CN110991988A - Target resume file screening method and device based on post information document - Google Patents
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Abstract
The application belongs to the technical field of data processing, and provides a target resume file screening method and device based on a post information document, wherein the method comprises the following steps: receiving a resume file screening request sent by a client, and responding to the resume file screening request to acquire the demand information of the post information document; acquiring a plurality of resume files from a resume database according to the demand information, and extracting resume itemized information of each resume file; matching the resume itemized information of each resume file with the post itemized information of the post information document; and calculating the corresponding matching degree of each resume file, determining a target resume file of the position information document according to the matching degree, and feeding the target resume file back to the client. The method is beneficial to improving the screening efficiency and accuracy of the target resume file.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a target resume file screening method and device based on a post information document.
Background
With the popularization of internet technology and the evaluation of human resources, particularly the screening of resume files, the technical requirement is to use a post information document as a carrier, and the post information document is a specialized information document constructed on the basis of human resources. However, in the process of screening the target resume file in the existing post information document, generally, the post required information corresponding to the screening instruction is extracted according to the screening request, and the corresponding target resume file is obtained according to the post intention information in the post required information. However, the method for screening the target resume files has the disadvantages that the number of the corresponding target resume files is large, and whether the target resume files are matched with the position information document cannot be quickly judged, so that the screening efficiency of the target resume files is influenced.
Disclosure of Invention
In order to overcome the technical problems, particularly the problems of low efficiency/low matching degree of screening target resume files in the prior art, the following technical scheme is provided:
in a first aspect, the present application provides a target resume file screening method based on a post information document, which includes the following steps:
receiving a resume file screening request sent by a client, and responding to the resume file screening request to acquire the demand information of the post information document;
acquiring a plurality of resume files from a resume database according to the demand information, and extracting resume itemized information of each resume file;
matching the resume itemized information of each resume file with the post itemized information of the post information document;
and calculating the corresponding matching degree of each resume file, determining a target resume file of the position information document according to the matching degree, and feeding the target resume file back to the client.
In one embodiment, the step of matching the resume itemization information of each resume file with the post itemization information of the post information document includes:
and acquiring keywords of the resume itemized information, and performing word meaning matching by using the keywords and the post itemized information item by item.
In one embodiment, each of the position sub-items information comprises a plurality of levels of matching contents;
the step of calculating the corresponding matching degree of each resume file and determining the target resume file of the post information document according to the matching degree comprises the following steps:
comparing the resume itemized information with the corresponding matching content of the post itemized information to obtain the matching content of each resume itemized information with the corresponding level to obtain the corresponding matching degree;
calculating the total matching degree of each resume file according to the matching degree of each resume item information;
and extracting a corresponding target resume file from the resume database according to the total matching degree.
In one embodiment, the position information document records element classification information of the position information, including corresponding first element classification information and second element classification information; the first element classification information is formed by classifying a plurality of specific similar information.
In one embodiment, the target resume file screening method based on the post information document further includes:
after the step of responding to the resume file screening request to acquire the demand information of the position information document, the method further comprises the following steps:
classifying the post description information of the post information document according to the post elements to form element classification information;
obtaining the first element classification information and the second element classification information according to the classification composition attribute of the element classification information;
matching the first element classification information with the corresponding post type in the post test tool to obtain key second element classification information of the post information document corresponding to the post description information;
and forming the post information document by the arrangement of the classification information of each element according to the type of the post information document.
In one embodiment, the step of obtaining the key second element classification information of the position information document corresponding to the position specification information by matching the first element classification information with the corresponding position type in the position testing tool includes:
obtaining the post name information of the post information document from the first element classification information;
performing post classification matching with the post testing tool according to the post name information;
and acquiring key second element classification information of the post information document according to the post classification matching result.
In one embodiment, the step of obtaining the key second element classification information of the post information document according to the result of post classification matching includes:
obtaining key second element classification information of the lowest-level post corresponding to the post classification of the post information document according to the post classification matching result;
matching the post level in the first element classification information with the post level of the post testing tool;
according to the result of the post level matching, obtaining the level difference between the post information document and the lowest-level post of the post classification;
and obtaining the grade requirement of the corresponding key second element classification information in the post classification according to the grade difference, and using the grade requirement as the key second element classification information of the post information document.
In a second aspect, the present application further provides a target resume file screening apparatus based on a post information document, which includes:
the receiving module is used for receiving the resume file screening request sent by the client and responding to the resume file screening request to acquire the demand information of the post information document;
the extracting module is used for acquiring a plurality of resume files from a resume database according to the demand information and extracting resume itemized information of each resume file;
the matching module is used for respectively matching the resume itemized information of each resume file with the post itemized information of the post information document;
and the feedback module is used for calculating the corresponding matching degree of each resume file, determining a target resume file of the post information document according to the matching degree, and feeding the target resume file back to the client.
In a third aspect, the present application further provides a server, including:
one or more processors;
a memory;
one or more computer programs, wherein the one or more computer programs are stored in the memory and configured to be executed by the one or more processors, the one or more computer programs configured to perform the method for target resume file screening based on position information documents of any embodiment of the first aspect.
In a fourth aspect, the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method for screening a target resume file based on a position information document according to any embodiment of the first aspect is implemented.
The application provides a target resume file screening method and device based on a position information document, wherein the method comprises the steps of obtaining demand information of the position information document according to a screening request of a resume file sent by a user through a client, obtaining a plurality of resume files as candidates according to the demand information, obtaining the matching degree of each resume item information by extracting the resume item information in the resume file and the position item information in the position information document and matching the resume item information to obtain the corresponding total matching degree of each resume file, determining the target resume file according to the matching degree, and feeding the target resume file back to the client.
Compared with the original screening method of the target resume file, the method provided by the application obtains the candidate resume file according to the demand information, decomposes the resume file into resume itemized information and matches the resume itemized information with the post itemized information, can further reduce the screening range of the target resume file according to the matching degree, and obtains the resume file which is matched with the post information file most highly by calculating the total matching degree of the resume file, wherein the number range of the target resume file is the minimum. Therefore, the target resume file screening method and device based on the post information document improve the screening efficiency and accuracy of the target resume file.
Additional aspects and advantages of the present application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the present application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a diagram of an application environment of a method for screening a target resume file based on a post information document according to an embodiment of the present application;
FIG. 2 is a flowchart of a target resume file screening method based on a post information document according to an embodiment of the present application;
FIG. 3 is a flowchart of a target resume file screening method based on a post information document according to another embodiment of the present application;
FIG. 4 is a schematic structural diagram of a target resume file screening apparatus based on a post information document according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a server according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
It will be understood by those within the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art.
As used herein, a "terminal," as will be understood by those skilled in the art, includes both devices that include a wireless signal receiver, which are devices having only a wireless signal receiver without transmit capability, and devices that include receive and transmit hardware, which have devices capable of performing two-way communication over a two-way communication link. Such a device may include: a cellular or other communication device having a single line display or a multi-line display or a cellular or other communication device without a multi-line display; PCS (Personal Communications Service)A personal communication system) that may combine voice, data processing, facsimile and/or data communication capabilities; PDA (Personal Digital Assistant)，Personal digital assistants) that may include radio frequency receivers, pagers, internet/intranet access, web browsers, notepads, calendars, and/or GPS (Global Positioning System) receivers; a conventional laptop and/or palmtop computer or other device having and/or including a radio frequency receiver. As used herein, a "terminal" or "terminal device" may be portable, transportable, installed in a vehicle (aeronautical, maritime, and/or land-based), or situated and/or configured to operate locally and/or in a distributed fashion at any other location(s) on earth and/or in space. As used herein, the "terminal Device" may also be a communication terminal, a web terminal, a music/video playing terminal, such as a PDA, an MID (Mobile Internet Device) and/or a Mobile phone with music/video playing function, or a smart tv, a set-top box, etc.
Referring to fig. 1, fig. 1 is a diagram of an application environment of a target resume file screening scheme based on a position information document provided by the present application; in this embodiment, the technical solution of the present application may be implemented by using a mobile terminal, for example, in fig. 1, the terminal 110 may access the server 120 through an internet network, and on the terminal 110, a user may perform data interaction with the server 120 in a manner of installing a corresponding client, a web page, and the like through an APP or human resource application software, and implement a related function on the user side, where the server 120 refers to a server device that implements various background functions, and in consideration of the actual situation of current server processing, the device described herein may also refer to a device or a cluster of multiple devices.
In order to solve the problems, the application provides a target resume file screening method based on the position information document. Referring to fig. 2, fig. 2 is a flowchart of a target resume file screening method based on a post information document according to an embodiment, and the method includes the following steps:
s210, receiving a resume file screening request sent by a client, and responding to the resume file screening request to acquire the demand information of the post information document.
In this step, when the user sends a screening request of the resume file through the client, the server responds to the screening request and extracts the requirement information of the corresponding position information document from the screening request. The user can be a resume screening person of a human resource department or a human department.
The requirement information of the post information document comprises post name information, requirement department information and other contents. And the server sends the requirement information for extracting the corresponding post information document to the classification library of the post information document according to the requirement information of the post information document to obtain the corresponding post information document.
S220, acquiring a plurality of resume files from a resume database according to the demand information, and extracting resume itemization information of each resume file.
In this step, the server also makes a request for obtaining the corresponding resume file to the resume database according to the demand information. And according to the position name information and the requirement department information in the requirement information, the server acquires a plurality of resume files meeting the conditions from the resume database, and extracts and lists the resume files according to resume item information so as to transversely compare the resume files in the follow-up process.
The server obtains multiple resume files meeting the conditions from the resume database, and the information meeting the requirements can be obtained through intention post information in the resume files or through matching analysis of resume branch information of the resume files.
And S230, respectively matching the resume itemized information of each resume file with the post itemized information of the post information document.
Matching the resume sub-item information of the plurality of acquired resume files meeting the conditions in the step S220 with the post sub-item information in the post information document item by item to obtain post sub-item information corresponding to the resume sub-item information, and comparing and matching the resume sub-item information with the post sub-item information.
S240, calculating the corresponding matching degree of each resume file, determining a target resume file of the post information document according to the matching degree, and feeding the target resume file back to the client.
In the step, the corresponding matching degree is obtained according to the matching result of the resume itemized information and the corresponding post itemized information. And after the matching degree of each resume subitem information is obtained, calculating the total matching degree of each resume file with the position information document, confirming a target resume file of the position information document according to the total matching degree, feeding the target resume file back to the client, and determining a list conforming to the position information document by referring to the target resume file.
According to the target resume file screening method based on the position information document, after a user sends a resume file screening request to a server through a client, the user responds to the resume file screening request to obtain the required information of the position information document, obtains the corresponding position information document according to the required information and obtains a plurality of resume files of the required information in a resume database. Matching corresponding items of the resume itemized information of the acquired resume file with the post information document, and finally calculating the matching degree of the resume file and the post information document, thereby determining a target resume file and feeding the target resume file back to the client. According to the method and the device, the corresponding plurality of resume files are obtained through the demand information of the position information document, and the matching degree of each resume file and the position information document can be accurately obtained through matching the resume itemization information in the resume files with the position itemization information of the position information document, so that the target resume file is confirmed. Therefore, the target resume file with higher matching degree with the post information document can be quickly and accurately obtained, and the screening efficiency and accuracy of the target resume file are improved.
For step S230, comprising: and acquiring keywords of the resume itemized information, and performing word meaning matching by using the keywords and the post itemized information item by item.
And the server acquires a plurality of resume files from the resume database and acquires each resume itemized information according to the arrangement format of the resume itemized information of the resume files. And traversing and word meaning matching are carried out on the resume itemized information one by acquiring keywords of the resume itemized information, and the resume itemized information corresponds to the post itemized information.
If the resume file and the post information document are formed in the same human resource system, the server names the same subitement content, namely if the naming modes of the resume subitement information and the post subitement information are consistent, the resume subitement information can be obtained through the arrangement format of the resume subitement information and is directly matched with the post subitement information correspondingly.
If the resume file is a related resume file obtained by other systems or acquired by the resume file picture, related resume sub-item information can be confirmed by the general design of the resume sub-item information title such as thickening, font size or format highlighting. And if the naming mode of the resume itemized information is inconsistent with that of the post itemized information, performing character recognition on the resume itemized information according to a database of related terms, and performing corresponding matching on the post itemized information with the same semantics.
For step S240, each of the position partial information includes several levels of matching contents. For the step of calculating the corresponding matching degree of each resume file, and determining the target resume file of the post information document according to the matching degree, the step comprises the following steps:
a1, comparing the resume itemized information with the corresponding matching content of the post itemized information, and obtaining the matching content of each resume itemized information with the corresponding level to obtain the corresponding matching degree.
In the step, for the same post item information, the corresponding requirements of the matching contents of each grade are gradually increased. And comparing the resume itemized information with each level of matching content of the corresponding position itemized information according to the matching result of the resume itemized information and the position itemized content.
The resume itemized information comprises objective information which can be formed by a plurality of classified information and subjective information which comprises evaluation content.
The objective information is illustrated in a work experience: in the embodiment, the requirements of the years of the working experience in the position information document are classified into 1-2 years, 2-3 years, 4-5 years, 5-7 years and 7-10 years, and the option content of the year factor is formed in a code table form. And comparing the resume itemized information with each itemization in the code table, and judging whether the itemization of the resume itemized information related to the service experience age requirement is greater than or equal to the service experience age requirement in the post itemization information. If yes, defining the resume itemization information as a matching item, otherwise, defining the resume itemization information as a non-matching item. If the matching items are expressed in the form of scores, the matching items are expressed in the form of scores 1; the unmatched terms are represented by a score of 1.
The subjective information is illustrated by a position capability. The resume itemized information mostly contains subjective factors and subjective descriptions. In this embodiment, the resume itemized information matches the matching content of the level itemization of the corresponding post itemized information by using a human testing tool. Specifically, according to the resume itemization information and the specific itemization of the corresponding position itemization information, the subitems are decomposed, for example, the position capability can be decomposed into two itemizations of the overview evaluation and mastering tool, and each itemization has related description for different capability levels. And setting related keywords for different items and different levels according to the level requirements of the post item information, and determining the matching degree of the resume item information obtained by the matching content with the level in the post item information by utilizing the corresponding matching of the keywords and the resume item information.
In this embodiment, in the subjective information, corresponding matching scores are set according to the specific gravity and the grade of each post itemized information with respect to a target post corresponding to a target post information file, and a higher matching score indicates a higher degree of adaptation of the resume itemized information, so that a score corresponding to the resume itemized information corresponding to the resume file is obtained.
And A2, calculating the total matching degree of each resume file according to the matching degree of each resume subitement information.
And A3, extracting a corresponding target resume file from the resume database according to the total matching degree.
And B, calculating to obtain the total matching degree related to each resume file according to the matching degree of each resume item information in the resume file obtained in the step A1.
In this embodiment, the score corresponding to the total matching degree of the resume file may be obtained by adding the obtained scores of the individual resume items of information. And according to the ranking of the scores of the total matching degrees obtained by all the resume files, confirming that the resume file with the total matching degree arranged in front is the target resume file. Furthermore, a precondition that a certain resume itemized information meets a certain itemized requirement of the post itemized information can be set; and when the resume subitem information does not meet the set conditions, deleting the post file on the adaptation list.
The post information documents mentioned for the above embodiments may be used for post description internal to the enterprise and for the associated post. The post specification may include post basic information, post profiles, post responsibilities and job requirements. The post basic information can comprise information of sex, age, school calendar, professional and the like. The post profile may include information on the department in which the post is located, the nature of the post, and the content of the post. The job requirements include capability requirements and grasp use related tool requirements for equally-divided information. And respectively compiling the corresponding itemized information into a code table for the resume itemized information and the corresponding post itemized information which are formed by the classifiable information.
And for the position specification, utilizing the property of the position specification to the related position specification, the position recruitment and internal promotion inside the enterprise. Taking the internal promotion as an example, the personal information of the corresponding candidate personnel can be acquired through the human resource system to form a resume file, and the itemized information is resume itemized information. The resume itemization information may specifically include personal basic information, personal work experience information, personal ability information, and the like. According to the resume file option request of the corresponding post information document, the server matches the post itemization information of the post specification with the resume itemization information of the resume file to obtain the matching degree of each candidate resume file, and finally obtains a target resume file which is fed back to the client through the client for the user to refer.
The post specification may also be used to specify relevant training plans within the enterprise as relevant material references. If the personnel who newly enter the same position correspond to the same position, the resume itemization information of the resume files of the related personnel about the abilities or the professional qualities and the like is matched with the position itemization information corresponding to the position information file, and corresponding content training can be specified in a targeted manner according to the level difference between the resume itemization information and the position itemization requirements.
And if the post information file is the description of the recruitment post, the post information file can be post recruitment information. The server decomposes the resume file into resume itemized information according to the received resume file, obtains the matching degree of the related resume itemized information after correspondingly matching with the post itemized information, obtains the total matching degree of the resume file through calculation, and finally feeds the target resume file back to the client.
The post recruitment information can be obtained by converting the data conversion templates of the two files according to the post specification. The method specifically comprises the following steps:
firstly, according to the attribute of the recruitment information, including the application occasion and the reading object, the post classification information needing to be concealed, namely the corresponding post subentry information is prevented from being embedded into a corresponding data conversion template.
In this embodiment, the conversion between the post specification and the recruitment post description is used as an example:
and the limited information about the post recruitment information, gender and age is concealed, so that the post recruitment information is avoided.
For post itemized information which does not need to be hidden, a corresponding data conversion template needs to be converted, and the corresponding post classification information is converted in an expression mode according to the data conversion template, wherein the specific steps are as follows:
(1) before conversion, converting the corresponding data into the template according to the corresponding post subitems. And decomposing the post itemized information according to the data conversion template, and embedding the obtained converted expression content according to the format of the data conversion template.
In the description of the station, the acquisition of the corresponding classification information in the description of the station is simplified for the sake of brevity. For example, objective information including limited fixed answers is displayed in a single word form according to a code table, such as classification information of a academic calendar, and is directly displayed as classification information of a subject/researcher and the like.
However, in this embodiment, the post recruitment information needs to be modified in a certain language. And the server extracts related contents according to the corresponding post item information and embeds the contents into the corresponding data conversion template.
In this embodiment, the data conversion template is: the learning calendar is … … or more. And setting an information acquisition label after the information is filled out, and correspondingly setting the extracted specific information in a corresponding data conversion template according to the information acquisition label to form corresponding sub-item expression conversion.
(2) The post itemization information corresponding to the subjective information can be connected with an external human testing tool, such as the human resource testing platform. Extracting specific grading content of the related post classification information, traversing the itemized information corresponding to the human resource testing platform according to the post itemized information of the post recruitment information to obtain specific content in the classification information corresponding to the human resource testing platform, acquiring an expression mode of the human resource testing platform, and comparing the expression mode with the post recruitment information to obtain a corresponding data conversion template.
In this embodiment, the lower limit of the request for the communication expression ability column in the post specification corresponding to the post is set to 4 points, which represents a specific description.
Since the reading object of the post recruitment information is a potential applicant, the related requirements need to be converted into a specific description form.
And acquiring corresponding item information from the evaluation database of the human resources according to the corresponding post item information, and performing column-dividing display on the description information according to the format of the post recruitment information according to the conversion template of the corresponding item information and the conversion template of the item information.
According to the embodiment, the target resume file screening method based on the post information document further enables the post information document to be widely applied to making of post matching and capability training projects in the field of human resources according to the specialized information document constructed on the basis of human resources and the construction mode of post itemized information. Moreover, because the post itemized information of the post information document can be accurately matched with the resume itemized information in the resume file according to contents, a target resume file with higher matching degree with the post information document can be quickly and accurately obtained or a related training scheme can be formulated, so that the efficiency and the accuracy of the human resource management are improved.
And for the above-mentioned position information document, element classification information for recording the position information. The element classification information comprises first element classification information and second element classification information according to whether the element classification information is composed of a plurality of specific same-class information in a classification mode.
Specifically, the first element classification information may be information such as gender, academic calendar or graduation institution, and the specific similar information is a sub-option corresponding to the first element classification information. Such as: the first element classification information is gender, and the corresponding specific similar information is male or female. In contrast, the second element classification information is content with strong subjectivity, such as required items about characters, abilities, or motivations of job in the position information file.
Referring to fig. 3, fig. 3 is a flowchart of a target resume file screening method based on a post information document according to another embodiment. After the step of responding to the resume file filtering request to acquire the requirement information of the position information document in step S210, the method further includes:
s211, classifying the post description information according to the post elements to form element classification information;
s212, obtaining the first element classification information and the second element classification information according to the classification composition attribute of the element classification information;
s213, matching the first element classification information with the corresponding post type in the post test tool to obtain key second element classification information of the post information document corresponding to the post description information;
s214, forming the post information document by the arrangement of the classification information of each element according to the type of the post information document.
In steps S211 to S214, the corresponding post information document is obtained according to the requirement information, and the post description information is classified according to the post elements related in the post information document to form corresponding element classification information.
And classifying the element classification information into the first element classification information and the second element classification according to the attribute of whether the element classification information can be composed of classification information. And matching the first element classification information with the corresponding post type in the post test tool to obtain key second element classification information corresponding to the post information document. The key second element classification information is the most important position requirement for the position information document. If the post information document is a post specification about a sales post, the verbal expression capability is the most important post requirement, i.e., the key second element classification information corresponding to the post information document.
And acquiring an arrangement template of a corresponding type document from a server according to the type of the post information document, such as a post specification or post recruitment information, and arranging the acquired element classification information to form a corresponding post information document.
For step S213, it includes:
b1, obtaining the position name information of the position information document from the first element classification information;
b2, according to the post name information, performing post classification matching with the post test tool;
and B3, acquiring key second element classification information of the post information document according to the post classification matching result.
For steps B1-B3, the position name information is the first element classification information because the position name information of the position information document is composed of a plurality of specific same-type information classifications, i.e., the position name information can be composed of a plurality of information classifications of specific position names.
In this embodiment, the post testing tool is a human resource testing platform, which includes different post classifications, each post classification includes different posts, and different post names corresponding to each post. Therefore, the server performs post classification matching on the post name information acquired from the target post information file and the human resource testing platform to obtain the post classification corresponding to the post name information. And obtaining key second element classification information of the post information document according to the obtained post classification matching result and the evaluation result of the human resource testing platform on the post classification. And if the post name information is a sales manager, dividing the post corresponding to the post name information into a sales post type according to the human resource testing platform, wherein the most important post of the sales post type requires good oral expression capability, namely the oral expression capability is key second element classification information of the post name information for one job of the sales manager.
For the step B3, the method may further include:
b31, obtaining key second element classification information of the lowest-level post corresponding to the post classification of the post information document according to the post classification matching result;
b32, matching the post level in the first element classification information with the post level of the post test tool;
b33, obtaining the grade difference between the post information document and the lowest grade post of the post classification according to the result of the post grade matching;
and B34, obtaining the grade requirement of the corresponding key second element classification information in the position classification according to the grade difference, and using the grade requirement as the key second element classification information of the position information document.
And for the steps B31-B34, obtaining the lowest-level position related to the key second element classification information from the position classifications corresponding to the position name information of the position information document according to the position classification matching result, wherein for example, the lowest-level position is a salesman for a corresponding selling position. And acquiring the post subentry information of the post level in the post information document, and matching the post level of the post classification with the human resource testing platform to obtain the level difference between the post information document and the lowest-level post of the post classification.
The grade difference is determined according to a general grading mode of the human resource testing platform for the post type, or according to the architecture of an enterprise where the user is located.
And the server obtains the post requirements of the post grades corresponding to the post information documents in the post grades from the human resource testing platform according to the grade difference, and the post requirements are used as key second element classification information of the post information documents.
For the statement that the server obtains the key second element classification information of the position information document from the human resource testing platform, the following description is given by way of example:
or sales positions and verbal expression ability as examples. On the human resource testing platform, 1-5 grades of oral expression ability from excellent to poor can be evaluated, and corresponding descriptions can be respectively excellent oral expression ability and strong language strain ability; the oral expression ability is good, and emergency can be dealt with in time; the oral expression capability is better, and the preparation for full statement can be made on the theme; the oral expression ability is general, and a brief statement can be made on the subject; the oral expression ability was poor, and the subject matter could not be clearly expressed.
For example, the corresponding position of the position information document is the sales department chief of a company in a certain area. And obtaining the post type corresponding to the post as a sale post from the human resource testing platform.
For the sales position, the position subentry information of the target position information file about the oral expression ability is the key second element classification information, the lowest level of the sales position is the position of the salesperson, and the level requirement of the oral expression ability of the salesperson is a level 3 requirement, namely the oral expression ability is better, so that the preparation for full statement of the subject can be made.
The levels for sales posts from the corresponding enterprise architecture are: salesman-shop front or department sales leader-sales headquarters for the corresponding regional company. The grade difference between the sales department chief and the salesman of the company in the certain area is acquired from the corresponding enterprise architecture system and is 2 grade, and the grade requirement of the post item information of the corresponding oral expression ability is also improved to be 2 grade, namely the grade requirement of excellent oral expression ability and strong language strain ability is required to be achieved.
Further, the server confirms the corresponding post classification according to the post branch information of the post name information of the post information document. And obtaining secondary second element classification information which has relevance with the key second element classification information according to the post classification. And obtaining secondary second element classification information corresponding to the grade of the position information document according to the grade difference. And further combining the secondary second element classification information with the description of the key second element classification information to obtain key second element classification information nested in the content of the secondary second element classification information.
Based on the above statements, the following description is made using the above examples:
good vocalization needs to be of a certain logical meticulous, so for sales position information documents, the vocalization and logical meticulous become the key second element classification information and the secondary second element classification information.
Specifically, a level difference between sales headquarters of a company in a certain region and sales clerks is obtained from an architecture system of a certain enterprise at level 2, and since the logic density is the second minor element classification information, a level requirement for the logic density at each level of sales positions is set, and a degree of association between the logic density and the verbal expression ability is set to be a level requirement for increasing the logic density corresponding to the verbal expression ability at each two levels. The level of logical meticulous requirement for the salesperson's ability to vocally express is a level 3 requirement, i.e., the level of logical meticulous is better. According to the degree of relation between the logic meticulous density and the oral expression capacity, the level requirement of the matching of the oral expression capacity supervised by the sales department is level 2, namely the oral expression is logically meticulous.
Correspondingly, the requirement for vocalized capacity to be held by the corresponding position for the sales headquarters is level 1, and the logic density requirement is level 2. And according to the confirmation of the matching content of the corresponding level of the corresponding position grading information, obtaining the key second element classification information of the content nested with the secondary second element classification information. According to the grade requirement of the corresponding post itemized information obtained from the human resource testing platform, and according to the grade requirement of the corresponding post itemized information, converting the grade requirement into a corresponding quality requirement as follows: excellent oral expression ability, meticulous logic and strong language strain ability.
Therefore, the post branch information of the post information document can reflect the corresponding post requirements more comprehensively and accurately, so that the corresponding matching basis is prepared for screening the target resume file more comprehensively, and the target resume file obtained by screening can meet the actual requirement more accurately.
Based on the same inventive concept as the target resume file screening method based on the post information document, the embodiment of the present application further provides a target resume file screening apparatus based on the post information document, as shown in fig. 4, including:
the receiving module 410 is configured to receive a resume file screening request sent by a client, and respond to the resume file screening request to obtain demand information of a post information document;
the extracting module 420 is configured to obtain a plurality of resume files from a resume database according to the demand information, and extract resume itemized information of each resume file;
the matching module 430 is configured to match the resume itemization information of each resume file with the post itemization information of the post information document;
and the feedback module 440 is configured to calculate a matching degree corresponding to each resume file, determine a target resume file of the post information document according to the matching degree, and feed the target resume file back to the client.
Referring to fig. 5, fig. 5 is a schematic diagram illustrating an internal structure of a server according to an embodiment. As shown in fig. 5, the server includes a processor 510, a storage medium 520, a memory 530, and a network interface 540, which are connected by a system bus. The storage medium 520 of the server stores an operating system, a database and computer-readable instructions, the database may store control information sequences, and when the computer-readable instructions are executed by the processor 510, the processor 510 may implement a method for screening target resume files based on position information documents, and the processor 510 may implement the functions of the receiving module 410, the extracting module 420, the matching module 430 and the feedback module 440 in the apparatus for screening target resume files based on position information documents in the embodiment shown in fig. 4. The processor 510 of the server is used to provide computing and control capabilities to support the operation of the entire server. The server's memory 530 may have stored therein computer-readable instructions that, when executed by the processor 510, may cause the processor 510 to perform a method of target resume file screening based on a position information document. The network interface 540 of the server is used for connecting communication with the terminal. Those skilled in the art will appreciate that the architecture shown in fig. 5 is a block diagram of only a portion of the architecture associated with the subject application, and does not constitute a limitation on the servers to which the subject application applies, as a particular server may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the present application also proposes a storage medium storing computer-readable instructions which, when executed by one or more processors, cause the one or more processors to perform the steps of: receiving a resume file screening request sent by a client, and responding to the resume file screening request to acquire the demand information of the post information document; acquiring a plurality of resume files from a resume database according to the demand information, and extracting resume itemized information of each resume file; matching the resume itemized information of each resume file with the post itemized information of the post information document; and calculating the corresponding matching degree of each resume file, determining a target resume file of the position information document according to the matching degree, and feeding the target resume file back to the client.
By combining the above embodiments, the application has the following greatest beneficial effects:
the application provides a target resume file screening method and device based on a position information document, wherein the method comprises the steps of obtaining demand information of the position information document according to a screening request of a resume file sent by a user through a client, obtaining a plurality of resume files as candidates according to the demand information, obtaining the matching degree of each resume item information by extracting the resume item information in the resume file and the position item information in the position information document and matching the resume item information to obtain the corresponding total matching degree of each resume file, determining the target resume file according to the matching degree, and feeding the target resume file back to the client.
Compared with the original screening method of the target resume file, the method provided by the application obtains the candidate resume file according to the demand information, decomposes the resume file into resume itemized information and matches the resume itemized information with the post itemized information, can further reduce the screening range of the target resume file according to the matching degree, and obtains the resume file which is matched with the post information file most highly by calculating the total matching degree of the resume file, wherein the number range of the target resume file is the minimum. Therefore, the target resume file screening method and device based on the post information document improve the screening efficiency and accuracy of the target resume file.
On the basis, the method for forming the corresponding post information file is further provided, the formed post information file can reflect the corresponding post requirements more comprehensively and accurately, so that a corresponding matching basis is prepared for screening the target resume file more comprehensively, and the target resume file obtained by screening can meet the actual requirements more accurately.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), or a Random Access Memory (RAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features. The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A target resume file screening method based on a post information document is characterized by comprising the following steps:
receiving a resume file screening request sent by a client, and responding to the resume file screening request to acquire the demand information of the post information document;
acquiring a plurality of resume files from a resume database according to the demand information, and extracting resume itemized information of each resume file;
matching the resume itemized information of each resume file with the post itemized information of the post information document;
and calculating the corresponding matching degree of each resume file, determining a target resume file of the position information document according to the matching degree, and feeding the target resume file back to the client.
2. The method of claim 1,
the step of matching the resume itemized information of each resume file with the post itemized information of the post information document respectively comprises the following steps:
and acquiring keywords of the resume itemized information, and performing word meaning matching by using the keywords and the post itemized information item by item.
3. The method of claim 1,
each post item information comprises a plurality of levels of matching contents;
the step of calculating the corresponding matching degree of each resume file and determining the target resume file of the post information document according to the matching degree comprises the following steps:
comparing the resume itemized information with the corresponding matching content of the post itemized information to obtain the matching content of each resume itemized information with the corresponding level to obtain the corresponding matching degree;
calculating the total matching degree of each resume file according to the matching degree of each resume item information;
and extracting a corresponding target resume file from the resume database according to the total matching degree.
4. The method according to any one of claims 1 to 3,
the post information document records element classification information of the post information, wherein the element classification information comprises corresponding first element classification information and second element classification information; the first element classification information is formed by classifying a plurality of specific similar information.
5. The method of claim 4, further comprising:
after the step of responding to the resume file screening request to acquire the demand information of the position information document, the method further comprises the following steps:
classifying the post description information of the post information document according to the post elements to form element classification information;
obtaining the first element classification information and the second element classification information according to the classification composition attribute of the element classification information;
matching the first element classification information with the corresponding post type in the post test tool to obtain key second element classification information of the post information document corresponding to the post description information;
and forming the post information document by the arrangement of the classification information of each element according to the type of the post information document.
6. The method of claim 5,
the step of obtaining the key second element classification information of the post information document corresponding to the post description information by matching the first element classification information with the corresponding post type in the post test tool comprises the following steps:
obtaining the post name information of the post information document from the first element classification information;
performing post classification matching with the post testing tool according to the post name information;
and acquiring key second element classification information of the post information document according to the post classification matching result.
7. The method of claim 6,
the step of obtaining the key second element classification information of the post information document according to the post classification matching result comprises the following steps:
obtaining key second element classification information of the lowest-level post corresponding to the post classification of the post information document according to the post classification matching result;
matching the post level in the first element classification information with the post level of the post testing tool;
according to the result of the post level matching, obtaining the level difference between the post information document and the lowest-level post of the post classification;
and obtaining the grade requirement of the corresponding key second element classification information in the post classification according to the grade difference, and using the grade requirement as the key second element classification information of the post information document.
8. A target resume file screening device based on a post information document is characterized by comprising:
the receiving module is used for receiving the resume file screening request sent by the client and responding to the resume file screening request to acquire the demand information of the post information document;
the extracting module is used for acquiring a plurality of resume files from a resume database according to the demand information and extracting resume itemized information of each resume file;
the matching module is used for respectively matching the resume itemized information of each resume file with the post itemized information of the post information document;
and the feedback module is used for calculating the corresponding matching degree of each resume file, determining a target resume file of the post information document according to the matching degree, and feeding the target resume file back to the client.
9. A server, comprising:
one or more processors;
a memory;
one or more computer programs, wherein the one or more computer programs are stored in the memory and configured to be executed by the one or more processors, the one or more computer programs configured to perform the target resume file screening method based on a post information document according to any one of claims 1 to 7.
10. A computer-readable storage medium, wherein the computer-readable storage medium has stored thereon a computer program, which when executed by a processor, implements the target resume file screening method based on a position information document according to any one of claims 1 to 7.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111815258A (en) * | 2020-06-01 | 2020-10-23 | 五八到家有限公司 | Human resource matching method, device, equipment and storage medium |
| CN111984784A (en) * | 2020-07-17 | 2020-11-24 | 北京嘀嘀无限科技发展有限公司 | Method and device for matching human posts, electronic equipment and storage medium |
| CN113032443A (en) * | 2021-03-31 | 2021-06-25 | 北京百度网讯科技有限公司 | Method, apparatus, device and computer-readable storage medium for processing data |
| CN113298495A (en) * | 2021-05-27 | 2021-08-24 | 中国科学院深圳先进技术研究院 | Resume screening method, resume screening device, terminal device and storage medium |
| CN114662993A (en) * | 2022-05-18 | 2022-06-24 | 广东电网有限责任公司肇庆供电局 | Post recommendation method, system and equipment |
| US20220215196A1 (en) * | 2021-01-04 | 2022-07-07 | Atos It Solutions And Services, Inc. | Devices, systems and methods for assessing a match between job descriptions and resumes |
| US12033416B2 (en) * | 2021-01-04 | 2024-07-09 | Atos France | Devices, systems and methods for assessing a match between job descriptions and resumes |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069606A (en) * | 2015-07-30 | 2015-11-18 | 深圳市软维科技有限公司 | Method and apparatus for obtaining competence of job seeker for applied position |
| CN109327533A (en) * | 2018-11-06 | 2019-02-12 | 深圳市东宝信息技术有限公司 | A kind of the resume data push method and system of task based access control mechanism |
| US20190130512A1 (en) * | 2017-10-27 | 2019-05-02 | Larry Kuhn | System and method for pre- and post-hiring leadership development |
| CN110059923A (en) * | 2019-03-13 | 2019-07-26 | 平安科技（深圳）有限公司 | Matching process, device, equipment and the storage medium of post portrait and biographic information |
| CN110162754A (en) * | 2019-04-11 | 2019-08-23 | 平安科技（深圳）有限公司 | A kind of post describes the generation method and equipment of document |
-
2019
- 2019-11-18 CN CN201911129825.2A patent/CN110991988A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105069606A (en) * | 2015-07-30 | 2015-11-18 | 深圳市软维科技有限公司 | Method and apparatus for obtaining competence of job seeker for applied position |
| US20190130512A1 (en) * | 2017-10-27 | 2019-05-02 | Larry Kuhn | System and method for pre- and post-hiring leadership development |
| CN109327533A (en) * | 2018-11-06 | 2019-02-12 | 深圳市东宝信息技术有限公司 | A kind of the resume data push method and system of task based access control mechanism |
| CN110059923A (en) * | 2019-03-13 | 2019-07-26 | 平安科技（深圳）有限公司 | Matching process, device, equipment and the storage medium of post portrait and biographic information |
| CN110162754A (en) * | 2019-04-11 | 2019-08-23 | 平安科技（深圳）有限公司 | A kind of post describes the generation method and equipment of document |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111815258A (en) * | 2020-06-01 | 2020-10-23 | 五八到家有限公司 | Human resource matching method, device, equipment and storage medium |
| CN111984784A (en) * | 2020-07-17 | 2020-11-24 | 北京嘀嘀无限科技发展有限公司 | Method and device for matching human posts, electronic equipment and storage medium |
| CN111984784B (en) * | 2020-07-17 | 2024-03-12 | 北京嘀嘀无限科技发展有限公司 | Person post matching method, device, electronic equipment and storage medium |
| US20220215196A1 (en) * | 2021-01-04 | 2022-07-07 | Atos It Solutions And Services, Inc. | Devices, systems and methods for assessing a match between job descriptions and resumes |
| US12033416B2 (en) * | 2021-01-04 | 2024-07-09 | Atos France | Devices, systems and methods for assessing a match between job descriptions and resumes |
| CN113032443A (en) * | 2021-03-31 | 2021-06-25 | 北京百度网讯科技有限公司 | Method, apparatus, device and computer-readable storage medium for processing data |
| CN113032443B (en) * | 2021-03-31 | 2023-09-01 | 北京百度网讯科技有限公司 | Method, apparatus, device and computer readable storage medium for processing data |
| CN113298495A (en) * | 2021-05-27 | 2021-08-24 | 中国科学院深圳先进技术研究院 | Resume screening method, resume screening device, terminal device and storage medium |
| CN114662993A (en) * | 2022-05-18 | 2022-06-24 | 广东电网有限责任公司肇庆供电局 | Post recommendation method, system and equipment |
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