JP7371297B1 - Writing support system, information processing method and program - Google Patents

Abstract

The present invention provides an information processing system and the like that can facilitate the creation of sentences related to the work history of job seekers. According to one aspect of the present invention, a text creation support system is provided. This writing support system includes a processor, and in the input step, the processor displays an input screen that accepts input of job applicant information regarding the job applicant. In the instruction step, an instruction is given to the artificial intelligence to create a text regarding the job applicant's work history based on the job applicant information, and the artificial intelligence has a learning model that takes the job applicant information as input and outputs the text. In the display step, the text output by the artificial intelligence is displayed based on the instructions. [Selection diagram] Figure 1

Description

The present invention relates to a writing support system, an information processing method, and a program.

2. Description of the Related Art Conventionally, a device has been proposed that uses a template to support document creation (for example, Patent Document 1).

Japanese Patent Application Publication No. 2009-230705

When job seekers are looking for a job or changing jobs, they need to submit documents such as a resume or work history that includes text about their work history in order to convey their work content and skills to companies and other job seekers. It needs to be created, but creating it takes time and effort.

In view of the above-mentioned circumstances, the present invention provides an information processing system and the like that can facilitate the creation of sentences regarding the work history of job seekers.

According to one aspect of the present invention, a text creation support system is provided. This writing support system includes a processor, and in the input step, the processor displays an input screen that accepts input of job applicant information regarding the job applicant. In the instruction step, an instruction is given to the artificial intelligence to create a text regarding the job applicant's work history based on the job applicant information, and the artificial intelligence has a learning model that takes the job applicant information as input and outputs the text. In the display step, the text output by the artificial intelligence is displayed based on the instructions.

According to this aspect, it is possible to easily create a resume.

1 is a diagram showing the overall configuration of a text creation support system 1. FIG. 1 is a diagram showing a hardware configuration of a server device 10. FIG. 2 is a diagram showing a hardware configuration of a job applicant terminal 20. FIG. FIG. 3 is a diagram showing the functional configuration of a control section of each device. FIG. 3 is an activity diagram showing an example of text generation processing. It is a figure showing an example of a registration screen. It is a figure showing an example of a creation screen. It is a figure showing an example of an input screen. FIG. 3 is a diagram showing an example of displayed input candidates. It is a figure which shows another example of an input screen. It is a figure which shows another example of an input screen. It is a figure which shows another example of an input screen. FIG. 3 is a diagram illustrating an example of a screen for instructing the creation of a text related to work history. FIG. 6 is a diagram illustrating an example of the progress of a displayed text regarding job history. It is a figure which shows an example of the completed text of all the chapters. It is a figure which shows an example of the text regarding the displayed work history. It is a figure which shows an example of the input screen displayed again. It is a figure which shows an example of a table. It is a figure which shows another example of a table. It is a figure which shows another example of a table. It is a figure which shows another example of a table. FIG. 7 is a diagram illustrating another example of a displayed text related to job history. It is a figure which shows an example of a table. It is a figure which shows another example of a table. It is a figure which shows another example of a table. It is a figure which shows another example of a table. It is a figure which shows another example of a table.

Embodiments of the present invention will be described below with reference to the drawings. Various features shown in the embodiments described below can be combined with each other.

By the way, the program for implementing the software appearing in this embodiment may be provided as a non-transitory computer-readable recording medium, or may be downloaded from an external server. The program may be provided in a manner that allows the program to be started on an external computer and the function thereof is realized on the client terminal (so-called cloud computing).

Furthermore, in this embodiment, the term "unit" may include, for example, a combination of hardware resources implemented by circuits in a broad sense and software information processing that can be concretely implemented by these hardware resources. . In addition, various information is handled in this embodiment, and these information includes, for example, the physical value of a signal value representing voltage and current, and the signal value as a binary bit group consisting of 0 or 1. It is expressed by high and low levels or quantum superposition (so-called quantum bits), and communication and calculations can be performed on circuits in a broad sense.

Further, a circuit in a broad sense is a circuit realized by at least appropriately combining a circuit, a circuit, a processor, a memory, and the like. That is, application specific integrated circuits (ASIC), programmable logic devices (for example, simple programmable logic devices (SPLD), complex programmable logic devices (COMPLEX), etc. Programmable Logic Device (CPLD), and field This includes a field programmable gate array (FPGA) and the like.

1. Hardware Configuration In this section, the hardware configuration of the text creation support system according to this embodiment will be described.

FIG. 1 is a diagram showing the overall configuration of a text creation support system 1. As shown in FIG. FIG. 1 shows an overview of each device included in the text creation support system 1 and the users who use those devices. Each outline will be explained from time to time with reference to other figures.

The text creation support system 1 is an information processing system that executes text generation processing, which is information processing for supporting the creation of texts related to work history included in a document related to a job applicant, such as a work history. A job history, also called a resume, is a document in which a job seeker informs a job seeker of his or her past job history, skills, qualifications, etc. In this embodiment, the text creation support system 1 supports the job applicant U1 in creating a text related to his/her work history. A text related to work history is a text that describes the jobs, duties, etc. that the job seeker has experienced so far. Note that although a work history will be used as an example of a document to be created, the document is not limited to this as long as it includes text related to work history.

The writing support system 1 includes a communication line 2, a server device 10, and a job applicant terminal 20. The communication line 2 is not particularly limited, but may be constituted by the Internet network. Furthermore, the communication line 2 may include a local area network, a mobile communication network, a VPN (Virtual Private Network), and the like. The communication line 2 mediates the exchange of data between devices connected to the communication line. A server device 10 is connected to the communication line 2 by wire, and a job applicant terminal 20 is connected wirelessly. Note that the connection of each device to the communication line 2 may be wired or wireless.

The server device 10 is an information processing device that executes text generation processing while exchanging data with the job applicant terminal 20 via the communication line 2. The server device 10 stores a phrase database DB1 and a registration information database DB2. The phrase database DB1 stores phrases used in sentence generation processing. The registration information database DB2 stores registration information registered in advance by the job applicant U1. The server device 10 has an artificial intelligence (AI) function, and uses information stored in the word database DB1 and the registered information database DB2 to generate and output sentences related to work history.

The job applicant terminal 20 is a terminal whose user is the job applicant U1. The job applicant terminal 20 is a smartphone, a tablet terminal, a personal computer, or the like. The job applicant terminal 20 accepts input necessary for text generation processing, displays the generated text related to job history, and the like.

FIG. 2 is a diagram showing the hardware configuration of the server device 10. The server device 10 includes a control section 11, a storage section 12, a communication section 13, and a bus 14. The bus 14 electrically connects each part of the server device 10.

(Control unit 11)
Control unit 11 may include at least one processor. At least one processor is, for example, a central processing unit (CPU), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), or one or more Integrated Circuits (not shown). , one or more Discrete Circuits, and these It may be configured by a combination of. The control unit 11 is a computer that implements various functions related to the text creation support system 1 by reading predetermined programs stored in the storage unit 12. That is, information processing by software stored in the storage unit 12 is specifically implemented by the control unit 11, which is an example of hardware, so that it can be executed as each functional unit included in the control unit 11. These will be explained in more detail in the next section. Note that the control section 11 is not limited to a single control section, and may be implemented so as to have a plurality of control sections 11 for each function. It may also be a combination thereof.

(Storage unit 12)
The storage unit 12 stores various information defined by the above description. This may be, for example, a storage device such as a solid state drive (SSD) or an HDD (Hard Disk Drive) that stores various programs related to the text creation support system 1 executed by the control unit 11, or , may be implemented as a memory such as a random access memory (RAM) that stores temporarily necessary information (arguments, arrays, etc.) related to program operations. The storage unit 12 stores various programs, variables, etc. related to the text creation support system 1 executed by the control unit 11.

(Communication Department 13)
The communication unit 13 is configured by a communication module. The communication module may be a wireless communication module that complies with standards such as IEEE802.11a/b/g/n/ac/ax, LTE, 5G, 6G, etc., or a wired communication module that complies with standards such as IEEE802.3. It may be. The communication unit 13 is configured to be capable of transmitting various electrical signals from the server device 10 to external components. Furthermore, the communication unit 13 is configured to be able to receive various electrical signals from external components to the server device 10 . More preferably, the communication unit 13 has a network communication function, so that various information can be communicated between the server device 10 and external devices via the communication line 2.

FIG. 3 is a diagram showing the hardware configuration of the job applicant terminal 20. The job applicant terminal 20 includes a control section 21 , a storage section 22 , a communication section 23 , an input section 24 , an output section 25 , and a bus 26 . The bus 26 electrically connects each part of the job applicant terminal 20. The control unit 21, the storage unit 22, and the communication unit 23 are the same hardware as the control unit 11, the storage unit 12, and the communication unit 13 shown in FIG. 2, although specifications, models, etc. may be different.

(Input section 24)
The input unit 24 includes keys, buttons, a touch screen, a mouse, etc., and accepts input from the user. The input unit 24 may also include a microphone and accept voice input from the user.

(Output section 25)
The output unit 25 has a display, a speaker, etc., and displays visual information generated in a manner visible to the user, such as a screen, image, icon, text, etc., on the display surface of the display, and outputs sound including audio. do.

2. Functional Configuration This section describes the functional configuration of this embodiment. As described above, the information processing by the software stored in the storage section of each device is specifically implemented by the control section, which is an example of hardware, so that each functional section included in the control section can be executed.

FIG. 4 is a diagram showing the functional configuration of the control section of each device. The control unit 11 of the server device 10 includes a server display unit 111 , a storage control unit 112 , an AI control unit 113 , an artificial intelligence unit 114 , a parameter acquisition unit 115 , and a candidate determination unit 116 . The job applicant terminal 20 includes a user display section 211 and an operation reception section 212.

The server display unit 111 executes processing for displaying a system screen related to the text creation support system 1 on each terminal. The server display unit 111 performs processing such as generating and transmitting an HTML (Hyper Text Markup Language) file, and causes the job applicant terminal 20 to display a web page showing a system screen. Note that the server display unit 111 may perform processes such as generating and transmitting display data of an application for using the text creation support system 1.

The server display unit 111 displays a registration screen and an input screen for job applicant information regarding the job applicant. Job applicant information is information about job seekers, including job applicant information (registration information) entered in advance on the registration screen and job applicant information entered on the input screen for creating sentences related to work history. (input information), and includes all information related to registered or input job seekers. The job applicant information is, for example, information such as the age, address, occupation, and title of the job applicant. The storage control unit 112 controls the storage unit 12 of its own device, and writes and reads data to and from the storage unit 12 . The storage control unit 112 stores, for example, job applicant information (registration information) registered on the registration screen and job applicant information (input information) input on the input screen. The AI control unit 113 controls input to the artificial intelligence unit 114. For example, the AI control unit 113 takes as input the job applicant information input on the job applicant information input screen and generates a prompt indicating that a text related to work history is to be output.

The artificial intelligence unit 114 uses GPT (Generative Pretrained Transformer, including GPT-1, GPT-2, and GPT-3), BERT (Bidirectional Encoder Representations from Transf. transformers, etc., including BART (Bidirectional and Auto-regressive Transformers), etc. It is an AI equipped with a learning model such as a language model.

A learning model (also referred to as a machine learning model) is a learning model based on a machine learning algorithm. Specific algorithms for machine learning include the nearest neighbor method, naive Bayes method, decision tree, and support vector machine. Another example is deep learning, which uses neural networks to generate feature quantities and connection weighting coefficients for learning by itself. The artificial intelligence unit 114 can apply the above algorithm as appropriate.

The artificial intelligence unit 114 performs machine learning using teacher data. The teaching data refers to learning data, and is composed of a pair of learning input data and output data (correct data). Note that a trained model is a machine learning model that follows any machine learning algorithm such as deep learning, and has been trained (learning) in advance using appropriate teaching data (learning data). .

However, a trained model has appropriate training data obtained in advance, but does not undergo any further learning, and can also perform additional learning. Additional learning also occurs after the device is installed at the site of use. Further, the artificial intelligence unit 114 may perform machine learning by so-called unsupervised learning to construct a learned model. Unsupervised learning refers to learning a process by providing only a large amount of input data, and learning a process without providing output data corresponding to the input data.

The artificial intelligence unit 114 receives job applicant information as input and outputs sentences related to work history based on the prompts generated by the AI control unit 113. The parameter acquisition unit 115 acquires predetermined parameters regarding the job applicant. The parameters include, for example, already input information included in the input screen and registered information regarding job seekers registered in advance. Details of each parameter will be described later. The candidate determining unit 116 determines a word or phrase according to the obtained parameter as an input candidate. The input candidates referred to here are word candidates that are input or selected by the job seeker as job seeker information on the input screen.

The user display unit 211 of the job applicant terminal 20 displays a system screen related to the writing support system 1 indicated by the screen data transmitted from the server device 10. The operation accepting unit 212 accepts an operation by a user using the job applicant terminal 20. When the job seeker U1 operates the job seeker terminal 20 as a user to use the text creation support system 1, the job seeker U1 logs in by inputting a user ID (identification) and password. Thereby, the user ID is associated with the information generated at the job applicant terminal 20, so that it is possible to know which user the information is about.

3. Information Processing In this embodiment, information processing (text generation processing for generating sentences related to job history) that causes the computer that controls the writing support system 1 to execute a program will be described. The text creation support system 1 includes a processor that can execute a program to perform each step shown in FIG. 5 and the like.

FIG. 5 is an activity diagram showing an example of text generation processing. The text generation process shown in FIG. 5 is triggered by the job applicant U1 performing an operation on the job applicant terminal 20 to display a registration screen for pre-registering basic information about the job applicant as registration information. will be started. First, the job applicant terminal 20 receives a registration screen display operation through the operation reception unit 212 (A11). The operation reception unit 212 transmits first request data requesting display of a registration screen to the server device 10.

The server device 10 uses the server display unit 111 to generate registration screen data indicating the registration screen requested by the transmitted first request data (A12). The server display unit 111 transmits the generated registration screen data to the job applicant terminal 20. The job applicant terminal 20 uses the user display unit 211 to display the registration screen indicated by the transmitted registration screen data.

FIG. 6 is a diagram showing an example of a registration screen. In the example of FIG. 6, the user display unit 211 displays the text creation support system screen G1. The text creation support system screen G1 displays a character string "Please enter registration information.", a registration information input field C1, and a registration button B11. Input field C1 includes "basic information" such as "name," "age," "address," "date of birth," and "current annual income," as well as "desired job type," "desired industry," and "desired work location." ” and “desired conditions” such as “desired annual income”, “educational background” such as “school name” and “graduation date”, “company name”, “department name”, “title” and “length of employment” This is an area for inputting registration information including "work history" such as "Award", "Experience Occupation", "Experience Industry", "Qualification", and "Language Proficiency".

The number of years of experience for each job type or industry can be entered in the "Experience Occupation Type" and "Experience Industry Type". Further, "work history" includes a details button B12 for displaying a screen for inputting "work history details" or creating sentences related to work history.

The job applicant terminal 20 receives, as a registration operation, an operation on the registration button B11 in a state where an input is made in the input field C1 by the operation reception unit 212 (A14), and transmits the input registration information to the server device 10. The server device 10 uses the storage control unit 112 to store the sent registration information as job applicant information in the registration information database DB2 (A15).

Next, it is assumed that the job applicant U1 performs, for example, an operation of pressing the details button B12 on the job applicant terminal 20 to display a creation screen for creating a text related to work history. The job applicant terminal 20 receives an operation for displaying the creation screen through the operation reception unit 212 (A21). The operation reception unit 212 transmits second request data requesting display of the creation screen to the server device 10. When the second request data is transmitted, the server device 10 generates creation screen data indicating a creation screen using the server display unit 111 (A22). The server display unit 111 transmits the generated creation screen data to the job applicant terminal 20. The job applicant terminal 20 uses the user display unit 211 to display the creation screen indicated by the sent creation screen data.

FIG. 7 is a diagram showing an example of a creation screen. In the example of FIG. 7, the user display unit 211 displays the text creation support system screen G2. The text creation support system screen G2 includes a character string "Edit position/project name", input fields C21, C22, and C23 for job title or project name, work period, and work content, and an automatic generation button B2. is displayed. The job seeker U1 inputs the job title or project name and work period in the input fields C21 and C22, respectively.

The input field C23 is an area for inputting a sentence explaining the job content as a sentence related to work history. A text explaining job content is a text that describes the actual work content, results, and points of appeal to job seekers in the jobs that job seeker U1 has experienced so far, and is an example of a text related to job history. be. Here, the job title or project name and work content corresponding to the work period input in the input fields C21 and C22 are entered in the input field C23.

The job applicant U1 can enter the input field C23 by himself, but he can generate a text explaining the job content as a text related to his work history by operating the automatic generation button B2. can be automatically generated. When the job applicant terminal 20 receives an operation for the automatic generation button B2 through the operation reception unit 212. Third request data requesting automatic generation of text related to work history is transmitted to the server device 10 (A24).

When the server device 10 receives the third request data, first, the parameter acquisition unit 115 acquires predetermined parameters regarding the job applicant (A31). At the stage of receiving the third request data, the parameter acquisition unit 115 combines the registration information of the job applicant U1 stored in the registration information database DB2 at A15 and the information (job title or project) input on the writing support system screen G2. (name and work period) as parameters related to the job applicant. Next, the server device 10 uses the server display unit 111 to generate input screen data indicating an input screen for inputting information necessary to generate sentences related to work history, and transmits it to the job applicant terminal 20 ( A32). The job applicant terminal 20 displays, on the user display unit 211, the input screen indicated by the input screen data that has been sent (A33).

FIG. 8 is a diagram showing an example of an input screen. In the example of FIG. 8, the user display unit 211 displays the text creation support system screen G3. On the writing support system screen G3, there is a character string "Input information for creating work history", a stage image D3 indicating the stage of information input, and a character string "Please tell me the type of job (up to 3)". A column, an occupation type input field C31, a list of recommended occupations C32 for the job applicant U1, a back button B31, and a forward button B32 are displayed.

The job applicant information that is input to create sentences about work history includes "job type," "position," "mission," and "work area," which are all information related to the job applicant, and will be referred to as "input information" below. To tell. In this embodiment, the stage image D3 indicates the first stage (occupation type input stage) of five information input stages.

An upper limit (three in the example of FIG. 8) is set for the job types that can be input in the input field C31. The server display unit 111 sets the upper limit of the number of items that can be input based on the registration information that is the acquired parameter. For example, the server display unit 111 stores a table in which the number of years of experience indicated by the "experienced occupation" included in the registered information is associated with the maximum number of entries that can be entered, and stores the table in which the number of years of experience indicated by the "experienced occupation" included in the registered information is associated with the maximum number of entries that can be entered. The number associated with the number of years of experience indicated by "Experience Occupation" is set as the upper limit.

In addition, the candidate determination unit 116 stores a table that associates "experienced occupations" included in the registered information with recommended occupations, and matches the "experienced occupations" included in the registered information acquired as parameters to the recommended occupations. The associated recommended occupations (in the example of FIG. 8, occupation A, occupation B, occupation C, etc.) are determined. In addition, the information that can be associated with the recommended job type includes the "company name," "department name," and "job title" entered as work history on the screen shown in Figure 6, and the screen shown in Figure 7. It may also be the "position title", "project name", etc. input as job history details in . The server display unit 111 displays the determined recommended occupations in the occupation list C32. The job applicant terminal 20 receives an input operation into the job type input field C31 through the operation reception unit 212 (A34).

Input to the input field C31 may be performed by selecting from the list of occupations C32 or by inputting characters one by one using a keyboard. When receiving an input operation for one character at a time, the operation reception unit 212 transmits operation data indicating the input characters to the server device 10 . The server device 10 stores an occupation master that includes the names of various occupations, and the candidate determination unit 116 searches the occupation master for an occupation that includes the characters indicated by the operation data, and determines the search results as input candidates. (A35). The candidate determining unit 116 transmits the determined input candidates to the job applicant terminal 20. The job applicant terminal 20 displays the transmitted input candidates on the user display unit 211 (A36).

FIG. 9 is a diagram showing an example of displayed input candidates. In the example of FIG. 9, the user display unit 211 displays an input candidate list C33 corresponding to the input field C31 shown in FIG. In the example of FIG. 9, the character "E" is input in the input field C31, and the input candidates "Sales Planning", "Sales Affairs", and "Sales Promotion" are displayed in the input candidate list C33. In this way, the candidate determining unit 116 performs a so-called incremental search that displays input candidates based on the input characters. The operation reception unit 212 receives, as an input operation, selection of a job type from the job type list C32 shown in FIG. 8, selection of a job type from the input candidate list C33, or input of a character string indicating the job type using the keyboard.

When the job applicant terminal 20 receives an operation for the back button B31 through the operation reception unit 212, the user display unit 211 displays the previous screen (if it is the back button B31 in FIG. 8, the writing support system screen G2 shown in FIG. 7 is displayed). ) is displayed. When the operation reception unit 212 receives an operation for the forward button B32, the job applicant terminal 20 associates the input information input in the input field C31 with the text creation support system screen G3 in order to generate a text related to work history. It is transmitted to the server device 10 (A41). The server device 10 uses the storage control unit 112 to acquire the transmitted input information as job applicant information (A42), and stores the acquired job applicant information in association with the writing support system screen G3 (A43).

If there is input information that has not been input, the server device 10 returns to A31 and continues the operation. At the stage when the input information for generating sentences related to work history has progressed, the parameter acquisition unit 115 acquires the input information saved in A43 as parameters regarding the job applicant in addition to the registered information of the job applicant U1 described above. do. Subsequently, A32 (generation of input screen) and A33 (display of input screen) are performed.

FIG. 10 is a diagram showing another example of the input screen. In the example of FIG. 10, the user display unit 211 displays the text creation support system screen G4. The text creation support system screen G4 includes a character string that reads "Input information to create work history," a stage image D4 that indicates the information input stage, and a text that reads "Please tell me your position (up to one)." A column, a position input field C41, a list of positions recommended for job applicant U1 C42, a back button B41, and a forward button B42 are displayed. A position is a name indicating a job title in a more general expression, such as member, leader, manager, department head, or office manager.

The stage image D4 indicates the second stage (position input stage) of the five information input stages. An upper limit (one in the example of FIG. 10) is set for the positions that can be entered in the input field C41. The server display unit 111 sets, for example, the upper limit of the number of items that can be input based on at least one of the registration information and the input information, which are the acquired parameters. For example, the server display unit 111 displays a table in which one or both of the "experienced occupation" included in the registered information and the "occupation type" included in the input information input in the input field C31 is associated with the upper limit number. The upper limit is set to the number associated with either or both of the "experienced occupation" included in the registered information acquired as a parameter and the "occupation type" included in the acquired input information.

Further, the candidate determining unit 116 stores, for example, a table in which one or both of the "experienced occupation" included in the registered information and the "occupation type" included in the input information is associated with recommended positions, Recommended positions (in the example of FIG. 10, position A, position B, position C, etc.). The server display unit 111 displays the determined recommended positions in the position list C42.

The job applicant terminal 20 receives an input operation into the position input field C41 through the operation reception unit 212 (A34). The input method to the input field C41 is performed in the same way as the input field C31 shown in FIG. 8 (selection from the recommended position list C42, selection from the input candidate list, or input of a character string). Further, when the forward button B42 is operated, the processes from A41 to A43 are executed in the same manner as when the forward button B32 shown in FIG. 8 is operated, and the input position is input to the server device. 10 is saved.

After inputting the position, since there is input information that has not been input, A31 (obtaining parameters), A32 (generating an input screen), and A33 (displaying the input screen) are performed.
FIG. 11 is a diagram showing another example of the input screen. In the example of FIG. 11, the user display unit 211 displays the text creation support system screen G5. The text creation support system screen G5 includes a character string "Input information for creating work history," a stage image D5 showing the information input stage, a character string "Please tell me your mission," and a message for the mission. An input field C51, a list of recommended missions C52 for the job seeker U1, a back button B51, and a forward button B52 are displayed.

The stage image D4 indicates the third stage (mission input stage) of the five information input stages. A mission is the purpose or goal of a business, such as "increasing order acceptance rate" or "successful initial operation." In the input field C51, no upper limit is set for the number of missions that can be input. The candidate determining unit 116 stores, for example, a table in which one or more parameters of "experienced occupation" included in the registered information, "occupation" and "position" included in the input information are associated with recommended missions. Recommended missions ( In the example of FIG. 11, mission A, mission B, mission C, etc.) are determined. The server display unit 111 displays the determined recommended missions in the mission list C52.

The job applicant terminal 20 receives an input operation into the mission input field C51 through the operation reception unit 212 (A34). The input method to the input field C51 is performed in the same way as the input field C31 shown in FIG. 8 (selection from the recommended mission list C52, selection from the input candidate list, or input of a character string). Further, when the forward button B52 is operated, the processes from A41 to A43 are executed in the same manner as when the forward button B32 shown in FIG. 8 is operated, and the input mission is input to the server device. 10 is saved.

After inputting the mission, there is input information that has not been input, so A31 (obtaining parameters), A32 (generating an input screen), and A33 (displaying the input screen) are performed.
FIG. 12 is a diagram showing another example of the input screen. In the example of FIG. 12, the user display unit 211 displays the text creation support system screen G6. The text creation support system screen G6 includes a character string "Input information for creating work history," a stage image D6 indicating the information input stage, a character string "Please tell me your field of work," and An input field C61 for an area, a list of work areas C62 recommended for the job applicant U1, a back button B61, and a forward button B62 are displayed.

The stage image D4 indicates the fourth stage (business area input stage) of the five information input stages. The business area refers to the specific content of the job, such as ``obtaining appointments'' in the case of a salesperson, or ``operating advertisements'' in the case of a marketing person. In the input field C61, no upper limit is set for the number of business areas that can be input. For example, the candidate determination unit 116 associates one or more parameters of "experienced occupation" included in the registered information, "occupation type", "position", and "mission" included in the input information with the recommended work area. The table is memorized, and one or more of the parameters "Experience Occupation" included in the registered information acquired as a parameter, "Occupation Type", "Position", and "Mission" included in the acquired input information The associated recommended business areas (in the example of FIG. 12, business area A, business area B, business area C, etc.) are determined. The server display unit 111 displays the determined recommended business areas in the business area list C62.

The job applicant terminal 20 receives an input operation into the work area input field C61 through the operation reception unit 212 (A34). The input method to the input field C61 is performed in the same way as the input field C31 shown in FIG. 8 (selection from the recommended business area list C62, selection from the input candidate list, or input of a character string). Furthermore, when the forward button B62 is operated, the processes from A41 to A43 are executed, similar to the case where the forward button B32 shown in FIG. It is stored in the device 10.

After inputting the work area, the server device 10 uses the server display unit 111 to generate screen data showing a creation instruction screen for instructing the creation of a text related to work history, and sends it to the job applicant terminal 20. The job applicant terminal 20 displays, on the user display unit 211, an instruction screen for creating a text related to the work history indicated by the transmitted screen data (A51).

FIG. 13 is a diagram illustrating an example of an instruction screen for creating a text regarding work history. In the example of FIG. 13, the user display unit 211 displays the text creation support system screen G7. The text creation support system screen G7 includes a character string "Automatically generate business content", a stage image D5 indicating the information input stage, "Automatically generate business content" and "Business content of approximately 400 characters". "Please wait without closing the screen until the generation is complete.", a button B71 that agrees to the handling of personal information, a button B72 to start automatic generation of sentences related to work history, and a back button B73 are displayed. has been done.

The stage image D7 indicates the fifth stage (automatic generation) of the five stages of information input. The consent button B71 for handling personal information is a button that is pressed by clicking or the like when the job applicant U1 agrees to the handling of personal information included in the job applicant information including registered information and input information. When the operation reception unit 212 receives the operations on the consent button B71 and the start button B72 as an operation for generating a text related to work history (here, text related to job content), job applicant terminal 20 generates a text related to work history (here, text related to job content). Fourth request data requesting the start of automatic generation of a sentence) is transmitted to the server device 10 (A52). Note that the start button B72 is controlled so that it cannot be operated until the consent button B71 is operated.

When the fourth request data is transmitted, the server device 10 uses the AI control unit 113 to determine the sentence structure regarding the job history to be generated (A53). For example, the AI control unit 113 stores templates of a plurality of sentence structures. Each of the templates with multiple sentence structures shows the structure of a sentence related to work history that consists of multiple chapters. A "chapter" here refers to a large group of parts that make up a text. A text contains multiple chapters. In some cases, a "paragraph" created by starting a new line and moving one character down becomes one chapter, and in other cases, multiple paragraphs are combined into one chapter. In addition, chapters may be separated in the middle of a paragraph. In this embodiment, the number of chapters, the content of each chapter, the order of each chapter, and the amount of each chapter are determined for each template.

The content of each chapter includes, for example, the purpose of work, main work, and other work, if it is a text related to work content included in the text about work history. The length of each chapter is expressed as a guideline number of characters, maximum number of characters, range of number of characters, etc. For example, the AI control unit 113 stores a table in which one or more parameters of the registered information and input information are associated with sentence structure templates, and associates the templates with the registered information and input information acquired as parameters. The sentence structure indicated by the generated template is determined as the sentence structure related to the job history to be generated.

Next, in the server device 10, the AI control unit 113 instructs the artificial intelligence unit 114 to generate sentences for each chapter indicated by the determined sentence structure (A54). The AI control unit 113 generates prompts representing generation of sentences for each chapter based on the job applicant information including the input information. Note that the AI control unit 113 may generate the prompt based on registered information registered in advance in addition to the input information. In order to instruct the contents to be described in each chapter, the AI control unit 113 uses characteristic words and phrases used in sentences related to work history (such as "experience" and "work history"), work descriptions (work procedures and work contents), etc.), an organizational description (organization name and organizational role, etc.), or an outcome description (target value and achievement level, etc.). These phrases are stored in the phrase database DB1 shown in FIG. 1.

For example, the AI control unit 113 generates a prompt that reads, "Generate a sentence regarding the work history of a job applicant with 10 years of management experience." In this case, "management" and "10 years" are information based on the input job applicant information, and "experience" and "work history" are words used in sentences related to work history. Furthermore, the AI control unit 113 generates a prompt that reads, for example, "Generate results including target values for a project in which the job seeker participated as an engineer." In this case, "engineer" and "project" are information based on input information, "target value" is a description of results, and "achievement" is a phrase used in sentences related to work history.

Further, the AI control unit 113 generates a prompt that reads, for example, "Generate the business procedures and work contents of the accounting department to which the job applicant belonged as a sentence explaining the main business." In this case, the "accounting department" is information based on the input information, and the "business procedure" and "work content" are descriptions of the business. Further, the AI control unit 113 generates, for example, a prompt such as "Create a list of departments that were involved during the period in which the user belonged to the management department." In this case, the "management department" is information based on the input information, and the "department" is a description of the organization.

The AI control unit 113 instructs the artificial intelligence unit 114 to generate sentences for each chapter based on the generated prompt. The artificial intelligence unit 114 executes sentence generation processing for each chapter based on the instructions of each prompt (A55). The artificial intelligence unit 114 creates sentences using words stored in the word database DB1. The artificial intelligence unit 114 sends the text to the job applicant terminal 20 each time the text of each chapter is completed. The job applicant terminal 20 uses the user display unit 211 to display the texts of each chapter in order from the text that was sent (A56).

FIG. 14 is a diagram showing an example of the progress of a displayed text regarding job history. In the example of FIG. 14, the user display unit 211 displays the text creation support system screen G8. The text creation support system screen G8 displays a character string "Job Content", a text S11 of the first chapter, a text S14 of the fourth chapter, a confirm button B81, and a regenerate button B82. In this embodiment, it is assumed that sentences related to job content having the sentence structure from Chapter 1 to Chapter 5 are created as sentences related to work history.

In the example in Figure 14, the sentences in chapters 1 and 4 are completed and displayed in order, but the sentences in chapters 2, 3, and 5 are not yet completed and are displayed. It has not been. Therefore, the confirm button B81 for confirming the text related to the job content cannot be operated. The server device 10 and the job applicant terminal 20 repeatedly execute the processes of A55 (text generation process) and A56 (display of text related to job history) until the texts for all chapters are completed.

FIG. 15 is a diagram showing an example of completed sentences for all chapters. On the text creation support system screen G8 shown in FIG. 15, all texts S10 from chapters S11 to S15 from chapters 1 to 5 are displayed in order from the top. If the job seeker U1 determines that there is no problem with the entire generated sentence S10, he or she operates the confirm button B81. Then, the job applicant terminal 20 displays sentences related to the completed job content in order from the top on the user display unit 211 (A57).

FIG. 16 is a diagram illustrating an example of displayed sentences regarding job history. In the example of FIG. 16, the user display unit 211 displays the text creation support system screen G2 shown in FIG. The user display unit 211 displays the entire text S10 related to the job content, which has been generated as a text related to the job history, in the input field C23 for the job content. The text displayed in the input field C23 is editable and can be manually corrected by the job applicant U1.

If the job seeker U1 wishes to re-create the generated text related to work history (text related to job content) on the text creation support system screen G8 shown in FIG. 15, the job seeker U1 operates the regenerate button B82. When this regeneration operation is performed, the server device 10 returns to A31 (parameter acquisition) shown in FIG. 5 and performs the operation. When generating the input screen data in A32, the server device 10 generates the input screen data in which input information is input into the job type input field C31.

FIG. 17 is a diagram showing an example of the input screen that is displayed again. In the example of FIG. 17, the user display unit 211 displays the text creation support system screen G3 shown in FIG. On the text creation support system screen G3, an input field C31 is displayed in which "occupation B", which was input last time, has been input. The input fields for other stages are also displayed with the input information input last time entered. When the input information is input again and the text regarding work history is automatically generated by the artificial intelligence unit 114, the server display unit 111 displays, for example, the text creation support system screen G2 on which the generated text regarding work history is overwritten. let

Note that the server display unit 111 may leave the text related to the previous work history and display the new work history in another input field C23, or add and display the new work history under the same input field. You can. In addition, when the AI control unit 113 generates the text related to work history again, the AI control unit 113 may also input the previously generated text related to work history to the artificial intelligence unit 114 and use it to regenerate the text related to work history.

As described above, in the text creation support system 1, the server display unit 111 functions as an example of an input unit that displays an input screen that accepts input of job applicant information regarding a job applicant. Text creation support system screens G3, G4, G5, and G6 shown in FIGS. 8, 10, 11, and 12 are examples of input screens, respectively. Further, the "job type", "position", "mission", and "work area" input on these input screens are each an example of job applicant information.

Furthermore, the AI control unit 113 functions as an example of an instruction unit that instructs the artificial intelligence unit 114 to create a text regarding the job applicant's work history based on the job applicant information including registration information and input information. The job applicant information here includes input information that has been input and registered information that has been registered in advance. The artificial intelligence unit 114 is an example of artificial intelligence, and has a learning model that takes job applicant information (input job applicant information and registered information registered in advance) as input and outputs sentences related to work history. .

This learning model is a trained model that has been machine-learned using job applicant information for learning. Job applicant information for learning is job applicant information used as learning data for learning a learning model. The learning job applicant information is information about job seekers other than the job applicant U1 who is the user of the text creation support system 1, but may include registration information and input information of the job applicant U1.

In addition, this learning model uses input data (explanatory variables) for learning, such as job applicant information of job seekers who have searched for jobs in the past, as well as submitted information to the companies where the job seekers actually worked. This is a so-called supervised method in which texts related to work history, such as work history resumes (in other words, texts about work history that were most effective), are trained as training data in pairs with training output data (objective variables). The model may be generated by performing machine learning.

Furthermore, the learning model may be generated by training any kind of corpus (a large-scale database of structured natural language sentences). Contains information, etc. The artificial intelligence unit 114 uses this learning model to create a sentence regarding the optimal work history derived from the input information regarding the job applicant, and outputs the created sentence. The server display unit 111 also functions as an example of a display unit that displays text related to work history output by the artificial intelligence unit 114 based on instructions from the AI control unit 113.

According to such an aspect, the job applicant U1 can register information about the job applicant in advance as registered information or input information without knowing how to instruct the artificial intelligence unit 114 or create a prompt. By simply following the on-screen instructions and making selections and inputs in order, users can create texts related to their work history, such as texts explaining job content. It is possible to easily create sentences related to work history.

In addition, in the text creation support system 1, the server display unit 111 displays a screen (hereinafter referred to as “ It functions as an example of a re-input unit that displays a re-input screen (referred to as a "re-input screen") as an input screen. The text creation support system screen G3 shown in FIG. 17 is an example of a re-input screen that shows the input job applicant information ("Job type B" in the example of FIG. 17) in an editable manner.

The AI control unit 113 (an example of an instruction unit) issues an instruction to create a text regarding job history again based on the job applicant information edited on the re-input screen. According to this aspect, it is possible to easily repeat tasks such as inputting job applicant information, creating sentences regarding work history, determining whether to finalize the sentences, re-entering job applicant information, and recreating sentences regarding work history. can. Furthermore, compared to the case where the re-input screen is not displayed, it is possible to make it easier to repeatedly create sentences related to work history.

In addition, in the text creation support system 1, job applicant information includes a plurality of items (in this embodiment, "job type", "position", "mission", and "Business area") information is included. The server display unit 111 (an example of an input unit) provides an input screen for each of the two or more items that requests the input of job applicant information corresponding to each of at least two of the items. The input screens (in this embodiment, text creation support system screens G3, G4, G5, and G6) are displayed while being switched.

If there are multiple items of information to be entered on one input screen, for example, if the input fields are next to each other, it is possible to enter the information for the next item by mistake, but as shown above, display them on separate input screens. And no mistake will happen. In this way, according to the present embodiment, it is possible to suppress input errors and reduce the psychological burden of input on the user, compared to the case where individual input screens are not displayed. Furthermore, compared to the case where individual input screens are not displayed, it is possible to more reliably acquire the input information (job type, etc.) necessary for generating sentences related to work history.

In addition, in the text creation support system 1, the server display unit 111 (an example of an input unit) displays a plurality of objects corresponding to each of the individual input screens on all of the above-mentioned individual input screens, and To display an object corresponding to an individual input screen during input among a plurality of objects in a manner different from other objects. The objects are, for example, images showing "job type", "position", "mission", "work area", and "automatic generation" included in the stage image D3 shown in FIG. 8, etc.

In the example of FIG. 8, the server display unit 111 indicates the edges of the "job type" image corresponding to the input screen being inputted with a solid line, and the edges of other images with dotted lines. By displaying these objects, the job seeker U1 can understand that there are five stages of work up to the automatic generation of sentences, and that the current stage is the first stage. According to this aspect, it is possible to easily grasp the overall feeling of the input work compared to the case where the above-mentioned objects are not displayed.

Furthermore, in the text creation support system 1, the parameter acquisition unit 115 functions as an example of an acquisition unit that acquires predetermined parameters (registration information and input information) regarding job seekers. Then, the server display unit 111 (input unit) displays words and phrases corresponding to the acquired parameters as input candidates for each input item. The words (“sales planning,” “sales affairs,” and “sales promotion”) shown in the input candidate list C33 in FIG. 9 are examples of input candidates. According to this aspect, words and phrases suitable for the job seeker can be displayed as input candidates, and input can be made easier than when no input candidates are displayed.

The above parameters include registration information regarding job seekers registered in advance. Each piece of information shown in FIG. 6 (“basic information,” “desired conditions,” “educational background,” “work history,” etc.) is an example of registered information. Note that the registration information may also be other information such as that written on a resume. Further, the parameters include job applicant information (input information) that has already been input in a predetermined item included in the input screen. 8, 10, 11, and 12 are examples of predetermined items, respectively. Note that the predetermined items are not limited to these, and may be narrowed down to the first few items or important items.

When registration information is included in the parameters, input candidates can be optimized starting from the first input item on the input screen that has not yet been entered. On the other hand, if the parameters include input information, input candidates can be optimized without any prior work just by inputting them on the input screen.

In addition, in the text creation support system 1, the server display unit 111 (an example of an input unit) displays search results of words corresponding to the input character as input candidates every time one character is input on the input screen. . The server display unit 111 performs a prefix match search each time the user inputs characters for search one by one, and displays the search results as input candidates. “E” shown in FIG. 9 is an example of a character that has already been input, and “sales planning”, “sales affairs”, and “sales promotion” are examples of search results. In the incremental search, each time characters are input and acquired one by one, a word or phrase corresponding to one or more previously acquired characters plus one newly input character is searched. In this way, by performing an incremental search in which the search results are refreshed each time one character is input, input can be made easier than when the search results are fixed.

Note that the server display unit 111 may perform a fuzzy search that includes not only exact matches but also ambiguities such as spelling variations and synonym expressions as a search for words according to the input characters. Furthermore, the server display unit 111 may perform an interactive search personalized for each job applicant according to the obtained parameters regarding the job applicant, as a search for words and phrases corresponding to the input characters. For example, if the job title "engineer" is acquired as a parameter, the server display unit 111 searches for words and phrases related to engineers. As a result, even if the same character is input, input candidates optimized for each job seeker can be displayed.

Furthermore, in the text creation support system 1, a text regarding work history has two or more chapters. Chapters 1 to 5 shown in FIG. 15 are examples of two or more chapters. The AI control unit 113 (an example of an instruction unit) instructs the creation of sentences related to work history for each chapter. Then, the server display unit 111 (an example of a display unit) displays two or more chapters output by the artificial intelligence unit 114 side by side as sentences. The entire text S10 shown in FIG. 15 is an example of a text in which output chapters are arranged. By giving instructions on how to write sentences for each chapter in this way, it is possible to provide instructions that are more appropriate to the content of the chapter, compared to when instructions are given on writing for the entire text. You can create sentences about your work history with more appropriate content.

In addition, in the text creation support system 1, when the artificial intelligence unit 114 sequentially outputs a plurality of chapters, the server display unit 111 (an example of a display unit) outputs a plurality of chapters without waiting for all the chapters to be output. The chapters output from 114 are displayed sequentially. Chapters 1 and 4 shown in FIG. 14 are examples of chapters that are output without waiting for all the chapters to be completed. According to this aspect, the completed chapters are displayed sequentially, so that the user can experience the response performance of automatic text generation by the artificial intelligence unit 114.

In addition, in the text creation support system 1, the AI control unit 113 (an example of an instruction unit) provides instructions including words and phrases used in sentences related to work history, job descriptions, organization descriptions, or achievement descriptions, as described above. Instructions are given by data. The instruction data is data indicating an instruction to the artificial intelligence unit 114, and an example thereof is a prompt. According to this aspect, the necessary content can be more reliably included in the text regarding work history, compared to the case where the above-mentioned instruction data is not used.

<Other embodiments>
Job applicant information is not limited to the information shown in FIG. 8 and the like. The job applicant information may include, for example, skills, qualifications, language ability, years of experience, desired industry, desired job type, desired work area, desired commuting time, and appeal points. In this way, information included in the registered information may be input as job applicant information. Further, the contents of each chapter included in the text regarding job history are not limited to those shown in FIG. 15. For example, each chapter may include business plans, organizational structure, customer status, merchandise, etc.

<Artificial intelligence>
The artificial intelligence unit 114 may utilize a language model (for example, a language model using a neural network). A language model is a model of human language using word appearance probabilities. This makes it possible to generate more natural sentences than when no language model is used.

Furthermore, in the text creation support system 1, the artificial intelligence may be configured externally. Even in that case, the AI control unit 113 instructs the external artificial intelligence to generate sentences, and the server display unit 111 displays the sentences output by the artificial intelligence on the job applicant terminal 20, so that the work history It is possible to generate sentences related to By doing this, it is possible to generate sentences related to work history using various external artificial intelligence services.

<Learning model>
In the embodiment, the learning model is a model obtained by machine learning the learning job applicant information, but is not limited to this. For example, the learning model is a model that machine learns the learning job applicant information (general job applicant information) A model subjected to machine learning may be used as learning data. A job posting is a document created by a job seeker to convey to job seekers an overview of the human resources they are looking for. The job posting may be created for an actual job seeker, or it may be created for a fictitious job seeker. According to such an aspect, it is possible to create a text regarding work history that takes into account the content sought by the recruiter.

<Chapter structure of text related to work history>
In the embodiment, the number of chapters, the content of each chapter, the order of each chapter, and the volume of each chapter are determined, but the present invention is not limited to this. For example, the AI control unit 113 (an example of an instruction unit) may display sentences related to work history based on the number of chapters, the content of each chapter, the display order of each chapter, or the amount of each chapter according to the input on the input screen presented. It is also possible to instruct the user to generate sentences related to his/her work history. The AI control unit 113 instructs text generation using, for example, a table that associates job applicant information with the content, number, etc. of each chapter.

FIG. 18 is a diagram showing an example of a table. In the example of FIG. 18, when the years of experience is input as the input information, a table TB1 is shown that associates the years of experience, which is the input information, with the number of chapters. In table TB1, the number of chapters "N1", "N2", and "N3" (N1<N2<N3) are associated with the years of experience "less than Th1", "more than Th1 but less than Th2", and "more than Th2". ing. The AI control unit 113 instructs the artificial intelligence unit 114 to generate sentences for each chapter the same number of times as the number of chapters associated with the years of experience acquired as job applicant information in table TB1.

As a result, the longer the number of years of experience a job seeker has, the more content is likely to be explained, so in order to explain as much of that content as possible, it is possible to generate a text about job history that has a large number of chapters. Note that job applicant information other than years of experience may be associated with the number of chapters. In either case, the number of chapters can be controlled more appropriately depending on the job applicant information acquired as a parameter than when the number of chapters is fixed.

FIG. 19 is a diagram showing another example of the table. In the example of FIG. 19, when a job type is input as input information, a table TB2 is shown that associates the job type, which is the input information, with the content of the chapter. In table TB2, the content of the chapters "Management-oriented," "Skills/Qualification-oriented," and "Business process-oriented" are associated with the job categories "Managerial," "Professional," and "Clerical." The AI control unit 113 instructs the artificial intelligence unit 114 to generate a text related to job history that includes chapters with contents associated with the job type acquired as input information in table TB2.

As a result, it is possible to generate sentences related to work history that include chapters with content that is more closely related to each job type. Note that job applicant information other than the job type may be associated with the content of the chapter. In either case, the content of the chapter can be controlled more appropriately depending on the job applicant information acquired as a parameter than when the content of the chapter is fixed.

FIG. 20 is a diagram showing another example of the table. In the example of FIG. 20, when a job type is input as input information, a table TB3 is shown that associates the job type, which is job applicant information, with the order of chapters. In table TB3, the job category "manager" is associated with the order in which "management-related chapters" come first and "other chapters" come later. Further, the job category "Professional" is associated with the order in which "chapters related to skills and qualifications" come first and "other chapters" come later. Further, the job category "administrative position" is associated with the order in which "chapters related to business processes" come first and "other chapters" come later.

The AI control unit 113 instructs the job applicant terminal 20 to display the chapters side by side in the order in which they are associated with the job type acquired as input information in the table TB3. As a result, it is possible to generate sentences related to work history in which chapters with more closely related content are arranged first for each job type. Note that job applicant information other than job type may be associated with the order of the chapters. In either case, the order of the chapters can be controlled more appropriately depending on the job applicant information acquired as a parameter than when the order of the chapters is fixed.

FIG. 21 is a diagram showing another example of the table. In the example of FIG. 21, when job types are input as input information, a table TB4 is shown that associates job types, which are job applicant information, with chapter sizes. In table TB4, the job category "manager" is associated with a quantity of "many" chapters related to management and "few" chapters of "other chapters." Furthermore, the job type "Professional" is associated with "many" chapters on "skills/qualifications" and "few" chapters on "other chapters." Furthermore, the job category "Administrative Work" is associated with a quantity of "many" chapters related to business processes and "few" chapters of "other chapters."

The AI control unit 113 instructs the artificial intelligence unit 114 to generate each chapter with the amount associated with the job type obtained as input information in table TB4. As a result, it is possible to generate sentences related to work history with a larger amount of chapters with more deeply related content for each job type. Note that job applicant information other than the job type may be associated with the chapter volume. In either case, the chapter size can be controlled more appropriately depending on the job applicant information acquired as a parameter, compared to a case where the chapter size is fixed.

Note that the tables shown in FIGS. 18 to 21 are only examples, and each table has three types of correspondence, but two or four or more types may be used. Further, the job applicant information associated in each table may be registered information. In that case as well, the AI control unit 113 (an example of an instruction unit) controls the text related to work history to have the number of chapters, the content of each chapter, the display order of each chapter, or the amount of each chapter according to the registered information. Provides instructions for generating sentences related to work history. In either case, it is possible to create a text regarding work history with more appropriate content than when instructions for text generation are not given in accordance with the input or registered information on the input screen presented.

<Input options>
The AI control unit 113 (an example of an instruction unit) may instruct the artificial intelligence unit 114 to output two or more sentence options for one chapter. In that case, the artificial intelligence unit 114 generates two or more sentences for one chapter. The server display unit 111 (an example of a display unit) displays two or more sentence options output by the artificial intelligence unit 114 in a selectable manner, and displays a sentence in which the selected sentences are arranged.

FIG. 22 is a diagram illustrating another example of the displayed text regarding job history. In the example of FIG. 22, the user display unit 211 displays the text creation support system screen G2 shown in FIG. The user display unit 211 displays a character string "Please select "main business"" and text options S121, S122, and S123 for "main business" in the business content input field C23. For example, the AI control unit 113 generates three types of prompts with different contents for the "Main Business" chapter and instructs text generation. As a result, the options S121, S122, and S123 have sentences with different contents.

When the job seeker U1 selects one of the options, the server display unit 111 deletes the unselected options and displays text related to work history leaving only the text of the selected option. According to this aspect, the job seeker U1 can select the one that he or she thinks is most appropriate from two or more sentence options, so it is easier to understand the job seeker's intentions than when no sentence options are displayed. Be able to create sentences related to work history that reflect the

<Input screen configuration changes>
In the text creation support system 1, the input screen may include a variable input screen in which the configuration of input information that receives input changes depending on predetermined parameters regarding the job applicant. In that case, the server display unit 111 (an example of an input unit) displays a variable input screen according to the parameters acquired by the parameter acquisition unit 115. More specifically, the server display unit 111 displays, as a variable input screen, a screen configured to allow input using input items, number of input items, input order, input method, or input amount according to the acquired parameters. The server display unit 111 instructs text generation using, for example, a table that associates job applicant information with input items and the like.

FIG. 23 is a diagram showing an example of a table. In the example of FIG. 23, when a job type is input as input information, a table TB11 is shown that associates the job type, which is input information, with input items. In table TB11, the input items "productivity improvement initiatives," "skills," and "experienced business processes" are associated with the job categories "manager," "professional," and "clerical." The server display unit 111 first displays an input screen for inputting job type as input person information.

Then, job applicant information indicating the job type is acquired as a parameter, so when displaying the next input screen, the server display unit 111 displays the input items associated with the acquired job type in table TB11 as job seekers. display on the user terminal 20. This allows the user to input job applicant information that is more closely related to each job category. Note that job applicant information other than job type may be associated with the input item. In either case, the input items can be controlled more appropriately depending on the job applicant information acquired as a parameter than when the input items are fixed.

FIG. 24 is a diagram showing another example of the table. In the example of FIG. 24, when years of experience is input as input information, a table TB12 is shown in which the years of experience, which is input information, is associated with the number of input items. In table TB12, the number of input items "N11", "N12", and "N13" (N11<N12<N13) are associated with the years of experience "less than Th1," "more than Th1 and less than Th2," and "more than Th2." It is being The server display unit 111 first displays an input screen for inputting years of experience as job applicant information.

Then, the job applicant information indicating the years of experience is acquired as a parameter, so when displaying the remaining input screen, the server display unit 111 displays the number of years associated with the acquired years of experience in table TB12. Controls the display of the input screen so that the input screen is displayed in total. As a result, the longer the number of years of experience a job applicant has, the more job applicant information that can be obtained, so an input screen with a large number of input items can be displayed in order to input as much job applicant information as possible. . Note that job applicant information other than years of experience may be associated with the number of input items. In either case, the number of input items can be controlled more appropriately depending on the job applicant information acquired as a parameter than when the number of input items is fixed.

FIG. 25 is a diagram showing another example of the table. In the example of FIG. 25, when a job type is input as input information, a table TB13 is shown that associates the job type, which is the input information, with the input order. In table TB13, the job category "manager" is associated with "management-related input items" first and "other input items" later. Further, the job type "Professional" is associated with an order in which "input items related to skills/qualifications" are placed first and "other input items" are placed later.

Further, the job category "office worker" is associated with the order in which "input items related to business processes" are placed first, followed by "other input items." The server display unit 111 displays each input item on the job applicant terminal 20 in the order in which it is associated with the job category acquired as job applicant information in the table TB13. This allows input items with more closely related contents for each job type to be entered first. Note that job applicant information other than job type may be associated with the input order. In either case, the input order can be controlled more appropriately depending on the job applicant information acquired as a parameter than when the input order is fixed.

FIG. 26 is a diagram showing another example of the table. In the example of FIG. 26, when a job type is input as input information, a table TB14 is shown that associates the job type, which is the input information, with the input method. In table TB14, the input methods "selection type," "input type + selection type," and "selection type" are associated with the job categories "managerial position," "professional position," and "office job." The "selection method" is a method of presenting input information options using a pull-down list, etc., and the "input method" is a method of inputting characters one by one using a keyboard. The server display unit 111 first displays an input screen for inputting job type as input information.

Then, job applicant information indicating the job type is acquired as a parameter, so when displaying the next input screen, the server display unit 111 inputs the job using the input method associated with the acquired job type in table TB14. An input screen is displayed on the job applicant terminal 20. The selection method may be applied, for example, when the job applicant information to be input is determined to some extent, and the input method may be applied, for example, when there is a large amount of job applicant information to be input and there are not enough options to list. Note that job applicant information other than the job type may be associated with the input method. In either case, the input method can be controlled more appropriately according to job applicant information acquired as a parameter than when the input method is fixed.

FIG. 27 is a diagram showing another example of the table. In the example of FIG. 27, when a job type is input as input information, a table TB15 is shown that associates the job type, which is the input information, with the input amount. The input amount is, for example, the number of pieces of input information input. In table TB15, for the job category "manager", the input amount "large" is associated with "management-related input items" and the input amount "few" is associated with "other input items".

Furthermore, in the job category "Professional", the input amount "large" is associated with the "input items related to skills/qualifications", and the input amount "low" is associated with the "other input items". Furthermore, in the job category "office worker", the input amount "large" is associated with "business process-related input items", and the input amount "small" is associated with "other input items". The server display unit 111 displays each input item on the job applicant terminal 20 with the input amount associated with the job type acquired as job applicant information in table TB15.

As a result, it is possible to increase the input amount of content that is more closely related to each job type. Note that the amount of input may be expressed by the number of characters or lines of job applicant information input, the size of the input field, etc. Further, job applicant information other than job type may be associated with the input amount. In either case, the input amount can be controlled more appropriately depending on the job applicant information acquired as a parameter than when the input amount is fixed.

Note that the tables shown in FIGS. 23 to 27 are just examples, and each table has three types of correspondence, but two or four or more types may be used. Further, the job applicant information associated in each table may be registered information. In that case, the server display unit 111 uses a screen configured to allow input items, number of input items, input order, input method, or input amount according to the acquired parameters (registered information) as a variable input screen. Display. In addition, as mentioned above, the input screen includes a variable input screen whose configuration changes according to predetermined parameters, so that more appropriate items can be selected than when the input screen configuration is fixed. can be input.

<Configuration variations>
The configuration shown in FIG. 1 etc. is an example, and other aspects may be adopted as long as there are no inconveniences in implementation. For example, one device may be distributed among two or more devices, or may be replaced by a cloud computing system. Furthermore, the functions of one device may be realized by being distributed among two or more devices, or the functions of two or more devices may be realized centrally by one device. Further, the operation performed by one function may be performed by two or more functions in a distributed manner, or two or more functions may be integrated into one function. In short, as long as each necessary function is realized in the entire text creation support system 1, the device that realizes those functions may have any configuration.

The aspect of the embodiment described above is an information processing apparatus such as the server device 10 or an information processing system such as the text creation support system 1 including the server device 10, but it may also be an information processing method. The information processing method includes steps executed by the text creation support system. Moreover, the aspect of the embodiment described above may be a program. The program causes the computer to perform each step that the writing support system performs.

<Other variations>
The output destination of information or data (hereinafter referred to as "information etc.") may be another device, a display, a storage unit (including a built-in storage unit and an external storage unit), etc. Acquisition of information etc. includes a mode of acquiring information etc. generated by the own device in addition to a mode of acquiring information etc. transmitted from another device. The table in which parameters are associated is not limited to the table shown in the figure, and the number of parameters may be decreased or increased. Furthermore, information corresponding to the parameters may be obtained using a mathematical expression, conditional expression, or the like, without using a table.

<Additional notes>
Furthermore, each aspect described below may be provided.

(1) A text creation support system, comprising a processor, in the input step, the processor displays an input screen that accepts input of job applicant information regarding the job applicant, and in the instruction step, based on the job applicant information. An instruction is given to an artificial intelligence to create a text regarding the work history of the job applicant, and the artificial intelligence has a learning model that receives the job applicant information as input and outputs the text, and in the display step, A text creation support system that displays the text output by the artificial intelligence based on instructions.

According to such an aspect, it is possible to easily create a text regarding the job applicant's work history.

(2) The text creation support system according to (1) above, wherein the learning model is a model obtained by machine learning of job applicant information and job postings for learning.

According to this aspect, it is possible to create a text that takes into account the content required by the job offer.

(3) In the text creation support system according to (1) or (2) above, in the re-input step, the processor editably displays the job applicant information that was input when the instruction was given. The writing support system displays a screen as the input screen, and in the instruction step, the instruction is given again based on the job applicant information edited on the input screen.

According to this aspect, it is possible to facilitate the task of repeatedly creating sentences.

(4) In the text creation support system according to any one of (1) to (3) above, the job applicant information includes a plurality of items that are input to the artificial intelligence and used to output the text. information, and in the input step, the processor requests input of the job applicant information corresponding to each of at least two or more items of the plurality of items as the input screen. A writing support system that displays individual input screens while switching between them.

According to such an aspect, input errors can be suppressed.

(5) In the text creation support system according to (4) above, in the input step, the processor displays a plurality of objects corresponding to each of the individual input screens on all of the individual input screens. , a text creation support system that displays an object corresponding to the individual input screen that is being inputted among the plurality of objects in a manner different from other objects.

According to this aspect, it is possible to easily grasp the overall impression of the input work.

(6) In the writing support system according to any one of (1) to (5) above, the input screen includes a configuration related to inputting the job applicant information according to predetermined parameters regarding the job applicant. The text creation support system includes a variable input screen in which the parameter changes, and the processor obtains the parameter in the obtaining step, and displays the variable input screen according to the obtained parameter in the input step.

According to this aspect, more appropriate items can be input.

(7) In the text creation support system according to (6) above, in the input step, the processor inputs input items, number of input items, input order, input method, or input amount according to the obtained parameters. A text creation support system that displays a screen configured to allow input as the variable input screen.

According to this aspect, more appropriate items can be input.

(8) In the writing support system described in (4) above, the processor acquires predetermined parameters regarding the job applicant in the acquisition step, and in the input step, the acquired parameters are determined for each of the input items. A text creation support system that displays words and phrases according to the parameters as input candidates.

According to this aspect, input can be made simple.

(9) In the text creation support system according to (8) above, in the input step, the processor selects the word search result corresponding to the input character every time one character is input on the input screen. A text creation support system that displays input candidates.

According to this aspect, input can be made easier.

(10) In the writing support system according to any one of (6) to (9) above, the parameters include the job applicant information that has been input in a predetermined item included in the input screen. , a writing support system.

According to this aspect, optimization can be performed without any prior work.

(11) The text creation support system according to any one of (6) to (10) above, wherein the parameters include registered information regarding the job seeker registered in advance.

According to this aspect, optimization can be performed starting from the first input item.

(12) In the text creation support system according to any one of (1) to (11) above, the text has two or more chapters, and in the instruction step, the processor A text creation support system that gives the instruction and, in the display step, displays the chapters output by the artificial intelligence side by side as the text.

According to this aspect, it is possible to create sentences with more appropriate content.

(13) In the text creation support system according to (12) above, the processor may, in the instruction step, specify the number of chapters, the content of each chapter, and the content of each chapter according to the input on the presented input screen. A writing support system that gives the instructions so that the chapters are displayed in the order in which they are displayed or the amount of each chapter is determined.

According to this aspect, it is possible to create sentences with more appropriate content.

(14) In the writing support system according to (12) or (13) above, in the instruction step, the processor instructs the artificial intelligence to output two or more sentence options for one chapter. and in the displaying step, selectably displays the two or more sentence options output by the artificial intelligence, and displays a sentence in which the selected sentences are arranged.

According to such an aspect, it is possible to create sentences that more closely reflect the intentions of the job seeker.

(15) In the text creation support system according to any one of (12) to (14) above, in the display step, when the artificial intelligence sequentially outputs a plurality of the chapters, the processor A text creation support system that displays chapters in order from the outputted chapters without waiting for the chapters to be completed.

According to such an aspect, the response performance can be experienced.

(16) In the text creation support system according to any one of (1) to (15) above, in the instruction step, the processor may include words used in a text related to work history, a description of work, and a description of an organization. Or a text creation support system that provides the instructions using instruction data that includes a description of the results.

According to this aspect, necessary content can be included in the text more reliably.

(17) An information processing method, comprising each step of the text creation support system described in any one of (1) to (16) above.

(18) A program that causes a computer to execute each step of the text creation support system described in any one of (1) to (16) above.
Of course, this is not the case.
Furthermore, the embodiments and modifications described above may be implemented in any combination.

Finally, although various embodiments according to the present invention have been described, these are presented as examples and are not intended to limit the scope of the invention. The new embodiment can be implemented in various other forms, and various omissions, substitutions, and changes can be made without departing from the gist of the invention. The embodiments and their modifications are included within the scope and gist of the invention, as well as within the scope of the invention described in the claims and its equivalents.

1: Text creation support system 10: Server device 11: Control unit 20: Job seeker terminal 21: Control unit 111: Server display unit 112: Memory control unit 113: AI control unit 114: Artificial intelligence unit 115: Parameter acquisition unit 116: Candidate determination section 211: User display section 212: Operation reception section

Claims (23)

A writing support system,
a processor, the processor comprising:
In the input step, input of job applicant information regarding the job applicant is accepted,
In the instruction step, an instruction is given to the artificial intelligence to create a sentence regarding the job applicant's work history based on the job applicant information ,
In the displaying step, displaying the sentence outputted by the artificial intelligence based on the instruction,
The job applicant information includes information on multiple items,
In the input step, for the job applicant information corresponding to each of at least two of the plurality of items, input is requested individually for each of the plurality of items while sequentially switching the plurality of items.
Text writing support system. In the text creation support system according to claim 1,
The processor,
In the input step, input of the plurality of items is requested step by step, and when input of the job applicant information corresponding to one item is received, input of the next step item is requested. system. In the text creation support system according to claim 1,
The processor,
In the input step, the text creation support system requests the input of the plurality of items in stages, and when there is an item for which the job applicant information has not been input, requests the input of the next stage item. In the text creation support system according to claim 2,
The processor,
In the instruction step, the text creation support system provides the instruction to the artificial intelligence after the job applicant information corresponding to all of the plurality of items is input. A writing support system,
a processor, the processor comprising:
In the input step, input of job applicant information regarding the job applicant is accepted,
In the instruction step, an instruction is given to the artificial intelligence to create a sentence regarding the job applicant's work history based on the job applicant information,
In the displaying step, displaying the sentence outputted by the artificial intelligence based on the instruction,
The job applicant information includes information on multiple items,
In the input step, regarding the job applicant information corresponding to at least two of the plurality of items, input is individually requested for each of the plurality of items, and the job applicant information corresponding to one item is requested to be input individually for each of the plurality of items. A text creation support system that, when accepting information input, displays the contents of the next item to be input. In the text creation support system according to claim 5,
The processor,
In the input step, when the input of the job applicant information corresponding to one item is accepted, the writing support system displays an input field for the next item to be requested. In the text creation support system according to claim 1,
The artificial intelligence has a learning model that machine learns job applicant information and job postings for learning.
Text writing support system. In the text creation support system according to claim 1,
The processor,
In the input step, the writing support system displays an input screen that accepts input of the job applicant information. In the text creation support system according to claim 8 ,
The processor,
In the re-input step, a screen that editably shows the job applicant information that was input when the instruction was given is displayed as the input screen;
In the instruction step, the instruction is given again based on the job applicant information edited on the input screen.
Text creation support system. In the text creation support system according to claim 8 ,
The processor,
In the input step, while switching between individual input screens for each of the two or more items that request input of the job applicant information corresponding to each of at least two or more of the plurality of items, as the input screen. display a plurality of objects corresponding to each of the individual input screens on all of the individual input screens, and display the object corresponding to the individual input screen that is being input among the plurality of objects on all of the individual input screens. display the object in a different manner,
Text writing support system. In the text creation support system according to claim 8 ,
The input screen includes a variable input screen in which a configuration regarding input of the job applicant information changes according to predetermined parameters regarding the job applicant,
The processor,
In the acquisition step, the parameters are acquired;
In the input step, displaying the variation input screen according to the acquired parameters;
Text writing support system. The text creation support system according to claim 11 ,
The processor,
In the input step, a screen configured to allow input using input items, number of input items, input order, input method, or input amount according to the acquired parameters is displayed as the variable input screen.
Text writing support system. In the text creation support system according to claim 8 ,
The processor,
In the acquisition step, predetermined parameters regarding the job applicant are acquired;
In the input step, for each of the plurality of input items, a phrase corresponding to the obtained parameter is displayed as an input candidate.
Text writing support system. The text creation support system according to claim 13 ,
The processor,
In the input step, each time a character is input on the input screen, a search result of a word corresponding to the input character is displayed as the input candidate.
Text writing support system. The text creation support system according to claim 11 ,
The parameters include the job applicant information that has been input in a predetermined item included in the input screen.
Text writing support system. The text creation support system according to claim 11 ,
The parameters include registration information regarding the job applicant registered in advance.
Text writing support system. In the text creation support system according to claim 8 ,
The text has two or more chapters,
The processor,
In the instruction step, the instructions are given for each chapter,
In the displaying step, the chapters outputted by the artificial intelligence are displayed as the text side by side.
Text writing support system. In the text creation support system according to claim 17 ,
The processor,
In the instruction step, the instructions are given so that the text has the number of chapters, the content of each chapter, the display order of each chapter, or the amount of each chapter according to the input on the input screen presented.
Text writing support system. In the text creation support system according to claim 17 ,
The processor,
In the instruction step, the artificial intelligence is instructed to output two or more sentence options for one chapter,
In the display step, the two or more sentences outputted by the artificial intelligence are displayed in a selectable manner, and a sentence in which the selected sentences are arranged is displayed.
Text writing support system. In the text creation support system according to claim 17 ,
The processor,
In the displaying step, when the artificial intelligence sequentially outputs a plurality of the chapters, the output chapters are sequentially displayed without waiting for all the chapters to be completed.
Text creation support system. In the text creation support system according to claim 1,
The processor,
In the instruction step, the instruction is given using instruction data including words used in sentences related to work history, job descriptions, organization descriptions, or results descriptions.
Text writing support system. An information processing method,
Each step of the text creation support system according to any one of claims 1 to 21 is provided.
Information processing method. A program,
A program that causes a computer to execute each step of the text creation support system according to any one of claims 1 to 21 .