CN114663042A - Intelligent telephone calling recruitment method and device, electronic equipment and storage medium - Google Patents

Intelligent telephone calling recruitment method and device, electronic equipment and storage medium Download PDF

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CN114663042A
CN114663042A CN202210130148.1A CN202210130148A CN114663042A CN 114663042 A CN114663042 A CN 114663042A CN 202210130148 A CN202210130148 A CN 202210130148A CN 114663042 A CN114663042 A CN 114663042A
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CN114663042B (en
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张少飞
杨羽
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Beijing Doumi Youpin Technology Development Co ltd
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Abstract

The present application relates to intelligent recruitment technologies, and in particular, to a method and an apparatus for intelligent phone call recruitment, an electronic device, and a storage medium. The method comprises the following steps: acquiring post information of a recruiting party, extracting post characteristics according to the post information, and establishing a post characteristic library; acquiring information of job seekers, and generating a recruitment outbound conversation plan according to the information of the job seekers and the post feature library; calling according to the recruitment outbound conversation plan, receiving first voice information of the job seeker, and carrying out voice recognition on the first voice information of the job seeker to obtain the intention of the job seeker; recommending post information according to the intention of the job seeker, generating a reply text according to the post information, converting the reply text into reply voice information, responding to the job seeker through the reply voice information, receiving second voice information of the job seeker, and performing voice recognition on the second voice information of the job seeker to obtain the intention of the job seeker; and screening out the matched post information according to the intention of the job seeker, and updating the post information into the job seeker information.

Description

Intelligent telephone calling recruitment method and device, electronic equipment and storage medium
Technical Field
The present application relates to intelligent recruitment technologies, and in particular, to a method and an apparatus for intelligent phone call recruitment, an electronic device, and a storage medium.
Background
With the development of computers and communication technologies, a recruitment advisor uses a traditional call center system to perform enterprise post recruitment communication, and with the increase of recruitment requirements, in order to ensure recruitment efficiency, the number of recruiting advisors and the number of calling agents need to be increased by using a traditional recruitment method, so that the labor and material resource cost of the recruitment enterprise is rapidly increased, and once the enterprise recruitment requirements enter a slack season, the recruitment enterprise has the condition of labor waste of the recruiting advisors.
The intelligent outbound system can establish a recruitment conversation plan according to the characteristics of recruitment posts, match the resumes of related job seekers to automatically call, recognize voice according to a call conversation process, recommend the related posts after intention recognition of the job seekers, finally collect and record the job seekers with high intention of the recruitment posts, and assign recruitment consultants to communicate urgently so as to improve recruitment efficiency.
At present, a lot of automatic telephone outgoing call systems are available on the market, and although the total recruitment efficiency can be improved to a certain extent, the outgoing call conversation process is not humanized enough, and more relevant post information cannot be dynamically recommended according to the intention of a job seeker, so that the recruitment success conversion rate is not high.
Accordingly, a technical solution is desired to overcome or at least alleviate at least one of the above-mentioned drawbacks of the prior art.
Disclosure of Invention
An object of the present application is to provide a method, an apparatus, an electronic device and a storage medium for calling and recruiting a smart phone, so as to solve at least one problem in the prior art.
The technical scheme of the application is as follows:
a first aspect of the present application provides a smart phone call recruitment method, comprising:
step one, acquiring post information of a recruiter, extracting post characteristics according to the post information, and establishing a post characteristic library;
step two, acquiring information of job seekers, and generating a recruitment outbound conversation plan according to the information of the job seekers and the post feature library;
thirdly, calling according to the recruitment outbound conversation plan, receiving first voice information of the job seeker, and carrying out voice recognition on the first voice information of the job seeker to obtain the intention of the job seeker;
step four, recommending post information according to the intention of the job seeker, generating a reply text according to the post information, converting the reply text into reply voice information, responding the job seeker through the reply voice information, receiving second voice information of the job seeker, and performing voice recognition on the second voice information of the job seeker to obtain the intention of the job seeker;
and fifthly, screening out matched post information according to the intention of the job seeker, and updating the screened post information into the job seeker information.
In at least one embodiment of the present application, in the first step, the acquiring post information of the recruiter, and performing post feature extraction according to the post information, and the establishing a post feature library includes:
acquiring multidimensional position information, wherein each dimension is configured with a corresponding label;
and extracting the corresponding dimension label to generate a post feature library.
In at least one embodiment of the present application, in the second step, the acquiring information of the job seeker and generating the recruitment outbound conversation plan according to the information of the job seeker and the post feature library include:
acquiring multi-dimensional job seeker information, wherein each dimension is provided with a corresponding label, the job seeker information comprises resume information of job seekers and behaviors of the job seekers on sites, and the dimension of the job seeker information is the same as that of the post information;
extracting corresponding dimension labels to generate a job seeker intention feature library;
matching and sorting are carried out according to the intention feature library of the job seeker and the post feature library, and a matching set of the job seeker is obtained;
Figure BDA0003502284530000021
Figure BDA0003502284530000022
Ci＝C1+(i-1)d
wherein, A is a post feature vector, B is an intention feature vector of the worker, Y (A, B) is the matching degree of the post feature vector and the intention feature vector of the worker, n is the dimension of the feature vector, and C is the weight vector of each dimension;
and generating a recruitment outbound conversation plan according to the post feature library and the job seeker matching set.
In at least one embodiment of the application, in step three, the calling according to the recruitment outbound conversation plan and receiving the first voice information of the job seeker, and performing voice recognition on the first voice information of the job seeker to obtain the intention of the job seeker includes:
analyzing the recruitment outbound conversation plan to obtain a calling strategy, wherein the calling strategy comprises an opening voice type and a telephone of a job seeker;
matching the opening voice according to the opening voice type, calling according to the telephone of the job seeker, and playing the opening voice;
receiving first voice information of a job seeker;
converting first voice information of job seekers into text information;
performing word segmentation on the text information to obtain corpus information, performing space vector mapping on the corpus information to obtain word vectors, performing image feature combination on the word vectors to generate combination features, and performing classification processing on the combination features and the word vectors to obtain the intention of the job seeker.
A second aspect of the present application provides a smart phone call recruitment device comprising:
the post characteristic library establishing module is used for acquiring post information of a recruiter, extracting post characteristics according to the post information and establishing a post characteristic library;
the recruitment outbound conversation plan generating module is used for acquiring information of job seekers and generating a recruitment outbound conversation plan according to the information of the job seekers and the post feature library;
the job seeker intention recognition module is used for calling according to the recruitment outbound conversation plan, receiving first voice information of a job seeker and performing voice recognition on the first voice information of the job seeker to obtain the intention of the job seeker;
the job seeker intention recognition module is used for recommending the post information according to the intention of the job seeker, generating a reply text according to the post information, converting the reply text into reply voice information, responding to the job seeker through the reply voice information, receiving second voice information of the job seeker, and performing voice recognition on the second voice information of the job seeker to obtain the intention of the job seeker;
and the job seeker information updating module is used for screening out matched post information according to the intention of the job seeker and updating the screened post information into the job seeker information.
In at least one embodiment of the present application, the post feature library establishing module includes:
the post information acquisition unit is used for acquiring multi-dimensional post information, and each dimension is provided with a corresponding label;
and the post feature library generating unit is used for extracting the corresponding dimension label to generate a post feature library.
In at least one embodiment of the present application, the recruitment outbound conversation plan generation module comprises:
the job seeker information acquisition unit is used for acquiring multi-dimensional job seeker information, each dimension is provided with a corresponding label, the job seeker information comprises job seeker resume information and behavior of a job seeker on a site, and the dimension of the job seeker information is the same as that of the post information;
the job seeker intention feature library generating unit is used for extracting the corresponding dimension labels to generate a job seeker intention feature library;
the matching sorting unit is used for performing matching sorting according to the intention feature library of the job seeker and the post feature library to obtain a matching set of the job seeker;
Figure BDA0003502284530000041
Figure BDA0003502284530000042
Ci＝C1+(i-1)d
wherein, A is a post feature vector, B is an intention feature vector of the worker, Y (A, B) is the matching degree of the post feature vector and the intention feature vector of the worker, n is the dimension of the feature vector, and C is the weight vector of each dimension;
and the recruitment outbound conversation plan generating unit is used for generating a recruitment outbound conversation plan according to the post feature library and the job seeker matching set.
In at least one embodiment of the present application, the job seeker intent identification module comprises:
the task analysis unit is used for analyzing the recruitment outbound conversation plan to obtain a calling strategy, and the calling strategy comprises an opening voice type and a telephone of a job seeker;
the calling unit is used for matching the opening voice according to the opening voice type, calling according to the telephone of the job seeker and playing the opening voice;
the voice receiving unit is used for receiving first voice information of job seekers;
the ASR voice recognition unit is used for converting the first voice information of the job seeker into text information;
an NLU speech understanding unit comprising:
the named entity identifying subunit is used for performing word segmentation on the text information to obtain corpus information;
the word embedding subunit is used for carrying out space vector mapping on the corpus information to obtain a word vector;
the combination subunit is used for carrying out graph feature combination on the word vectors to generate combination features;
and the classification subunit is used for classifying the combined features and the word vectors to obtain the intention of the job seeker.
A third aspect of the present application provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, when executing the computer program, implementing a smart phone call recruitment method as described above.
A fourth aspect of the present application provides a computer readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, is capable of implementing a smart phone call recruitment method as described above.
The invention has at least the following beneficial technical effects:
according to the intelligent telephone call recruitment method, the real intention of the job seeker is identified through the matching of the post information and the job seeker information and the automatic telephone call-out conversation mode, the post information matched with the job seeker is recommended and introduced, the willingness of the job seeker to the related recommended post is collected and recorded according to the voice conversation process, the highly-willing job seeker and the matched post are screened, the recruitment efficiency of a recruitment advisor is improved, and the labor cost of the recruitment advisor is further reduced.
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Fig. 1 is a flow chart of a method for intelligent telephone call recruitment in accordance with an embodiment of the present application;
fig. 2 is a schematic view of a smart phone call recruitment device according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a post feature library creation module according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a recruitment outbound conversation plan generation module according to one embodiment of the subject application;
FIG. 5 is a schematic diagram of a job seeker intent recognition module according to one embodiment of the present application;
fig. 6 is a schematic structural diagram of a computer device suitable for implementing the terminal or the server according to the embodiment of the present application.
Wherein:
100-a post characteristic library establishing module; 101-position information acquisition unit; 102-station characteristic library generating unit; 200-recruitment outbound conversation plan generating module; 201-job seeker information acquisition unit; 202-job seeker intention feature library generating unit; 203-matching sorting unit; 204-recruitment outbound conversation technology generating unit; 300-job seeker intention identification module; 301-a task parsing unit; 302-a calling unit; 303-a voice receiving unit; 304-an ASR speech recognition unit; 305-NLU speech understanding unit; 400-job seeker intention identification module; 500-job seeker information updating module; 600-a computer device; 601-a CPU; 602-ROM; 603-RAM; 604-a bus; 605-I/O interface; 606-an input section; 607-output section; 608-a storage section; 609-a communication part; 610-a driver; 611 — removable media.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are a subset of the embodiments in the present application and not all embodiments in the present application. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application. Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
In the description of the present application, it is to be understood that the terms "central," "longitudinal," "lateral," "front," "back," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like are used in the orientations and positional relationships indicated in the drawings, which are based on the orientation or positional relationship shown in the drawings, and are used for convenience in describing the present application and for simplicity in description, but do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and therefore should not be construed as limiting the scope of the present application.
The present application is described in further detail below with reference to fig. 1 to 6.
A first aspect of the present application provides a method for intelligent phone call recruitment, comprising:
s100, acquiring post information of a recruiter, extracting post characteristics according to the post information, and establishing a post characteristic library;
s200, acquiring information of job seekers, and generating a recruitment outbound conversation plan according to the information of the job seekers and the post feature library;
s300, calling according to the recruitment outbound conversation plan, receiving first voice information of the job seeker, and carrying out voice recognition on the first voice information of the job seeker to obtain the intention of the job seeker;
s400, recommending post information according to the intention of the job seeker, generating a reply text according to the post information, converting the reply text into reply voice information, responding to the job seeker through the reply voice information, receiving second voice information of the job seeker, and performing voice recognition on the second voice information of the job seeker to obtain the intention of the job seeker;
s500, screening out matched post information according to the intention of the job seeker, and updating the screened post information into the job seeker information.
In a preferred embodiment of the present application, in S100, the acquiring post information of the recruiter, and performing post feature extraction according to the post information, and the establishing a post feature library specifically includes:
acquiring multidimensional position information, wherein each dimension is configured with a corresponding label;
and extracting the corresponding dimension label to generate a post feature library.
According to the intelligent telephone call recruitment method, multi-dimensional post information is extracted from recruitment information issued by a recruiter, in the embodiment, the dimensions of the post information can comprise post first-level categories (such as full-time and part-time), post second-level categories (such as sales and catering), post third-level categories (such as network sales, telephone sales, waiters and chefs), working sites, post names, academic requirements, working experience requirements, salary levels, sex requirements and benefits (such as packaging, eating, traffic subsidies and lifting). And setting corresponding labels according to different dimensions, and then generating a post feature library by extracting related dimension labels.
In this embodiment, in S200, the acquiring information of the job seeker and the generating a recruitment outbound conversation plan according to the information of the job seeker and the post feature library include:
acquiring multi-dimensional job seeker information, wherein each dimension is provided with a corresponding label, the job seeker information comprises resume information of job seekers and behaviors of the job seekers on sites, and the dimension of the job seeker information is the same as that of the post information;
extracting corresponding dimension labels to generate a job seeker intention feature library;
matching and sorting are carried out according to the intention feature library of the job seeker and the post feature library to obtain a matching set of the job seeker;
Figure BDA0003502284530000071
Figure BDA0003502284530000072
Ci＝C1+(i-1)d
wherein, A is a post feature vector, B is an intention feature vector of the worker, Y (A, B) is the matching degree of the post feature vector and the intention feature vector of the worker, n is the dimension of the feature vector, and C is the weight vector of each dimension;
and generating a recruitment outbound conversation plan according to the post feature library and the job seeker matching set.
The application of the method for calling and recruiting the intelligent telephone acquires information of job seekers, wherein the information of the job seekers comprises resume information of the job seekers and behaviors of the job seekers on sites, and the behaviors of the job seekers on the sites are as follows: the method comprises the steps of screening post types, checking the checking number, the access frequency and the access duration of different post types, checking the frequency and the registration frequency of a work place, judging whether searching and searching word information are carried out or not, collected or shared positions, chatting conditions with a position HR (human resource) and the like, extracting multi-dimensional job seeker information from resume information of job seekers and behaviors of job seekers on sites, generating a job seeker intention feature library according to the multi-dimensional job seeker information, calculating the matching degree between the job seeker intention feature library and a post feature library, carrying out matching sorting to obtain a job seeker matching set with the corresponding post information in the post feature library from high to low, and finally making a corresponding recruitment outbound conversation plan according to the mutually corresponding post information and the job seeker matching set. In the preferred embodiment of the present application, weights are preferably configured for information of each dimension, and when performing matching degree calculation, corresponding weights may be set according to the importance of each dimension, so that the finally obtained job seeker matching set has more emphasis. In this embodiment, an equal-difference weight distribution policy is provided, and in practical application, any appropriate weight distribution policy may be set according to requirements.
In this embodiment, in S300, the calling according to the recruitment outbound conversation plan, receiving the first voice information of the job seeker, and performing voice recognition on the first voice information of the job seeker to obtain the intention of the job seeker includes:
analyzing the recruitment outbound conversation plan to obtain a calling strategy, wherein the calling strategy comprises an opening voice type and a telephone of a job seeker;
matching the opening voice according to the opening voice type, calling according to the telephone of the job seeker, and playing the opening voice;
receiving first voice information of a job seeker;
converting first voice information of the job seeker into text information;
the method comprises the steps of segmenting words of text information to obtain corpus information, mapping space vectors of the corpus information to obtain word vectors, combining image features of the word vectors to generate combined features, and classifying the combined features and the word vectors to obtain the intention of a job seeker.
According to the intelligent telephone call recruitment method, a recruitment external call conversation plan needs to be analyzed, the starting voice type matched with a job seeker and the telephone of the job seeker are obtained, the corresponding starting voice is played after the call, the voice information of the job seeker is collected to identify the intention of the job seeker, and the intention of the job seeker comprises the urgency degree of the job seeker wanting to find work, interested post categories, waiting and working distance requirements and the like. In this embodiment, the opening voice type includes a high/medium/low intention to find, a big job category (e.g., full-time-sales category, part-time-dining category) related, a near priority related distance, a high priority related salary, and the like. The on-scene voice comprises inquiry confirmation of work intention, inquiry of post type, inquiry of post distance salary requirement and the like.
According to the method for calling and recruiting the intelligent telephone, after the intention of a job seeker is obtained, relevant post recommendation and introduction are carried out according to the intention of the job seeker in S400, the job seeker collects voice information containing the final intention of the job seeker after listening to the post recommendation and introduction, the intention of the job seeker is finally identified from the voice information, and the process of identifying the intention of the job seeker is the same as the process of identifying the intention of the job seeker.
According to the intelligent telephone call recruitment method, in S500, the post information is further screened according to the intention of the job seeker, and the screened post information is updated to the information of the job seeker. The job seeker with high intention and the corresponding post information are screened, and the recruitment consultant can be assigned to conduct targeted communication, so that recruitment efficiency is improved, and the labor cost of the recruitment consultant is reduced.
Based on the above method for recruitment by smartphone, a second aspect of the present application provides a device for recruitment by smartphone, comprising:
the post characteristic library establishing module 100 is used for acquiring post information of a recruiter, extracting post characteristics according to the post information and establishing a post characteristic library;
the recruitment outbound conversation plan generating module 200 is used for acquiring information of job seekers and generating a recruitment outbound conversation plan according to the information of the job seekers and the post feature library;
the job seeker intention identifying module 300 is used for calling according to the recruitment outbound conversation plan, receiving first voice information of the job seeker and carrying out voice identification on the first voice information of the job seeker to obtain the intention of the job seeker;
the job seeker intention recognition module 400 is used for recommending the post information according to the intention of the job seeker, generating a reply text according to the post information, converting the reply text into reply voice information, responding the job seeker through the reply voice information, receiving second voice information of the job seeker, and performing voice recognition on the second voice information of the job seeker to obtain the intention of the job seeker;
and the job seeker information updating module 500 is used for screening out matched post information according to the intention of the job seeker and updating the screened post information into the job seeker information.
In a preferred embodiment of the present application, the station feature library establishing module 100 includes:
a post information obtaining unit 101, configured to obtain multi-dimensional post information, where each dimension is configured with a corresponding tag;
and the post feature library generating unit 102 is used for extracting the corresponding dimension label to generate a post feature library.
In this embodiment, the post information obtaining unit 101 includes a post information obtaining subunit and a post information managing subunit, where the post information obtaining subunit is configured to extract the post information from the recruitment information issued by the recruiter, and implement storage of the post information; the post information management subunit is used for dividing the post information into a plurality of dimensions and configuring corresponding labels for the dimensions.
In a preferred embodiment of the present application, the recruitment outbound conversation plan generation module 200 comprises:
the job seeker information acquiring unit 201 is used for acquiring multi-dimensional job seeker information, each dimension is configured with a corresponding label, the job seeker information comprises job seeker resume information and behavior of a job seeker on a site, and the job seeker information and the post information have the same dimension;
the job seeker intention feature library generating unit 202 is used for extracting the corresponding dimension labels to generate a job seeker intention feature library;
the matching sorting unit 203 is used for performing matching sorting according to the intention feature library and the post feature library of the job seeker to obtain a matching set of the job seeker;
Figure BDA0003502284530000101
Figure BDA0003502284530000102
Ci＝C1+(i-1)d
wherein, A is a post feature vector, B is an intention feature vector of the worker, Y (A, B) is the matching degree of the post feature vector and the intention feature vector of the worker, n is the dimension of the feature vector, and C is the weight vector of each dimension;
and the recruitment outbound conversation plan generating unit 204 is used for generating a recruitment outbound conversation plan according to the post feature library and the job seeker matching set.
In this embodiment, the job seeker information obtaining unit 201 includes a job seeker resume information obtaining subunit and a job seeker behavior obtaining subunit on the site, the job seeker resume information obtaining subunit is used for obtaining resume information issued by the job seeker, and the job seeker behavior obtaining subunit on the site is used for obtaining a job seeker behavior on the site.
In a preferred embodiment of the present application, the job seeker intent identification module 300 includes:
the task analysis unit 301 is configured to analyze the recruitment outbound conversation plan to obtain a calling policy, where the calling policy includes an opening voice type and a call of a job seeker;
the calling unit 302 is used for matching the opening voice according to the opening voice type, calling according to the telephone of the job seeker and playing the opening voice;
a voice receiving unit 303, configured to receive first voice information of a job seeker;
an ASR speech recognition unit 304 for converting the first speech information of the job seeker into text information;
NLU speech understanding unit 305 includes:
the named entity identifying subunit is used for performing word segmentation on the text information to obtain corpus information;
the word embedding subunit is used for mapping the spatial vector of the corpus information to obtain a word vector;
the combination subunit is used for carrying out graph feature combination on the word vectors to generate combination features;
and the classification subunit is used for performing classification processing on the combined features and the word vectors to obtain the intention of the job seeker.
In this embodiment, the calling unit 302 includes a voice matching subunit, a calling subunit, and a voice playing subunit, where the voice matching subunit is configured to extract the opening voice of a predetermined opening voice type from the opening voice library, the calling subunit is configured to make a call according to multiple concurrent lines of the telephone of the job seeker, and the voice playing subunit is configured to play the extracted opening voice to the job seeker. The speech receiving unit 303 is configured to receive speech information of the job seeker and send the speech information to the ASR speech recognition unit 303, and finally obtain the intention of the job seeker through the NLU speech understanding unit 305.
In the preferred embodiment of the present application, the job seeker intention recognition module 400 includes an NLG language generation unit, a TTS speech synthesis unit, and in addition, the job seeker intention recognition module 400 shares a speech playing subunit, a speech receiving unit 303, and an ASR speech recognition unit 304 with the job seeker intention recognition module 300. The NLG language generation unit is used for recommending the post information according to the intention of the job seeker and generating a reply text according to the post information; the TTS voice synthesis unit is used for converting the reply text into reply voice information; the voice playing subunit is used for playing the reply voice message to answer the job seeker; the voice receiving unit 303 is configured to receive second voice information of the job seeker; the ASR speech recognition unit 304 is configured to perform speech recognition on the second speech information of the job seeker to obtain the intention of the job seeker.
The intelligent telephone calls the recruitment device, and the post information is screened and updated into the job seeker information of the job seeker information acquisition unit 201 through the job seeker information updating module 500.
In another aspect of the application, a computer device is provided, comprising a processor, a memory, and a computer program stored on the memory and executable on the processor, the processor executing the computer program for implementing the above-described smart phone call recruitment method.
Referring now to FIG. 6, shown is a schematic diagram of a computer device 600 suitable for use in implementing embodiments of the present application. The computer device shown in fig. 6 is only an example, and should not bring any limitation to the function and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer apparatus 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM603, various programs and data necessary for the operation of the apparatus 600 are also stored. The CPU601, ROM602, and RAM603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. A driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.
In particular, according to embodiments of the present application, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such embodiments, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 601. It should be noted that the computer storage media of the present application can be computer readable signal media or computer readable storage media or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules or units described in the embodiments of the present application may be implemented by software or hardware. The modules or units described may also be provided in a processor, the names of which in some cases do not constitute a limitation on the module or unit itself.
As another aspect, the present application also provides a computer-readable storage medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable storage medium carries one or more programs which, when executed by the apparatus, process data in the manner described above.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. A method of intelligent telephone call recruitment, comprising:
step one, acquiring post information of a recruiter, extracting post characteristics according to the post information, and establishing a post characteristic library;
step two, acquiring information of job seekers, and generating a recruitment outbound conversation plan according to the information of the job seekers and the post feature library;
thirdly, calling according to the recruitment outbound conversation plan, receiving first voice information of the job seeker, and carrying out voice recognition on the first voice information of the job seeker to obtain the intention of the job seeker;
step four, recommending post information according to the intention of the job seeker, generating a reply text according to the post information, converting the reply text into reply voice information, responding the job seeker through the reply voice information, receiving second voice information of the job seeker, and performing voice recognition on the second voice information of the job seeker to obtain the intention of the job seeker;
and step five, screening out matched post information according to the intention of the job seeker, and updating the screened-out post information into the job seeker information.
2. The intelligent telephone call recruitment method according to claim 1 wherein in step one, the acquiring of the post information of the recruiter and the post feature extraction according to the post information, and the establishing of the post feature library comprises:
acquiring multidimensional position information, wherein each dimension is configured with a corresponding label;
and extracting the corresponding dimension label to generate a post feature library.
3. The intelligent telephone call recruitment method of claim 2 wherein in step two, the obtaining of the job seeker information and the generating of the recruitment outbound conversation plan based on the job seeker information and the post feature library comprises:
acquiring multi-dimensional job seeker information, wherein each dimension is provided with a corresponding label, the job seeker information comprises resume information of job seekers and behaviors of the job seekers on sites, and the dimension of the job seeker information is the same as that of the post information;
extracting corresponding dimension labels to generate a job seeker intention feature library;
matching and sorting are carried out according to the intention feature library of the job seeker and the post feature library, and a matching set of the job seeker is obtained;
Figure FDA0003502284520000021
Figure FDA0003502284520000022
Ci＝C1+(i-1)d
wherein, A is a post feature vector, B is an intention feature vector of the worker, Y (A, B) is the matching degree of the post feature vector and the intention feature vector of the worker, n is the dimension of the feature vector, and C is the weight vector of each dimension;
and generating a recruitment outbound conversation plan according to the post feature library and the job seeker matching set.
4. The method for intelligent telephone call recruitment according to claim 3, wherein in step three, the calling according to the recruitment outbound conversation plan and receiving the first voice information of the job seeker, and the voice recognition of the first voice information of the job seeker to obtain the intention of the job seeker comprises:
analyzing the recruitment outbound conversation plan to obtain a calling strategy, wherein the calling strategy comprises an opening voice type and a telephone of a job seeker;
matching the opening voice according to the opening voice type, calling according to the telephone of the job seeker, and playing the opening voice;
receiving first voice information of a job seeker;
converting first voice information of job seekers into text information;
performing word segmentation on the text information to obtain corpus information, performing space vector mapping on the corpus information to obtain word vectors, performing image feature combination on the word vectors to generate combination features, and performing classification processing on the combination features and the word vectors to obtain the intention of the job seeker.
5. A smart phone call recruitment device comprising:
the post characteristic library establishing module is used for acquiring post information of a recruiter, extracting post characteristics according to the post information and establishing a post characteristic library;
the recruitment outbound conversation plan generating module is used for acquiring information of job seekers and generating a recruitment outbound conversation plan according to the information of the job seekers and the post feature library;
the job seeker intention recognition module is used for calling according to the recruitment outbound conversation plan, receiving first voice information of the job seeker and carrying out voice recognition on the first voice information of the job seeker to obtain the intention of the job seeker;
the job seeker intention recognition module is used for recommending the post information according to the intention of the job seeker, generating a reply text according to the post information, converting the reply text into reply voice information, responding to the job seeker through the reply voice information, receiving second voice information of the job seeker, and performing voice recognition on the second voice information of the job seeker to obtain the intention of the job seeker;
and the job seeker information updating module is used for screening out matched post information according to the intention of the job seeker and updating the screened post information into the job seeker information.
6. The smart phone call recruitment device of claim 5 wherein the post feature library creation module comprises:
the post information acquisition unit is used for acquiring multi-dimensional post information, and each dimension is provided with a corresponding label;
and the post feature library generating unit is used for extracting the corresponding dimension label to generate a post feature library.
7. The smart phone call recruitment device of claim 6 wherein the recruitment outbound conversation plan generation module comprises:
the job seeker information acquisition unit is used for acquiring multi-dimensional job seeker information, each dimension is provided with a corresponding label, the job seeker information comprises job seeker resume information and behavior of a job seeker on a site, and the dimension of the job seeker information is the same as that of the post information;
the job seeker intention feature library generating unit is used for extracting the corresponding dimension labels to generate a job seeker intention feature library;
the matching sorting unit is used for performing matching sorting according to the intention feature library of the job seeker and the post feature library to obtain a matching set of the job seeker;
Figure FDA0003502284520000031
Figure FDA0003502284520000032
Ci＝C1+(i-1)d
wherein, A is a post feature vector, B is an intention feature vector of the worker, Y (A, B) is the matching degree of the post feature vector and the intention feature vector of the worker, n is the dimension of the feature vector, and C is the weight vector of each dimension;
and the recruitment outbound conversation plan generating unit is used for generating a recruitment outbound conversation plan according to the post feature library and the job seeker matching set.
8. The smart phone call recruitment device of claim 7 wherein the job seeker intent recognition module comprises:
the task analysis unit is used for analyzing the recruitment outbound conversation plan to obtain a calling strategy, and the calling strategy comprises an opening voice type and a telephone of a job seeker;
the calling unit is used for matching the opening voice according to the opening voice type, calling according to the telephone of the job seeker and playing the opening voice;
the voice receiving unit is used for receiving first voice information of job seekers;
the ASR voice recognition unit is used for converting the first voice information of the job seeker into text information;
an NLU speech understanding unit comprising:
the named entity identifying subunit is used for performing word segmentation on the text information to obtain corpus information;
the word embedding subunit is used for carrying out space vector mapping on the corpus information to obtain a word vector;
the combination subunit is used for carrying out graph feature combination on the word vectors to generate combination features;
and the classification subunit is used for performing classification processing on the combined features and the word vectors to obtain the intention of the job seeker.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the processor, when executing the computer program, implements a smart phone call recruitment method as recited in any one of claims 1-4.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, is capable of implementing a smart phone call recruitment method as recited in any one of claims 1-4.
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