JP2003030316A - System and method for supporting metier decision making - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provided a system and a method for supporting metier decision making which adequately evaluate potentials or desires by individual examinees and totally decides and outputs optimum metiers. SOLUTION: In a metier decision support system in computer environment wherein an examinees terminal and a metier decision server are connected together through a network, the metier decision server has the stages of receiving inputted information from the examinees terminal; computing a mind value as an index for evaluating the individual attitude to an event; computing a character value as an index for evaluating the character that the individual has; computing a capability value as an index for evaluating the individual's potential; generating an individual's model to be contrasted with previously registered occupation type according to them; computing occupation type model similarity by contrasting it with the occupation type models; and selecting and transmitting the occupation type model having the highest occupation type model similarity to the examinees terminal.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a suitable employment determination support system and method for determining and outputting suitable employment of a subject based on information input by the subject.

[0002]

2. Description of the Related Art In recent years, the utilization of human resources has become the most important issue in order to overcome the severe business environment in Japan. In order to revitalize human resources, the wage system is currently shifting from fixed wages based on conventional lifelong employment to ability wages according to individual performance and ability.

In such an environment, young people are adequately adaptable to environmental changes, while middle-aged and older people are forced to drastically shift from the conventional wage system, and middle-aged and older workers are under pressure. The probability of mismatch in people is very high. However, know-how and skills based on a wealth of experience that young workers do not have are valuable intangible assets for companies, and how to utilize middle-aged and elderly workers is one of the important factors that determine the fate of a company. It is becoming one.

Conventionally, in order to promote such a change of occupation of middle-aged and elderly workers, efforts have been made to improve the ability of each worker by means of labor training utilizing a professional training system, etc. However, the choice of these various trainings is to the worker himself. It is only based on the wishes of the above, and it cannot be said that the training was selected to accurately evaluate the aptitude of workers. Therefore, it is difficult to say that it has been effective in changing the occupation of middle-aged and elderly workers.

[0005] Therefore, various types of judgment services have come to be performed in which various types of information are drawn from the worker who is the subject to point out what kind of job the worker can convert to another job. ing.

[0006] In such a service, a plurality of questions are prepared, and the subject answers the questions, thereby digitizing the present condition of each subject, that is, the acquired skill, experience value, etc. The service mainly provides the information necessary to judge the type of job.

[0007]

However, in the conventional occupation determination system as described above, it is merely to show the degree of each item indicating the aptitude, and which occupation is finally determined. It was the responsibility of the subject to choose. In addition, most of them focus on understanding the current situation, and there is a problem that the evaluation part of the potential of the subject such as the potential of the subject himself is lacking.

[0008] Further, it is difficult to exclude the subject's feelings when inputting information, and it is difficult to secure the reliability or objectivity of the judgment result itself of being suitable for a job. There were also points.

On the other hand, showing the suitability of the subject to the desired job type based on the subject's wishes is considered to be one of the effective services in some respects. However,
In the conventional job classification system, it is unclear what the person needs to work in the job, and the subject himself cannot even indicate the direction of his future career path. There was also.

In order to solve the above problems, the present invention provides
It is an object of the present invention to provide a suitable employment determination support system and method capable of appropriately evaluating the potential or desire of each subject and comprehensively determining and outputting an optimal job type.

[0011]

In order to achieve the above object, a suitable employment determination support system according to the present invention is based on a subject terminal used by a subject who inputs information about himself and obtains suitable employment information, and an aptitude information based on the suitability information. A suitable employment determination server for determining a suitable employment by a network, a suitable employment determination support system, wherein the suitable employment determination server receives an input data from a subject terminal,
Based on the input information, a mind value calculation unit that calculates the mind value that is an index that evaluates the attitude of the individual to tackle the event, and an index that evaluates the temper that is fixed to the individual based on the input information A character value calculation unit for calculating a character value, and a capability value calculation unit for calculating a capability value, which is an index for evaluating an individual's potential ability, based on the input information, a mind value, a character value, And a personal model generation unit that generates a personal model as an index for comparison with a job model registered in advance, based on the capability value,
By comparing the personal model and the job model, the job model similarity calculator that calculates the job model similarity indicating the degree of similarity, and based on the job model similarity, select the job model with the highest similarity, It is characterized by including a job type model selection / transmission unit for transmitting to a subject terminal.

With such a configuration, by using the mind value, the character value, and the capability value, which are indexes for objectively judging the potential of the subject, the potential outwardness degree, temper, and ability of the subject can be appropriately determined. It is possible to evaluate, and it is possible to select the most suitable job model while ensuring objectivity.

Further, in the suitable job determination support system according to the present invention, the job type model similarity calculator calculates the similarity based on the mind value, the character value, and the capability value before calculating the job type model similarity. It is preferable to narrow down the target job model. This is because in the calculation of the degree of similarity, it is possible to minimize the consumption of computer resources by narrowing down the job model to be compared in advance.

Further, in the suitable employment determination support system according to the present invention, the job type model and the individual model are shown by the numerical parameters of a plurality of items. The model parameter is divided by the job model parameter, the average value of the multiple division results for multiple items is calculated, and the average value of the division results is 1 in the job model selection / transmission unit.
It is preferable to determine that the closer the value is to, the higher the degree of similarity is. This is because the occupation model has the closest degree of variation to the individual model.

Next, in order to achieve the above-mentioned object, a suitable employment determination support system according to the present invention uses a subject terminal used by a subject who inputs information about himself and obtains suitable employment information, and a suitable employment based on the suitability information. A qualification determination support system that connects a qualification determination server for determination via a network, wherein the qualification determination server receives an input data from a subject terminal and an input data receiving unit based on the input information. , Wants value calculator that calculates the wants value, which is an index to judge the type of work that an individual desires, and a desired sample model as an index to compare with a previously registered type of work model based on the wants value. The desired sample model generation unit to be generated is compared with the desired sample model and the job model, and the job model similarity indicating the degree of similarity is calculated. What kind model similarity calculation unit that, based on the job model similarity, selects the most similar job model, characterized in that it comprises a job model selection and transmission unit for transmitting to the subject terminal.

With this configuration, by using the Wants value which is an index for objectively judging the wishes of the subject, the ability required of the subject can be appropriately evaluated, and the direction of the career path can be facilitated. It can be established.

Further, in the suitable employment determination support system according to the present invention, the job type model and the desired sample model are shown by the numerical parameters for a plurality of items. The parameter of the desired sample model is divided by the parameter of the job category model, the average value of multiple division results for multiple items is calculated, and in the job category model selection / transmission unit, the closer the average value of the division results is to 1, the more the similarity is. Is preferably high. This is because such a job model has the closest degree of variation to the desired sample model.

Further, the suitable employment determination support system according to the present invention comprises a subject terminal used by a subject who inputs information about himself and obtains suitable employment information, and a suitable employment determination server which determines suitable employment based on the suitability information. In a suitable employment determination support system connected via a network, a subject terminal inputs a personal data input section for inputting information about self,
A mind value calculation unit that calculates a mind value, which is an index for evaluating the attitude of an individual to tackle an event based on the input information about the self, and a temper that is fixed and formed on the individual based on the input information about the self A character value calculation unit that calculates a character value that is an index for evaluating, and a capability value calculation unit that calculates a capability value that is an index for evaluating an individual's potential ability, based on the input information about the self, Based on the mind value, character value, and capability value, a personal model generation unit that generates a personal model as an index for comparison with a previously registered occupation model, and the generated personal model is sent to a suitable employment determination server Optimal occupation model reception that receives the optimal occupation model from the individual model transmission unit The job-appropriate determination server compares the individual model with the job-type model and calculates the job-model similarity indicating the degree of similarity, and a job-model similarity calculator based on the job-model similarity. It is characterized by including a job type model selection / transmission unit that selects a job type model with a high degree and transmits it to the subject terminal.

With such a configuration, by using the mind value, the character value, and the capability value, which are indicators for objectively judging the potential of the subject himself, the potential outwardness degree, temper, and ability of the subject are appropriately adjusted. It is possible to evaluate, and it is possible to select the most suitable job model while ensuring objectivity.

Further, in the suitable job determination support system according to the present invention, the job type model similarity calculator calculates the similarity based on the mind value, the character value, and the capability value before calculating the job type model similarity. It is preferable to narrow down the target job model. This is because in the calculation of the degree of similarity, it is possible to minimize the consumption of computer resources by narrowing down the job model to be compared in advance.

Furthermore, the suitable employment determination support system according to the present invention includes a subject terminal used by a subject who inputs information about himself and obtains suitable employment information, and a suitable employment determination server which determines suitable employment based on the suitability information. A suitable employment determination support system connected via a network, in which a subject terminal determines a job type desired by an individual based on a personal data input unit for inputting information regarding the self and the input information regarding the self. A Wants value calculator that calculates the Wants value, which is an index, and a desired sample model generator that creates a desired sample model as an index to compare with the previously registered occupation model based on the Wants value. The desired sample model sending unit that sends the desired sample model to the job qualification server and the job qualification server An optimum job type model receiving unit for receiving a model, a suitable job determination server compares a desired sample model and a job type model, and calculates a job type model similarity indicating the degree of similarity, and a job type model similarity calculation unit, It is characterized by including a job type model selection / transmission unit that selects a job type model with the highest degree of similarity based on the job type model similarity and transmits it to the subject terminal.

With this configuration, by using the Wants value, which is an index for objectively judging the wishes of the subject, the ability required of the subject can be appropriately evaluated, and the direction of the career path can be facilitated. It can be established.

Further, the present invention is characterized by software for executing the functions of the above-mentioned suitable employment judgment support system as processing steps of a computer. Specifically, by inputting information regarding oneself, suitable employment information is obtained. A method for supporting a suitable job in a computer environment in which a subject terminal used by a subject who acquires a job and a suitable job determination server for determining a suitable job based on aptitude information are connected via a network, wherein the suitable job determination server is a subject terminal. Based on the process of receiving the information input from
Calculating a mind value, which is an index for evaluating an individual's attitude toward an event, and a step of calculating a character value, which is an index for evaluating the temper formed and fixed to an individual, based on the input information, Based on the information obtained, the process of calculating the capability value, which is an index for evaluating the individual's potential ability, is compared with the registered job model based on the mind value, character value, and capability value. Based on the job model model similarity, the process of generating an individual model as an index, the process of comparing the individual model and the job model, and calculating the job model similarity indicating the degree of similarity, Highly qualified occupation model is selected and transmitted to the subject terminal. The features.

With such a configuration, by loading and executing the program on a computer, the mind value, the character value, and the capability value, which are indices for objectively determining the subject's potential etc., are used. It is possible to realize a suitable employment determination support system capable of appropriately evaluating the potential degree of outwardness, temperament, and ability, and selecting an optimal job type model while ensuring objectivity.

Furthermore, the present invention is characterized by software that executes the functions of the above-mentioned suitable job determination support system as processing steps of a computer. Specifically, by inputting information regarding oneself, the suitable job information is entered. A method for supporting a suitable job in a computer environment in which a subject terminal used by a subject who acquires a job and a suitable job determination server for determining a suitable job based on aptitude information are connected via a network, wherein the suitable job determination server is a subject terminal. The process of receiving the information input from, the process of calculating the wants value which is an index for judging the type of work desired by the individual based on the input information, and the pre-registered based on the wants value. Process of generating a desired sample model as an index to compare with the existing occupation model, and the desired sample model and occupation model Comparing each other, calculating a job model similarity indicating the degree of similarity, and selecting a job model with the highest similarity based on the job model similarity, and transmitting to the subject terminal The program is characterized by a support method and a program recording such steps.

With this configuration, by using the Wants value which is an index for objectively judging the subject's wishes by loading and executing the program on a computer, the ability required of the subject can be appropriately evaluated. Therefore, it is possible to realize a suitable employment determination support system that can easily establish the direction of a career path.

[0027]

BEST MODE FOR CARRYING OUT THE INVENTION (Embodiment 1) Hereinafter, a suitable job determination support system according to Embodiment 1 of the present invention will be described.
A description will be given with reference to the drawings. FIG. 1 is a configuration diagram of a suitable job determination support system according to a first exemplary embodiment of the present invention.

In FIG. 1, reference numeral 1 denotes a subject terminal, which is a terminal for a subject searching for a suitable job to input information about himself and displaying the result. Reference numeral 2 denotes an aptitude determination server, which provides information on the type of job determined to be optimal based on the individualized information input from the subject terminal 1. 3 is a communication means such as the Internet,
The subject terminal 1 and the suitable employment determination server 2 are mutually connected.

FIG. 2 is a view showing an example of the input screen of the subject terminal in the suitable employment determination support system according to the first embodiment of the present invention. As shown in FIG. 2, first, the subject ID is I
The D input area 11 and the password are input to the password input area 12. When the authentication process is completed normally, the question items are sequentially displayed in the question item display area 13. Therefore, the test subject answers each by using the answer number input area 14 and clicks the confirmation button 15. Pressing will move to the next question.

It should be noted that the input screen is not particularly limited to such a screen configuration, and any screen configuration may be used as long as it is a screen configuration in which necessary information can be input, and a multi-window is used. It is not limited to single windows or single windows.

Next, regarding the function of the suitable job determination server 2 in the suitable job determination support system according to the first embodiment,
A description will be given with reference to the drawings. FIG. 3 is a configuration diagram of the suitable job determination server 2 in the suitable job determination support system according to the first exemplary embodiment of the present invention.

In FIG. 3, first, the user ID and password are transmitted from the subject terminal 1, and the user authentication section 21 confirms whether or not the subject. When it is confirmed that the subject is the subject himself, the question transmitting section 22 sequentially transmits the questions stored in the question storing section 23 to the subject terminal 1. Further, how the answer to the transmitted question affects the calculation of the mind value, the character value, and the capability value, which will be described later, etc. is determined in advance, and the evaluation value calculation information storage unit 24 is stored in advance. I will save it.

Specifically, for example, when the question is "not thinking in the past and thinking according to the present.", The mind value is a high degree of outwardness (a low degree of internal politics).
Information that acts as an evaluation and acts as a high evaluation of the item value of “good quality” as a character value is digitized and stored in the evaluation value calculation information storage unit 24. In this way, the action of each question item is stored as numerical data.

Next, the information input from the input screen of the subject terminal 1 is received by the input data receiving section 25. The input information is stored in the input data storage unit 26 and is used for calculating the following index for judging the potential of an individual. In the first embodiment, the input information is once stored and then processed, but the present invention is not limited to this, and the input data storage unit 26 is not provided and the input information is sequentially processed. May be

First, the mind value calculation unit 27 calculates a mind value which is an index for evaluating the attitude of the subject with respect to the event. That is, the higher the mind value is, the higher the outward degree of the subject is, and the lower the mind value is, the higher the degree of internal affairs of the subject is. Therefore, it can be used as an index for determining that the higher the degree of outward tendency is, the more suitable for the job category such as “sales” and the higher the degree of internal affairs is, the more suitable for the job category such as “Research and development”.

Specifically, "outgoing" for each question item,
It is divided into three categories, "domestic affairs" and "irrelevant",
"Extra" is "1", "Internal affairs" is "-1", "No relation"
Is set to '0'. Then, the sum of the input value for each question item and the coefficient values of “1”, “−1”, and “0” is calculated as the mind value of the subject.

The method of calculating the mind value is not limited to this, and other methods may be used. Also,
The calculated mind value for each subject is stored in the mind value storage unit 28.

FIG. 4 is a view showing an example of the data structure of the mind value storage unit 28 in the suitable job determination support system according to the first embodiment of the present invention. As shown in FIG. 4, the mind value calculated for each minimum user ID may be stored. However, in order to enable detailed analysis, it is desirable to save each question item number (indicated by a number with a circle in FIG. 4) and its answer.

Next, the character value calculation unit 29 calculates a character value which is an index for evaluating the temper that is formed and fixed on the subject. The character value is divided into a plurality of items, and the tempers formed and fixed on the subject are evaluated based on the magnitude of the absolute value of each item.

More specifically, a plurality of items indicating temperament such as "gentleness" and "strength of intention" are prepared, and it is determined which temperament item each question affects. . Then, the input values for the questions are added as item values indicating the temper, and the sum of the item values for each individual is expressed as a percentage of "100%" to obtain the character value for each item.

For example, if the question is "don't get caught in the past and think according to the present.", The input value is added to the item of "goodness of paste" to obtain the item "goodness of paste". Will be emphasized. The method for calculating the character value is not limited to this. The character value calculated for each item is stored in the character value storage unit 30.
Will be saved in.

FIG. 5 is a view showing an example of the data structure of the character value storage unit 30 in the suitable job determination support system according to the first embodiment of the present invention. As shown in FIG. 5, the character value for each character item (represented by a number with a circle in FIG. 5) for each user ID is expressed as a percentage value with the sum of all items being “100%”. It will be saved.

Further, the capability value calculation unit 31 calculates a capability value which is an index for evaluating the latent ability of the subject. The capability value is divided into multiple items, and depending on the magnitude of the absolute value of each item,
It will assess the potential abilities of the subject.

More specifically, a plurality of items representing abilities such as "continuation inventive step" and "knowledge application ability" are prepared, and it is determined which item each proficiency represents. deep. Then, the input value for the question is added as the item value indicating the ability, and the capability value for each item is obtained.

For example, if the question is "I would like to make an effort to buy work methods and products in order to respond to changes and progress in the market and the environment." By adding the input value to the item, the item “continuous inventive step” is emphasized. Further, with respect to the other items such as “value judgment power” and “flexibility correspondence power”, so-called weighted addition, in which the input value is multiplied by a certain subtraction coefficient and then added, can be performed. The method of calculating the capability value is not limited to this. The capability value calculated for each item is stored in the capability value storage unit 32.

FIG. 6 shows the capability value storage unit 3 in the suitable job determination support system according to the first embodiment of the present invention.
It is an illustration figure of the data structure of 2. As shown in FIG. 6, the capability value for each capability item (indicated by a number with a circle in FIG. 5) for each user ID is stored as a numerical value with a perfect score of “100” in each capability item. Become. Therefore, unlike the character value, the total sum of the items does not match for each subject.

Then, in the individual model generating section 33,
The personal model is generated based on the mind value stored in the mind value storage unit 28, the character value stored in the character value storage unit 30, and the capability value stored in the capability value storage unit 32.

Specifically, in the personal model generation unit 33, the mind value stored in the mind value storage unit 28, the character value stored in the character value storage unit 30, and the capability stored in the capability value storage unit 32. A personal model will be created with the value itself as a parameter. In the first embodiment, a personal model storage unit for storing the personal model is not provided, but this is because each parameter is not processed in particular. When the personal model is subjected to some processing to generate another parameter, it is preferable to separately provide a personal model storage unit.

Then, in the job type model similarity calculation unit 34, the generated personal model and the job type model storage unit 35
In comparison with the job type model registered in advance, the degree of similarity is calculated.

First, a method of calculating the degree of similarity will be described. FIG. 7 shows a configuration diagram of the job type model similarity calculation unit 34 in the suitable job determination support system according to the first exemplary embodiment of the present invention.

In FIG. 7, first, the mind-base narrowing-down processing unit 341 narrows down job models to be compared and contrasted based on the mind value of the individual model. That is, the conditions for narrowing down the conditions are stored in the mind condition storage unit 342.
The job type model that matches the condition is extracted by storing the result in the mind value storage unit 28 and collating it with the mind value read from the mind value storage unit 28.

FIG. 8 is a mind condition storage unit 342 in the suitable job determination support system according to the first embodiment of the present invention.
It is an illustration figure of the data structure of. As shown in FIG. 8, in order to determine the condition of the mind value, the reference value of the mind value is set for each job type ID. Then, it may be considered that the similarity is not calculated for the job type ID whose mind value in the individual model is lower than the reference value.

Similarly, in the data structure of the mind condition storage unit 342 as shown in FIG. 8, the mind value in the individual model is not excluded, but the occupation value ID in which the mind value in the individual model is less than the reference value is not excluded. Within a certain range around the value (for example, -10 around the standard value)
It is also conceivable to exclude job IDs within the range of 10).

Based on these conditions, it is possible to shorten the calculation processing time for calculating the degree of similarity and eliminate wasteful work IDs that do not need to calculate the degree of similarity in advance. It is also possible to prevent consumption of computer resources.

Next, the character base narrowing processing unit 3
At 43, the occupation model to be compared and contrasted is further narrowed down based on the character value of the individual model. That is, the conditions for narrowing down the conditions are stored in the character condition storage unit 34.
4 is stored and collated with the character value read from the character value storage unit 30, so that only the job type model that matches the condition is extracted.

FIG. 9 shows the character condition storage unit 34 in the suitable job determination support system according to the first embodiment of the present invention.
It is a data structure illustration of FIG. As shown in FIG. 9, a required numerical value range is set for each character item (represented by a number with a circle in FIG. 9) for each job type ID. Therefore, for each individual model, even for one of all character items, the similarity is not calculated for the job type ID that is out of the set numerical range. By doing so, it is possible to shorten the calculation processing time for calculating the degree of similarity and prevent wasteful consumption of computer resources.

Next, the capability base narrowing processing unit 345 further narrows down the job type models to be compared and contrasted based on the capability value of the individual model. That is, the conditions for narrowing down are stored in the capability condition storage unit 346, and by collating with the capability values read from the capability value storage unit 32, only the job type models that match the conditions are extracted.

Specifically, the capability value storage unit 32
When reading from, 5 items with high capability values and 5 items with low capability values for each subject are extracted together with their respective capability values. The number of items with high capability values and low items with respect to each individual subject is not particularly limited to “5”, and it is sufficient if at least “3” or more. Then, the necessary capability items and the unnecessary capability items are read from the capability condition storage unit 346 for each job model narrowed down to this point.

FIG. 10 is a diagram showing an example of the data structure of the capability condition storage unit 346 in the suitable job determination support system according to the first embodiment of the present invention. As shown in FIG. 10, the capability condition storage unit 346 stores five required capability items and five unnecessary capability items among the capability items (denoted by circles in FIG. 10) for each job type ID. One is registered. The number of necessary capability items and unnecessary capability items is not particularly limited to “5”, but it is preferably at least “3” or more.

Then, by comparing the five items with high capability values for each individual subject and the five required capability items for each job type ID, the job IDs with matching capability items of '2' or less (less than half) are selected. Exclude. By doing so, it is possible to prevent the person from being judged to be a suitable job even though he / she does not have much necessary ability.

Next, by comparing five items with low capability values for each subject and five unnecessary capability items for each job type ID, job types with matching capability items of '2' or less (less than half) Remove the ID. By doing so, it is possible to avoid being judged to be a suitable job even though he or she has a considerable amount of unnecessary abilities.

The criteria for narrowing down the capability base (such as "less than half") are not limited to the above-mentioned criteria, and can be set freely according to the degree of narrowing down. It is possible.

Then, at the time when the job models to be compared and contrasted are narrowed down, the capability value deviation value calculation unit 347 expresses the variation of the capability value itself in the individual model read from the capability value storage unit 32. The deviation value is calculated for each capability item. Specifically, the standard deviation is calculated from the capability value in the individual model, and the deviation value is calculated for each capability item.

After that, the similarity calculation unit 348 calculates the similarity by comparing it with the job model stored in the job model storage unit 35. Here, the compared job models will be described. Figure 11
FIG. 3 is an exemplary diagram of a job type model registered in a job type model storage unit 35 in the suitable job determination support system according to the first exemplary embodiment of the present invention.

As shown in FIG. 11, the occupation type model storage unit 3
In FIG. 5, the capability value for each capability item (represented by a number with a circle in FIG. 11) for each job type and job ID is represented by a deviation value. Capability values that are judged to be optimal from past statistical information are set for each job model.

Further, the reason that the capability value is represented by the deviation value is because the degree of variation of the capability item is to be compared, and the absolute value of the capability value is not compared.

Since the required capability value differs depending on the job type, when registering in the job type model storage unit 35, unnecessary capability items are registered as blank fields.

Next, a method of calculating the degree of similarity will be described. First, as shown in FIG. 12, for each capability item, the deviation value (A, B, C, ...) Of the individual model
And the deviation values (a, b, c,
・ ・) And compare the ratio (A / a, B / b, C / c,
・ ・) Is calculated as the similarity for each item. In this case, the item-by-item similarity is not calculated for capability items in which the deviation value of the job model is blank.

Then, the total number of capability items for which item-wise similarity is calculated is n (n is a natural number), the deviation value of the individual model for each capability item is σ _Si , and the deviation value of the job type model for each capability item is If σ _mi is set (i is a natural number), the required similarity P can be calculated by (Equation 1).

[0070]

[Equation 1] Therefore, the closer the value of the degree of similarity P is to “1”, the more similar the individual model is to the job model that is the object of comparison.

Finally, the job type model selection / transmission unit 36 selects the job type model determined to have the highest degree of similarity as a job suitable for the subject, and transmits it to the subject terminal 1 as a result. At the same time, the mind value, character value, and capability value of the subject are also charted and transmitted.

Examples of output results that the subject can receive at the subject terminal 1 are shown in FIGS. 13 to 16. 13 shows an example of a graph charting the mind value of the subject, FIG. 14 shows an example graph charting the character value, and FIG. 15 shows an example graph charting the capability value.

FIG. 16 is a view showing an example of a screen display of the output result in the suitable employment judgment support system according to the first embodiment of the present invention. As shown in FIG. 16, in the job content display area 161, the job model with the highest degree of similarity is displayed, and the job content in the job model, the applicable industry, and information such as required specialized skills and required qualifications are also displayed. Display at the same time. Further, by pressing the NEXT button 162, similar display can be performed for the job model having the next highest degree of similarity.

By pressing the mind button 163, the character button 164, and the capability button 165, it is possible to display graphs as shown in FIGS. 13, 14 and 15, respectively. The result output screen is not particularly limited to these, and a single window or a multi-window may be used.

The flow of program processing in the aptitude determination server 2 necessary to realize the above functions will be described with reference to FIG. FIG. 17 is a flow chart of processing in the suitable job determination server 2 in the suitable job determination support system according to the first exemplary embodiment of the present invention. In FIG. 17,
It describes the processing after the answers to the questions are sent from the subject terminal 1, and also describes the processing when selecting the optimum job category model.

In FIG. 17, first, the input data from the subject terminal 1 is received (step S1701). Then, the mind value is calculated based on the input data (step S1702), and the character value is calculated (step S170).
1703), and the capability value is calculated (step S
1704).

Next, after the individual model is generated (step S1705), the job type models to be compared are narrowed down based on the mind value, the character value and the capability value (step S1706). Then, a job model to be compared first is arbitrarily selected from the narrowed job models (step S1707).

Then, the similarity is calculated based on the capability values of the individual model and the job type model (step S1708) and compared with the similarity stored in the temporary storage area (step S1709). The calculated similarity is
If the similarity is closer to “1” than the similarity stored in the temporary storage area (step S1709: YES), the calculated similarity and the job type model name or job ID are stored in the temporary storage area (step S1709). S1710).

The above processing is repeatedly executed while sequentially selecting job models (step S1712), and the similarity is calculated for all job models (step S17).
1711: Yes), as the optimum job model, the job model name or job ID stored in the temporary storage area
Will be transmitted to the subject terminal 1 (step S17).
13).

As described above, according to the first embodiment, by using the mind value, the character value, and the capability value, which are indexes for objectively judging the potential of the subject, the potential outward appearance of the subject The degree, temper, and ability can be appropriately evaluated, and it becomes possible to select the most suitable job model while ensuring objectivity.

In the first embodiment, the ASP
(Application Service Provider) A case has been described in which all functions are concentrated on the job qualification server 2 assuming a service or the like, but the invention is not particularly limited to this, and for example, a JAVA (registered trademark) script or the like. All the functions may be executed on the subject terminal 1 by using the personal computer, or the individual model generation may be performed on the subject terminal 1, and only the functions of model matching and optimum job type model selection may be performed by the aptitude determination server 2. It may be done.

(Second Embodiment) Next, a suitable employment determination support system according to a second embodiment of the present invention will be described with reference to the drawings. The entire system configuration diagram can be represented by FIG. 1 as in the first embodiment. The difference from the first embodiment is that the information input from the subject terminal is not the potential information of the individual subject but the information about the subjective intention of the subject.

Therefore, there is a slight difference in the configuration of the aptitude determination server 2. FIG. 18 is a configuration diagram of the suitable job determination server 2 in the suitable job determination support system according to the second exemplary embodiment of the present invention. The same components as those of the suitable job determination server 2 shown in FIG. 3 are designated by the same reference numerals, and detailed description thereof will be omitted.

In FIG. 18, first, the information input from the input screen of the subject terminal 1 is the input data receiving unit 2
Received at 5. The input information is stored in the input data storage unit 26, and is used for calculating the Wants value which is an index for judging the desired job type of each subject. In the second embodiment, the input information is temporarily stored and then processed, but the present invention is not limited to this, and the input data storage unit 26 is not provided and the input information is sequentially processed. May be

The wants value calculation unit 181 calculates a wants value, which is an index for determining the type of work desired by the subject, based on the input data. The wants value is divided into a plurality of items, and the ability required for the subject's wish is evaluated by the magnitude of the absolute value of each item. Therefore, the content of the item matches the capability value.

Specifically, a plurality of items representing abilities such as "continuation inventive step" and "knowledge application ability" are prepared, and it is decided which item each proficiency affects. deep. Then, the wants value for each item is obtained by adding the input value for the question as the item value indicating the ability.

For example, if the question is "I would like to make an effort to buy work methods and products in order to respond to changes and progress in the market and environment," I would like to say "incremental continuity". By adding the input value to the item, the item “continuous inventive step” is emphasized. Further, with respect to the other items such as “value judgment power” and “flexibility correspondence power”, so-called weighted addition, in which the input value is multiplied by a certain subtraction coefficient and then added, can be performed. The method of calculating the wants value is not limited to this. The wants value calculated for each item is stored in the wants value storage unit 182.

FIG. 19 shows an example of the data structure of the wants value storage unit 182 in the suitable employment determination support system according to the second embodiment. As shown in FIG. 19, the user ID
The wants value for each wants item (denoted by a number with a circle in FIG. 19) is stored as a value with a perfect score of "100" for each wants item.

Then, the desired sample model generator 183
At, the desired sample model is generated based on the wants value stored in the wants value storage unit 182. The desired sample model is the same as the individual model in the first embodiment, but is different only in that it is constituted by only Wants values. In addition, in the second embodiment, the desired sample model storage unit for storing the desired sample model is not provided, because the Wants value as a parameter is not particularly processed. As a desired sample model, if you want to perform some processing on Wants value and generate another parameter,
It is preferable to provide a desired sample model storage unit separately.

Then, in the job model similarity calculating unit 34, the generated desired sample model is compared with the job model registered in advance in the job model storing unit 35 to show the degree of similarity. The degree of similarity is the first embodiment.
It will be calculated in the same manner as. Details are omitted because the “individual model” described in the first embodiment is treated as a “desired sample model”.

The difference from the first embodiment is that the job type models to be compared are not narrowed down.
That is, the deviation value is calculated for each wants item in order to represent the variation of the wants value itself in the desired sample model without particularly narrowing down the occupation model to be compared and contrasted. Specifically, the standard deviation is obtained from the wants value in the desired sample model, and the deviation value is calculated for each wants item.

Thereafter, similar to the first embodiment, the degree of similarity is calculated by comparing with the job model stored in the job model storage unit 35. The method of calculating the similarity is the same as that in the first embodiment.

Finally, the job type model selection / transmission unit 36 selects the job type model determined to have the highest degree of similarity as the job type desired by the subject, and transmits it to the subject terminal 1 as a result. At the same time, the wants value of the subject will be charted and sent.

20 and 21 show examples of output results that the subject can receive at the subject terminal 1. FIG. 20 shows an example of a graph in which the Wants value of the subject is charted.
Further, FIG. 21 is an exemplary diagram of a screen display of an output result in the suitable employment determination support system according to the second exemplary embodiment of the present invention. As shown in FIG. 21, in the job content display area 211, the job model with the highest degree of similarity is displayed, and the job content in the job model, the applicable industry, and information such as required specialized skills and required qualifications are also displayed. Display at the same time. Further, by pressing the NEXT button 212, the same display can be performed for the job type model having the next highest degree of similarity.

By pressing the wants button 213, it is possible to display a graph as shown in FIG. The result output screen is not particularly limited to these, and a single window or a multi-window may be used.

The flow of program processing in the suitable employment determination server 2 required to realize the above functions will be described with reference to FIG. FIG. 22 is a flow chart of processing in the suitable job determination server 2 in the suitable job determination support system according to the second exemplary embodiment of the present invention. In FIG. 22,
It describes the processing after the answers to the questions are transmitted from the subject terminal 1, and also describes the processing in the case of selecting the optimum desired job model.

In FIG. 22, first, the input data from the subject terminal 1 is received (step S2201). Then, the wants value is calculated based on the input data (step S2202).

Next, after the desired sample model is generated (step S2203), the job model to be compared first is arbitrarily selected (step S2204).

Then, the similarity is calculated based on the wants value (capability value) of each of the desired sample model and the job type model (step S2205), and the similarity is compared with the similarity stored in the temporary storage area (step S220).
6). When the calculated similarity is closer to “1” than the similarity stored in the temporary storage area (step S22
06: Yes), and stores the calculated similarity and the job type model name or the job ID in the temporary storage area (step S2207).

The above processing is repeatedly executed while sequentially selecting job models (step S2209), and when the similarity is calculated for all job models (step S2).
2208: Yes), as the optimum desired job model, the job model name or job ID stored in the temporary storage area is transmitted to the subject terminal 1 (step S).
2210).

As described above, according to the second embodiment, by using the Wants value which is an index for objectively judging the wishes of the subject, the ability required of the subject can be appropriately evaluated. Thus, it becomes possible to easily establish the direction of the carrier path.

Note that, as shown in FIG. 23, the program for realizing the suitable employment determination support system according to the embodiment of the present invention only needs to be a portable recording medium 232 such as a CD-ROM 232-1 or a flexible disk 232-2. Instead, another storage device 231 provided at the end of the communication line, a recording medium 2 such as a hard disk or a RAM of the computer 233.
It may be stored in any of 34, and when the program is executed, the program is loaded and executed on the main memory.

As for the mind value, the character value, the capability value, etc. generated by the suitable employment judgment support system according to the embodiment of the present invention, as shown in FIG. 23, the CD-ROM 232-1 and the flexible disk 232- 2 and other portable recording media 232, as well as another storage device 231 provided at the end of the communication line, a recording medium 23 such as a hard disk or RAM of the computer 233.
It may be stored in any one of No. 4 and read by the computer 233 when using the suitable employment determination support system according to the present invention.

[0104]

As described above, according to the employment judgment support system of the present invention, the mind value, the character value, which is an index for objectively judging the potential of the subject,
By using the and capability values, it is possible to appropriately evaluate the subject's potential degree of outwardness, temper, and ability, and it is possible to select an optimal job model while ensuring objectivity.

Further, according to the suitable employment determination support system of the present invention, by using the Wants value which is an index for objectively judging the wishes of the subject, the ability required of the subject can be appropriately evaluated. Thus, it becomes possible to easily establish the direction of the carrier path.

[Brief description of drawings]

FIG. 1 is a configuration diagram of a suitable job determination support system according to a first exemplary embodiment of the present invention.

FIG. 2 is an exemplary diagram of an input screen in the suitable employment determination support system according to the first exemplary embodiment of the present invention.

FIG. 3 is a configuration diagram of a suitable job determination server in the suitable job determination support system according to the first exemplary embodiment of the present invention.

FIG. 4 is an exemplary diagram of a data structure of a mind value storage unit in the suitable job determination support system according to the first exemplary embodiment of the present invention.

FIG. 5 is an exemplary diagram of a data structure of a character value storage unit in the suitable job determination support system according to the first exemplary embodiment of the present invention.

FIG. 6 is a data structure example diagram of a capability value storage unit in the suitable employment determination support system according to the first exemplary embodiment of the present invention.

FIG. 7 is a configuration diagram of a job type model similarity calculation unit in the suitable job determination support system according to the first exemplary embodiment of the present invention.

FIG. 8 is an exemplary diagram of a data structure of a mind condition storage unit in the suitable job determination support system according to the first exemplary embodiment of the present invention.

FIG. 9 is an exemplary diagram of a data structure of a character condition storage unit in the suitable job determination support system according to the first exemplary embodiment of the present invention.

FIG. 10 is an exemplary diagram of a data structure of a capability condition storage unit in the suitable job determination support system according to the first exemplary embodiment of the present invention.

FIG. 11 is a data structure example diagram of a job type model storage unit in the suitable job determination support system according to the first exemplary embodiment of the present invention.

FIG. 12 is an explanatory diagram of a similarity calculation method in the suitable job determination support system according to the first exemplary embodiment of the present invention.

FIG. 13 is a view showing an example of a mind value display in the suitable employment determination support system according to the first embodiment of the present invention.

FIG. 14 is a view showing an example of character value display in the suitable job determination support system according to the first exemplary embodiment of the present invention.

FIG. 15 is a view showing an example of capability value display in the suitable job determination support system according to the first exemplary embodiment of the present invention.

FIG. 16 is a view showing an example of an output screen in the suitable employment determination support system according to the first exemplary embodiment of the present invention.

FIG. 17 is a flow chart of processing of a suitable employment determination server in the suitable employment determination support system according to the first exemplary embodiment of the present invention.

FIG. 18 is a configuration diagram of a suitable job determination server in the suitable job determination support system according to the second exemplary embodiment of the present invention.

FIG. 19 is an exemplary diagram of a data structure of a wants value storage unit in the suitable employment determination support system according to the second embodiment of the present invention.

FIG. 20 is a view showing an example of a wants value display in the suitable employment determination support system according to the second embodiment of the present invention.

FIG. 21 is a view showing an example of an output screen in the suitable employment determination support system according to the second embodiment of the present invention.

FIG. 22 is a flow chart of processing of an aptitude determination server in the aptitude determination support system according to the second embodiment of the present invention.

FIG. 23 is an exemplary diagram of a computer environment.

[Explanation of symbols]

1 Subject Terminal 2 Job Approval Server 3 Internet 11 ID Input Area 12 Password Input Area 13 Question Item Display Area 14 Answer Button Input Area 15 Confirm Button 21 User Authentication Section 22 Question Sending Section 23 Question Storage Section 24 Evaluation Value Calculation Information Storage Section 25 Input data reception unit 26 Input data storage unit 27 Mind value calculation unit 28 Mind value storage unit 29 Character value calculation unit 30 Character value storage unit 31 Capability value calculation unit 32 Capability value storage unit 33 Individual model generation unit 34 Job type model similarity calculation Part 35 Job Model Storage 36 Job Model Selection / Sending 161, 211 Job Content Display Area 162, 212 NEXT Button 163 Mind Button 164 Character Button 165 Capability Button 181 Wants Value Calculator 182 Wants Value Storage 1 83 Desired sample model generation unit 213 Wants button 231 Line destination storage device 232 Portable recording medium 232-1 CD-ROM, flexible disk or the like 232-1 CD-ROM 232-2 Flexible disk 233 Computer 234 Computer 234 such as RAM / hard disk Recording medium 341 Mind base narrowing processing unit 342 Mind condition storage unit 343 Character base narrowing processing unit 344 Character condition storage unit 345 Capability narrowing processing unit 346 Capability condition storage unit 347 Personal model capability value deviation value calculation unit 348 Similarity calculation unit

Claims (21)

[Claims] 1. A employment judgment support system in which a subject terminal used by a subject who inputs information about himself to obtain employment information and a employment judgment server for judging employment based on the aptitude information are connected via a network. In the system, the aptitude determination server is an input data receiving unit that receives information input from the subject terminal, and a mind that is an index for evaluating an attitude of an individual to tackle an event based on the input information. A mind value calculation unit that calculates a value, a character value calculation unit that calculates a character value that is an index for evaluating the temper formed and fixed to an individual based on the input information, and based on the input information A capability value calculation unit that calculates a capability value that is an index for evaluating an individual's potential ability, the mind value, the Character value, and based on the capability value, a personal model generation unit that generates an individual model as an index for comparing with a previously registered occupation model, comparing the individual model and the occupation model, A job model similarity calculator that calculates a job model similarity indicating the degree of similarity, and a job model selection that transmits the job model having the highest similarity to the subject terminal based on the job model similarity. A suitable employment determination support system including a transmission unit. 2. The occupation model similarity calculator
The suitable job determination support according to claim 1, wherein, before calculating the job type model similarity, the job model for which the similarity is calculated is narrowed down based on the mind value, the character value, and the capability value. system. 3. The job model and the personal model are indicated by parameters quantified for a plurality of items, and the job model similarity calculator calculates the parameters of the individual model for the parameters of the same item by the job type. It divides by the parameter of the model, calculates the average value of a plurality of division results for a plurality of items, and in the job type model selection / transmission unit, the closer the average value of the division results is to 1, the higher the similarity is. The suitable employment judgment support system according to claim 1 or 2, which judges. 4. A suitable employment determination support system in which a subject terminal used by a subject who inputs information about himself / herself to obtain suitable employment information and a suitable employment determination server for determining suitable employment based on the aptitude information are connected via a network. In the system, the aptitude determination server is an index for determining an occupation type desired by an individual based on the input data receiving unit that receives information input from the subject terminal and the input information. A wants value calculator for calculating a wants value, a desired sample model generator for generating a desired sample model as an index for comparing with a previously registered occupation model based on the wants value, and the desired sample model And a job type model similarity calculation unit that calculates a job type model similarity indicating the degree of similarity between the job type model and the job type model; A job type model selection / transmission unit that selects a job model having the highest similarity based on the job model similarity and transmits the job model to the subject terminal. 5. The job model and the desired sample model are indicated by parameters quantified for a plurality of items, and the job model similarity calculator calculates the parameters of the desired sample model for the parameters of the same item. Divide by the parameter of the job model, calculate an average value of a plurality of division results for a plurality of items, and in the job model selection / transmission unit, the similarity is higher as the average value of the division results is closer to 1. The suitable employment determination support system according to claim 4, which is determined to be one. 6. A employment judgment support system in which a subject terminal used by a subject who inputs information about himself to obtain employment information and a employment judgment server for judging employment based on the aptitude information are connected via a network. In the system, the subject terminal calculates a mind value, which is an index for evaluating a person's attitude toward an event, based on a personal data input unit for inputting information about himself and the inputted information about himself. A mind value calculation unit, a character value calculation unit that calculates a character value that is an index for evaluating the temper formed and fixed to an individual based on the input information about the self, and based on the input information about the self A capability value calculation unit that calculates a capability value that is an index for evaluating an individual's potential ability, and An individual model generation unit that generates an individual model as an index for comparing with a previously registered occupation model based on the mind value, the character value, and the capability value, and the generated individual model as the suitable job. An individual model transmitting unit for transmitting to the determination server, and an optimal occupation model receiving unit for receiving an optimal occupation model from the appropriate occupation determination server, wherein the appropriate occupation determination server compares the individual model with the occupation type model. A job model similarity calculator that calculates the job model similarity indicating the similarity, and a job model that selects the job model with the highest similarity based on the job model similarity and transmits the job model to the subject terminal. A suitable employment determination support system including a selection / transmission unit. 7. The occupation model similarity calculator
The suitable job determination support according to claim 6, wherein before calculating the job type model similarity, the job model for which the similarity is calculated is narrowed down based on the mind value, the character value, and the capability value. system. 8. A employment judgment support system in which a subject terminal used by a subject who inputs information about himself / herself to obtain employment information and a employment determination server which determines employment based on the aptitude information are connected via a network. In the system, the subject terminal calculates a wants value, which is an index for determining a job type desired by an individual, based on a personal data input unit for inputting information about the self and the input information about the self. A wants value calculation unit, a desired sample model generation unit that generates a desired sample model as an index for comparing with a previously registered occupation model based on the wants value, and the generated desired sample model. A desired sample model transmission unit for transmitting to the suitable proficiency determination server, and an optimal job type model received from the suitable proficiency determination server An optimal job model receiving unit that performs, the suitable job determination server, the job model similarity calculation unit that calculates the job model similarity indicating the degree of similarity by comparing the desired sample model and the job model, A job type model selection / transmission unit that selects a job model having the highest degree of similarity based on the job model similarity and transmits the job model to the subject terminal. 9. A computer environment in which a subject terminal used by a subject who inputs information about himself / herself to obtain suitable employment information and a suitable employment judgment server for judging suitable employment based on the suitability information are connected via a network. A suitable employment determination support method, wherein the suitable proficiency determination server receives information input from the subject terminal, and a mind that is an index for evaluating an attitude of an individual to tackle an event based on the input information. A step of calculating a value, a step of calculating a character value, which is an index for evaluating the temper formed and fixed to an individual, based on the input information, and a potential of the individual based on the input information A capability value, which is an index for evaluating various abilities, the mind value, the character value, and the capability Based on the value, a step of generating an individual model as an index for comparing with a previously registered occupation model, comparing the individual model with the occupation model, and a occupation model similarity indicating the degree of similarity And a step of selecting a job model having the highest similarity based on the job model similarity and transmitting the job model to the subject terminal. 10. In the step of calculating the job type model similarity, before calculating the job type model similarity, the similarity calculation target is calculated based on the mind value, the character value, and the capability value. 10. The suitable job determination support method according to claim 9, wherein the job type models are narrowed down. 11. The job model and the personal model are shown by parameters quantified for a plurality of items, and the parameters of the same model are divided by the parameters of the job model to obtain a plurality of parameters of the same item. The suitable employment determination support method according to claim 9 or 10, wherein an average value of a plurality of division results for an item is calculated, and the similarity is higher as the average value of the division results is closer to 1. 12. A computer environment in which a subject terminal used by a subject who inputs information about himself to obtain suitable employment information and a suitable employment determination server for determining suitable employment based on the suitability information are connected via a network. A suitable employment determination support method, wherein the suitable employment determination server is a step of receiving information input from the subject terminal, and an index for determining a job type desired by an individual based on the input information. Calculating a wants value; generating a desired sample model as an index for comparing with a previously registered occupation model based on the wants value; comparing the desired sample model with the occupation model And calculating a job model similarity indicating the degree of similarity, and the highest similarity based on the job model similarity. A method for selecting a suitable job model and transmitting the selected job model to the subject terminal. 13. The job category model and the desired sample model are indicated by parameters quantified for a plurality of items, and the parameters of the desired sample model are divided by the parameters of the job category model for the parameters of the same item, 13. The suitable employment determination support method according to claim 12, wherein an average value of a plurality of division results for a plurality of items is calculated, and the closer the average value of the division results is to 1, the higher the similarity is. 14. A computer environment in which a subject terminal used by a subject who inputs information about oneself to obtain suitable employment information and a suitable employment determination server for determining suitable employment based on the suitability information are connected via a network. A method for supporting a suitable job, wherein the subject terminal calculates a mind value, which is an index for evaluating an individual's attitude toward an event, based on the step of inputting information about the self and the input information about the self. A step of calculating a character value, which is an index for evaluating the temper formed and fixed to an individual, based on the input information about the self; and the potential of the individual based on the input information about the self. Calculating a capability value that is an index for evaluating various abilities, the mind value, the character value, and Generating an individual model as an index for comparison with a previously registered occupation model based on the capability value; transmitting the generated individual model to the appropriate occupation determination server; A step of receiving an optimum job model from a server, wherein the suitable job determination server compares the individual model with the job model, and calculates a job model similarity indicating the degree of similarity, A method of selecting a job model having the highest similarity based on the job model similarity and transmitting the job model to the subject terminal. 15. In the step of calculating the job type model similarity, before calculating the job type model similarity, the similarity is calculated based on the mind value, the character value, and the capability value. 15. The suitable employment determination support method according to claim 14, wherein the job type models are narrowed down. 16. A computer environment in which a subject terminal used by a subject who inputs information about himself / herself to obtain suitable employment information and a suitable employment judgment server for judging suitable employment based on the suitability information are connected via a network. A suitable employment determination support method, wherein the subject terminal inputs information about oneself, and calculates a wants value, which is an index for determining a job type desired by an individual, based on the input information about oneself. And a step of generating a desired sample model as an index for comparing with a job type model registered in advance based on the wants value, and transmitting the generated desired sample model to the aptitude determination server. And a step of receiving an optimal job type model from the suitable job determination server, wherein the suitable job determination server is The step of comparing the desired sample model with the occupation model, calculating the occupation model similarity indicating the degree of similarity, and selecting the occupation model with the highest similarity based on the occupation model similarity, And a step of transmitting to a subject terminal. 17. A computer environment in which a subject terminal used by a subject who inputs information about himself to obtain suitable employment information and a suitable employment determination server for determining suitable employment based on the suitability information are connected via a network. A program executed by a computer that embodies an aptitude determination support method, wherein in the aptitude determination server, a step of receiving information input from the subject terminal, and based on the input information, a personal event Calculating a mind value, which is an index for evaluating the approach attitude; calculating a character value, which is an index for evaluating the temper formed and fixed to the individual, based on the input information; Based on the information, calculate the capability value that is an index to evaluate the potential ability of an individual Step, based on the mind value, the character value, and the capability value, a step of generating an individual model as an index for comparing with a previously registered job model, the individual model and the job model And a step of calculating a job category model similarity indicating the degree of similarity, and a step of selecting a job category model having the highest similarity based on the job category model similarity and transmitting the job model to the subject terminal. A program that causes a computer to execute. 18. In the step of calculating the job type model similarity, before calculating the job type model similarity,
The program to be executed by a computer according to claim 17, wherein the job model for which the similarity is to be calculated is narrowed down based on the mind value, the character value, and the capability value. 19. The occupation model and the individual model are indicated by parameters quantified for a plurality of items, and for the parameters of the same item, the parameters of the individual model are divided by the parameters of the occupation model to obtain a plurality of parameters. 19. The program to be executed by a computer according to claim 17, wherein an average value of a plurality of division results for an item is calculated, and the similarity is higher as the average value of the division results is closer to 1. 20. In a computer environment in which a subject terminal used by a subject who inputs information about himself to obtain suitable employment information and a suitable employment determination server for determining suitable employment based on the suitability information are connected via a network. It is a program to be executed by a computer that embodies an aptitude determination support method, wherein in the aptitude determination server, a step of receiving information input from the subject terminal, and based on the input information Calculating a wants value, which is an index for determining the occupation type, and generating a desired sample model as an index for comparison with a previously registered occupation type model based on the wants value; Job model similarity indicating the degree of similarity by comparing the sample model with the job model Calculating, based on the job model similarity, most of high similarity job model selected, a program to be executed by a computer, which comprises a step of transmitting to the subject terminal. 21. The job model and the desired sample model are shown by parameters quantified for a plurality of items, and the parameters of the desired sample model are divided by the parameters of the job model for parameters of the same item, 21. The program executed by a computer according to claim 20, wherein an average value of a plurality of division results for a plurality of items is calculated, and the similarity is higher as the average value of the division results is closer to 1.