CN115511435A - Auxiliary recruitment method and device, electronic equipment and readable storage medium - Google Patents
Auxiliary recruitment method and device, electronic equipment and readable storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides an auxiliary recruitment method, an auxiliary recruitment device, electronic equipment and a readable storage medium, wherein the embodiment of the invention not only realizes the automation of a recruitment process, but also greatly improves the efficiency and the quality of recruitment, and effectively solves the problems that the conversion rate of successful recruitment is not high enough and a large amount of recruitment resources are wasted due to the phenomena that a candidate is easily mismatched with a post and the candidate is not interested in the post in the conventional manner of manually screening resumes for recruitment.
Description
Technical Field
The invention relates to the technical field of intelligent recruitment, in particular to an auxiliary recruitment method, an auxiliary recruitment device, electronic equipment and a readable storage medium.
Background
In the talent recruitment process, a recruiter needs to spend a large amount of time and labor to screen out a proper candidate from each recruitment website and an enterprise talent base by using a manual searching method, and the phenomenon that the candidate is not matched with a post and the candidate is not interested in the post easily occurs in the mode, so that the recruitment success conversion rate is low, and a large amount of recruitment resources are wasted; even if the candidate is successfully recruited, the cost from interviewing to job entry is high, the recruitment efficiency is low, and the process is long.
Disclosure of Invention
In view of the above problems, the present invention has been made to provide an assisted recruitment method, apparatus, electronic device and readable storage medium that solve the above problems, or at least partially solve the above problems.
In a first aspect, an embodiment of the present invention provides an auxiliary recruitment method, where the method includes:
determining a first candidate resume matched with the recruitment post information from the candidate resumes;
generating a recruitment outbound strategy according to the resume of the first candidate and the information of the recruitment post;
performing a first outbound call to a first candidate according to the recruitment outbound strategy to receive first voice information; the first candidate is a recruitment candidate corresponding to the resume of the first candidate;
determining job hunting intention and skill information of the first candidate according to the first voice information;
and when the job hunting intention and skill information meet the preset interview conditions, the first outbound call is transferred to a second outbound call, and the second outbound call is the call between the recruiter and the first candidate.
Optionally, in the method, determining a first candidate resume matching the recruitment position information from the candidate resumes includes:
determining a post label of a post to be recruited according to the information of the recruiting post;
extracting basic attribute labels of the candidate resume from any candidate resume to construct a portrait;
and determining a first candidate resume matched with the recruitment position information from all candidate resumes according to the position tags and the character images.
Optionally, after determining the skill information of the first candidate, the method further comprises:
and updating the figure portrait corresponding to the first candidate according to the skill information.
Optionally, after transferring the first outbound call to a second outbound call, the method further comprises:
receiving second voice information of the first candidate;
identifying recommendation information related to the keyword of the second voice information;
and displaying the recommendation information to the recruiter.
Optionally, the method further comprises:
determining the related information of the post of the first candidate according to the second voice information;
and updating the portrait corresponding to the first candidate according to the information related to the post of the job.
Optionally, the method further comprises:
and after the second outbound call is finished, submitting an interview result to a human resource system, wherein the interview result comprises the portrait and the evaluation of the recruiter on the first candidate.
Optionally, in the method, after determining the intention to ask for help and skill information of the first candidate according to the first voice information, the method further includes:
in an instance in which it is determined that the recipient of the first outbound call is not the first candidate, the first candidate is not intending to switch to work, the first candidate is not interested in the recruiting position, or the first candidate does not meet the skill requirement for the recruiting position, ending the first outbound call.
In a second aspect, an embodiment of the present invention provides an auxiliary recruitment device, including:
the screening module is used for determining a first candidate resume matched with the recruitment post information from all candidate resumes;
the strategy generating module is used for generating a recruitment outbound strategy according to the resume of the first candidate and the information of the recruitment post;
the calling-out module is used for carrying out a first calling-out conversation to a first candidate according to the recruitment calling-out strategy so as to receive first voice information; the first candidate is a recruitment candidate corresponding to the resume of the first candidate;
the first determining module is used for determining job hunting intention and skill information of the first candidate according to the first voice information;
and the switching module is used for switching the first outbound call to a second outbound call when the job hunting intention and the skill information accord with preset interview conditions, wherein the second outbound call is a call between a recruiter and the first candidate.
Optionally, in the apparatus, the screening module includes:
the tag extraction unit is used for determining a post tag of a post to be recruited according to the information of the recruiting post;
the portrait construction unit is used for extracting the basic attribute labels of the candidate resume from any candidate resume and constructing a portrait;
and the matching unit is used for determining a first candidate resume matched with the recruitment position information from the candidate resumes according to the position tags and the character images.
Optionally, the apparatus further comprises:
and the first updating module is used for updating the portrait corresponding to the first candidate according to the skill information after the skill information of the first candidate is determined.
Optionally, the apparatus further comprises:
the receiving module is used for receiving second voice information of the first candidate after the first outbound call is transferred to a second outbound call;
the recognition module is used for recognizing recommendation information related to the keywords of the second voice information;
and the recommending module is used for displaying the recommending information to the recruiter.
Optionally, the apparatus further comprises:
the second determining module is used for determining the related information of the post of the first candidate according to the second voice information;
and the second updating module is used for updating the portrait corresponding to the first candidate according to the related information of the post.
Optionally, the apparatus further comprises:
and the submitting module is used for submitting an interview result to a human resource system after the second outbound call is finished, wherein the interview result comprises the portrait and the evaluation of the recruiter on the first candidate.
Optionally, in the apparatus, the outbound module is further configured to:
after determining the job hunting intent and skill information for the first candidate based on the first voice information, ending the first outbound call if it is determined that the recipient of the first outbound call is not the first candidate, the first candidate is not willing to swap for work, the first candidate is not interested in the recruiting position, or the first candidate does not meet the skill requirement for the recruiting position.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, and when executed by the processor, the program or instructions implement the steps of the method according to the first aspect.
In a fourth aspect, embodiments of the present application provide a readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the method according to the first aspect.
In a fifth aspect, an embodiment of the present application provides a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement the method according to the first aspect.
Compared with the prior art, the embodiment of the invention has the following advantages:
in the embodiment of the invention, the resume is initially screened through the recruitment post information, the recruitment external call strategy is generated for the resumes of the screened candidate persons, then the corresponding first candidate person is automatically subjected to a telephone auxiliary interview through the first external call according to the recruitment external call strategy, and the external call conversation is transferred to the recruiter for a second external call conversation when the job seeking intention and the skill information of the first candidate person meet the preset interview conditions, so that the automation of the recruitment process is realized, the recruitment efficiency and the recruitment quality are greatly improved, the problems that the recruitment success conversion rate is not high enough and the recruitment resources are greatly wasted due to the phenomena that the candidate persons are not matched with the posts and the candidate persons are not interested in the posts in the conventional manual resume screening manner are solved effectively.
The above description is only an overview of the technical solutions of the present invention, and the present invention can be implemented in accordance with the content of the description so as to make the technical means of the present invention more clearly understood, and the above and other objects, features, and advantages of the present invention will be more clearly understood.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a flow chart illustrating the steps of an auxiliary recruitment method according to an embodiment of the invention;
fig. 2 is a block diagram illustrating a structure of an auxiliary recruitment device according to an embodiment of the invention;
fig. 3 shows a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Referring to fig. 1, a flowchart illustrating steps of an embodiment of a case allocation method according to the present invention is shown, and specifically may include steps 101 to 105.
The embodiment of the invention is applied to the terminal, and the terminal can be a mobile terminal and a non-mobile terminal, such as office equipment of a computer, a portable computer and the like.
In the step, a human resource access system is simulated through Robot Process Automation (RPA), the candidate list is navigated, the candidate resume to be processed is automatically downloaded, resume preliminary screening is automatically executed by combining the post information of the job post, resumes which do not meet the post requirements are filtered, and the candidate resume which is matched with the post information, namely the first candidate resume, is obtained, so that the working efficiency of searching for the matched resumes can be greatly improved.
In this step, the screening condition may be dynamically set according to the resume field and the recruitment position information, including but not limited to the following fields: gender, age, working age, average working age, academic history, skills.
Illustratively, if station 1 requires males, over 25 years old, then the screening conditions for station 1 are: male, over 25 years old;
for example, if the post 2 requires the subject calendar, the working years of more than 5 years, and Java skills, the screening conditions of the post 2 are: the subject calendar is required to have Java skills and the like for more than 5 years of working years.
And 102, generating a recruitment outbound strategy according to the resume of the first candidate and the information of the recruitment post.
In the step, a contact telephone of the first candidate is obtained according to the resume of the first candidate, and meanwhile, a preset external calling technique is determined from multiple dimensions such as job hunting intention and professional skills of a recruiting position by combining information of the recruiting position, so that the recruiting external calling strategy is formed. The method and the system have the advantages that the resume is combined with the recruitment position information to determine the preset outbound conversation, so that when a subsequent recruitment position corresponding to the recruitment position information is in outbound conversation with a first candidate, the information can be substituted into the relevant information of the first candidate to inquire whether the candidate is the candidate, job seeking intention and professional skill conditions, the outbound conversation process is more natural and polite, and the goodness of the first candidate is improved.
103, carrying out a first outbound call to a first candidate according to the recruitment outbound strategy to receive first voice information; the first candidate is a recruiting candidate corresponding to the resume of the first candidate.
In the step, according to the generated recruitment outbound strategy, the outbound robot is used for dialing the telephone of the first candidate, and then after the telephone is connected, the speech synthesis technology is used for converting the preset text version of the speech into a voice stream to be played to the candidate.
In the step, after the conversation in the recruitment outbound strategy is played to the first candidate, first voice information fed back by the first candidate for the conversation is received, and the first voice information is stored and is convenient to be converted into characters through a voice recognition technology.
In the embodiment of the application, when the outbound call robot and the first candidate perform outbound call, the two-way call is performed, and a full-duplex speech processing technology needs to be adopted to perform speech information processing, that is, when the outbound call robot performs a first outbound call to the first candidate according to the recruitment outbound strategy, a text version conversation technique preset in the recruitment outbound strategy needs to be converted into a speech stream by using a speech synthesis technology, and the speech stream is played to the first candidate for listening; meanwhile, when first voice information fed back by a first candidate is received, the first voice information is converted into conversation characters by using a voice recognition technology.
And step 104, determining the job-seeking intention and skill information of the first candidate according to the first voice information.
In the step, the recruitment external call strategy is expanded around job hunting intention and professional skill aiming at the recruitment position, and the first voice information is voice information fed back by the recruitment external call strategy, so that the first voice information is converted into characters by using a voice recognition technology, then the job hunting intention and the professional skill of the user can be extracted by using a natural voice understanding technology and a slot position extraction technology, and corresponding skill information is determined according to the professional skill, wherein the job hunting intention comprises the work switching intention of the first candidate and the interest state of the first candidate on the recruitment position, and the skill information is used for reflecting the skill state of the first candidate on the recruitment position.
And 105, when the job hunting intention and the skill information accord with preset interview conditions, switching the first outbound call to a second outbound call, wherein the second outbound call is a call between the recruiter and the first candidate.
In the step, under the condition that the first candidate is determined to have the intention to change work, the recruitment position corresponding to the recruitment position information is interested by the first voice information fed back through the communication of the outbound call with the first candidate, and the professional skill of the first candidate meets the position requirement corresponding to the recruitment position information, the call between the outbound robot and the first candidate is transferred to the second outbound call between the engaging person and the first candidate, so that the engaging person can perform more detailed and targeted manual telephone interview on the first candidate.
Optionally, in an implementation manner, the recruitment assistance method according to the embodiment of the present application further includes, after the step 104, a step 106 of:
in an instance in which it is determined that the recipient of the first outbound call is not the first candidate, the first candidate is not intending to switch to work, the first candidate is not interested in the recruiting position, or the first candidate does not meet the skill requirement for the recruiting position, ending the first outbound call.
In the implementation mode, when a first outbound call is carried out to a first candidate according to a recruitment outbound strategy, whether a call object is the first candidate is inquired according to a preset call; if the conversation object is judged to be the first candidate according to the first voice information, continuously inquiring whether the conversation object is intentionally changed; inquiring whether the first candidate is interested in the recruitment position corresponding to the recruitment position information when the first candidate is judged to be willing to change work according to the first voice information; when the first candidate is judged to be interested in the recruiting position according to the first voice information, continuously inquiring the professional skills of the first candidate; when the call object is judged not to be the first candidate person through the first voice information, or the call object is judged to be the first candidate person without intention of changing the call, the call is politely hung up; and under the condition that the conversation object is judged to be the first candidate, the conversation object is not intended to change the work and is not interested in the recruitment post through the first voice message, the resume mark of the first candidate is not appropriate and the call is politely hung up, so that unnecessary subsequent communication is omitted.
Exemplarily, if the pre-set dialog for recruiting an outbound strategy is "we are recruiting a superior Java engineer, then do you have a new chance in mind now? If yes, the system converts the characters into voice streams through a voice synthesis technology to be played, and the candidate hears the converted voice; if the candidate answers: if the user wants to see the opportunity, the system receives the voice stream of the candidate, converts the voice stream into characters through a voice recognition technology after storing the voice stream, extracts the intention of the user through a natural language understanding technology, analyzes that the intention of the user is considering a new opportunity according to a pre-trained model, and can continue to inquire the professional skills of the candidate subsequently to determine the flow of skill information; if the candidate does not intend to change the work, the call can be politely hung up; and under the condition that the call object is judged to be the candidate and the candidate is intentionally changed according to the voice information received by the outgoing call, further inquiring a professional skill field which is not involved in the laughing resume of the candidate according to a preset dialogues, for example, more than 5 years of Java development experience is required, and if the requirement is not met, marking the call as improper and hanging up the call in a polite way.
Optionally, under the condition that an outbound call request is made to a first candidate according to the recruitment outbound policy, if the outbound call request is not answered by the first candidate, continuing to make the outbound call request to the first candidate after a preset period; and if the outbound call requests of the first candidate for the preset times are not answered, marking the resume of the first candidate as a missed call, and stopping the outbound call requests of the first candidate. The preset period and the preset times can be set according to actual conditions, for example, for a first candidate specially matched with a recruitment post, the preset times can be increased, that is, the first candidate is requested to make an outbound call more times, so as to realize the outbound call as much as possible.
In addition, for the candidate who does not answer the outbound call request for the preset number of continuous times, the candidate can also send a short message to the candidate, wherein the short message comprises the recruitment position information and informs the candidate that the candidate can answer the call corresponding to the outbound call request if the candidate is interested in the recruitment position.
In the embodiment of the invention, the resume is initially screened through the recruitment post information, the recruitment external call strategy is generated for the resumes of the screened candidate persons, then the corresponding first candidate person is automatically subjected to a telephone auxiliary interview through the first external call according to the recruitment external call strategy, and the first external call conversation is switched to the recruiter for the second external call conversation when the job seeking intention and the skill information of the first candidate person meet the preset interview conditions, so that the automation of the recruitment process is realized, the recruitment efficiency and the recruitment quality are greatly improved, the problems that the recruitment success conversion rate is not high enough, the efficiency is high, and the recruitment resources are greatly wasted due to the phenomena that the candidate persons are not matched with the posts and the candidate persons are not interested in the posts in the conventional manner of manually screening the resumes for recruitment are effectively solved.
Optionally, in an embodiment, the step 101 includes steps 111 to 113.
And step 111, determining the post label of the post to be recruited according to the information of the recruiting post.
In the step, post labels with multiple dimensions are determined, the current recruitment post information is analyzed, corresponding dimension label values are extracted, and the post label of the recruitment post is generated, so that tagging of the recruitment post information is realized.
And step 112, extracting the basic attribute tags of the resume of the candidate from any resume of the candidate to construct a person portrait.
In this step, because resumes are usually uploaded to the recruitment system in unstructured texts such as PDF and Word, and formats of resumes of the candidates are not uniform, the unstructured text parsing and processing technology can be used to convert documents in formats such as PDF and Word into plain texts by using parsers in different formats, eliminate redundant spaces and lines, and output the documents in plain text format, and further analyze the resumes of the candidates by using natural language processing and unstructured text parsing technology, and extract basic attribute tags of the candidates quickly to form a person portrait of the candidate.
The basic attribute labels of the candidates comprise names, sexes, ages, mobile phone numbers, mailboxes, working years, average working years, academic calendars, professional skills, reasons for leaving employment, addresses, current salaries, expected salaries, working strength, communication capacity, team cooperation, reaction capacity, bearing capacity, working stability, learning capacity, attention details and the like.
Optionally, when processing the candidate resume, dividing the resume into three parts of basic information, education experience and work experience, and outputting the three parts of basic information, education experience and work experience as basic attribute tags in the form of key value; the basic information comprises name, gender, age, mobile phone number, mailbox, working age and the like, the education experience comprises school, specialty, school calendar, reading time and the like of each education stage, and the working experience comprises company, position, working time, work, project condition and the like of each working experience.
Optionally, after the person representation is constructed, the person representation may be stored to a knowledge graph repository for subsequent retrieval.
And 113, determining a first candidate resume matched with the recruitment position information from all candidate resumes according to the position tags and the character images.
In this step, because the portrait is based on each basic attribute tag of the candidate, the candidate meeting the requirement of the recruiting post can be quickly matched by comparing the basic attribute tag of the candidate with the post tag of the corresponding dimension, and further the resume corresponding to the candidate can be determined, namely the resume of the first candidate.
Optionally, the step 113 specifically includes: aiming at each second candidate resume in the candidate resumes, acquiring a second portrait of the second candidate resume; comparing the post label with each basic attribute label of the second portrait; and under the condition that the basic attribute tags of the second person portrait are matched with the post tags, determining the second candidate resume as a first candidate resume matched with the recruitment post information.
The method comprises the steps of obtaining a person portrait corresponding to each candidate in the resume of each candidate, comparing position labels with basic attribute labels of the person portrait, and under the condition that the basic attribute labels of the person portrait are matched with the position labels, indicating that the basic attributes of the candidate can meet the position requirements, taking the resume of the candidate corresponding to the person portrait as the first candidate resume, and accordingly rapidly completing the screening of the resume of the candidate.
In the embodiment, the basic attribute tagging of the candidate is realized through the tagging of the recruitment post and the resume, so that the resume of the candidate meeting the requirement of the recruitment post can be matched quickly, and the figure portrait can be constructed at the same time.
Optionally, in an implementation manner, the recruitment assistance method provided in the embodiment of the present application further includes step 107 after determining the skill information of the first candidate.
And 107, updating the figure portrait corresponding to the first candidate according to the skill information.
In the embodiment, the character portrait is constructed by basic attribute tags of the candidate, the basic attribute tags comprise skill related tags, but when the resume of the candidate does not relate to skill related information, the skill related tag value is null, so that the skill tag value can be determined based on the skill information identified and acquired through the first voice information, the skill related tag is further perfected, and perfection of the character portrait is realized; and when the resume of the candidate does not relate to the skill related information, the character portrait of the candidate has a skill related label, and the skill related label is matched with the post label of the current recruitment post due to the fact that the character portrait of the candidate passes through the resume preliminary screening, so that the skill label value can be determined and the skill related label can be corrected based on the skill information identified and obtained through the first voice information, and the character portrait can be corrected.
Optionally, in an implementation manner, the recruitment assistance method provided in this embodiment further includes steps 151 to 153 after the first outbound call is transferred to the second outbound call.
And step 151, receiving second voice information of the first candidate.
In the step, when the outbound call is transferred to the recruiter, the recruiter directly performs the voice call with the first candidate, so that the system can receive the voice stream of the first candidate, play the voice stream, and be listened by the recruiter.
And 152, identifying recommendation information related to the keywords of the second voice information.
In this step, after receiving the voice stream of the first candidate, the voice stream is converted into conversational text by using a voice recognition technology, then a natural language understanding technology is used to extract a keyword or an intention of a speaker in the text, and then a knowledge recommendation technology is used to search relevant knowledge from a knowledge base based on the keyword or the intention to serve as the recommendation information.
Optionally, the conversation text converted from the second voice message of the first candidate can be displayed on an interface, so that the recruiter can further determine the content expressed by the first candidate, and communication errors are reduced.
And 153, displaying the recommendation information to the recruiter.
In the step, the recommendation information is displayed on a display interface, so that the recruiter can solve the problem of the first candidate and assist in understanding the expressed content of the first candidate.
Exemplarily, in the communication process between the recruiter and the candidate, the voice information of the candidate is received and converted into characters through a voice recognition technology, keywords and intentions in the characters are extracted through a natural language understanding technology, for example, the candidate says that the candidate lives in the tiantong yuan, then the residence of the candidate is a Changpio district A through the natural language understanding technology, and then the knowledge recommendation calculates the distance between the residence of the candidate and the company and the traffic time and displays the distance on an interface; if the candidate asks the company what welfare treatment the company has, the natural language understanding technology extracts that the intention of the user is to inquire about the welfare treatment of the company, and the knowledge recommendation technology searches relevant knowledge of the welfare treatment from a preset knowledge base and displays the knowledge on an interface.
In the embodiment, in the process of communicating between the recruiter and the candidate meeting the conditions, the recommendation information is acquired by utilizing the voice recognition technology, the natural language understanding technology and the knowledge recommendation technology, and is displayed to the recruiter, so that the interview assistance is effectively provided for the recruiter.
Optionally, in an implementation manner, the recruitment assistance method provided in the embodiment of the present application further includes steps 108 to 109 after determining the skill information of the first candidate.
And step 108, determining the related information of the position of the first candidate according to the second voice information.
In this step, the relevant information of the incumbent post is relevant information of the incumbent post of the first candidate, such as salary of the current incumbent post, expected salary, on-duty situation, reason for leaving the post, and the incumbent time of the post. After receiving the second voice information of the first candidate, the voice recognition technology is also used for converting the second voice information into conversation characters, then the natural language understanding technology and the slot position extraction technology are used for extracting information which is relatively private or inconvenient to communicate with the telephone robot, such as the information related to the position of the candidate, and the like, and the reply of the first candidate is divided into different slot positions, so that the extraction of the information related to the position of the candidate is realized.
Exemplarily, ask the candidate "how much your current monthly salary is" at the recruiter? If the candidate answers about almost 2 ten thousand now, the answer of the candidate can be divided by using a natural language understanding technology, and then the slot position corresponding to the monthly payroll is extracted by using a slot position extracting technology, namely the monthly payroll value of 2 ten thousand yuan is identified.
And step 109, updating the figure portrait corresponding to the first candidate according to the related information of the post.
In this step, the portrait is constructed by the basic attribute tag of the candidate, where the basic attribute tag includes the related information tag of the incumbent post, but when the resume of the candidate does not relate to the related information of the incumbent post, the related information tag value of the incumbent post is null, so that the related information tag value of the incumbent post can be determined based on the related information of the incumbent post identified and obtained through the second voice information, and further, the related information tag of the incumbent post is perfected, thereby perfecting the portrait; and when the resume of the candidate does not relate to the related information of the post, the character image of the candidate has the related information label of the post of the job, and the related information label of the post of the job is matched with the post label of the current recruitment post because the character image passes through the initial screening of the resume, so that the related information label value of the post of the job can be determined and the related information label of the post of the job can be corrected based on the related information of the post of the job identified and obtained by the second voice information, and the person portrait can be corrected.
In this embodiment, in the process of the second outbound call of the recruiter to the first candidate, the natural language understanding technology, the full-duplex speech processing technology and the slot extraction technology are utilized to further extract information such as skill information and post-occupation related information of the candidate from the speech information fed back by the first candidate, thereby forming a full-dimensional character image of the first candidate.
Optionally, in an implementation manner, the recruitment assistance method provided in the embodiment of the present application further includes step 110.
And step 110, after the second outbound call is finished, submitting an interview result to a human resource system, wherein the interview result comprises the portrait and the evaluation of the recruiter on the first candidate.
In this embodiment, after the second outbound call is completed, the RPA robot automatically records the person representation of the first candidate and the interview results of the evaluation by the recruiter to the human resources system, so that the workload of the recruiter is reduced and the human resources manager can quickly know the overall situation of the first candidate.
When an interview result is generated, a talent insight report for performing digital comprehensive evaluation on the first candidate can be automatically generated by using a preset talent insight model based on each label in the figure image.
Referring to fig. 2, there is shown a block diagram illustrating the construction of an embodiment of the auxiliary recruitment device 20 according to the present invention, the auxiliary recruitment device 20 comprising:
the screening module 21 is used for determining a first candidate resume matched with the recruitment position information from all candidate resumes;
the strategy generating module 22 is used for generating a recruitment outbound strategy according to the resume of the first candidate and the information of the recruitment post;
the outbound module 23 is configured to perform a first outbound call to the first candidate according to the recruitment outbound policy to receive the first voice message; the first candidate is a recruitment candidate corresponding to the resume of the first candidate;
the first determining module 24 is configured to determine job hunting intention and skill information of the first candidate according to the first voice information;
and the switching module 25 is used for switching the first outbound call to a second outbound call when the intention and the skill information meet the preset interview conditions, wherein the second outbound call is a call between the recruiter and the first candidate.
According to the auxiliary recruitment device, the resume is initially screened through the recruitment post information, the recruitment external call strategy is generated for the resumes of the screened candidates, then the corresponding first external call conversation of the first candidate is automatically subjected to phone auxiliary interview according to the recruitment external call strategy, and the external call conversation is transferred to the recruiter for second external call conversation when the job seeking intention and the skill information of the first candidate accord with the preset interview conditions, so that the automation of the recruitment process is realized, the recruitment efficiency and the recruitment quality are greatly improved, the problems that the recruitment success conversion rate is not high enough and the recruitment resources are wasted due to the phenomena that the candidates are not matched with the posts and the candidates are not interested in the posts easily occur in the conventional manual resume screening mode are solved effectively.
Optionally, in the apparatus, the screening module 21 includes:
the tag extraction unit is used for determining a post tag of a post to be recruited according to the information of the recruiting post;
the portrait construction unit is used for extracting basic attribute labels of the candidate resume from any candidate resume to construct a portrait;
and the matching unit is used for determining a first candidate resume matched with the recruitment position information from all candidate resumes according to the position tags and the character images.
Optionally, in the apparatus, the matching unit includes:
the acquisition subunit is used for acquiring a second person portrait of each second candidate resume in each candidate resume;
a comparison subunit, configured to compare each basic attribute tag of the second person portrait with the post tag;
a determining subunit, configured to determine the second candidate resume as a first candidate resume matching the recruitment position information when the basic attribute tags of the second person portrait match the position tags.
Optionally, the apparatus further comprises:
and the first updating module is used for updating the figure portrait corresponding to the first candidate according to the skill information after the skill information of the first candidate is determined.
Optionally, the apparatus further comprises:
the receiving module is used for receiving second voice information of the first candidate after the first outbound call is transferred to a second outbound call;
the recognition module is used for recognizing recommendation information related to the keywords of the second voice information;
and the recommending module is used for displaying the recommending information to the recruiter.
Optionally, the apparatus further comprises:
the second determining module is used for determining the related information of the post of the first candidate according to the second voice information;
and the second updating module is used for updating the portrait corresponding to the first candidate according to the related information of the post.
Optionally, the apparatus further comprises:
and the submitting module is used for submitting an interview result to a human resource system after the second outbound call is finished, wherein the interview result comprises the portrait and the evaluation of the recruiter on the first candidate.
Optionally, in the apparatus, the outbound module 23 is further configured to:
after determining the job hunting intent and skill information of the first candidate based on the first voice information, ending the first outbound call if it is determined that the recipient of the first outbound call is not the first candidate, the first candidate is not intending to commute to work, the first candidate is not interested in the recruiting position, or the first candidate does not meet the skill requirements for the recruiting position.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
The recruitment assistance device in the embodiment of the present invention may be a device, or may be a component, an integrated circuit, or a chip in a terminal. The device can be mobile electronic equipment or non-mobile electronic equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a self-service machine, and the like, and the embodiment of the present application is not particularly limited.
The auxiliary recruitment device in the embodiment of the invention can be a device with an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and embodiments of the present invention are not limited in particular.
Optionally, an embodiment of the present invention further provides an electronic device, as shown in fig. 3, including a processor 301, a communication interface 302, a memory 303, and a communication bus 304, where the processor 301, the communication interface 302, and the memory 303 complete communication with each other through the communication bus 304.
A memory 303 for storing a computer program.
When the processor 301 is configured to execute the program stored in the memory 303, the following steps are implemented:
determining a first candidate resume matched with the recruitment position information from the candidate resumes;
generating a recruitment outbound strategy according to the resume of the first candidate and the information of the recruitment post;
carrying out first outbound call to a first candidate according to the recruitment outbound strategy to receive first voice information; the first candidate is a recruitment candidate corresponding to the resume of the first candidate;
determining job hunting intention and skill information of the first candidate according to the first voice information;
and when the job hunting intention and skill information meet the preset interview conditions, the first outbound call is transferred to a second outbound call, and the second outbound call is the call between the recruiter and the first candidate.
The processor 301 may also implement other steps in the above-mentioned auxiliary recruitment method, and may achieve the same technical effect, and for avoiding repetition, the details are not described here again.
The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this is not intended to represent only one bus or type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components.
It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and the non-mobile electronic devices described above.
The embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the program or the instruction implements each process of the foregoing auxiliary recruitment method embodiment, and can achieve the same technical effect, and in order to avoid repetition, the detailed description is omitted here.
The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.
The embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to execute a program or an instruction to implement each process of the foregoing auxiliary recruitment method embodiment, and can achieve the same technical effect, and in order to avoid repetition, the description is omitted here.
It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with this teaching. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the devices in an embodiment may be adaptively changed and arranged in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Moreover, those skilled in the art will appreciate that although some embodiments described herein include some features included in other embodiments, not others, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in a file download device according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means can be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. An assisted recruitment method, characterized in that the method comprises:
determining a first candidate resume matched with the recruitment post information from the candidate resumes;
generating a recruitment outbound strategy according to the resume of the first candidate and the information of the recruitment post;
performing a first outbound call to a first candidate according to the recruitment outbound strategy to receive first voice information; the first candidate is a recruitment candidate corresponding to the resume of the first candidate;
determining job hunting intention and skill information of the first candidate according to the first voice information;
and when the job hunting intention and skill information meet the preset interview conditions, the first outbound call is transferred to a second outbound call, and the second outbound call is the call between the recruiter and the first candidate.
2. The method of claim 1, wherein determining the first candidate resume from the candidate resumes that matches the recruiting position information comprises:
determining a post label of a post to be recruited according to the information of the recruiting post;
extracting basic attribute labels of the candidate resume from any candidate resume to construct a portrait;
and determining a first candidate resume matched with the recruitment position information from the candidate resumes according to the position tags and the character images.
3. The method of claim 2, wherein determining the first candidate resume from the candidate resumes for matching the recruiting position information based on the position tags and the portrait comprises:
acquiring a second figure portrait of the second candidate resume aiming at each second candidate resume in the candidate resumes;
comparing each basic attribute label of the second portrait with the post label;
and under the condition that the basic attribute tags of the second person portrait are matched with the post tags, determining the second candidate resume as a first candidate resume matched with the recruitment post information.
4. The method of claim 1, wherein after transferring the first outbound call to a second outbound call, the method further comprises:
receiving second voice information of the first candidate;
identifying recommendation information related to a keyword of the second voice information;
and displaying the recommendation information to the recruiter.
5. The method of claim 4, further comprising:
determining the related information of the position of the first candidate according to the second voice information;
and updating the figure portrait corresponding to the first candidate according to the related information of the post.
6. The method of any of claims 2 to 5, further comprising:
and after the second outbound call is finished, submitting an interview result to a human resource system, wherein the interview result comprises the portrait and the evaluation of the recruiter on the first candidate.
7. The method of claim 1, wherein after determining job-seeking intent and skill information for the first candidate based on the first voice information, the method further comprises:
in an instance in which it is determined that the recipient of the first outbound call is not the first candidate, the first candidate is not willing to switch to work, the first candidate is not interested in the recruiting position, or the first candidate does not meet the skill requirement of the recruiting position, ending the first outbound call.
8. An assisted recruitment device, comprising:
the screening module is used for determining a first candidate resume matched with the recruitment post information from all candidate resumes;
the strategy generating module is used for generating a recruitment outbound strategy according to the resume of the first candidate and the information of the recruitment post;
the calling-out module is used for carrying out a first calling-out conversation to a first candidate according to the recruitment calling-out strategy so as to receive first voice information; the first candidate is a recruitment candidate corresponding to the resume of the first candidate;
the first determining module is used for determining job hunting intention and skill information of the first candidate according to the first voice information;
and the switching module is used for switching the first outbound call to a second outbound call when the job hunting intention and the skill information accord with preset interview conditions, wherein the second outbound call is a call between a recruiter and the first candidate.
9. An electronic device, comprising: a processor, a communication interface, a memory, and a communication bus; the processor, the communication interface and the memory are communicated with each other through a communication bus;
a memory for storing a computer program;
a processor for implementing the steps of the assisted recruitment method as claimed in any one of claims 1 to 7 when executing the program stored in the memory.
10. A readable storage medium, characterized in that it stores thereon a program or instructions which, when executed by a processor, carry out the steps of the assisted recruitment method according to any one of claims 1 to 7.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117078220A (en) * | 2023-08-31 | 2023-11-17 | 北京五八信息技术有限公司 | Recruitment service method and device based on AI, electronic equipment and storage medium |
| CN117135275A (en) * | 2023-08-31 | 2023-11-28 | 北京五八信息技术有限公司 | Telephone recruitment method, recruitment system, device, equipment and storage medium |
-
2022
- 2022-08-29 CN CN202211038786.7A patent/CN115511435A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117078220A (en) * | 2023-08-31 | 2023-11-17 | 北京五八信息技术有限公司 | Recruitment service method and device based on AI, electronic equipment and storage medium |
| CN117135275A (en) * | 2023-08-31 | 2023-11-28 | 北京五八信息技术有限公司 | Telephone recruitment method, recruitment system, device, equipment and storage medium |
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