Information processing system, information processing method, and program
The information processing system addresses recruitment policy ambiguity by generating an ideal candidate image and outlining recruitment steps, improving the efficiency and quality of recruitment activities.
Patent Information
- Application Number
- JP2022103848
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2022-06-28
- Publication Date
- 2025-01-07
- Estimated Expiration
- 2042-06-28
AI Technical Summary
Recruitment activities suffer from inefficiency and reduced quality when an organization's recruitment policy is ambiguous.
An information processing system that includes a control unit to receive user inputs on recruitment requirements, generate an image of an ideal candidate based on importance factors, and output recruitment policy information using reference data on organizational strengths.
Enables users to easily create a clear and effective recruitment policy by visualizing the ideal candidate and outlining specific recruitment steps, enhancing the efficiency and quality of the recruitment process.
Smart Images

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Abstract
Description
[Technical field]
[0001] The present invention relates to an information processing system, an information processing method, and a program. [Background technology]
[0002] Conventionally, information processing systems that support the recruiting activities of organizations are known. For example, Patent Literature 1 discloses a technology that creates a talent model based on information on multiple employees and delivers recruitment advertisements to talent that have similar characteristics to the talent model. [Prior art documents] [Patent documents]
[0003] [Patent Document 1] JP 2020-072800 A Summary of the Invention [Problem to be solved by the invention]
[0004] However, there was a possibility that the efficiency and quality of recruitment activities would decrease if recruitment activities were carried out in a situation where the organization's recruitment policy was unclear.
[0005] In view of the above circumstances, the present invention provides a technique that enables a user to easily create a policy for hiring ideal candidates for employment. [Means for solving the problem]
[0006] According to one aspect of the present invention, there is provided an information processing system. The information processing system includes a control unit. The control unit is configured to execute the following steps. In a first reception step, an input of requirements related to candidates for employment in an organization is received from a user. In a first output control step, a character profile of a fictional character identified based on the requirements and first reference information related to the importance of the requirements is output. In a second output control step, policy information related to the employment of the candidates for employment is output based on the character profile and second reference information related to the strengths of the organization.
[0007] According to the present invention, a user can easily create a policy for recruiting ideal candidates for employment. [Brief description of the drawings]
[0008] [Figure 1] 1 is a diagram showing an overall configuration of an information processing system 1. [Diagram 2] 2 is a block diagram showing a hardware configuration of an information processing device 2. FIG. [Diagram 3] FIG. 2 is a block diagram showing a hardware configuration of a user terminal 3. [Figure 4] 2 is a functional block diagram showing functions of an information processing device 2. FIG. [Diagram 5] 2 is an activity diagram showing an example of the flow of information processing executed in the information processing system 1. FIG. [Figure 6] 2 shows an example of a requirement input screen 4 displayed on a display unit 34 of a user terminal 3. [Figure 7] 1 shows an example of a portrait determination screen 5 displayed on the display unit 34 of the user terminal 3. [Figure 8] 1 shows an example of a report display screen 6 displayed on the display unit 34 of the user terminal 3. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0009] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. Various features shown in the following embodiments can be combined with each other.
[0010] Incidentally, the program for realizing the software appearing in this embodiment may be provided as a non-transitory computer-readable recording medium, or may be provided so as to be downloadable from an external server, or may be provided so that the program is started on an external computer and its functions are realized on a client terminal (so-called cloud computing).
[0011] In addition, in this embodiment, the term "unit" may include, for example, a combination of hardware resources implemented by a circuit in the broad sense and software information processing that can be specifically realized by these hardware resources. In addition, in this embodiment, various information is handled, and this information is represented, for example, by physical values of signal values representing voltage and current, high and low signal values as a binary bit collection consisting of 0 or 1, or quantum superposition (so-called quantum bits), and communication and calculation can be performed on the circuit in the broad sense.
[0012] In addition, a circuit in the broad sense is a circuit realized by at least appropriately combining a circuit, circuitry, a processor, a memory, etc. In other words, it includes an application specific integrated circuit (ASIC), a programmable logic device (e.g., a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA)), etc.
[0013] 1. Hardware Configuration In this section, a hardware configuration of the information processing system 1 according to this embodiment will be described.
[0014] 1.1. Information Processing System 1 The information processing system 1 comprises an information processing device 2 and a user terminal 3, which are configured to be able to communicate with each other via a network (telecommunication line). In one embodiment, the information processing system 1 is made up of one or more devices or components. For example, if the information processing system 1 is made up only of the information processing device 2, the information processing system 1 can be the information processing device 2, and if the information processing system 1 is made up only of the user terminal 3, the information processing system 1 can be the user terminal 3. Each of these components will be further described below.
[0015] 1.2. Information processing device 2 2 is a block diagram showing a hardware configuration of the information processing device 2. The information processing device 2 includes a communication unit 21, a storage unit 22, and a control unit 23, and these components are electrically connected via a communication bus 20 inside the information processing device 2.
[0016] The communication unit 21 is preferably a wired communication means such as USB, IEEE1394, Thunderbolt (registered trademark), wired LAN network communication, etc., but may also include wireless LAN network communication, mobile communication such as 3G / LTE / 5G, BLUETOOTH (registered trademark) communication, etc. as necessary. In other words, it is more preferable to implement it as a collection of these multiple communication means.
[0017] The storage unit 22 stores various pieces of information defined by the above description. This can be implemented, for example, as a storage device such as a solid state drive (SSD) that stores various programs related to the information processing device 2 executed by the control unit 23, or as a memory such as a random access memory (RAM) that stores temporarily required information (arguments, arrays, etc.) related to the calculation of the programs. It may also be a combination of these.
[0018] The control unit 23 performs processing and control of the overall operation related to the information processing device 2. The control unit 23 is, for example, a central processing unit (CPU) not shown. The control unit 23 realizes various functions related to the information processing device 2 by reading out a predetermined program stored in the storage unit 22. That is, information processing by software stored in the storage unit 22 can be specifically realized by the control unit 23, which is an example of hardware, and executed as each functional unit included in the control unit 23. Note that the control unit 23 is not limited to being single, and may be implemented with multiple control units 23 for each function. Also, a combination of these may be used.
[0019] 1.3. User terminal 3 The user terminal 3 may be in any form, such as a smartphone, a tablet terminal, a computer, or the like, as long as it can access the information processing device 2 via a telecommunications line.
[0020] 3 is a block diagram showing a hardware configuration of the user terminal 3. The user terminal 3 includes a communication unit 31, a storage unit 32, a control unit 33, a display unit 34, and an input unit 35, and these components are electrically connected via a communication bus 30 inside the user terminal 3. Descriptions of the communication unit 31, the storage unit 32, and the control unit 33 are omitted because they are similar to the descriptions of the respective units in the information processing device 2.
[0021] The display unit 34 may be included in the housing of the user terminal 3 or may be externally attached. The display unit 34 displays a screen of a graphical user interface (GUI) that can be operated by the user. This is preferably implemented by using display devices such as a CRT display, a liquid crystal display, an organic EL display, and a plasma display depending on the type of the user terminal 3. In the following description, the display unit 34 is assumed to be included in the housing of the user terminal 3.
[0022] The input unit 35 may be included in the housing of the user terminal 3, or may be externally attached. For example, the input unit 35 may be implemented as a touch panel integrated with the display unit 34. If it is a touch panel, the user can input a tap operation, a swipe operation, or the like. Of course, a switch button, a mouse, a QWERTY keyboard, or the like may be adopted instead of the touch panel. That is, the input unit 35 accepts an operation input made by the user. The input is transferred as a command signal to the control unit 33 via the communication bus 30, and the control unit 33 can execute a predetermined control or calculation as necessary.
[0023] 2. Functional configuration The functional configuration of this embodiment will be described. Fig. 4 is a functional block diagram showing the functions of the information processing device 2. As described above, information processing by the software stored in the storage unit 22 is specifically realized by hardware (specifically, the control unit 23), and can be executed as each functional unit included in the control unit 23. In other words, the information processing system 1 includes each functional unit in a program.
[0024] Specifically, the control unit 23 includes, as its functional units, a reception unit 230, an output control unit 231, a learning unit 232, and a display control unit 233. Note that the learning unit 232 and the display control unit 233 may be omitted.
[0025] The reception unit 230 is configured to be able to execute a first reception step, a second reception step, and a third reception step. Specifically, for example, the reception unit 230 is configured to be able to receive information via the communication unit 21 or the storage unit 22 and read the information into a working memory. In particular, the reception unit 230 receives various inputs by the user via the input unit 35 of the user terminal 3. The reception unit 230 also receives various information from the information processing device 2 via the network and the communication unit 21. In this embodiment, the various information received by the reception unit 230 will be described as being stored in the storage unit 22.
[0026] The output control unit 231 is configured to be able to execute a first output control step and a second output control step. Specifically, for example, the output control unit 231 is configured to be able to output various information as documents, images, audio, video files, etc. The output files may be stored in the storage unit 22, or may be transmitted to the user terminal 3 via the communication unit 21 and a network. In addition, the files transmitted to the user terminal 3 may be output from an external device such as a printer or speaker via the communication unit 31, for example.
[0027] The learning unit 232 is configured to be able to execute a learning step. Specifically, for example, the learning unit 232 is configured to be able to input various pieces of information received by the receiving unit 230 to at least one or more learning devices and generate a trained model using a machine learning technique. The machine learning technique is not particularly limited, and a known machine learning algorithm may be used. Specifically, for example, linear regression, support vector machine (SVM), logistic regression, decision tree, random forest, boosting, neural network, heterogeneous mixture learning, combinations thereof, and the like may be appropriately adopted. In the following, when the reference information is a trained model, the expression "matching specific data with reference information" may refer to inputting specific data into the trained model. The trained model may generate at least one output y1 based on at least one input x1, for example. The input x1 is also called an explanatory variable. The output y1 is also called an evaluation function.
[0028] The display control unit 233 is configured to be able to execute a display control step. Specifically, for example, the display control unit 233 displays various pieces of information received from the information processing device 2 or stored in the storage unit 32, or screens, images, etc. including these, in a manner viewable by the user terminal 3. For example, the display control unit 233 controls visual information such as screens, images including still images or videos, icons, messages, etc. to be displayed on the display unit 34 of the user terminal 3. The display control unit 233 may generate only rendering information for displaying the visual information on the user terminal 3.
[0029] 3. Details of data processing In this section, with reference to the drawings, an information processing method executed by the information processing system 1 will be described. As shown below, the information processing method includes the following steps. Note that the order of the processes can be changed as appropriate, and multiple processes may be executed simultaneously, or all of the processes may not be executed.
[0030] 3.1. Overview of information processing 5 is an activity diagram showing an example of the flow of information processing executed in the information processing system 1. As an example, a situation will be described in which a plurality of users who are employees involved in the recruitment activities of a company consider a policy for the recruitment activities.
[0031] First, as a first reception step, the reception unit 230 receives an input of requirements RQ regarding candidates for employment in an organization from a user (activity A001). Specifically, for example, the reception unit 230 receives an input of requirements RQ regarding an ideal candidate for employment from a user via the input unit 35 and the communication unit 31. The "ideal candidate for employment" here may be based on the user's subjective opinion.
[0032] The receiving unit 230 may receive an input from a user selecting one or more requirements RQ from a plurality of requirements RQ stored in advance, or may receive text freely entered by the user, an image prepared by the user, or the like. Preferably, the input is an input for selecting one of a plurality of options presented by an image or a character string. This embodiment allows the user to more easily input the requirements RQ of the hiring candidates.
[0033] Preferably, the reception unit 230 receives the requirements RQ from each of the multiple users. Specifically, for example, the reception unit 230 receives the requirements RQ via the input unit 35 in the user terminal 3 of each of the multiple users. This embodiment allows multiple users to participate in the consideration of the recruitment activity policy at a time convenient for them, without actually meeting up, which is more user-friendly.
[0034] Preferably, the requirement RQ includes a requirement RQ regarding the appearance of the candidate for employment. The appearance of the candidate for employment may be the appearance of the candidate for employment. For example, the requirement RQ regarding appearance may be information specifying the face, expression, physique, height, etc. Specifically, the receiving unit 230 receives from the user an image (e.g., a photo, illustration, video, etc.) of a person with an ideal appearance as a candidate for employment.
[0035] More preferably, the requirement RQ includes a requirement RQ regarding the attributes of the candidate for employment. The attribute of the candidate for employment may be the characteristics or properties of the candidate for employment. For example, the requirement RQ regarding the attributes may be information that specifies the gender, age, hometown, alma mater, major, organizations to which the candidate has belonged (e.g., clubs, circles, seminars, companies, etc.), hobbies, special skills, dreams for the future, desired industry, etc.
[0036] More preferably, the requirement RQ includes a requirement RQ related to the behavior of the recruit. For example, the requirement RQ related to the behavior may be information that specifies what part-time job the recruit is doing, which company the recruit is applying for, what media (e.g., websites, SNS, television, radio, magazines, etc.) or programs the recruit is usually watching, where the recruit is usually visiting, wake-up time and bedtime, daily routine, favorite food, favorite book, etc.
[0037] In this manner, the ideal image of the candidate for employment can be created more clearly and in detail. Also, by clarifying the image of the person targeted in the recruitment activity, it becomes possible to create a clearer recruitment policy.
[0038] Next, the output control unit 231 compares the requirement RQ received in the activity A001 with the first reference information RF1 read from the storage unit 22 (activity A002). The first reference information RF1 may be a trained model (hereinafter, referred to as a person image creation model) that has previously trained the relationship between a plurality of requirements RQ and their importance.
[0039] Next, as a first output control step, the output control unit 231 outputs the portrait of the fictional character identified based on the requirement RQ and the first reference information RF1 related to the importance of the requirement RQ. Specifically, for example, the display control unit 233 displays candidates for the portrait of the fictional character output as a result of the activity A002 in a manner that is visible to the user (activity A003). For example, the display control unit 233 may display the portrait of a specific person on the display unit 34 of the user terminals 3 of multiple users.
[0040] The portrait may include, for example, an image (e.g., a still image or a video image) showing the appearance of a particular person, and text showing the specified requirements RQ regarding attributes and behavior. Preferably, the output portrait includes an image showing the appearance of one person. There is no particular limit to the number of portraits as long as it is one or more, but the following description will be given assuming that multiple portraits are output.
[0041] Next, the receiving unit 230 receives an input for selecting a specific portrait from a representative user who is one of the multiple users (activity A004). Specifically, for example, the receiving unit 230 receives an input for selecting a specific portrait from the representative user via the input unit 35.
[0042] Next, the output control unit 231 matches the person profile received in the activity A004 with the second reference information RF2 on the strengths of the organization read from the storage unit 22 (activity A005). For example, the second reference information RF2 may include a database on the strengths of the organization stored in the storage unit 22. The strengths of the organization may be, for example, a sentence, a noun phrase, a word, or the like that expresses a characteristic that is a strength. For example, the strengths of the organization may be text data such as "high salary," "generous welfare benefits," "a culture that values colleagues," "an environment where one can take on challenges," and "a creative product line." In addition, for example, the second reference information RF2 may include a trained model (hereinafter referred to as a policy information creation model) that has trained the relationship between the person profiles of multiple people and the strengths of the organization that the person values. Preferably, the second reference information RF2 includes a database on the strengths of the organization and a policy information creation model.
[0043] Next, as a second output control step, the output control unit 231 outputs policy information PL regarding the hiring of the hiring target based on the person profile and the second reference information RF2 regarding the strengths of the organization. Preferably, the policy information PL includes one or more specific organizational strengths. Preferably, the policy information PL includes a hiring concept, which is a sentence generated based on a plurality of strengths. More preferably, the policy information PL includes a hiring slogan expressing the hiring concept in one or two sentences. Even more preferably, the policy information PL includes a hiring flow, which is a series of hiring steps recommended to the user. With this aspect, the user can easily create a more specific policy regarding hiring. Below, as an example, a mode in which the strengths of the organization, the hiring concept, and the hiring flow are output will be described.
[0044] Specifically, the output control unit 231 outputs one or more strengths of the organization as a result of the matching in activity A005, and stores them in the storage unit 22 (activity A006). Preferably, the number of strengths output is 2 to 6, more preferably 2 to 5, and even more preferably 2 to 3. This makes it possible to differentiate the strengths from other organizations, and makes it easier to communicate the strengths to potential employers.
[0045] Furthermore, the output control unit 231 outputs a proposal for an adopted concept based on the outputted strengths of the organization, and stores it in the storage unit 22 (activity A006). Specifically, for example, the output control unit 231 inputs a plurality of strengths into a trained model (hereinafter referred to as an adopted concept generation model) read from the storage unit 22, and generates a proposal for one or more sentences (i.e., an adopted concept). The adopted concept generation model may be a model that has been trained on a plurality of strengths and an adopted concept manually generated based on the strengths. Next, the display control unit 233 causes the display unit 34 of the user terminals 3 of the plurality of users to display the outputted proposals for the adopted concept.
[0046] The process of generating a sentence may be executed in the following manner. First, the output control unit 231 divides the sentence related to the strengths by morphological analysis. Next, the output control unit 231 inputs the divided text data to an adoption concept generation model to identify a plurality of words. Finally, the sentence generated by rearranging the identified words is output. As one embodiment, the sentence may not only be generated by simply rearranging the words included in the sentence related to the strengths, but also may be generated by using other words similar in meaning to the analyzed sentence or words.
[0047] As an example, based on the three strengths "We have a culture that values our colleagues," "We have an environment that encourages challenges," and "We have an original product range," the following sentence could be output as a recruitment concept: "Here is a world where you can take on challenges in an environment where you will never suffer alone and where you will never abandon your colleagues. Why not join us in creating products that will change the world?"
[0048] Next, the receiving unit 230 receives an input for finalizing the adopted concept from the representative user (activity A007). Specifically, for example, the receiving unit 230 receives an input from the representative user via the input unit 35 to select an adopted concept from among a plurality of proposed adopted concepts. As another aspect, the receiving unit 230 may receive the adopted concept from the representative user by free-form text entry.
[0049] Next, the output control unit 231 generates and outputs a proposal for an adoption flow based on the adoption concept determined in activity A007 (activity A008). Specifically, for example, the output control unit 231 inputs the adoption concept into a trained model (hereinafter referred to as an adoption flow generation model) read from the storage unit 22, generates one or more adoption flow proposals, and stores them in the storage unit 22. The adoption flow generation model may be a model that has been trained on the adoption concept and an adoption flow manually generated based on the adoption concept. Next, the display control unit 233 causes the display unit 34 of the user terminals 3 of the multiple users to display the multiple adoption slogan proposals that have been output.
[0050] The recruitment flow includes, for example, a process of making the candidate aware of the company, a process of meeting the candidate, a process of selecting the candidate, and a process from after making a job offer to the candidate to the job offer ceremony. The proposal of the recruitment flow may include, for example, a plurality of means recommended to the user in each of these processes. For example, in the process of meeting the candidate in new graduate recruitment, there are options such as holding an information session at a university, holding a tour of the business establishment, and implementing an internship. For example, if the recruitment concept includes the phrase "never abandon your colleagues," it may be recommended to implement an internship in which students experience work as part of a team in order to convey to students a culture of valuing colleagues. In addition, for example, it may be recommended to emphasize the quality of whether or not there is cooperation in the selection process.
[0051] Next, the receiving unit 230 receives an input for finalizing the hiring flow from the representative user (activity A009). Specifically, for example, the receiving unit 230 receives an input for selecting the content to be implemented in each step in the hiring flow from the representative user via the input unit 35. As another aspect, the receiving unit 230 may receive text input by the representative user.
[0052] Next, the output control unit 231 outputs the report and the recruitment flow schedule, and stores them in the storage unit 22 (activity A010). The report may include the identified organizational strengths, recruitment concept, recruitment slogan, recruitment flow, etc. The recruitment flow schedule may be a table for managing the recruitment flow. For example, the schedule may be a Gantt chart-type schedule, a bar chart-type schedule, a network-type schedule, etc. The schedule may also be a table for managing the transition in the number of candidates for recruitment at each stage. For example, the schedule may be a table that can manage the number of people who attended the information session, the number of people who applied, the number of people who passed each selection stage, the number of people who received job offers, etc.
[0053] 3.2 Details of data processing The above-mentioned information processing will be described in detail with reference to FIGS.
[0054] 6 shows an example of the requirement input screen 4 displayed on the display unit 34 of the user terminal 3. For example, in activity A001 in FIG. 5, the receiving unit 230 may receive requirements RQ from multiple users via the requirement input screen 4. The requirement input screen 4 includes, for example, a process display tab 41, a radio button 42, a radio button 43, an appearance image 44, an input box 45, an operation button 46, and an operation button 47.
[0055] The process display tab 41 is a tab that shows a series of processes for creating a policy regarding hiring. The process display tab 41 includes a process button 411 and a current location display 412. When the user selects any of the process buttons 411, a screen corresponding to each process may be displayed. The current location display 412 may display the current process in a manner that allows the user to recognize it (for example, by applying color). The description of the process display tab 51 and the process display tab 61 described below will be omitted because they are similar to the process display tab 41.
[0056] For example, the receiving unit 230 receives a requirement RQ from a user via the radio button 42, the radio button 43, the input box 45, etc. The radio button 42 indicates an unselected state, and the radio button 43 indicates a selected state. The requirement RQ regarding appearance may be received, for example, by an input to select one of a plurality of appearance images 44. For example, the display control unit 233 may change the candidates to be displayed as the appearance image 44 depending on the input contents of other items. The example in FIG. 6 shows a state in which a female appearance image 44 is displayed in response to "female" being input in the "gender" item.
[0057] The operation buttons 46 and 47 accept various operations in response to user input via the input unit 35. For example, operations such as adding options, uploading data, temporarily saving input contents, completing input and proceeding to the next step, returning to the previous step, saving input contents and ending the work, returning to the home screen, etc. The explanation of the operation button 57 described later is omitted because it is the same as the explanation of the operation buttons 46 and 47.
[0058] 7 shows an example of a character portrait determination screen 5 displayed on the display unit 34 of the user terminal 3. For example, in activity A003 in FIG. 5, the display control unit 233 may cause the display unit 34 to display the character portrait determination screen 5. The character portrait determination screen 5 includes a process display tab 51, a radio button 52, a radio button 53, a character portrait display area 54, an appearance image 55, a requirement list 56, and an operation button 57.
[0059] For example, the person image display area 54 displays a person image output by the output control unit 231. For example, an appearance image 55 and a requirement list 56 may be displayed in the person image display area 54. The appearance image 55 may be an image for identifying the appearance. Furthermore, the requirement list 56 may display a list of identified requirement RQs in text form. In the example of FIG. 7, the requirement list 56 includes requirement RQs such as "gender is female," "age is 21 years old," and "place of birth is Chiba Prefecture."
[0060] 5, the receiving unit 230 may receive an input from the user to confirm the portrait through selection of the radio button 52 and the radio button 53. In one aspect, the requirement RQ may be editable on the portrait determination screen 5. For example, the face, hairstyle, clothes, etc. of the appearance image 55 may be editable for each part. Also, for example, the requirement RQ included in the requirement list 56 may be editable by the user by freely entering text.
[0061] Fig. 8 shows an example of a report display screen 6 displayed on the display unit 34 of the user terminal 3. For example, in activity A010 of Fig. 5, the report display screen 6 may be displayed as an example of a report to be output. The report display screen 6 includes a process display tab 61, a strength display area 62, a personality display area 63, a hiring concept display area 64, a hiring slogan display area 65, and a hiring flow display area 66.
[0062] For example, the strengths display area 62 may display the strengths of the organization output in activity A006 in FIG. 5. For example, the personality image display area 63 may display the personality image determined in the personality image determination screen 5. The personality image display area 63 includes an appearance image 631 and a requirements list 632. For example, the recruitment concept display area 64 may display the recruitment concept output in activity A006. For example, the recruitment flow display area 66 may display the recruitment flow determined in activity A009. For example, the recruitment flow display area 66 includes a plurality of means 661. The means 661 may specifically indicate the means of recruitment activities performed by the user in each step of the recruitment flow.
[0063] 4. Variations The information processing system 1 according to the above embodiment may be configured as follows.
[0064] In one embodiment, each activity may allow subsequent processing to be interrupted. In that case, information received or output up to that activity is stored. The user may be able to resume processing from the interrupted point or from any processing prior to the interrupted point. For example, the requirement RQ stored in activity A001 may be reused when creating policy information PL different from the policy information PL that was once output.
[0065] In one embodiment, the fictional character image may be determined by calculating a majority vote or an average of the received requirements RQ. For example, the age of the candidate may be calculated by averaging the ages received from multiple users. For example, the gender of the candidate may be determined by the gender that is most common among the received inputs.
[0066] In one embodiment, the output control unit 231 may generate and output a proposal for a recruitment slogan based on the recruitment concept. Here, the recruitment slogan may be a slogan for recruitment activities. Specifically, for example, the output control unit 231 inputs the recruitment concept into a trained model (hereinafter referred to as a recruitment slogan generation model) read from the storage unit 22, generates one or more recruitment slogan proposals, and stores them in the storage unit 22. The recruitment slogan generation model may be a model that learns the recruitment concept and a recruitment slogan manually generated based on the recruitment concept. The process of generating a sentence may be the same as the process in the activity A006. As an example, "Challenge the unknown together with your friends," "As a team, surprise the world," and the like may be output as a proposal for a recruitment slogan. For example, the recruitment slogan generated may be displayed in the recruitment slogan display area 65 of the report display screen 6 in FIG. 8.
[0067] In one embodiment, the receiving unit 230 may receive, as a second receiving step, input of data indicating essential qualities required of the candidate for employment and qualities required but not essential from the user. The qualities may be, for example, those related to the abilities, skills, ideas, personality, thoughts, characteristics, etc. of the candidate for employment. The input of the data indicating the qualities may be, for example, a selection input from a plurality of candidates, or an input by free entry. The data indicating the qualities may be, for example, "not giving up," "voluntary," "obedient," "cooperative," etc. Preferably, the receiving unit 230 receives the data from a plurality of users. Also, preferably, the first reference information RF1 is a trained model (personality creation model) generated by inputting the received data to at least one learning device. Specifically, the learning unit 232 may generate a personality creation model that has learned the importance of each requirement RQ by inputting the received data to a learning device.
[0068] As one aspect, the receiving unit 230 may receive an input of the organization's strengths from the user as a third receiving step. Specifically, for example, the receiving unit 230 receives an input of the organization's strengths from the user via the input unit 35 and the communication unit 31. The receiving unit 230 may receive an input from the user selecting one or more strengths from a plurality of strengths stored in advance, or may receive the organization's strengths by the user's free entry. For example, the information received by the receiving unit 230 may be stored in a database related to the organization's strengths in the storage unit 22.
[0069] As an embodiment, activity A004 may be omitted. The output control unit 231 may execute the second output control step regardless of the selection input of a human image from the user.
[0070] In one embodiment, activity A006 and activity A007 may be omitted. The output control unit 231 may output a hiring flow based on the identified person profile and the second reference information RF2. The second reference information RF2 here may be a trained model that associates the person profile of the hiring target with the means at each step of the proposed hiring flow. In another embodiment, the output control unit 231 may output at least one of a hiring concept, a hiring slogan, and a hiring flow.
[0071] As one embodiment, the first reference information RF1 and the second reference information RF2 do not have to be learned models, but may be a lookup table or database that specifies the corresponding relationships between multiple pieces of information, a mathematical model that mathematically relates multiple pieces of information, a combination of two or more of these selected from among them, or the like.
[0072] In this embodiment, the reception unit 230, the output control unit 231, the learning unit 232, and the display control unit 233 are described as functional units realized by the control unit 23 of the information processing device 2, but at least a part of them may be implemented as functional units realized by the control unit 33 of the user terminal 3.
[0073] One aspect of the embodiment may be an information processing method. The information processing method includes each step in the information processing system 1. Another aspect of the embodiment may be a program. The program causes the user terminal 3, which is a computer, to execute each step in the information processing system 1.
[0074] Furthermore, it may be provided in the following aspects:
[0075] (1) An information processing system comprising a control unit configured to execute the following steps: a first reception step receives input of requirements related to candidates for employment in an organization from a user; a first output control step outputs a profile of a fictional character identified based on the requirements and first reference information related to the importance of the requirements; and a second output control step outputs policy information regarding the employment of the candidates based on the profile and second reference information related to the strengths of the organization.
[0076] (2) In the information processing system described in (1) above, in the first receiving step, the requirements are received from each of the multiple users.
[0077] (3) In the information processing system described in (1) or (2) above, the input is an input for selecting one of a plurality of options presented by an image or a character string.
[0078] (4) In the information processing system according to any one of (1) to (3) above, the requirements include requirements regarding the appearance of the candidate for employment.
[0079] (5) In the information processing system according to any one of (1) to (4) above, the requirements include requirements regarding attributes of the candidates for employment.
[0080] (6) In the information processing system according to any one of (1) to (5) above, the requirements include requirements regarding the behavior of the candidate for employment.
[0081] (7) In the information processing system according to any one of (1) to (6) above, the policy information includes an adoption flow, which is a series of steps for the adoption, recommended to the user.
[0082] (8) In the information processing system described in any one of (1) to (7) above, further, in the second reception step, input of data indicating essential qualities required of the candidate for employment and qualities that are required but not essential is received from the user, and the first reference information is a trained model generated by inputting the data into at least one learning device.
[0083] (9) In the information processing system according to any one of (1) to (8) above, the portrait includes an image showing the appearance of a single person.
[0084] (10) An information processing method, comprising the steps of the information processing system according to any one of (1) to (9) above.
[0085] (11) A program that causes a computer to execute each step in the information processing system according to any one of (1) to (9) above. Of course, this is not a limitation. The above (1) to (13) can be combined in any manner. For example, a combination of (1), (2), and (3) may be implemented.
[0086] Finally, although various embodiments according to the present disclosure have been described, these are presented as examples and are not intended to limit the scope of the invention. The novel embodiment can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. The embodiments and their modifications are included within the scope and spirit of the invention, and are included in the scope of the invention and its equivalents described in the claims. [Explanation of symbols]
[0087] 1: Information processing system 2: Information processing equipment 20: Communication bus 21: Communications Department 22: Storage section 23: Control section 230: Reception 231: Output control section 232: Learning Department 233: Display control unit 3: User terminal 30: Communication bus 31: Communications Department 32: Storage section 33: Control section 34:Display section 35: Input section 4: Requirements input screen 41: Process display tab 411: Process button 412: Current position display 42: Radio button 43: Radio button 44: Appearance image 45: Input box 46: Operation button 47: Operation button 5: Portrait selection screen 51: Process display tab 511: Process button 512: Current position display 52: Radio button 53: Radio button 54: Person image display area 55: Appearance image 56: List of requirements 57: Operation button 6: Report display screen 61: Process display tab 611: Process button 612: Current position display 62: Strengths display area 63: Person image display area 631: Appearance image 632: Requirements list 64: Recruitment concept display area 65: Recruitment slogan display area 66: Recruitment flow display area 661 :means PL: Policy information RF1: First reference RF2: Second Reference RQ: Requirements
Claims
1. An information processing system, A control unit is provided, The control unit is configured to execute the following steps: In the first receiving step, input of requirements for employees in the organization is received from a user; In the first output control step, a character image of a fictional character identified based on the requirement and first reference information related to the importance of the requirement is output; In the second output control step, the person image is matched or input to second reference information to output policy information regarding the employment of the employment candidate, The policy information includes specific organizational strengths; The second reference information is A lookup table that can refer to the correspondence between the personality profile and information about the organizational strengths that the personality profile values; or This is a trained model that has undergone machine learning to input the personality profile and output the organizational strengths that the personality profile values.
2. 2. The information processing system according to claim 1, In the first receiving step, the requirements are received from each of the multiple users.
3. 2. The information processing system according to claim 1, The input is an input for selecting one of a plurality of options presented by an image or a character string.
4. 2. The information processing system according to claim 1, The requirements include requirements regarding the appearance of the candidate for employment.
5. 2. The information processing system according to claim 1, The requirements include requirements regarding the attributes of the candidates for employment.
6. 2. The information processing system according to claim 1, The requirements include requirements regarding the behavior of the candidate for employment.
7. In the information processing system according to claim 1, The second reference information is a trained model in which machine learning is further performed so as to output an adoption concept, which is a sentence generated based on the plurality of strengths, when the plurality of strengths are input, In the second output control step, the policy information including the adopted concept is output.
8. In the information processing system according to claim 7, The second reference information is a trained model that has been machine-learned to output a hiring flow, which is a series of steps in the hiring process, when the hiring concept is input, In the second output control step, the policy information including the adoption flow is output.
9. 2. The information processing system according to claim 1, Furthermore, in the second receiving step, input of data indicating essential qualities required for the candidate for employment and qualities required but not essential is received from the user, The first reference information is a trained model generated by inputting the data into at least one learning device.
10. 2. The information processing system according to claim 1, In the display control step, an image showing an appearance of one person is displayed as the person image output in the first output control step so as to be visible to the user.
11. 1. An information processing method, comprising: A method comprising the steps of an information processing system according to any one of claims 1 to 10.
12. A program, A method for causing a computer to execute each step in the information processing system according to any one of claims 1 to 10.
Citation Information
Patent Citations
Simulation system, simulation method, simulation program, and recording medium
JP2009295017A
Personnel employment support system and personnel employment support program
JP2010015289A
Information processor and program
JP2019133637A
Information processing system, information processor, information processing program, and information processing method
JP2020072800A
Recruiting assistance method, computer program and recruiting assistance device
JP2020091808A