CN111815296B - Intelligent auditing method for third-party service system - Google Patents
Intelligent auditing method for third-party service system Download PDFInfo
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- CN111815296B CN111815296B CN202010716605.6A CN202010716605A CN111815296B CN 111815296 B CN111815296 B CN 111815296B CN 202010716605 A CN202010716605 A CN 202010716605A CN 111815296 B CN111815296 B CN 111815296B
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- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000012550 audit Methods 0.000 claims abstract description 54
- 230000006870 function Effects 0.000 claims description 12
- 238000002372 labelling Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 4
- 230000001502 supplementing effect Effects 0.000 claims 1
- 238000007726 management method Methods 0.000 abstract description 7
- 239000013589 supplement Substances 0.000 abstract description 3
- 238000012946 outsourcing Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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- 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
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- 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
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- 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
Abstract
The invention provides an intelligent auditing method facing a third-party service system, which comprises the following steps: s1, the auditor opens the third party service system through the intelligent audit browser and logs in the work account; s2, an auditor opens the work order, and the intelligent audit browser performs AI auxiliary annotation on the content of the current work order through AI capability; and S3, the auditor checks the contents with problems hit in the work order by clicking and positioning, confirms, modifies and supplements the content of the work order subjected to AI auxiliary annotation, and submits the work order subjected to annotation. The intelligent auditing method facing the third-party service system provided by the invention eliminates advertisement interference, avoids the distraction of auditors, reduces the auditing error rate, provides AI auxiliary auditing capability, greatly improves the auditing efficiency of the auditors, solves the auditing management problem of the auditors in the third-party service system by binding the working account numbers of employees, saves a large amount of manpower resources and reduces the auditing cost.
Description
Technical Field
The invention relates to the technical field of software information, in particular to an intelligent auditing method for a third-party service system.
Background
With the enhancement of the content audit supervision, the content platform outsources the content audit service due to the cost pressure besides the internal audit. In order to ensure the security of outsourced content, a content platform mostly establishes a content service system, and an auditor of an outsourced company logs in the service system to audit the content.
Currently, an auditor logs in a third-party service system to carry out content audit service through a commercially available browser such as google, IE and 360, and the following problems exist: the browser is provided with advertisements, messages and the like to interfere the audit operation of an auditor, so that audit errors are easily caused, manual audit can be performed only, AI assistance cannot be used, the audit efficiency is low, and the outsourcing company cannot acquire statistical data of the auditor in management due to the fact that a service system is provided by a third party.
Disclosure of Invention
The invention provides an intelligent auditing method facing a third-party service system, and aims to solve the problems that the traditional browser with advertisements and messages interferes the auditing operation of an auditor, the auditing is easy to cause auditing errors, only manual auditing can be carried out, AI assistance cannot be used, the auditing efficiency is low, the service system is provided by a third party, and an outsourcing company cannot acquire statistical data of the auditor in management.
In order to achieve the above object, an embodiment of the present invention provides an intelligent audit browser for a third-party service system, including:
the employee personal panel is used for displaying employee information and comprises an employee basic information module, a recent login information module, an audit statistical data module and a performance data module;
the system comprises a business knowledge base panel, a function knowledge base module and a function operation instruction module, wherein the business knowledge base panel is used for displaying business knowledge content, and learning and inquiring business knowledge by staff;
the telephone call operation panel is used for telephone call and comprises a sign-in module, a sign-out module, a busy-showing module, a free-showing module, a response module, a dial-out module, a hang-up module and an incoming call recording module;
the content intelligent auditing panel is used for setting content auditing types and adjusting labeling levels;
and the data marking panel is used for manually marking the content of the work order and providing a marking tool.
The embodiment of the invention also provides an intelligent auditing method facing the third-party service system, which comprises the following steps:
s1, the auditor opens the third party service system through the intelligent audit browser and logs in the work account;
s2, an auditor opens the work order, and the intelligent audit browser performs AI auxiliary annotation on the content of the current work order through AI capability;
and S3, the auditor checks the contents with problems hit in the work order by clicking and positioning, confirms, modifies and supplements the content of the work order subjected to AI auxiliary annotation, and submits the work order subjected to annotation.
Wherein, the S1 specifically includes:
and the intelligent audit browser binds the employee ID through the work account number logged in by the employee and displays the employee information and the audit statistical data on the employee personal panel.
Wherein, the S2 specifically includes:
and after the work order is opened by an auditor, the intelligent audit browser finishes the acquisition work of the audit employee order data and the work data in a silent mode, labels the current work order content through AI capacity, and carries out red, yellow and green three-color grading identification on the problematic content in the work order.
Wherein, the S3 specifically includes:
the auditor confirms the correct content of the AI auxiliary label, cancels the wrong content of the AI auxiliary label, manually labels the unmarked content of the AI auxiliary label through the data label panel, calls the operation panel through a telephone to carry out outbound operation, and inquires and confirms the content to be confirmed through the service knowledge base panel and the content intelligent audit panel.
Wherein the S3 further includes:
after the auditor submits the marked work order, the intelligent audit browser saves the marked content confirmed by the auditor, converts the marked content confirmed by the auditor into AI learning data for optimizing an AI algorithm, and uses the optimized AI algorithm for auditing a subsequent work order.
The scheme of the invention has the following beneficial effects:
according to the intelligent auditing method for the third-party service system, disclosed by the embodiment of the invention, the advertisement interference is eliminated, the distraction of an auditor is avoided, the auditing error rate is reduced, the AI auxiliary auditing capability is provided, the auditing efficiency of the auditor is greatly improved, the management problem of auditing of the auditor in the third-party service system is solved by binding the working account number of the employee, a large amount of manpower resources are saved, and the auditing cost is reduced.
Drawings
FIG. 1 is a flow chart of the present invention;
fig. 2 is a schematic structural diagram of the present invention.
[ description of reference ]
1-staff personal panel; 2-business knowledge base panel; 3-a phone call operations panel; 4-content intelligent audit panel; 5-data annotation panel.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The invention provides an intelligent auditing method facing a third-party service system, aiming at the problems that the existing browser is provided with advertisements and information to interfere the auditing operation of an auditor, the auditing is easy to cause errors, only manual auditing can be carried out, AI assistance cannot be used, the auditing efficiency is low, the service system is provided by a third party, and an outsourcing company cannot acquire the statistical data of the auditor in management.
As shown in fig. 1 to fig. 2, an embodiment of the present invention provides an intelligent audit browser for a third-party service system, including: the employee personal panel 1 is used for displaying employee information, and the employee personal panel 1 comprises an employee basic information module, a latest login information module, an audit statistical data module and a performance data module; the business knowledge base panel 2 is used for displaying business knowledge content, learning employees and inquiring business knowledge, and the business knowledge base panel 2 comprises a business knowledge notification reporting module, an auditing skill module and a function use description module; the phone call operation panel 3 is used for phone call, and the phone call operation panel 3 comprises a sign-in module, a sign-out module, a busy-indicating module, a free-indicating module, a response module, a dial-out module, a hang-up module and an incoming call recording module; the content intelligent auditing panel 4 is used for setting the content auditing type and adjusting the labeling level; and the data marking panel 5 is used for manually marking the content of the work order and providing a marking tool.
According to the intelligent auditing method for the third-party service system, disclosed by the embodiment of the invention, an intelligent auditing browser is developed based on a CEF kernel, and provides an auditing commonly used function panel, wherein the auditing commonly used function panel comprises an employee personal panel 1, a service knowledge base panel 2, a telephone call operation panel 3, a content intelligent auditing panel 4 and a data marking panel 5, the employee personal panel 1 is used for displaying employee information, and the auditing commonly used function panel comprises an employee basic information module, a recently logged-in information module, an auditing statistical data module, a performance data module and the like; the business knowledge base panel 2 is used for displaying business knowledge content, and is used for staff to learn and inquire business knowledge, and comprises a business knowledge notification reporting module, an auditing skill module, a function use description module and the like; the telephone calling panel is used for telephone calling and comprises a sign-in module, a sign-out module, a busy-indicating module, a free-indicating module, a response module, a dial-out module, a hang-up module, an incoming call recording module and the like; the content intelligent audit panel 4 is used for setting functional settings such as content audit types, annotation level adjustment and the like; and the data marking panel 5 provides a marking tool for manually marking the content of the work order.
The embodiment of the invention also provides an intelligent auditing method facing the third-party service system, which comprises the following steps: s1, the auditor opens the third party service system through the intelligent audit browser and logs in the work account; s2, an auditor opens the work order, and the intelligent audit browser performs AI auxiliary annotation on the content of the current work order through AI capability; and S3, the auditor checks the contents with problems hit in the work order by clicking and positioning, confirms, modifies and supplements the content of the work order subjected to AI auxiliary annotation, and submits the work order subjected to annotation.
Wherein, the S1 specifically includes: the intelligent audit browser binds the employee ID through the work account number logged in by the employee, and displays the employee information and the audit statistical data on the employee personal panel 1.
According to the intelligent auditing method for the third-party service system, an auditor opens the third-party service system through an intelligent auditing browser and logs in a work account of the auditor, the intelligent auditing browser binds an employee ID through the work account and displays employee information and auditing statistical data on the employee personal panel 1, and the auditor can view and edit personal basic information including nicknames, personal photos, addresses, signatures, contract information and post information by using the basic information function of the employee personal panel 1; the auditing statistical data module of the personnel panel 1 of the staff can be used for checking the information of order dispatching quantity, completion quantity, average processing time length, QC rate and the like of the order; the performance function module of the staff personal panel 1 can be used for checking the performance data of the previous month and the current month, the staff personal panel 1 enables the staff to manage personal information in a third party auditing system and checks auditing statistical data and performance data in real time, the working enthusiasm of the staff is improved, and the defects of the function modules of staff information, auditing statistics and the like in the third party auditing system are made up.
Wherein, the S2 specifically includes: and after the work order is opened by an auditor, the intelligent audit browser finishes the acquisition work of the audit employee order data and the work data in a silent mode, labels the current work order content through AI capacity, and carries out red, yellow and green three-color grading identification on the problematic content in the work order.
According to the intelligent auditing method for the third-party service system, an auditor opens a work order, an intelligent auditing browser completes the acquisition work of auditing the employee order data and the work data in a silent mode, the auditor sets the work order data acquisition and the work data acquisition on the content intelligent auditing panel 4, and after the auditor sets parameters such as work order data acquisition period, minimum inventory and the like, and clicks the storage setting, the intelligent auditing browser completes the work order data acquisition work in a background silent mode; after the auditor sets the working data acquisition period and clicks and stores, the intelligent audit browser can regularly carry out data statistics collection and refresh the statistics report and the performance report; when the intelligent audit browser carries out AI auxiliary labeling, AI auxiliary audit parameters of corresponding services need to be configured in the content intelligent audit panel 4 through an AI auxiliary function module of the content intelligent audit panel 4 according to the content audit types including article audit, text audit, account number classification and other service types, AI auxiliary audit default parameters are uniformly configured by a management end, an auditor can adjust partial non-key parameters and can enable and disable AI auxiliary settings in the panel, the intelligent audit browser labels the current work order content through AI capacity, and the hit work order with problematic content is subjected to red, yellow and green three-color classification identification.
Wherein, the S3 specifically includes: the auditor confirms the correct content of the AI auxiliary label, cancels the wrong content of the AI auxiliary label, manually labels the unmarked content of the AI auxiliary label through the data label panel 5, calls the operation panel 3 through a telephone to carry out outbound operation, and inquires and confirms the content to be confirmed through the service knowledge base panel 2 and the content intelligent audit panel 4.
According to the intelligent auditing method for the third-party service system, an auditor checks contents with problems hit in a work order by clicking positioning, confirms correct contents of AI auxiliary labels, cancels wrong contents of the AI auxiliary labels, manually labels the contents of the AI auxiliary labels through the data label panel 5, calls the operation panel 3 to perform outbound operation when the auditor needs the outbound operation, and sets corresponding working states through sign-in, sign-out, idle display, busy display, hanging up and the like of the panel; and the auditor inquires through the business knowledge base panel 2 and the intelligent content audit panel 4 to confirm the content of the work order. The auditor opens the business knowledge base panel 2, retrieves the newly issued auditing standard, auditing specification and auditing case according to the business type, label classification and keywords, and quickly solves the suspicious work order in the auditing; the auditor opens the intelligent content auditing panel 4, sets AI auxiliary parameters such as content auditing types and labeling levels, and improves the AI auxiliary auditing speed and precision.
Wherein the S3 further includes: after the auditor submits the marked work order, the intelligent audit browser saves the marked content confirmed by the auditor, converts the marked content confirmed by the auditor into AI learning data for optimizing an AI algorithm, and uses the optimized AI algorithm for auditing a subsequent work order.
According to the third-party service system-oriented intelligent auditing method disclosed by the embodiment of the invention, the auditor submits the work order, the intelligent auditing browser stores the labeled content confirmed by the auditor, converts the labeled content into AI learning data for optimizing the AI algorithm, and uses the optimized AI algorithm for auditing the subsequent work order.
According to the intelligent auditing method for the third-party service system, disclosed by the embodiment of the invention, the intelligent auditing browser uses a dual-core strategy, namely a CEF core and an IE core, so that the problem of compatibility is solved, the problem of low starting speed and low webpage opening speed are solved by synchronously updating the core to the latest version and setting a default cache, and the problem of CEF memory overflow error is solved by setting single _ process as false for using a multi-process mode during CEF initialization.
The intelligent auditing method for the third-party service system in the embodiment of the invention eliminates advertisement interference, avoids distraction of auditors, helps the auditors to automatically claim the labeling task under the condition of conformity, counts the auditing single amount of the employees in real time, and recommends the article classification label through AI ability silence, thereby improving the auditing efficiency of the auditors, reducing the auditing error rate, solving the management problem of auditing of the auditors in the third-party service system through binding of the work account number, saving a large amount of human resources, and reducing the auditing cost.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (4)
1. An intelligent auditing method facing a third-party service system is applied to an intelligent auditing browser facing the third-party service system, and is characterized in that the intelligent auditing browser comprises:
the employee personal panel is used for displaying employee information and comprises an employee basic information module, a recent login information module, an audit statistical data module and a performance data module;
the system comprises a business knowledge base panel, a function knowledge base module and a function operation instruction module, wherein the business knowledge base panel is used for displaying business knowledge content, and learning and inquiring business knowledge by staff;
the telephone call operation panel is used for telephone call and comprises a sign-in module, a sign-out module, a busy-showing module, a free-showing module, a response module, a dial-out module, a hang-up module and an incoming call recording module;
the content intelligent auditing panel is used for setting content auditing types and adjusting labeling levels;
the data marking panel is used for manually marking the content of the work order and providing a marking tool;
the intelligent auditing method facing the third-party service system comprises the following steps:
s1, the auditor opens the third party service system through the intelligent audit browser and logs in the work account;
s2, an auditor opens the work order, and the intelligent audit browser performs AI auxiliary annotation on the content of the current work order through AI capability;
s3, the auditor checks the contents with problems hit in the work order by clicking, positioning, confirming, modifying and supplementing the contents of the work order subjected to AI auxiliary annotation, and submitting the work order subjected to annotation;
the S1 specifically includes:
and the intelligent audit browser binds the employee ID through the work account number logged in by the employee and displays the employee information and the audit statistical data on the employee personal panel.
2. The intelligent auditing method for a third-party service system according to claim 1, where S2 specifically includes:
and after the work order is opened by an auditor, the intelligent audit browser finishes the acquisition work of the audit employee order data and the work data in a silent mode, labels the current work order content through AI capacity, and carries out red, yellow and green three-color grading identification on the problematic content in the work order.
3. The intelligent auditing method for a third-party service system according to claim 2, where S3 specifically includes:
the auditor confirms the correct content of the AI auxiliary label, cancels the wrong content of the AI auxiliary label, manually labels the unmarked content of the AI auxiliary label through the data label panel, calls the operation panel through a telephone to carry out outbound operation, and inquires and confirms the content to be confirmed through the service knowledge base panel and the content intelligent audit panel.
4. The intelligent auditing method for third-party service systems according to claim 3, where the S3 further includes:
after the auditor submits the marked work order, the intelligent audit browser saves the marked content confirmed by the auditor, converts the marked content confirmed by the auditor into AI learning data for optimizing an AI algorithm, and uses the optimized AI algorithm for auditing a subsequent work order.
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