management platform based on artificial intelligence, including user interaction management requirements based on office software intelligence, setting a function management module for data collection, recording functions with high usage rates and functions with low usage rates of office software, and generating a usage visualization report;

[0044] Use data analysis tools to collect user operation behavior data, understand user usage habits and preferences, and generate user visualization reports;

[0045] Based on the usage visualization report and user visualization report, customizable services are set up; users select functions based on their habits and preferences through function introductions;

[0046] Establish a user feedback mechanism, collect feedback through multiple channels, combine the usage rate of office software functions with user feedback, classify and sort based on the decision tree algorithm, analyze the sorted results, obtain feedback results, and optimize the feedback results;

[0047] Establish a function promotion mechanism to highlight low-usage functions and new functions of office software based on big data algorithms, and process low-usage functions based on feedback from the functions.

[0048] S101. Based on the needs of intelligent user interaction management of office software, a function management module is set to collect data, record the functions with high usage rates and functions with low usage rates of office software, and generate a usage visualization report, specifically including:

[0049] A simple counting method based on frequency of use sets a counter for each software function. Every time a user uses the function, the counter increases by 1. After a period of statistics (such as one day, one week or one month), the usage rate is judged by comparing the values ​​of the counters of each function. For example, if function A is used 1,000 times in a month and function B is used 100 times, then the usage rate of function A is relatively high.

[0050] Based on the needs of intelligent user interaction management of office software, a function management module is set up to collect data, record the functions with high and low usage rates of office software, and generate a visualization report on usage rates. It also includes:

[0051] Based on Excel, the statistical data on office software function usage is converted into a usage visualization report.

[0052] S102. Use data analysis tools to collect user operation behavior data, understand user usage habits and preferences, and generate user visualization reports, including:

[0053] Establish a module for analyzing user behavior data, use the software's built-in data analysis tools to collect user operation behavior data, analyze this data to understand user usage habits and preferences, and obtain visual reports.

[0054] Set up a user behavior data analysis module, use the software's built-in data analysis tools to collect user operation behavior data, analyze this data to understand user usage habits and preferences, and obtain visual reports, including:

[0055] Based on stratified sampling combined with statistical inference algorithms, the user group is first stratified, for example, according to factors such as user region, age, and software version used. Then, a certain number of user samples are randomly selected from each layer. For the sampled users, their usage of various software functions over a period of time is counted, including usage frequency, usage time, etc. Finally, statistical inference methods (such as confidence interval estimation and hypothesis testing) are used to infer the usage rate of each function in the entire user group. For example, if the usage rate of function D in user samples in a certain area is significantly higher than that in other areas, then the characteristics and needs of users in that area can be further analyzed to determine whether function D has special appeal in that area.

[0056] Based on Excel, the statistical data on user usage habits and preferences are converted into user visualization reports.

[0057] S103. Based on the usage visualization report and the user visualization report, a customizable service is established; the user selects a function through the function introduction according to habits and preferences, specifically including:

[0058] Provide customized modules for specific user groups or business scenarios. Based on low-code or no-code development platforms, users can quickly move frequently used functions to customized modules for development and customization by dragging components and configuring parameters to meet the working habits and needs of different users.

[0059] S104. Establish a user feedback mechanism, collect feedback through multiple channels, classify and sort the usage rate of office software functions in combination with user feedback based on a decision tree algorithm, analyze the sorted results, obtain feedback results, and optimize the feedback results, including:

[0060] Set up feedback portals within the office software, such as feedback buttons and suggestion boxes, to facilitate users to submit feature suggestions, questions, and usage experiences at any time. At the same time, feedback can also be collected through external channels, such as social media groups, online customer service, user evaluation platforms, etc.

[0061] Based on the decision tree algorithm, the feedback on office software functions is divided into frequency of use, importance, and lack of understanding categories for analysis to obtain the feedback results.

[0062] S105. Establish a function promotion mechanism. Based on big data algorithms, highlight the functions of office software with low usage rates and new functions. According to the feedback from the functions again, handle the functions with low usage rates. Specifically, include:

[0063] When a function has low usage due to defects or does not meet user needs, repair or adjust it in a timely manner;

[0064] When the reason for the low usage rate of a certain function is that it has a low sense of existence and is not easy to understand, a prompt pop-up algorithm based on the time interval is used. When the reason for the low usage rate of a certain function is that it has a low sense of existence and is not easy to understand, a prompt pop-up algorithm based on the time interval is used. The prompt pop-up condition is expressed as:

[0065] Tcurrent-Tstart≥n×tinterval

[0066] Assume the software startup time is T start , the prompt interval is tinterval, the current time is T current , where n is an integer, indicating the number of complete intervals that have passed. When this condition is met, a prompt pops up;

[0067] Set a fixed time interval, such as popping up reminders of low usage and new function updates every day or week, and provide detailed operation guides, make video tutorials or provide interactive guidance to further optimize the functional effects of office software.

[0068] Based on the feedback from the functions again, the functions with low usage rates are processed, including:

[0069] For the updated functions, feedback is collected, and they are evaluated again and optimized.

[0070] The above description is only by way of illustration of certain exemplary embodiments of the present invention. It is undoubted that those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. An office software intelligent interactive management platform based on artificial intelligence, characterized in that: Including the user interaction management needs based on the intelligence of office software, setting up the function management module to collect data, recording the functions with high and low usage rates of office software, and generating a visualization report on usage rate; Use data analysis tools to collect user operation behavior data, understand user usage habits and preferences, and generate user visualization reports; Based on the usage visualization report and user visualization report, customizable services are set up; users select functions based on their habits and preferences through function introductions; Establish a user feedback mechanism, collect feedback through multiple channels, combine the usage rate of office software functions with user feedback, classify and sort based on the decision tree algorithm, analyze the sorted results, obtain feedback results, and optimize the feedback results; Establish a function promotion mechanism to highlight low-usage functions and new functions of office software based on big data algorithms, and process low-usage functions based on feedback from the functions.

2. The office software intelligent interactive management platform based on artificial intelligence according to claim 1, characterized in that: The user interaction management requirements based on the office software intelligence are to set a function management module to collect data, record the functions with high usage rate and low usage rate of the office software, and generate a usage visualization report, which specifically includes: A simple counting method based on frequency of use sets a counter for each software function. Every time a user uses the function, the counter increases by 1. After a period of statistics (such as one day, one week or one month), the usage rate is judged by comparing the values ​​of the counters of each function. For example, if function A is used 1,000 times in a month and function B is used 100 times, then the usage rate of function A is relatively high.

3. The office software intelligent interactive management platform based on artificial intelligence according to claim 2, characterized in that: The user interaction management requirements based on the office software intelligence are to set a function management module to collect data, record the functions with high usage rate and low usage rate of the office software, and generate a usage visualization report, which also includes: Based on Excel, the statistical data on office software function usage is converted into a usage visualization report.

4. The office software intelligent interactive management platform based on artificial intelligence according to claim 1, characterized in that: The data analysis tool is used to collect user operation behavior data, understand user usage habits and preferences, and generate user visualization reports, including: Establish a module for analyzing user behavior data, use the software's built-in data analysis tools to collect user operation behavior data, analyze this data to understand user usage habits and preferences, and obtain visual reports.

5. The office software intelligent interactive management platform based on artificial intelligence according to claim 4, characterized in that: The establishment of a user behavior data analysis module uses the built-in data analysis tools in the software to collect user operation behavior data, analyze these data to understand user usage habits and preferences, and obtain visual reports, and also includes: Based on stratified sampling combined with statistical inference algorithms, the user group is first stratified, for example, according to factors such as user region, age, and software version used. Then, a certain number of user samples are randomly selected from each layer. For the sampled users, their usage of various software functions over a period of time is counted, including usage frequency, usage time, etc. Finally, statistical inference methods (such as confidence interval estimation and hypothesis testing) are used to infer the usage rate of each function in the entire user group. For example, if the usage rate of function D in user samples in a certain area is significantly higher than that in other areas, then the characteristics and needs of users in that area can be further analyzed to determine whether function D has special appeal in that area. Based on Excel, the statistical data on user usage habits and preferences are converted into user visualization reports.

6. The office software intelligent interactive management platform based on artificial intelligence according to claim 1, characterized in that: The provision of customizable services based on usage visualization reports and user visualization reports; Users select functions based on their habits and preferences through function introductions, including: Provide customized modules for specific user groups or business scenarios. Based on low-code or no-code development platforms, users can quickly move frequently used functions to customized modules for development and customization by dragging components and configuring parameters to meet the working habits and needs of different users.

7. The office software intelligent interactive management platform based on artificial intelligence according to claim 1, characterized in that: The user feedback mechanism is established to collect feedback through multiple channels, the utilization rate of office software functions is combined with user feedback, classified and sorted based on the decision tree algorithm, and the sorted results are analyzed to obtain feedback results, and the feedback results are optimized, specifically including: Set up feedback portals within the office software, such as feedback buttons and suggestion boxes, to facilitate users to submit feature suggestions, questions, and usage experiences at any time. At the same time, feedback can also be collected through external channels, such as social media groups, online customer service, user evaluation platforms, etc. Based on the decision tree algorithm, the feedback on office software functions is divided into frequency of use, importance, and lack of understanding categories for analysis to obtain the feedback results.

8. The office software intelligent interactive management platform based on artificial intelligence according to claim 7, characterized in that: The function promotion mechanism is established based on big data algorithms to highlight the functions of office software with low usage rates and new functions, and to process the functions with low usage rates according to the feedback from the functions, including: When a function has low usage due to defects or does not meet user needs, repair or adjust it in a timely manner; When the reason for the low usage rate of a function is that it has a low sense of presence and is difficult to understand, a prompt pop-up algorithm based on the time interval is used, and the prompt pop-up condition is expressed as: Tcurrent-Tstart≥n×tinterval Assume the software startup time is T start , the prompt interval is tinterval, the current time is T current , where n is an integer, indicating the number of complete intervals that have passed. When this condition is met, a prompt pops up; Set a fixed time interval, such as popping up reminders of low usage and new function updates every day or week, and provide detailed operation guides, make video tutorials or provide interactive guidance to further optimize the functional effects of office software.

9. The office software intelligent interactive management platform based on artificial intelligence according to claim 1, characterized in that: The processing of the functions with low usage rate according to the second feedback of the functions also includes: For the updated functions, feedback is collected, and they are evaluated again and optimized.

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