JP2023033012A - Human resources matching system, human resource matching method, and program - Google Patents

Abstract

To provide a human resources matching system, a human resources matching method, and a program that can retain a high quality of short-time and inexpensive consultation by allowing a consulter to more casually consult an expert and allowing the expert to use his/her free time as paid business hours.SOLUTION: In a human resource matching system 1 for matching an expert (a lawyer terminal 30) with a consulter (a consulter terminal 20), a computer 10 acquires a consultation content from the consulter, searches for the expert who answers to the acquired consultation content, outputs an attribute of the searched expert, a consultation method, a consultation charge, and consultation possible date and time, and acquires a consultation application to the output expert from the consulter.SELECTED DRAWING: Figure 1

Description

TECHNICAL FIELD The present invention relates to a technology effective for human resource matching that matches experts and consulters.

In recent years, in order to enhance the functions of the judiciary and meet the legal needs of the people, the number of successful applicants of the national bar examination has increased significantly, while the number of new lawsuits has decreased significantly. As a result, the number of cases accepted per lawyer has decreased significantly.
Power harassment, bullying, divorce, DV (Domestic Violence), fraud/consumer damage, Internet damage, and other legal troubles are on the rise. Due to a variety of factors, it was difficult for those who had problems with legal issues to actually consult with a lawyer.

When consulting with a lawyer, the client searches for a lawyer using a search engine or a personnel matching service.
As such a personnel matching service, for example, Patent Literature 1 discloses a configuration in which answers from lawyers who satisfy predetermined conditions are displayed in chronological order in response to consultations made by consulters.

Japanese Unexamined Patent Application Publication No. 2017-73007

However, even if the client suddenly wants to consult a lawyer and searches for a lawyer using a search engine, it is unclear which lawyer is most suitable, and consultations are by appointment only. , There was a problem that it does not correspond to sudden consultation.
In addition, some conventional human resource matching services aim to have lawyers respond to free consultations and then lead to appointments, but there are cases where the consulter ends up with only free consultations and does not lead to actual appointments. There were many For this reason, even if a lawyer takes his time and gives a polite answer, there is a problem that it is difficult to make a profit. In addition, since it is difficult for the lawyer to make a profit, it is difficult to maintain a sufficient level of response quality, and the client cannot obtain a satisfactory answer.
Therefore, the present inventors have made it possible for the consulter to consult with an expert more casually, and by making the expert's free time a paid business hour, the consultation can be conducted in a short time and at a low cost. I came up with the idea of a human resource matching system, human resource matching method and program that make it possible to maintain high quality.

The present invention makes it possible for a consulter to consult with an expert more easily, and by making the expert's free time a paid business hour, the consultation is of high quality in a short period of time and at a low price. The main purpose is to provide a human resources matching system, a human resources matching method, and a program that make it possible to maintain.

The present invention is a human resource matching system that matches experts and consulters,
a consultation content acquiring unit for acquiring consultation content from the consulter;
a search unit that searches for the expert who answers the acquired consultation content;
an expert output unit that outputs the attribute of the searched expert, consultation method, fee, and consultation available date and time;
an application acquisition unit that acquires the output consultation application to the expert from the consulter;
To provide a personnel matching system comprising

According to the present invention, a human resource matching system for matching an expert and a consulter acquires consultation content from the consulter, searches for the expert who answers the acquired consultation content, and The attribute of the expert, consultation method, fee, and available date and time for consultation are output, and a request for consultation to the output expert is obtained from the consulter.

Although the present invention is in the category of systems, the same actions and effects can be achieved with methods and programs.

According to the present invention, it is possible for a person to consult with an expert to consult with an expert more easily, and by making the expert's vacant time a paid business hour, the consultation can be performed at a high rate in a short period of time and at a low cost. Allows quality to be maintained.

It is a figure explaining the outline|summary of the personnel matching system 1. FIG. 1 is a diagram showing a functional configuration of a personnel matching system 1; FIG. FIG. 4 is a diagram showing a flowchart of attorney DB creation processing executed by the personnel matching system 1; It is a figure which shows an example of lawyer DB typically. FIG. 4 is a diagram showing a flowchart of attorney information output processing executed by the personnel matching system 1; 4 is a diagram schematically showing an example of a consultation content input screen 40. FIG. 5 is a diagram schematically showing an example of an attorney information display screen 50. FIG. 5 is a diagram schematically showing an example of an attorney information display screen 50. FIG. 5 is a diagram schematically showing an example of an attorney information display screen 50. FIG. 4 is a diagram showing a flowchart of evaluation acquisition processing executed by the personnel matching system 1. FIG. It is a figure which shows the flowchart of the point provision process which the personnel matching system 1 performs. FIG. 10 is a diagram showing a flowchart of consultation processing executed by the personnel matching system 1. FIG. FIG. 4 is a diagram showing a flowchart of a consultation result providing process executed by the personnel matching system 1; It is a figure which shows the flowchart of the learning process which the personnel matching system 1 performs. 4 is a diagram showing a flowchart of reply output processing executed by the personnel matching system 1. FIG. FIG. 10 is a diagram showing a flowchart of processing at the time of request executed by the personnel matching system 1;

EMBODIMENT OF THE INVENTION Hereinafter, with reference to an accompanying drawing, the form (henceforth, embodiment) for implementing this invention is demonstrated in detail. In subsequent figures, the same numbers or symbols are attached to the same elements throughout the description of the embodiments.

[Basic Concept/Basic Configuration]
FIG. 1 is a diagram for explaining the outline of the personnel matching system 1. As shown in FIG. The personnel matching system 1 is a system that matches experts including at least a computer 10 with consulters.

In this embodiment, as an example, the expert is a lawyer, the consulter is a person who has a legal trouble, and the consulter consults a lawyer about the legal trouble. It is not limited to this, but can be applied to other professions such as patent attorneys and artists such as musicians. In addition, the counselor terminal 20 and the attorney terminal 30 perform necessary processing via predetermined applications installed therein.
Further, in this embodiment, the computer 10 is connected to a client terminal 20 owned by a client and a lawyer terminal 30 owned by a lawyer so as to be capable of data communication.

Processing steps when the personnel matching system 1 performs personnel matching will be described with reference to FIG. 1 .

The computer 10 acquires the contents of the consultation from the consulter (step S1).
The consulter terminal 20 receives an input of consultation contents from the consulter. This consultation content means the classification of consultation, for example, divorce / gender consultation, traffic accident, labor problem, fraud damage, consumer damage, debt / debt consolidation, inheritance consultation, debt collection, international / foreigner It is a classification of legal troubles such as problems, Internet problems, crime/criminal cases, medical care, and real estate. The consulter terminal 20 accepts the input of the contents of the consultation by accepting the selection by the input such as the tap operation for the classification displayed on the display unit. In addition to the classification, it is also possible to receive input of, for example, text information indicating the specific content of the consultation. In this embodiment, input of specific contents is not accepted, and only selection input of classification is accepted. In order to maintain the high quality of expert consultation at a low price in a short period of time, it is necessary to reduce the free response time of experts as much as possible and realize clear hourly billing. If specific information about the content of the consultation is collected in advance, the consulter naturally expects that the specialist will conduct a preliminary examination. It doesn't fit. On the other hand, if there is no information about the contents of the consultation, there are too few clues for selecting who to recommend from among the registered attorneys. used as primary information to list qualified lawyers. In the present embodiment, by only inputting the selection of the classification, the consultant does not expect the expert's preliminary examination, and as a result, the consultant's satisfaction can be improved.
The consulter terminal 20 transmits the received consultation content to the computer 10 .
The computer 10 acquires the consultation content from the consulter by receiving the consultation content.

The computer 10 searches for an expert who will answer the acquired consultation content (step S2).
The computer 10 stores in advance the attributes of the expert (e.g., photo, name, office name, location, focus area), consultation method (e.g., telephone, online, face-to-face), fee, and consultation available date and time in association with each other. The database (hereinbelow, the database is also simply referred to as DB) is referenced to search for an expert. The computer 10 refers to the attributes (field of focus) of the experts in the DB, and searches for a specialist whose field of focus is the consultation content acquired this time.

The computer 10 outputs the attribute of the searched expert, consultation method, fee, and consultation available date and time (step S3).
The computer 10 refers to the DB, and transmits to the client terminal 20 the attribute, consultation method, fee, and consultation date and time of the expert retrieved this time. The computer 10 transmits the attribute, consultation method, fee, and consultation date and time of this one expert when the search result is only one expert, and when the search result is a plurality of experts, each expert The attribute, consultation method, fee, and consultation date and time are transmitted respectively.
The client terminal 20 receives the attribute of the expert, consultation method, fee and consultation date and time, and displays them on its own display unit.
The computer 10 displays the attribute, consultation method, fee, and consultation date and time on the client terminal 20, thereby outputting the retrieved expert attribute, consultation method, fee, and available date and time for consultation.

The computer 10 acquires the output request for consultation with a specialist from the consultant (step S4).
The client terminal 20 accepts input of a request for consultation to the displayed expert. This consultation application includes attributes of the expert, consultation method, consultation date and time, consultation time, and the like. The client terminal 20 transmits this consultation application to the computer 10 .
By receiving this consultation application, the computer 10 acquires the outputted consultation application to the expert from the consulter.

Based on this consultation application, the computer 10 executes the processes necessary for the consultation appointment, such as execution of the consultation appointment, settlement of fees, and notification to the consultant and the expert according to the consultation method (step S5).

According to such a personnel matching system 1, it becomes possible for the consultant to consult with the expert more easily, and for the expert to use the vacant time as a paid business time.

[Function configuration]
Based on FIG. 2, the functional configuration of the personnel matching system 1 will be described.
The personnel matching system 1 comprises at least a computer 10, and the computer 10 is capable of data communication with a client terminal 20 owned by a client and a lawyer terminal 30 owned by a lawyer via a network 9 such as a public line network. It's a connected system.
The personnel matching system 1 may include other terminals and devices in addition to the computer 10, client terminal 20, and attorney terminal 30 described above. In this case, the human resource matching system 1 executes the processing described later by any one or a combination of other terminals and devices in addition to the computer 10, the client terminal 20, and the attorney terminal 30 described above.

The computer 10 is a computer or a personal computer having a server function for matching experts and consulters.
The computer 10 may be realized by, for example, one computer, or may be realized by a plurality of computers like a cloud computer. A cloud computer in this specification is a computer that uses any computer in a scalable manner to perform a specific function, or includes multiple functional modules to realize a certain system, and uses the functions in a free combination. It can be anything.

The computer 10 includes a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), etc. as a control unit, and a communication unit to communicate with other terminals, devices, etc. A device for enabling communication, a consultation content acquisition unit 11 that acquires the consultation content from the consulter, an expert output unit 12 that outputs the expert's attribute, consultation method, fee and consultation date and time, communication from the consulter to the expert An application obtaining unit 13 for obtaining a consultation application is provided.
The computer 10 also includes a data storage unit such as a hard disk, a semiconductor memory, a storage medium, or a memory card as a storage unit.
The computer 10 also includes, as a processing unit, various devices that execute various processes, a search unit 14 that searches for experts who will answer the consultation content, and the like.

In the computer 10, by reading a predetermined program by the control unit, in cooperation with the communication unit, an attorney information acquisition module, a consultation content acquisition module, an attorney information output module, an application acquisition module, an evaluation acquisition module, a referral reception module, It implements an extension instruction acquisition module, a provision instruction acquisition module, a provision module, a availability acquisition module, an answer output module, and a request acquisition module.
Further, in the computer 10, the control unit reads a predetermined program, and cooperates with the storage unit to create an attorney DB storage module, an attorney storage module, a point storage module, a consultation result storage module, a learning result storage module, and a batch storage. Realize the module.
Further, in the computer 10, the control unit reads a predetermined program, and cooperates with the processing unit to create an attorney DB creation module, a search module, a consultation reservation execution module, a point granting module, a discount module, a consultation management module, an extension An instruction acquisition determination module, a consultation result identification module, a useability determination module, a learning module, an answer generation module, and an exchange identification module are implemented.

The consulter terminal 20 is a terminal device such as a mobile phone, a smart phone, a tablet terminal, or a personal computer owned by the consulter. As a communication section, a device or the like for enabling communication with the computer 10 is provided, and as an input/output section, various devices or the like for executing input/output of screens, data, or the like are provided.

The attorney's terminal 30 is a terminal device such as a mobile phone, a smart phone, a tablet terminal, or a personal computer owned by the attorney.

Each process executed by the personnel matching system 1 will be described below together with the process executed by each module described above. Also, in the following explanation, the expert is a lawyer, and the consulter is a person who consults on legal troubles. Further, the counselor terminal 20 and the attorney terminal 30 each execute processing and control the terminal by a predetermined application installed therein.
Needless to say, the present invention can be applied even when the expert is other than a lawyer, and the content of the consultation is also used according to the type of the expert.

[Lawyer DB Creation Processing Executed by Computer 10]
Attorney DB creation processing executed by the computer 10 will be described with reference to FIG. This figure is a diagram showing a flow chart of the lawyer DB creation processing executed by the computer 10 .

The attorney information acquisition module acquires the attorney's attribute, consultation method, fee, consultation available date and time, and application deadline as attorney information (step S10).
The attributes are, as described above, the personal information of the attorney, such as the photograph, name, name of the office to which he belongs, location, and fields of focus. Also, as described above, the consultation method is a telephone, online, face-to-face method, or the like, when the counselor consults with the lawyer. The field of focus is registered by the lawyer selecting and inputting the same items as the classification of the consultation described above. In the case of online, there may be restrictions on the tools that can be used depending on the organization / office you belong to, so we will accept registration of about 3 types of "usually used tools" from multiple tools in order of priority. The charge is a charge per predetermined time for each consultation method, such as an amount for 10 minutes, an amount for 20 minutes, and an amount for 30 minutes. The consultable date and time is the date and time when the lawyer can reply to the consultation. As for available dates and times, it is possible to register in advance the days of the week and time frames that can be consulted, and each lawyer can use external schedule management tools such as Google Calendar and Outlook Calendar to manage their own schedules. You can also build it. The application deadline is the deadline for how many hours before the lawyer can accept a consultation reservation. For example, by setting 48 hours, when a consultation appointment is approaching within 48 hours, it will be excluded from the candidates. This improves usability for lawyers who dislike sudden appointments.
The attorney terminal 30 accepts input of attorney information and transmits the accepted attorney information to the computer 10 .
By receiving this attorney information, the attorney information acquisition module acquires the attorney's attribute, consultation method, fee, consultation available date and time, and application deadline as attorney information.
In addition, the attorney information is not limited to the above example, and may include other information. Similarly, the attributes, consultation method, fee, consultation available date and time, and application deadline are not limited to the above-mentioned contents, and may include other contents, or may be part of the above-mentioned contents. Also good.

The attorney DB creating module creates an attorney DB in which the obtained attorney information is linked (step S11).
The lawyer DB creation module creates a lawyer DB by linking attributes, consultation methods, fees, consultation available dates and times, and application deadlines in the acquired attorney information (see FIG. 4). The attorney DB creating module creates an attorney DB for each attorney whose attorney information is acquired.
The lawyer DB creation module may create a lawyer DB for a plurality of lawyers instead of creating a lawyer DB for each lawyer.

[Lawyer DB]
The attorney DB created by the attorney DB creation module will be described with reference to FIG. This figure is a diagram schematically showing an example of the lawyer DB created by the lawyer DB creation module.
The lawyer DB creation module creates a table format lawyer DB by associating the attribute, consultation method, fee, consultation available date and time, and application deadline for each acquired attorney. In the present embodiment, the lawyer DB creation module stores photographs, names, genders, office names, locations/interviewable areas, focus fields, consultation methods/fees (telephone, online, face-to-face), available dates and times for consultation, and application deadlines. Create a lawyer DB by linking each.
Note that the lawyer DB is not limited to the example described above, and may be in another format.

Returning to FIG. 3, the continuation of the lawyer DB creation process will be described.
The attorney DB storage module stores the created attorney DB (step S12).

The contents of the lawyer DB can be changed, modified, or added as appropriate. For example, when the computer 10 acquires a change, correction, addition, or the like of attorney information by executing the attorney DB creation process again, the computer 10 can generate the registered contents of the lawyer DB based on the content of the change, correction, addition, or the like. can be changed, modified or added. In particular, it is preferable that the computer 10 re-acquire the attorney's information to change, correct, or add the date and time of the consultation.

The above is the attorney DB creation processing.
The computer 10 uses the attorney DB created and stored by the attorney DB creation process to execute the processes described later.

[Attorney Information Output Processing Executed by Computer 10]
Attorney information output processing executed by the computer 10 will be described with reference to FIG. This figure is a diagram showing a flowchart of attorney information output processing executed by the computer 10 . Attorney information output processing is processing performed after the above-described attorney DB creation processing, and includes the above-described consultation content acquisition processing (step S1), expert search processing (step S2), expert attributes, consultation method, These are the details of the process of outputting the charge and consultation available date and time (step S3) and the process of obtaining the consultation application (step S4).

The consultation content acquisition module acquires the consultation content from the consulter (step S20).
As mentioned above, the content of the consultation means the classification of the consultation, such as divorce/men and women consultation, traffic accidents, labor issues, fraud damage, consumer damage, debt/debt consolidation, inheritance consultation, debt collection, international/foreign affairs, etc. It is a classification of legal troubles such as human problems, Internet problems, crime/criminal cases, medical care, and real estate.
The client terminal 20 displays a consultation content input screen 40 on its own display unit or the like (see FIG. 6), and accepts an input such as a tap operation on an icon 41 for each category of consultation content. Counselor terminal 20 sends the content of the consultation accepted as input and the identifier of the counselor (e.g., ID, name, telephone number, serial number of terminal, MAC address of terminal, IP address of terminal) to computer 10. Send.
The consultation content acquisition module acquires the consultation content from the consulter by receiving the consultation content and the consulter's identifier.

The search module searches for a lawyer who answers the acquired consultation content (step S21).
The search module refers to the lawyer DB created by the lawyer DB creating process described above, and searches for a lawyer who answers the acquired consultation content.
The search module refers to the lawyer DB and searches for a lawyer whose focus field is the content of the consultation acquired this time. For example, if the content of the consultation acquired this time is divorce/gender issues, the search module refers to the lawyer DB and searches for lawyers who focus on this divorce/gender issues.
The search module may search for only one lawyer, or may search for multiple lawyers. Furthermore, when the search module finds a plurality of lawyers as search results, all lawyers may be taken as search results, or some of them may be selected based on predetermined conditions (e.g., low fees, track records). It can also be used as a search result. The lawyer's schedule information is a DB related to the schedule entered by the lawyer. It may be created independently, or data may be linked from an external schedule management tool such as Google Calendar or Outlook Calendar used by each lawyer to manage his/her own schedule. It is also acceptable to obtain the If the consulter specifies the desired date and time, the latest schedule information of each attorney is re-obtained immediately before the search module finalizes the search results, and there is a time slot that is available for the consulter's desired date and time. If not, remove it from search results.
Note that the search module may search for a lawyer by taking into consideration the counselor's personal information (for example, address, whereabouts, age, and gender) previously acquired from the counselor. For example, the search module may search for a lawyer by adding conditions based on the consulter's personal information, such as whether the attorney's location is within a predetermined distance from the consulter's address and the same sex as the consulter, in addition to the content of the consultation.

The lawyer information output module outputs the searched lawyer's attribute, consultation method, fee, and available date and time for consultation (step S22).
The lawyer information output module transmits to the client terminal 20 the attributes of the searched lawyer, consultation method, fee, and available date and time for consultation as attorney information.
The client terminal 20 receives this attorney information and displays the attorney information display screen 50 on its own display unit (see FIGS. 7-9). The lawyer information display screen 50 shows a state in which the lawyer's attribute, consultation method, fee, and available date and time for consultation are displayed on one screen. For example, swiping vertically may display more detailed information about the attorney. The client terminal 20 accepts an input such as a horizontal swipe operation from the client on the lawyer information display screen 50 shown in FIG. 50. For example, by tapping or double-tapping, a lawyer of interest may be temporarily flagged from a plurality of candidate lawyers.
The lawyer information output module causes the client terminal 20 to display the lawyer information display screen 50, thereby outputting the searched lawyer's attribute, consultation method, fee, and consultation available date and time as one screen.
By viewing the attorney information display screen 50, the consulter can collectively grasp the information necessary for consulting with the attorney.

The application acquisition module acquires the outputted application for consultation with a lawyer from the client (step S23).
The client's terminal 20 receives an input of an application for consultation with a lawyer from the client. This request for consultation is made, for example, by receiving an input to the lawyer information display screen 50 described above. The client terminal 20 accepts the input of the consultation application by accepting the input of the consultation method, fee, and available date and time for consultation. In other words, the client terminal 20 accepts, as a consultation application, an input to consult with the attorney currently displayed on the attorney information display screen 50 as a consultation partner with the consultation method, amount, and date and time that have been received. become.
The client terminal 20 transmits the received consultation application to the computer 10 .
By receiving this consultation application, the application acquisition module acquires the outputted consultation application to the lawyer from the client.

The consultation appointment execution module executes processing necessary for the consultation appointment based on the acquired consultation application (step S24).
Based on the obtained consultation application, the consultation appointment execution module executes the consultation appointment with the attorney who made the consultation application, settles the fee, and notifies the consultant and the attorney according to the consultation method, consultation date and time, etc. Execute the processing required for consultation appointment. In addition, a new consultation appointment is entered into the lawyer's schedule management tool, and when a consultation is reserved via the Web, the lawyer selects the Web conference system in advance and sets the appointment date and time. The processing required for this consultation is not limited to these, and other processing may be performed, or only a part of these processing may be performed. Further, the processing relating to the execution of the consultation reservation, the payment of the fee, and the notification to the consultant and the lawyer may be general processing, and detailed description thereof will be omitted. At this stage, it is possible to confirm receipt of the reservation by the individual lawyer, but in this embodiment, confirmation of the reservation by the individual lawyer is not performed at this stage. A predetermined amount of time is required to confirm the reservation of the person himself/herself. In the present embodiment, it is possible to determine the consultation's appointment on the spot without requiring time for the lawyer himself to confirm the appointment. The consultation reservation executing module notifies the lawyer terminal 30 of the reservation, registers the date and time of the reserved consultation in the schedule management tool registered by the lawyer, and accepts input of the lawyer's approval of the reservation. The consultation appointment executing module may present another candidate to the client terminal 20 if the lawyer does not accept the appointment by a predetermined time, such as 72 hours, before the scheduled consultation date and time.

The lawyer storage module associates and stores the counselor and the lawyer to whom the consultation has been requested (step S25).
The attorney storage module associates and stores the identifier of the counselor and the identifier of the attorney, and also associates and stores the consultation method, consultation time, consultation start date and time, and the like.

The above is the lawyer information output processing.
In the lawyer information output process, the computer 10 acquires the consultation content again from the client terminal 20 that has acquired the consultation application this time, and when executing the process of step S21 described above, the computer 10 performs the process of step S25 described above. A lawyer who answers the content of the consultation may be searched from among the lawyers associated with the consulter. That is, after searching for a lawyer by the process of step S21, the computer 10 may select the lawyer linked to the counselor who acquired the consultation content again as the search result among the searched lawyers. It is also possible to omit the search for lawyers in the process of S21, and use the lawyers linked to the counselor who has acquired the consultation content again as the search result.

[Evaluation Acquisition Processing Executed by Computer 10]
Evaluation acquisition processing executed by the computer 10 will be described with reference to FIG. This figure is a diagram showing a flowchart of the evaluation acquisition process executed by the computer 10 . The evaluation acquisition process is a process performed after the above-described attorney information output process, and more specifically, a process performed after the consultant consults.

The evaluation acquisition module acquires the evaluation of the consultation partner from the consulter or from both the consulter and the lawyer (step S30).
The consulter terminal 20 accepts an input of an evaluation of the lawyer with whom the consulter consulted about legal troubles. Ratings are, for example, numbers, symbols or text.
Counselor terminal 20 transmits to computer 10 the evaluation of the attorney whose input has been received and the attorney's identifier.
A reputation acquisition module obtains the attorney's reputation from the client by receiving the attorney's reputation and the attorney's identifier.
Attorney terminal 30 accepts an input of an evaluation for a counselor who has consulted on a legal trouble. Ratings are, for example, numbers, symbols or text.
The attorney's terminal 30 transmits to the computer 10 the evaluation of the consultant whose input has been received and the identifier of the consultant.
The evaluation acquisition module acquires the evaluation of the consultant from the lawyer by receiving the evaluation of the consultant and the identifier of the consultant.

The lawyer DB storage module stores the acquired evaluation of the lawyer (step S31).
The lawyer DB storage module refers to the lawyer DB, associates the obtained evaluation with the lawyer that matches the obtained identifier of the lawyer, and stores it in the lawyer DB. At this time, if the evaluation is already linked to the lawyer and stored, some processing such as calculation of the average value of the evaluation is performed between the evaluation obtained this time and the evaluation already stored, and then stored in the lawyer DB. A configuration in which the data is linked and stored is also possible. For example, if the evaluation is a number, it is possible to calculate the average value of the obtained evaluation and the already stored evaluation, and store the calculated average value of the evaluation in the lawyer DB by linking it to the lawyer. is.

In the process of outputting the lawyer information, the computer 10 may search for a lawyer in the process of step S21 by adding the lawyer's evaluation stored in the process of step S31. For example, in addition to the consultation content, the search module ranks the lawyers with the highest evaluation linked to the lawyer DB, the lawyers with evaluations above a predetermined value, the evaluations, etc., and ranks a predetermined number of lawyers from the top. It is also possible to configure such as searching for each.

The above is the evaluation acquisition processing.

[Point giving process executed by computer 10]
The point awarding process executed by the computer 10 will be described with reference to FIG. 11 . This figure is a diagram showing a flow chart of the point awarding process executed by the computer 10 . The point giving process is a process that is performed before or after execution of the above-described process or a process that will be described later.

The referral reception module receives referrals of other counselors from the consulter (step S40).
The referral reception module receives referrals to other counselors using an referral code or the like issued in advance for each consulter. Each referral code is associated with a counselor's identifier or the like.
The client terminal 20 transmits the issued referral code to the client terminal 20 possessed by another client. The client terminal 20 receives this referral code and displays it on its own display unit. Counselor terminal 20 accepts an input for this referral code. The client terminal 20 transmits the accepted referral code to the computer 10 .
The referral reception module receives this referral code, identifies the counselor associated with the referral code, and receives referrals to other counselors from the consulter.
It should be noted that the method of accepting an introduction of another consultant from a consultant is not limited to the above example, and other methods may be used.

The point granting module grants points to the counselor who introduced another counselor (step S41).
The point giving module gives points to a counselor who has introduced other counselors according to the number of people and the number of times they have been introduced.

The point storage module stores the points given to the consulter (step S42).
The point storage module associates and stores the points given to the consulter and the consulter's identifier. At this time, if there are points given to this consulter in the past, the points given this time are added to the points given in the past, and the added result is stored in association with the identifier of the consulter. As a result, the point storage module stores the points given to the consulter.

The points stored in the point storage module are used for discounting the fee when the client applies for consultation with a lawyer. Specifically, the discount module, in the above-described attorney output process, when obtaining a consultation application from a counselor in the above-described process of step S23, discounts the fee for this consultation application by the amount corresponding to the points. The discount module may discount a preset amount of points from the charge, may discount a point amount specified by the client from the charge, or may discount all the points owned by the client. may be discounted from the price. Then, in the process of step S24 described above, the consultation appointment executing module executes settlement of the discounted amount.

The above is the point giving process.

[Consultation Processing Executed by Computer 10]
Based on FIG. 12, the consultation process executed by the computer 10 will be described. This figure is a diagram showing a flow chart of the consultation process executed by the computer 10 . The processing at the time of consultation is processing performed after the attorney information output processing described above.

The consultation management module determines whether the current date and time has reached the consultation date and time (step S50).
The consultation management module determines whether or not the current date and time has reached the consultation date and time stored in step S25.
It should be noted that the consultation management module can also be configured to determine whether or not a predetermined time (for example, 1 minute, 3 minutes, or 5 minutes before) has come before the consultation date and time. At this time, the computer 10 may be configured to output a notification or the like to the effect that the consultation date and time is coming soon to the client terminal 20 or the attorney terminal 30 .
If the consultation management module determines that the current date and time have not reached the consultation date and time (step S50 NO), this process is repeated until the consultation date and time come.

On the other hand, if the consultation management module determines that the current date and time has reached the consultation date and time (step S50 YES), the consultation management module starts consultation (step S51).
At the start of the consultation, the consultation management module displays on the attorney terminal 30, for example, "Are you attending at the start time? Yes/No" to confirm the attendance of the attorney, and accepts the attendance confirmation input from the attorney. prompt. If the lawyer's attendance is confirmed, regardless of whether or not the client actually attended, it is assumed that the client actually started consulting with the lawyer, and the remaining consultation time starts counting. Furthermore, the consultation management module may output to the client terminal 20 and the attorney terminal 30 a notification that the consultation has started, may output the content according to the consultation method, or may output a predetermined The remaining time may be output at timing.

The extension instruction acquisition determination module determines whether or not an extension instruction has been acquired (step S52).
The extension instruction is acquired from the client terminal 20 by the extension instruction acquisition module. The client's terminal 20 accepts an input of a desire to extend the consultation time of the current consultation, if the client so desires. When the extension instruction acquisition module receives an extension request input, it outputs an extension request flag to the extension instruction acquisition determination module. The extension order acquisition determination module checks the schedule of the attorney being consulted. If the next schedule is entered in the attorney's schedule, the client terminal 20 displays "There is a next schedule" and rejects the request for extension. If the lawyer's schedule does not include the next schedule for the predetermined time, the extension instruction acquisition determination module displays on the lawyer's terminal 30 that the client is requesting an extension, and accepts the extension by answering "Yes."No" selection input is accepted. If the lawyer answers "no" to accept the extension, the client terminal 20 displays "I have the next schedule" and rejects the request for extension in the same manner as above. If the attorney selects "yes", it transmits to the extension instruction acquisition module that extension is possible. The extension instruction acquisition module may receive input from the client terminal 20 to extend the consultation time by the amount of time specified by the client, or may receive an extension of the consultation time by a predetermined time (for example, 10 minutes, 20 minutes, or 30 minutes). ) minutes and extension of consultation time may be received. The client terminal 20 transmits the received extension input to the computer 10 as an extension instruction. Also, at the start of the consultation, the lawyer's latest schedule is checked, and if the next schedule is entered, the request for extension request input is not displayed, and "the lawyer has the next schedule" is displayed. A display urging the user to finish the consultation within the time may be displayed.
The extension instruction acquisition determination module determines whether or not the extension instruction acquisition module has received the extension instruction.

If the extension instruction acquisition determination module determines that the extension instruction has been acquired (step S52 YES), the consultation management module extends the consultation time (step S53).
The consultation management module extends the consultation time by adding the consultation time acquired this time to the remaining time after starting counting. At the same time, when the computer 10 acquires an extension of the consultation time, the computer 10 settles the fee required for the extension, outputs a notice that the consultation time has been extended, and the like.
After extending the consultation time, the computer 10 executes the process of step S52 described above again.

On the other hand, if the extension instruction acquisition determination module determines that the extension instruction has not been acquired (step S52 NO), the consultation management module determines whether or not the consultation time has ended (step S54).
The consultation management module determines whether the consultation time has ended by determining whether the remaining consultation time being counted has reached zero.
If the consultation management module determines that the consultation time has not ended (step S54 NO), that is, if the remaining consultation time that is being counted is not zero, the computer 10 repeats the process of step S52 described above. Execute.

On the other hand, if the consultation management module determines that the consultation time has ended (step S54 YES), that is, if the remaining consultation time being counted is zero, the consultation ends (step S55).
Upon completion of the consultation, the consultation management module outputs a notice to the client terminal 20 and the attorney terminal 30 that the consultation time has ended. The consultation management module sends this notification to the client terminal 20 and the attorney terminal 30 to this notification.
The client terminal 20 and the attorney terminal 30 receive this notification and display it on their own displays.
The consultation management module displays this notification on the client terminal 20 and the attorney terminal 30, thereby outputting to the client terminal 20 and the attorney terminal 30 a notification that the consultation time has ended. Further, the consultation management module may display the remaining time on the client terminal and the attorney terminal 30, for example, three minutes and one minute before the end of the consultation time, and display the remaining seconds during the last 10 seconds. .

The consultation result storage module stores the content of the consultation by the counselor and the reply from the lawyer as the consultation result (step S56).
The content of the consultation in step S56 includes the classification of the content of the consultation, texts such as e-mails and chats sent by the consultant, video and voice of the consultant at the time of consultation, and the like. In addition, the reply is text such as e-mail or chat sent by the lawyer, video and voice of the lawyer at the time of consultation, and the like.
The computer 10 acquires the text, video and voice from the client terminal 20 and the lawyer terminal 30 at the end of the consultation.
The consultation result storage module associates the contents of the consultation by the consultant with the answer from the lawyer and stores them as an answer result. Further, the consultation result storage module stores the date and time of the consultation, the identifier of the consultant, the identifier of the lawyer, etc., in association with the answer result.
It should be noted that the consultation result storage module may be configured so as not to store the answer results and to terminate the process when the consultation ends, if permission to store the answer results has not been obtained from the counselor or lawyer. At this point, the lawyer terminal 30 may be provided with a display prompting an input regarding the consultant's evaluation. For example, if the lawyer thinks that the client cannot be a good customer because the client sticks to an extremely illogical theory, the evaluation result will be low. , may be deleted from the search results and may not be matched with the same attorney.

The above is the processing at the time of consultation.
The computer 10 can also be configured to provide the counselor or attorney with the stored consultation result by the consultation process, based on a request from the consultant or attorney.

[Consultation Result Providing Processing Executed by Computer 10]
Based on FIG. 13, the consultation result providing process executed by the computer 10 will be described. This figure is a diagram showing a flowchart of the consultation result providing process executed by the computer 10 . The consultation result providing process is a process performed after the above-described consultation process.

The provision instruction acquisition module acquires an instruction to provide consultation results (step S60).
This provision instruction instructs to provide the counselor with the text, video, voice, etc. of the counselor's consultation result stored in the process of step S56 described above.
The consulter terminal 20 receives an input of an instruction to provide consultation results from the consulter. The consulter terminal 20 transmits the provision instruction and the consulter's identifier to the computer 10 .
The provision instruction acquisition module acquires the consultation result provision instruction by receiving the provision instruction and the consulter's identifier.

The consultation result identification module identifies consultation results to be provided (step S61).
The consultation result identification module identifies, based on the obtained identifier of the consultant, the consultation result linked to the identifier of the consultant among the stored consultation results. Here, if the consultation result identification module obtains information that can identify the consultation result, such as the identifier of the lawyer who consulted and the date and time of the consultation, in addition to the consultation result, Identify consultation results according to the information provided.

The providing module provides the consultation result (step S62).
The provision module transmits the identified consultation result to the client terminal 20 .
The consulter terminal 20 receives this consultation result, displays it on its own display unit, outputs voice, and the like.
The providing module provides the consulter with the consultation result by causing the consulter terminal 20 to display or output the consultation result. Next, a screen is displayed on the client's terminal 20 to prompt the client to input the lawyer's evaluation of the current consultation (preferably a simple rating of 5 grades or the like).

The above is the consultation result providing process.
In addition, in the consultation result providing process described above, the provision instruction is obtained from the consulter, but the provision instruction may be obtained from the lawyer. In this case, based on this lawyer's identifier, the consultation result may be specified and provided to this attorney.

[Learning processing executed by computer 10]
Learning processing executed by the computer 10 will be described based on FIG. 14 . This figure is a diagram showing a flowchart of the learning process executed by the computer 10 . The learning process is a process that is performed after the consultation process described above.

The availability acquisition module acquires availability of the consultation result from the consulter (step S70).
Whether or not the consultation result is available means whether or not the content of the consultation and its answer are made available to other consulters. When using this consultation content and its answers to other consulters, regarding the content that corresponds to the consulter's personal information, the relevant part will be deleted or the relevant part will not be distinguishable by other consulters, such as mosaic. Processing such as making it disappear is performed.
The client terminal 20 accepts an input as to whether or not the consultation result can be used. The consulter terminal 20 transmits to the computer 10 the availability and the consulter's identifier.
The usability acquisition module acquires the usability of the consultation result from the consulter by acquiring the usability and the consulter's identifier.

The availability determination module determines whether or not the consultation result is available (step S71).
If the availability of the obtained consultation result is "usability", that is, if the consultation result is not available (step S71 NO), the usability determination module ends this process.

On the other hand, if the obtained consultation result is available, that is, if the consultation result can be used (step S71 YES), the learning module learns the consultation result (step S72).
The learning module learns the consultation result by using the consultation result linked to the identifier of the counselor who acquired the permission of use among the consultation results stored in the process of step S56 described above. Learning methods include supervised learning, unsupervised learning, machine learning such as reinforcement learning, convolutional neural networks, recurrent neural networks, and deep learning using long/short-term memory.
The learning module learns, for example, the stored consultation contents and their answers as supervised data, and learns the correlation between them. If the content of the consultation or the answer is text, the learning module recognizes the text by performing text recognition or the like, and learns using the recognized text. Further, when the content of the consultation or the answer is voice, the learning module recognizes the voice by recognizing the voice, and uses the recognized voice for learning.

The learning result storage module stores the learning result (step S73).

The above is the learning process.
The computer 10 learns the consultation result by executing this learning process each time the consultation process is performed.

[Answer output process executed by computer 10]
Based on FIG. 15, the answer output process executed by the computer 10 will be described. This figure is a diagram showing a flow chart of the answer output process executed by the computer 10 .
The answer output process is a process performed after the learning process described above, and is a process using the learning result. Further, the reply output process is a process performed in conjunction with the attorney information output process described above.

The consultation content acquisition module acquires the consultation content from the consulter (step S80).
The consultation content acquired by this process includes, in addition to the consultation content in the process of step S20 described above, a text or the like indicating the specific content of the consultation content.
Counselor terminal 20 accepts an input of a text or the like indicating specific contents of consultation in addition to the contents of consultation in the process of step S20 described above. The consulter terminal 20 transmits to the computer 10 the content of the consultation received and the identifier of the consulter.
The consultation content acquisition module acquires the consultation content from the consulter by receiving the consultation content and the consulter's identifier.

The answer generation module generates an answer based on the learning result of the consultation result (step S81).
The answer generation module generates an answer to the consultation content based on the acquired consultation content and the learning result of the learning process described above. The answer generation module generates an answer based on the consultation content classification and text in the obtained consultation content and the learning result.

The answer output module outputs the generated answer (step S82).
The reply output module also outputs the generated reply when the computer 10 outputs the lawyer information in the process of step S22 described above.
The reply output module transmits the generated reply to the client terminal 20 .
The client terminal 20 receives this reply and displays it on its own display unit.
The reply output module outputs the generated reply by causing the client terminal 20 to display the generated reply.

The above is the reply output processing.

[Request-time processing executed by computer 10]
Based on FIG. 16, the request processing executed by the computer 10 will be described. This figure is a diagram showing a flow chart of the request processing executed by the computer 10 .
The processing at the time of request is processing performed at least after the processing at the time of consultation described above.

The request acquisition module acquires a formal request from the client to the lawyer who applied for the consultation (step S90).
The client's terminal 20 accepts input necessary for making a formal request to the lawyer, and transmits to the computer 10 the received content, the lawyer's identifier, and the client's identifier.
By receiving this content and the consultant's identifier, the request acquisition module obtains a formal request from the consultant to the lawyer who applied for the consultation.

The interaction identification module identifies interactions between the counselor and the attorney (step S91).
Based on the acquired identifier of the counselor and the identifier of the attorney, the interaction identification module selects the consultation result linked to the identifier of the counselor and the identifier of the attorney from among the consultation results stored by the process of step S56 described above. Identify. In addition, if the interaction identification module stores the content associated with the counselor identifier and the lawyer identifier in addition to the consultation result, the communication identification module also identifies this content.

The collective storage module collectively stores the identified exchanges (step S92).
The collective storage module distributes and stores the identified exchanges in a plurality of storage units that constitute a distributed management ledger.
One example of a distributed ledger is blockchain technology. In this embodiment, all of the identified exchanges are associated and distributed and stored in each storage unit.
In this embodiment, as an example of a distributed management ledger, a form using a blockchain has been described, but the distributed management ledger in the present invention is not limited to a blockchain.
Also, the collective storage module can be configured to collectively store exchanges by a method other than the distributed management ledger.

The above is the processing at the time of request.
The computer 10 can also be configured to provide this collectively stored exchange in response to a request from a counselor or a lawyer. In this case, in response to a request from the client terminal 20 or the attorney terminal 30, the computer 10 transmits the collectively stored exchanges to the client terminal 20 or the attorney terminal 30, thereby allowing the collectively stored exchanges to be transmitted. will be provided upon request by the counselor or attorney.

Each of the processes described above is described as separate processes, but the computer 10 can also be configured to execute a combination of some or all of the processes described above. Further, the computer 10 can be configured to execute the processing even at timings other than the timings described in each processing.

The means and functions described above are realized by a computer (including a CPU, an information processing device, and various terminals) reading and executing a predetermined program. The program may be provided, for example, from a computer via a network (SaaS: software as a service) or provided as a cloud service. Also, the program may be provided in a form recorded on a computer-readable recording medium. In this case, the computer reads the program from the recording medium, transfers it to an internal recording device or an external recording device, records it, and executes it. Alternatively, the program may be recorded in advance in a recording device (recording medium) and provided from the recording device to the computer via a communication line.

Although the embodiments of the present invention have been described above, the present invention is not limited to these embodiments described above. Moreover, the effects described in the embodiments of the present invention are merely enumerations of the most suitable effects resulting from the present invention, and the effects of the present invention are limited to those described in the embodiments of the present invention. isn't it.

(1) A human resource matching system that matches experts (for example, lawyers) and consulters,
a consultation content acquisition unit (for example, a consultation content acquisition unit 11, a consultation content acquisition module) that acquires the consultation content from the consulter;
a search unit (for example, a search unit 14, a search module) that searches for the expert who answers the acquired consultation content;
Expert output unit ( For example, expert output unit 12, lawyer information output module),
an application acquisition unit (for example, an application acquisition unit 13, an application acquisition module) that acquires the output consultation application to the expert from the consultant;
human resource matching system.

According to the invention of (1), it is possible for a consulter to consult with an expert more casually, and for the expert to use the vacant time as business hours for a fee. In addition, since the consultation is not a free consultation but a short consultation with strictly controlled time, the consultation can be maintained at a high quality.

(2) an evaluation acquisition unit (for example, an evaluation acquisition module) that acquires an evaluation of the expert from the consulter;
further comprising
The search unit searches for the expert in consideration of the evaluation,
(1) The human resources matching system as described in.

According to the invention of (2), it becomes easy to select an expert with a higher evaluation.

(3) a referral receiving unit (for example, a referral receiving module) that receives referrals from the consulter to other consulters;
a point granting unit (for example, a point granting module) that grants predetermined points to the counselor who introduced the other counselor;
a discount unit (for example, a discount module) that divides and subtracts the points that have been given for the charge when the consulter consults;
The personnel matching system according to (1), further comprising:

According to the invention of (3), it becomes easy to generate an incentive to introduce the client.

(4) an extension instruction acquisition unit (for example, an extension instruction acquisition module) that acquires an extension instruction for the consultation time during the consultation;
a consultation time extension unit (e.g., consultation management module) that extends the consultation time based on the extension instruction;
The personnel matching system according to (1), further comprising:

According to the invention of (4), it becomes easy for the consulter to extend the consultation time with a simple operation.

(5) an expert storage unit (for example, a lawyer storage module) that associates and stores the consulter and the expert to whom the consultation is requested;
further comprising
From the next time onward, when the consultation content is acquired from the consultant, the search unit searches for the expert associated with the consultant.
(1) The human resources matching system as described in.

According to the invention of (5), it becomes easy to consult with the same expert from the next time onwards.

(6) a consultation result storage unit (e.g., consultation result storage module) that stores the contents of the consultation by the consultant and the answers from the expert as consultation results;
The personnel matching system according to (1), further comprising:

According to the invention of (6), it becomes easy for the consulter and the expert to refer to the consultation result at a later date.

(7) a usability obtaining unit (e.g., a usability obtaining module) that obtains the usability of the consultation result;
a learning unit (e.g., a learning module) that learns a correlation between the content of the consultation and the result of the consultation when the availability of the consultation result is acquired;
an answer generation unit (e.g., an answer generation module) that generates an answer to the acquired new consultation content based on the learning result of the consultation result when the new consultation content is acquired from the consulter;
an answer output unit (for example, an answer output module) that outputs the generated answer;
The personnel matching system according to (6), further comprising:

According to the invention of (7), it becomes easy to provide the consulter with an answer to a simple consultation content.

(8) a providing unit (for example, a providing module) that provides the stored consultation result to the consulter and the expert;
The personnel matching system according to (6), further comprising:

According to the invention of (8), it becomes easy to provide consultation results when the consulter or expert needs them.

(9) a request acquisition unit (for example, a request acquisition module) that acquires a formal request from the consultant to the expert who applied for consultation;
a collective storage unit (for example, a collective storage module) that collectively stores the results of the consultation between the consultant and the expert including before obtaining the formal request;
The personnel matching system according to (6), further comprising:

According to the invention of (9), it becomes easy to refer to past exchanges when making a formal request.

(10) A human resource matching method executed by a computer for matching experts and consulters,
a step of obtaining consultation content from the consulter (for example, step S20);
a step of searching for the expert who answers the acquired consultation content (for example, step S21);
a step of outputting the searched expert's attribute, consultation method, fee, and consultation available date and time (for example, step S22);
a step of acquiring the output consultation application to the expert from the consulter (for example, step S23);
A talent matching method comprising:

(11) A computer that matches experts and consulters,
a step of obtaining consultation content from the consulter (for example, step S20);
a step of searching for the expert who answers the acquired consultation content (for example, step S21);
a step of outputting the attribute of the searched expert, consultation method, fee, and consultation available date and time (for example, step S22);
a step of acquiring the output consultation application to the expert from the consulter (for example, step S23);
A computer readable program for executing

1 human resource matching system 10 computer 11 consultation content acquisition unit 12 expert output unit 13 application acquisition unit 14 search unit 20 client terminal 30 attorney terminal 40 consultation content input screen 41 icon 50 attorney information display screen

Claims (11)

A human resources matching system that matches experts and consulters,
a consultation content acquiring unit for acquiring consultation content from the consulter;
a search unit that searches for the expert who answers the acquired consultation content;
an expert output unit that outputs the attribute of the searched expert, consultation method, fee, and consultation available date and time;
an application acquisition unit that acquires the output consultation application to the expert from the consulter;
human resource matching system. an evaluation acquisition unit that acquires an evaluation of the expert from the consulter;
further comprising
The search unit searches for the expert in consideration of the evaluation,
The personnel matching system according to claim 1. a referral reception unit that receives referrals from the consulter to other consulters;
a point granting unit that grants predetermined points to the consulter who introduced the other consulter;
a discount unit that divides and subtracts the points that have been given for the fee when the consulter consults;
The talent matching system according to claim 1, further comprising: an extension instruction acquisition unit that acquires an extension instruction for the consultation time during the consultation;
a consultation time extension unit that extends the consultation time based on the extension instruction;
The talent matching system according to claim 1, further comprising: an expert storage unit that associates and stores the consulter and the expert to whom the consultation has been requested;
further comprising
From the next time onward, when the consultation content is acquired from the consultant, the search unit searches for the expert associated with the consultant.
The personnel matching system according to claim 1. a consultation result storage unit that stores consultation contents of the consultant and answers from the expert as consultation results;
The talent matching system according to claim 1, further comprising: a availability acquisition unit for acquiring availability of the consultation result;
a learning unit that learns a correlation between the content of the consultation and the result of the consultation when the availability of the consultation result is obtained;
an answer generation unit that generates an answer to the acquired new consultation content based on the learning result of the consultation result when the new consultation content is acquired from the consulter;
an answer output unit that outputs the generated answer;
The personnel matching system according to claim 6, further comprising: a providing unit that provides the stored consultation result to the consulter and the expert;
The personnel matching system according to claim 6, further comprising: a request acquisition unit that acquires a formal request from the consulter to the expert who applied for consultation;
a collective storage unit that collectively stores the results of the consultation between the consultant and the expert including before obtaining the formal request;
The personnel matching system according to claim 6, further comprising: A human resource matching method executed by a computer for matching an expert and a consulter,
a step of obtaining consultation content from the consulter;
a step of searching for the expert who answers the acquired consultation content;
a step of outputting the attribute, consultation method, fee, and consultation available date and time of the searched expert;
a step of acquiring the output consultation application to the expert from the consulter;
A talent matching method comprising: A computer that matches experts and consulters,
a step of obtaining consultation content from the consulter;
a step of searching for the expert who answers the acquired consultation content;
a step of outputting the attribute, consultation method, fee, and consultation available date and time of the searched expert;
a step of obtaining the output consultation application to the expert from the consulter;
A computer readable program for executing

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