Employment Support Device, Employment Support System, Employment Support Method

Abstract

To support an effective hiring activity of an employer.SOLUTION: The present invention relates to a hiring support system for supporting a hiring activity of an employer, and the hiring support system includes: a key phrase selecting unit for selecting a key phrase that shows features of an employer from text information in job seeker information of a job seeker; and a message plan generation unit for generating a message plan for the job seeker on the basis of the key phrase and presenting the message plan to the job seeker.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present disclosure relates to an employment support device, an employment support system, and an employment support method.

Background Art

[0002] In recent years, many job hunting platforms have been operated via the Internet. These job hunting platforms include so-called new graduate employment services targeting students and so-called job changer employment services targeting mid-career employees such as working adults. Companies on the employer side provide job information to these job hunting platforms. Job seekers use these services to obtain job information.

[0003] For example, Patent Document 1 describes a technique related to a job hunting service for providing appropriate job hunting information to job seekers based on the respective information of job seekers and employers.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, employers are required to interview as many candidates as possible with a small number of people and select candidates. It is difficult to conduct efficient recruitment activities simply by performing appropriate job hunting information matching.

[0006] Therefore, the present disclosure has been made in view of the above problems, and the purpose thereof is to support efficient recruitment activities of employers.

Means for Solving the Problems

[0007] According to the present disclosure, there is provided a recruitment support device for supporting the recruitment activities of employers, comprising: a keyword selection unit that selects a keyword representing the characteristics of the job seeker from the text information included in the job seeker information related to the job seeker; and a message draft generation unit that generates a message draft addressed to the job seeker based on the keyword and presents it to the employer.

Effects of the Invention

[0008] According to the present disclosure, an employer can conduct efficient recruitment activities.

Brief Description of the Drawings

[0009]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Figure 6

Modes for Carrying Out the Invention

[0010] The content of the embodiment of the present invention will be listed and described. One embodiment of the present invention has the following configuration. [Item 1] A recruitment support device for supporting the recruitment activities of employers, a keyword selection unit that selects a keyword representing the characteristics of the job seeker from the text information included in the job seeker information related to the job seeker; Generate a message draft for the job seeker based on the keyword phrase and present it to the employer, a message draft generation unit; An employment support device, characterized by comprising the above. [Item 2] The message draft generation unit obtains the editing by the input of the employer. The employment support device according to claim 1, characterized by the above. [Item 3] An analysis unit that assigns a correct tag to the message draft when the matching between the job seeker and the employer is successful based on the message draft; A model generation unit that uses the message draft with the correct tag, the job seeker information, and the employer information related to the employer as teacher data, uses the job seeker information and the employer information as input, and generates a message generation model with the message draft as output by a statistical method; The employment support device according to claim 1 or 2, characterized by comprising the above. [Item 4] The keyword phrase selection unit selects the keyword phrase representing the characteristics of the employer from the employer information related to the employer; A recommendation unit that collates the keyword phrases related to the job seeker and the employer, and presents the job seeker with a high degree of matching or relevance to the employer; The employment support device according to any one of claims 1 to 3, characterized by comprising the above. [Item 5] The message draft generation unit presents, in a manner different from other texts, the sentence containing the keyword phrase in the text information and addressed to the party sending the message. The employment support device according to any one of claims 1 to 4, characterized by the above. [Item 6] An employment support system for supporting the employment activities of employers, A keyword phrase selection function for selecting a keyword phrase representing the characteristics of a job seeker from the text information included in the job seeker information related to the job seeker; Generate a message draft addressed to the job seeker based on the keyword phrase and present it to the employer, which is a message draft generation function; An employment support system characterized by comprising the above. [Item 7] An employment support method for supporting an employer's recruitment activities, comprising: A keyword phrase selection step of selecting a keyword phrase representing the characteristics of a job seeker from text information included in job seeker information related to the job seeker; A message draft generation step of generating a message draft addressed to the job seeker based on the keyword phrase and presenting it to the employer; An employment support method characterized by comprising the above.

[0011] Hereinafter, preferred embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In this specification and the drawings, components having substantially the same functional configuration are denoted by the same reference numerals, and redundant description is omitted.

[0012] The server device 1 of the present embodiment generates a message for the job seeker and the employer to communicate smoothly. The message is not limited to being sent at the first contact, and may include those sent when adjusting the interview schedule or when communicating the acceptance or rejection of employment.

[0013] ==Overview== FIG. 1 is a diagram showing the overall configuration of a server device 1 (employment support device). As shown in FIG. 1, the employment support system includes a server device 1, an employer terminal 3, and a job seeker terminal 4. The server device 1 is connected to the employer terminal 3 and the job seeker terminal 4 via a network 2. Although only one employer terminal 3 and one job seeker terminal 4 are shown, it goes without saying that there may be more. Also, the specific devices of the employer terminal 3 and the job seeker terminal 4 are not limited to mobile terminals and personal computers, and may be, for example, smartphones, tablet computers, wearable terminals, and other electronic devices.

[0014] ==Employer Terminal 3== The applicant terminal 3 is a computer operated by a person in charge (applicant) of an organization such as a company that wishes to recruit. The applicant terminal 3 is, for example, a smartphone, a tablet computer, a personal computer, or the like. The applicant can access the server device 1 through, for example, an application or a web browser executed on the applicant terminal 3.

[0015] ==Job seeker terminal 4== The job seeker terminal 4 is a computer operated by a person with employment aspirations (job seeker). The applicant terminal 3 is, for example, a smartphone, a tablet computer, a personal computer, or the like. The job seeker can access the server device 1 through, for example, an application or a web browser executed on the job seeker terminal 4.

[0016] The configuration of the server device 1 will be described below.

[0017] FIG. 2 is a diagram showing an example of the hardware configuration of the server device 1 according to the present embodiment. The server device 1 includes a processor 101, a memory 102, a storage device 103, a communication interface 104, an input device 105, and an output device 106. The processor 101 is an arithmetic device that controls the operation of the entire server device 1, controls the transmission and reception of data between each element, and performs information processing necessary for the execution and authentication processing of applications. For example, the processor 101 is a processor such as a CPU (Central Processing Unit), and executes programs and the like stored in the storage device 103 and expanded in the memory 102 to perform each information processing. The memory 102 includes a main memory composed of a volatile storage device such as a DRAM (Dynamic Random Access Memory), and an auxiliary memory composed of a non-volatile storage device such as a flash memory or an HDD (Hard Disc Drive). The memory 102 is used as a work area of the processor 101 and stores a BIOS (Basic Input / Output System) executed at the time of startup of the server device 1 and various setting information. The storage device 103 stores various data and programs, such as a hard disk drive, a solid state drive, and a flash memory. The communication interface 104 is an interface for connecting to the network 2, and is, for example, an adapter for connecting to Ethernet (registered trademark), a modem for connecting to a public telephone network, a wireless communication device for performing wireless communication, a USB (Universal Serial Bus) connector or an RS232C connector for serial communication. The input device 105 is a device that receives data input through, for example, a keyboard, a mouse, a touch panel, a button, a microphone, or the like. The output device 106 outputs data and includes, for example, a display, a printer, a speaker, or the like.

[0018] FIG. 3 is a block diagram showing the functional configuration of the server device 1. As shown in FIG. 3, the server device 1 includes a job seeker information acquisition unit 111, a job applicant information acquisition unit 112, a key phrase selection unit 113, a recommendation unit 114, a message draft generation unit 115, a message transmission / reception unit 116, an analysis unit 117, and a model generation unit 118, and also includes a job seeker information storage unit 131, a job applicant information storage unit 132, a message information storage unit 133, and a template information storage unit 134.

[0019] Note that each of the above functional units is realized by the processor 101 provided in the server device 1 reading out and executing a program stored in the storage device 103 into the memory 102, and each of the above storage units is realized as a part of the storage area provided by the memory 102 and the storage device 103 provided in the server device 1.

[0020] Here, in the present embodiment, the data configurations of the job seeker information storage unit 131, the job applicant information storage unit 132, the message information storage unit 133, and the template information storage unit 134 are shown.

[0021] The job seeker information storage unit 131 stores the job seeker information received by the job seeker information acquisition unit 111, an example of which is shown in FIG. 4. As shown in FIG. 4, the job seeker information includes, but is not limited to, basic information such as the company name and the establishment date of the company, and employment information regarding recruitment such as the application requirements and conditions, and screening information including job applicants who have sent messages. The basic information is composed of information such as the company name, representative name, establishment date, history, address, contact information, and business content, linked to the job seeker ID as an example. The employment information is composed of information such as the job type to be applied for, the number of recruits, application requirements, required skills and mindset, and messages from the recruitment staff as an example. The screening information is composed of information such as job applicants who have sent messages, job applicants who have been offered a job, and job applicants who have been hired. Note that information such as words, keywords, and key phrases processed and selected by the key phrase selection unit 113 is also stored as text processing information.

[0022] The job seeker information storage unit 132 stores the job seeker information received by the job seeker information acquisition unit 112, an example of which is shown in FIG. 5. As shown in FIG. 5, the job seeker information includes, but is not limited to, personal information consisting of basic information such as the name of the job seeker, employment information such as work history, selection results, and desired job types up to the present, and selection information such as job offerers who have received messages. The personal information includes, as an example, name, age, address, contact information, academic background (including, but not limited to, university / graduate school name, faculty, department, graduate school, research laboratory name, etc.), self-introduction (including, but not limited to, text, voice, video, etc.), research content, programming skills, paper / conference presentation achievements, awards, and other information associated with the job seeker ID. The selection information includes information such as the current status (job hunting, employed, etc.), work history (including, but not limited to, company name, business unit, section, division, group, etc.), desired job type, and desired conditions. The selection information includes information such as the selection history (job offerers who have received messages, which job offerer has received a job offer, whether the job seeker has joined or declined, and which company has rejected the job seeker). Note that, as text processing information, information such as words, keywords, and key phrases processed and selected by the key phrase selection unit 113 is also stored.

[0023] The message information storage unit 133 stores the message information transmitted or received by the message transmission / reception unit 116. Further, the message information storage unit 133 stores the messages determined by the analysis unit 117 to be effective with correct labels attached.

[0024] The template information storage unit 134 stores the templates used by the message template generation unit 115 when generating messages. The template includes, but is not limited to, a part for inserting the key phrases selected by the key phrase selection unit 113, and a part for affirming the key phrases or asking questions about the key phrases.

[0025] The above is the description of the data configuration of the server device 1.

[0026] Here, in this embodiment, the functions of each functional unit of the job seeker information acquisition unit 111, the job applicant information acquisition unit 112, the key phrase selection unit 113, the recommendation unit 114, the message draft generation unit 115, the message transmission / reception unit 116, the analysis unit 117, and the model generation unit 118 are shown.

[0027] The job seeker information acquisition unit 111 acquires information about job seekers from the job seeker terminal 3 via the network 2. The communication in this transmission and reception may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be executed. Note that the job seeker information may be information collected by an operator conducting business using the server device 1 through hearings, questionnaires, etc. for the job seeker, and input from the terminal used by the operator via the network 2, or directly input to the server device 1. In addition, when the job seeker information acquisition unit 111 acquires an electronic file including voice, it may be converted into text using voice recognition technology. Since a generally used implementation of the voice recognition technology may be used in that case, detailed description is omitted here. Therefore, the information acquired by the job seeker information acquisition unit 111 can be handled as text information.

[0028] The job applicant information acquisition unit 112 acquires information about job applicants from the job applicant terminal 4 via the network 2. The communication in this transmission and reception may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be executed. Note that the job applicant information may be information collected by an operator conducting business using the server device 1 through hearings, questionnaires, etc. for the job applicant, and input from the terminal used by the operator via the network 2, or directly input to the server device 1. In addition, when the job applicant information acquisition unit 112 acquires an electronic file including voice, it may be converted into text using voice recognition technology. Since a generally used implementation of the voice recognition technology may be used in that case, detailed description is omitted here. Therefore, the information acquired by the job applicant information acquisition unit 112 can be handled as text information.

[0029] The keyword selection unit 113 selects characteristic keywords that represent the characteristics and priorities of employers and job seekers from the text information stored in the employer information storage unit and the job seeker information storage unit, and stores them in each storage unit.

[0030] The keyword selection unit 113 can select keywords by means such as text analysis as follows. Note that it is not limited to the following methods, and keywords may be selected by appropriately using text analysis methods.

[0031] First, the keyword selection unit 113 reads out the text information stored in the employer information storage unit 131 and the job seeker information storage unit 132, for example, and extracts phrases that are candidates for keywords from the text information. The keyword selection unit 113, for example, describes a specific pattern based on parts of speech such as "adjective + noun" as a rule, and adopts and extracts phrases that match it as candidates (hereinafter referred to as candidate phrases).

[0032] Next, the keyword selection unit 113 calculates sentence embedding and calculates an embedding vector for the candidate phrases and the text information. Since sentence embedding only needs to output a vector in a certain fixed dimension from the input sentence, it may be executed using, for example, doc2vec, sent2vec, infersent, or other similar methods.

[0033] Next, the keyword selection unit 113 extracts the embedding vectors of the candidate phrases that are close to the vector of the text information based on the similarity, and determines the keywords. After that, the keyword selection unit 113 obtains the top 5 (the number of items to be obtained can be changed), and uses them as keywords for the text information.

[0034] Note that since the key phrase selection unit 113 may obtain duplicate key phrases similar to those extracted by the method described above, for the purpose of providing diversity, the embedding vectors of the key phrases may be compared. In this case, the key phrase selection unit 113 may select, as key phrases, those with a high similarity between the embedding vector of the key phrase and the vector of the text information, and furthermore, those with a low similarity and a large distance between the embedding vectors of the key phrases.

[0035] Furthermore, the key phrase selection unit 113 may select and rank the key phrases for each topic category. The key phrase selection unit 113 may refer to a database of keywords and key phrases with high frequencies included in pre-set categories, such as categories of student life, research content, extracurricular activities, etc., distribute the selected key phrases to each category, and then rank them for each category. Furthermore, when a certain number of key phrases have not been selected for each pre-set category, the key phrase selection unit 113 may promote the key phrases positioned lower and select them as the key phrases for that category.

[0036] Furthermore, the key phrase selection unit 113 may split the text information into words by morphological analysis, score the importance based on the frequency of occurrence of the words, etc., and select the words with high importance as keywords. In this way, the key phrase selection unit 113 generates and selects text processing information (the key phrases, the words, the keywords) based on the text information. Note that the key phrase selection unit 113 may determine the key phrase or the keyword as a point that the employer values at the time of employment (employer point) and a point that the job seeker values when selecting an employer (job seeker point).

[0037] Based on the wishes of the employer regarding employment and the wishes of the job seeker regarding employment, the recommendation unit 114 selects candidates for job seekers suitable for the employer and candidates for employers suitable for the job seeker, and presents them to the other party.

[0038] For example, the recommendation unit 114 collates the text information or text processing information included in the job seeker information with the text information or text processing information included in the job applicant information. The recommendation unit 114 determines the degree of relevance between the text information or text processing information on the job applicant side and the text information or text processing information on the job seeker side, in addition to the degree of match, as a result of the collation. The degree of relevance indicates the degree of relevance between the text information or text processing information on the job applicant side and the text information or text processing information on the job seeker side, and represents the degree of the job seeker required by the job seeker, or the degree of the job seeker required by the job applicant. Note that the degree of relevance may be calculated by, for example, cluster analysis or comparing embedding vectors in the same manner as the key phrase selection unit 113.

[0039] The recommendation unit 114 determines that the degree of match is high, for example, when the job applicant information includes text information that matches the text information such as skills and qualifications required by the job seeker from the job applicant, or when the job seeker information includes text information that matches the employment conditions required by the job applicant from the job seeker, such as specific welfare benefits, i.e., when the text information of the other party's required conditions and the like matches the text information included in the other party. Further, the recommendation unit 114 may make a determination that the degree of match is higher according to the number of items whose degree of match is higher than a predetermined standard.

[0040] Also, for example, when the job seeker designates a specific specialized field as a skill required from the job applicant, the recommendation unit 114 determines that the relevance is high when the job applicant information includes text information related to the specialized field, or the degree of inclusion thereof, i.e., when the text information related to the text information of the other party's required conditions and the like is included. Further, the recommendation unit 114 may determine that the degree of relevance is even higher when the type or the number of the relevant text information is large.

[0041] Furthermore, the recommendation unit 114 may determine the degree of match or the degree of relevance by collating the job seeker points and the job applicant points.

[0042] Furthermore, the recommendation unit 114 may present the job seeker or job applicant who has been determined to have a high degree of match or relevance as described above to the other party. As a method of presenting to the other party, for example, the presentation may be made in descending order of the degree of match or relevance, or the degree of match or relevance may be expressed numerically or by providing levels and indicating the degree within them.

[0043] The message draft generation unit 115 generates a message to be sent to the other party, presents it to the party sending the message, and obtains editing from the party.

[0044] The message draft generation unit 115, for example, includes the key phrases selected by the key phrase selection unit 113, and calls from the template information storage unit 134 a template that forms a context showing interest in the other party, such as an affirmation of the key phrase or a question regarding the key phrase, to generate a message. For example, as an example, if there is text information in the job applicant information such as "Since entering the research laboratory in graduate school, I have been conducting research and have made annual conference presentations three times a year on average.", and the key phrase selection unit 113 selects "Annual conference presentations three times a year" as a key phrase, the message draft generation unit 115 applies it to the template "(Key phrase) is an excellent achievement, isn't it?" from the template information storage unit 134 to generate a message "Annual conference presentations three times a year is an excellent achievement, isn't it?". Note that when applying the key phrase to the template, the message draft generation unit 115 may not only simply apply the key phrase to the template, but also change conjunctions and the like included in the key phrase or the template to correct Japanese.

[0045] When the message draft generation unit 115 generates a message draft for a job applicant, it presents the message draft to the job seeker, and when it generates a message draft for a job seeker, it presents the message draft to the job applicant. The message draft presented by the message draft generation unit 115 is presented in an editable manner to the party sending the message, and editing of the message draft by the party is obtained.

[0046] Note that the message draft generation unit 115 may select a sentence including the key phrases selected by the key phrase selection unit 113 and present the sentence to the job seeker or the applicant. The presentation method may be a method of presenting only the sentence, or may be a method of presenting the sentence in a manner different from other texts, such as in a highlighted state. Further, the presentation method may be a method of presenting the entire text with such a sentence in a manner different from other texts. Further, after presenting the sentence, the message draft generation unit 115 may present a message creation form to the job seeker or the applicant. In that case, the message draft generation unit 115 may also present information serving as a guide for creating a message, such as "Please comment on your student life", "Please comment on your research content", and "Please comment on your previous occupations".

[0047] Furthermore, the message draft generation unit 115 may generate a message based on the message generation model generated by the model generation unit 118 described later.

[0048] The message transmission / reception unit 116 provides a function capable of transmitting and receiving messages between the job seeker terminal 3 and the applicant terminal 4. The message transmission / reception unit 116 transmits the message obtained by acquiring the editing of the sender for the message draft generated by the message draft generation unit 115 when the sender clicks or taps a transmission button or the like indicating the intention to transmit, to the other party. Note that the generated message draft may be transmitted as it is as a message. Further, the message transmission / reception unit 116 receives the transmitted message. Note that the message transmission / reception unit 116 is an example of a message transmission unit.

[0049] Note that the message transmission / reception unit 116 stores, in the message information storage unit 133 while specifying the sender and the receiver, for example, the transmitted message, the message draft generated by the message draft generation unit 115, and the content of the received editing.

[0050] The analysis unit 117 analyzes the message draft generated by the message draft generation unit 115, the received edits, and the messages transmitted and received by the message transmission / reception unit 116.

[0051] For example, based on the message draft generated by the message draft generation unit 115, when the amount of editing to the message obtained from the party to send is small, the analysis unit 117 determines that the generated message was effective. Also, when a reply is made after the message is received, the analysis unit 117 may determine that the transmitted message was effective. Further, after the message is transmitted, the analysis unit 117 obtains information such as an interview was conducted, employment was achieved, and determines that the message was effective. In this case, the analysis unit 117 stores in the message information storage unit 133 with the correct label for the message determined to be effective.

[0052] The model generation unit 118 generates a message generation model that generates messages effective for the other party. The model generation unit 118, for example, based on the job seeker information, the job applicant information, and the message information, for groups of job applicants such as the academic background of the job applicant, desired occupation, or experience (such as type of part-time job or content of research), and / or for groups of job seekers with similar business concepts, applied occupations, required mindsets, etc., generates a message generation model that generates effective messages by a statistical method. As a method for generating the message generation model used by the model generation unit 118, classification, regression, correlation analysis, calculation of feature importance, clustering, etc. may be performed. Also, since these statistical models may generally use implementations used in statistics, detailed description is omitted here. The input data for the message generation model generated by these methods is, for example, the text information, the key phrases, the keywords, and the message information, and the message information with the correct label given by the analysis unit 117 may be used as the correct information.

[0053] Using FIG. 8, the flow of representative processing in this embodiment will be described. First, the job seeker information acquisition unit 111 acquires job seeker information (1001). Next, the job applicant information acquisition unit 112 acquires job applicant information (1002). The key phrase selection unit 113 performs language processing on the text information included in the job seeker information and the job applicant information, and selects key phrases (1003). The message draft generation unit 115 applies the key phrases to the templates called from the template information storage unit 134 to generate messages (1004). At this time, the message draft generation unit 115 may obtain the editing of the generated message from the party that transmits the message. The message transmission / reception unit 116 receives the instruction of the party, transmits the message to the other party (1005), and stores the message information in the message information storage unit 133. The analysis unit analyzes the interaction between the two after the message is sent and the relationship with employment, and analyzes the effective messages (1006). The model generation unit 118 generates a message generation model for message generation using the effective messages as correct data (1007).

[0054] As described above, the preferred embodiments of the present disclosure have been described in detail with reference to the accompanying drawings. However, the technical scope of the present disclosure is not limited to such examples. It is obvious that those having ordinary knowledge in the technical field of the present disclosure can come up with various modification examples or correction examples within the scope of the technical idea described in the claims, and these are naturally understood to belong to the technical scope of the present disclosure.

[0055] The apparatus described in this specification may be realized as a single apparatus, or may be realized by a plurality of apparatuses (for example, cloud servers) partially or entirely connected by a network. For example, the processor 101 and the storage device 103 of the server device 1 may be realized by different servers connected to each other by a network.

[0056] The series of processes by the apparatus described in this specification may be realized using any of software, hardware, and combinations of software and hardware. It is possible to create a computer program for realizing each function of the server device 1 according to this embodiment and install it on a PC or the like. Further, a computer-readable recording medium storing such a computer program can also be provided. The recording medium is, for example, a magnetic disk, an optical disk, a magneto-optical disk, a flash memory, or the like. Further, the above computer program may be distributed via a network or the like without using a recording medium.

[0057] Also, the processes described using flowcharts in this specification do not necessarily have to be executed in the order shown. Some processing steps may be executed in parallel. Further, additional processing steps may be adopted, and some processing steps may be omitted.

[0058] Also, the effects described in this specification are merely illustrative or exemplary and not restrictive. That is, the technology according to the present disclosure may exhibit other effects apparent to those skilled in the art from the description in this specification, together with or instead of the above effects.

Explanation of Reference Numerals

[0059] 1 Server device 2 Network 3 Employer terminal 4 Job seeker terminal 101 Processor 102 Memory 103 Storage device 104 Communication interface 105 Input device 106 Output device 111 Employer information acquisition unit 112 Job seeker information acquisition unit 113 Keyword selection unit 114 Recommendation generation unit 115 Message draft generation unit 116 Message transmission / reception unit 117 Analysis unit 118 Model generation unit 131 Employer information storage unit 132 Job seeker information storage unit 133 Message information storage unit 134 Template information storage unit

Claims

1. An employment support device for supporting an employer's recruitment activities, comprising: a key phrase selection unit that selects a key phrase representing the characteristics of the job seeker from text information included in job seeker information related to the job seeker; a message draft generation unit that generates a message draft addressed to the job seeker based on the key phrase and presents it to the employer; an analysis unit that assigns a correct tag to the message draft when the matching between the job seeker and the employer is successful based on the message draft; a model generation unit that uses the message draft with the correct tag, the job seeker information, and employer information related to the employer as teacher data, takes the job seeker information and the employer information as input, and generates a message generation model that outputs the message draft by a statistical method; An employment support device, characterized by comprising the above.

2. The message draft generation unit obtains editing by the input of the employer. The employment support device according to claim 1, characterized by the above.

3. The key phrase selection unit selects the key phrase representing the characteristics of the employer from the employer information related to the employer, compares the key phrases related to the job seeker and the employer, and a recommendation unit that presents the job seeker with a high degree of matching or relevance to the employer; The employment support device according to claim 1 or 2, characterized by comprising the above.

4. The message draft generation unit presents, in a manner different from other texts, a sentence containing the key phrase in the text information to the party sending the message. The employment support device according to any one of claims 1 to 3, characterized by the above.

5. An employment support program for supporting an employer's recruitment activities, comprising: on a processor, a key phrase selection step of selecting a key phrase representing the characteristics of the job seeker from text information included in job seeker information related to the job seeker; a message draft generation step of generating a message draft addressed to the job seeker based on the key phrase and presenting it to the employer; an analysis step of assigning a correct tag to the message draft when the matching between the job seeker and the employer is successful based on the message draft; A model generation step of generating, by a statistical method, a message generation model that uses the message draft with the correct answer tag, the job seeker information, and the employer information related to the employer as teacher data, with the input being the job seeker information and the employer information and the output being the message draft. An employment support program that causes the above to be executed.

6. An employment support method for supporting an employer's recruitment activities, comprising: A processor: A key phrase selection step of selecting, from text information included in job seeker information related to a job seeker, a key phrase representing the characteristics of the job seeker. A message draft generation step of generating a message draft addressed to the job seeker based on the key phrase and presenting it to the employer. An analysis step of assigning a correct answer tag to the message draft when the matching between the job seeker and the employer is successful based on the message draft. A model generation step of generating, by a statistical method, a message generation model that uses the message draft with the correct answer tag, the job seeker information, and the employer information related to the employer as teacher data, with the input being the job seeker information and the employer information and the output being the message draft. An employment support method that executes the above.

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