JP2017027455A - Information processing apparatus and information processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing apparatus presenting to a worker of a cloud sourcing system operations associated with skill which does not reach a level set as a goal of the worker yet.SOLUTION: First acquisition means of an information processing apparatus acquires information associated with a first level representing a degree of current skill of a worker registered in a cloud sourcing system, and second acquisition means acquires information associated with a second level representing a degree of skill as a goal of a worker. Control means performs control so as to display an operation associated with skill such that a first level does not reach a second level among a plurality of operations invited by the cloud sourcing system preferentially to operations associated with skill such that a first level exceeds a second level, operations displayed under the control being operations such that a first level exceeds a third level showing a level of skill needed for implementation thereof.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information processing apparatus and an information processing program.

  In Patent Document 1, it is an object to distribute tasks from a plurality of types of services without delaying the work of tasks from a specific type of service, and the task distribution server provides a user for each of the plurality of types of services. The estimated value of the user's interest and the uncertainty of the estimated value are calculated from the execution history of the task from the service, and the task from the service is allocated to each of the multiple types of services to the logged-in user. The priority of the task from the service is calculated based on the estimated value of interest and the uncertainty of the estimated value, taking into account the probability that the task is not being executed by other users. Presenting a task to a user is disclosed.

JP 2014-120031 A

  An object of the present invention is to provide an information processing apparatus and an information processing program that present to a worker of a crowdsourcing system a work related to a skill that has not reached the level set as the target of the worker.

  The gist of the present invention for achieving the object lies in the inventions of the following items.

  The invention according to claim 1 represents a first acquisition means for acquiring information on a first level representing a current skill level of a worker registered in a crowdsourcing system, and represents a skill level targeted by the worker A second acquisition means for acquiring information related to the second level, and a job related to a skill whose first level is less than the second level among a plurality of jobs recruited in the crowdsourcing system; Control means for controlling to display with priority over work related to skills exceeding the second level, and the work displayed by the control indicates the level of skill required for the execution. The information processing apparatus is a task whose first level exceeds the third level shown.

  The invention according to claim 2 is the information processing apparatus according to claim 1, wherein the third level is set according to a delivery date or a scale of the recruited business.

  The invention of claim 3 further comprises setting means for setting the second level based on the third level information about the recruited work and the number of workers satisfying the third level. The information processing apparatus according to 1 or 2.

  The invention of claim 4 further comprises calculation means for comparing the first level with the third level and calculating the number of tasks that must be experienced in order to go up to the next level. The information processing apparatus according to the item.

  According to a fifth aspect of the present invention, when there are a plurality of tasks related to a skill whose first level is less than the second level, the control means controls to display a task having a higher third level preferentially than a task having a lower level. The information processing apparatus according to any one of claims 1 to 4.

  The invention of claim 6 is a first acquisition means for acquiring information relating to a first level representing a current skill level of a worker registered in a crowdsourcing system, and a skill targeted for the worker. A second acquisition means for acquiring information relating to a second level representing a degree; and a work related to a skill whose first level is less than the second level among a plurality of work recruited in the crowdsourcing system, The first level functions as a control means for controlling the display so that it is given priority over the work related to the skill that exceeds the second level, and the work displayed by the control is a skill level required for the execution. This is an information processing program that is a task that exceeds the third level.

  According to the information processing apparatus of the first aspect, it is possible to present to the worker information regarding work related to the skill required of the registered worker.

  According to the information processing apparatus of the second aspect, the third level can be set according to the delivery date or scale of the recruited business.

  According to the information processing apparatus of the third aspect, the second level can be set by using the third level information about the recruited work and the number of workers satisfying the third level.

  According to the information processing apparatus of the fourth aspect, it is possible to calculate the number of tasks that the worker must experience in order to move to the next level.

  According to the information processing apparatus of the fifth aspect, it is possible to control display when there are a plurality of tasks related to skills whose first level is less than the second level.

  According to the information processing program of the sixth aspect, it is possible to present the worker with information on the business related to the skill required for the registered worker.

It is a conceptual module block diagram about the structural example of 1st Embodiment. It is explanatory drawing which shows the system configuration example using this Embodiment. It is explanatory drawing which shows the example of a data structure of a personal information table. It is explanatory drawing which shows the example of a data structure of a work information table. It is explanatory drawing which shows the example of a data structure of an education information table. It is a flowchart which shows the process example by 1st Embodiment. It is explanatory drawing which shows the process example by 1st Embodiment. It is explanatory drawing which shows the example of a data structure of a personal information table. It is explanatory drawing which shows the example of a data structure of a work information table. It is explanatory drawing which shows the example of a data structure of an education information table. It is a conceptual module block diagram about the structural example of 2nd Embodiment. It is explanatory drawing which shows the example of a data structure of a work information table. It is a flowchart which shows the process example by 2nd Embodiment. It is a conceptual module block diagram about the structural example of 3rd Embodiment. It is explanatory drawing which shows the example of a data structure of a personal information table. It is explanatory drawing which shows the example of a data structure of a work information table. It is explanatory drawing which shows the example of a data structure of an education information table. It is a flowchart which shows the process example by 3rd Embodiment. It is explanatory drawing which shows the example of a data structure of a personal information table. It is explanatory drawing which shows the example of a data structure of a work information table. It is explanatory drawing which shows the example of a data structure of an education information table. It is a notional module block diagram about the structural example of 4th Embodiment. It is explanatory drawing which shows the example of a data structure of a personal information table. It is explanatory drawing which shows the example of a data structure of a work information table. It is a flowchart which shows the process example by 4th Embodiment. It is explanatory drawing which shows the process example by 4th Embodiment. It is explanatory drawing which shows the example of a data structure of a personal information table. It is explanatory drawing which shows the example of a data structure of a work information table. It is a block diagram which shows the hardware structural example of the computer which implement | achieves this Embodiment.

Hereinafter, examples of various preferred embodiments for realizing the present invention will be described with reference to the drawings.
<< First Embodiment >>
FIG. 1 is a conceptual module configuration diagram of a configuration example according to the first embodiment.
The module generally refers to components such as software (computer program) and hardware that can be logically separated. Therefore, the module in the present embodiment indicates not only a module in a computer program but also a module in a hardware configuration. Therefore, the present embodiment is a computer program for causing these modules to function (a program for causing a computer to execute each procedure, a program for causing a computer to function as each means, and a function for each computer. This also serves as an explanation of the program and system and method for realizing the above. However, for the sake of explanation, the words “store”, “store”, and equivalents thereof are used. However, when the embodiment is a computer program, these words are stored in a storage device or stored in memory. This means that control is performed so as to be stored in the apparatus. Modules may correspond to functions one-to-one, but in mounting, one module may be configured by one program, or a plurality of modules may be configured by one program, and conversely, one module May be composed of a plurality of programs. The plurality of modules may be executed by one computer, or one module may be executed by a plurality of computers in a distributed or parallel environment. Note that one module may include other modules. Hereinafter, “connection” is used not only for physical connection but also for logical connection (data exchange, instruction, reference relationship between data, etc.). “Predetermined” means that the process is determined before the target process, and not only before the process according to this embodiment starts but also after the process according to this embodiment starts. In addition, if it is before the target processing, it is used in accordance with the situation / state at that time or with the intention to be decided according to the situation / state up to that point. When there are a plurality of “predetermined values”, the values may be different from each other, or two or more values (of course, including all values) may be the same. In addition, the description having the meaning of “do B when it is A” is used in the meaning of “determine whether or not it is A and do B when it is judged as A”. However, the case where it is not necessary to determine whether or not A is excluded.
In addition, the system or device is configured by connecting a plurality of computers, hardware, devices, and the like by communication means such as a network (including one-to-one correspondence communication connection), etc., and one computer, hardware, device. The case where it implement | achieves by etc. is also included. “Apparatus” and “system” are used as synonymous terms. Of course, the “system” does not include a social “mechanism” (social system) that is an artificial arrangement.
In addition, when performing a plurality of processes in each module or in each module, the target information is read from the storage device for each process, and the processing result is written to the storage device after performing the processing. is there. Therefore, description of reading from the storage device before processing and writing to the storage device after processing may be omitted. Here, the storage device may include a hard disk, a RAM (Random Access Memory), an external storage medium, a storage device via a communication line, a register in a CPU (Central Processing Unit), and the like.

An information processing apparatus 100 according to the first embodiment is used in a crowdsourcing system, and as shown in the example of FIG. 1, a personal information storage module 110, a business information storage module 120, an education information storage A module 130, an applicability calculation module 140, and a business information display module 150 are included. In particular, the information processing apparatus 100 calculates the degree of application of the person and the business that prompted the education.
Crowdsourcing refers to all projects that can be carried out jointly by an unspecified number of people. In particular, it refers to a form of employment in which work is entrusted to an unspecified number of people.
In the crowdsourcing system, the contractor accomplishes the work ordered by the orderer with a quality that satisfies the orderer. In the ordering, the ordering is performed with the balance of the intentions of the two parties, “the intention of the orderer” and “the intention of the contractor”. For example, there is “I want to ask a person with such skills” as the “intentions of the orderer” in selecting the contractor, and “I want to do work that can improve these skills” as the “intentions of the contractor” in selecting orders "I want to gain experience in this business."
However, in actuality, it is necessary to consider not only the intentions of these two parties (the orderer and the contractor) but also the “intentions of the agent” (especially education). The agent has an administrator role for the crowdsourcing system. For example, “agent intention” is “a person belonging to X wants to have such skills”. This is because it is not preferable for the agent to have a situation in which it is difficult to place an order because it is difficult to order and there is no person who has the skills to receive an order. For this reason, the agent has the idea that a person who has the right to receive an order (hereinafter also referred to as a contractor candidate or a worker) wants to have such skills. None of the prior art considers the intention of this agent, and there was no mechanism to support ordering from the viewpoint of education of candidate contractors.

  The user terminal 210 is connected to the business information display module 150 of the information processing apparatus 100. The user terminal 210 is operated by the user 215. The user 215 is mainly a contractor candidate, but may be an orderer or an agent. The user terminal 210 includes a display device such as a liquid crystal display, a keyboard, a mouse, a touch panel, and the like. Specifically, a personal computer, a tablet-type terminal, a mobile terminal (a mobile phone including a smartphone), and the like are applicable. . The user terminal 210 displays a screen generated by the business information display module 150 of the information processing apparatus 100, so that the user 215 who is a contractor candidate knows the business that has been recruited. In addition, depending on the operation of the user 215, a job selection or the like is performed.

  The personal information storage module 110 is connected to the applicability calculation module 140. The personal information storage module 110 stores information regarding workers. Information on at least the first level representing the current skill level of the worker is stored. Specifically, a personal information table 300 is stored. FIG. 3 is an explanatory diagram showing an example of the data structure of the personal information table 300. The personal information table 300 includes a personal ID column 310, a job type column 320, a Java (registered trademark) skill column 330, a design skill column 340, and the like. The personal ID column 310 stores information (personal ID: IDentification) for uniquely identifying an individual (worker) in the present embodiment. The job type column 320 stores the job type of the worker. The Java skill column 330 stores the current Java skill level (level value) of the worker. The design skill column 340 stores the current design skill level (level value) of the worker. The values in the Java skill column 330 and the design skill column 340 correspond to the first level example.

  The business information storage module 120 is connected to the applicability calculation module 140. The business information storage module 120 stores information regarding the recruited business. Information on at least the third level indicating the level of skill required for performing the business is stored. Specifically, a business information table 400 is stored. FIG. 4 is an explanatory diagram showing an example of the data structure of the business information table 400. The business information table 400 includes a business ID column 410, a content column 420, a target job column 430, a required skill 1 column 440, a required skill 2 column 450, an order applicant column 490, and the like. The business ID column 410 stores information (business ID) for uniquely identifying a business in the present embodiment. The content column 420 stores the content of the business. The target job column 430 stores the target job type of the job. The required skill 1 column 440 stores the level of skill 1 required for the job (for example, “Java skill 3 or higher”). The required skill 2 column 450 stores the level of skill 2 required by the job (for example, “network skill 2 or higher”, etc.). The order applicant column 490 stores workers (order applicants) who have applied for the work. The values in the required skill 1 column 440 and the required skill 2 column 450 correspond to the third level example.

  The educational information storage module 130 is connected to the applicability calculation module 140. The education information storage module 130 stores information related to the education aspects of workers. Information on the second level representing the skill level targeted by the worker is stored. Specifically, an education information table 500 is stored. FIG. 5 is an explanatory diagram showing an example of the data structure of the education information table 500. The education information table 500 includes a target job column 510, a target skill column 520, a target level column 530, and a weight column 540. The target job type column 510 stores job types that are management targets in terms of education. The target skill column 520 stores the target skill for the job type. The target level column 530 stores a target level for the target skill. The weight column 540 stores the weight of the skill. The weight is used when calculating the applicability. The value in the target level column 530 corresponds to the example of the second level.

The applicability calculation module 140 is connected to the personal information storage module 110, the business information storage module 120, the education information storage module 130, and the business information display module 150. The applicability calculation module 140 calculates the “applicability” of work and people in consideration of the intention (education) of the agent.
The applicability calculation module 140 acquires information on the first level representing the current skill level of the worker registered in the crowdsourcing system from the personal information storage module 110. There may be multiple skills. Therefore, in that case, there are a plurality of skill levels (first levels) for one worker.
And the information regarding the 2nd level showing the degree of skill made into the worker's target is acquired from the education information storage module 130.

Next, out of multiple jobs that are recruited in the crowdsourcing system, work related to skills whose first level is less than the second level (task A), skills whose first level exceeds the second level Control is performed so that the display is prioritized over the work related to (work B). Here, display preferentially means the display form of business A (display order, shape, pattern, color, blinking (change target in blinking is whether or not to blink, period of blinking, blinking interval) Etc.) or a combination thereof) may be different from the display form of the business B. For example, when displaying a list, the operation A may be positioned higher than the operation B, the operation A may be displayed in red, the operation B may be displayed in black, For example, a message such as “for” may be added.
The work displayed by the control is a work in which the first level exceeds the third level indicating the level of skill required for the execution. Information on the third level is stored in the business information storage module 120, and the applicability calculation module 140 acquires information on the third level from the business information storage module 120.

Specifically, the applicability calculation module 140 performs the following processing.
Information on the person (worker) who has accessed the business information display module 150 is acquired from the personal information storage module 110.
Information on the currently ordered business is acquired from the business information storage module 120.
The educational intention of the agent is acquired from the educational information storage module 130.
The degree of applicability is calculated by comparing the following conditions with information in the education information storage module 130.
(A) The level (Java skill column 330 or the like) of the candidate (applicant worker) has not been reached for the item (target level column 530) that is the target of the educational information storage module 130.
(B) The “required skill” (required skill 1 field 440, etc.) of the work includes the corresponding skill (target skill field 520, etc.).
(C) The level of the candidate (working worker) (Java skill column 330, etc.) satisfies the criteria for “skills required” for business (skills required 1 column 440).

  The business information display module 150 is connected to the applicability calculation module 140 and the user terminal 210. The business information display module 150 generates a screen to be displayed on the user terminal 210 under the control of the applicability calculation module 140. Then, the generated screen is transmitted to the user terminal 210 in accordance with the operation of the user 215 or display control by the information processing apparatus 100.

FIG. 2 is an explanatory diagram showing a system configuration example using the present embodiment.
The information processing apparatus 100A, crowd sourcing system 220A, crowd sourcing system 220B, user terminal 210A, user terminal 210B, user terminal 210C, user terminal 210D, and user terminal 210E are connected via a communication line 290, respectively. The crowd sourcing system 220B includes an information processing apparatus 100B. The communication line 290 may be wireless, wired, or a combination thereof, and may be, for example, the Internet or an intranet as a communication infrastructure. Further, the function of the information processing apparatus 100 may be realized as a cloud service.
The crowdsourcing system 220 has the above-described crowdsourcing function. The crowd sourcing system 220 may use the information processing apparatus 100A via the communication line 290 like the crowd sourcing system 220A, or use the information processing apparatus 100B inside such as the crowd sourcing system 220B. You may do it.
For example, when the user 215 is a worker, the user terminal 210A is operated to apply for a task displayed by the crowdsourcing system 220. When the user 215 is an orderer, the user terminal 210B is operated to register the business in the crowdsourcing system 220. At that time, the second level necessary for the work is set for each skill. When the user 215 is an agent, the crowd terminal system 220 is managed by operating the user terminal 210C.

FIG. 6 is a flowchart illustrating a processing example according to the first exemplary embodiment.
In step S <b> 602, it is detected that the user 215, who is a contractor candidate, has accessed the business information display module 150.
In step S <b> 604, the applicability calculation module 140 receives information on the contractor candidate who has accessed the business information display module 150, and acquires detailed information on the contractor candidate from the personal information storage module 110.

The processing from step S606 to step S626 is repeated.
In step S <b> 608, the applicability calculation module 140 acquires business information from the business information storage module 120.
The processing from step S610 to step S624 is repeated.
In step S <b> 612, the applicability calculation module 140 acquires education target information from the education information storage module 130.
In step S614, the applicability calculation module 140 determines whether or not the user 215 who is a contractor candidate satisfies the skill criteria required by the business, and if so, the process proceeds to step S616. In other cases (when there is no possibility of receiving an order in the first place), the process proceeds to step S622.

In step S616, the applicability calculation module 140 determines whether or not the skill of the education target is included in the skill required for the business regardless of the level, and if it is included (in the case of a skill with an educational viewpoint). ) Proceeds to step S618, otherwise proceeds to step S622 (if the skill does not require an educational viewpoint).
In step S618, the applicability calculation module 140 determines whether or not the user 215 who is a contractor candidate has not achieved the educational goal, and if not, proceeds to step S620, otherwise (target) If the worker has achieved the level, the process proceeds to step S622.

In step S620, the value of the applicability is increased (applicability + (1 × (weight))).
In step S622, the value of the applicability is set as it is (applicability ± 0).
If it is determined in step S624 that the condition “the educational information not collated with the job is not in the educational information storage module 130” is satisfied, the process proceeds to step S626. If the condition is not satisfied, the process returns to step S610.

If it is determined in step S626 that the condition that “business information whose degree of application has not been calculated is not on the business information storage module 120” is satisfied, the process proceeds to step S628. If the condition is not satisfied, the process returns to step S606.
In step S <b> 628, the application level calculation module 140 causes the business information display module 150 to display a business with a high application level with a higher priority than other business.

FIG. 7 is an explanatory diagram illustrating a processing example according to the first exemplary embodiment. The orderer display screen 700 shown in the example of FIG. 7 is displayed on the display device of the user terminal 210.
In the orderer display screen 700 shown in the example of FIG. 7A, a button 710 for searching for work for each user 215 (worker), a new message column 720, and a profile setting column 730 are displayed. In the new message column 720, items to be communicated to the user 215 are displayed. In the profile setting column 730, items related to the setting of the profile of the user 215 (specifically, there are items that are not described in the profile, corrections if there are changes, etc.) are displayed.
When the job search button 710 is selected (clicked) by the operation of the user 215, the orderer display screen 700 is displayed on the orderer display screen 700 shown in the examples of FIGS. 7A to 7B. And In the orderer display screen 700 shown in the example of FIG. 7B, a professional tab 735 and an experience unquestioned tab 740 are displayed. When the professional tab 735 is selected, a list of jobs 750 that the worker can accept orders is displayed. The job list 750 includes an application level column 755, a content column 760, a reward column 765, a recruitment number column 770, and a remaining application days column 775. The applicability column 755 displays the applicability calculated by the applicability calculation module 140. The contents column 760 displays the contents of the business. The reward column 765 displays the reward for the business. The number-of-jobs column 770 displays the number of jobs for that job. The remaining application days column 775 displays the remaining application days (may be a deadline date or the like) in the business. In this work list 750, numerical values of the application levels are displayed in the application level column 755, and the application levels are displayed in descending order. By displaying in this way, the contractor candidate (accessing worker) can easily select tasks with high applicability (according to the educational philosophy of the agent). It will be easier to gain experience.

Next, the process according to the first embodiment will be described using a specific example.
FIG. 8 is an explanatory diagram showing an example of the data structure of the personal information table 800. The personal information table 800 is stored in the personal information storage module 110 and has a data structure equivalent to that of the personal information table 300. A network skill field 850 and an html skill field 860 are added as skill fields. The personal information table 800 has a personal ID column 810, a job type column 820, a Java skill column 830, a design skill column 840, a network skill column 850, an html skill column 860, and the like. The personal ID column 810 stores a personal ID. The job type column 820 stores job types. The Java skill column 830 stores the degree (level value) of the Java skill. The design skill column 840 stores the degree (level value) of the design skill. The network skill column 850 stores the degree (level value) of the network skill. The html skill column 860 stores the degree (level value) of the html skill.

  FIG. 9 is an explanatory diagram showing an example of the data structure of the business information table 900. The business information table 900 is stored in the business information storage module 120 and has a data structure equivalent to that of the business information table 400. The business information table 900 includes a business ID column 910, a content column 920, a target job column 930, a required skill 1 column 940, a required skill 2 column 950, an order applicant column 990, and the like. The business ID column 910 stores a business ID. The content column 920 stores the content. The target job column 930 stores the target job type. The required skill 1 column 940 stores the required skill 1 level. The required skill 2 column 950 stores the required skill 2 level. The order applicant field 990 stores an order applicant.

  FIG. 10 is an explanatory diagram showing an example of the data structure of the education information table 1000. The education information table 1000 is stored in the education information storage module 130 and has the same data structure as the education information table 500. The education information table 1000 has a target job column 1010, a target skill column 1020, a target level column 1030, and a weight column 1040. The target job column 1010 stores the target job type. The target skill column 1020 stores the target skill. The target level column 1030 stores the target level. The weight column 1040 stores weights. Note that the weight in the column of the weight column 1040 (the target 1050 in the example of FIG. 10) is a value added to the applicability.

When the data structure is as shown in the examples of FIGS. 8 to 10, the following processing is performed. When the contractor candidate (worker) is a skill that the job requires, does not achieve the target level for that skill, but has achieved the skill level that the job requires (the worker is at a level that can accept the job) However, when the educational target level is not reached, the applicability is added according to the weight. The initial value of the applicability is “0”.
[Calculation processing of applicability when worker H001 browses the work of business A001]
“Java skill” has not reached the target (the Java skill column 830 in the first row of the personal information table 800 is “3” and the target level column 1030 in the first row of the education information table 1000 is “4”), The skill required by A001 includes Java (skill 1 field 940 required in the business information table 900), and the worker H001 clears the standard (Java skill field 830 of the personal information table 800). Therefore, “applicability + 4” is calculated. Note that “+4” is a value extracted from the weight column 1040 in the first row of the education information table 1000.
"Design skills" have achieved the goal. Therefore, the applicability is set as it is (applicability ± 0).
“Network skill” does not reach the target, the network is included in the skill required by the job A001, and the worker H001 has cleared the standard. Therefore, “applicability + 2” is calculated.
Eventually, the application level of the task A001 viewed from the worker H001 is “6”.

[Applicability calculation processing when worker H002 browses the job of job A001]
“Java skill” does not reach the target, and the skill required by job A001 includes Java, and worker H002 has cleared the standard. Therefore, “applicability + 4” is calculated.
Although “design skill” has not yet achieved its goal, the skill required by job A001 does not include design. Therefore, the applicability is set as it is (applicability ± 0).
“Network skill” has not reached the target, and the network required for the job A001 requires the network, but worker H002 does not clear the standard. Therefore, the applicability is set as it is (applicability ± 0).
Eventually, the application degree of the business A001 viewed from the worker H002 is “4”.

[Applicability calculation processing when worker H003 browses the job of job A001]
"Java skill" has achieved the goal. Therefore, the applicability is set as it is (applicability ± 0).
Although “design skill” has not yet achieved its goal, the skill required by job A001 does not include design. Therefore, the applicability is set as it is (applicability ± 0).
“Network skills” have achieved their goals. Therefore, the applicability is set as it is (applicability ± 0).
Finally, the application degree of A001 viewed from the worker H003 is “0”.

[Calculation processing of applicability when worker H004 browses the job of job A001]
The target of “html skill” has not been achieved, but the skill required by the job A001 does not include html. Therefore, the applicability is set as it is (applicability ± 0).
Eventually, the application degree of the business A001 viewed from the worker H004 is “0”.

<< Second Embodiment >>
FIG. 11 is a conceptual module configuration diagram of an exemplary configuration according to the second embodiment.
The information processing apparatus 1100 includes a personal information storage module 110, a business information storage module 120, an education information storage module 130, an applicability calculation module 140, a business information display module 150, and a business information update module 1160. The information processing apparatus 1100 is obtained by adding a business information update module 1160 to the information processing apparatus 100 illustrated in the example of FIG. In addition, the same code | symbol is attached | subjected to the site | part of the same kind as the above-mentioned embodiment, and the overlapping description is abbreviate | omitted (hereinafter the same).
The information processing apparatus 1100 dynamically changes the required level of “skills required by business”. For example, the required skill level increases as the delivery date approaches. Specifically, the business information update module 1160 periodically updates the value in the business information storage module 120 using the following formula.
(Outcome scale) ÷ (Days until delivery) = (Difficulty)
As a result, the skill level required by the business varies depending on the difficulty level.

The personal information storage module 110 is connected to the applicability calculation module 140.
The business information storage module 120 is connected to the business information update module 1160.
The educational information storage module 130 is connected to the applicability calculation module 140.
The applicability calculation module 140 is connected to the personal information storage module 110, the education information storage module 130, the business information update module 1160, and the business information display module 150.
The business information display module 150 is connected to the applicability calculation module 140 and the user terminal 210.
The user terminal 210 is connected to the business information display module 150 of the information processing apparatus 100.

The business information update module 1160 is connected to the business information storage module 120 and the applicability calculation module 140. The business information update module 1160 sets the third level according to the delivery date or scale of the recruited business. The “delivery date or scale of the recruited business” includes “delivery date of the recruited business”, “scale of the recruited business”, and “delivery date and scale of the recruited business”. The third level is increased as the “delivery date of the recruited work” is shorter. The higher the “scale of the recruited work”, the higher the third level. As “delivery date and scale of the recruited business”, for example, the larger the value (scale per unit time) divided by “the scale of the recruited business” divided by the “delivery date of the recruited business”, the third level Make it high.
Specifically, the business information update module 1160 performs the following processing.
Information on “delivery date”, “result scale”, and “skill required” is acquired from the business information storage module 120.
The difficulty level is calculated by the following formula.
(Outcome scale) ÷ (Days until delivery) = (Difficulty)
Then, according to the difficulty level, the required level of “skills required” of the work is increased. As described above, the difficulty level may be calculated only by the result scale, or the difficulty level may be calculated only by the number of days until the delivery date.
As a result, the skill level required is changed in accordance with the remaining time until the delivery date, so that it is possible to place an order that matches the actual skill level.

The business information update module 1160 performs processing on the business information table 1200 in the business information storage module 120.
FIG. 12 is an explanatory diagram showing an example of the data structure of the business information table 1200. The business information table 1200 is stored in the business information storage module 120, has the same data structure as the business information table 400, and includes a delivery date column 1230 and a result scale column 1240.
The business information table 1200 includes a business ID column 1210, a content column 1220, a delivery date column 1230, a result scale column 1240, a target job column 1250, a required skill 1 column 1260, a required skill 2 column 1270, an order applicant column 1290, and the like. ing. The business ID column 1210 stores a business ID. The contents column 1220 stores the contents of the work. The delivery date column 1230 stores the delivery date of the business. The result scale column 1240 stores the result scale of the work (the number of man-hours necessary for performing the work). The target job type column 1250 stores the target job type of the job. The required skill 1 column 1260 stores the level of skill 1 required for the job. The required skill 2 column 1270 stores the level of skill 2 required for the job. The order applicant field 1290 stores an order applicant for the business.
Note that the values of the target location 1265 in the required skill 1 column 1260 and the target location 1275 in the required skill 2 column 1270 are locations that are updated according to the degree of difficulty.

FIG. 13 is a flowchart illustrating a processing example according to the second exemplary embodiment (business information update module 1160).
The processing from step S1302 to step S1312 is repeated.
In step S <b> 1304, the business information update module 1160 acquires information on “delivery date”, “result scale”, and “requested skill” of one business from the business information storage module 120.
In step S1306, the business information update module 1160 calculates a value (difficulty level) obtained by dividing the acquired “result scale” by the number of days until the delivery date.
In step S1308, it is determined whether or not the difficulty level is greater than or equal to a certain value. If the difficulty level is greater than or equal to a certain value, the process proceeds to step S1310. Otherwise, the process proceeds to step S1312.

In step S1310, the business information update module 1160 increases the skill level required for the skill required by the business information storage module 120 by a certain value.
In step S1312, when the condition that “the business information update module 1160 has not acquired information on“ delivery date ”,“ result scale ”, and“ skill required ”does not exist on the business information storage module 120 is satisfied. The process ends (step S1399). If the condition is not satisfied, the process returns to step S1302.

<< Third Embodiment >>
FIG. 14 is a conceptual module configuration diagram of an exemplary configuration according to the third embodiment.
The information processing apparatus 1400 includes a personal information storage module 110, a business information storage module 120, an education information storage module 130, an education information update module 1470, an applicability calculation module 140, and a business information display module 150. The information processing apparatus 1400 is obtained by adding an education information update module 1470 to the information processing apparatus 100 illustrated in the example of FIG.
The information processing apparatus 1400 automatically extracts an agent's intention (education).
By referring to the orders that have been ordered, the skills required by the orderer can be understood. On the other hand, the worker's current skills can be understood from the worker's information.
The direction of training may be determined and presented from this gap (difference between the skill requested by the client and the current skill of the worker). And assign work to encourage the growth of workers.
For example, since there are many tasks that require “Java skill” at level X or higher, human resources who have “Java skill” at level X or higher must be nurtured, which is assisted.

The personal information storage module 110 is connected to the education information update module 1470.
The business information storage module 120 is connected to the education information update module 1470.
The education information storage module 130 is connected to the education information update module 1470.
The applicability calculation module 140 is connected to the education information update module 1470 and the business information display module 150.
The business information display module 150 is connected to the applicability calculation module 140 and the user terminal 210.
The user terminal 210 is connected to the business information display module 150 of the information processing apparatus 100.

The education information update module 1470 is connected to the personal information storage module 110, the business information storage module 120, the education information storage module 130, and the applicability calculation module 140. The education information update module 1470 may set the second level based on the third level information about the recruited work and the number of workers that satisfy the third level. The second level weight may also be set.
Specifically, the education information update module 1470 performs the following processing.
Skill information (first level) acquired by each individual (worker) is acquired for each job type from the personal information storage module 110.
Then, the information (third level) of skills required for each job is acquired from the job information storage module 120 for each target job type.
Next, when the two acquired information (the first level and the third level) are compared and it can be determined that there are few people who have acquired the skills required for the work, the educational information storage module 130 stores the necessary information (that Add a second level of skill).

The educational information update module 1470 performs processing on the personal information table 1500 in the personal information storage module 110, the business information table 1600 in the business information storage module 120, and the educational information table 1700 in the educational information storage module 130.
FIG. 15 is an explanatory diagram showing an example of the data structure of the personal information table 1500. The personal information table 1500 is stored in the personal information storage module 110 and has a data structure equivalent to that of the personal information table 300. A network skill field 1550 and an html skill field 1560 are added as skill fields.
The personal information table 1500 includes a personal ID column 1510, a job category column 1520, a Java skill column 1530, a design skill column 1540, a network skill column 1550, an html skill column 1560, and the like. The personal ID column 1510 stores a personal ID. The job type column 1520 stores job types. The Java skill column 1530 stores a Java skill level (level value). The design skill column 1540 stores the degree (level value) of the design skill. The network skill column 1550 stores the degree (level value) of the network skill. The html skill column 1560 stores the degree (level value) of the html skill.

FIG. 16 is an explanatory diagram showing an example of the data structure of the business information table 1600. The business information table 1600 is stored in the business information storage module 120 and has a data structure equivalent to that of the business information table 400.
The business information table 1600 includes a business ID column 1610, a content column 1620, a target job column 1630, a required skill 1 column 1640, a required skill 2 column 1650, an ordering applicant column 1690, and the like. The business ID column 1610 stores a business ID. The content column 1620 stores the content. The target job column 1630 stores the target job type. The required skill 1 column 1640 stores the required skill 1 level. The required skill 2 column 1650 stores the level of required skill 2. The order applicant column 1690 stores an order applicant.

FIG. 17 is an explanatory diagram showing an example of the data structure of the education information table 1700. The education information table 1700 is stored in the education information storage module 130 and has the same data structure as the education information table 500.
The education information table 1700 has a target job column 1710, a target skill column 1720, a target level column 1730, and a weight column 1740. The target job column 1710 stores the target job type. The target skill column 1720 stores the target skill. The target level column 1730 stores the target level. The weight column 1740 stores weights.
For example, when adding the target level of the network skill (the value of the target 1735 in the target level column 1730 of the education information table 1700), the skill 2 to be obtained from the target 1555 of the network skill column 1550 of the personal information table 1500 and the business information table 1600 Reference will be made to the object 1655 in the column 1650.

FIG. 18 is a flowchart illustrating a processing example according to the third exemplary embodiment.
In step S1802, the education information update module 1470 acquires all information on skills acquired by registered persons from the personal information storage module 110 for each job type.
In step S1804, the education information update module 1470 acquires all the skill information required by the registered job from the job information storage module 120 for each target job type.
In step S1806, the education information update module 1470 identifies (extracts) the level of skills required for a certain number (predetermined threshold) or more of the skills required for the task.

The processing from step S1808 to step S1820 is repeated.
In step S1810, the education information update module 1470 calculates the number of people who have acquired one of the identified skills and skill levels in the target job type.
In step S1812, it is determined whether or not the calculated number is equal to or greater than a certain number (predetermined threshold value). If the calculated number is equal to or greater than the certain number, the process proceeds to step S1820; The process proceeds to step S1814.
In step S1814, it is determined whether or not the target value on the education information storage module 130 of the corresponding skill and job type is higher than the level required in the work, and is higher than the required level. If so, the process proceeds to step S1820. Otherwise, the process proceeds to step S1816.

In step S1816, the educational information update module 1470 calculates a “skill target weight” that is set according to the ratio of the number of people calculated in step S1810 to the number of people in step S1812 (a predetermined value).
In step S1818, the education information update module 1470 updates the education information storage module 130 with the skill target level as the level required by the business.
In step S1820, if the condition that “there are no skill levels required by the identified tasks for which the number of people who have acquired the skills required for the tasks has not been calculated” is satisfied, the process ends. (Step S1899). If the condition is not satisfied, the process returns to step S1808.

Next, processing according to the third embodiment will be described using a specific example.
FIG. 19 is an explanatory diagram showing an example of the data structure of the personal information table 1900. The personal information table 1900 is stored in the personal information storage module 110 and has a data structure equivalent to that of the personal information table 300. A network skill field 1950 and an html skill field 1960 are added as skill fields.
The personal information table 1900 has a personal ID column 1910, a job category column 1920, a Java skill column 1930, a design skill column 1940, a network skill column 1950, an html skill column 1960, and the like. The personal ID column 1910 stores a personal ID. The job type column 1920 stores job types. The Java skill column 1930 stores a Java skill level (level value). The design skill column 1940 stores the degree (level value) of the design skill. The network skill column 1950 stores the degree (level value) of the network skill. The html skill column 1960 stores the degree (level value) of the html skill.

FIG. 20 is an explanatory diagram showing an example of the data structure of the business information table 2000. The business information table 2000 is stored in the business information storage module 120 and has a data structure equivalent to that of the business information table 400.
The business information table 2000 includes a business ID column 2010, a content column 2020, a target job type column 2030, a required skill 1 column 2040, a required skill 2 column 2050, an ordering applicant column 2090, and the like. The business ID column 2010 stores a business ID. The content column 2020 stores the content. The target job column 2030 stores the target job type. The required skill 1 column 2040 stores the level of the required skill 1. The required skill 2 column 2050 stores the required skill 2 level. The order applicant field 2090 stores an order applicant.

FIG. 21 is an explanatory diagram showing an example of the data structure of the education information table 2100. The education information table 2100 is stored in the education information storage module 130 and has a data structure equivalent to that of the education information table 500.
The education information table 2100 has a target job column 2110, a target skill column 2120, a target level column 2130, and a weight column 2140. The target job column 2110 stores the target job type. The target skill column 2120 stores the target skill. The target level column 2130 stores the target level. The weight column 2140 stores weights.

When the data structure is as shown in the examples of FIGS. 19 to 21, the following processing is performed.
The target level of “network skill” of “software development” in the education information table 2100 (the target level column 2130 of the target 2150 in the education information table 2100) is updated to “3” from the following.
(A) “Skill Required: Network Skill 3 or More” (Skill 2 Field 2050 Required in the Business Information Table 2000) in “Target Job Type: Software Development” in the Business Information Table 2000 (Target 2035 in the Target Job Field 2030 in the Business Information Table 2000) (B) “Job title: Software development” in the personal information table 1900 (target 1925 in the job category column 1920 of the personal information table 1900) “Network skill is 3 or higher” (C) The target number of “network skill” of “job type: software development” in the education information table 2100 (education information) is equal to or less than a certain number (1) (target 1955 in the network skill column 1950 of the personal information table 1900) Target level column 2130 of the object 2150 of the table 2100 Is less than 3 (2)

[Determination of target weight to be set]
The weight is updated according to the number of people who have acquired the corresponding skill level acquired from the personal information table 1900. The weight is determined according to the following rules.
-The number of people who have acquired the corresponding skill level is [0-20%] of the above-mentioned fixed number (1): Weight is “5”
-The number of people who have acquired the corresponding skill level is the above-mentioned fixed number (1) [21-40%]: the weight is "4"
-The number of people who have acquired the corresponding skill level is [41-60%] of the fixed number (1): Weight is “3”
-The number of people who have acquired the corresponding skill level is [61-80%] of the above-mentioned fixed number (1): Weight is “2”
-The number of people who have acquired the corresponding skill level is the above-mentioned fixed number (1) [81 to 100%]: the weight is "1"
Therefore, in the third embodiment, the educational information table 2100 with the goal of “target level 3 and weight 5 of the network skill of the software developer” (the target level column 2130 and the weight column 2140 of the object 2150 of the educational information table 2100). Update.
By performing such processing, even if there are a large number of candidates who have achieved the goal of the education information table 2100, it is possible to prevent a large number of jobs with few people from receiving orders. Specifically, an update to raise the target level is performed.
In addition, since the weight is increased as the goal of fewer people is achieved, it is possible to prevent a situation in which there are few people who have the skills to receive orders for ordered work.

<< Fourth Embodiment >>
FIG. 22 is a conceptual module configuration diagram of a configuration example according to the fourth embodiment.
The information processing apparatus 2200 includes a personal information storage module 110, a business information storage module 120, an education information storage module 130, an experience value calculation module 2240, a personal information display module 2250, an applicability calculation module 140, and a business information display module 150. ing. The information processing apparatus 2200 is obtained by adding an experience value calculation module 2240 and a personal information display module 2250 to the information processing apparatus 100 shown in the example of FIG.
The information processing apparatus 2200 automatically calculates how much experience the skill level will increase.

The personal information storage module 110 is connected to the experience value calculation module 2240.
The business information storage module 120 is connected to the experience value calculation module 2240.
The educational information storage module 130 is connected to the applicability calculation module 140.
The applicability calculation module 140 is connected to the education information storage module 130, the personal information display module 2250, and the business information display module 150.
The business information display module 150 is connected to the applicability calculation module 140 and the user terminal 210.
The user terminal 210 is connected to the business information display module 150 of the information processing apparatus 100.

The experience value calculation module 2240 is connected to the personal information storage module 110, the business information storage module 120, and the personal information display module 2250. The experience value calculation module 2240 compares the first level with the third level, and calculates the number of tasks that must be experienced in order to increase to the next skill level. The number of tasks to be calculated is the number of tasks that the worker must experience in order for the target worker to go up to the next skill level (to raise the current first level to a higher level).
Specifically, the experience value calculation module 2240 performs the following processing.
Information about a person who has accessed the personal information display module 2250 is acquired from the personal information storage module 110. In particular, information in the completed work column 2390 of the personal information table 2300 described later is extracted.
The business information storage module 120 acquires information on a business completed by the person who acquired the information.
The obtained “individual skill level” is compared with the “skill level required by the job”, and the remaining skill level is calculated to the extent that the job is completed.

  The personal information display module 2250 is connected to the experience value calculation module 2240 and the application level calculation module 140. The personal information display module 2250 displays the number of tasks calculated by the experience value calculation module 2240 on the user terminal 210 as the personal information of the target worker. For example, a personal information display area 2600 after experience value calculation shown in FIG. 26 to be described later is displayed.

The experience value calculation module 2240 performs processing on the personal information table 2300 in the personal information storage module 110 and the business information table 2400 in the business information storage module 120.
FIG. 23 is an explanatory diagram showing an example of the data structure of the personal information table 2300. The personal information table 2300 is stored in the personal information storage module 110 and has a data structure equivalent to that of the personal information table 300. A network skill column 2350 and an html skill column 2360 are added as skill columns. However, a completed work column 2390 is added.
The personal information table 2300 includes a personal ID column 2310, a job category column 2320, a Java skill column 2330, a design skill column 2340, a network skill column 2350, an html skill column 2360, a completed task column 2390, and the like. The personal ID column 2310 stores a personal ID. The job type column 2320 stores job types. The Java skill column 2330 stores the degree (level value) of the Java skill. The design skill column 2340 stores the degree (level value) of the design skill. The network skill column 2350 stores the degree (level value) of the network skill. The html skill column 2360 stores the degree (level value) of the html skill. The completed work column 2390 stores completed work.

FIG. 24 is an explanatory diagram showing an example of the data structure of the business information table 2400. The business information table 2400 is stored in the business information storage module 120 and has a data structure equivalent to that of the business information table 400.
The business information table 2400 includes a business ID column 2410, a content column 2420, a target job category 2430, a required skill 1 column 2440, a required skill 2 column 2450, an ordering applicant column 2490, and the like. The business ID column 2410 stores a business ID. The content column 2420 stores the content. The target job column 2430 stores the target job type. The required skill 1 column 2440 stores the required skill 1 level. The required skill 2 column 2450 stores the level of required skill 2. The order applicant column 2490 stores an order applicant.

FIG. 25 is a flowchart illustrating a processing example according to the fourth exemplary embodiment.
In step S2502, the user 215 who is a contractor candidate accesses the personal information display module 2250.
In step S2504, the experience value calculation module 2240 obtains information about the person who has accessed the personal information display module 2250 from the personal information storage module 110.
In step S <b> 2506, the experience value calculation module 2240 acquires the acquired “complete job” information of the individual from the job information storage module 120.

The processing from step S2508 to step S2524 is repeated.
In step S2510, the experience value calculation module 2240 calculates how many individuals have completed the task of obtaining the same skill level as the level of one skill of the acquired individual.
In step S2512, it is determined whether or not the calculated number of completed tasks is equal to or greater than a certain value (a predetermined threshold). If it is greater than or equal to a certain value, the process proceeds to step S2514; otherwise, the process proceeds to step S2522. move on.
The processing from step S2514 to step S2520 is repeated.
In step S2516, the experience value calculation module 2240 increases the level of the corresponding skill in the personal information storage module 110 by one level.
In step S2518, the experience value calculation module 2240 calculates how many tasks for obtaining the level of the skill are completed.
If it is determined in step S2520 that the condition “the number of completed tasks is equal to or less than a predetermined value (predetermined threshold)” is satisfied, the process advances to step S2522. If the condition is not satisfied, the process returns to step S2514.

In step S2522, the experience value calculation module 2240 calculates the difference between the number of completed cases and a fixed value (predetermined value).
In step S2524, if the condition that “the skill that does not calculate the difference between the number of completed cases and a certain value (predetermined value) does not exist in the skill attribute of the personal information storage module 110” is satisfied, the process ends. (Step S2599). If the condition is not satisfied, the process returns to step S2508.

Next, processing according to the fourth embodiment will be described using a specific example.
FIG. 27 is an explanatory diagram showing an example of the data structure of the personal information table 2700. The personal information table 2700 is stored in the personal information storage module 110, and has the same data structure as the personal information table 300. The name field 2720, the skill field, the network skill field 2760, the html skill field 2770, and the completion A business column 2790 is added.
The personal information table 2700 includes a personal ID column 2710, a name column 2720, a job category column 2730, a Java skill column 2740, a design skill column 2750, a network skill column 2760, an html skill column 2770, a completed task column 2790, and the like. The personal ID column 2710 stores a personal ID. The name column 2720 stores the name of the user indicated by the personal ID. The job type column 2730 stores job types. The Java skill column 2740 stores the degree (level value) of the Java skill. The design skill column 2750 stores the degree (level value) of the design skill. The network skill column 2760 stores the degree (level value) of the network skill. The html skill column 2770 stores the degree (level value) of the html skill. The completed business column 2790 stores a business ID of a business completed by the user.

FIG. 28 is an explanatory diagram of an example of the data structure of the business information table 2800. The business information table 2800 is stored in the business information storage module 120 and has a data structure equivalent to that of the business information table 400.
The business information table 2800 includes a business ID column 2810, a content column 2820, a target job column 2830, a required skill 1 column 2840, a required skill 2 column 2850, an order applicant column 2890, and the like. The business ID column 2810 stores a business ID. The content column 2820 stores the content. The target job column 2830 stores the target job type. The required skill 1 column 2840 stores the level of the required skill 1. The required skill 2 column 2850 stores the required skill 2 level. The order applicant field 2890 stores an order applicant.

When the data structure is as shown in the examples of FIGS. 27 and 28, the following processing is performed.
FIG. 26 is an explanatory diagram showing a processing example (display example by the personal information display module 2250) according to the fourth embodiment. The personal information display area 2600 after the experience value calculation shown in the example of FIG. 26 is displayed on the display device of the user terminal 210.
In the personal information display area 2600 after the experience value calculation, a photo field 2610, a personal ID field 2620, a name field 2630, a job type field 2640, and an acquired skill field 2650 are displayed.
The personal ID column 2620 displays “H001” (the value of the personal ID column 2710 of the personal information table 2700) that is the worker's personal ID.
The name column 2630 displays “Tanaka Taro” (the value in the name column 2720 of the personal information table 2700), which is the name of the worker.
The job type column 2640 displays “software engineer” (value in the job type column 2730 of the personal information table 2700), which is the job type of the worker.
In the acquired skill column 2650, the processing result by the experience value calculation module 2240 is displayed. For example, the following display is performed.
"Java: 3
* Java skill will be 3.5 when you complete 2 more tasks of "Required skill" Java3 or higher ".
Design: 3
* The design skill will be 3.5 after completing 3 more tasks of "Skill to be requested" Design 3 or more ". "

When Tanaka Taro (personal ID: H001) accesses the personal information display module 2250, the “number of tasks that must be experienced to increase to the next skill level” portion (in the acquired skill column 2650) shown in the example of FIG. * As in (Part), the number of tasks required to raise the current skill level to the next level is displayed. For this purpose, the experience value calculation module 2240 performs the following processing.
From the completed work column 2790 of the personal information table 2700, Taro Tanaka extracts that the work of “A001, A002, A003” has been completed.
(A) Regarding “Java skill”, the “Java skill” of Taro Tanaka from the Java skill column 2740 of the personal information table 2700 is currently level “3”. From the business information table 2800, there is only one business that has “Java skill 3 or higher” as the skill required in the business of “A001, A002, A003”. Here, since the set value (the number of tasks that must be experienced in order to increase the level by one level (here, level 0.5)) is “3”, the calculation is performed using the following equation. The work that must be experienced must be a work that requires the same level as the current level of the worker.
(Set value)-(Number of completed tasks with target skills so far) = (Number of tasks that must be experienced in the future)
Specifically, “3-1 = 2” is calculated. Therefore, when two more jobs for “skill required“ Java 3 or higher ”” are completed, “Java skill” is raised to the next level 3.5.

(B) Regarding “design skill”, “design skill” of Taro Tanaka from the design skill column 2750 of the personal information table 2700 is currently at the level “2.5”. From the business information table 2800, there are three businesses that have “design skill 2.5 or more” as skills required in the business of “A001, A002, A003”. Here, since the set value is “3”, “3-3 = 0” is calculated by using the above formula. Therefore, since the number of completed tasks is not smaller than the set value, Tanaka Taro's design skill is increased by one level. Specifically, the level of Taro Tanaka's design skill in the personal information table 2700 is updated from “2.5” to level “3”.
Then, from the business information table 2800, the number of “skill to be requested“ design 3 or higher ”” is zero among the jobs “A001, A002, A003”. Since the set value is “3”, “3−0 = 3” is calculated by using the above-described equation. Therefore, if three more tasks of “skill required“ design 3 or higher ”” are completed, “design skill” will be raised to the next level 3.5.
By such processing, the user 215 who is a candidate for the contractor can check the skill level that is likely to rise.

  In addition, when there are a plurality of tasks related to skills whose first level is less than the second level, the applicability calculation module 140 controls to display a task with a higher third level with priority over a task with a lower level. Also good. In other words, the job that must be experienced to advance to the next skill level must be a job that requires the same level as the worker's current level. Since the level must be equal to or higher than the requested level, it is not possible to go up to the next level unless a third level (level requested by the job) is selected. Therefore, in order to move up to the next level, control is performed such that a task with a higher third level is displayed with priority over a task with a lower level. Further, it may be controlled so that a job requesting the same level as the worker's current level is displayed with priority over other jobs.

  Note that the hardware configuration of the computer on which the program according to the present embodiment is executed is a general computer as illustrated in FIG. 29, specifically, a personal computer, a computer that can be a server, or the like. That is, as a specific example, a CPU 2901 is used as a processing unit (calculation unit), and a RAM 2902, a ROM 2903, and an HD 2904 are used as storage devices. As the HD 2904, for example, a hard disk or an SSD (Solid State Drive) may be used. CPU 2901 for executing programs such as the application degree calculation module 140, the business information display module 150, the business information update module 1160, the education information update module 1470, the experience value calculation module 2240, the personal information display module 2250, and the program and data are stored. RAM 2902, a ROM 2903 storing a program for starting up the computer, and the like, an auxiliary storage device having functions of a personal information storage module 110, a business information storage module 120, and an education information storage module 130 (such as a flash memory) HD 2904, a reception device 2906 that accepts data based on user operations on a keyboard, mouse, touch panel, microphone, etc., CRT, liquid crystal display, speaker An output device 2905 and the like, communication for connecting to a communication network such as a network interface card line interface 2907, and, and a bus 2908 for exchanging data by connecting them. A plurality of these computers may be connected to each other via a network.

Among the above-described embodiments, the computer program is a computer program that reads the computer program, which is software, in the hardware configuration system, and the software and hardware resources cooperate with each other. Is realized.
Note that the hardware configuration shown in FIG. 29 shows one configuration example, and the present embodiment is not limited to the configuration shown in FIG. 29, and is a configuration that can execute the modules described in the present embodiment. I just need it. For example, some modules may be configured with dedicated hardware (for example, Application Specific Integrated Circuit (ASIC), etc.), and some modules are in an external system and connected via a communication line Alternatively, a plurality of systems shown in FIG. 29 may be connected to each other via a communication line so as to cooperate with each other. In particular, in addition to personal computers, portable information communication devices (including mobile phones, smartphones, mobile devices, wearable computers, etc.), information appliances, robots, copiers, fax machines, scanners, printers, multifunction devices (scanners, printers, An image processing apparatus having two or more functions such as a copying machine and a fax machine) may be incorporated.

Note that the above-described various embodiments may be combined (for example, adding or replacing a module in one embodiment in another embodiment), and processing contents of each module The technique described in the background art may be employed.
Further, in the description of the above-described embodiment, “more than”, “less than”, “greater than”, and “less than (less than)” in a comparison with a predetermined value contradicts the combination. As long as the above does not occur, “larger”, “smaller (less than)”, “more”, and “less” may be used.

The program described above may be provided by being stored in a recording medium, or the program may be provided by communication means. In that case, for example, the above-described program may be regarded as an invention of a “computer-readable recording medium recording the program”.
The “computer-readable recording medium on which a program is recorded” refers to a computer-readable recording medium on which a program is recorded, which is used for program installation, execution, program distribution, and the like.
The recording medium is, for example, a digital versatile disc (DVD), which is a standard established by the DVD Forum, such as “DVD-R, DVD-RW, DVD-RAM,” and DVD + RW. Standard “DVD + R, DVD + RW, etc.”, compact disc (CD), read-only memory (CD-ROM), CD recordable (CD-R), CD rewritable (CD-RW), Blu-ray disc ( Blu-ray (registered trademark) Disc), magneto-optical disk (MO), flexible disk (FD), magnetic tape, hard disk, read-only memory (ROM), electrically erasable and rewritable read-only memory (EEPROM (registered trademark)) )), Flash memory, Random access memory (RAM) SD (Secure Digital) memory card and the like.
The program or a part of the program may be recorded on the recording medium for storage or distribution. Also, by communication, for example, a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a wired network used for the Internet, an intranet, an extranet, or a wireless communication It may be transmitted using a transmission medium such as a network or a combination of these, or may be carried on a carrier wave.
Furthermore, the program may be a part of another program, or may be recorded on a recording medium together with a separate program. Moreover, it may be divided and recorded on a plurality of recording media. Further, it may be recorded in any manner as long as it can be restored, such as compression or encryption.

DESCRIPTION OF SYMBOLS 100 ... Information processing apparatus 110 ... Personal information storage module 120 ... Business information storage module 130 ... Education information storage module 140 ... Applicability calculation module 150 ... Business information display module 210 ... User terminal 220 ... Crowd sourcing system 215 ... User 290 ... Communication Line 1100 ... Information processing device 1160 ... Business information update module 1400 ... Information processing device 1470 ... Education information update module 2200 ... Information processing device 2240 ... Experience value calculation module 2250 ... Personal information display module

Claims (6)

First acquisition means for acquiring information on a first level representing a current skill level of a worker registered in a crowdsourcing system;
Second acquisition means for acquiring information relating to a second level representing the degree of skill targeted by the worker;
Out of a plurality of jobs recruited in the crowdsourcing system, work related to skills whose first level is less than the second level has priority over work related to skills whose first level exceeds the second level Control means for controlling to display automatically,
Have
The task displayed by the control is a task in which the first level exceeds the third level indicating the level of skill required for the execution.
Information processing device. The third level is set according to the delivery date or scale of the recruited business.
The information processing apparatus according to claim 1. The information according to claim 1 or 2, further comprising setting means for setting the second level based on the third level information on the recruited business and the number of workers that satisfy the third level. Processing equipment. The information processing apparatus according to any one of claims 1 to 3, further comprising a calculation unit that compares the first level with the third level and calculates the number of tasks that must be experienced in order to increase to the next level. . When there are a plurality of tasks related to skills whose first level is less than the second level, the control means controls to display a task having a higher third level preferentially than a task having a lower level.
The information processing apparatus according to any one of claims 1 to 4. Computer
First acquisition means for acquiring information on a first level representing a current skill level of a worker registered in a crowdsourcing system;
Second acquisition means for acquiring information relating to a second level representing the degree of skill targeted by the worker;
Out of a plurality of jobs recruited in the crowdsourcing system, work related to skills whose first level is less than the second level has priority over work related to skills whose first level exceeds the second level Function as a control means for controlling to display automatically,
The task displayed by the control is a task in which the first level exceeds the third level indicating the level of skill required for the execution.
Information processing program.

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