JP5454876B2 - Data matching device - Google Patents

Description

  The present invention relates to a data matching apparatus, and more particularly to a technique for obtaining a matching value that represents a degree of matching for two pieces of data each having an evaluation value for the same plurality of evaluation items.

  2. Description of the Related Art Conventionally, a system for matching a recruiting company and a job seeker using a network such as the Internet has been provided. The most typical is that the recruiting company presents job information such as industry, type of job, location, salary, etc. on the broker's website, and the job seeker browses this to find a place that suits his / her wishes. It is a system of the mechanism. The job seeker uses the function of this system to send an application email to a recruiting company that suits his / her wishes. Then, the recruiting company examines / determines whether the job seeker who has sent the application email is a person who satisfies the company's request. In this type of system, when a job seeker finds a place that suits his / her wish from among the recruiting companies that have registered job information, the user can enter the desired condition as a search keyword and perform a search and view the search result. There is something that was done.

  Also, while recruiting companies register job information from specialized sites on the server, job seekers register resume information from the specialized sites on the server and calculate the degree of fit between each item of job information and each item of resume information. In addition, a system that matches job seekers with job applicants having a degree of conformance greater than a certain value has been proposed. According to this type of matching system, job seekers can browse job information and consider whether it meets their wishes, or whether the job seeker is a person who meets their needs by checking resume information. It is possible to perform matching of human resources that meet the needs of both parties without considering the above.

  However, even if this type of matching system is used, it is often the case that the interview was not a human resource or a company as desired but a mismatch. One reason for this is that job offer information and resume information alone are not sufficient as a judgment material for appropriately matching job-seeking companies and job seekers. In order to solve such problems, while incorporating the ability and personality that the recruiting company wants to human resources into the job offer information, in addition to resume information, information such as the job seeker's ability and personality is entered to match the two There is also a proposed system.

  In addition to this, a matching system that has been devised to reduce mismatch has been proposed (see, for example, Patent Documents 1 to 3). In the system described in Patent Document 1, job offer side data is created based on answers to a plurality of diagnosis items (related to sales personality and qualities) by an employee in the recruiting company and the superior of the employee. On the other hand, job seeker side data is created based on answers to a plurality of diagnosis items (related to sales characteristics and qualities) by job seekers. Then, these data are collated, and the fitness is calculated from the viewpoints of thinking ability evaluation and behavior ability evaluation.

  In the system described in Patent Document 2, based on each job applicant evaluation information corresponding to each job seeker and job applicant company, the difference between the job applicant evaluation value and the job applicant evaluation value is calculated for each evaluation item, and the absolute value thereof is taken. To calculate a matching index. Further, the standard deviation value of the difference between the evaluation values obtained for each evaluation item is calculated as a matching priority index. A matching value is obtained based on the matching index and the matching priority index.

  In the system described in Patent Document 3, a recruiting company registers recruitment information and desired information in a server from a specialist site of an intermediary, while a job seeker registers resume information and desired information in a server from a specialized site. Enter multiple ranks for the items you want to prioritize in the desired information. Then, while matching the recruiting information of the recruiting company and the desired information of the job seeker, the numerical information is displayed by matching the desired information of the recruiting company and the resume information of the job seeker. By showing the degree of divergence, it is made to contribute to the judgment material at the time of application.

JP 2005-18274 A JP 2005-44280 A JP 2005-352925 A

  In the conventional matching system including the above Patent Documents 1 to 3, an evaluation value is obtained for each of a plurality of evaluation items for each of the recruiting company and the job seeker, and a job offer is made according to the magnitude of the calculated value calculated from each obtained evaluation value. The degree of conformity (or degree of divergence between companies and job seekers, the same applies below) However, there is a problem that the accuracy of the required degree of matching is not sufficient. Although one index representing the total fitness is calculated by calculating the evaluation value obtained for each evaluation item, the index is based on the person image that the job seeker wants the job seeker and the actual job seeker. Or the company image that the job seeker wants from the recruiting company and the actual company image of the recruiting company are only evaluated by a set of evaluation values obtained for each evaluation item. is there.

  Such a problem exists not only in the job matching between the recruiting company and the job seeker, but also in the system for performing the business matching for searching for a business partner and the love / marriage matching for searching for a partner.

  The present invention has been made to solve such a problem, and an object of the present invention is to make it possible to more accurately calculate the fitness of two data having evaluation values for the same plurality of evaluation items. And

In order to solve the above-described problem, in the present invention, a radar chart is generated from each of first data and second data each having an evaluation value for the same plurality of evaluation items, and the first chart is generated from the first data. The area of the graphic represented by one radar chart is x , the area of the graphic represented by the second radar chart generated from the second data is y , the graphic represented by the first radar chart and the second radar chart Z is the area where the figure represented by
A = (y / x) × (z / x)
By this calculation, a matching value between the first data and the second data is calculated.

  According to the present invention configured as described above, a radar chart having a two-dimensional concept of area is generated from individual evaluation values for each evaluation item, and is set as a matching target depending on the overlapping degree of the two radar charts. A matching value between the two data is obtained. For this reason, the whole image of the data having the evaluation value for each evaluation item can be grasped in the form of a surface, and the degree of conformity regarding the two data can be evaluated. As a result, two pieces of data having evaluation values related to the same plurality of evaluation items are compared with the conventional technique in which the fitness of two pieces of data is evaluated based on an index obtained by calculating the evaluation value itself for each evaluation item. Can be calculated with higher accuracy.

It is a block diagram which shows the function structural example of the data matching apparatus by this embodiment. It is a figure which shows an example of the 1st data by this embodiment. It is a figure which shows an example of the 2nd data by this embodiment. It is a figure for demonstrating the calculation method of the matching value by the matching value calculation part of this embodiment. It is a figure for demonstrating the calculation method of the matching value by the matching value calculation part of this embodiment.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a block diagram illustrating a functional configuration example of the data matching apparatus according to the present embodiment. In the present embodiment, of the two objects to be matched, one object (hereinafter referred to as the first object) has the qualities required for the other object (hereinafter referred to as the second object). The matching of the first data representing the request information with the second data representing the qualification information of the second object will be described as an example of data matching.

  As shown in FIG. 1, the data matching apparatus 10 according to the present embodiment has a first data input unit 11, a second data input unit 12, a first radar chart generation unit 13, a second data structure as its functional configuration. A radar chart generation unit 14, a matching value calculation unit 15, and a display unit 16 are provided.

  Each of these functional configuration blocks 11 to 16 can be realized by any of a hardware configuration, a DSP (Digital Signal Processor), and software. For example, when realized by software, the data matching apparatus 10 according to the present embodiment is actually configured by including a CPU or MPU of a computer, RAM, ROM, and the like, and is realized by operating a program stored in the RAM or ROM. it can.

  The first data input unit 11 inputs first data having an evaluation value for each of a plurality of evaluation items. Here, the plurality of evaluation items are items for evaluating the second object using a plurality of different qualities as a starting point. When viewed from the first object, the plurality of evaluation items are items for setting the content of the request for the second object as a plurality of different qualities.

  The evaluation value is obtained by scoring the degree of clearing of the evaluation standard required for the second object in accordance with the evaluation standard set for each evaluation item (quality). For example, when the second object does not clear the evaluation criteria at all, 0 points, and when the second object is completely cleared, for example, 50 points, the degree of clearing the evaluation criteria for each evaluation item. The score is the evaluation value.

  FIG. 2 is a diagram illustrating an example of the first data. In the example of FIG. 2, the first data has six evaluation items, and for each evaluation item, the degree of clearing of the evaluation criteria regarding the qualities that the first object requires for the second object is 50 points. An evaluation value that is scored with a perfect score is set. An evaluation item having a larger evaluation value indicates that the first object has a higher importance as a quality required for the second object.

  The first data input unit 11 inputs the first data having such a configuration, but in this embodiment, the input method is not limited. For example, the data matching device 10 may be configured to be connectable to the Internet (not shown), and the first data may be input from the outside via the Internet. In addition, an input screen for inputting an evaluation value for each evaluation item is displayed on a terminal device (not shown) connected to the Internet, and individual evaluation values given by the user are input via the Internet through the input screen. You may make it do. Or you may make it input by reading the 1st data memorize | stored in the recording medium.

  The second data input unit 12 inputs second data having an evaluation value for each of a plurality of evaluation items. Here, the plurality of evaluation items are the same as the plurality of evaluation items included in the first data. However, when viewed from the second object, the plurality of evaluation items are items for evaluating the second object itself from a plurality of different aspects. That is, the evaluation value in this case is a score obtained by evaluating the second object along the evaluation criteria set for each evaluation item. Similarly to the first data, the second data is set with an evaluation value of 0 points when the second object has not cleared the evaluation criteria at all, and a perfect score of 50 points when the second object is completely cleared. .

  FIG. 3 is a diagram illustrating an example of the second data. As shown in FIG. 3, the second data also has six evaluation items, and for each evaluation item, the degree of clearing the evaluation standard regarding the quality of the second object is scored with a maximum score of 50 points. Value is set. An evaluation item with a larger evaluation value indicates that the second object has a higher standard of clearing its qualities.

  The first radar chart generation unit 13 generates a first radar chart having a plurality of evaluation items as evaluation axes based on the first data input by the first data input unit 11. The second radar chart generation unit 14 generates a second radar chart having a plurality of evaluation items as evaluation axes based on the second data input by the second data input unit 12.

  Based on the first radar chart generated by the first radar chart generator 13 and the second radar chart generated by the second radar chart generator 14, the matching value calculator 15 A matching value between the first data and the second data is calculated.

Specifically, the area of the graphic represented by the first radar chart is x, the area of the graphic represented by the second radar chart is y, and the graphic represented by the first radar chart and the second radar chart are represented. When the area of the portion that overlaps the figure to be displayed is z, the matching value calculation unit 15
A = (y / x) × (z / x) (Formula 1)
A matching value A between the first data and the second data is calculated by the following calculation.

  4 and 5 are diagrams for explaining a method of calculating the matching value A by the matching value calculation unit 15. FIG. 4 is a diagram showing how to obtain the area x of the graphic represented by the first radar chart 21 and the area y of the graphic represented by the second radar chart 22. The radar chart 22 is overlaid on the same evaluation axis.

  Here, the region sandwiched between the evaluation item 1 and the evaluation item 2 is sandwiched between the first quadrant and the region sandwiched between the evaluation item 2 and the evaluation item 3 is sandwiched between the second quadrant, the evaluation item 3 and the evaluation item 4. The area between the evaluation item 4 and the evaluation item 5 is the fourth quadrant, the area between the evaluation item 5 and the evaluation item 6 is the fifth quadrant, the evaluation item 6 and the evaluation item 1 The area between the two is the sixth quadrant.

  Of the area x of the figure (in this embodiment, a hexagon) represented by the first radar chart 21, the area of the first quadrant (the area of a triangle; hereinafter the same applies to the second to sixth quadrants) is x1, When the area of the second quadrant is x2, the area of the third quadrant is x3, the area of the fourth quadrant is x4, the area of the fifth quadrant is x5, and the area of the sixth quadrant is x6, the first radar chart 21 The area x of the figure to be represented is the sum of the triangle areas x1 to x6 in each quadrant. Hereinafter, x is referred to as an entire area, and x1 to x6 are referred to as partial areas.

As shown in the following (Expression 2), the matching value calculation unit 15 calculates the partial areas x1 to x6 of the triangles included in each quadrant, and sums them to obtain the first radar chart 21. The total area x of the figure to be represented is obtained.
x = x1 + x2 + x3 + x4 + x5 + x6 (Formula 2)

The triangular partial area x1 included in the first quadrant is expressed by the following (formula 3) when the evaluation value of the evaluation item 1 relating to the first data is p _x1 and the evaluation value of the evaluation item 2 is p _x2. Desired.
x1 = (p _x1 · p _x2 · sin θ) / 2 (Expression 3)
Here, θ is each degree formed by the axis of the evaluation item 1 and the axis of the evaluation item 2, but since the first radar chart 21 is a regular hexagon, θ = 60 °. The partial areas x2 to x6 of the triangles included in the second to sixth quadrants are obtained in the same manner.

  Similarly, out of the area y of the graphic (hexagonal in this embodiment) represented by the second radar chart 22, the area of the first quadrant is y1, the area of the second quadrant is y2, and the area of the third quadrant is y3. When the area of the fourth quadrant is y4, the area of the fifth quadrant is y5, and the area of the sixth quadrant is y6, the area y of the figure represented by the second radar chart is the triangular area y1 to each quadrant. This is the sum of y6. Hereinafter, y is referred to as an entire area, and y1 to y6 are referred to as partial areas.

As shown in the following (Equation 4), the matching value calculation unit 15 calculates the partial areas y1 to y6 of the triangles included in each quadrant, and sums them to obtain the second radar chart 22 The entire area y of the figure to be represented is obtained.
y = y1 + y2 + y3 + y4 + y5 + y6 (Formula 4)

In addition, the partial area y1 of the triangle included in the first quadrant is expressed by the following (Equation 5) when the evaluation value of the evaluation item 1 regarding the second data is p _y1 and the evaluation value of the evaluation item 2 is _py2. Desired.
y1 = (p _y1 · _py 2 · sin θ) / 2 (Expression 5)
The partial areas y2 to y6 of the triangles included in the second quadrant to the sixth quadrant are obtained in the same manner.

  FIG. 5 is a diagram illustrating how to obtain an area z (hereinafter referred to as an overlapping area) of a portion where the graphic represented by the first radar chart 21 and the graphic represented by the second radar chart 22 overlap. Like the area x of the graphic represented by the first radar chart 21 and the area y of the graphic represented by the second radar chart 22, the matching value calculation unit 15 performs the first radar chart 21 for each quadrant. The overlapping area z1 to z6 of the portion where the graphic represented by the above and the graphic represented by the second radar chart 22 overlap is calculated, and the total overlapping area z is obtained by summing all the overlapping areas z1 to z6 of each quadrant. .

  When obtaining the overlapping areas z1 to z6 of each quadrant, if the evaluation value of either the first data or the second data is large in both the evaluation items of the adjacent axes, the first radar chart 21 is related. The smaller one of the partial areas x1 to x6 of each quadrant and the partial areas y1 to y2 of each quadrant related to the second radar chart 22 becomes the overlapping areas z1 to z6 of the quadrants. In the example of FIG. 5, the overlapping area z1 in the first quadrant and the overlapping area z3 in the third quadrant correspond to this case. Here, since the partial area y1 of the second radar chart 22 is smaller than the partial area x1 of the first radar chart 21 in the first quadrant, y1 = z1. In the third quadrant, on the contrary, x3 = z3.

On the other hand, as in the second quadrant and the fourth to sixth quadrants, among the evaluation items of the adjacent axes, the evaluation value related to the first data becomes large in one evaluation item, and the second evaluation item has the second value. When the evaluation value regarding data becomes large, it is necessary to obtain the overlapping areas z2, z4 to z6 as follows. For example, when obtaining the overlap area z2 of the second quadrant, the axis center point of the radar chart is O, the coordinates corresponding to the evaluation value p _x2 of the evaluation item 2 regarding the first data are P _x2 , and the evaluation value p of the evaluation item 3 the coordinates corresponding to _{x3 P x3,} the second evaluation value _{p y2 P y2} corresponding coordinates to the evaluation item 2 on the data, evaluation values _{p y3} corresponding coordinates _{P y3} evaluation item 3, the first data if two coordinates _{P x2,} sides a1 connecting the _{P x3} the intersection of the sides a2 connecting the second two coordinate related data _{P y2, P y3} and Q relating to the overlapping area z2 of the second quadrant, triangle This is the sum of the area of OQP _{y2 and} the area of triangle OQP _x3 .

Here, when r is the distance from the axial center point O to the intersection point Q, the overlapping area z2 in the second quadrant is expressed by the following (formula 6).
z2 = ( _py2 · r · sin θ1) / 2 + ( _px3 · r · sin θ2) / 2 (Expression 6)
When the intersection point between the straight line a3 connecting the axis center point O and the intersection point Q and the side a4 corresponding to the outermost contour of the second quadrant is R, the intersection point R is an internal division of the side a4 into u1: u2. It becomes a minute point. Here, since the ratio of the magnitudes of θ1 and θ2 coincides with the ratio of the lengths of u1 and u2, θ1 and θ2 can be expressed by the following (Expression 7).
θ1 = 60 ° · {u1 / (u1 + u2)}
θ2 = 60 ° · {u2 / (u1 + u2)} (Expression 7)

Here, how to obtain the variables u1, u2, and r required for obtaining the overlapping area z2 of the second quadrant will be described. First, the matching value calculation unit 15 converts the evaluation values p _x2 , p _x3 , p _y2 , and _py3 represented by the axes and their lengths into absolute coordinates P _x2 , P _x3 , P _y2 , and P _y3 , respectively. . For example, the absolute coordinates _{P x2} evaluation value _{p x2 (P x2 (x)} , P x2 (y)) assuming that expressed by the absolute coordinate of the evaluation value _{p x2} be expressed as follows (Equation 8) Can do.
P _x2 (x) = p _x2 · cos (30 °) = p _x2 · (√3 / 2)
P _x2 (y) = p _x2 · sin (30 °) = p _x2 / 2 (Expression 8)

Similarly, the absolute coordinates P _x3 , P _y2 , and P _y3 of the remaining three evaluation values p _x3 , p _y2 , and p _y3 can be expressed as in the following (formula 9) to (formula 11).
P _x3 (x) = p _x3 · cos (−30 °) = p _x3 · (√3 / 2)
P _x3 (y) = p _x3 · sin (−30 °) = − p _x3 / 2 (Equation 9)
_{P y2 (x) = p y2} · cos (30 °) = p y2 · (√3 / 2)
P _y2 (y) = _{py 2} · sin (30 °) = _{py 2/2} (Expression 10)
P _y3 (x) = _py3 · cos (−30 °) = _py3 · (√3 / 2)
P _y3 (y) = _py3 · sin (−30 °) = − _py3 / 2 (Expression 11)

Next, the matching value calculation unit 15
From the above (Expression 8) to (Expression 11), a linear equation representing the straight line P _x2 P _x3 and a linear equation representing the straight line P _y2 P _y3 are obtained. Then, the matching value calculation unit 15 obtains the coordinates of the intersection point Q between the straight line P _x2 P _x3 (side a1) and the straight line P _y2 P _y3 (side a2) from these two linear equations. By obtaining the coordinates of the intersection point Q, the distance r between the axis center point O and the intersection point Q can be obtained. Further, the matching value calculation unit 15 obtains a linear equation representing a straight line a3 passing through the axis center point O and the intersection point Q.
Here, the matching value calculation unit 15 obtains the intersection R between the straight line a3 (side a4 corresponding to the outermost contour of the second quadrant) passing through the maximum value of the evaluation item 2 and the maximum value of the evaluation item 3, and the straight line a3. And the values of u1 and u2 can also be obtained.

As described above, among the evaluation items 2 and 3 of adjacent axes forming the second quadrant, in one evaluation item 2, the evaluation value p _x2 related to the first data is the evaluation value p _y2 related to the second data. Even if the evaluation value p _y3 related to the second data is larger than the evaluation value p _x3 related to the first data in the other evaluation item 3, these evaluation values p _x2 , p _x3 , If only p _y2 and p _{y3 are} known, the overlapping area z2 in the second quadrant can be obtained. The overlapping areas z4 to z6 can be similarly determined for the fourth quadrant to the sixth quadrant. Then, by summing all the overlapping areas z1 to z6 from the first quadrant to the sixth quadrant, it is possible to obtain the entire overlapping area z.

  The display unit 16 superimposes the first radar chart 21 generated by the first radar chart generation unit 13 and the second radar chart 22 generated by the second radar chart generation unit 14 on the same evaluation axis. To display. That is, the first radar chart 21 and the second radar chart 22 are displayed so as to overlap with each other as shown in FIG. The display unit 16 displays the matching value calculated by the matching value calculation unit 15 together with the first radar chart 21 and the second radar chart 22.

  As described above in detail, in the present embodiment, the matching value of the two data is obtained based on the overlapping degree of the two radar charts 21 and 22 obtained from the two data to be matched. For this reason, it is possible to evaluate the suitability of the two data by capturing the whole image of the data having the evaluation value for each evaluation item in the form of a plane. Thereby, compared with the prior art which evaluated the fitness of two data based on the parameter | index calculated by calculating the evaluation value itself for every evaluation item, a fitness can be calculated more accurately.

  For example, the first data is composed of evaluation values obtained by scoring a person image requested by a job seeking company for each of a plurality of evaluation items such as age, place of residence, skill, work history, general common sense, and personality. Further, the second data is constituted by an evaluation value obtained by scoring the personal image of the job seeker for each of a plurality of evaluation items such as age, place of residence, skill, work history, general common sense, personality and the like. Then, two radar charts are generated from the first data and the second data configured as described above, and a matching value is obtained based on the degree of overlap between them. In this way, it is possible to match job applicant companies and job seekers with a higher degree of fitness, and to reduce job mismatches.

  In addition, the data matching apparatus 10 of the present embodiment can be used for business matching in which a certain company searches for a company that becomes a business partner. That is, the first data is composed of evaluation values obtained by scoring a company image desired by a certain company for each of a plurality of evaluation items. Further, the second data is configured by evaluation values obtained by scoring the company image of the company that is a business partner candidate for each of the same plurality of evaluation items. Then, two radar charts are generated from the first data and the second data configured as described above, and a matching value is obtained based on the degree of overlap between them. In this way, it is possible to realize business matching with a higher fitness.

  In addition to this, the data matching apparatus 10 of this embodiment can be used for love / marriage matching for searching for a partner, or for business transaction matching in which the demand side and the supply side are adjusted to mediate sales and transactions. Thus, matching with a higher degree of matching can be realized.

  In the above embodiment, the area x of the graphic represented by the first radar chart 21, the area y of the graphic represented by the second radar chart 22, and the overlapping area z of both figures are calculated for each quadrant, Although the total matching value is calculated from the total area obtained by adding all the areas of the individual quadrants, the present invention is not limited to this. For example, in addition to the overall matching value, the matching value for each quadrant may be calculated from the area of each quadrant.

  In this way, in addition to evaluating the suitability from the whole image for the two data representing the matching object, from the partial image in each quadrant (specifically, two evaluation items forming the quadrant). Can also assess the fitness. That is, in addition to the whole image, if there is a partial image that is particularly important for matching, the degree of fitness can be calculated with high accuracy even for a partial image having a high importance.

  Here, when the radar chart is generated, the matching value for each quadrant changes depending on which evaluation item is set for the adjacent axis, so that the user can use the operation unit (not shown) to set which evaluation item for which axis. Z) may be changed arbitrarily. For example, when there are two evaluation items that are particularly important, and the two are set as adjacent axes, the user can use a matching value calculated with high accuracy calculated for the quadrant formed by the two axes. In addition, it is possible to accurately grasp the degree of fitness for the partial image that is to be regarded as important.

  Further, the matching value of the specific area may be calculated from the total area obtained by adding the areas of a plurality of quadrants specified from all the quadrants in addition to the entire matching value of all the quadrants. The plurality of quadrants (specific areas) for totaling the areas may be fixed quadrants specified in advance, or arbitrarily specified by a user operating an operation unit (not shown). Also good. In this way, when there are three or more evaluation items to be particularly emphasized, it is possible to accurately obtain the degree of matching for the partial image represented by the evaluation values of the three or more evaluation items.

Further, the matching value A may be calculated by the following equation (12) instead of the above (equation 1).
A = A1 + A2 + A3 + A4 + A5 + A6 (Formula 12)
A1 = (y1 / x1) × (z1 / x1) × α1
A2 = (y2 / x2) × (z2 / x2) × α2
A3 = (y3 / x3) × (z3 / x3) × α3
A4 = (y4 / x4) × (z4 / x4) × α4
A5 = (y5 / x5) × (z5 / x5) × α5
A6 = (y6 / x6) × (z6 / x6) × α6

  Here, A1 to A6 are matching values calculated for each quadrant, and α1 to α6 are weighting parameters for each quadrant. The weighting parameters α1 to α6 allow the user to set arbitrary values for the data matching apparatus 10 using an operation unit (not shown). In this way, the degree of freedom can be given to the evaluation by increasing the weight of the quadrant to be particularly emphasized as the evaluation or by setting the opposite.

  In addition, each of the above-described embodiments is merely an example of implementation in carrying out the present invention, and the technical scope of the present invention should not be construed in a limited manner. In other words, the present invention can be implemented in various forms without departing from the spirit or main features thereof.

DESCRIPTION OF SYMBOLS 10 Data matching apparatus 11 1st data input part 12 2nd data input part 13 1st radar chart production | generation part 14 2nd radar chart production | generation part 15 Matching value calculation part 16 Display part

Claims (4)

A first data input unit for inputting first data having an evaluation value for each of a plurality of evaluation items;
A second data input unit for inputting second data having an evaluation value for each of the plurality of evaluation items;
A first radar chart generating unit that generates a first radar chart having the plurality of evaluation items as evaluation axes based on the first data input by the first data input unit;
A second radar chart generator for generating a second radar chart having the plurality of evaluation items as evaluation axes based on the second data input by the second data input unit;
The area of the graphic represented by the first radar chart is represented by x , the area of the graphic represented by the second radar chart is represented by y , the graphic represented by the first radar chart and the second radar chart. Let z be the area where the figure overlaps ,
A = (y / x) × (z / x)
By comprising operation, the data matching apparatus being characterized in that a matching value calculator for calculating a matching value A between the first data and the second data. The matching value calculation unit includes an area of a graphic represented by the first radar chart, an area of a graphic represented by the second radar chart, a graphic represented by the first radar chart, and the second radar chart. The area of the part that overlaps the figure represented by is calculated for each quadrant, and the above matching value is calculated from the total area obtained by adding all the areas of each quadrant, and for each quadrant from the area of each quadrant The data matching apparatus according to claim 1, wherein the matching value is calculated. The matching value calculation unit includes an area of a graphic represented by the first radar chart, an area of a graphic represented by the second radar chart, a graphic represented by the first radar chart, and the second radar chart. The area of the part that overlaps the figure represented by is calculated for each quadrant, and the total matching value is calculated from the total area obtained by adding all the areas of the individual quadrants. The data matching apparatus according to claim 1, wherein a matching value of the specific area is calculated from a total area obtained by adding the values. Displaying the first radar chart generated by the first radar chart generation unit and the second radar chart generated by the second radar chart generation unit on the same evaluation axis, The data matching apparatus according to claim 1 , further comprising a display unit that displays the matching value calculated by the matching value calculation unit.

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