CN112541329A - Resume creating method and device and electronic equipment - Google Patents
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Abstract
The resume creating method is disclosed, and the description information of the recruitment post input by a recruiter is received; acquiring historical recruitment data corresponding to the recruitment post from the historical recruitment data; performing data analysis on the description information of the recruitment position and the historical recruitment data, and determining an occupation condition corresponding to the recruitment position; and outputting prompt information corresponding to the job-leaving condition to the applicant through a resume creation interface so as to guide the applicant to create a job-seeking resume, reduce the asymmetry of the information of the recruiter and the applicant on the recruiting position, improve the post matching degree and further improve the recruitment efficiency.
Description
Technical Field
One or more embodiments of the present application relate to the technical field of computer applications, and in particular, to a resume creating method, apparatus, and electronic device.
Background
The basic process of recruitment is that a company with post requirements publishes position information through a website and a recruitment platform; after the applicant sees the position information through various channels, the resume is written and delivered according to the actual condition of the applicant. The HR (Human Resource advisor) of the recruiting enterprise decides whether to contact the applicant and conduct an interview according to the resume of the applicant. Therefore, the resume is a key document for displaying the information of the applicant, and the creation of a resume capable of displaying the information of the applicant and drawing the attention of the recruitment enterprise HR is the first step of interviewing, and the HR also hopes to screen suitable people through a clear resume.
Disclosure of Invention
The application provides a resume creating method, which is applied to a human resource management system and comprises the following steps:
receiving description information of the recruitment post input by a recruiter;
acquiring historical recruitment data corresponding to the recruitment post from the historical recruitment data;
performing data analysis on the description information of the recruitment position and the historical recruitment data, and determining an occupation condition corresponding to the recruitment position;
and outputting prompt information corresponding to the job-leaving condition to the applicant through a resume creating interface so as to guide the applicant to create a job-seeking resume.
Optionally, the description information of the recruitment post further includes industry information to which the recruitment post belongs;
the obtaining of the historical recruitment data corresponding to the recruitment post from the historical recruitment data comprises:
screening out historical recruitment data matched with the industry information to which the recruitment post belongs from the historical recruitment data;
and further acquiring historical recruitment data corresponding to the recruitment post from the screened historical recruitment data.
Optionally, before performing data analysis on the description information of the recruitment position and the historical recruitment data, the method further includes:
and desensitizing privacy data related to enterprises in the historical recruitment data.
Optionally, the historical recruitment data comprises historical description information of the recruiting position;
the analyzing the description information of the recruitment position and the historical recruitment data to determine the employment condition corresponding to the recruitment position comprises the following steps:
and performing semantic analysis on the description information of the recruiting position input by the recruiter and the historical description information corresponding to the recruiting position in the historical recruiting data to obtain a plurality of keywords indicating the job condition of the recruiting position, and generating a keyword set serving as the job condition based on the obtained keywords.
Optionally, the historical recruitment data further comprises historical resume data corresponding to the recruitment post;
the analyzing the description information of the recruiting position and the historical recruiting data to determine the job-holding condition corresponding to the recruiting position further comprises:
and performing data mining on resume contents in the historical resume data to obtain a plurality of keywords indicating the occupational conditions of the recruitment posts, and adding the obtained keywords to the keyword set.
Optionally, before performing data mining on the resume content in the historical resume data, the method further includes:
storing resume contents in the historical resume data in a key-value key value pair mode;
and merging the data of the resume contents with similar semantics to obtain merged resume contents.
Optionally, the data mining of the resume content in the historical resume data to obtain a plurality of keywords indicating the employment condition of the recruiting post includes:
performing clustering analysis on resume contents in the historical resume data to obtain a plurality of clustering labels, and adding the clustering labels to the keyword set;
and performing statistical analysis on resume contents in the historical resume data to obtain a plurality of high-frequency keywords indicating resume characteristics, and adding the high-frequency keywords to the keyword set.
Optionally, the post assignment condition includes any one or a combination of a plurality of conditions of a post assignment exclusion condition, a post assignment requirement condition, and a post assignment preference condition.
Optionally, the outputting, to the applicant through the resume creation interface, prompt information corresponding to the job-undertaking condition to guide the applicant to create the job-seeking resume includes:
checking the device type of the resume creation interface accessed by the applicant;
if the equipment type is a mobile terminal, outputting prompt information corresponding to the job-seeking condition to the applicant based on a human-computer interaction interface so as to guide the applicant to fill in a job-seeking resume;
otherwise, outputting prompt information corresponding to the job-seeking condition to the applicant based on a page form mode so as to guide the applicant to fill in the job-seeking resume.
Optionally, after acquiring the job-hunting resume of the applicant, the method further includes:
performing matching evaluation on job hunting resumes of the applicants on the basis of the optimal job-taking conditions preset corresponding to the recruiting positions;
and performing sorting on the job hunting resumes after matching and scoring, and displaying the job hunting resumes to the recruiter so as to guide the recruiter to screen the resumes.
The present application further provides a resume creating apparatus, which is applied to a human resource management system, the apparatus comprising:
the receiving module is used for receiving the description information of the recruitment post input by the recruiter;
the analysis module is used for acquiring historical recruitment data corresponding to the recruitment post from the historical recruitment data;
the analysis module is further used for carrying out data analysis on the description information of the recruitment position and the historical recruitment data to determine an employment condition corresponding to the recruitment position;
and the creation module outputs prompt information corresponding to the job-leaving condition to the applicant through a resume creation interface so as to guide the applicant to create a job-seeking resume.
Optionally, the description information of the recruitment post further includes industry information to which the recruitment post belongs;
the analysis module further:
screening out historical recruitment data matched with the industry information to which the recruitment post belongs from the historical recruitment data;
and further acquiring historical recruitment data corresponding to the recruitment post from the screened historical recruitment data.
Optionally, before performing data analysis on the description information of the recruitment position and the historical recruitment data, the analysis module further:
and desensitizing privacy data related to enterprises in the historical recruitment data.
Optionally, the historical recruitment data comprises historical description information of the recruiting position;
the analysis module further:
and performing semantic analysis on the description information of the recruiting position input by the recruiter and the historical description information corresponding to the recruiting position in the historical recruiting data to obtain a plurality of keywords indicating the job condition of the recruiting position, and generating a keyword set serving as the job condition based on the obtained keywords.
Optionally, the historical recruitment data further comprises historical resume data corresponding to the recruitment post;
the analysis module further:
and performing data mining on resume contents in the historical resume data to obtain a plurality of keywords indicating the occupational conditions of the recruitment posts, and adding the obtained keywords to the keyword set.
Optionally, before performing data mining on the resume content in the historical resume data, the analysis module further:
storing resume contents in the historical resume data in a key-value key value pair mode;
and merging the data of the resume contents with similar semantics to obtain merged resume contents.
Optionally, the analysis module further:
performing clustering analysis on resume contents in the historical resume data to obtain a plurality of clustering labels, and adding the clustering labels to the keyword set;
and performing statistical analysis on resume contents in the historical resume data to obtain a plurality of high-frequency keywords indicating resume characteristics, and adding the high-frequency keywords to the keyword set.
Optionally, the post assignment condition includes any one or a combination of a plurality of conditions of a post assignment exclusion condition, a post assignment requirement condition, and a post assignment preference condition.
Optionally, the creating module further:
checking the device type of the resume creation interface accessed by the applicant;
if the equipment type is a mobile terminal, outputting prompt information corresponding to the job-seeking condition to the applicant based on a human-computer interaction interface so as to guide the applicant to fill in a job-seeking resume;
otherwise, outputting prompt information corresponding to the job-seeking condition to the applicant based on a page form mode so as to guide the applicant to fill in the job-seeking resume.
Optionally, after acquiring the job-hunting resume of the applicant, the method further includes:
the evaluation module executes matching scoring on the job hunting resume of the applicant based on the preset optimal job-taking condition corresponding to the recruitment post;
and performing sorting on the job hunting resumes after matching and scoring, and displaying the job hunting resumes to the recruiter so as to guide the recruiter to screen the resumes.
The application also provides an electronic device, which comprises a communication interface, a processor, a memory and a bus, wherein the communication interface, the processor and the memory are mutually connected through the bus;
the memory stores machine-readable instructions, and the processor executes the method by calling the machine-readable instructions.
Through the embodiment, the employment condition corresponding to the recruiting post is obtained based on big data analysis; and guiding the applicant to create the resume corresponding to the job-taking condition, thereby reducing the asymmetry of the information of the recruiter and the applicant on the recruiting position, improving the post matching degree and further improving the recruitment efficiency.
Drawings
Fig. 1 is a schematic illustration of a recruitment procedure provided by an exemplary embodiment;
FIG. 2 is a flow diagram of a resume creation method provided by an exemplary embodiment;
fig. 3 is a schematic illustration of another recruitment procedure provided by an exemplary embodiment;
FIG. 4 is a hardware block diagram of an electronic device provided by an exemplary embodiment;
fig. 5 is a block diagram of a resume creation apparatus according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "in response to a determination", depending on the context.
In order to make those skilled in the art better understand the technical solutions in the embodiments of the present application, the following briefly describes the related technologies related to the embodiments of the present application.
In order to enable those skilled in the art to better understand the technical solution in the embodiment of the present specification, the following briefly describes the related art of resume creation related to the embodiment of the present specification.
Referring to fig. 1, fig. 1 is a schematic diagram of a recruitment procedure according to an embodiment of the present disclosure.
As shown in fig. 1, the conventional recruitment procedure mainly includes four steps: 101. issuing a post description, 102, acquiring the post description, 103, delivering a resume, 104, and manually screening; wherein, the steps 101 and 104 are executed by the recruiter, and the steps 102 and 103 are executed by the applicant.
In some scenarios, as shown in fig. 1, in the existing recruitment procedure, a recruiter publishes a post description of a post to be recruited through various recruitment platforms and recruitment channels; acquiring the post description of the recruiting position by an applicant through various recruitment platforms and recruitment channels, and delivering a resume for the recruiting position by the applicant after the applicant determines that the recruiting position is the post the recruiting position; the recruiter periodically or intensively acquires the resume delivered by a plurality of applicants corresponding to the recruiting position for manual screening, selects a plurality of resumes meeting the corresponding job-taking conditions of the recruiting position, and further reserves the stroke test and the interview, thereby completing the recruitment of the position. Based on the above scenes, the existing recruitment process has the following problems, including:
1. the job condition description of the post description of the recruitment post is not complete, and the best matched person cannot be recruited.
2. The applicant does not accurately understand the post description and pertinently modify the resume, and the resume is delivered only based on the common template, so that the pertinence of the delivered resume is not strong.
3. The recruitment policy manually refers to and screens resumes in various formats of a plurality of applicants, which is time-consuming, labor-consuming and low in efficiency.
The specification aims to provide a method for obtaining the corresponding condition of the job of the recruitment post based on big data analysis; and guiding the applicant to create a technical scheme of the resume corresponding to the job-taking condition.
When the recruitment post is realized, the human resource management system receives the description information of the recruitment post input by the recruiter; acquiring historical recruitment data corresponding to the recruitment post from the historical recruitment data; performing data analysis on the description information of the recruitment position and the historical recruitment data, and determining an occupation condition corresponding to the recruitment position; and outputting prompt information corresponding to the job-leaving condition to the applicant through a resume creating interface so as to guide the applicant to create a job-seeking resume.
In the technical scheme, the employment condition corresponding to the recruitment post is obtained based on big data analysis; and guiding the applicant to create the resume corresponding to the job-taking condition, thereby reducing the asymmetry of the information of the recruiter and the applicant on the recruiting position, improving the post matching degree and further improving the recruitment efficiency.
The present specification is described below with reference to specific embodiments and specific application scenarios.
Referring to fig. 2, fig. 2 is a flowchart of a resume creation method applied to a human resources management system according to an embodiment of the present disclosure, where the method performs the following steps:
and 202, receiving the description information of the recruiting position input by the recruiter.
And 204, acquiring historical recruitment data corresponding to the recruitment post from the historical recruitment data.
And step 206, performing data analysis on the description information of the recruiting position and the historical recruiting data, and determining the occupation condition corresponding to the recruiting position.
And step 208, outputting prompt information corresponding to the job-leaving condition to the applicant through the resume creation interface so as to guide the applicant to create a job-seeking resume.
In this specification, the human resource management system may include any form of human resource management platform that provides post recruitment services for recruiters and applicants.
For example, in practical applications, the Human Resource management system may be a recruitment website, a recruitment WeChat public number, or a SaaS (Software as a Service) platform based on HR (Human Resource) Service.
In this specification, the recruiting position may include any position issued by the recruiter for any industry of recruiters.
For example, in practical applications, the recruitment position may be a sales manager position in the pharmaceutical industry or a research and development technology position in the IT industry.
In this specification, the Description information of the recruiting position refers to a specific position Description of the recruiting position, that is, a JD (Job Description).
For example, in practical applications, the description information of the recruiting position may include a name of the recruiting position, job function, job condition, skill required for job, and the like.
In this specification, the human resources management system receives the description information of the recruiting position input by the recruiter.
For example, in practical applications, the human resource management system may provide a background management right for the HR recruitment specialist for recruitment management, and the HR recruitment specialist logs in the human resource management system through the background management right and inputs description information for planning a recruitment post through a management interface provided by the human resource management system.
In the present specification, after obtaining the descriptive information of the recruiting position, the human resource management system obtains the historical recruiting data corresponding to the recruiting position from the historical recruiting data.
For example, the human resource management system acquires historical recruitment data corresponding to a sales manager post from the historical recruitment data by using the descriptive information of the recruitment post as the descriptive information of the sales manager post.
In one embodiment, the description information of the recruiting position further includes industry information to which the recruiting position belongs, and the human resource management system screens out historical recruitment data matching the industry information to which the recruiting position belongs from the historical recruitment data in the process of acquiring the historical recruitment data corresponding to the recruiting position from the historical recruitment data.
Continuing the example from the above example, the descriptive information for the recruiting position further includes industry information to which the recruiting position belongs, such as: the industry information is the pharmaceutical industry, and the human resource management system screens out historical recruitment data which are matched with a plurality of types of recruitment positions in the pharmaceutical industry from the historical recruitment data.
In this specification, the historical recruitment data corresponding to the recruitment post is simply referred to as the historical recruitment data; and the historical recruitment data is historical recruitment data of the same post in the same industry corresponding to the recruitment post.
Continuing the example above, the historical recruitment data can be historical recruitment data for sales managers' posts of different companies in the pharmaceutical industry.
It should be noted that the human resource management system provides various post recruitment services for different companies, and the services of different companies are isolated, but the human resource management system can obtain a large amount of historical recruitment data of different companies in the same industry at the background.
In this specification, the human resource management system further acquires the historical recruitment data from the selected historical recruitment data.
Continuing the example from the above example, after the screened historical recruitment data including a plurality of types of recruitment positions matched with the pharmaceutical industry, the human resource management system further obtains the historical recruitment data corresponding to the sales manager position.
In this specification, after the historical recruitment data is acquired, the human resource management system performs data analysis on the description information of the recruitment position and the historical recruitment data to determine an occupation condition corresponding to the recruitment position.
By continuing the example from the above example, after obtaining the historical recruitment data of the sales manager posts of different companies in the pharmaceutical industry, the human resource management system performs data analysis on the description information of the sales manager posts and the historical recruitment data to determine the job taking conditions corresponding to the sales manager posts in the pharmaceutical industry.
In one illustrated embodiment, the human resource management system desensitizes enterprise-related private data in the historical recruitment data prior to analyzing the data for the recruitment position descriptive information and the historical recruitment data.
Continuing with the above example, after obtaining historical recruitment data for sales managers of different companies in the pharmaceutical industry, the human resources management system applies privacy data associated with the enterprise in the historical recruitment data, such as: and desensitizing treatment in modes of data deletion or deformation and the like is performed on the information such as enterprise names, industrial and commercial registration information, private contact ways of recruiters and applicants, identity documents and the like.
In this specification, after the desensitization process is performed on the historical recruitment data, the human resource management system performs data analysis on the description information of the recruitment position and the historical recruitment data.
In one illustrated embodiment, the historical recruitment data includes historical descriptive information for the recruiting post.
Continuing the example above, the historical recruitment data may include historical descriptive information for sales managers' posts for different companies in the pharmaceutical industry, such as: the historical recruitment data A comprises historical post description information D1 of HR specially-assigned member to a sales manager post of the pharmaceutical industry and historical post description information D2 of HR specially-assigned member of the B company to the sales manager post of the pharmaceutical industry; that is, the above-mentioned historical recruitment data includes D1 and D2.
In the present specification, further, in the process of determining the occupation condition corresponding to the recruiting position, the human resource management system performs semantic analysis on the descriptive information of the recruiting position input by the recruiter and the historical descriptive information corresponding to the recruiting position in the historical recruitment data to obtain a plurality of keywords indicating the occupation condition of the recruiting position, and generates a keyword set as the occupation condition based on the obtained keywords.
Continuing the example from the above example, the description information of the recruiting position includes the position description information D0 of the sales manager position of the pharmaceutical industry, and the human resource management system performs semantic analysis on the description information of the recruiting position (D0) and the history description information (D1, D2) corresponding to the recruiting position in the history recruitment data to obtain keywords indicating the job condition of the recruiting position (the sales manager position of the pharmaceutical industry), such as: keyword 1: "medical professional graduation", keyword 2: "medical subject or medical master", keyword 3: "marketing 5 years experience", keyword N: ".."; the human resource management system stores the plurality of keywords as set elements in a keyword set KS indicating correspondence to the recruitment position (sales manager position in the pharmaceutical industry), that is, KS ═ key word 1, key word 2, key word 3, and key word N.
In one illustrated embodiment, the historical recruitment data includes historical resume data corresponding to the recruiting position in addition to the historical descriptive information for the recruiting position.
Continuing the example from the above example, the historical recruitment data includes, in addition to the historical description information of the sales manager posts of different companies in the pharmaceutical industry, historical resume data corresponding to the sales manager posts in the pharmaceutical industry, such as: the historical resume data may be a number of resumes delivered to the sales manager of the pharmaceutical industry.
For convenience of description, the keyword set of the aforementioned occupational terms is hereinafter referred to simply as the aforementioned keyword set; and the historical resume data corresponding to the recruitment post is referred to as the historical resume data for short in the following. It should be noted that the data format of the history resume data may be a document format such as WORD, PPT, PDF, etc., or a PNG picture format or other data format, and is not particularly limited in this specification.
In this specification, further, in the process of determining the job eligibility condition corresponding to the recruiting position, the human resource management system may further perform data mining on resume contents in the historical resume data to obtain a plurality of keywords indicating the job eligibility condition of the recruiting position, and add the obtained keywords to the keyword set.
Continuing the example from the above example, the human resources management system may further perform data mining on resume contents of resumes delivered to a sales manager post of the pharmaceutical industry to obtain keywords indicating the employment conditions of the recruiting post, such as: keyword 11: "major sales manager", keyword 22: "sales amount reaches X ten thousand yuan", keyword 33: "market gold medal team", keyword NN: ".." and adding the resulting keyword to the set of keywords KS, i.e. KS ═ keyword 11, keyword 22, keyword 33, keyword NN, keyword 1, keyword 2, keyword 3, keyword N }.
In an embodiment, before data mining is performed on resume contents in the historical resume data, the human resource management system saves the resume contents in the historical resume data in a key-value key value pair mode.
Continuing the example from the above example, the human resource management system performs data structuring on the resume contents in the history resume data in a key-value key value pair manner, and stores the resume contents in the history resume data in a plurality of key-value key value pairs, such as: "study calendar: this department "," study calendar: university "," academic calendar: master "," study history: student ".
In this specification, further, the human resource management system merges data of resume contents with similar semantics to obtain merged resume contents.
Continuing the example from the above example, the human resources management system determines resume contents with similar semantics through a semantic analysis algorithm, such as: the "subject" and the "university" have similar semantics, and the "master" and the "researcher" have similar semantics, and then merge the resume contents with similar semantics to obtain merged resume contents, that is, the merged resume contents may include several key-value key value pairs with similar semantics.
In an embodiment shown in the above, in the process of mining resume contents in the historical resume data to obtain the keywords indicating the employment conditions of the recruiting positions, the human resource management system performs cluster analysis on the resume contents in the historical resume data to obtain cluster labels, and adds the cluster labels to the keyword set.
Continuing the example from the above example, the human resources management system described above may be based on a clustering algorithm, such as: performing clustering analysis on resume contents (a plurality of key-value key pairs processed after structuring and merging) in the historical resume data to obtain a plurality of clustering labels, wherein the clustering labels can comprise a label 1, a label 2 and a label 3; wherein, label 1 indicates "having several resumes of" this subject "academic record", label 2 indicates "having several resumes of" Master "academic record", and label 3 indicates "having several resumes of" 5 years of marketing in pharmaceutical industry "; the human resource management system adds the clustering labels to the keyword set; that is, KS ═ tag 1, tag 2, tag 3, keyword 11, keyword 22, keyword 33, keyword NN, keyword 1, keyword 2, keyword 3, keyword N }.
It should be noted that, in addition to the automatically obtained clustering labels, manual labels corresponding to resume contents in the historical resume data by the recruiter may be added to the keyword set. Such as: the manual annotation may include "experience rich in the project," "sales performance outstanding," and the like.
In this specification, the human resources management system further performs statistical analysis on resume contents in the historical resume data to obtain a plurality of high-frequency keywords indicating resume features, and adds the high-frequency keywords to the keyword set.
Continuing the example from the above example, the human resources management system may perform statistical analysis on the resume content in the historical resume data, such as statistically analyzing a plurality of resumes entered into the interview through resume screening; and, a number of resumes that do not pass the resume screening; by counting the frequency of the occurrence of the keywords corresponding to the resume contents of the two types of resumes in the two types of resumes, a plurality of high-frequency keywords corresponding to the two types of resumes can be obtained, for example, the high-frequency keywords corresponding to the resumes which enter the interview by filtering the resumes include: high-frequency keyword 1: "department of 985", high-frequency keyword 2: "institution 211", high-frequency keyword 3: "500 strong", the plurality of high frequency keywords corresponding to the resume that is not screened by the resume include: high-frequency keyword 11: "code development", high-frequency keyword 22: "programming", and the like. After indicating a number of high frequency keywords for the resume feature, the human resources management system adds the high frequency keywords to the set of keywords.
In this specification, the job eligibility condition refers to a job eligibility condition corresponding to the recruiting position.
In one embodiment, the post assignment condition may include any one or a combination of conditions of post assignment exclusion, post assignment requirement, and post assignment preference;
wherein the requisite condition for job assignment of the post refers to a requisite condition for engaging in the recruiting post corresponding to the recruiter resume; the post occupation eliminating condition refers to a corresponding eliminating condition that the recruiter corresponding to the recruiting post can not engage in the recruiting post in the resume; the post job assignment preference condition refers to a scoring condition for engaging in the recruiting post corresponding to the corresponding applicant resume in the recruiter resume.
Continuing the example above, the post job requirements may include "pharmaceutical industry", "family", "5 year marketing experience", etc.; the post occupation exclusion conditions may include "age over 50 years", "living abroad", and the like; the above post job preference conditions may include "500 strong medicine enterprises" and the like.
In this specification, after the appointments are determined, the human resource management system may issue the description information of the recruiting positions to the outside based on the setup of the recruiter.
Continuing with the above example, in practical applications, the human resource management system may be released externally through itself, or may be docked with a third-party recruitment platform, such as: and (4) directly hiring the BOSS, 51Job, hunting network and the like, and externally releasing the recruitment post.
In the specification, after the applicant obtains the description information of the recruitment position through the application interface provided by the human resource management system, the applicant can select whether to deliver the resume to the recruitment position.
In the present specification, when the applicant decides to post the resume to the recruiting position, the human resource management system outputs a prompt message corresponding to the job-seeking condition to the applicant through the resume creation interface to guide the applicant to create the job-seeking resume.
In one embodiment shown, in the process of guiding the applicant to create the job resume, the human resource management system checks the type of equipment of the applicant accessing the resume creation interface; if the equipment type is a mobile terminal, outputting prompt information corresponding to the job-seeking condition to the applicant based on a human-computer interaction interface so as to guide the applicant to fill in a job-seeking resume; otherwise, outputting prompt information corresponding to the job-seeking condition to the applicant based on a page form mode so as to guide the applicant to fill in the job-seeking resume.
Continuing the example from the above example, the applicant can access the human resource management system based on a mobile terminal such as a mobile phone or a computer, and the human resource management system checks the device type of the resume creation interface accessed by the applicant, and if the device type is the mobile terminal, outputs prompt information corresponding to the job leaving condition to the applicant based on a human-computer interaction interface so as to guide the applicant to fill in the job hunting resume; otherwise, outputting prompt information corresponding to the job-seeking condition to the applicant based on a page form mode so as to guide the applicant to fill in the job-seeking resume.
The prompt information output by the human resource management system and corresponding to the job-holding condition may include prompt information of any one or a combination of a plurality of conditions of the job-holding exclusion condition, the job-holding requirement condition, and the job-holding preference condition in the job-holding condition, for example, the prompt information may include "the academic requirement is the subject and above", "at least the working experience of 5 years and above in medicine enterprise market sale", and the like.
In this specification, the applicant can complete the brief creation of the recruitment post by inputting the prompt information corresponding to the recruitment condition based on the human resource management system and the actual situation of the applicant.
Of course, besides creating a brand-new job hunting resume based on the guidance of the applicant, the human resource management system can also collect the existing resume of the applicant at first, and create a format conversion resume generating a plurality of field information corresponding to the requirements of the job-hunting conditions after performing text recognition and data extraction on the existing resume; the applicant can further output prompt information corresponding to the job-seeking condition to the applicant through a resume creation interface according to the human resource management system on the basis of the format conversion resume so as to guide the applicant to continue to complete job-seeking resume creation.
In the present specification, after the applicant completes the resume creation of the recruiting post, the resume is sent to the human resources management system.
In an illustrated embodiment, after receiving a plurality of recruiter resumes for the recruiting position, the human resource management system performs matching scoring on the job hunting resumes of the recruiters based on a preset optimal job condition corresponding to the recruiting position; and performing sorting on the job hunting resumes after matching and scoring, and displaying the job hunting resumes to the recruiter so as to guide the recruiter to screen the resumes.
Continuing to illustrate by the example, after receiving a plurality of resumes of the recruiters of the sales manager of the applicable medicine industry, the human resource management system executes matching scoring on the job seeking resumes of the recruiters based on the preset optimal job conditions (such as that the academic requirement is that the resume is the same as or above, at least the work experience of 5 years or above in the drug enterprise market, 500 hundred powerful drug enterprises and the large district manager) of the recruiters (such as that the resume meeting the job-seeking requirement of the post is given 60 points, the resume meeting the job-seeking exclusion condition is given 30 points and the resume meeting the job-priority condition is given 30 points); the human resource management system performs sorting on the job hunting resumes after matching and scoring and displays the job hunting resumes to the recruiter so as to guide the recruiter to screen the resumes.
For a general understanding of the present invention, please refer to fig. 3, and fig. 3 is a schematic diagram of a recruitment procedure according to an embodiment of the present disclosure.
As shown in fig. 3, the recruitment procedure of the present invention mainly comprises eight steps: 301. inputting a post description 302, determining to release the post description 303 based on big data, acquiring the post description 304, and guiding a user to create a resume corresponding to the post description; 305. delivering the resume; 306. resume analysis and data mining; 307. scoring and sorting the resumes; 308, manual screening; wherein, the steps 301 and 308 are executed by the recruiter, and the steps 303 and 304 are executed by the applicant.
Referring to fig. 3 and fig. 1, on one hand, compared with fig. 1, in fig. 3, the job undertaking conditions of the post description of the recruiting position are extracted through big data analysis, so that the problems that the job undertaking conditions of the post description of the recruiting position issued by the recruiting party are not described fully and the best matched person cannot be recruited are solved; on the other hand, the recruitment condition of the post description of the recruiting post, which is provided by the recruiter, guides the applicant to effectively deliver and create the resume, and avoids the situation that the applicant understands that there is a mistake; and the information of the applicant and the recruiter is asymmetric; the post matching degree is improved, and the recruitment efficiency is improved; on the other hand, by scoring and sequencing recommendation of the resume, manual searching and screening of all resume contents of the recruiter are reduced, and recruitment efficiency is improved.
In the technical scheme, the employment condition corresponding to the recruitment post is obtained based on big data analysis; and guiding the applicant to create the resume corresponding to the job-taking condition, thereby reducing the asymmetry of the information of the recruiter and the applicant on the recruiting position, improving the post matching degree and further improving the recruitment efficiency.
Corresponding to the embodiment of the method, the application also provides an embodiment of a resume creating device.
Corresponding to the method embodiment, the present specification also provides an embodiment of a resume creating apparatus. Embodiments of the resume creating apparatus of the present specification may be applied to an electronic device. The device embodiments may be implemented by software, or by hardware, or by a combination of hardware and software. Taking software implementation as an example, as a logical device, the device is formed by reading corresponding computer program instructions in the nonvolatile memory into the memory for operation through the processor of the electronic device where the device is located. From a hardware layer, as shown in fig. 4, a hardware structure diagram of an electronic device in which a resume creating apparatus of this specification is located is shown in fig. 4, except for the processor, the memory, the network interface, and the nonvolatile memory shown in fig. 4, the electronic device in which the apparatus is located in the embodiment may also include other hardware according to an actual function of the electronic device, which is not described again.
Fig. 5 is a block diagram of a resume creation apparatus shown in an exemplary embodiment of the present specification.
Referring to fig. 5, the resume creation apparatus 50 can be applied to the electronic device shown in fig. 4, and the apparatus is applied to a human resources management system, and the apparatus includes:
the receiving module 501 is used for receiving the description information of the recruiting post input by the recruiter;
the analysis module 502 is used for acquiring historical recruitment data corresponding to the recruitment post from the historical recruitment data;
the analysis module 502 further performs data analysis on the description information of the recruiting position and the historical recruitment data to determine an employment condition corresponding to the recruiting position;
the creating module 503 outputs prompt information corresponding to the job-leaving condition to the applicant through the resume creating interface so as to guide the applicant to create a job-seeking resume.
In this embodiment, the description information of the recruiting position further includes the industry information to which the recruiting position belongs;
the analysis module 502 further:
screening out historical recruitment data matched with the industry information to which the recruitment post belongs from the historical recruitment data;
and further acquiring historical recruitment data corresponding to the recruitment post from the screened historical recruitment data.
In this embodiment, before performing the data analysis on the description information of the recruiting position and the historical recruitment data, the analysis module 502 further:
and desensitizing privacy data related to enterprises in the historical recruitment data.
In this embodiment, the historical recruitment data includes historical descriptive information for the recruiting post;
the analysis module 502 further:
and performing semantic analysis on the description information of the recruitment position input by the recruiter and the historical description information corresponding to the recruitment position in the historical recruitment data to obtain a plurality of keywords indicating the job condition of the recruitment position, and generating a keyword set serving as the job condition based on the obtained keywords.
In this embodiment, the historical recruitment data further includes historical profile data corresponding to the recruitment post;
the analysis module 502 further:
and performing data mining on resume contents in the historical resume data to obtain a plurality of keywords indicating the occupational conditions of the recruitment posts, and adding the obtained keywords to the keyword set.
In this embodiment, before performing data mining on the resume content in the historical resume data, the analysis module 502 further:
storing resume contents in the historical resume data in a key-value key value pair mode;
and merging the data of the resume contents with similar semantics to obtain merged resume contents.
In this embodiment, the analysis module 502 further:
performing clustering analysis on resume contents in the historical resume data to obtain a plurality of clustering labels, and adding the clustering labels to the keyword set;
and performing statistical analysis on resume contents in the historical resume data to obtain a plurality of high-frequency keywords indicating resume characteristics, and adding the high-frequency keywords to the keyword set.
In this embodiment, the post occupation condition includes any one or a combination of a plurality of conditions among a post occupation exclusion condition, a post occupation necessary condition, and a post occupation preference condition.
In this embodiment, the creating module 503 further:
checking the device type of the resume creation interface accessed by the applicant;
if the equipment type is a mobile terminal, outputting prompt information corresponding to the job-seeking condition to the applicant based on a human-computer interaction interface so as to guide the applicant to fill in a job-seeking resume;
otherwise, outputting prompt information corresponding to the job-seeking condition to the applicant based on a page form mode so as to guide the applicant to fill in the job-seeking resume.
In this embodiment, after acquiring the job resume of the applicant, the method further includes:
the evaluation module 504 is used for executing matching scoring on the job application resume of the applicant based on the preset optimal job application condition corresponding to the recruitment post;
and performing sorting on the job hunting resumes after matching and scoring, and displaying the job hunting resumes to the recruiter so as to guide the recruiter to screen the resumes.
For the device embodiments, since they correspond basically to the method embodiments, the relevant points may be referred to the partial description of the method embodiments. The above-described embodiments of the apparatus are merely illustrative, wherein the modules described as separate parts may or may not be physically separate, and the parts shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
The apparatuses, modules or modules illustrated in the above embodiments may be implemented by a computer chip or an entity, or by an article with certain functions. A typical implementation device is a computer, which may take the form of a personal computer, laptop computer, cellular telephone, camera phone, smart phone, personal digital assistant, media player, navigation device, email messaging device, game console, tablet computer, wearable device, or a combination of any of these devices.
Corresponding to the method embodiment, the present specification also provides an embodiment of an electronic device. The electronic equipment can be applied to a human resource management system; the electronic device includes: a processor and a memory for storing machine executable instructions; wherein the processor and the memory are typically interconnected by an internal bus. In other possible implementations, the device may also include an external interface to enable communication with other devices or components.
In this embodiment, the processor is caused to, by reading and executing machine executable instructions stored by the memory corresponding to control logic for resume creation:
receiving description information of the recruitment post input by a recruiter;
acquiring historical recruitment data corresponding to the recruitment post from the historical recruitment data;
performing data analysis on the description information of the recruitment position and the historical recruitment data, and determining an occupation condition corresponding to the recruitment position;
and outputting prompt information corresponding to the job-leaving condition to the applicant through a resume creating interface so as to guide the applicant to create a job-seeking resume.
In this embodiment, the description information of the recruiting position further includes the industry information to which the recruiting position belongs; by reading and executing machine-executable instructions stored by the memory that correspond to control logic for resume creation, the processor is caused to:
screening out historical recruitment data matched with the industry information to which the recruitment post belongs from the historical recruitment data;
and further acquiring historical recruitment data corresponding to the recruitment post from the screened historical recruitment data.
In this embodiment, prior to performing the data analysis of the recruiting position description information and the historical recruiting data, the processor is caused to, by reading and executing the memory-stored machine-executable instructions corresponding to the resume created control logic:
and desensitizing privacy data related to enterprises in the historical recruitment data.
In this embodiment, the historical recruitment data includes historical descriptive information for the recruiting post; by reading and executing machine-executable instructions stored by the memory that correspond to control logic for resume creation, the processor is caused to:
and performing semantic analysis on the description information of the recruitment position input by the recruiter and the historical description information corresponding to the recruitment position in the historical recruitment data to obtain a plurality of keywords indicating the job condition of the recruitment position, and generating a keyword set serving as the job condition based on the obtained keywords.
In this embodiment, the historical recruitment data further includes historical profile data corresponding to the recruitment post; by reading and executing machine-executable instructions stored by the memory that correspond to control logic for resume creation, the processor is caused to:
and performing data mining on resume contents in the historical resume data to obtain a plurality of keywords indicating the occupational conditions of the recruitment posts, and adding the obtained keywords to the keyword set.
In this embodiment, prior to data mining the resume content in the historical resume data, the processor is caused to, by reading and executing machine executable instructions stored by the memory corresponding to control logic of resume creation:
storing resume contents in the historical resume data in a key-value key value pair mode;
and merging the data of the resume contents with similar semantics to obtain merged resume contents.
In this embodiment, the processor is caused to, by reading and executing machine executable instructions stored by the memory corresponding to control logic for resume creation:
performing clustering analysis on resume contents in the historical resume data to obtain a plurality of clustering labels, and adding the clustering labels to the keyword set;
and performing statistical analysis on resume contents in the historical resume data to obtain a plurality of high-frequency keywords indicating resume characteristics, and adding the high-frequency keywords to the keyword set.
In this embodiment, the post occupation condition includes any one or a combination of a plurality of conditions among a post occupation exclusion condition, a post occupation necessary condition, and a post occupation preference condition.
In this embodiment, the processor is caused to, by reading and executing machine executable instructions stored by the memory corresponding to control logic for resume creation:
checking the device type of the resume creation interface accessed by the applicant;
if the equipment type is a mobile terminal, outputting prompt information corresponding to the job-seeking condition to the applicant based on a human-computer interaction interface so as to guide the applicant to fill in a job-seeking resume;
otherwise, outputting prompt information corresponding to the job-seeking condition to the applicant based on a page form mode so as to guide the applicant to fill in the job-seeking resume.
In this embodiment, after acquiring the job resume of the applicant, the processor is caused to:
performing matching scoring on job-seeking resumes of the applicants on the basis of the optimal job-taking conditions preset corresponding to the recruiting positions;
and performing sorting on the job hunting resumes after matching and scoring, and displaying the job hunting resumes to the recruiter so as to guide the recruiter to screen the resumes.
Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This specification is intended to cover any variations, uses, or adaptations of the specification following, in general, the principles of the specification and including such departures from the present disclosure as come within known or customary practice within the art to which the specification pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the specification being indicated by the following claims.
It will be understood that the present description is not limited to the precise arrangements described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present description is limited only by the appended claims.
The above description is only a preferred embodiment of the present disclosure, and should not be taken as limiting the present disclosure, and any modifications, equivalents, improvements, etc. made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (22)
1. A resume creation method, the method being applied to a human resources management system, the method comprising:
receiving description information of the recruitment post input by a recruiter;
acquiring historical recruitment data corresponding to the recruitment post from the historical recruitment data;
performing data analysis on the description information of the recruitment position and the historical recruitment data, and determining an occupation condition corresponding to the recruitment position;
and outputting prompt information corresponding to the job-leaving condition to the applicant through a resume creating interface so as to guide the applicant to create a job-seeking resume.
2. The method of claim 1, wherein the descriptive information for the recruiting position further includes industry information to which the recruiting position belongs;
the obtaining of the historical recruitment data corresponding to the recruitment post from the historical recruitment data comprises:
screening out historical recruitment data matched with the industry information to which the recruitment post belongs from the historical recruitment data;
and further acquiring historical recruitment data corresponding to the recruitment post from the screened historical recruitment data.
3. The method of claim 1, further comprising, prior to the data analyzing the recruit position descriptive information and the historical recruitment data:
and desensitizing privacy data related to enterprises in the historical recruitment data.
4. The method of claim 1, wherein the historical recruitment data includes historical descriptive information for the recruiting post;
the analyzing the description information of the recruitment position and the historical recruitment data to determine the occupation condition corresponding to the recruitment position comprises:
and performing semantic analysis on the description information of the recruitment position input by the recruiter and the historical description information corresponding to the recruitment position in the historical recruitment data to obtain a plurality of keywords indicating the job leaving conditions of the recruitment position, and generating a keyword set serving as the job leaving conditions based on the obtained keywords.
5. The method of claim 4, the historical recruitment data further comprising historical resume data corresponding to the recruiting post;
the analyzing the description information of the recruiting position and the historical recruiting data to determine the occupation condition corresponding to the recruiting position further comprises:
and performing data mining on resume contents in the historical resume data to obtain a plurality of keywords indicating the occupational conditions of the recruitment posts, and adding the obtained keywords to the keyword set.
6. The method of claim 5, prior to data mining resume content in the historical resume data, further comprising:
storing resume contents in the historical resume data in a key-value key value pair mode;
and merging the data of the resume contents with similar semantics to obtain merged resume contents.
7. The method of claim 5, wherein the data mining resume content in the historical resume data for keywords indicating the job tenure for the recruiting post comprises:
performing clustering analysis on resume contents in the historical resume data to obtain a plurality of clustering labels, and adding the clustering labels to the keyword set;
and performing statistical analysis on resume contents in the historical resume data to obtain a plurality of high-frequency keywords indicating resume characteristics, and adding the high-frequency keywords to the keyword set.
8. The method of claim 4, wherein the post due condition comprises any one or a combination of conditions of post due exclusion, post due necessity, and post due preference.
9. The method of claim 1, wherein outputting, to an applicant via a resume creation interface, a prompt corresponding to the job-holding condition to direct the applicant to create a job-seeking resume comprises:
checking the device type of the resume creation interface accessed by the applicant;
if the equipment type is a mobile terminal, outputting prompt information corresponding to the job-seeking condition to the applicant based on a human-computer interaction interface so as to guide the applicant to fill in a job-seeking resume;
otherwise, outputting prompt information corresponding to the job-seeking condition to the applicant based on a page form mode so as to guide the applicant to fill in the job-seeking resume.
10. The method of claim 1, further comprising, after obtaining the resume for job applicant:
performing matching scoring on job-seeking resumes of the applicants on the basis of the optimal job-taking conditions preset corresponding to the recruiting positions;
and performing sorting on the job hunting resumes after matching and scoring, and displaying the job hunting resumes to the recruiter so as to guide the recruiter to screen the resumes.
11. A resume creation apparatus for use in a human resources management system, the apparatus comprising:
the receiving module is used for receiving the description information of the recruitment post input by the recruiter;
the analysis module is used for acquiring historical recruitment data corresponding to the recruitment post from the historical recruitment data;
the analysis module is further used for carrying out data analysis on the description information of the recruitment position and the historical recruitment data to determine an employment condition corresponding to the recruitment position;
and the creation module outputs prompt information corresponding to the job-leaving condition to the applicant through a resume creation interface so as to guide the applicant to create a job-seeking resume.
12. The apparatus of claim 11, the descriptive information for the recruiting position further comprises industry information to which the recruiting position belongs;
the analysis module further:
screening out historical recruitment data matched with the industry information to which the recruitment post belongs from the historical recruitment data;
and further acquiring historical recruitment data corresponding to the recruitment post from the screened historical recruitment data.
13. The apparatus of claim 11, prior to the data analyzing the recruitment position descriptive information and the historical recruitment data, the analysis module further to:
and desensitizing privacy data related to enterprises in the historical recruitment data.
14. The apparatus of claim 11, the historical recruitment data comprising historical descriptive information for the recruiting post;
the analysis module further:
and performing semantic analysis on the description information of the recruitment position input by the recruiter and the historical description information corresponding to the recruitment position in the historical recruitment data to obtain a plurality of keywords indicating the job leaving conditions of the recruitment position, and generating a keyword set serving as the job leaving conditions based on the obtained keywords.
15. The apparatus of claim 14, the historical recruitment data further comprising historical resume data corresponding to the recruiting post;
the analysis module further:
and performing data mining on resume contents in the historical resume data to obtain a plurality of keywords indicating the occupational conditions of the recruitment posts, and adding the obtained keywords to the keyword set.
16. The apparatus of claim 15, the analysis module, prior to data mining resume content in the historical resume data, further to:
storing resume contents in the historical resume data in a key-value key value pair mode;
and merging the data of the resume contents with similar semantics to obtain merged resume contents.
17. The apparatus of claim 15, the analysis module further to:
performing clustering analysis on resume contents in the historical resume data to obtain a plurality of clustering labels, and adding the clustering labels to the keyword set;
and performing statistical analysis on resume contents in the historical resume data to obtain a plurality of high-frequency keywords indicating resume characteristics, and adding the high-frequency keywords to the keyword set.
18. The apparatus of claim 14, the post due condition comprising any one or a combination of conditions of a post due exclusion condition, a post due necessity condition, and a post due preference condition.
19. The apparatus of claim 11, the creation module further to:
checking the device type of the resume creation interface accessed by the applicant;
if the equipment type is a mobile terminal, outputting prompt information corresponding to the job-seeking condition to the applicant based on a human-computer interaction interface so as to guide the applicant to fill in a job-seeking resume;
otherwise, outputting prompt information corresponding to the job-seeking condition to the applicant based on a page form mode so as to guide the applicant to fill in the job-seeking resume.
20. The apparatus of claim 11, further comprising, after obtaining the resume for job applicant:
the evaluation module executes matching scoring on the job hunting resume of the applicant based on the preset optimal job-taking condition corresponding to the recruitment post;
and performing sorting on the job hunting resumes after matching and scoring, and displaying the job hunting resumes to the recruiter so as to guide the recruiter to screen the resumes.
21. An electronic device comprises a communication interface, a processor, a memory and a bus, wherein the communication interface, the processor and the memory are connected with each other through the bus;
the memory has stored therein machine-readable instructions, which the processor executes by calling the processor to perform the method of any one of claims 1 to 10.
22. A machine readable storage medium having stored thereon machine readable instructions which, when invoked and executed by a processor, carry out the method of any of claims 1 to 10.
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| CN114663042A (en) * | 2022-02-11 | 2022-06-24 | 北京斗米优聘科技发展有限公司 | Intelligent telephone calling recruitment method and device, electronic equipment and storage medium |
| CN117078221A (en) * | 2023-08-31 | 2023-11-17 | 北京五八信息技术有限公司 | Recruitment method, device, equipment and storage medium based on AI |
| CN117196556A (en) * | 2023-09-19 | 2023-12-08 | 江苏锡世科技有限公司 | Multi-platform recruitment information management system and method based on big data |
| CN117455430A (en) * | 2023-08-31 | 2024-01-26 | 北京五八信息技术有限公司 | Resume information processing method, device, equipment and storage medium based on AI |
| CN117933953A (en) * | 2024-03-21 | 2024-04-26 | 北京五八信息技术有限公司 | Online job-seeking session method and device, electronic equipment and storage medium |
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2019
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114663042A (en) * | 2022-02-11 | 2022-06-24 | 北京斗米优聘科技发展有限公司 | Intelligent telephone calling recruitment method and device, electronic equipment and storage medium |
| CN114663042B (en) * | 2022-02-11 | 2023-04-21 | 北京斗米优聘科技发展有限公司 | Smart phone call recruitment method and device, electronic equipment and storage medium |
| CN117078221A (en) * | 2023-08-31 | 2023-11-17 | 北京五八信息技术有限公司 | Recruitment method, device, equipment and storage medium based on AI |
| CN117455430A (en) * | 2023-08-31 | 2024-01-26 | 北京五八信息技术有限公司 | Resume information processing method, device, equipment and storage medium based on AI |
| CN117455430B (en) * | 2023-08-31 | 2024-05-17 | 北京五八信息技术有限公司 | Resume information processing method, device, equipment and storage medium based on AI |
| CN117196556A (en) * | 2023-09-19 | 2023-12-08 | 江苏锡世科技有限公司 | Multi-platform recruitment information management system and method based on big data |
| CN117196556B (en) * | 2023-09-19 | 2024-02-23 | 江苏锡世科技有限公司 | Multi-platform recruitment information management system and method based on big data |
| CN117933953A (en) * | 2024-03-21 | 2024-04-26 | 北京五八信息技术有限公司 | Online job-seeking session method and device, electronic equipment and storage medium |
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