CN115081403A - Conference PPT automatic generation method and device, electronic equipment and storage medium - Google Patents

Conference PPT automatic generation method and device, electronic equipment and storage medium Download PDF

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CN115081403A
CN115081403A CN202210886799.3A CN202210886799A CN115081403A CN 115081403 A CN115081403 A CN 115081403A CN 202210886799 A CN202210886799 A CN 202210886799A CN 115081403 A CN115081403 A CN 115081403A
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user
decision
reference data
decision parameter
parameters
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CN115081403B (en
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邢旭军
林绪辉
袁怡
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Guangdong One Kilometer Data Intelligence Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/166—Editing, e.g. inserting or deleting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24578—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482—Interaction with lists of selectable items, e.g. menus
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/166—Editing, e.g. inserting or deleting
    • G06F40/186—Templates
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management

Abstract

The application belongs to the technical field of computers and discloses a conference PPT automatic generation method, a conference PPT automatic generation device, electronic equipment and a storage medium, wherein the conference PPT automatic generation method comprises the following steps: generating a PPT file according to a template specified by a user, and displaying the PPT file; when a decision parameter insertion instruction is received, target decision parameter retrieval information input by a user is obtained; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user; retrieving information according to the target decision parameters, and displaying related reference data for a user to refer to so as to make decision parameters; acquiring a decision parameter input by a user, evaluating the decision parameter according to reference data, and displaying an evaluation result; confirming the decision parameters to generate text information for introducing the decision parameters, and inserting the text information into a PPT file; therefore, the method can assist the user to quickly finish the formulation of decision parameters and display the decision parameters in the PPT.

Description

Conference PPT automatic generation method and device, electronic equipment and storage medium
Technical Field
The application relates to the technical field of computers, in particular to a conference PPT automatic generation method and device, electronic equipment and a storage medium.
Background
An existing PPT automatic generation system generally generates corresponding PPTs according to a given template, only some data collected by the system (such as each item of expenditure data and business income data of each month, the number of orders of each month and the like) can be displayed in the generated PPTs, actually, sometimes a user needs to make a future production plan decision according to past production information, and relevant parameters of the decision are displayed in the PPT, at the moment, the user can only call each item of relevant data for analysis and then input the relevant parameters into the PPT, and the efficiency is low.
Disclosure of Invention
The application aims to provide a method and a device for automatically generating a conference PPT, an electronic device and a storage medium, which can assist a user in quickly finishing making a decision parameter and displaying the decision parameter in the PPT.
In a first aspect, the present application provides an automatic generation method for a conference PPT, including the steps of:
A1. generating a PPT file according to a template designated by a user, and displaying the PPT file;
A2. when a decision parameter insertion instruction is received, target decision parameter retrieval information input by a user is obtained; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user;
A3. retrieving information according to the target decision parameters, and displaying related reference data for a user to refer to so as to make decision parameters;
A4. acquiring a decision parameter input by a user, evaluating the decision parameter according to the reference data, and displaying an evaluation result;
A5. and confirming the decision parameters to generate text information for introducing the decision parameters, and inserting the text information into the PPT file.
According to the conference PPT automatic generation method, after a PPT file is generated according to a template specified by a user, if the user needs to insert decision parameters into the PPT file, relevant reference data are displayed according to the specific types of the decision parameters which need to be inserted by the user, so that the user can make specific decision parameters according to the reference data, the user does not need to call various relevant data for analysis, the efficiency of making the decision parameters by the user is improved, and meanwhile, the rationality of the decision parameters made by the user is improved by evaluating the decision parameters made by the user.
Preferably, step a3 includes:
A301. according to the target decision parameter retrieval information, traversing each operating parameter of an enterprise to which the user belongs in a database to extract a plurality of operating parameters with higher correlation with the target decision parameter retrieval information as reference data;
A302. and generating a reference information list according to the reference data, and displaying the reference information list.
By screening multiple operating parameters with high correlation as reference data for users to refer to, the decision making efficiency of the users is prevented from being influenced by excessive displayed reference data, and meanwhile, the decision making parameters made by the users can be guaranteed to have sufficient basis, so that the rationality of the decision making parameters made by the users is guaranteed.
Preferably, step a301 comprises:
extracting the correlation between each operation parameter of the enterprise to which the user belongs and the target decision parameter retrieval information;
sorting the operation parameters in a descending order according to the correlation;
and extracting the top N operation parameters as reference data according to the sorting result, wherein N is a preset positive integer larger than 1.
Preferably, the reference information list is an index table recording indexes of the reference data items;
after step a302, the method further includes:
A303. and generating and displaying a data table according to the indexes selected by the user in the reference information list, wherein the data table is used for displaying the data values of the reference data corresponding to all the selected indexes.
Sometimes, the reference data automatically selected by the system may not be all data concerned by the user, and data which is not concerned by the user may exist, and the influence of the irrelevant data on the decision making process of the user can be avoided by selecting the data concerned by the user and finally displaying specific contents according to the selection result, so that the rationality of the decision making parameters made by the user can be improved.
Preferably, after step a303, the method further comprises:
A304. and adjusting the correlation degree of the corresponding reference data and the target decision parameter retrieval information according to the index selected by the user in the reference information list.
Therefore, if the same type of decision parameters are inserted again later, data screening and display can be carried out according to the adjusted relevance, so that the matching of the data screening result and a decision maker (user) is improved, and the displayed reference data is more consistent with the thinking mode of the decision maker.
Preferably, step a4 includes:
A401. acquiring a decision parameter input by a user;
A402. retrieving information according to the target decision parameter to obtain the reference data of a reference enterprise; the reference enterprise and the enterprise to which the user belongs are the same-industry enterprises, and the deviation between the operation parameter of the reference enterprise corresponding to the target decision parameter retrieval information and the decision parameter input by the user is within a preset tolerance range; the type of the reference data contained in the obtained reference data of the reference enterprise is the same as that of the reference data contained in the reference data of the enterprise to which the user belongs;
A403. and comparing the reference data of the reference enterprise with the reference data of the enterprise to which the user belongs to evaluate the decision-making parameters, and displaying an evaluation result.
Preferably, step a5 includes:
A501. sending out inquiry information to confirm the decision parameters;
A502. if the user is detected to adjust the decision parameter, returning to step A4;
A503. and if the confirmation instruction sent by the user is detected, generating text information for introducing the decision parameter, and inserting the text information into the specified position of the PPT file.
In a second aspect, the present application provides an automatic conference PPT generation apparatus, including:
the first generation module is used for generating a PPT file according to a template specified by a user and displaying the PPT file;
the first acquisition module is used for acquiring target decision parameter retrieval information input by a user when a decision parameter insertion instruction is received; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user;
the first display module is used for retrieving information according to the target decision parameter and displaying related reference data for a user to refer to so as to make a decision parameter;
the evaluation module is used for acquiring decision parameters input by a user, evaluating the decision parameters according to the reference data and displaying evaluation results;
and the second generation module is used for performing confirmation operation on the decision parameters to generate text information for introducing the decision parameters and inserting the text information into the PPT file.
After the PPT file is generated according to the template designated by the user, if the user needs to insert the decision parameters into the PPT file, the related reference data is displayed according to the specific types of the decision parameters which need to be inserted by the user, so that the user can make specific decision parameters according to the reference data, the user does not need to call various related data for analysis, the efficiency of making the decision parameters by the user is improved, and meanwhile, the reasonability of the decision parameters made by the user is improved by evaluating the decision parameters made by the user.
In a third aspect, the present application provides an electronic device, which includes a processor and a memory, where the memory stores a computer program executable by the processor, and the processor executes the computer program to perform the steps in the conference PPT automatic generation method as described above.
In a fourth aspect, the present application provides a storage medium having a computer program stored thereon, where the computer program is executed by a processor to execute the steps of the conference PPT automatic generation method as described above.
Has the advantages that:
according to the conference PPT automatic generation method, the conference PPT automatic generation device, the electronic equipment and the storage medium, a PPT file is generated according to a template specified by a user, and the PPT file is displayed; when a decision parameter insertion instruction is received, target decision parameter retrieval information input by a user is obtained; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user; retrieving information according to the target decision parameters, and displaying related reference data for a user to refer to so as to make decision parameters; acquiring a decision parameter input by a user, evaluating the decision parameter according to the reference data, and displaying an evaluation result; confirming the decision parameters to generate text information for introducing the decision parameters, and inserting the text information into the PPT file; therefore, the method can assist the user to quickly finish the formulation of decision parameters and display the decision parameters in the PPT.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application.
Drawings
Fig. 1 is a flowchart of an automatic conference PPT generation method provided in an embodiment of the present application.
Fig. 2 is a schematic structural diagram of a conference PPT automatic generation device provided in the embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 shows an automatic conference PPT generation method in some embodiments of the present application, including the steps of:
A1. generating a PPT file according to a template specified by a user, and displaying the PPT file;
A2. when a decision parameter insertion instruction is received, target decision parameter retrieval information input by a user is obtained; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user;
A3. retrieving information according to the target decision parameters, and displaying related reference data for a user to refer to so as to make decision parameters;
A4. acquiring decision parameters input by a user, evaluating the decision parameters according to reference data, and displaying an evaluation result;
A5. and confirming the decision parameters to generate text information for introducing the decision parameters, and inserting the text information into the PPT file.
According to the conference PPT automatic generation method, after a PPT file is generated according to a template specified by a user, if the user needs to insert decision parameters into the PPT file, relevant reference data are displayed according to the specific types of the decision parameters which need to be inserted by the user, so that the user can make specific decision parameters according to the reference data, the user does not need to call various relevant data for analysis, the efficiency of making the decision parameters by the user is improved, and meanwhile, the rationality of the decision parameters made by the user is improved by evaluating the decision parameters made by the user.
The conference PPT automatic generation method can be applied to a cloud platform or a server inside an enterprise to provide a service for generating PPT files. The user accesses the cloud platform or the server through a user terminal (such as a PC, a mobile phone, a tablet computer, but not limited thereto) to perform the generation operation of the PPT file.
The generation of the PPT file according to the template specified by the user can be implemented according to any method in the prior art, which is not limited herein.
In some embodiments, step a2 includes:
when a decision parameter insertion instruction is received, popping up a retrieval box for a user to input target decision parameter retrieval information;
and extracting target decision parameter retrieval information input into the retrieval box by a user.
When the user triggers the decision parameter insertion button, the user terminal generates and sends a decision parameter insertion instruction.
The target decision parameter retrieval information generally includes information about the type of decision parameter to be inserted, such as, but not limited to, sales, labor cost, product price, development cost, product yield, marketing cost, etc. After the user inputs the target decision parameter retrieval information, the type information of the decision parameter to be inserted by the user can be identified through a keyword identification method to obtain a plurality of identification results with high possibility, an option list is generated and displayed according to the identification results for the user to select, and finally the target decision parameter retrieval information in the retrieval frame is adjusted according to the selection results of the user.
Preferably, step a3 includes:
A301. searching information according to the target decision parameter, traversing various operation parameters (such as sales, human cost, product price, development expense, product yield, marketing expense and the like, but not limited to the above) of the enterprise to which the user belongs in a database to extract a plurality of operation parameters with high correlation with the target decision parameter searching information as reference data;
A302. and generating a reference information list according to the reference data, and displaying the reference information list.
The operation parameters of the enterprise to which the user belongs are collected and uploaded by an operation management system of the enterprise in advance so as to be recorded in a database. By screening multiple operation parameters with high correlation as reference data for users to refer to, the decision efficiency of the users is prevented from being influenced by excessive displayed reference data (the reference data refers to the operation parameters as the reference data), and meanwhile, the decision parameters made by the users can be guaranteed to have sufficient basis, so that the rationality of the decision parameters made by the users is guaranteed.
The fact that the correlation between the operational parameters and the target decision parameter search information is high means that the correlation between the operational parameters and the target decision parameter search information is high compared with other operational parameters. In order to represent the correlation between each operation parameter and the target decision parameter retrieval information, the correlation between each operation parameter and the target decision parameter retrieval information (the type of the corresponding decision parameter) may be generated in advance, and the reference data may be screened according to the correlation. The correlation degree can be defined by the user, or preset by the system according to the industry attribute of the enterprise to which the user belongs.
For example, if the user wants to adjust the product price, the decision parameter to be made is the adjusted product price, and the reference data may include, but is not limited to, human cost, development expenditure, marketing expenditure, and the like.
For example, in some embodiments, step a301 comprises:
extracting the correlation degree of each operation parameter of an enterprise to which a user belongs and target decision parameter retrieval information (the type of the corresponding decision parameter);
sorting the operation parameters in a descending order according to the correlation;
and extracting the top N operation parameters as reference data according to the sorting result, wherein N is a preset positive integer larger than 1.
Wherein, N can be set according to actual needs, such as 5-10, but is not limited thereto.
In some embodiments, the reference information list is a data table directly recording data values of the respective reference data. Thus, the data value of each reference data is directly displayed in the reference information list in step a302.
When the reference information list is generated, the reference data may be sorted in a descending order according to the degree of correlation of each reference data, that is, in the reference information list, the reference data with the greater degree of correlation is displayed earlier, for example, the information of each item of reference data is displayed from top to bottom in the reference information list, the greater degree of correlation is, and the higher the position is.
Sometimes, the reference data automatically selected by the system may not be all data of interest to the user, and there may be data of no interest to the user (hereinafter referred to as irrelevant data), and the irrelevant data may adversely affect the decision making process of the user; for this reason, in some preferred embodiments, the reference information list is an index table that records indexes of the reference data (for example, the indexes are names, numbers, and the like of the reference data, but not limited thereto);
after step a302, the method further includes:
A303. and generating and displaying a data table according to the indexes selected by the user in the reference information list, wherein the data table is used for displaying the data values of the reference data corresponding to all the selected indexes.
The data concerned by the user is selected by the user, and the specific content is displayed according to the selection result, so that the influence of the irrelevant data on the decision making process of the user can be avoided, and the rationality of the decision making parameters made by the user can be improved.
Further, the reference information list may include a search box, and the search box is used for inputting search information (such as name, number, etc. of the business parameter, but not limited thereto) of the business parameter to be searched, and after step a302, the method further includes: and according to the search information input by the user in the search box, updating the reference information list by taking the corresponding operation parameter as supplementary reference data. Therefore, when the reference data screened by the system does not meet the requirements of the user, the user can quickly obtain the required reference data through searching.
Preferably, after step a303, the method further comprises:
A304. and adjusting the correlation degree of the corresponding reference data and the target decision parameter retrieval information according to the index selected by the user in the reference information list.
Therefore, if the same type of decision parameters are inserted again later, data screening and display can be carried out according to the adjusted relevance, so that the matching of the data screening result and a decision maker (user) is improved, and the displayed reference data is more consistent with the thinking mode of the decision maker.
For example, the correlation is calculated by the following formula:
T=（ax+by）/（a+b） （1）；
wherein, T is the correlation between an operation parameter and target decision parameter retrieval information (type of the corresponding decision parameter), x is a preset basic reference value (obtained by the system according to big data statistics in advance), y is the accumulated value of the number of times that the operation parameter is selected by the user, and a and b are two weighted values (which can be set according to actual needs). Thus, step a304 includes: and adding 1 to the y value of the corresponding reference data according to the selection result of the selected index in the reference information list, then calculating the new correlation according to the formula (1), and updating the correlation of the corresponding reference data according to the calculation result.
The specific correlation adjustment method is not limited thereto.
Preferably, step a4 includes:
A401. acquiring decision parameters input by a user;
A402. retrieving information according to the target decision parameters to obtain reference data of the reference enterprises; the reference enterprise and the enterprise to which the user belongs are the same-industry enterprises (for example, if the enterprise to which the user belongs is an air conditioner production enterprise, the same-industry enterprises are other air conditioner production enterprises except the enterprise to which the user belongs), and the operation parameters of the target decision parameter retrieval information corresponding to the reference enterprise are close to the decision parameters input by the user;
A403. and comparing the reference data of the reference enterprise with the reference data of the enterprise to which the user belongs to evaluate the decision parameters, and displaying the evaluation result.
A decision parameter input box may be displayed for a user to input a decision parameter, and thus step a401 includes: and extracting the decision parameters input by the user from the decision parameter input box.
The business parameter of the target decision parameter retrieval information corresponding to the reference enterprise is close to the decision parameter input by the user, and the deviation between the business parameter of the target decision parameter retrieval information corresponding to the reference enterprise and the decision parameter input by the user is within a preset tolerance range (the tolerance range can be set according to actual needs); for example, the user adjusts the product price, the decision parameter is the adjusted product price, the reference enterprise retrieves the operation parameter of the information corresponding to the target decision parameter, that is, the product price of the reference enterprise, and the business enterprises in the same industry whose deviation between the product price and the product price of the business to which the user belongs is within the preset tolerance range are used as the reference enterprises by comparing the product prices of the business to which the user belongs and the business in the same industry.
The type of the reference data contained in the obtained reference data of the reference enterprise is the same as that of the reference data contained in the reference data of the enterprise to which the user belongs, so that comparison is performed.
The reference data of the enterprise to which the user belongs is compared with the reference data of the reference enterprise to evaluate the decision parameters, so that whether the decision parameters made by the user accord with the law of industry development or not can be judged, and the user can be helped to make the decision parameters more reasonably. Therefore, the displayed evaluation result is referred to by the user to confirm or modify the decision parameter.
The evaluation result may be a qualitative result or a quantitative result, and the qualitative result is, for example: reasonable or unreasonable, quantitative results are for example: a rationality score, but is not so limited.
The decision parameters may be evaluated using an AI algorithm to obtain corresponding evaluation results. Or evaluating the decision parameter in the following way:
step a403 includes:
B1. calculating the comprehensive reference value of each reference enterprise according to the following formula:
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；
wherein the content of the first and second substances,
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is as follows
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The integrated reference value of each reference enterprise,
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is as follows
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1 st to 1 st of a reference enterprise
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The data value of each of the reference data,
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to be the total number of the reference data,
Figure DEST_PATH_IMAGE006
is 1 st to 1 th
Figure 814834DEST_PATH_IMAGE005
The weight of each reference data (which can be set according to implementation needs),
Figure 459442DEST_PATH_IMAGE007
is the reference business quantity;
B2. calculating an average integrated reference value according to the following formula:
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；
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE009
is an average integrated reference value;
B3. calculating the comprehensive reference value of the enterprise to which the user belongs according to the following formula:
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；
wherein the content of the first and second substances,
Figure 952368DEST_PATH_IMAGE011
is the comprehensive reference value of the enterprise to which the user belongs,
Figure 767877DEST_PATH_IMAGE012
from 1 st to 1 st of the enterprise to which the user belongs
Figure 85464DEST_PATH_IMAGE005
A data value of the reference data;
B4. calculating an average integrated reference value
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Integrated reference value with enterprise to which user belongs
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Absolute value deviation therebetween;
B5. and comparing the absolute value deviation with a preset deviation threshold value to judge whether the decision parameter is reasonable or not, or calculating the rationality score of the decision parameter according to the absolute value deviation.
And if the absolute value deviation is greater than the deviation threshold, the decision parameter is judged to be unreasonable, and otherwise, the decision parameter is judged to be reasonable.
For example, the rationality score for a decision parameter may be calculated according to the following formula: q =100-k Δ B, q is 0 if q < 0; wherein q is the rationality score of the decision parameter, Δ B is the absolute value deviation, and k is a preset parameter (which can be set according to actual needs). The method of calculating the rationality score of the decision parameter based on the absolute value deviation is not limited thereto.
In this embodiment, step a5 includes:
A501. sending out inquiry information to confirm the decision parameter;
A502. if the user is detected to adjust the decision parameters, returning to the step A4;
A503. and if a confirmation instruction sent by the user is detected, generating text information for introducing the decision-making parameters, and inserting the text information into the specified position of the PPT file.
For example, a dialog box containing query information for asking the user whether to confirm the decision parameter may be displayed, the dialog box containing a confirm button and a cancel button, the cancel button may be clicked if the user needs to adjust the decision parameter, and then the decision parameter may be changed, and the confirm button may be clicked if the user confirms the decision parameter, thereby generating and transmitting a confirmation instruction.
Text information for introducing the decision parameters can be generated according to a preset format (which can be set according to implementation requirements, and is not limited herein); the user can click at a position where the text information needs to be inserted on the currently displayed PPT page, wherein the clicked position is a designated position, and the text information is inserted into the designated position.
According to the conference PPT automatic generation method, the PPT file is generated according to the template designated by the user, and the PPT file is displayed; when a decision parameter insertion instruction is received, target decision parameter retrieval information input by a user is obtained; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user; retrieving information according to the target decision parameters, and displaying related reference data for a user to refer to so as to make decision parameters; acquiring a decision parameter input by a user, evaluating the decision parameter according to reference data, and displaying an evaluation result; confirming the decision parameters to generate text information for introducing the decision parameters, and inserting the text information into a PPT file; therefore, the method can assist the user to quickly finish the formulation of decision parameters and display the decision parameters in the PPT.
Referring to fig. 2, the present application provides an automatic conference PPT generation apparatus, including:
the first generation module 1 is used for generating a PPT file according to a template specified by a user and displaying the PPT file;
the first acquisition module 2 is used for acquiring target decision parameter retrieval information input by a user when receiving a decision parameter insertion instruction; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user;
the first display module 3 is used for retrieving information according to the target decision parameter and displaying related reference data for a user to refer to so as to make a decision parameter;
the evaluation module 4 is used for acquiring the decision parameters input by the user, evaluating the decision parameters according to the reference data and displaying the evaluation result;
and the second generating module 5 is configured to perform a confirmation operation on the decision parameter to generate text information for introducing the decision parameter, and insert the text information into the PPT file.
After the PPT file is generated according to the template designated by the user, if the user needs to insert the decision parameters into the PPT file, the related reference data is displayed according to the specific types of the decision parameters which need to be inserted by the user, so that the user can make specific decision parameters according to the reference data, the user does not need to call various related data for analysis, the efficiency of making the decision parameters by the user is improved, and meanwhile, the reasonability of the decision parameters made by the user is improved by evaluating the decision parameters made by the user.
The conference PPT automatic generation device can be applied to a cloud platform or a server inside an enterprise to provide a service for generating PPT files. The user accesses the cloud platform or the server through a user terminal (such as a PC, a mobile phone, a tablet computer, but not limited thereto) to perform the generation operation of the PPT file.
The generation of the PPT file according to the template specified by the user can be implemented according to any method in the prior art, which is not limited herein.
In some embodiments, the first obtaining module 2 is configured to, when receiving the decision parameter insertion instruction, obtain target decision parameter retrieval information input by a user, and specifically includes:
when a decision parameter insertion instruction is received, popping up a retrieval box for a user to input target decision parameter retrieval information;
and extracting target decision parameter retrieval information input into the retrieval box by a user.
When the user triggers the decision parameter insertion button, the user terminal generates and sends a decision parameter insertion instruction.
The target decision parameter retrieval information generally includes information about the type of decision parameter to be inserted, such as, but not limited to, sales, labor cost, product price, development cost, product yield, marketing cost, etc. After the user inputs the target decision parameter retrieval information, the type information of the decision parameter to be inserted by the user can be identified through a keyword identification method to obtain a plurality of identification results with high possibility, an option list is generated and displayed according to the identification results for the user to select, and finally the target decision parameter retrieval information in the retrieval frame is adjusted according to the selection results of the user.
Preferably, the first display module 3 is configured to, when retrieving information according to the objective decision parameter and displaying relevant reference data for the user to refer to make the decision parameter, perform:
searching information according to the target decision parameter, traversing various operation parameters (such as sales, human cost, product price, development expense, product yield, marketing expense and the like, but not limited to the above) of the enterprise to which the user belongs in a database to extract a plurality of operation parameters with high correlation with the target decision parameter searching information as reference data;
and generating a reference information list according to the reference data, and displaying the reference information list.
The operation parameters of the enterprise to which the user belongs are collected and uploaded by an operation management system of the enterprise in advance so as to be recorded in a database. By screening multiple operation parameters with high correlation as reference data for users to refer to, the decision efficiency of the users is prevented from being influenced by excessive displayed reference data, and meanwhile, the decision parameters made by the users can be guaranteed to have sufficient basis, so that the rationality of the decision parameters made by the users is guaranteed.
The fact that the correlation between the operational parameters and the target decision parameter search information is high means that the correlation between the operational parameters and the target decision parameter search information is high compared with other operational parameters. In order to represent the correlation between each operation parameter and the target decision parameter retrieval information, the correlation between each operation parameter and the target decision parameter retrieval information (the type of the corresponding decision parameter) may be generated in advance, and the reference data may be screened according to the correlation. The correlation degree can be defined by the user, or preset by the system according to the industry attribute of the enterprise to which the user belongs.
For example, if the user wants to adjust the product price, the decision parameter to be made is the adjusted product price, and the reference data may include, but is not limited to, human cost, development expenditure, marketing expenditure, and the like.
For example, in some embodiments, the first display module 3 performs, when retrieving information according to the objective decision parameter, traversing the business parameters of the enterprise to which the user belongs in the database to extract, as reference data, a plurality of business parameters having higher correlation with the objective decision parameter retrieval information:
extracting the correlation degree of each operation parameter of an enterprise to which a user belongs and target decision parameter retrieval information (the type of the corresponding decision parameter);
sorting the operation parameters in descending order according to the correlation;
and extracting the top N operation parameters as reference data according to the sorting result, wherein N is a preset positive integer larger than 1.
Wherein, N can be set according to actual needs, such as 5-10, but is not limited thereto.
In some embodiments, the reference information list is a data table directly recording data values of the respective reference data. Thus, the first display module 3 directly displays the data value of each reference data in the reference information list.
When the reference information list is generated, the reference data may be sorted in a descending order according to the degree of correlation of each reference data, that is, in the reference information list, the reference data with the greater degree of correlation is displayed earlier, for example, the information of each item of reference data is displayed from top to bottom in the reference information list, the greater degree of correlation is, and the higher the position is.
Sometimes, the reference data automatically selected by the system may not be all data of interest to the user, and there may be data of no interest to the user (hereinafter referred to as irrelevant data), and the irrelevant data may adversely affect the decision making process of the user; for this reason, in some preferred embodiments, the reference information list is an index table that records indexes of the reference data (for example, the indexes are names, numbers, and the like of the reference data, but not limited thereto);
the first display module 3, after generating the reference information list according to the reference data and displaying the reference information list, further performs:
and generating and displaying a data table according to the indexes selected by the user in the reference information list, wherein the data table is used for displaying the data values of the reference data corresponding to all the selected indexes.
The data concerned by the user is selected by the user, and the specific content is displayed according to the selection result, so that the influence of the irrelevant data on the decision making process of the user can be avoided, and the rationality of the decision making parameters made by the user can be improved.
Further, the reference information list may include a search box for inputting search information (such as, but not limited to, name, number, etc. of the business parameter) of the business parameter to be searched, and the first display module 3 further performs, after generating the reference information list according to the reference data and displaying the reference information list: and according to the search information input by the user in the search box, updating the reference information list by taking the corresponding operation parameter as supplementary reference data. Therefore, when the reference data screened by the system does not meet the requirements of the user, the user can quickly obtain the required reference data through searching.
Preferably, the first display module 3 further performs, after generating and displaying the data table according to the index selected by the user in the reference information list:
and adjusting the correlation degree of the corresponding reference data and the target decision parameter retrieval information according to the index selected by the user in the reference information list.
Therefore, if the same type of decision parameters are inserted again later, data screening and display can be carried out according to the adjusted relevance, so that the matching of the data screening result and a decision maker (user) is improved, and the displayed reference data is more consistent with the thinking mode of the decision maker.
For example, the correlation is calculated by the following formula:
T=（ax+by）/（a+b） （1）；
wherein, T is the correlation between an operation parameter and target decision parameter retrieval information (type of the corresponding decision parameter), x is a preset basic reference value (obtained by the system according to big data statistics in advance), y is the accumulated value of the number of times that the operation parameter is selected by the user, and a and b are two weighted values (which can be set according to actual needs). Thus, when the first display module 3 adjusts the correlation between the corresponding reference data and the target decision parameter retrieval information according to the index selected by the user in the reference information list, the following steps are performed: and adding 1 to the y value of the corresponding reference data according to the selection result of the selected index in the reference information list, then calculating the new correlation according to the formula (1), and updating the correlation of the corresponding reference data according to the calculation result.
The specific correlation adjustment method is not limited thereto.
Preferably, the evaluation module 4 is configured to, when obtaining a decision parameter input by a user, evaluating the decision parameter according to reference data, and displaying an evaluation result, execute:
acquiring a decision parameter input by a user;
retrieving information according to the target decision parameters to obtain reference data of a reference enterprise; the reference enterprise and the enterprise to which the user belongs are the same-industry enterprises (for example, if the enterprise to which the user belongs is an air conditioner production enterprise, the same-industry enterprises are other air conditioner production enterprises except the enterprise to which the user belongs), and the operating parameters of the target decision parameter retrieval information corresponding to the reference enterprise are close to the decision parameters input by the user;
and comparing the reference data of the reference enterprise with the reference data of the enterprise to which the user belongs to evaluate the decision parameters, and displaying the evaluation result.
A decision parameter input box can be displayed for the user to input the decision parameter, so that the evaluation module 4 executes the following steps when acquiring the decision parameter input by the user: and extracting the decision parameters input by the user from the decision parameter input box.
The business parameter of the target decision parameter retrieval information corresponding to the reference enterprise is close to the decision parameter input by the user, and the deviation between the business parameter of the target decision parameter retrieval information corresponding to the reference enterprise and the decision parameter input by the user is within a preset tolerance range (the tolerance range can be set according to actual needs); for example, the user adjusts the product price, the decision parameter is the adjusted product price, the reference enterprise retrieves the operation parameter of the information corresponding to the target decision parameter, that is, the product price of the reference enterprise, and the business enterprises in the same industry whose deviation between the product price and the product price of the business to which the user belongs is within the preset tolerance range are used as the reference enterprises by comparing the product prices of the business to which the user belongs and the business in the same industry.
The type of the reference data contained in the obtained reference data of the reference enterprise is the same as that of the reference data contained in the reference data of the enterprise to which the user belongs, so that comparison can be carried out conveniently.
The reference data of the enterprise to which the user belongs is compared with the reference data of the reference enterprise to evaluate the decision parameters, so that whether the decision parameters made by the user accord with the law of industry development or not can be judged, and the user can be helped to make the decision parameters more reasonably. Therefore, the displayed evaluation result is referred to by the user to confirm or modify the decision parameter.
The evaluation result may be a qualitative result or a quantitative result, and the qualitative result is, for example: reasonable or unreasonable, quantitative results are for example: a rationality score, but is not so limited.
The decision parameters may be evaluated using an AI algorithm to obtain corresponding evaluation results. Or evaluating the decision parameter in the following way:
the evaluation module 4, when comparing the reference data of the reference enterprise with the reference data of the enterprise to which the user belongs to evaluate the decision parameter and display the evaluation result, executes:
calculating the comprehensive reference value of each reference enterprise according to the following formula:
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；
wherein the content of the first and second substances,
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is as follows
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The integrated reference value of each reference enterprise,
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is as follows
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1 st to 1 st of a reference enterprise
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The data value of the individual reference data,
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to be the total number of the reference data,
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is 1 st to 1 th
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The weight of each reference data (which can be set according to implementation needs),
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is the reference business quantity;
calculating an average integrated reference value according to the following formula:
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；
wherein the content of the first and second substances,
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is an average integrated reference value;
calculating the comprehensive reference value of the enterprise to which the user belongs according to the following formula:
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；
wherein the content of the first and second substances,
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is a comprehensive reference value of the enterprise to which the user belongs,
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from 1 st to 1 st of the enterprise to which the user belongs
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A data value of the reference data;
calculating an average integrated reference value
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Integrated reference value with enterprise to which user belongs
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Absolute value deviation therebetween;
and comparing the absolute value deviation with a preset deviation threshold to judge whether the decision-making parameter is reasonable or not, or calculating the rationality score of the decision-making parameter according to the absolute value deviation.
And if the absolute value deviation is greater than the deviation threshold, judging that the decision parameter is unreasonable, otherwise, judging that the decision parameter is reasonable.
For example, the rationality score for a decision parameter may be calculated according to the following formula: q =100-k Δ B, q is 0 if q < 0; wherein q is the rationality score of the decision parameter, Δ B is the absolute value deviation, and k is a preset parameter (which can be set according to actual needs). The method of calculating the rationality score of the decision parameter based on the absolute value deviation is not limited thereto.
In this embodiment, the second generating module 5 is configured to, when performing a confirmation operation on the decision parameter to generate text information for introducing the decision parameter, and inserting the text information into the PPT file, perform:
sending out inquiry information to confirm the decision parameter;
if the decision parameters are detected to be adjusted by the user, the evaluation module 4 is made to evaluate the adjusted decision parameters again;
and if a confirmation instruction sent by the user is detected, generating text information for introducing the decision-making parameters, and inserting the text information into the specified position of the PPT file.
For example, a dialog box containing query information for asking the user whether to confirm the decision parameter may be displayed, the dialog box containing a confirm button and a cancel button, the cancel button may be clicked if the user needs to adjust the decision parameter, and then the decision parameter may be changed, and the confirm button may be clicked if the user confirms the decision parameter, thereby generating and transmitting a confirmation instruction.
Text information for introducing the decision parameters can be generated according to a preset format (which can be set according to implementation requirements, and is not limited herein); the user can click at a position where the text information needs to be inserted on the currently displayed PPT page, wherein the clicked position is a designated position, and the text information is inserted into the designated position.
As can be seen from the above, the conference PPT automatic generation device generates the PPT file according to the template specified by the user, and displays the PPT file; when a decision parameter insertion instruction is received, target decision parameter retrieval information input by a user is obtained; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user; retrieving information according to the target decision parameters, and displaying related reference data for a user to refer to so as to make decision parameters; acquiring a decision parameter input by a user, evaluating the decision parameter according to reference data, and displaying an evaluation result; confirming the decision parameters to generate text information for introducing the decision parameters, and inserting the text information into a PPT file; therefore, the method can assist the user to quickly finish the formulation of decision parameters and display the decision parameters in the PPT.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, where the present disclosure provides an electronic device, including: the processor 301 and the memory 302, the processor 301 and the memory 302 are interconnected and communicate with each other through the communication bus 303 and/or other types of connection mechanisms (not shown), the memory 302 stores a computer program executable by the processor 301, and when the electronic device runs, the processor 301 executes the computer program to execute the conference PPT automatic generation method in any one of the alternative implementations of the above embodiments to implement the following functions: generating a PPT file according to a template specified by a user, and displaying the PPT file; when a decision parameter insertion instruction is received, target decision parameter retrieval information input by a user is obtained; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user; retrieving information according to the target decision parameters, and displaying related reference data for a user to refer to so as to make decision parameters; acquiring a decision parameter input by a user, evaluating the decision parameter according to reference data, and displaying an evaluation result; and confirming the decision parameters to generate text information for introducing the decision parameters, and inserting the text information into the PPT file.
The embodiment of the present application provides a storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method for automatically generating a conference PPT in any optional implementation manner of the foregoing embodiment is executed, so as to implement the following functions: generating a PPT file according to a template specified by a user, and displaying the PPT file; when a decision parameter insertion instruction is received, target decision parameter retrieval information input by a user is obtained; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user; retrieving information according to the target decision parameters, and displaying related reference data for a user to refer to so as to make decision parameters; acquiring a decision parameter input by a user, evaluating the decision parameter according to reference data, and displaying an evaluation result; and confirming the decision parameters to generate text information for introducing the decision parameters, and inserting the text information into the PPT file. The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (10)

1. A conference PPT automatic generation method is characterized by comprising the following steps:
A1. generating a PPT file according to a template designated by a user, and displaying the PPT file;
A2. when a decision parameter insertion instruction is received, target decision parameter retrieval information input by a user is obtained; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user;
A3. retrieving information according to the target decision parameters, and displaying related reference data for a user to refer to so as to make decision parameters;
A4. acquiring a decision parameter input by a user, evaluating the decision parameter according to the reference data, and displaying an evaluation result;
A5. and confirming the decision parameters to generate text information for introducing the decision parameters, and inserting the text information into the PPT file.
2. The conference PPT automatic generation method according to claim 1, wherein step a3 comprises:
A301. according to the target decision parameter retrieval information, traversing each operating parameter of an enterprise to which the user belongs in a database to extract a plurality of operating parameters with higher correlation with the target decision parameter retrieval information as reference data;
A302. and generating a reference information list according to the reference data, and displaying the reference information list.
3. The conference PPT automatic generation method according to claim 2, wherein step a301 comprises:
extracting the correlation degree of each operation parameter of the enterprise to which the user belongs and the target decision parameter retrieval information;
sorting the operation parameters in a descending order according to the correlation;
and extracting the top N operation parameters as the reference data according to the sorting result, wherein N is a preset positive integer larger than 1.
4. The conference PPT automatic generation method according to claim 2, wherein the reference information list is an index table recording indexes of respective items of reference data;
after step a302, the method further includes:
A303. and generating and displaying a data table according to the indexes selected by the user in the reference information list, wherein the data table is used for displaying the data values of the reference data corresponding to all the selected indexes.
5. The method for automatically generating the conference PPT according to claim 4, wherein after step a303, the method further comprises:
A304. and adjusting the correlation degree of the corresponding reference data and the target decision parameter retrieval information according to the index selected by the user in the reference information list.
6. The conference PPT automatic generation method according to claim 2, wherein step a4 comprises:
A401. acquiring a decision parameter input by the user;
A402. retrieving information according to the target decision parameter to obtain the reference data of a reference enterprise; the reference enterprise and the enterprise to which the user belongs are the same-industry enterprises, and the deviation between the operation parameter of the reference enterprise corresponding to the target decision parameter retrieval information and the decision parameter input by the user is within a preset tolerance range; the type of the reference data contained in the obtained reference data of the reference enterprise is the same as that of the reference data contained in the reference data of the enterprise to which the user belongs;
A403. and comparing the reference data of the reference enterprise with the reference data of the enterprise to which the user belongs to evaluate the decision-making parameters, and displaying an evaluation result.
7. The conference PPT automatic generation method according to claim 1, wherein step a5 comprises:
A501. sending out inquiry information to confirm the decision parameters;
A502. if the user is detected to adjust the decision parameter, returning to step A4;
A503. and if the confirmation instruction sent by the user is detected, generating text information for introducing the decision parameter, and inserting the text information into the specified position of the PPT file.
8. An automatic conference PPT generation device is characterized by comprising:
the first generation module is used for generating a PPT file according to a template specified by a user and displaying the PPT file;
the first acquisition module is used for acquiring target decision parameter retrieval information input by a user when a decision parameter insertion instruction is received; the target decision parameter retrieval information is used for indicating the type of the decision parameter which needs to be inserted by the user;
the first display module is used for retrieving information according to the target decision parameter and displaying related reference data for a user to refer to so as to make a decision parameter;
the evaluation module is used for acquiring decision parameters input by a user, evaluating the decision parameters according to the reference data and displaying evaluation results;
and the second generation module is used for performing confirmation operation on the decision parameters to generate text information for introducing the decision parameters and inserting the text information into the PPT file.
9. An electronic device, comprising a processor and a memory, wherein the memory stores a computer program executable by the processor, and the processor executes the computer program to perform the steps of the conference PPT automatic generation method according to any one of claims 1 to 7.
10. A storage medium having stored thereon a computer program, wherein the computer program, when being executed by a processor, performs the steps of the method for automatically generating a conference PPT according to any one of claims 1-7.
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Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102169483A (en) * 2011-04-25 2011-08-31 江西省电力公司信息通信中心 Filmstrip automatic generation method based on electronic spreadsheet
CN105701216A (en) * 2016-01-13 2016-06-22 北京三快在线科技有限公司 Information pushing method and device
US9535892B1 (en) * 2013-04-30 2017-01-03 Intuit Inc. Method and system for generating unique content based on business entity information received from a user
CN107741971A (en) * 2017-10-10 2018-02-27 国网浙江省电力公司电力科学研究院 A kind of method of the online visual analysis PPT based on self-defined dynamic data
US20180247204A1 (en) * 2017-02-24 2018-08-30 CSE Partner LLC Platform for decision making, data management, analysis, and evaluation
CN108509405A (en) * 2018-04-11 2018-09-07 北京深度智耀科技有限公司 A kind of generation method of PowerPoint, device and equipment
CN109508352A (en) * 2018-11-16 2019-03-22 苏州好玩友网络科技有限公司 A kind of output method of report data, device, equipment and storage medium
CN109800912A (en) * 2019-01-12 2019-05-24 龙马智芯（珠海横琴）科技有限公司 Information determines method and device
US20190171748A1 (en) * 2017-12-04 2019-06-06 Palantir Technologies Inc. Query-based time-series data display and processing system
US20190340516A1 (en) * 2017-05-06 2019-11-07 Excubator Consulting Pvt Ltd System and method for quantitatively analyzing an idea
CN111613312A (en) * 2019-02-26 2020-09-01 北京绪水互联科技有限公司 Equipment operation condition comparison analysis method and device
JP2021086400A (en) * 2019-11-28 2021-06-03 株式会社Pfu Information processing device, instruction statement data producing method and program

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102169483A (en) * 2011-04-25 2011-08-31 江西省电力公司信息通信中心 Filmstrip automatic generation method based on electronic spreadsheet
US9535892B1 (en) * 2013-04-30 2017-01-03 Intuit Inc. Method and system for generating unique content based on business entity information received from a user
CN105701216A (en) * 2016-01-13 2016-06-22 北京三快在线科技有限公司 Information pushing method and device
US20180247204A1 (en) * 2017-02-24 2018-08-30 CSE Partner LLC Platform for decision making, data management, analysis, and evaluation
US20190340516A1 (en) * 2017-05-06 2019-11-07 Excubator Consulting Pvt Ltd System and method for quantitatively analyzing an idea
CN107741971A (en) * 2017-10-10 2018-02-27 国网浙江省电力公司电力科学研究院 A kind of method of the online visual analysis PPT based on self-defined dynamic data
US20190171748A1 (en) * 2017-12-04 2019-06-06 Palantir Technologies Inc. Query-based time-series data display and processing system
CN108509405A (en) * 2018-04-11 2018-09-07 北京深度智耀科技有限公司 A kind of generation method of PowerPoint, device and equipment
CN109508352A (en) * 2018-11-16 2019-03-22 苏州好玩友网络科技有限公司 A kind of output method of report data, device, equipment and storage medium
CN109800912A (en) * 2019-01-12 2019-05-24 龙马智芯（珠海横琴）科技有限公司 Information determines method and device
CN111613312A (en) * 2019-02-26 2020-09-01 北京绪水互联科技有限公司 Equipment operation condition comparison analysis method and device
JP2021086400A (en) * 2019-11-28 2021-06-03 株式会社Pfu Information processing device, instruction statement data producing method and program

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