CN108629555B - Back tone method, device and system for history cross validation and storage medium thereof - Google Patents
Back tone method, device and system for history cross validation and storage medium thereof Download PDFInfo
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Abstract
A backtone method, device, system and computer readable storage medium of history cross validation, the backtone method includes processing the post requirement and the personal history of the job seeker and sending to a plurality of backtone executing parties; receiving survey results fed back by the plurality of back tone executing parties; and comparing the survey results of the plurality of callback executing parties, extracting mutually exclusive survey conclusions in the survey results, performing cross validation, and generating a survey report according to the cross validation result. The invention distributes the same or adjacent historical data to different back tone executing parties for back tone, thus being capable of carrying out cross validation on the back tone result and leading the back tone result to be more real and accurate. Meanwhile, the back tone results of different back tone executing parties are compared, so that the service level and the credit degree of the back tone executing parties are obtained through analysis, and the task allocation of the back tone can be adjusted according to the performance of the back tone executing parties.
Description
Technical Field
The invention relates to the field of professional credit investigation, in particular to a backtone method and system based on curriculum vitae cross validation and a computer storage medium thereof.
Background
On the premise of employment relations, through legal investigation approaches and investigation methods, the personal basic information, past work background, capability and work performance of candidates or job seekers (including staff waiting for entry and staff at work) are known, comprehensive evaluation on the investigated staff is formed (for example, a background investigation report on the investigated staff is formed when a third-party professional background investigation company is sought), and the method is an indispensable recruitment process of enterprises in a staff employment link. Based on the existence history of the job seeker, the fake and the requirement of verifying the history of the job seeker is made by the personnel before the personnel. The traditional method is a manual investigation and text processing information operation mode. With the arrival of the big data era, the application of big data permeates all walks of life and is widely utilized in the field of business credit investigation.
The prior art in the background investigation (data verification) of people based on big data is disclosed as US7865451 Systems and methods for verifying jobmaker data, which is to verify the history by establishing a module related to the history, such as a university investigation module, a network social module, a work unit module, etc.; the patent No. CN101315681A background investigation method based on the personal resume of the Internet provides a personal resume database of a common job seeker and a personal resume database of manpower resources; wherein, the personal resume of the ordinary job seeker and the personal resume of the human resource comprise the name of a work unit and a work starting date field of the work unit; the method comprises the steps of selecting a personal resume of an ordinary job seeker needing to investigate the background of the ordinary job seeker, searching a human resource personal resume database by taking the name of a working unit of the personal resume and a working starting date as search conditions, investigating the background of the ordinary job seeker through the searched human resources, and verifying the history of the job seeker through comparing information of two databases, namely the personal history database of the ordinary job seeker and the personal history database of the human resource. US9684905 Systems and methods for data verification is a method and system for verifying data, including income and employment, assets, medical claims, clinical data, and other types of data that may be subject to various regulations and/or privacy restrictions, by issuing a series of requests to the relevant personnel, verification methods based on the responses after the requests.
The above patent verifies the data to some extent, but the data verification itself does not have the function of double verification, so the accuracy of the data verification result cannot be verified, and a further solution cannot be provided for the continuous back-tone requirement.
Therefore, in order to improve the accuracy and reliability of the survey results and provide a preferred background survey executive party for the continuous background survey requirements of human units, the invention provides a history cross-validation background debugging method, a history cross-validation background debugging system and a computer storage medium thereof.
Disclosure of Invention
The invention aims to provide a backtone method, a system and a computer storage medium for history cross validation, which are used for backtone the history of a job seeker, cross validation of survey results, guarantee of the accuracy of history data, and analysis of the service level and the credibility of a backtone executive through comparison of the survey results. The invention realizes and solves the technical problems through the following technical scheme:
the invention provides a backtone method for history cross validation, which comprises the following steps:
processing post requirements and personal records of job seekers, and simultaneously sending information related to the job seekers to a plurality of back tone executing parties;
receiving survey results fed back by the plurality of back tone executing parties, wherein the survey results are obtained by carrying out background survey and information verification on information related to the job seeker;
and comparing the survey results of the plurality of back tone executing parties, extracting mutually exclusive survey conclusions in the survey results, performing cross validation, and generating a survey report according to the cross validation result.
Further, the method further comprises: and additionally starting investigation tasks for investigation conclusions which are still mutually exclusive in the cross validation result.
Further, the alignment process comprises: at least one of text comparison, semantic-based information comparison, and machine learning-based intelligent information comparison.
Further, the processing the post requirements and the personal records of the job seeker comprises:
processing information related to the job seeker into fielded data;
splitting the fielded data into a plurality of segmented data.
Further, the method further comprises:
and setting at least one field in the filed data as a field of key back tone, only distributing the field of key back tone to a plurality of back tone executing parties for cross validation, and only distributing the field of non-key back tone to one or two back tone executing parties for individual investigation.
Further, the method further comprises:
evaluating the investigation results of the back-debugging executing parties, automatically determining the risk degree and/or priority of the back-debugging executing parties, and selecting at least two back-debugging executing parties for cross validation and/or distribution and recovery of investigation tasks according to the risk degree and/or priority.
Further, the evaluating the survey results comprises:
and performing cross validation according to the survey results fed back by different callback executing parties, performing reverse verification on each callback executing party, and identifying the callback executing party as a high-risk callback executing party when the condition that the consistency is poor in the survey results of a certain callback executing party exceeds a first preset threshold.
Further, the first preset threshold is at least one of a data proportion, a data number and a data amount.
Further, the evaluating the survey results comprises:
recording the back tone time consumption of each back tone executor, and simultaneously recording the delay reason and the time length of the back tone executor which does not deliver the survey result on time as parameters for evaluating the performance of the back tone executor.
Further, the method further comprises:
before cross validation, if the investigation conclusion of the mutual exclusion includes a field of key back tone and/or the number of the back tone executors of the investigation conclusion with the mutual exclusion is not more than a second preset threshold, the investigation conclusion is sent back to the back tone executors to back tone again, or sent to a third party for validation.
Furthermore, the times of sending back the re-back tone by each back tone executing party are recorded, and the result of sending back the re-back tone is tracked; and automatically determining the risk degree and/or priority of the back tone executive party according to the number of times and the result of sending back the back tone again.
Further, the method further comprises: and matching the vocational credit information of the job seeker through other data sources on the network, and supplementing field information in the personal records of the job seeker.
Another aspect of the present invention provides a recall device for history cross-validation, comprising:
the processing and distributing module is used for processing post requirements and personal records of job seekers and simultaneously sending information related to the job seekers to a plurality of back tone executing parties;
a result receiving module, configured to receive a survey result fed back by the plurality of callbacks executing parties, where the survey result is obtained by performing a background survey and information verification on information related to the job seeker;
and the comparison verification module is used for comparing the investigation results of the plurality of back tone executing parties, extracting mutually exclusive investigation conclusions in the investigation results, performing cross verification, and generating an investigation report according to the cross verification results.
Further, the processing distribution module comprises:
the field processing module is used for processing the information related to the job seeker into filed data;
and the data splitting module is used for splitting the filed data into a plurality of segmented data.
Further, the apparatus further comprises:
the evaluation module is used for evaluating the investigation results of the plurality of back tone executing parties and automatically determining the risk degree and/or the priority of the plurality of back tone executing parties;
and the task distribution module is used for selecting at least two back-debugging executing parties to perform cross validation and/or survey task distribution and recovery according to the risk degree and/or the priority.
Further, the apparatus further comprises:
and the information supplement module is used for matching the job information of the job seeker with other data sources on the network and supplementing field information in the personal records of the job seeker.
Another aspect of the present invention further provides a retroactive system for curriculum vitae cross validation, including:
a memory and one or more processors;
wherein the memory is communicatively coupled to the one or more processors, and the memory stores instructions executable by the one or more processors, the instructions being executable by the one or more processors to cause the one or more processors to perform the above-mentioned back-tuning method.
Yet another aspect of the present invention also provides a computer-readable storage medium having stored thereon computer-executable instructions operable to perform the above-described back-tuning method when executed by a computing device.
In summary, the present invention provides a method, an apparatus, a system and a computer storage medium for backtone with history cross validation, wherein the method for backtone includes processing the post requirement and the individual history of the job seeker, and simultaneously sending the information related to the job seeker to a plurality of backtone executors; receiving survey results fed back by the plurality of back tone executing parties, wherein the survey results are obtained by carrying out background survey and information verification on information related to the job seeker; and comparing the survey results of the plurality of callback executing parties, extracting mutually exclusive survey conclusions in the survey results, performing cross validation, and generating a survey report according to the cross validation result.
The technical scheme of the invention has the following beneficial technical effects: the back tone is performed by assigning the same or adjacent histories (data) to different back tone executing parties. Therefore, the back tone result can be cross-verified, so that the back tone result is more real and accurate. Meanwhile, the back tone results of different back tone executing parties are compared, so that the service level and the credit degree of the back tone executing parties are obtained through analysis, and the task allocation of the back tone can be adjusted according to the performance of the back tone executing parties.
Drawings
FIG. 1 is a flow chart of a method of cross-validation of callbacks in accordance with the teachings of the present invention;
FIG. 2 is a block diagram of a cross-validation method for historical data of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
The invention relates to an automatic professional credit investigation method, in particular to a back tone method and a system for sending the same resume to different back tone executing parties for background investigation and then cross validation. The method organically combines a big data technology, an information system technology and a credit investigation information processing technology, carries out digitization and field transformation on personal information, carries out machine identification on the basis of manual identification, carries out acquisition, arrangement, processing and verification processes of personal resume information through big data and credit investigation means and carries out employment risk verification. The system specifically comprises an information storage and processing platform, a network and client software which run on a server.
As shown in fig. 1, the method for backtone of history cross validation of the present invention includes the following steps:
s1, processing post requirements and personal records of job seekers, and simultaneously sending information related to the job seekers to a plurality of back tone executing parties. The method specifically comprises the following steps: receiving post requirements and personal records of job seekers; processing the individual resume information to obtain field data; and splitting the fielded data into a plurality of pieces of segmented data, and distributing the pieces of segmented data to a plurality of callback executing parties simultaneously.
And S2, receiving survey results fed back by the plurality of back tone executing parties, wherein the survey results are obtained by carrying out background survey and information verification on information related to the job seeker.
And S3, comparing the survey results of the plurality of background tone executing parties, extracting mutually exclusive survey conclusions in the survey results, performing cross validation, and generating a survey report according to the cross validation result.
The above method is illustrated by a specific example. The post requirement and the personal record (data) of the called are collected and uploaded to a system platform through an enterprise client or a personal server (APP or a webpage). The system platform processes the individual resume information to obtain the data in a field. Each data field comprises a content used for describing the related content of the job seeker vocational sign information, and the data field also comprises specific information under the credit information body. For example, two field examples are: name: king a certain thing; identification card number: XXXXX. Step S21 may be further included after the step S2: the system platform can be matched with the job information related to the job seeker through other data sources, generates field information which is not contained in the job seeker record, supplements the field information to the personal record information of the job seeker, for example, field information such as personal specialties, scores of various matches and published articles, and supplements the field information to the personal record information of the job seeker. The system platform divides the field data into a plurality of parts according to a set, and can also divide the field data into a plurality of divided parts, for example, the field data are divided into the sections according to different work histories, each section of work experience is the experience of one work unit, and the work history part of the information main body is simultaneously distributed to a plurality of different back tone executing parties according to the work experience part of the information main body. For example, job seeker king a certain job experience is: 9-2013 in 2010, 7-month in some kindergarten teacher; 8 months of 2013 until now, some insurance company sells people. The system platform divides the work history field data into two sections of data according to the work experience of a certain king, wherein one section of data is a preschool teacher and the other section of data is an insurance company salesman, and the segmented history data are distributed to a plurality of different back tone executing parties. Each back tone executing party carries out background investigation and information verification according to the segment resume data received by the client or the system interface, and inputs respective investigation results into the client or the technical interface and feeds back the investigation results to the system platform through the network. The system platform compares the survey results, extracts mutually exclusive survey conclusions in the survey results, generates a survey report after performing cross validation, and displays the survey report to a user unit, so that the user unit can more clearly see the verification results of the called person on the employment risk and the historical authenticity. The mutually exclusive investigation conclusion means that the investigation conclusion of at least one of the plurality of the callback executing parties is different from or inconsistent with the investigation conclusions of other callback executing parties, for example, the work unit in the investigation result of a certain callback executing party comes in or goes out with other investigation results, or the display work time between the investigation results is discontinuous or overlapped, and the like. In the example of the former wang, the segment data of the work history is simultaneously distributed to three different callbacks A, B, C for investigation, wherein the investigation result of one callback A shows that one callback A takes the teacher in a certain kindergarten from 9 months to 7 months in 2010, and takes the salesman in an insurance company until 8 months in 2014; the survey results of the other two callbacks performers B, C show that the teacher in a kindergarten was in 2010, 9-2013, 7, and the salesman was in an insurance company in 2013, 8. The investigation results of the three parts enable a certain job experience of the king to show investigation conclusion that two working units are working at the same time during 8 months-2014 months in 2013, and then the investigation task needs to be started separately.
Further, the system platform compares the related data and the text information by comparing the originally collected and input occupation related information with the information after investigation, and the specific comparison processing comprises the following steps: at least one of text comparison, semantic-based information comparison, and machine learning-based intelligent information comparison. For example: dates, posts, responsibilities, working experiences and the like, and special marking and distinguishing are carried out on the consistent/inconsistent projects, and different detail display can be carried out on the inconsistent projects. Particularly in the final survey report.
Further, the above-mentioned fielded data can be associated with the position requirement data to determine the field of the key-back. Different posts correspond to different key back tone fields. For example, if the post requirement is a radio frequency engineer, professional knowledge, skills and work experience related to the radio frequency engineer in the personal resume information and the electronic product to be designed are listed as the field for key back adjustment and identification. As another example, where the post requirement is a project management manager, the specific project and associated performance involved in the management experience and management of the project is identified as a field of key emphasis. And the system platform distributes the survey content marked by the key background tone field to a background tone executive party for background survey. In one approach, only the key tone field is distributed to multiple tone executors for cross validation, while the non-key tone field is distributed to only a few, such as one or two tone executors for individual investigation.
Further, the system platform simultaneously considers the back tone evaluation of different back tone executing parties according to the requirements of the client, for example, screening evaluation items such as back tone quality and back tone time consumption, automatically determining the risk degree and/or priority of the back tone executing parties, and selecting at least two back tone executing parties for cross validation and/or distribution and recovery of investigation tasks according to the risk degree and/or priority.
In one approach, the system platform performs a reverse verification on a particular callbacks executor according to cross-validation results of results fed back by different callbacks executors. The reverse verification aims to evaluate the investigation capability, result credibility and other contents of the callback executing party. The specific evaluation method is also based on consistency detection of investigation results of a plurality of callback executing parties, if the system platform identifies that a large amount of data of a certain callback executing party has poor consistency, the callback executing party is identified to be a high-risk callback executing party, as in the example that the work experience of a certain Wang is distributed to the callback executing party A, B, C for investigation, and the investigation conclusion obtained by the callback executing party A is inconsistent with the investigation conclusion obtained by the callback executing parties B and C. If the investigation result obtained by the back tone executing party A in the multiple investigation processes is inconsistent with the investigation results of other back tone executing parties and exceeds the set first preset threshold, the situation that the investigation result of the back tone executing party A is poor in consistency can be judged, and the back tone executing party A is a high-risk back tone executing party and is selected less or not in the future back tone task allocation. The setting of the first preset threshold may be selected as a data proportion, a data number or a data amount, for example, if the inconsistent data proportion exceeds 10%, or the inconsistent data number exceeds 10, or the inconsistent data amount exceeds 10MB, or the like, the consistency is poor, and the first preset threshold is set automatically by the system platform or specified by the user.
Further, the system platform may distribute the identified history and related requirements to different preferred callback executing parties, where the related requirements include duration, etc. The time duration countdown requirement is input into the system platform and used as a collection time point for collecting the back tone result, a timing reminding function can be input in the middle, the content of the back tone execution party back tone task and the time required to be completed are reminded at a certain time, and the back tone is ensured to be completed on time. And sending order information and early warning or requesting manual assistance to order for the back-tone executor which does not deliver the back-tone result on time, recording delay reasons and duration as parameters of performance assessment of the back-tone executor, and taking the parameters as reference when the back-tone executor is selected at a later stage.
Further, the system platform performs comparison processing and cross validation on the back-tone result. The system platform collects the back tone results through the client of the back tone executive party and compares the back tone results: and if the back tone results are consistent in the comparison, sending the back tone results to the enterprise client (namely, the personnel unit for making the back tone request). And if the back tone results are inconsistent, giving out an early warning. Meanwhile, different comparison results, especially key survey fields, can be sent back to a callback executive party for re-survey or sent to a third party for verification. A specific principle of retuning back may be to follow a few retuning back principles, for example, if there are two retuning executing parties to perform retuning back, and if there are inconsistent fields in the retuning result, the system platform block sends the inconsistent retuning fields back to the corresponding two retuning executing parties respectively to request the two retuning executing parties to perform retuning back or sends the inconsistent fields to a third party for verification. If three callbacks executing parties exist, if the nth investigation field of the callback executing party A has different results from the results of the callback executing party B and the callback executing party C, and the nth investigation field of the callback executing party B and the callback executing party C has the same result, the system platform sends the nth investigation field back to the callback executing party A for recalling or sends the nth investigation field back to a third party for verification according to the principle of a few recalling.
Furthermore, the system platform records the times of sending back the re-back tone by each back tone executing party, tracks the condition of sending back the re-back tone and compares the results of further tracking investigation. If the back tone result is confirmed to be correct through rechecking, updating the number of times of sending back the back tone again by the corresponding back tone executing party, namely, the number of times of sending back the back tone again is not recorded; if the rechecking result is incorrect, the number of times of sending back to the rechecking is recorded again in an accumulated mode, namely the incorrect investigating result is sent back to the rechecking for twice recording. The number of times of sending back the back tone again is one of the signs of evaluating the back tone quality of the back tone execution square. If the number of times of re-investigation is large, the number of times that the investigation result of the calling execution party does not accord with the actual situation is large; if the number of times of return re-investigation is small, it means that the number of times that the investigation result of the calling execution party does not match the actual situation is small. The amount of traffic allocated by the back-tone operation can be adjusted according to the number of times of sending back the back-tone again.
Furthermore, the data with the history information not consistent with the investigation results and the data with the data conflict among the investigation results are the cross-validation function obtained by the automatic data processing method based on the system platform. Specifically, cross-validation is achieved by consistency validation of feedback information obtained from different callbacks executing parties in the same field. When the system platform identifies that the data fed back by the plurality of back tone executing parties are consistent, the reliability of the data is considered to be verified. When the system platform identifies that the data fed back by a plurality of back tone executing parties are inconsistent, potential position risk factors are found. In some fields, the consistency of the data can be verified directly from content matching. For example, the specific time of the work experience may be strictly verified according to the starting month and the ending month. In some fields, the consistency of the data is verified by fuzzy matching, such as professional skills, management ability, communication ability and the like. At this time, the result of the verification is not simply whether they are consistent or not, but is an estimation of the matching degree of the results of a plurality of callbacks. The cross validation system can obtain various validation strategies through continuous rule definition and data accumulation, and the validation strategies are not listed but can be obtained through corresponding enlightenment.
Further, the final report is the result of comparing and cross-verifying the multiple callbacks executing parties, and simultaneously marking the corresponding potential risks and the marked reasons of the risks. Because different back tone executing parties with the same resume perform back tone, each field is verified by at least two back tone executing parties, and therefore through the method, the system platform can provide a more accurate job-performing risk report for a potential employer.
In another aspect, the present invention provides a recall device for history cross-validation, as shown in fig. 2, including:
the processing and distributing module is used for processing post requirements and personal records of job seekers and simultaneously sending information related to the job seekers to a plurality of back tone executing parties;
a result receiving module, configured to receive a survey result fed back by the plurality of callbacks executing parties, where the survey result is obtained by performing a background survey and information verification on information related to the job seeker;
and the comparison verification module is used for comparing the survey results of the plurality of back tone executing parties, extracting mutually exclusive survey conclusions in the survey results, performing cross verification, and generating a survey report according to the cross verification result.
Further, the processing distribution module comprises:
the field processing module is used for processing the information related to the job seeker into filed data;
and the data splitting module is used for splitting the filed data into a plurality of segmented data.
Further, the apparatus further comprises:
the evaluation module is used for evaluating the investigation results of the plurality of back tone executing parties and automatically determining the risk degree and/or the priority of the plurality of back tone executing parties;
and the task distribution module is used for selecting at least two back-debugging executing parties to perform cross validation and/or survey task distribution and recovery according to the risk degree and/or the priority.
Further, the apparatus further comprises:
and the information supplement module is used for matching the job information of the job seeker with other data sources on the network and supplementing field information in the personal records of the job seeker.
In another aspect of the present invention, a system for backdispatching with history cross validation is further provided, where the system for backdispatching includes: a memory and one or more processors; wherein the memory is communicatively coupled to the one or more processors and stores instructions executable by the one or more processors to cause the one or more processors to perform the method of backproporting as previously described.
In yet another aspect of the present invention, a computer-readable storage medium having stored thereon computer-executable instructions operable to perform the above-described back-tuning method when executed by a computing device is provided.
In summary, the present invention provides a method, an apparatus, a system and a computer readable storage medium for backtone with history cross validation, wherein the method for backtone comprises processing the post requirement and the individual history of the job seeker, and simultaneously sending the information related to the job seeker to a plurality of backtone executors; receiving survey results fed back by the plurality of back tone executing parties, wherein the survey results are obtained by carrying out background survey and information verification on information related to the job seeker; and comparing the survey results of the plurality of back tone executing parties, extracting mutually exclusive survey conclusions in the survey results, performing cross validation, and generating a survey report according to the cross validation result. The invention allocates the same or adjacent historical data to different background tone executing parties to carry out background tone. Therefore, the back tone result can be cross-verified, so that the back tone result is more real and accurate. Meanwhile, the back tone results of different back tone executing parties are compared, so that the service level and the credit degree of the back tone executing parties are obtained through analysis, and the task allocation of the back tone can be adjusted according to the performance of the back tone executing parties.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modifications, equivalents, improvements and the like which are made without departing from the spirit and scope of the present invention shall be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (10)
1. A backtone method of history cross validation is characterized by comprising the following steps:
processing post requirements and personal records of job seekers, and simultaneously sending information related to the job seekers to a plurality of back tone executing parties;
receiving survey results fed back by the plurality of back tone executing parties, wherein the survey results are obtained by carrying out background survey and information verification on information related to the job seeker;
comparing the survey results of the plurality of back-tone executing parties, extracting mutually exclusive survey conclusions in the survey results, performing cross validation, sending the survey results to an enterprise client if the survey results of the plurality of back-tone executing parties are consistent, sending an early warning if the survey results of the plurality of back-tone executing parties are inconsistent, simultaneously sending back the plurality of back-tone executing parties for re-surveying or sending the results to a third party for validation aiming at different comparison results to obtain cross validation results, and generating a survey report according to the cross validation results;
and performing cross validation according to the survey results fed back by the plurality of callback executing parties, and performing reverse verification on each callback executing party.
2. The method of claim 1, further comprising: and additionally starting investigation tasks for investigation conclusions which are still mutually exclusive in the cross validation result.
3. The method of claim 1 or 2, wherein the alignment process comprises: at least one of text comparison, semantic-based information comparison, and machine learning-based intelligent information comparison.
4. The method of claim 1, wherein processing the position requirements and the personal history of the job seeker comprises:
processing information related to the job seeker into filed data;
splitting the fielded data into a plurality of segmented data.
5. The method of claim 4, further comprising:
and setting at least one field in the filed data as a field of key back tone, only distributing the field of key back tone to a plurality of back tone executing parties for cross validation, and only distributing the field of non-key back tone to one or two back tone executing parties for individual investigation.
6. The method according to claim 1 or 2, characterized in that the method further comprises:
evaluating the investigation results of the back-debugging executing parties, automatically determining the risk degree and/or priority of the back-debugging executing parties, and selecting at least two back-debugging executing parties for cross validation and/or distribution and recovery of investigation tasks according to the risk degree and/or priority.
7. The method of claim 6, wherein the evaluating the survey results comprises:
and when the situation that the consistency is poor in the investigation result of a certain back tone executive party exceeds a first preset threshold value, the back tone executive party is identified as a high-risk back tone executive party.
8. The method of claim 7, wherein the first predetermined threshold is at least one of a data ratio, a number of data pieces, and a data amount.
9. The method of claim 6, wherein the evaluating the survey results comprises:
recording the back tone time consumption of each back tone executor, and simultaneously recording the delay reason and the time length of the back tone executor which does not deliver the survey result on time as parameters for evaluating the performance of the back tone executor.
10. The method of claim 1, further comprising:
before cross validation, if the investigation conclusion of the mutual exclusion includes a field of key back tone and/or the number of the back tone executors of the investigation conclusion with the mutual exclusion is not more than a second preset threshold, the investigation conclusion is sent back to the back tone executors to back tone again, or sent to a third party for validation.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810215329.8A CN108629555B (en) | 2018-03-15 | 2018-03-15 | Back tone method, device and system for history cross validation and storage medium thereof |
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| CN101315681A (en) * | 2007-05-28 | 2008-12-03 | 上海易米信息科技有限公司 | Curriculum vitae background survey method based on internet |
| CN107016608A (en) * | 2017-03-30 | 2017-08-04 | 广东微模式软件股份有限公司 | The long-range account-opening method and system of a kind of identity-based Information Authentication |
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| CN101315681A (en) * | 2007-05-28 | 2008-12-03 | 上海易米信息科技有限公司 | Curriculum vitae background survey method based on internet |
| CN107016608A (en) * | 2017-03-30 | 2017-08-04 | 广东微模式软件股份有限公司 | The long-range account-opening method and system of a kind of identity-based Information Authentication |
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