CN115858598A - Enterprise big data-based target information screening and matching method and related equipment - Google Patents
Enterprise big data-based target information screening and matching method and related equipment Download PDFInfo
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Abstract
The invention relates to the technical field of talent information processing, and discloses a method, a device, equipment and a storage medium for screening and matching target information based on enterprise big data. The method comprises the following steps: the method comprises the steps of obtaining data information of each enterprise, generating an enterprise database, screening and classifying the data information in the enterprise database, determining the data information category of the enterprise database, obtaining the requirement of the data information category on talents and technologies, matching the data information category of the enterprise database with a preset talent information base to obtain a matching degree, determining talent resume information and talent subsidy information and pushing the information to a preset enterprise subsidy matching form if the matching degree reaches a preset value, and determining associated characteristic information based on a matching result and sorting the information in real time to provide a supplement scheme if the matching result does not reach the preset value. The invention solves the problems of inflexibility, narrow coverage range and long total period of evaluation, screening and matching of the existing talent screening mechanism.
Description
Technical Field
The invention relates to the technical field of talent information processing, in particular to a target information screening method based on enterprise big data and related equipment.
Background
With the rapid development of economy in China and the development of internet technology and big data algorithms, the market competition form of modern enterprises is more and more fierce, the just need of talents is higher and higher, most enterprises need to pay huge time and cost when searching adaptive employees, the enterprises not only need the employees to do homework, but also need the employees to have professional knowledge and ability, so that the management and the continuous development of the enterprises are realized, and the normal progress of the work is ensured.
Meanwhile, the rapid running of the internet technology and the big data algorithm brings great convenience to the work and life of people, and the intelligent data algorithm with the talent recommendation function is high in degree and is based on feature recognition and enterprise big data.
Disclosure of Invention
The invention mainly aims to provide a target information screening and evaluating method, device, equipment and storage medium based on enterprise big data, and aims to solve the technical problem of how to quickly and automatically screen and match required talents according to enterprise requirements.
The invention provides a target information screening and evaluating method based on enterprise big data, which comprises the following steps:
acquiring data information of each enterprise, and generating an enterprise database based on the data information of each enterprise;
screening and classifying the data information of each enterprise in the enterprise database, and determining the data information category of the enterprise database;
acquiring the requirements of the data information category of the enterprise database on talents and technologies;
based on the requirement for talents and technologies, matching the data information type of the enterprise database with a preset talent information base to obtain a matching degree;
judging whether the matching result reaches a preset value in real time according to the matching degree;
if the matching degree reaches the preset value, determining talent resume information and talent subsidizing information, and pushing the talent resume information and the talent subsidizing information to a preset enterprise subsidizing matching form;
and if the matching result does not reach the preset value, determining the associated characteristic information based on the matching result and sorting in real time to give a supplementary scheme.
Optionally, in a first implementation manner of the first aspect of the present invention, the screening and classifying the data information of each enterprise in the enterprise database, and determining the data information category of the enterprise database includes:
acquiring the title, the release unit, the release time and the release content of the data information of each enterprise in the enterprise database;
screening the data information of each enterprise according to the title, the release unit, the release time and the release content of the data information of each enterprise, and deleting invalid enterprise data information;
classifying the screened enterprise data information according to the title, the release unit, the release time and the release content of the data information of each enterprise, based on at least one of the technical field of the data information of each enterprise, the attribute of the data information, the target of the data information, the administrative region and the level of the release unit, and the required meeting condition and the effective time of the release content, so as to obtain the data information category of the enterprise database;
wherein the publishing content comprises: professional background, academic calendar, functions, working age and general movements.
Optionally, in a second implementation manner of the first aspect of the present invention, the acquiring requirements of the data information category of the enterprise database on talents and technologies includes:
analyzing the data information category requirements of the enterprise database;
acquiring a talent demand type and a technical demand type;
wherein the talent demand type and the technical demand type comprise: talent demand information, talent management information, technical demand type includes: technical requirement information and matching talent professional alignment information.
Optionally, in a third implementation manner of the first aspect of the present invention, the matching the data information category of the enterprise database with a preset talent information base and obtaining a matching degree based on the requirement for talents and technologies includes:
presetting a matching weight standard value of the data information category of the enterprise database;
substituting the data information category of the enterprise database and the requirements of the talents and technologies into a preset function fitting formula to perform relevant information function fitting to generate a correlation value;
converting the correlation value to obtain a corresponding matching weight value;
processing the matching weight value and establishing a comparison result of the matching weight value and the matching weight standard value;
obtaining target talent information matched with the data information type according to the comparison result;
determining the target talent information corresponding to each enterprise data information and recording in real time;
and pushing the target talent information matched with the data information to the enterprise database and acquiring the matching degree in real time according to a preset matching model.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the preset function fitting formula includes:
wherein, F (x) i ,p i ,s i ) Is the i-th type associated value, t (p) i ,s i ) For class i data information category, j (p) i ,s i ,x i ) Is the i-th type talent and technical requirement, xi is the i-th type talent requirement category, p i For the i-th class data information attribute, s i Is a type i data information object,
are non-identical constant variables, wherein i is a positive integer.
Optionally, in a fifth implementation manner of the first aspect of the present invention, the preset matching module
The model comprises:
wherein M (h, n) is matching degree, h (x) i ) Is a fitting function of the ith matching index, n represents the number of the selected matching indexes, xi is the ith matching index, fm is the mth common factor,
is the m-th immutable, u, of the i-th matching index correspondingly selected by Fm i For i constant variables, e, corresponding to the matching indices i Is the ith special factor, wherein i and m are positive integers.
Optionally, in a sixth implementation manner of the first aspect of the present invention, if the matching result does not reach the preset value, determining associated feature information of the matching result based on the matching result and performing real-time sorting to provide a supplementary solution includes:
if the matching result does not reach the preset value, setting a value evaluation system;
evaluating the associated characteristic information based on the preset value evaluation system;
extracting corresponding evaluation information, and matching to generate comprehensive capability information of corresponding talents;
analyzing and obtaining the skill information of the corresponding talents based on the comprehensive capability information of the corresponding talents; the skill information comprises category information, technical field information, technical subject information, talent skill requirement level information and the like;
and automatically generating and matching the analyzed skill information from the enterprise database according to preset matching conditions to obtain a corresponding supplement scheme.
The second aspect of the present invention provides an enterprise big data based target information screening and matching apparatus, including:
the first acquisition module is used for acquiring data information of each enterprise and generating an enterprise database based on the data information of each enterprise;
the determining module is used for screening and classifying the data information of each enterprise in the enterprise database and determining the data information category of the enterprise database;
the second acquisition module is used for acquiring the requirements of the data information category of the enterprise database on talents and technologies;
the matching module is used for matching the data information type of the enterprise database with a preset talent information base based on the requirements on talents and technologies to obtain the matching degree;
the judging module is used for judging whether the matching result reaches a preset value in real time according to the matching degree;
the first processing module is used for determining talent resume information and talent subsidy information if the matching degree reaches the preset value, and pushing the talent resume information and the talent subsidy information to a preset enterprise subsidy matching form;
and the second processing module is used for determining the associated characteristic information based on the matching result and sorting the associated characteristic information in real time to give a supplementary scheme if the matching result does not reach the preset value.
A third aspect of the present invention provides an electronic device comprising: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the electronic device to execute any one of the above-mentioned methods for screening and matching target information based on enterprise big data.
A fourth aspect of the present invention provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the enterprise big data-based target information screening matching method according to any one of the above.
In the technical scheme provided by the invention, by acquiring the data information of each enterprise, generating an enterprise database based on the data information of each enterprise, screening and classifying the data information of each enterprise in the enterprise database, determining the data information category of the enterprise database, acquiring the requirements of the data information category of the enterprise database on talents and technologies, matching the data information category of the enterprise database with a preset talents information database based on the requirements on talents and technologies to obtain a matching degree, judging whether the matching result reaches a preset value in real time according to the matching degree, if the matching degree reaches the preset value, the talent resume information and talent subsidization information are determined and pushed to a preset enterprise subsidization matching form, and if the matching result does not reach the preset value, the relevant characteristic information of the talent resume information and talent subsidization information are determined based on the matching result and are arranged in real time to give a supplement scheme.
Drawings
FIG. 1 is a schematic diagram of a first embodiment of a target information screening matching method based on enterprise big data in an embodiment of the present invention;
FIG. 2 is a diagram of a second embodiment of a method for screening and matching target information based on enterprise big data according to an embodiment of the present invention;
FIG. 3 is a diagram of a third embodiment of a target information screening and matching method based on enterprise big data in an embodiment of the present invention;
FIG. 4 is a diagram of a fourth embodiment of a target information screening matching method based on enterprise big data in the embodiment of the present invention;
FIG. 5 is a diagram of a fifth embodiment of a method for screening and matching target information based on enterprise big data according to the embodiment of the present invention;
FIG. 6 is a schematic diagram of an embodiment of a matching apparatus for screening target information based on enterprise big data in an embodiment of the present invention;
fig. 7 is a schematic diagram of an embodiment of an electronic device in an embodiment of the invention.
Detailed Description
The embodiment of the invention provides a target screening and matching method, device, equipment and storage medium based on enterprise big data, which solves the problems of inflexibility, narrow coverage range and long total screening and matching period of the existing screening talent mechanism.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Moreover, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For convenience of understanding, a specific flow of the embodiment of the present invention is described below, and referring to fig. 1, an embodiment of the method for screening and matching target information based on enterprise big data in the embodiment of the present invention includes:
s101, acquiring data information of each enterprise, and generating an enterprise database based on the data information of each enterprise;
in this embodiment, the method for acquiring data information of each enterprise mainly depends on data acquisition, specifically including enterprise information acquisition, enterprise directory, corporate number, enterprise acquisition software, web page capture data, web page crawlers, website data acquisition, web page data acquisition software, python crawlers, HTM web page extraction, APP data capture packages, APP data acquisition, one-stop website acquisition technology, data analysis of BI data, data tagging, and the like, and the specifically selected acquisition method is selected according to the requirements of the enterprise.
In this embodiment, the enterprise database may be an entity or a general system in the enterprise industry field, and is used to process data, and store data related to the whole enterprise, cause, department, group, and individual, etc., which are all established from a global perspective and are all organized, described, and stored according to a certain model.
In this embodiment, for most enterprises, it is impossible to directly mine and process the collected data information, and thus support cannot be provided for the decision layer of the company, so that it is necessary to generate an enterprise database, which is not only beneficial to data collection, but also capable of efficiently processing the obtained data information and solving the problem of data confusion, thereby facilitating website content search and effectively realizing management of each enterprise.
S102, screening and classifying the data information of each enterprise in the enterprise database, and determining the data information category of the enterprise database;
in this embodiment, the screening of the data information may have a total of two screening methods, the first is automatic screening, the second is advanced screening, and generally, the probability of selecting the second automatic screening method is higher.
In this embodiment, the data classification of the data information of each enterprise is to set labels and categories for setting confidentiality, sensitivity and confidentiality level to the acquired data information, and if we set all data to high security level or category, this will result in high cost, complexity and cost, so that they are screened and classified appropriately according to the needs, conditions and the like of each enterprise.
S103, acquiring the requirements of the data information category of the enterprise database on talents and technologies;
in this embodiment, the requirement of the enterprise technical talents includes a plurality of aspects, and the requirements for the required talents and the required technology are different according to the difference of the enterprise corresponding to the professional field, so it is necessary to obtain the requirements for the talents and the required technology according to the data information type of the enterprise database.
In the embodiment, the requirement of the data information category of the enterprise database on talents and technologies is obtained in advance, so that the time for data processing can be shortened, the purpose and the pertinence are strong, and the relationship between the requirement of the enterprise technical talents and the culture of the technical talents is indirectly explained.
S104, matching the data information type of the enterprise database with a preset talent information base to obtain the matching degree based on the requirements of talents and technologies;
in this embodiment, the preset talent information base is an information database established by engineering and management professionals who work or practice in the professional field, for example, the professional construction field includes: senior and middle-level job title technicians, registered architects, supervision engineers, constructors, survey design engineers (including structural engineers, civil & geotechnical engineers and the like), real estate evaluators, construction engineers, city planners and other practitioners have personal qualification, performance, reward, penalty and other information, and different professional fields comprise different personnel information contents and are selected according to the fields of enterprises and requirements.
In this embodiment, the preset talent information base is a very large database system, time cost for screening and extracting can be saved by performing matching in advance, the obtained matching degree is the similarity between the searched content and the target to be searched, the working efficiency is improved, and the obtained result is more accurate and reliable.
S105, judging whether the matching result reaches a preset value in real time according to the matching degree;
in this embodiment, the preset value is a variable set in advance, for example, the preset value may be 0.7, and whether the matching result reaches a standard value of 0.7 is determined in real time, where the preset value is based on the experience level of an enterprise, and based on obtaining feedback index item information of each item in the process of acquiring talent and technical requirements of the enterprise, the feedback index item information may be considered from the aspects of the expertise of talents, the degree of cooperation with the enterprise, the management of the enterprise, the continuous development, and the like.
S106, if the matching degree reaches a preset value, determining talent resume information and talent subsidizing information and pushing the talent resume information and the talent subsidizing information to a preset enterprise subsidizing matching form;
in this embodiment, when the matching degree reaches the preset value, it shows that the matching preferences meet the current enterprise requirements, and when the matching preferences meet the enterprise requirements, it shows that the current preferences meet the matching conditions, and pushes the preferences meeting the matching conditions, so that the matching results can be obtained more intuitively, unnecessary troubles are filtered out, and a rational basis is provided for subsequent operations.
And S107, if the matching result does not reach the preset value, determining the associated characteristic information based on the matching result and sorting in real time to give a supplementary scheme.
In this embodiment, when it is determined that the matching result does not reach the preset value, it indicates that at least one or more conditions that do not satisfy the enterprise requirements and are funded by the talents exist in the current human selection, and the conditions are arranged to better provide a change opportunity to obtain a subsequent development opportunity.
In the embodiment, by acquiring data information of each enterprise, generating an enterprise database based on the data information of each enterprise, screening and classifying the data information of each enterprise in the enterprise database, determining the data information category of the enterprise database, acquiring the requirement of the data information category of the enterprise database on talents and technologies, matching the data information category of the enterprise database with a preset talent information base based on the requirement on talents and technologies to obtain a matching degree, judging whether the matching result reaches a preset value in real time according to the matching degree, if the matching degree reaches the preset value, determining talent resume information and talent subsidization information and pushing the talent resume information and talent subsidization information to a preset enterprise subsidization matching form, if the matching result does not reach the preset value, determining associated characteristic information based on the matching result and sorting to give a supplementary scheme, the invention realizes automatic screening according to target information of big data, meets the requirements of conditions, and if the matching result does not reach the preset value, the relevant characteristic information is determined in real-time to give a supplementary scheme, and the problems of simple screening and evaluation are improved, and the problems of simple and the comprehensive screening result are improved.
Referring to fig. 2, a second embodiment of the method for screening and matching target information based on enterprise big data according to the embodiment of the present invention includes:
s201, acquiring data information of each enterprise, and generating an enterprise database based on the data information of each enterprise;
s202, acquiring titles, release units, release time and release contents of data information of each enterprise in an enterprise database;
in this embodiment, the title, the distribution unit, the distribution time, and the distribution content of the data information of each enterprise may be obtained to set rules in more detail for the requirements of the subsequent talents and technologies, wherein the title of the data information of each enterprise may be set by each enterprise, and the distribution time and the distribution content may be set according to the requirements of each enterprise and may be updated at any time.
S203, screening the data information of each enterprise according to the title, the release unit, the release time and the release content of the data information of each enterprise, and deleting invalid enterprise data information;
in this embodiment, delete invalid enterprise data information and can improve the work efficiency of screening process, practiced thrift the time and the cost of labor of spending, also can ensure the accuracy and the reliability of matching result, simplified and promoted the process of screening evaluation simultaneously, the real operation is got up simply conveniently.
S204, classifying the screened enterprise data information according to the title, the release unit, the release time and the release content of the data information of each enterprise, based on at least one of the technical field of the data information of each enterprise, the attribute of the data information, the target of the data information, the administrative region and the level of the release unit and the required satisfying condition and effective time of the release content, and obtaining the data information category of the enterprise database;
wherein, the conditions required to be met for releasing the content comprise: professional background, academic calendar, function, working age, etc.
In this embodiment, the more detailed the release content is, the more accurate and reliable screening and matching basis is provided for the subsequent work development, wherein the distribution and matching of professional background, academic calendar, functions, working age, and college can better reflect the talent comprehensive evaluation result.
S205, acquiring the requirements of the data information category of the enterprise database on talents and technologies;
s206, matching the data information type of the enterprise database with a preset talent information base to obtain a matching degree based on the requirements of talents and technologies;
s207, judging whether the matching result reaches a preset value in real time according to the matching degree;
s208, if the matching degree reaches a preset value, determining talent resume information and talent subsidizing information and pushing the talent resume information and talent subsidizing information to a preset enterprise subsidizing matching form;
and S209, if the matching result does not reach the preset value, determining the associated characteristic information based on the matching result and sorting in real time to give a supplementary scheme.
In this embodiment, the supplementary solution is a plan-like text that is comprehensively, specifically and explicitly arranged according to the target requirements, the work content, the mode, the work steps, and the like, wherein the supplementary solution has the characteristics of wide applicability, collectivity and regularity, and is a good solution for improving the overall professional quality of the talent information base.
Referring to fig. 3, a third embodiment of the method for screening and matching target information based on enterprise big data according to the embodiment of the present invention includes:
s301, acquiring data information of each enterprise, and generating an enterprise database based on the data information of each enterprise;
s302, screening and classifying the data information of each enterprise in the enterprise database, and determining the data information category of the enterprise database;
s303, analyzing the data information type requirement of the enterprise database;
s304, acquiring a talent demand type and a technical demand type;
wherein, talent demand type and technical demand type include: talent demand information, talent management information, the technical demand type includes: technical requirement information and matching talent professional alignment information.
S305, matching the data information category of the enterprise database with a preset talent information base based on the requirements on talents and technologies to obtain the matching degree;
s306, judging whether the matching result reaches a preset value in real time according to the matching degree;
s307, if the matching degree reaches a preset value, determining talent resume information and talent subsidizing information and pushing the talent resume information and the talent subsidizing information to a preset enterprise subsidizing matching form;
and S308, if the matching result does not reach the preset value, determining the associated characteristic information based on the matching result and sorting in real time to give a supplementary scheme.
In this embodiment, talent demand type and technical demand type have obtained more careful division, can guarantee better that each enterprise obtains accuracy, rationality and fairness to required talents.
Referring to fig. 4, a fourth embodiment of the method for screening and matching target information based on enterprise big data according to the embodiment of the present invention includes:
s401, acquiring data information of each enterprise, and generating an enterprise database based on the data information of each enterprise;
s402, screening and classifying the data information of each enterprise in the enterprise database, and determining the data information category of the enterprise database;
s403, acquiring the requirements of the data information category of the enterprise database on talents and technologies;
s404, presetting a matching weight standard value of the data information category of the enterprise database;
in this embodiment, the preset matching weight standard value is a settable variable threshold, the set matching weight standard value is a relatively fair reference value, and the higher the matching degree is, the higher the matching weight standard value is.
S405, substituting the data information category of the enterprise database and the requirements of the talents and technologies into a preset function fitting formula to perform relevant information function fitting to generate a correlation value;
in this embodiment, the function fitting method is used to perform the function fitting of the relevant information, so as to simplify the operation process and improve the operation efficiency, wherein the obtained correlation value is also the reference data indicating one of the matching degrees.
S406, converting the correlation value to obtain a corresponding matching weight value;
in this embodiment, the correlation value is converted into the matching weight value through the formula, so that the matching weight value can be better compared with the preset matching weight standard value, and the obtained result is more accurate, visual and particularly has strong reference.
S407, processing the matching weight value and establishing a comparison result of the matching weight value and the matching weight standard value;
s408, obtaining target talent information matched with the data information type according to the comparison result;
in this embodiment, after the weighted values are established, the weights are corrected through a large number of algorithms, the finally determined matching weighted values are more accurate, and indirectly reflect the importance degree of the required talents to the enterprise, and it is to be noted that the transmission of the weights is not the transmission of the equivalent average, but is transmitted after calculation, and is generally transmitted through links, particularly links with anchor texts.
S409, determining and recording target talent information corresponding to each enterprise data information in real time;
and S410, pushing the target talent information matched with the data information to an enterprise database and acquiring the matching degree in real time according to a preset matching model.
S411, judging whether the matching result reaches a preset value in real time according to the matching degree;
s412, if the matching degree reaches a preset value, determining talent resume information and talent subsidizing information and pushing the talent resume information and the talent subsidizing information to a preset enterprise subsidizing matching form;
and S413, if the matching result does not reach the preset value, determining the associated characteristic information based on the matching result and sorting in real time to give a supplementary scheme.
In this embodiment, the newly set matching weight standard value is a relative concept, and for a certain index, the weight of the certain index refers to the relative importance degree of the index in the overall evaluation, wherein the matching weight standard value also represents the quantitative distribution of the importance degrees of different sides of the evaluated object in the evaluation process, and the role of each evaluation factor in the overall evaluation is distinguished, but actually, the evaluation without emphasis cannot be an objective evaluation.
Further, in an optional embodiment, the preset function fitting formula is as follows:
wherein, F (x) i ,p i ,s i ) Is the i-th class association value, t (p) i ,s i ) For class i data information category, j (p) i ,s i ,x i ) Is the i-th type talent and technical requirement, xi is the i-th type talent requirement category, p i For the i-th class data information attribute, s i For the i-th type data information object,
are non-identical constant variables, wherein i is a positive integer. Each of the parameters is a quantized data value, and the function fitting formula may be calculated.
In this embodiment, a formula of preset function fitting is provided, which can provide a highly reliable and more comprehensive evaluation calculation mode of associated values for individuals and enterprises, wherein in the screening and matching processes, data information categories, talents and technical requirements, talent requirement categories, data information attributes, objects targeted by data information, and the like are collected in real time, associated values of more dimensions can be obtained, reliability of associated value evaluation is greatly improved, and guidance can be provided for talent requirements of enterprises.
Further, in another optional embodiment, the preset matching model comprises:
wherein M (h, n) is matching degree, h (x) i ) Is a fitting function of the ith matching index, n represents the number of the selected matching indexes, xi is the ith matching index, fm is the mth common factor,
is the mth invariable, u, of the ith matching index correspondingly selected by Fm i For i constant variables, e, corresponding to the matching index i Is the ith special factor, wherein i and m are positive integers. Each of the parameters is a quantized data value, and the matching model can be calculated.
In this embodiment, a formula for presetting a matching model is provided, so that data filtering and analysis can be performed on a talent information base, a part of invalid matching degrees which do not meet conditions is filtered, the reliability of each enterprise for obtaining talent requirements for matching is ensured, and the reliability of a final matching result is also ensured.
Referring to fig. 5, a fifth embodiment of the method for screening and matching target information based on enterprise big data according to the embodiment of the present invention includes:
s501, acquiring data information of each enterprise, and generating an enterprise database based on the data information of each enterprise;
s502, screening and classifying the data information of each enterprise in the enterprise database, and determining the data information category of the enterprise database;
s503, acquiring the requirements of the data information category of the enterprise database on talents and technologies;
s504, based on the needs of talents and technologies, matching the data information category of the enterprise database with a preset talent information base to obtain a matching degree;
s505, judging whether the matching result reaches a preset value in real time according to the matching degree;
s506, if the matching degree reaches a preset value, determining talent resume information and talent subsidizing information and pushing the talent resume information and the talent subsidizing information to a preset enterprise subsidizing matching form;
s507, if the matching result does not reach the preset value, setting a value evaluation system;
in this embodiment, the purpose of presetting the value evaluation system is to evaluate the required talents, and no matter what work is in the human society, the result or product of any work performed by human has a difference of good or bad degree, which is said to be the difference of evaluating the required talents, and has a certain referential range.
In this embodiment, the preset value evaluation system includes how to recognize, analyze, measure, and evaluate, and is not desired, but needs to have certain standards and dimensions.
S508, evaluating the associated characteristic information based on a preset value evaluation system;
in this embodiment, the associated feature information and the preset value evaluation system thereof are kneaded, and this evaluation process is a process of composite analysis of methods such as comprehensive calculation, observation and consultation, and is also an evaluation process of judgment and processing.
S509, extracting corresponding evaluation information, and matching to generate comprehensive ability information of corresponding talents;
s510, analyzing and obtaining skill information of the corresponding talents based on the comprehensive capability information of the corresponding talents; the skill information comprises category information, technical field information, technical subject information, talent skill requirement level information and the like;
in the embodiment, the evaluation opinions obtained after the associated characteristic information is evaluated according to the preset value evaluation system are more intuitive, and the corresponding improvement scheme can be better deduced, so that great convenience is improved in the working process.
And S511, automatically generating and matching the analyzed skill information from the enterprise database according to preset matching conditions to obtain a corresponding supplement scheme.
In this embodiment, a processing method for screening and matching target information based on enterprise big data is provided, which can provide a highly reliable and more comprehensive talent comprehensive evaluation calculation manner for individual and databases of each enterprise. In the screening and matching process, the target information conditions of each enterprise and the evaluation data of talent requirements are collected in real time, the data analysis of the data of each enterprise on the talent and technology requirements in the enterprise database and the required talent evaluation data by using a preset value evaluation system is carried out, so that evaluation index values of more dimensions are obtained, and the reliability of screening, evaluation and talent matching results is greatly improved. The evaluation method can obtain the relevant value evaluation after the matching degree is completed, can also provide guidance for subsequent evaluation opinions and relevant work of an improvement scheme, carries out data filtering and analysis on the talent information evaluation index value, filters out partial invalid evaluation index values, ensures the reliability of the talent information evaluation index value, and ensures the reliability of the final matching result.
In the above description of the target information screening and matching method based on the enterprise big data in the embodiment of the present invention, referring to fig. 6, a target information screening and matching device based on the enterprise big data in the embodiment of the present invention is described below, and an embodiment of the target information screening and matching device based on the enterprise big data in the embodiment of the present invention includes:
a first obtaining module 601, configured to obtain data information of each enterprise, and generate an enterprise database based on the data information of each enterprise;
a determining module 602, configured to screen and classify data information of each enterprise in an enterprise database, and determine a data information category of the enterprise database;
a second obtaining module 603, configured to obtain requirements of data information types of the enterprise database on talents and technologies;
a matching module 604, configured to match the data information category of the enterprise database with a preset talent information base based on the needs of talents and technologies to obtain a matching degree;
a judging module 605, configured to judge whether the matching result reaches a preset value in real time according to the matching degree;
the first processing module 606 is configured to determine talent resume information and talent subsidy information if the matching degree reaches a preset value, and push the talent resume information and the talent subsidy information to a preset enterprise subsidy matching form;
and the second processing module 607 is configured to, if the matching result does not reach the preset value, determine the associated feature information based on the matching result and sort the associated feature information in real time to provide a supplementary solution.
In the embodiment of the invention, the data information of each enterprise is acquired, the enterprise database is generated based on the data information of each enterprise, the data information of each enterprise in the enterprise database is screened and classified, the data information category of the enterprise database is determined, the requirement of the data information category of the enterprise database for talents and technologies is acquired, the data information category of the enterprise database is matched with a preset talent information base based on the requirement for talents and technologies to obtain the matching degree, whether the matching result reaches a preset value or not is judged in real time according to the matching degree, if the matching degree reaches the preset value, talent resume information and talent subsidization information are determined and pushed to a preset enterprise subsidization matching form, if the matching result does not reach the preset value, associated characteristic information is determined based on the matching result and is sorted in real time to give a supplementary scheme, the problems of inflexibility, narrow coverage and evaluation of the existing talent mechanism are realized, the screening and the matching result is simplified, and the matching result is based on the problems of long comprehensive screening period and convenient evaluation, and the matching process is improved.
Fig. 6 describes in detail the target information screening and matching apparatus based on enterprise big data in the embodiment of the present invention from the perspective of a modular functional entity, and the electronic device in the embodiment of the present invention is described in detail in the perspective of hardware processing.
Fig. 7 is a schematic structural diagram of an electronic device 700 according to an embodiment of the present invention, where the electronic device 700 may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 710 (e.g., one or more processors) and a memory 720, one or more storage media 730 (e.g., one or more mass storage devices) for storing applications 733 or data 732. Memory 720 and storage medium 730 may be, among other things, transient storage or persistent storage. The program stored in the storage medium 730 may include one or more modules (not shown), each of which may include a sequence of instructions operating on the electronic device 700. Further, the processor 710 may be configured to communicate with the storage medium 730 to execute a series of instruction operations in the storage medium 730 on the electronic device 700.
The electronic device 700 may also include one or more power supplies 740, one or more wired or wireless network interfaces 750, one or more input-output interfaces 760, and/or one or more operating systems 731, such as Windows Server, mac OS X, unix, linux, freeBSD, and so forth. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 7 is not limiting of electronic devices and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
The invention further provides an electronic device, which includes a memory and a processor, where the memory stores computer readable instructions, and when the computer readable instructions are executed by the processor, the processor executes the steps of the enterprise big data-based target information screening and matching method in the foregoing embodiments.
The invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium, or a volatile computer-readable storage medium, and the computer-readable storage medium has stored therein instructions, which, when run on a computer, cause the computer to execute the steps of the target information screening matching method based on enterprise big data.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The method for screening and matching the target information based on the enterprise big data is characterized by comprising the following steps of:
acquiring data information of each enterprise, and generating an enterprise database based on the data information of each enterprise;
screening and classifying the data information of each enterprise in the enterprise database, and determining the data information category of the enterprise database;
acquiring the requirements of the data information category of the enterprise database on talents and technologies;
based on the requirement for talents and technologies, matching the data information type of the enterprise database with a preset talent information base to obtain a matching degree;
judging whether the matching result reaches a preset value in real time according to the matching degree;
if the matching degree reaches the preset value, determining talent resume information and talent subsidizing information, and pushing the talent resume information and the talent subsidizing information to a preset enterprise subsidizing matching form;
and if the matching result does not reach the preset value, determining the associated characteristic information based on the matching result and sorting in real time to give a supplementary scheme.
2. The method for screening and matching target information based on enterprise big data according to claim 1, wherein the screening and classifying the data information of each enterprise in the enterprise database, and the determining the data information category of the enterprise database comprises:
acquiring titles, release units, release time and release contents of the data information of each enterprise in the enterprise database;
screening the data information of each enterprise according to the title, the release unit, the release time and the release content of the data information of each enterprise, and deleting invalid enterprise data information;
classifying the screened enterprise data information according to the title, the release unit, the release time and the release content of the data information of each enterprise, based on at least one of the technical field of the data information of each enterprise, the attribute of the data information, the target of the data information, the administrative region and the level of the release unit, and the required satisfying condition and the effective time of the release content, so as to obtain the data information category of the enterprise database;
wherein the publishing content comprises: professional background, academic calendar, function, working age.
3. The method for screening and matching the target information based on the enterprise big data as claimed in claim 1, wherein the obtaining of the requirements of the data information category of the enterprise database on talents and technologies comprises:
analyzing the data information category requirements of the enterprise database;
acquiring a talent demand type and a technical demand type;
wherein the talent demand type and the technical demand type comprise: talent demand information, talent management information, technical demand type includes: technical requirement information and matching talent professional alignment information.
4. The method for screening and matching target information based on enterprise big data according to claim 1, wherein the matching the data information category of the enterprise database with a preset talent information base to obtain a matching degree based on the requirement for talents and technologies comprises:
presetting a matching weight standard value of the data information category of the enterprise database;
substituting the data information category of the enterprise database and the requirements of the talents and technologies into a preset function fitting formula to perform relevant information function fitting to generate a correlation value;
converting the correlation value to obtain a corresponding matching weight value;
processing the matching weight value and establishing a comparison result of the matching weight value and the matching weight standard value;
obtaining target talent information matched with the data information type according to the comparison result;
determining the target talent information corresponding to each enterprise data information and recording in real time;
and pushing the target talent information matched with the data information to the enterprise database and acquiring the matching degree in real time according to a preset matching model.
5. The enterprise big data-based target information screening and matching method according to claim 4, wherein the preset function fitting formula comprises:
wherein, F (x) i ,p i ,s i ) Is the i-th type associated value, t (p) i ,s i ) Is the class i data information category, j (p) i ,s i ,x i ) For the i-th talents and technical requirements, x i Is the i-th talent demand category, p i Is a firstClass i data information attribute, s i Is a type i data information object,
are non-identical constant variables, wherein i is a positive integer.
6. The method for screening and matching target information based on enterprise big data according to claim 4, wherein the preset matching model comprises:
wherein M (h, n) is matching degree, h (x) i ) A fitting function of the ith matching index, n represents the number of the selected matching indexes, and x i Is the ith matching index, F m Is the m-th common factor and is,
is F m Corresponding to the mth invariant, u, of the selected ith matching index i For i constant variables, e, corresponding to the matching indices i Is the ith special factor, wherein i and m are positive integers.
7. The method for screening and matching the target information based on the enterprise big data as claimed in claim 1, wherein if the matching result does not reach the preset value, determining the associated characteristic information based on the matching result and sorting the associated characteristic information in real time to provide a supplementary solution comprises:
if the matching result does not reach the preset value, setting a value evaluation system;
evaluating the associated characteristic information based on the preset value evaluation system;
extracting corresponding evaluation information, and matching to generate comprehensive ability information of corresponding talents;
analyzing and obtaining skill information of the corresponding talents based on the comprehensive capability information of the corresponding talents; the skill information comprises category information, technical field information, technical subject information and talent skill requirement level information;
and automatically generating and matching the analyzed skill information from the enterprise database according to preset matching conditions to obtain a corresponding supplementary scheme.
8. The device for screening and matching the target information based on the enterprise big data is characterized by comprising the following components:
the first acquisition module is used for acquiring data information of each enterprise and generating an enterprise database based on the data information of each enterprise;
the determining module is used for screening and classifying the data information of each enterprise in the enterprise database and determining the data information category of the enterprise database;
the second acquisition module is used for acquiring the requirements of the data information category of the enterprise database on talents and technologies;
the matching module is used for matching the data information type of the enterprise database with a preset talent information base based on the requirements on talents and technologies to obtain the matching degree;
the judging module is used for judging whether the matching result reaches a preset value in real time according to the matching degree;
the first processing module is used for determining talent resume information and talent subsidy information if the matching degree reaches the preset value, and pushing the talent resume information and the talent subsidy information to a preset enterprise subsidy matching form;
and the second processing module is used for determining the associated characteristic information based on the matching result and sorting the associated characteristic information in real time to give a supplementary scheme if the matching result does not reach the preset value.
9. An electronic device, characterized in that the electronic device comprises: a memory and at least one processor, the memory having instructions stored therein:
the at least one processor invokes the instructions in the memory to cause the electronic device to execute the enterprise big data based target information screening matching method of any one of claims 1-7.
10. A computer-readable storage medium having instructions stored thereon, wherein the instructions are executed by a processor to implement the enterprise big data based target information screening matching method according to any one of claims 1-7.
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| CN117114514A (en) * | 2023-10-24 | 2023-11-24 | 中电科大数据研究院有限公司 | Talent information analysis management method, system and device based on big data |
| CN117114514B (en) * | 2023-10-24 | 2024-01-02 | 中电科大数据研究院有限公司 | Talent information analysis management method, system and device based on big data |
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