JP2002169826A - Data converting device and storage medium stored with data conversion processing program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a data converting device which can convert a subjective evaluation in one representation to a subjective evaluation in the other representation while taking differences in presentation of a subjective evaluation into account. SOLUTION: The data converting device is equipped with 1st and 2nd sample evaluation acquiring means 21 and 31 which obtain evaluation results that a seller and a customer have as to an article sample from their subjective points of view on the basis of subjective feature elements and their level values according to an input result from an input means, 1st and 2nd sample matrix acquiring means 25 and 35 which represent those evaluation results as matrixes, a conversion matrix acquiring means 41 which obtains a conversion matrix for converting a 1st sample matrix into a 2nd sample matrix, a representing person evaluation result acquiring means 51 which acquires the evaluation result of the article by the seller, an evaluation matrix acquiring means 55 which represents the representing person evaluation results as a matrix, a converting means 61 which converts the evaluation matrix of the article by the conversion matrix, and a conversion evaluation acquiring means 71 which acquires the evaluation result represented as the evaluation matrix of the article after conversion.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

[0001] The present invention relates to a data conversion device,
And a storage medium in which the data conversion processing program is stored. More specifically, in consideration of the difference in the expression of the subjective evaluation among a plurality of persons, the subjective evaluation by one expression is replaced by the subjective evaluation by the other expression. The present invention relates to a data conversion device that can be converted into a statistical evaluation, and a storage medium that stores a data conversion processing program.

[0002]

2. Description of the Related Art In recent years, there has been proposed a technique for performing processing such as totalization of questionnaire data and product search based on a subjective evaluation using a subjective expression such as an impression expression or a feeling expression.
For example, obtain a subjective evaluation of a desired product from a customer seeking a product, search for a product that meets the customer's request based on the subjective evaluation, or provide a product provider such as a manufacturer or a store. Provide product data such as new products to customers.

[0003]

The subjective expressions such as impression expressions and sensation expressions used for the subjective evaluation as described above are as follows.
Even if the expression is the same, the state and the degree of the expression are different depending on each individual. Therefore, even if you search for products as they are based on the subjective expression by the customer, you will not find products in the category that the customer actually imagined,
The product selected by the customer based on the subjective expression by the product provider may be different from the product in the category that the customer had imagined. Japanese Patent Application Laid-Open No. 10-40262 proposes a technique for correcting a difference between a subjective expression and an emotional expression of an individual such as a customer and a product provider. According to the technique described in Japanese Patent Application Laid-Open No. 10-40262, sentiment expression data input by an input person is converted into an independent sentiment expression attribute sequence and its characteristic amount, and information having similar attributes and characteristic amounts is searched. An information retrieval device.
Relative values for correcting the feature amounts of the attributes of the input user are stored in advance, and the feature amounts of the respective attributes obtained from the input emotional expression data are input by adding the above-described relative values. The information is corrected to an amount that does not depend on the sensitivity of the user, and information is retrieved based on the corrected value. However, in the technology described in Japanese Patent Application Laid-Open No. 10-40262, relative values for correcting feature amounts obtained based on input from an input person are previously acquired and stored for all attributes. Need to do so, which requires a lot of labor and cost.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-described problem, and takes into account the difference in the expression of subjective evaluation among a plurality of persons with a small amount of labor and cost. It is an object of the present invention to provide a data conversion device capable of converting a subjective evaluation based on the above expression into a subjective evaluation based on the other expression, and a storage medium storing a data conversion processing program.

[0005]

SUMMARY OF THE INVENTION According to the present invention, for a sample of a predetermined matter, an expressor obtains a first sample evaluation result evaluated by a subjective characteristic element and its level value from a subjective point of view. A second sample evaluation result of the first sample evaluation means and a second sample evaluation result of the predetermined sample, which is evaluated from a second subjective viewpoint different from that of the expressor by a subjective characteristic element and its level value. Sample evaluation acquisition means, one of the sample and the subjective feature element as a row and the other as a column, and the level value of the first sample evaluation result is set as the row and column of the sample and the subjective feature element. A first sample matrix acquisition unit for acquiring a first sample matrix as an element of the above, and one of the sample and the subjective feature element, which is the same as the first sample matrix, is rowd, and the other A second sample matrix acquisition unit that acquires a second sample matrix that is a column and uses the level value of the second sample evaluation result as each element of a row and a column of the sample and the subjective feature element; A transformation matrix acquisition unit for acquiring a transformation matrix for transforming one sample matrix into the second sample matrix; and for the predetermined matter, the expressor uses a subjective feature element and a level value from a subjective viewpoint. An expressor evaluation result obtaining means for obtaining an evaluated expressor evaluation result, and performing one of the predetermined items and the subjective feature element similar to the first sample matrix,
An evaluation matrix obtaining means for obtaining an evaluation matrix in which the other is a column and the level value of the expressor evaluation result is an element of a row and a column of a predetermined matter and a subjective feature element, and the conversion of the evaluation matrix A conversion unit that converts by a matrix, and an evaluation result in which each element of the matrix converted by the conversion unit is a level value of a subjective characteristic of a predetermined item of a row and a column is evaluated by the expressor. The above object is achieved by providing a data conversion device (first configuration of the present invention) including a conversion evaluation acquisition unit that acquires the evaluation result. In the data conversion device of the first configuration, a predetermined matter (thing, that is, an object such as a food or a vehicle, a person, etc.) Of living organisms and intangible events such as articles, incidents and events, etc.), and from these evaluation results, the subjective evaluation of the performer from the subjective point of view Obtain a conversion matrix for converting to subjective evaluation from a subjective viewpoint. And this transformation matrix is
Regarding the predetermined matter, it is assumed that the subject's subjective viewpoint can be converted to another subjective viewpoint even in cases other than the sample. Then, the evaluation result of the expressor for a predetermined item other than the sample is converted using the conversion matrix, and the result obtained by the conversion is used as the evaluation of the item from the other subjective viewpoint. In the data conversion device of the first configuration, the evaluation of the same sample of the subjective viewpoint of the expressor and the subjective viewpoint of the other person is obtained based on the subjective feature elements constituting the subjective viewpoint and the level values thereof. , These evaluations are matrixed as a first sample matrix and a second sample matrix. Then, a transformation matrix is obtained from these sample matrices. The transformation matrix can be obtained from the level values of multiple subjective features obtained from the evaluation results for the sample, and it is necessary to examine the difference between the level values of the expressor and others for all the subjective features There is no. Therefore, with less effort and cost, taking into account the difference in the subjective evaluation among a plurality of persons with different subjective evaluations,
It is possible to convert one subjective evaluation into another subjective evaluation. The expressor does not need to be a substantial person, but may be an entire predetermined group. Therefore, even if the evaluation result from the subjective viewpoint of the creator is a single evaluation result, the average of the evaluation results of all persons belonging to the predetermined group or a plurality of persons arbitrarily selected by random sampling or the like, and other statistics. It may be the result of processing. Also, the subject of the other subjective viewpoint need not be alone, as in the case of the creator, but may be the entire predetermined group. The evaluation result from another subjective point of view may be an evaluation result of one person or an average of evaluation results of a plurality of persons belonging to a predetermined group or a result of other statistical processing. The subjective characteristic elements are various matters (things, that is, things such as food and vehicles, living things such as people, and,
This is an element that represents a feature that constitutes various viewpoints when subjectively evaluating an insubstantial event such as an article, case, or event. For example, when a certain movie is evaluated, “thrill degree”, “impression degree”, “comedy degree” and the like are subjective characteristic elements from the viewpoint of the nature of the work. In addition, for a certain beer, for example, from the viewpoint of “taste”, “Koku”, “Kire”, “Umami”, “Nodoshi”, and the like are subjective characteristic elements. The subjective characteristic element of the first sample matrix and the subjective characteristic element of the second sample matrix used when acquiring the transformation matrix are the subjective characteristic of the performer evaluation result evaluated by the performer for a predetermined matter. It is preferable that the feature element is included in the same subjective viewpoint. This is because if the subjective viewpoints are different, the tendency of the difference in the evaluation result between the performer's evaluation and the evaluation based on other subjective viewpoints may be different.
Therefore, for example, when the predetermined matter is a food and the expressor evaluation result is an evaluation on the “taste” of the food,
As for the subjective characteristic element of the first sample evaluation result and the subjective characteristic element of the second sample evaluation result, the level value is obtained for the subjective element included in the subjective viewpoint "taste", and based on this, Preferably, a first sample matrix and a second sample matrix are obtained. by this,
The subjective evaluation of the creator can be converted by better reflecting the difference between the creator and other subjective viewpoints for each of the subjective viewpoints.

According to the present invention, in a data conversion apparatus having a first configuration, the conversion matrix obtaining means includes a conversion matrix T for converting a first sample matrix Ma into a second sample matrix Mb.
Is provided in accordance with a conversion matrix T = Ma−1 · Mb (the second configuration of the present invention). Here, Ma-1 represents an inverse matrix of the matrix Ma. In the data conversion device of the second configuration, the transformation matrix T is obtained by using the inverse matrix Ma-1 of the first sample matrix. However, the transformation matrix T is not limited to the inverse matrix. Instead of Ma-1, a matrix approximating Ma-1 may be used, such as using a Moore-Penrose generalized inverse matrix when one sample matrix Ma is not a regular matrix. According to the present invention, in the data conversion device according to the first configuration or the second configuration, the predetermined item is a product provided by the product provider, the expressor is the product provider, and the second Is a subjective viewpoint of a customer of a product provided by the product provider, and creates product information of the product provided by the product provider from the evaluation result obtained by the conversion evaluation obtaining unit. The object is achieved by providing a data conversion device (third configuration of the present invention) provided with a product information providing means for providing to the customer. In the data conversion device of the third configuration,
The conversion matrix converts the evaluation result of the product provider into the evaluation result of the customer. Therefore, it is possible to provide information on the product from the product provider from the viewpoint of the customer from the product information providing means. Note that the product provider side is a side such as a maker or a retail store that provides products to customers by selling or lending them. The product provided by the product provider may be a product such as food or furniture, or a service such as provision of food and drink or broadcast of a movie. According to the present invention, in the data conversion device according to the first configuration or the second configuration, the predetermined item is a product provided by the product provider, and the expressor is a product provided by the product provider. A customer, the second subjective viewpoint is a subjective viewpoint by the product provider, and the product provider evaluates a product provided by the product provider with a subjective characteristic element and a level value. A product data storage unit for storing a product evaluation result; and a product search for searching for the product whose product evaluation result stored in the product data storage unit is close to the evaluation result obtained by the conversion evaluation obtaining unit (A fourth configuration of the present invention). In the data conversion device having the fourth configuration, the evaluation of the customer is converted into the evaluation from the subjective viewpoint of the merchandise provider. Then, from the merchandise data stored in accordance with the evaluation of the merchandise provider, a merchandise having an evaluation close to the converted evaluation is searched. Therefore, even if the subjective or subjective expression of the customer differs from the subjective or subjective evaluation of the product provider, it is possible to search for and present a product that is close to the evaluation evaluated by the customer. The product search means converts the evaluation after conversion by the conversion matrix of the evaluation expressed by the customer and the evaluation on the product providing side into a coordinate value of each axis in a space around the subjective characteristic element as a level value. Points can be grasped, and whether or not they are approximate can be determined based on the distance between these points. In addition, it grasps as a vector from the origin to the point where the coordinate value of each axis is set as a level value in the space around the subjective feature element, and judges whether or not they are approximated by the magnitude of the angle between the vectors. You can do it. Also, even if you search for only one product,
The number may be plural, and the number may not be determined but may be more than a predetermined value.

[0007] The present invention provides a first sample evaluation acquisition function for acquiring a first sample evaluation result of a sample of a predetermined matter, which is evaluated by a performer from a subjective point of view using a subjective characteristic element and its level value. And a second sample evaluation acquisition function of acquiring a second sample evaluation result of the predetermined sample evaluated from a subjective feature element and its level value from a second subjective viewpoint different from the expressor;
One of the sample and the subjective feature element is a row, the other is a column, and the level value of the first sample evaluation result is a row and column element of the sample and the subjective feature element. A first sample matrix obtaining function of obtaining a sample matrix of: and one of the sample and the subjective feature element, which is the same as the first sample matrix,
A second sample matrix acquisition function of acquiring a second sample matrix in which the other is a column and the level value of the second sample evaluation result is a sample and each element of a row and a column of a subjective feature element; A transformation matrix acquisition function for acquiring a transformation matrix for transforming the first sample matrix into the second sample matrix; and for the predetermined matter, the expressor has a subjective feature element and its level value from a subjective viewpoint. An executor evaluation result obtaining function of obtaining an executor evaluation result evaluated in the above, and one of the predetermined items and the subjective feature elements, which is the same as the first sample matrix, is a row, and the other is a column. An evaluation matrix obtaining function of obtaining an evaluation matrix that uses the level value of the expressor evaluation result as an element of a row and a column of a predetermined matter and a subjective feature element; and converting the evaluation matrix by the conversion matrix. A conversion function, and an evaluation result in which each element of the matrix converted by the conversion function is a level value and a level value of a subjective characteristic of a predetermined item of the row and column is an evaluation result by the expressor. The object is achieved by providing a storage medium (a fifth configuration of the present invention) in which a computer-readable data conversion processing program for causing a computer to realize a conversion evaluation obtaining function to be obtained is stored. Or the first sample evaluation acquisition function, the second sample evaluation acquisition function, the first sample matrix acquisition function, the second sample matrix acquisition function, the transformation matrix acquisition function, Expressor evaluation result acquisition function, the evaluation matrix acquisition function,
A data conversion processing program, a data conversion processing program signal, a data conversion processing program transmission medium, or a data conversion processing program carrier for causing a computer to realize the conversion function and the conversion evaluation acquisition function may be used. A storage medium storing a data conversion processing program of a fifth configuration, and the data conversion processing program,
With the data conversion processing program signal, the data conversion processing program transmission medium, or the data conversion processing program carrier wave, the data conversion processing program can be read and executed by a computer, thereby realizing the data conversion apparatus of the first configuration. It is. In a storage medium storing a data conversion processing program having a fifth configuration, the conversion matrix acquisition function converts a conversion matrix T for converting a first sample matrix Ma into a second sample matrix Mb by a conversion matrix T = Ma The storage medium (sixth configuration of the present invention) may store a data conversion processing program acquired in accordance with −1 · Mb. Or the first sample evaluation acquisition function;
The second sample evaluation acquisition function, the first sample matrix acquisition function, the second sample matrix acquisition function, the transformation matrix acquisition function, the expressor evaluation result acquisition function, and the evaluation matrix acquisition A data conversion processing program signal, a data conversion processing program transmission medium, or a data conversion processing program carrier wave for causing a computer to realize the function, the conversion function, and the conversion evaluation acquisition function. The matrix acquisition function may acquire the transformation matrix T for transforming the first sample matrix Ma into the second sample matrix Mb according to the transformation matrix T = Ma−1 · Mb. In the storage medium storing the data conversion processing program of the sixth configuration, and the data conversion processing program, the data conversion processing program signal, the data conversion processing program transmission medium, or the data conversion processing program carrier, the data conversion processing program is By causing the computer to read and execute the data, it is possible to realize the data conversion device according to the second aspect. In the storage medium in which the data conversion processing program according to the fifth or sixth configuration is stored, the predetermined item is a product provided by the product provider side, and the expressor is the product provider. The second subjective viewpoint is a customer's subjective viewpoint of the product provided by the product provider, and the product of the product provided by the product provider is obtained from the evaluation result obtained by the conversion evaluation obtaining function. A storage medium (seventh configuration of the present invention) storing a computer-readable data conversion processing program for causing a computer to realize the product information providing function of creating information and providing the product information to the customer can be provided. Or
The sample evaluation acquisition function, the second sample evaluation acquisition function, the first sample matrix acquisition function, the second sample matrix acquisition function, the transformation matrix acquisition function, and the expressor evaluation result acquisition A data conversion processing program, a data conversion processing program signal, a data conversion processing program transmission medium, or a data conversion processing program carrier wave for realizing a function, the level value conversion function, and the conversion evaluation acquisition function in a computer. , The predetermined item is a product provided by the product provider side, the expressor is the product provider, and the second subjective viewpoint is a customer's subjective view of the product provided by the product provider side. From the evaluation result obtained by the conversion evaluation obtaining function, to create product information of the product provided by the product provider side Data conversion processing program for realizing the commodity information providing function of providing the customer computer, the data conversion processing program signals, the data conversion processing program transmission medium, or as a data transform program carrier. Or, the first sample evaluation acquisition function, the second sample evaluation acquisition function,
The first sample matrix acquisition function, the second sample matrix acquisition function, the transformation matrix acquisition function, the expressor evaluation result acquisition function, the evaluation matrix acquisition function, the conversion function, and the conversion A data conversion processing program, a data conversion processing program signal, a data conversion processing program transmission medium, or a data conversion processing program carrier wave for causing a computer to realize the evaluation acquisition function,
The transformation matrix acquisition function acquires a transformation matrix T for transforming a first sample matrix Ma into a second sample matrix Mb according to a transformation matrix T = Ma−1 · Mb. A product provided by a product provider; the expressor is the product provider; the second subjective viewpoint is a customer's subjective viewpoint of a product provided by the product provider; A data conversion program and a data conversion process for creating, from a result of the evaluation obtained by the obtaining function, product information of the product provided by the product provider and realizing a product information providing function provided to the customer by a computer; Program signal, data conversion processing program transmission medium,
Alternatively, a data conversion processing program carrier may be used. In the storage medium storing the data conversion processing program according to the fifth configuration or the sixth configuration, the predetermined item is a product provided by the product provider, and the expressor is provided by the product provider. The second subjective viewpoint is a subjective viewpoint by the product provider, and the product provider provides a subjective feature element, a level value, and a product provided by the product provider. A product data storage function for storing the product evaluation result evaluated in step 2 in the product data storage means, and a product evaluation stored in the product data storage means by the product data storage function in the evaluation result obtained by the conversion evaluation obtaining means. A computer-readable data conversion processing program for causing a computer to realize a product search function for searching for the product having similar results is stored.憶媒 body may be (the eighth aspect of the invention). Alternatively, the first sample evaluation acquisition function, the second sample evaluation acquisition function, and the first
Sample matrix acquisition function, the second sample matrix acquisition function, the transformation matrix acquisition function, the expressor evaluation result acquisition function, the evaluation matrix acquisition function, the conversion function, and the conversion evaluation acquisition function A data conversion processing program, a data conversion processing program signal, a data conversion processing program transmission medium, or a data conversion processing program carrier for causing a computer to realize the above, and the predetermined item is a product provided by the product provider. Wherein the expressor is a customer of a product provided by the product provider, the second subjective viewpoint is a subjective viewpoint by the product provider, and the product provided by the product provider is A product data storage device for storing in a product data storage means a product evaluation result evaluated by the product provider based on a subjective characteristic element and a level value; And a product search function for searching for the product whose product evaluation result obtained by the conversion evaluation obtaining means is stored in the product data storage means by the product data storage function and which has a similar product evaluation result to the computer. It may be a computer-readable data conversion processing program, a data conversion processing program signal, a data conversion processing program transmission medium, or a data conversion processing program carrier for realization. Alternatively, the first sample evaluation acquisition function, the second sample evaluation acquisition function, the first sample matrix acquisition function, the second sample matrix acquisition function, the transformation matrix acquisition function, A data conversion processing program, a data conversion processing program signal, and a data conversion processing program transmission medium for causing a computer to realize the expressor evaluation result obtaining function, the evaluation matrix obtaining function, the conversion function, and the conversion evaluation obtaining function. Or a carrier wave of a data conversion processing program, wherein the conversion matrix obtaining function obtains a conversion matrix T for converting the first sample matrix Ma into the second sample matrix Mb, according to a conversion matrix T = Ma−1 · Mb. The predetermined item is a product provided by the product provider, and the expressor is a product provided by the product provider. A customer, the second subjective viewpoint is a subjective viewpoint by the product provider, and the product provider evaluates a product provided by the product provider with a subjective characteristic element and a level value. A product data storage function for storing the product evaluation result in the product data storage means,
A computer is provided with a product search function for searching for the product stored in the product data storage unit and having a similar product evaluation result to the evaluation result obtained by the conversion evaluation obtaining unit by the product data storage function. Computer readable data conversion processing program for
The data conversion processing program signal, the data conversion processing program transmission medium, or the data conversion processing program carrier may be used.

[0008]

DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a data conversion device according to the present invention will be described.
A preferred embodiment in a storage medium storing a data conversion processing program will be described with reference to FIGS.

FIG. 1 shows the configuration of an embodiment of a data conversion apparatus according to the present invention. The configuration of a computer on which a data conversion processing program according to the present invention is read from a storage medium storing the program is conceptually shown. It is a representation. As shown in the conceptual block diagram, the data conversion device (computer) includes an input unit 1, a first sample evaluation and acquisition unit 2
1, a second sample evaluation acquisition unit 31, a conversion matrix acquisition unit 41, an expressor evaluation result acquisition unit 51, an evaluation matrix acquisition unit 55, a conversion unit 61, a conversion evaluation acquisition unit 71, and an output unit 9.

The input means 1 allows a user to input commands for various processes to be performed by the data conversion processing device,
This is for selecting data to be converted from information data stored in advance in an auxiliary storage device such as a D-ROM or a DVD or an external device. The input means 1 includes input devices such as a keyboard, a mouse, a microphone, a voice recognition device for voices from the microphone, a scanner and a character recognition device for images from the scanner, and input control for controlling inputs from these input devices. Means. Also, this input means 1
It is also used for inputting a conversion matrix used for performing data conversion and an evaluation result of a sample for obtaining the conversion matrix.

The first sample evaluation and acquisition means 21 evaluates a predetermined product sample provided by the product provider as an expressor from a subjective point of view by the subjective feature element and its level value from the subjective viewpoint. An evaluation result (first sample evaluation result) is obtained. The first sample evaluation obtaining unit 21 directly obtains the first sample evaluation result input from the input unit 1, or outputs the first sample evaluation result selected by the input unit 1 from an internal storage device. The data is acquired from the auxiliary storage device or an external device via a communication unit or an interface in a wired or wireless manner. As an external device, another personal computer connected to a LAN,
Internet World Wide Web (WWW)
An external personal computer or the like connected to the device corresponds to this.

The first sample evaluation result indicates a plurality of subjective characteristics when a plurality of predetermined products (product samples) specified by the product provider are evaluated for the products and products included in the same classification as the products. Specifies the level value of the element. The subjective feature elements are classified from various subjective viewpoints. For example, when the product is food, the subjective viewpoint “taste” includes subjective characteristic elements such as “sweet”, “spicy”, “sour”, “savory”,. Then, the first sample evaluation result is obtained by specifying a level value on the merchandise provider side for some predetermined subjective characteristic elements of each subjective viewpoint. For example, for food product samples A, B, and C, the "taste"
For three subjective characteristic elements of “sweet”, “spicy” and “savory”, a level value is obtained within the range of 0 to 5, respectively. This first sample evaluation result is:
The number of subjective feature elements used in obtaining the first sample matrix and the number of product samples need to be the same. In the transformation matrix acquisition process, to find the inverse matrix,
This is because the matrix having the subjective feature elements and the product samples as rows or columns needs to be regular matrices. In the present embodiment, the conflicting contents as the subjective characteristic elements are independent of each other, and each is evaluated at a level value of 0 to 5. However, as the subjective characteristic element, "sweet-spicy" is used. "One of the subjective features that includes conflicting meanings, such as""""""""""""""""""" You may make it. For example, in the subjective characteristic element of "bodily-light", the level value is positive when there is a rich body, the level value is negative when there is a rich body. For example, the value increases.
In the present embodiment, the first sample evaluation acquisition unit 21
As a first sample evaluation result, a product provider's evaluation directly obtained by inputting a subjective characteristic element and a level value corresponding to each subjective characteristic element is directly obtained. Then, an evaluation expression such as a graph or a sentence expressing the sample evaluation result may be input and acquired, and the subjective characteristic element and its level value may be obtained based on the graph or the sentence. For example, if the sample is food,
Acquisition of evaluation graph data such as the result of mapping on a two-dimensional plane with two subjective characteristic elements of sweetness and umami as axes, and obtaining the level value of each subjective characteristic element,
An evaluation sentence in which the evaluation is expressed as a sentence is acquired, and the subjective expression element and the level value of each subjective characteristic element are acquired by analyzing the evaluation expression. As an analysis method for acquiring a subjective characteristic element and its level value from an evaluation sentence,
For example, a table in which a subjective expression is associated with a subjective feature element and a level value included in the subjective expression is stored in a predetermined storage area in advance, and the subjective sentence is evaluated from the evaluation sentence with reference to this table. It is possible to use a method of extracting a subjective expression and obtaining a subjective characteristic element constituting the subjective expression and its level value. First sample evaluation acquisition means 21
The first sample evaluation result obtained in (1) is stored in the expressor-evaluation result correspondence table storage means 23. This first
In the sample evaluation result, the product provider side and the first sample evaluation result by the product provider side are stored correspondingly. The first sample evaluation result is stored for each product sample as a subjective feature element representing one or more subjective viewpoints determined corresponding to the product sample and its level value.

[0013] The first sample matrix acquiring means 25 sets the level value of the first sample evaluation result to the row and column elements of the sample and the subjective characteristic element, as a row of the product sample and a column of the subjective characteristic element. To obtain a first sample matrix Ma. FIG. 2 illustrates an example of the first sample matrix Ma and the second sample matrix. In the first sample matrix Ma illustrated in FIG. 2A, the first sample evaluation acquisition unit 21 determines whether the taste of the product A to the product D, which is a product sample, is “sweet”, “spicy”, or “sour”. 3
It is a matrix of evaluation results evaluated by three subjective feature elements. In the first sample evaluation result, for example,
The sweetness level value of the product A was evaluated as 1, the pungency was evaluated as 0, and the sourness was evaluated as 2.

The second sample evaluation acquisition means 31 is provided by the merchandise provider and is provided by the first sample evaluation acquisition means 2.
For a predetermined product sample for which the first sample evaluation result has been obtained by the product provider in 1, a second product different from the expressor
From the customer's subjective point of view, the evaluation result (second sample evaluation result) obtained by evaluating the subjective characteristic element and its level value is acquired. The second sample evaluation obtaining unit 31 directly obtains the second sample evaluation result input from the input unit 1 or reads the second sample evaluation result selected by the input unit 1 from the internal storage device, The data is acquired from the auxiliary storage device or an external device via a communication unit or an interface in a wired or wireless manner. Examples of the external device include another personal computer connected to a LAN, and the World Wide Web (WW) of the Internet.
An external personal computer or the like connected to W) corresponds to this. FIG. 3 is a diagram illustrating a display screen displayed when the second sample evaluation obtaining unit 31 obtains the second sample evaluation result. In the present embodiment, the second sample evaluation obtaining unit 31 determines the level corresponding to the subjective feature element from the input result of the evaluation result input on the graph on the display screen as shown in FIG. Get the value. That is, on the display screen of the display as the output means 9, a graph is displayed with the axis of the subjective characteristic element according to the classification of the product sample and the classification of the subjective viewpoint,
The customer specifies a position on the display screen corresponding to the customer's evaluation of the product sample by clicking with a mouse or the like. Then, the second sample evaluation acquisition unit 31 reads and analyzes the designated position on the graph by the customer,
Based on the designated position, the level value of each subjective feature element is obtained. As in the case of the first sample evaluation obtaining means 21, the evaluation of the customer can be directly obtained by inputting a subjective characteristic element and a level value corresponding to each subjective characteristic element, as shown in FIG. ) Other than, for example, a bar graph or a radar chart as shown in FIG. 3 (b), which is obtained by inputting a graph or a sentence expressing the sample evaluation result. A level value may be obtained.

The second sample evaluation result needs to obtain the evaluation result of the same product as the first sample evaluation result, but the subjective characteristic element is not necessarily the same as long as it is included in the classification of the product. Need not be. For example, the first
In the sample evaluation results of the above, even if the level values are obtained for the three subjective characteristic elements of "sweetness", "spiciness", and "sourness" for each of the products A, B, and C, the second sample In the evaluation result, a level value may be obtained for two subjective characteristic elements such as “sweetness” and “umami” for the products A, B, and C. It is preferable that the subjective characteristic element of the first sample evaluation result and the subjective characteristic element of the second sample evaluation result belong to the same subjective viewpoint. The difference in the subjective evaluation between the product provider from which the first sample evaluation result is obtained and the customer from which the second sample evaluation result is obtained has a significantly different tendency depending on the subjective viewpoint. This is because there are cases. Note that the second sample evaluation acquiring unit 31 divides the second sample evaluation result into a subjective characteristic element and a level value corresponding to each subjective characteristic element, similarly to the first sample evaluation result acquiring unit 21. The input may be directly obtained. In addition, the first sample evaluation obtaining unit 21 obtains the first sample evaluation result based on the position specified by inputting a graph or the like on the display screen, similarly to the second sample evaluation obtaining unit 31. You may do so.

The second sample matrix acquiring means sets one of the same as the first sample matrix of the product sample and the subjective feature element as a row and the other as a column, and sets a level value of the second sample evaluation result. , And a second sample matrix Mb as each element of the row and column of the sample and the subjective feature element. In the present embodiment, as shown in FIG.
A second sample matrix Mb is obtained in which the product sample is a row and the subjective feature element is a column, and the level value of the first sample evaluation result is the row and column elements of the sample and the subjective feature element. Further, in this example, the tastes of the products A to C, which are the product samples, are “umami” and “sweetness”.
The evaluation results evaluated using the two subjective characteristic elements are matrixed. The level value of this subjective feature element is set so as to cover the positive and negative areas. For example, in "sweetness",
Positive level values are sweet, negative level values are painful,
The greater the absolute value of each, the greater the degree. Then, for the same product B, the product provider side obtains the first sample matrix Ma shown in FIG.
As you can see, the sweetness is evaluated, and on the customer side,
As can be seen from the second sample matrix Mb shown in FIG. 2B, slight pungency is evaluated.

The transformation matrix acquisition unit 41 is configured to acquire the first sample matrix Ma acquired by the first sample matrix acquisition unit 21.
Is performed to obtain a conversion matrix T that converts the data into the second sample matrix Mb obtained by the second sample matrix obtaining means 31. FIG. 4 shows a process of acquiring a transformation matrix T based on a first sample matrix Ma shown in FIG. 2A and a second sample matrix Mb shown in FIG. 2B as an example of a transformation matrix acquisition process. FIG. The transformation matrix acquisition means 41 acquires the transformation matrix T according to the following equation, as shown in FIG. Transformation matrix T = Ms−1 · Mc where −1 following the code representing the matrix represents an inverse matrix of this matrix.

The expressor evaluation result acquiring means 51 is an expression evaluated by the merchandise provider from a subjective point of view of the merchandise sold by the merchandise provider to the customer, which is a predetermined item provided by the merchandise provider to the customer. Obtain the evaluation result of the user. The expressor evaluation result is expressed by a subjective feature element and its level value, similarly to the first sample evaluation result and the second sample evaluation result described above. The product to be evaluated can be, for example, a product other than the sample product, such as a newly developed product. However, it is possible to obtain the performer evaluation result for the same product as the sample. As with the first sample evaluation result and the second sample evaluation result, the expressor evaluation result is obtained by directly inputting the data input by the subjective characteristic element and the level value corresponding to each subjective characteristic element from the direct input unit 1. Instead of directly obtaining the evaluation expression, such as a sentence or a graph, the subjective characteristic element and its level value may be obtained by the expressor evaluation result obtaining unit 51 based on the obtained evaluation expression.

The evaluation matrix obtaining means 55 uses the executor evaluation result obtained by the executor evaluation result obtaining means 51 to obtain a matrix of row and column level values (similar to the first sample matrix and the second sample matrix). (Evaluation matrix) D1 is created. Conversion means 61
Transforms the evaluation matrix D1 by the transformation matrix T. That is,
If the matrix obtained by the conversion is D2, then D2 = D1 · T. The conversion evaluation acquisition unit 71 sets each element of the converted matrix D2 converted by the conversion unit 61 as a level value, and sets a subjective feature element corresponding to the level value of the converted matrix D2 as a subjective feature element. Acquired as the evaluation result on the product provider side.

The output unit 9 performs an output process for outputting based on the evaluation result of the product provider obtained by the conversion evaluation obtaining unit 71. The output means 9 includes output devices such as a display and a printer, and output control means for controlling output from these output devices. The output by the output means 9 displays the evaluation result on a display device as an output device or prints it on a display device as an output device as viewable image data in association with a subjective characteristic element and its level value. This is done by outputting. This image data can be expressed as a graph or a chart according to the level value, in addition to the one in which the subjective characteristic element and the level value are directly associated with each other with characters. Further, the evaluation result may be displayed so as to be able to compare not only one product but also a plurality of products.

FIG. 5 shows a specific system configuration of the data converter configured as described above. The data conversion device is configured by a computer system such as a personal computer. As shown in FIG. 5, the data conversion device includes a control unit 11 for controlling the entire system. The control unit 11 includes a keyboard 12 and a mouse 13 as input devices, a display device 14, a printing device 15, a storage device 16, a storage medium drive device 17, and a communication control device 1 via a bus line such as a data bus.
8, an input / output I / F 19, a character recognition device 20, and a voice recognition device 22 are connected.

The control unit 11 includes a CPU 111, a ROM 11
2. A RAM 113 is provided. The CPU 111 controls various devices according to programs to perform calculations. ROM1
Reference numeral 12 denotes a read-only memory in which programs executed when the computer is started are stored in advance. RA
The M113 is used as a working memory in which programs and data for the CPU to perform various controls and calculations are stored, and various areas for performing various processes such as the data conversion process according to the present embodiment can be secured. .

The keyboard 12 constitutes the input means 1,
The user inputs commands and data for various processes to be performed by the data conversion device, and selects a conversion target to convert data from data stored in an auxiliary storage device such as a CD-ROM or a DVD or an external device in advance. Used to Various keys such as a kana key and a numeric keypad for inputting a kana character, a function key for executing various functions, and a cursor key are arranged on the keyboard 12. The mouse 13 is a pointing device, constitutes the input unit 1 like the keyboard 12, and inputs or designates data to be converted by clicking a key or an icon displayed on the display device 14. An instruction for processing such as ripping is performed. As the display device 14, for example, a CRT or a liquid crystal display is used. The display device 14 displays information data that can be subjected to data analysis by icons and file names.
And the mouse 13 for selection. Further, the display device 14 constitutes the output means 7 and displays an image of the subjective numerical data acquired from the information data so that the correspondence with the objective feature accompanying the information data can be recognized. The printing device 15 constitutes the output unit 7 and prints an image or the like displayed on the display device 14. Various printing apparatuses such as a laser printer, a dot printer, an ink jet printer, a page printer, a thermal printer, and a thermal transfer printer are used as the printing apparatus.

The storage device (auxiliary storage device) 16 is composed of a readable and writable storage medium and a drive device for reading and writing various information such as programs and data on the storage medium. As a storage medium used for the storage device 16, a hard disk is mainly used.
A readable and writable storage medium among various storage media used in the storage medium driving device 17 described later may be used. The storage device 16 includes a kana-kanji conversion dictionary 161, a program storage portion 162, a data storage portion 163, and other storage portions (not shown) (for example, storage for backing up programs and data stored in the storage device 16). Part). Program storage unit 162
In the present embodiment, the first sample evaluation result evaluated by the merchandise provider on the subjective feature element and the level value from the subjective viewpoint of the merchandise sample provided by the merchandise provider side (the merchandise sample) is described. A first sample evaluation acquisition process to be obtained, and a second sample evaluation result of the predetermined sample, which is evaluated based on a subjective characteristic element and its level value from a subjective viewpoint of a customer of a product provided by the product provider. A second sample evaluation acquisition process of acquiring
One of the sample and the subjective feature element is a row, the other is a column, and the level value of the first sample evaluation result is a row and column element of the sample and the subjective feature element. A first sample matrix acquisition process of acquiring a sample matrix of, and performing one of the sample and the subjective feature element similar to the first sample matrix,
A second sample matrix acquisition process of acquiring a second sample matrix in which the other is a column and the level value of the second sample evaluation result is the sample and each element of a row and a column of a subjective feature element, A transformation matrix acquisition process for acquiring a transformation matrix for transforming the first sample matrix into the second sample matrix; and for the product, the product provider provides a subjective feature element and a level value from a subjective point of view. An executor evaluation result acquisition process of acquiring an executor evaluation result evaluated in step 1; and the first of the product and the subjective feature element.
Evaluation matrix acquisition for obtaining an evaluation matrix in which one of the rows is the same as the sample matrix and the other is a column, and the level value of the expressor evaluation result is a row and column element of the predetermined matter and the subjective feature element Processing, the evaluation matrix, a conversion process of converting by the conversion matrix, and the level value of each element of the matrix after the conversion in the conversion process is the level value of the subjective feature of the product of the row and column Conversion evaluation acquisition processing for acquiring the evaluation result obtained as the evaluation result by the product provider,
In addition, various programs such as a kana-kanji conversion program for converting a kana character string input using the kana-kanji conversion dictionary 161 into a mixed-kanji sentence are stored. The data storage unit 163 stores the sample evaluation result of the merchandise provider acquired in the first sample evaluation acquisition processing and the sample evaluation result of the customer acquired in the second sample evaluation acquisition processing (second sample evaluation result). ), The conversion matrix obtained by the conversion matrix obtaining means, the evaluation of the product provided by the product provider obtained by the expressor evaluation result obtaining process (expressor evaluation result), and the provision of the converted product obtained by the conversion evaluation obtaining process. The evaluation result (conversion evaluation result) on the user side, a display for prompting the input of these data and displaying the input result, and other data necessary for various programs stored in the program storage unit 162 are stored.

The storage medium drive 17 is a drive for the CPU 111 to read a computer program and data including a document from an external storage medium. Computer programs and the like stored in an external storage medium include the first program executed by the data conversion device of the present embodiment.
Sample evaluation acquisition processing, second sample evaluation acquisition processing, conversion matrix acquisition processing, performer evaluation result acquisition processing, level value conversion processing, conversion evaluation acquisition processing, product information provision processing,
And various processing programs, and the first
, The second sample evaluation result, the performer evaluation result, the conversion matrix, the conversion evaluation result, and the like. Here, the storage medium refers to a storage medium in which a computer program, data, and the like are stored, and specifically, a magnetic storage medium such as a floppy (registered trademark) disk, a hard disk, a magnetic tape, a memory chip, an IC card, and the like. Semiconductor storage media, storage media from which information can be read optically, such as CD-ROMs, MOs, PDs (phase change rewritable optical disks),
The storage medium includes a storage medium using paper (such as a paper card or a paper tape) (and a medium having a function equivalent to the paper) and a storage medium storing a computer program or the like by various methods.

As a storage medium used in the data converter of the present embodiment, a storage medium such as a CD-ROM or a floppy disk is mainly used. The storage medium drive 17 can read data stored in the RAM 113 or the storage device 16 into a writable storage medium such as a floppy disk in addition to reading a computer program from these various storage media. It is.

In the data converter of this embodiment, the CPU 111 of the control unit 11 reads a computer program from an external storage medium set in the storage medium drive 17 and stores it in each unit of the storage 16 (installation).
I do. When executing various processes such as the data conversion process according to the present embodiment, the corresponding program is read from the storage device 16 into the RAM 113 and executed by the CPU 111. However, not from the storage device 16,
The storage medium drive 17 directly outputs R from an external storage medium.
It is also possible to read the program into the AM 113 and execute it. In addition, depending on the data conversion device, each program for the data analysis process of the present embodiment may be stored in the RO beforehand.
M112 may be stored, and this may be executed by the CPU 111. Furthermore, various programs and data such as a program for the data conversion processing of the present embodiment may be downloaded from another storage medium via the communication control device 18 and executed.

The communication control device 18 is a control device for making a network connection between the data conversion device and various external electronic devices such as other personal computers and word processors. The communication control device 18 allows access from these various external electronic devices via the communication control device 18, and functions as the input unit 1 in accordance with a command input from the keyboard 12 or the like, and functions as an input unit 1. The first sample evaluation result, the second sample evaluation result, and the performer evaluation result are input. Also, according to a command input from the input means 1 such as the keyboard 12, the output means 9
And outputs the conversion evaluation result obtained in the conversion evaluation obtaining process to the external electronic device.

The input / output I / F 19 is an interface for connecting various devices such as a speaker for outputting voice and music. The character recognition device 20 is a device for recognizing characters written on paper or the like in various formats such as a text format or HTML, and is configured by an image scanner, a character recognition program, and the like. The character recognition device 20 functions as the input unit 1 and reads data for acquiring a first sample evaluation result, a second sample evaluation result, and an expressor evaluation result described on a sheet or the like. Voice recognition device 22
Is connected to a microphone (not shown) functioning as a voice capturing means for capturing voice, and recognizes voice captured from the microphone and converts it into text data. The character recognition device 20 functions as the input unit 1 and takes in data for obtaining a first sample evaluation result, a second sample evaluation result, and an expressor evaluation result described on a sheet or the like.

Next, the processing operation of the data converter configured as described above will be described. In this data conversion device, the first sample evaluation obtaining means 21 obtains the first sample evaluation result in advance by input to the input means 1 on the merchandise provider side, and stores the first sample evaluation result in the expressor-evaluation result correspondence table storage means 23. Store (first sample evaluation storage process). Then, in the data conversion processing, the first sample evaluation result is obtained from the expressor-evaluation result correspondence table storage unit 23. The first sample evaluation storage process is performed in advance before the data conversion process, and the first sample evaluation result used in the data conversion process needs to be obtained. The first sample evaluation result already acquired and stored can be updated, or the evaluation result of a new product sample can be added.

FIG. 6 is a flowchart showing the flow of data conversion processing by the data conversion device. This figure 6
In the data conversion process, first, the classification of a product for which information is provided by converting data is obtained (information providing product classification obtaining process) (step 5). In the present embodiment, the classification acquired in this processing is output means 9
Is displayed on the display device 14 corresponding to the product sample in the expressor-evaluation result correspondence table storage means 23, and the keyboard or mouse as the input means 1 is selected from the displayed classifications. Get what was selected and entered. For this classification, without directly acquiring the classification, a correspondence table between the product providing the information and the classification is stored, and the selected or directly input product is grasped, and the corresponding classification is determined from this product. It may be obtained. This input may be performed by the merchandise provider to input the classification or merchandise of the merchandise whose information is to be provided, or by the customer to input the classification or merchandise of the merchandise for which the information has been obtained. . When the classification of the product providing the information is obtained, a second sample evaluation result of the product sample evaluated based on the subjective characteristic element and its level value from the subjective viewpoint of the customer is obtained (second sample). Evaluation acquisition processing) (Step 10). In the second sample evaluation acquisition process, a product sample belonging to the category acquired in the information provision product category acquisition process in step 5 is searched from the executor-evaluation result correspondence table storage unit 23, and a plurality of the searched product samples are displayed. . In addition, a characteristic element included in a subjective viewpoint according to the classification of the product sample is displayed, and a subjective characteristic element is selected. Then, when the selection of the subjective characteristic element is input, the customer inputs the evaluation of the selected subjective characteristic element of the product sample to obtain a second sample evaluation. In the present embodiment, FIG.
As shown in (a), on the display screen, a plane or space with the selected subjective feature element of the subjective viewpoint as a coordinate axis is displayed, and in this plane or space, the customer is given an impression of the product sample. The input is made by using a point or the like with a mouse. Then, the level value of the subjective feature element serving as each coordinate axis is obtained from the input position,
Sample evaluation result.

When the second sample evaluation result is obtained, next, based on the second sample evaluation result, the product sample is set as a row, and the subjective characteristic element obtained for this product sample is set as a column. Acquire a second sample matrix Mb whose elements are the level values of the subjective feature elements of each column (second sample matrix acquisition processing) (step 1)
5).

Subsequently, the first sample evaluation acquisition unit reads the first sample evaluation on the merchandise provider side for the merchandise sample evaluated by the customer from the table stored in the expressor-evaluation result correspondence table storage unit 23. Acquire the result (first sample evaluation acquisition process) (Step 2)
0). The first sample evaluation result is a subjective feature element and its level value included in the same subjective viewpoint as the subjective feature element selected by the customer for the same product as the product evaluated by the customer. The subjective characteristic element included in the first sample evaluation result and the subjective characteristic element included in the second sample evaluation result need not necessarily be the same, but must be included in the same subjective viewpoint Is preferred. Then, based on the first sample evaluation result, a product sample is defined as a row, the subjective feature elements thereof are defined as columns, and the level value of the subjective feature element of each column of the product sample in each row is defined as an element at a corresponding position. 1 to obtain a sample matrix Ma (first
Sample matrix acquisition process) (step 25).

Then, based on the first sample evaluation result and the second sample evaluation result, a matrix of the level values of the first sample evaluation result (first sample matrix) is converted to the level value of the second sample evaluation result. Matrix (second sample matrix)
Is obtained according to the following equation (conversion matrix acquisition processing) (step 30). Transformation matrix T = Ma−1 · Mb where −1 following the code representing the matrix represents an inverse matrix of this matrix.

Next, an evaluation result (expressor evaluation result) evaluated by the merchandise provider for the merchandise for which information is provided from the merchandise provider to the customer is obtained (expressor evaluation result obtaining process) (step 40). As in the case of the first sample evaluation result, the presenter evaluation result is evaluated by the merchandise provider based on the subjective characteristic element and its level value from the subjective viewpoint. Obtain in a similar way. Then, when the executor evaluation result is obtained, the subjective feature element is set to be the same as the first sample matrix of the rows or columns, and a matrix having the level value as each element (expressor evaluation matrix) is obtained from the executor evaluation result. P is obtained (expressor evaluation matrix obtaining process) (step 45). In this case, when there are a plurality of products,
The same as the sample matrix of Then, according to the following formula, the writer evaluation matrix P is converted, and a converted matrix Q is obtained. As a result, the matrix of the level values of the expressor evaluation result (expressor evaluation matrix P) is converted by the conversion matrix (conversion process) (step 50). Q = PT

FIG. 7 is a diagram for explaining an example of such conversion processing. In FIG. 7, the three subjective characteristic elements “sweet”, “spicy”, and “sour” similar to the first sample evaluation result for the taste of a certain product for the product provider are
It is evaluated that the level values are 0, 1, and 1, respectively, and an expressor evaluation matrix P = (0 1 1) has been obtained. Then, using the transformation matrix T, the transformed matrix Q = (− 4.5
2) has been acquired. Since the columns of the transformation matrix represent (umami sweetness), the columns of the transformed matrix also represent umami and sweetness, respectively.

In the post-conversion matrix Q, the subjective feature element is the same as the first sample matrix in the row or column, and the level value converted by the conversion matrix is each element.
Then, the correspondence between the subjective characteristic element and the level value in the converted matrix Q is acquired as an evaluation result (conversion evaluation result) evaluated by the merchandise provider for the merchandise (conversion evaluation acquisition processing) (step 60). ), The acquired conversion evaluation result is output by image display so that the correspondence between the subjective characteristic element and the level value can be recognized (output processing) (step 70). In the present embodiment, this output is performed by plotting the position of the corresponding level value in a plane or space with the subjective feature element as a coordinate axis, and displaying the product name at the plot position. FIG. 8 illustrates an example of an output screen of the display device 14 when a conversion evaluation result based on the converted matrix Q acquired in the conversion processing illustrated in FIG. 7 is output.
In this example, the converted subjective evaluation of the converted product E is displayed on the same coordinate axis plane as the sample products A to C. When the conversion evaluation result is output to the display device 14, the data conversion processing by the data conversion device ends.

As described above, the data conversion device of the present embodiment acquires the evaluation from the subjective viewpoint of the merchandise provider and the evaluation from the subjective viewpoint of the customer for the merchandise sample.
A conversion matrix T for converting the evaluation from the subjective viewpoint of the product provider into the evaluation from the subjective viewpoint of the customer is calculated. Then, this conversion matrix is used as a matrix for converting the evaluation from the subjective point of view of the product provider into the evaluation from the subjective point of view of the customer. To an evaluation of. Therefore, according to the present embodiment, in consideration of the difference in the expression of the subjective evaluation between the product provider and the customer, the product provider provides the customer with an evaluation based on the subjective viewpoint of the customer. Can provide information about In addition, by acquiring the transformation matrix for each customer, it is possible to provide each customer with information on the product by an evaluation adapted to each of the subjective viewpoints of the customer. According to the present embodiment, a matrix is used to convert the evaluation from the subjective viewpoint of the product provider to the evaluation from the subjective viewpoint of the customer, so that the evaluation of the subjective viewpoint that obtained the evaluation in the product sample is performed. Converting a product provider's evaluation from a subjective viewpoint to a customer's subjective evaluation, even if the subjective characteristics are different from the subjective characteristics of the subjective viewpoint of the product providing the information Is possible. In addition, the subjective feature element included in the evaluation result of the product sample and the subjective feature element of the product providing the information need not be completely the same, but the tendency of conversion by the conversion matrix is good. It is preferable that a conversion matrix of a type is acquired from a plurality of product samples so as to be reflected, and a product and a conversion matrix used for the product are opposed to each other. In the present embodiment, a conversion matrix is acquired for each classification of the product sample and its subjective viewpoint, and C
The PU 111 associates the conversion matrix with the classification and the subjective viewpoint (conversion matrix association means), and stores the corresponding classification and the subjective viewpoint together with the conversion matrix in the storage unit. Then, by using the conversion matrix obtained from the evaluation of the product sample in which the product providing the information has the same classification and is a subjective viewpoint, the conversion tendency of the conversion matrix improves the difference between the product provider and the customer. Is to be reflected.

As described above, one embodiment of the present invention has been described. However, the present invention is not limited to the above embodiment, and various modifications can be made within the scope of the invention described in the claims. is there. For example, in the above embodiment, 1
Although the case where the product information from one product provider is provided to the customer is described, the data conversion device may provide the product information from a plurality of product providers to the customer. The evaluation result may be converted. In this case, since the evaluation result of the product or the product sample may be different if the entity of the product provider is different, the first sample evaluation result is obtained for each product provider, and the first sample evaluation result is obtained. It must be stored and stored in association with the side. Then, the conversion matrix needs to be acquired based on the first sample evaluation result on the merchandise provider side that provides merchandise information. In addition, since the classification of products (products that provide information) may be different for each product provider side, the first sample evaluation result needs to be obtained only for the classification of products handled by each product provider side. I just need.

In the above embodiment, the expressor is the product provider, the second subjective viewpoint is the customer's subjective viewpoint, and the evaluation of the product provider is converted into the evaluation of the customer. However, the expressor is a customer of the product provided by the product provider, the second subjective viewpoint is a subjective viewpoint by the product provider, and the evaluation of the customer is determined by the product provider. It may be a data conversion device that is converted into the evaluation on the side. In such a data conversion device, various subjective evaluations by the customer are unified to the subjective evaluations of the product provider, so that the analysis can be performed based on the evaluation of a plurality of customers such as a questionnaire. This is useful when acquiring the request of the customer as an evaluation and searching for the product desired by the customer. In this case, the data conversion device includes: a product data storage unit configured to store a product evaluation result of the product provided by the product provider on the basis of a subjective characteristic element and a level value by the product provider; A product search unit that searches for the product that approximates the product evaluation result stored in the product data storage unit to the conversion evaluation result obtained by the obtaining unit may function as a product search device. .

The case where the expressor is the product provider and the second subjective viewpoint is the subjective viewpoint of the customer, the case where the expressor is the customer and the second subjective viewpoint is the subjective viewpoint of the product provider. In both cases, the data conversion process may be performed. In such a data processing device, for a transformation matrix T when the creator is on the merchandise provider side,
Since the transformation matrix T ′ when the expressor is a customer is an inverse matrix, only one of the transformation matrices T or T ′ is obtained from the first sample matrix and the second sample matrix, and the other is , Or one of the inverse matrices, if one is not a regular matrix, may be calculated as an approximate inverse matrix such as a generalized inverse matrix of Moore-Penrose. FIG. 9 shows a case where the data conversion process can be performed in both the case where the expressor is a customer and the second subjective viewpoint is the subjective viewpoint of the product provider in the above-described embodiment. It is a figure showing a data conversion process, (a)
Is a diagram of an input screen for inputting an evaluation of a product that a customer as an expressor requests as a product evaluation result,
(B) is a diagram illustrating a calculation method for converting the evaluation result by the customer, using a generalized inverse matrix of the conversion matrix T as a conversion matrix T ′. In this example, as shown in FIG. 9 (a), on the input screen, customer evaluation results of the sample products A to D are plotted and displayed on a plane centered on sweetness and umami,
The desired subjective evaluation can be input on the screen while referring to the impressions of these sample products. Then, from the plot position of the customer, it is understood that the evaluation of the desired product is (umami sweetness) = (2.51).
Further, a generalized inverse matrix is calculated from the transformation matrix T shown in FIG. 4, and this is defined as a transformation matrix T ′. Then, as shown in FIG. 9B, a transformed matrix Q ′ is obtained from a matrix (representer matrix P ′) based on customer evaluations obtained from the input result shown in FIG. 9A and a transformation matrix T ′. Ask. In the transformation matrix T ′, the first column is sweet, the second column is spicy, and the third column is sour. And
Evaluation result when the product matrix is evaluated from the transformed matrix Q 'from the subjective viewpoint of the product provider (data of the product desired by the customer)
Is (sweet, pungent, sour) = (-0.52-0.34)
0.52).

The data converter of the present embodiment is not only constituted by a computer system including a personal computer, a word processor and the like, but also by a LAN (local / local).
An area network) server, a computer (personal computer) communication host, a computer system connected to the Internet, and the like can also be used. Further, it is also possible to distribute the functions to each device on the network and configure the data conversion device on the entire network. FIG. 10 shows a system configuration diagram when a data conversion device is configured by such a network. As shown in FIG. 10, the data conversion device includes a host device 30 that performs a first sample evaluation acquisition process, a first sample matrix acquisition process, a conversion matrix acquisition process, a level value conversion process, a conversion evaluation acquisition process, and the like. A plurality of client PCs 50 that perform the second sample evaluation acquisition process and the second sample matrix acquisition process and transmit the acquired second sample matrix to the host device 30;
And a network 40 connecting each client PC. The network 40 is mainly connected to the Internet, but has a LAN (local
Area network) and various networks 40 such as a computer network. A client PC 50 such as a personal computer is appropriately connected to the network 40, and a plurality of client PCs 50 can access the host device 30 as needed.

The client PC 50 is constituted by a so-called personal computer system such as a personal computer, is connected to a network 40 (Internet) by dial-up software or the like, and is connected to a WWW (World).
Data of Wide Web is transmitted to browser
er) It can be viewed by software. On the other hand, the client PC 50 includes a control unit, a display unit, an input unit, an output unit, a communication control unit, a storage unit, and other devices.
The control unit of the client PC 50 processes and controls the entire device according to a predetermined program, and transmits information data input from the input unit to the host device 30 via the communication control unit and the network 40. The output data generated by the host device 30 is received and displayed on the display unit, stored in the storage unit, or printed out from the output unit.

On the other hand, the host device 30 includes a control unit 31 and an input / output unit 32, a display unit 34, a communication control unit 38, a storage unit 36, and other devices (not shown) via a bus line B such as a data bus. Is connected. Each of these parts 3
The basic configuration of 1 to 38 is the same as that of the data conversion apparatus shown in FIG. The control unit 31 according to the present embodiment functions as a WWW server, and includes the control unit 11 of the data conversion device illustrated in FIG.
High-speed processing can be performed as compared with the control unit 11 of the client PC 50, and parallel processing can be performed to cope with accesses from a plurality of client PCs 50.
Similarly, the communication control unit 35 can be connected to a plurality of ISDN lines and can perform processing at a higher speed than that of the client PC 50.

Each of the above-mentioned modified examples has one of these modifications without departing from the scope of the invention described in the claims.
It is possible to appropriately apply not only one but also a plurality.

[0046]

As described above, according to the present invention,
Since the conversion of the subjective evaluation between a plurality of persons is performed by using a conversion matrix obtained from the difference between the subjective evaluations among the plurality of persons based on the sample, the difference between the subjective evaluations is considered with less labor and cost. However, it is possible to convert one subjective evaluation into another subjective evaluation.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of a data conversion device according to an embodiment of the present invention, and showing a configuration of a computer from which a data conversion processing program according to the present invention is read and stored on a storage medium storing the program; .

FIG. 2 illustrates an example of a first sample matrix and a second sample matrix.

FIG. 3 is a diagram illustrating a display screen displayed when a second sample evaluation acquisition unit acquires a second sample evaluation result.

FIG. 4 is a diagram illustrating an example of a transformation matrix acquisition process.

FIG. 5 shows a specific system configuration of the data conversion device (computer) of FIG.

FIG. 6 is a flowchart showing a flow of a data conversion process by the data conversion device (computer) of FIG. 1;

FIG. 7 is a diagram illustrating an example of a conversion process.

FIG. 8 is a diagram illustrating an example of an output screen of a display device that outputs a conversion evaluation result in output processing.

9A and 9B are diagrams for explaining processing in another embodiment of the data conversion device of the present invention, wherein FIG. 9A shows an example of an input screen of a display device when inputting an executor evaluation result, and FIG. FIG. 7 is a diagram illustrating an example of a conversion process.

FIG. 10 is a system configuration diagram when the data conversion device of FIG. 1 is configured by a network.

[Explanation of symbols]

 Reference Signs List 1 input means 9 output means 21 first sample evaluation obtaining means 25 first sample matrix obtaining means 31 second sample evaluation obtaining means 35 second sample matrix obtaining means 41 transformation matrix obtaining means 51 expressor evaluation result obtaining means 55 evaluation matrix acquisition means 61 conversion means 71 conversion evaluation acquisition means

Claims (5)

[Claims] 1. A first sample evaluation acquisition unit for acquiring a first sample evaluation result of a sample of a predetermined matter, which is evaluated by a performer from a subjective point of view using a subjective characteristic element and its level value, For the predetermined sample, a second different from the expressor
Second sample evaluation acquisition means for acquiring a second sample evaluation result evaluated from the subjective characteristic element and its level value from a subjective point of view, and executing one of the sample and the subjective characteristic element A first sample matrix acquisition unit that acquires a first sample matrix in which the other is a column and the level value of the first sample evaluation result is a sample and a row and column element of a subjective feature element. The first of the sample and the subjective feature
A second sample matrix is obtained in which one of the rows is the same as the sample matrix of the above, and the other is a column, and the level value of the second sample evaluation result is the row and column elements of the sample and the subjective feature element. A second sample matrix obtaining unit that performs conversion; a conversion matrix obtaining unit that obtains a conversion matrix that converts the first sample matrix into the second sample matrix; An expressor evaluation result obtaining unit that obtains an expressor evaluation result evaluated from a viewpoint with a subjective feature element and its level value; and the first sample matrix of the predetermined item and the subjective feature element; An evaluation matrix acquisition unit that acquires an evaluation matrix in which the same one is a row and the other is a column, and the level value of the expressor evaluation result is an element of a row and a column of a predetermined matter and a subjective feature element; Comment Conversion means for converting a value matrix by the conversion matrix, and an evaluation in which the level value of each element of the matrix converted by the conversion means has become a level value of a subjective feature for a predetermined matter of a row and a column. A conversion evaluation acquisition unit for acquiring a result as an evaluation result by the expressor. 2. The method according to claim 1, wherein said transformation matrix acquiring means acquires a transformation matrix T for transforming the first sample matrix Ma into a second sample matrix Mb according to a transformation matrix T = Ma−1 · Mb. The data conversion device according to claim 1. 3. The predetermined item is a product provided by the product provider, the expressor is the product provider, and the second subjective viewpoint is a product provided by the product provider. From the evaluation result acquired by the conversion evaluation acquisition means, the merchandise information of the merchandise provided by the merchandise provider side is provided, and the merchandise information providing means is provided to the customer. The data conversion device according to claim 1 or 2, wherein: 4. The predetermined item is a product provided by the product provider; the creator is a customer of a product provided by the product provider; the second subjective viewpoint is: A merchandise data storage unit that stores a merchandise evaluation result evaluated by the merchandise provider based on a subjective characteristic element and a level value, for a merchandise provided by the merchandise provider side, which is a subjective viewpoint by the merchandise provider; The product evaluation method according to claim 1, further comprising: a product search unit configured to search for the product whose product evaluation result stored in the product data storage unit is similar to the evaluation result obtained by the evaluation obtaining unit. Item 3. The data conversion device according to item 2. 5. A first sample evaluation acquisition function for acquiring a first sample evaluation result of a sample of a predetermined matter, which is evaluated by a presenter from a subjective point of view using a subjective characteristic element and its level value; For the predetermined sample, a second different from the expressor
A second sample evaluation acquisition function for acquiring a second sample evaluation result evaluated from the subjective characteristic element and its level value from a subjective point of view, and performing one of the sample and the subjective characteristic element A first sample matrix acquisition function of acquiring a first sample matrix in which the other is a column, and the level value of the first sample evaluation result is a sample and a row and column element of a subjective feature element. The first of the sample and the subjective feature
A second sample matrix is obtained in which one of the rows is the same as the sample matrix of the above, and the other is a column, and the level value of the second sample evaluation result is the row and column elements of the sample and the subjective feature element. A second sample matrix obtaining function to perform the conversion, a conversion matrix obtaining function to obtain a conversion matrix that converts the first sample matrix into the second sample matrix, An expressor evaluation result obtaining function of obtaining an expressor evaluation result evaluated by a subjective feature element and its level value from a viewpoint; and the first sample matrix of the predetermined item and the subjective feature element An evaluation matrix acquisition function of acquiring an evaluation matrix in which the same one is a row and the other is a column, and the level value of the expressor evaluation result is an element of a row and a column of a predetermined matter and a subjective feature element, Comment A conversion function of converting the value matrix by the conversion matrix, and an evaluation in which the level value of each element of the matrix after the conversion by the conversion function has become the level value of the subjective feature for a predetermined matter of the row and the column. A storage medium storing a computer-readable data conversion processing program for causing a computer to realize a conversion evaluation acquisition function of acquiring a result as an evaluation result by the expressor.