CN116468585A - Personnel information management system and method based on big data - Google Patents

Personnel information management system and method based on big data Download PDF

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Publication number
CN116468585A
CN116468585A CN202310424712.5A CN202310424712A CN116468585A CN 116468585 A CN116468585 A CN 116468585A CN 202310424712 A CN202310424712 A CN 202310424712A CN 116468585 A CN116468585 A CN 116468585A
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information
area
stationery
time
professional
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CN116468585B (en
Inventor
刘祥谦
江锦超
孙璐
谭浙来
刘超峰
罗俊
王小雨
李晓静
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Dianmi Beijing Technology Co ltd
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Dianmi Beijing Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • G06Q50/265Personal security, identity or safety
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/25Integrating or interfacing systems involving database management systems
    • G06F16/252Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/105Human resources
    • G06Q10/1053Employment or hiring

Abstract

The invention belongs to the technical field of personnel management, and discloses a personnel information management system and method based on big data, wherein the method comprises the following steps: the shared database generates the stationery according to the information of the job seeker, marks the stationery according to the time sequence, takes the stationery with the earliest time as a main stationery, takes other stationery as a subsidiary stationery, compares the subsidiary stationery with the main stationery to delete the unreal information, and combines the subsidiary stationery with the main stationery to obtain the trusted stationery to be stored as personnel information. The personnel information management method based on big data has the advantages of reliable and safe information.

Description

Personnel information management system and method based on big data
Technical Field
The invention relates to the technical field of personnel management, in particular to a personnel information management system and method based on big data.
Background
The description of the background art to which the present invention pertains is merely for illustrating and facilitating understanding of the summary of the invention, and should not be construed as an explicit recognition or presumption by the applicant that the applicant regards the prior art as the filing date of the first filed application.
The job seeker obtains opportunities for the company to interview or use by sending personal information (generally including basic information, history information and intention information) to a database or directly to the company, which is a problem of bidirectional selection, but there are often problems of personal information leakage and personal information faking.
At present, the mode of personal job hunting information is generally verified by inquiring the company related to the resume information, and the method has great problems that the personal job hunting information cannot be prevented from being counterfeited, and a plurality of enterprises cannot cooperate with professional inquiry for a plurality of reasons, or job seekers have contradiction or benefit relation with the company away from the job before, and the like.
How to further avoid information leakage and stop information counterfeiting is an urgent problem to be solved at present.
Disclosure of Invention
The embodiment of the invention aims to provide a personnel information management system and method based on big data.
The aim of the embodiment of the invention is realized by the following technical scheme:
a personnel information management method based on big data includes generating notes according to job seeker information by a shared database, marking the notes according to time sequence, taking the earliest notes as main notes, taking other notes as auxiliary notes, comparing the auxiliary notes with the main notes, deleting the incomplete information, combining the auxiliary notes to obtain independent notes, and storing the independent notes as personnel information.
Further, the personnel information management method based on big data comprises the following steps:
a. the shared database generates a letter according to the information of the job seeker, the letter is remarked with letter generation time, and the information of the job seeker comprises: personal basic information, history information and intention information, generating graphic information according to the personal basic information, wherein the graphic information is used as starting information of the stationery, and the personal basic information corresponds to the graphic information one by one; the resume information comprises time information and professional information corresponding to the time information one by one;
b. comparing all the graphic information, classifying the stationery corresponding to the same graphic information into the same stationery set, and taking the stationery with the earliest generation time as a main stationery and other stationery as auxiliary stationery; dividing the main letter into a main information area and a side bar; the main information area comprises a history information area, an intention information area and a reserved area; the side bars are divided into comparison areas with the same number as the auxiliary letter from top to bottom;
c. extracting resume information in the auxiliary letter and giving the resume information with a time stamp to generate a time resume information bar, wherein the time stamp is the generation time of the auxiliary letter corresponding to the resume information; the time record information bar is sent to a side column of the main letter; sequentially sending the time record information strips to a comparison area according to the sequence of the time stamps, so that the time record information strips are arranged in the comparison area from top to bottom according to the time sequence;
d. extracting the intention information in the last comparison area to obtain an updated intention information strip, emptying the intention information area, and sending the updated intention information strip to the intention information area to obtain an updated intention information area;
e. comparing the comparison area in the side column with the information in the history information area from top to bottom, wherein the comparison is to firstly extract the time information in the history information area and the time information in the comparison area, compare the time information, compare the professional information in the comparison area corresponding to the time information, of which the time information is consistent with the time information in the history information area, with the professional information corresponding to the professional information in the history information area, and judge whether the professional information in the comparison area is consistent with the professional information corresponding to the history information area;
f. judging whether the comparison area contains time information after the last piece of time information in the history information area if the professional information in the comparison area is consistent with the corresponding professional information in the history information area, if so, defining the time information after the last piece of time information in the history information area and the corresponding professional information as updated history information, transmitting the updated history information to the history information area to update the history information area, and deleting the comparison area;
g. if the professional information in the comparison area is inconsistent with the corresponding professional information in the resume information area, locking time information corresponding to the professional information inconsistent with the professional information in the resume information area in the comparison area as suspicious time information, locking resume information pieces corresponding to suspicious time in the resume information area and each comparison area as suspicious resume information pieces, and sending the suspicious resume information pieces to a reserved area to obtain a suspicious resume information set, wherein the suspicious time information is used as identification time information of the suspicious resume information set; marking suspicious resume information pieces in the suspicious resume information set with a timestamp of a comparison area where the suspicious resume information pieces are located; judging whether the comparison area contains time information after the last piece of time information in the history information area, if so, defining the time information after the last piece of time information in the history information area and corresponding professional information as suspicious newly-added history information pieces; sending the suspicious newly-added resume information strip to the reserved area, and marking the suspicious newly-added resume information strip with a timestamp of a comparison area where the suspicious newly-added resume information strip is located;
h. extracting company information in a suspicious resume information strip, and sending verification information to a company database corresponding to the company information, wherein the verification information comprises graphic information and identification time information; extracting professional information corresponding to the verification information from a company database, and executing the step e in a comparison area corresponding to the suspicious resume information if the professional information corresponding to the verification information is consistent with the professional information in the suspicious resume information; if the professional information corresponding to the verification information is inconsistent with the professional information in the suspicious resume information, removing the comparison area corresponding to the suspicious resume information from the side column;
i. and taking the main information area as an independent stationery, taking the time stamp of the last comparison area as the time stamp of the independent stationery, packing the main stationery and the auxiliary stationery as tracing files of the independent stationery, placing the tracing files under the independent stationery to obtain the trusted stationery, and storing the trusted stationery into a shared database.
Further, in the step e, the comparison is to extract the time information in the history information area and the time information in the comparison area, perform the time information comparison, and adopt fuzzy time comparison, wherein the range of the start-stop time error of the time information is T.
Further, in the step e, it is determined whether the professional information in the comparison area is consistent with the professional information corresponding to the history information area, and fuzzy determination is adopted, that is, the professional information in the comparison area is consistent with the professional information corresponding to the history information area when the professional information belongs to the same industry.
Further, in step g, if the occupation information in the comparison area is inconsistent with the corresponding occupation information in the history information area, the method further includes the steps of: extracting the intention information of the comparison area, and if the intention information is not matched with the professional information of the history information area but is matched with the professional information of the comparison area, skipping step h to execute the step i.
Further, in the step h, an endorsement of the company database is extracted from the company database, and if the occupational information corresponding to the verification information is more than 1 occupational information in the suspicious resume information, the occupational information is sent to a server for manual verification, and the company database providing false information is marked.
A big data based personnel information management system comprising:
an information generating module for generating the letter according to the job seeker information by the shared database,
the marking module is used for marking the stationery according to the time sequence, taking the stationery with the earliest time as a main stationery and other stationery as auxiliary stationery;
the comparison module is used for comparing the auxiliary stationery with the main stationery to delete the unreal information;
and the updating module is used for merging the acquired independent stationery as personnel information to store.
The embodiment of the invention has the following beneficial effects:
the invention determines the comprehensive and reliable job hunting information by comparing the resume information generated at different times, especially by strictly verifying the resume information, thereby avoiding the falsification of the resume information for job hunting or better post replacement, standardizing the acquisition of personal real information by personnel units and optimizing the sharing scheme.
Detailed Description
The present application is further described below with reference to examples.
In order to more clearly describe embodiments of the present invention or technical solutions in the prior art, in the following description, different "an embodiment" or "an embodiment" does not necessarily refer to the same embodiment. Various embodiments may be substituted or combined, and other implementations may be obtained from these embodiments by those of ordinary skill in the art without undue burden.
A personnel information management method based on big data includes generating notes according to job seeker information by a shared database, marking the notes according to time sequence, taking the earliest notes as main notes, taking other notes as auxiliary notes, comparing the auxiliary notes with the main notes, deleting the incomplete information, combining the auxiliary notes to obtain independent notes, and storing the independent notes as personnel information.
The invention determines the comprehensive and reliable job hunting information by comparing the resume information generated at different times, especially by strictly verifying the resume information, thereby avoiding the falsification of the resume information for job hunting or better post replacement, standardizing the acquisition of personal real information by personnel units and optimizing the sharing scheme.
The above solution has achieved the object of the invention, and on the basis of this, some preferred solutions are given below:
in some embodiments of the present invention, the personnel information management method based on big data includes the steps of:
a. the shared database generates a letter according to the information of the job seeker, the letter is remarked with letter generation time, and the information of the job seeker comprises: personal basic information, history information and intention information, generating graphic information according to the personal basic information, wherein the graphic information is used as starting information of the stationery, and the personal basic information corresponds to the graphic information one by one; the resume information comprises time information and professional information corresponding to the time information one by one;
the remark letter generation time can facilitate the subsequent sorting and comparison of the letters; the graphic information is used for protecting personal basic information, the unique accuracy and the information security of information verification can be ensured by adopting the graphic information which corresponds to the basic information one by one, the graphic information is not limited, and the graphic information can be in a form similar to a two-dimensional code graphic and the like.
b. Comparing all the graphic information, classifying the stationery corresponding to the same graphic information into the same stationery set, and taking the stationery with the earliest generation time as a main stationery and other stationery as auxiliary stationery; dividing the main letter into a main information area and a side bar; the main information area comprises a history information area, an intention information area and a reserved area; the side bars are divided into comparison areas with the same number as the auxiliary letter from top to bottom;
the job seeking information with consistent personal information is put together, and then the main letter is taken as the main letter, and other letters are verified; of course, in order to further improve the reliability of the information, the verification of the main letter information may be performed before the step c is performed, that is, the main letter history information is verified to the related database, for example, the letter network is requested to refer to the learning information, and the professional information is verified to the related company database;
c. extracting resume information in the auxiliary letter and giving the resume information with a time stamp to generate a time resume information bar, wherein the time stamp is the generation time of the auxiliary letter corresponding to the resume information; the time record information bar is sent to a side column of the main letter; sequentially sending the time record information strips to a comparison area according to the sequence of the time stamps, so that the time record information strips are arranged in the comparison area from top to bottom according to the time sequence;
d. extracting the intention information in the last comparison area to obtain an updated intention information strip, emptying the intention information area, and sending the updated intention information strip to the intention information area to obtain an updated intention information area;
here, it is considered that the last job-seeking intent is that of the final job-seeking information;
e. comparing the comparison area in the side column with the information in the history information area from top to bottom, wherein the comparison is to firstly extract the time information in the history information area and the time information in the comparison area, compare the time information, compare the professional information in the comparison area corresponding to the time information, of which the time information is consistent with the time information in the history information area, with the professional information corresponding to the professional information in the history information area, and judge whether the professional information in the comparison area is consistent with the professional information corresponding to the history information area;
f. judging whether the comparison area contains time information after the last piece of time information in the history information area if the professional information in the comparison area is consistent with the corresponding professional information in the history information area, if so, defining the time information after the last piece of time information in the history information area and the corresponding professional information as updated history information, transmitting the updated history information to the history information area to update the history information area, and deleting the comparison area;
g. if the professional information in the comparison area is inconsistent with the corresponding professional information in the resume information area, locking time information corresponding to the professional information inconsistent with the professional information in the resume information area in the comparison area as suspicious time information, locking resume information pieces corresponding to suspicious time in the resume information area and each comparison area as suspicious resume information pieces, and sending the suspicious resume information pieces to a reserved area to obtain a suspicious resume information set, wherein the suspicious time information is used as identification time information of the suspicious resume information set; marking suspicious resume information pieces in the suspicious resume information set with a timestamp of a comparison area where the suspicious resume information pieces are located; judging whether the comparison area contains time information after the last piece of time information in the history information area, if so, defining the time information after the last piece of time information in the history information area and corresponding professional information as suspicious newly-added history information pieces; sending the suspicious newly-added resume information strip to the reserved area, and marking the suspicious newly-added resume information strip with a timestamp of a comparison area where the suspicious newly-added resume information strip is located;
it should be understood that there are many reasons for suspicious historical information, such as a mistake (a few cases), and the high probability is probably caused by that the job seeker deliberately falsifies the historical information to approach the intended direction in order to find a position which is not matched with the own historical industry or to seek a higher position or a higher salary position, etc., which is unfair to the personnel unit and requires normalization of the job seeker;
h. extracting company information in a suspicious resume information strip, and sending verification information to a company database corresponding to the company information, wherein the verification information comprises graphic information and identification time information; extracting professional information corresponding to the verification information from a company database, and executing the step e in a comparison area corresponding to the suspicious resume information if the professional information corresponding to the verification information is consistent with the professional information in the suspicious resume information; if the professional information corresponding to the verification information is inconsistent with the professional information in the suspicious resume information, removing the comparison area corresponding to the suspicious resume information from the side column;
i. and taking the main information area as an independent stationery, taking the time stamp of the last comparison area as the time stamp of the independent stationery, packing the main stationery and the auxiliary stationery as tracing files of the independent stationery, placing the tracing files under the independent stationery to obtain the trusted stationery, and storing the trusted stationery into a shared database.
In some embodiments of the present invention, the comparison in the step e is to extract the time information in the history information area and the time information in the comparison area, perform the time information comparison, and use fuzzy time comparison, where the range of the start-stop time error of the time information is T.
It will be appreciated that, because the record of the specific date of the previous history is often not recorded when the job-seeking information is filled, the record is considered to be not intentionally caused, but the time point in the comparison process is required to be subjected to blurring processing, for example, the record can be floated for 3 months before and after, or the accurate unit is year, and the specific error range can be adjusted according to the actual operation.
In some embodiments of the present invention, in the step e, it is determined whether the professional information in the comparison area is consistent with the professional information corresponding to the history information area, and fuzzy determination is adopted, that is, the professional information in the comparison area is consistent with the professional information corresponding to the history information area when the professional information belongs to the same industry.
The judgment of professional information is required to be ambiguous, and can be divided according to the similarity degree of industries, so as to avoid misjudgment caused by inconsistent specific work description of each company or reasons that job seekers want to find work in similar fields, such as food quality inspection work, food quality control or food security inspection in some enterprises, and the like, and the equipment operators can be divided into inner exercises, outer exercises and the like; the division of specific industries also belongs to a common means in job-seeking databases, and is not described in detail.
In some embodiments of the present invention, in step g, if the occupation information in the comparison area is inconsistent with the corresponding occupation information in the history information area, the method further includes the steps of: extracting the intention information of the comparison area, and if the intention information is not matched with the professional information of the history information area but is matched with the professional information of the comparison area, skipping step h to execute the step i.
Here, it is considered that the intention information of some job seekers is seriously mismatched with the previous work, and the previous history information is tampered in order to obtain the interview qualification of the enterprise, and once the intention of the job seeker is found to be seriously mismatched with the information in the main letter and matched with the history information of the corresponding comparison area, the history information of the comparison area is considered to have no credibility and can be deleted directly.
In some embodiments of the present invention, in the step h, an endorsement of the company database is extracted from the company database, and if the number of occupational information corresponding to the verification information and occupational information in the suspicious resume information pieces is greater than 1, the occupational information corresponding to the verification information is sent to the server for manual verification, and the company database providing false information is marked.
There are also some situations that some job seekers and some enterprises are responsible for managing the manager of the database to have private education and other relations, for example, make a false in the database of the company, for example, make a third in 2011 8-2015 3 in first company, and want to find a work of managing post, in order to prevent problems in investigation, make a third in order to make a fourth in good relation with the third in order to forge the record, and make a fourth in order to be the manager of the database of the second company, and further increase the record information that a third in 2011 8-2015 3 in the database of the second company makes a management post; the general traditional checking is to inquire about whether the historic information of 2011, 8, 2015, 3, three in the second company is true (most of the historic information is even not checked or the second company is not matched for checking at all), but the scheme of the application is different, because on the premise of data sharing, two different historic information of 2011, 8, 2015, 3 months are related in a plurality of notes of three, and two company databases are confirmed, at least one of the historic information is incorrect, manual verification is needed, and the database of the company providing the unreal information is marked, and can be integrated, and the database is played after the set score is reached; for companies that provide infonnation, a report is sent to their corporate high-level reminding them of the canonical database management.
A big data based personnel information management system comprising:
an information generating module for generating the letter according to the job seeker information by the shared database,
the marking module is used for marking the stationery according to the time sequence, taking the stationery with the earliest time as a main stationery and other stationery as auxiliary stationery;
the comparison module is used for comparing the auxiliary stationery with the main stationery to delete the unreal information;
and the updating module is used for merging the acquired independent stationery as personnel information to store.
It is to be noted that, the extraction of information data such as personnel information related in the application is performed under the condition that the requirements of national laws and regulations are met and the data is agreed by an extracted person, namely, the scheme of the application is performed on the premise that the use of personal privacy data is ensured to meet the requirements of laws and regulations.
It should be noted that the above embodiments can be freely combined as needed. The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (7)

1. The personnel information management method based on big data is characterized by comprising the following steps:
the shared database generates the stationery according to the information of the job seeker, marks the stationery according to the time sequence, takes the stationery with the earliest time as a main stationery, takes other stationery as a subsidiary stationery, compares the subsidiary stationery with the main stationery to delete the unreal information, and combines the subsidiary stationery with the main stationery to obtain the trusted stationery to be stored as personnel information.
2. The big data based personnel information management method of claim 1, wherein the big data based personnel information management method comprises the steps of:
a. the shared database generates a letter according to the information of the job seeker, the letter is remarked with letter generation time, and the information of the job seeker comprises: personal basic information, history information and intention information, generating graphic information according to the personal basic information, wherein the graphic information is used as starting information of the stationery, and the personal basic information corresponds to the graphic information one by one; the resume information comprises time information and professional information corresponding to the time information one by one;
b. comparing all the graphic information, classifying the stationery corresponding to the same graphic information into the same stationery set, and taking the stationery with the earliest generation time as a main stationery and other stationery as auxiliary stationery; dividing the main letter into a main information area and a side bar; the main information area comprises a history information area, an intention information area and a reserved area; the side bars are divided into comparison areas with the same number as the auxiliary letter from top to bottom;
c. extracting resume information in the auxiliary letter and giving the resume information with a time stamp to generate a time resume information bar, wherein the time stamp is the generation time of the auxiliary letter corresponding to the resume information; the time record information bar is sent to a side column of the main letter; sequentially sending the time record information strips to a comparison area according to the sequence of the time stamps, so that the time record information strips are arranged in the comparison area from top to bottom according to the time sequence;
d. extracting the intention information in the last comparison area to obtain an updated intention information strip, emptying the intention information area, and sending the updated intention information strip to the intention information area to obtain an updated intention information area;
e. comparing the comparison area in the side column with the information in the history information area from top to bottom, wherein the comparison is to firstly extract the time information in the history information area and the time information in the comparison area, compare the time information, compare the professional information in the comparison area corresponding to the time information, of which the time information is consistent with the time information in the history information area, with the professional information corresponding to the professional information in the history information area, and judge whether the professional information in the comparison area is consistent with the professional information corresponding to the history information area;
f. judging whether the comparison area contains time information after the last piece of time information in the history information area if the professional information in the comparison area is consistent with the corresponding professional information in the history information area, if so, defining the time information after the last piece of time information in the history information area and the corresponding professional information as updated history information, transmitting the updated history information to the history information area to update the history information area, and deleting the comparison area;
g. if the professional information in the comparison area is inconsistent with the corresponding professional information in the resume information area, locking time information corresponding to the professional information inconsistent with the professional information in the resume information area in the comparison area as suspicious time information, locking resume information pieces corresponding to suspicious time in the resume information area and each comparison area as suspicious resume information pieces, and sending the suspicious resume information pieces to a reserved area to obtain a suspicious resume information set, wherein the suspicious time information is used as identification time information of the suspicious resume information set; marking suspicious resume information pieces in the suspicious resume information set with a timestamp of a comparison area where the suspicious resume information pieces are located; judging whether the comparison area contains time information after the last piece of time information in the history information area, if so, defining the time information after the last piece of time information in the history information area and corresponding professional information as suspicious newly-added history information pieces; sending the suspicious newly-added resume information strip to the reserved area, and marking the suspicious newly-added resume information strip with a timestamp of a comparison area where the suspicious newly-added resume information strip is located;
h. extracting company information in a suspicious resume information strip, and sending verification information to a company database corresponding to the company information, wherein the verification information comprises graphic information and identification time information; extracting professional information corresponding to the verification information from a company database, and executing the step e in a comparison area corresponding to the suspicious resume information if the professional information corresponding to the verification information is consistent with the professional information in the suspicious resume information; if the professional information corresponding to the verification information is inconsistent with the professional information in the suspicious resume information, removing the comparison area corresponding to the suspicious resume information from the side column;
i. and taking the main information area as an independent stationery, taking the time stamp of the last comparison area as the time stamp of the independent stationery, packing the main stationery and the auxiliary stationery as tracing files of the independent stationery, placing the tracing files under the independent stationery to obtain the trusted stationery, and storing the trusted stationery into a shared database.
3. The personnel information management method based on big data according to claim 2, wherein in the step e, the comparison is to extract the time information in the history information area and the time information in the comparison area first, perform the time information comparison, and adopt fuzzy time comparison, that is, the range of the start-stop time error of the time information is T.
4. The personnel information management method based on big data according to claim 3, wherein in the step e, it is determined whether the professional information in the comparison area is consistent with the professional information corresponding to the history information area, and fuzzy determination is adopted, that is, the professional information in the comparison area is consistent with the professional information corresponding to the history information area when belonging to the same industry.
5. The personal information management method based on big data according to claim 4, wherein in step g, if the occupation information in the comparison area is not identical to the corresponding occupation information in the history information area, further comprising the steps of: extracting the intention information of the comparison area, and if the intention information is not matched with the professional information of the history information area but is matched with the professional information of the comparison area, skipping step h to execute the step i.
6. The personnel information management method based on big data according to claim 5, wherein in the step h, an endorsement of the company database is extracted from the company database, and if the occupational information corresponding to the verification information is more than 1 occupational information in the suspicious resume information, the occupational information corresponding to the verification information is sent to the server for manual verification, and the company database providing false information is marked.
7. A big data based personnel information management system, comprising:
an information generating module for generating the letter according to the job seeker information by the shared database,
the marking module is used for marking the stationery according to the time sequence, taking the stationery with the earliest time as a main stationery and other stationery as auxiliary stationery;
the comparison module is used for comparing the auxiliary stationery with the main stationery to delete the unreal information;
and the updating module is used for merging the acquired independent stationery as personnel information to store.
CN202310424712.5A 2023-04-20 2023-04-20 Personnel information management system and method based on big data Active CN116468585B (en)

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