KR102467567B1 - Method and apparatus for art price estimation - Google Patents

Abstract

The present specification relates to an apparatus and method for estimating a market price of an art work, and the method for estimating a market price of an art work according to an embodiment of the present specification includes: storing basic auction product information and auction transaction information of auction items in a transaction list DB; Selecting a preset number of similar product candidates, which are standards for estimating the market price of an art object subject to market price estimation, by applying weights to an evaluation formula for each evaluation factor; providing an expert terminal with a first interface for raising objections to similar product candidates; selecting a similar product based on consent or objection to each similar product candidate received through the first interface; and estimating a market price range for the art work based on the market prices of the similar products, and adjusting the weight based on consent or objection to each similar product candidate received through the first interface.

Description

Art price estimation method and apparatus {METHOD AND APPARATUS FOR ART PRICE ESTIMATION}

At least some of the embodiments of the present specification relate to a method and apparatus for estimating market prices of a plurality of works of art in a fair and objective way. More specifically, it relates to a method for estimating market prices of works of art using auction records to estimate market prices of works of art.

In the case of a normal auction item, the auction item is returned to the successful bidder according to the end of the successful bid, and the auction procedure is completed. After that, the information about the auction item and the successful bidder disappears. In addition, bidders who do not win the bid also purchase a substitute product other than the auction product.

Unlike this, when works of art and rare objects (hereinafter referred to as works of art) are auctioned off, they have the following characteristics: First of all, there is no substitute for auction items, and uniqueness and value scarcity exist, so the price rises over time according to the inflation rate. If the value of artistic collection is added here, the price may soar to the ceiling. In addition, users who bid for the auction item but did not win the bid tend to purchase the auction item at the next opportunity. Therefore, even after the end of the auction, it is desired to know the current status and price situation of the auction item. In addition, the successful bidder also wants to confirm the value of the auction item he owns over time and wants to resell it at a higher price.

On the other hand, the price of art has the following characteristics. First, it is priced by absolute evaluation according to unique value. Therefore, the price the owner sets becomes the price. However, according to the evaluation of experts who can estimate the market price of art works, it is possible to set a reasonable relative value price.

In this situation, in order to ensure the soundness of market transactions for art and rare items, the absolute price called by the owner is important, but the relative price set by experts considering the market value is also important. This is because these days, art works can be traded for investment purposes, so it is necessary to present a reasonable market price and price direction from an investment perspective for buyers who do not have relatively artistic expertise.

On the other hand, experts capable of estimating the market price of artworks estimate the price based on their own know-how. Therefore, since the price estimated by experts depends on the expertise of data research and evaluation, reliability cannot be guaranteed.

Therefore, a new method of estimating the market price of works of art that can provide a market price estimation process and give higher reliability to the result based on fairness and objectivity is required.

An object of an embodiment of the present specification is to provide a method and apparatus for estimating the market price of an art work, which can significantly improve fairness and objectivity based on finding a factor closely related to the market price of an art work.

A method for estimating a market price of an art product by an apparatus for estimating a market price of an art product according to an embodiment of the present specification, comprising: storing basic auction product information and auction transaction information of auction items in a transaction list DB; Selecting a preset number of similar product candidates, which are standards for estimating the market price of an art object subject to market price estimation, by applying weights to an evaluation formula for each evaluation factor; providing an expert terminal with a first interface for raising objections to similar product candidates; selecting a similar product based on consent or objection to each similar product candidate received through the first interface; and estimating a market price range for the art work based on the market prices of the similar products, and adjusting the weight based on consent or objection to each similar product candidate received through the first interface.

In one embodiment, the method for estimating market price of an art piece further comprises providing an expert terminal with a second interface for raising objections to the estimated market price range;

It is characterized in that an environmental constant applied to estimate the market price range is adjusted based on the market price adjustment range received through the second interface.

In one embodiment, the estimating a market price range for the art work based on the market prices of the selected similar products may include using a sold price of each of the selected similar products as a reference value; After normalizing the price by reflecting the number of similar products and the area of each similar product to the reference value, determining a median value of each normalized similar product; and calculating the market price in a predetermined minimum/maximum range based on the median value.

In one embodiment, it is characterized in that the market price range is adjusted by adjusting the median value by multiplying the median value of each of the similar products by the environmental constant.

In one embodiment, the evaluation formula for each evaluation factor is a previously stored formula for evaluating the degree of similarity between a work of art and a similar product for each evaluation factor, and a weight for each evaluation factor is set in advance.

In one embodiment, when an objection is received for each similar product candidate through the first interface, the weight is adjusted so that a value obtained by applying a weight to an evaluation calculation formula for each evaluation factor of the objection-raised similar product candidate is lowered. .

In one embodiment, the evaluation factor is characterized in that it includes at least one of the title of the work, the size of the work, the material, the production year, the presence or absence of a signature, and the auction date included in the basic information.

An evaluation apparatus according to an embodiment of the present specification may include: a storage unit for storing basic auction item information and auction transaction information of auction items in a transaction list DB; a communication unit for transmitting and receiving information with a pre-registered expert terminal; a similarity and price calculation module that selects a predetermined number of similar product candidates, which are standards for estimating market prices of auction items subject to market price estimation, by applying weights to an evaluation formula for each evaluation factor; a page providing module for providing a first interface for objecting to similar product candidates through the communication unit; and a feedback module for adjusting the weight based on an agreement or objection to each similar product candidate received through the first interface, wherein the similarity and quote calculation module is configured to determine the similar product candidate received through the first interface. It is characterized in that a similar product is selected based on an agreement or objection, and a market price range for the art work is estimated based on basic information and market prices of the selected similar products.

In one embodiment, the page providing module provides a second interface for objecting to the estimated market price range through the communication unit, and the feedback module is based on the market price adjustment range received through the second interface. The environmental constant applied to the estimation of the market price range is adjusted.

In one embodiment, the similarity and market price calculation module normalizes the price by taking the selling price of each of the selected similar products as a reference value and reflecting the number of similar products and the area of each similar product by using the reference value as the reference value. Then, the median value of each normalized similar product is determined, and the market price is calculated in a predetermined lowest and highest range based on the median value.

In one embodiment, the feedback module is characterized in that the market price range is adjusted by adjusting the median value by multiplying the median value of each similar product by the environmental constant.

In one embodiment, the storage unit is characterized in that it further includes a work name DB for evaluating the similarity of the work name and a material DB for evaluating the material.

In one embodiment, in one embodiment, the auction transaction information is characterized in that it includes a transaction date and time and transaction price.

These general and specific aspects may be practiced using a system, method, computer program, or any combination of systems, methods, or computer programs.

According to an embodiment of the present specification, an objective and reasonable market price estimation is possible by estimating a market price in consideration of an evaluation factor affecting an auction transaction market price and adjusting the market price according to an expert opinion.

In addition, it is possible to build a market price estimation system that can be continuously developed by self-learning only with the participation of a small number of authorized experts.

In addition, by providing objective and credible market price information, there is an effect of promoting activation of trading of art works.

1 is a block diagram showing the structure of a system for estimating the market price of an art work according to an embodiment of the present specification.
2 is a block diagram showing the configuration of a device for estimating the market price of an art work according to an embodiment of the present invention.
3 is a block configuration diagram of a terminal according to an embodiment of the present specification.
4 is a flowchart of a process of providing information through an information providing interface according to an embodiment of the present specification.
5 is a flowchart illustrating a method for estimating market price of an apparatus for estimating market price of an art work according to an embodiment of the present specification.
In FIG. 6 , a first interface for an expert to select a similar product is provided for each of a preset number of similar product candidates.
6 is a diagram showing a market price estimation method according to an embodiment of the present invention, and FIG. 7 is a flowchart for explaining the market price estimation method according to an embodiment of the present invention.
5 is a flowchart illustrating an evaluation method of an apparatus for estimating market price of an art work according to an embodiment of the present specification.
6 is an example of an interface page including a first interface according to an embodiment of the present invention.
7 is a diagram showing a market price estimation method according to an embodiment of the present invention.
8 is a flowchart for explaining a market price estimation method according to an embodiment of the present invention.
9 is an example of an interface page including a second interface according to an embodiment of the present invention.
10 is an example of an interface page including an additional interface page according to an embodiment of the present invention.

Hereinafter, embodiments of the present specification will be described in detail with reference to the accompanying drawings.

In describing the embodiments, descriptions of technical contents that are well known in the technical field to which this specification pertains and are not directly related to the present specification will be omitted. This is to more clearly convey the gist of the present specification without obscuring it by omitting unnecessary description.

For the same reason, in the accompanying drawings, some components are exaggerated, omitted, or schematically illustrated. Also, the size of each component does not entirely reflect the actual size. In each figure, the same reference number is assigned to the same or corresponding component.

Hereinafter, the present specification will be described with reference to drawings for explaining a method and apparatus for estimating the market price of an art work according to embodiments of the present specification.

1 is a block diagram showing the structure of a system for estimating the market price of an art work according to an embodiment of the present specification.

Referring to FIG. 1 , a system for estimating a market price of an art work according to an embodiment of the present specification may include one or more user terminals 10, an apparatus 100 for estimating a market price of an art work, and a plurality of expert terminals 20.

The user terminal 10 is a terminal for accessing the art piece price estimating device 100 through a communication network and inquiring information about the art piece, for example, a mobile phone, a smart phone, a PDA (personal digital assistants), a PC (personal computer), It may be implemented as an electronic device capable of performing other communications, receiving a user's input, and outputting a screen, such as a tablet personal computer (PC) and a notebook, or similar devices.

Here, the information on the art piece may include basic art piece information and market price information. Basic art information may include at least one of the name of the work, the size of the work, the material, the year of production, the date of sale, similarity with the basic work, and Activated.

Communication networks include TCP/IP, LAN (Local Area Network), WIFI, LTE (Long Term Evolution), WCDMA (Wideband Code Division Multiple Access), and other wired communication, wireless communication methods, and other communication methods known to date or to be known in the future. It can be implemented using at least some of them. Although much communication is performed through a communication network, reference to the communication network is omitted for brevity in the following description.

The expert terminal 20 is a terminal in which an expert participates in estimating the market price of an art product by accessing the art product price estimation device 100 through a communication network, for example, a mobile phone, a smart phone, a PDA (personal digital assistants), a PC (personal computer) It may be a terminal of various types, such as a tablet personal computer (PC), and a notebook. In addition, the expert may access the art product market price estimating device 100 through the expert terminal 20 to inquire information related to the art product or input data for objecting to the result of estimating the market price of the art product. Information input to the expert terminal 20 may be transmitted to the art work price estimation device 100 .

The art price estimation device 100 may be implemented as, for example, a workstation, a server, a general-purpose computer, an electronic device capable of performing other communications, or a device similar thereto. As will be described later, the art piece price estimating device 100 stores information on art pieces and auction items, estimates the price of the art piece based on machine learning, and provides art-related information to a requester upon request. For example, the art product market price estimating device 100 may estimate the market price of a registered art product according to a pre-stored market price estimation algorithm. The estimated market price information may be provided to the expert terminal 20 . When receiving an objection from the authoritative expert terminal 20, the art work price estimating device 100 adjusts and stores the price information, and learns the result of the adjustment. When a search request for art-related information is received from the user terminal 10, the art-piece price estimating device 100 may provide the stored art-related information. Here, the authoritative expert terminal 20 may be an expert terminal 20 of an expert pre-registered in the art price estimation device 100 . The art price estimating device 100 may perform an authentication procedure in order to determine whether the user is a pre-registered expert. The authentication procedure may be user authentication or terminal authentication that is widely known in advance, and since this is not directly related to an embodiment of the present invention, a detailed description thereof will be omitted.

The user terminal 10 and the expert terminal 20 may access the art price estimation device 100 through a web server (not shown). The user accesses the web server through the web browser of the user terminal 10, and then inputs necessary information, requests information, and checks information through the web interface.

When an application server is used instead of a web server, a separate protocol may be used instead of the web protocol. The user accesses an application server (not shown) through a separate application installed on the user terminal 10, and then inputs necessary information, requests information, and checks information through the application and the interface provided by the application server. can be done

In one embodiment, the web server may be implemented to be substantially included in the apparatus 100 for estimating the price of an artwork. Also, according to another embodiment, the web server may provide an interface for the expert terminal 20 as well as the user terminal 10 . For example, when the web server provides both an interface for the user terminal 10 and an interface for the expert terminal 20, the expert terminal 20 includes an interface for objection of selection of a comparison target for price estimation and/or An interface for raising an objection to a work of art with an estimated market price may be provided, and an interface for querying information on a work of art may be provided to the general user terminal 10 .

A detailed description of the market price estimation by the art price estimation device 100 will be described in detail later.

A detailed operating method of the art price estimation system of FIG. 1 will be described later with reference to FIGS. 2 to 10 .

2 is a block diagram showing the configuration of a device for estimating the market price of an art work according to an embodiment of the present invention.

Referring to FIG. 2 , the apparatus for estimating the market price of an art work according to an embodiment of the present specification may include a communication unit 110 , a control unit 120 and a storage unit 130 .

The communication unit 110 is a data transmission/reception device provided inside the art price estimation device 100, and transmits and receives information for price estimation with an external terminal through a communication network.

The communication unit 110 exchanges data with a user terminal ( 10 in FIG. 1 ), an expert terminal ( 20 in FIG. 1 ), and/or other external devices. The communication unit 110 transfers the received data to the control unit 120 . Also, the communication unit 110 transfers data to the user terminal 10 or the expert terminal 20 under the control of the controller 120 . The communication technology used by the communication unit 110 may vary depending on the type of communication network or other circumstances.

For example, the communication unit 110 may receive at least a portion of an art-related information inquiry request message and an objection message from a connected terminal. In addition, the communication unit 110 may provide a response message to the inquiry request message or objection message to the connected terminal. Here, the terminal may be either a user terminal (10 in FIG. 1) or an expert terminal (20 in FIG. 1).

The control unit 120 controls the overall operation and each component of the art price estimation device 100 . In particular, the control unit 120 stores the information received by the communication unit 110 in the storage unit 130, as will be described later, and acquires necessary information from the storage unit 130 according to the request message received by the communication unit 110. Generates responses to queries.

When the art price estimating device 100 transmits and receives data, it may be expressed that the communication unit 110 transmits and receives data under the control of the control unit 120 depending on the viewpoint, or the control unit 120 controls the communication unit 110 to transmit and receive data. It can also be expressed as sending and receiving.

In one embodiment, the controller 120 may include a similarity and quote calculation module 121, a page providing module 122, and a feedback module 123 according to functions for convenience of explanation.

The similarity and price calculation module 121 calculates the similarity by evaluation factor and the total similarity between the target product and the comparison target according to an equation previously stored in the storage unit 130 . In addition, the similarity and price calculation module 121 selects a preset number of similar product candidates based on the total similarity according to an arithmetic formula previously stored in the storage unit 130, and selects a market price range of the target product based on the market price of the similar product. calculate

The page providing module 122 provides an interface page for providing information to an expert terminal or a user terminal. For example, the page providing module 122 provides the expert terminal with an interface for confirming agreement or objection to a similar product candidate selected after the overall similarity is evaluated by the similarity and price calculation module 121 . In addition, the page providing module 122 provides the expert terminal with an interface for confirming agreement or objection to the price range of the target product estimated by the similarity and price calculation module 121 .

If an objection is raised from the expert terminal, the feedback module 123 adjusts a preset formula to converge to the result value of the expert terminal based on the objection raised. For example, the feedback module 123 reduces the total similarity of similar product candidates raised by experts, and increases the total similarity of comparable products selected as similar products by comparison target experts who have not been selected as similar product candidates. adjust the weights

The storage unit 130 serves to store programs and data necessary for the operation of the art price estimation device 100, and may be divided into a program area and a data area.

The program area includes a program for controlling the overall operation of the art price estimating device 100, an operating system (OS) for booting the art price estimating device 100, an application program necessary for playing multimedia contents, and the art price estimating device 100. ) can store applications necessary for estimating market prices. The data area is an area where data generated according to the operation of the art price estimation device 100 is stored, and includes a transaction list DB in which basic information of auction items registered in the art price estimation device 100 is registered, and a title word for art evaluation. DB, material word DB information, etc. can be stored. In addition, an expert DB for storing registered expert information may be further included.

A detailed operation of each component of FIG. 2 will be described later with reference to FIGS. 4 to 10 .

3 is a block configuration diagram of a terminal according to an embodiment of the present specification.

Referring to FIG. 3 , a terminal 200 according to an embodiment of the present specification includes the user terminal 10 or expert terminal 20 described in FIG. 1 .

The terminal 200 may include an input unit 210, a display unit 220, a communication unit 230, a storage unit 240, and a control unit 250.

The input unit 210 converts the user's input operation into an input signal and transmits it to the control unit 250. The input unit 210 may be implemented as, for example, a keyboard, a mouse, a touch sensor on a touch screen, a touch pad, a keypad, voice input, and other input processing devices that are currently available in the past or will be available in the future. For example, the input unit 210 may receive a user's information provision request input and transmit it to the control unit 250 .

The display unit 220 outputs a screen according to the control of the controller 250 . The display unit 220 may be implemented as, for example, a liquid crystal display (LCD), a light emitting diode (LED), an organic light emitting diode (OLED), a projector, or other display devices currently available in the past or to be available in the future. The display unit 220 may display, for example, an interface page for providing information or a page for providing information. Depending on embodiments, a component that uses other methods capable of delivering information to a user, such as audio output or vibration instead of screen output, may be used instead of the display unit 220 .

The communication unit 230 exchanges data with the art price estimation device 100 and/or other external devices. The communication unit 230 transfers the data received from the art price estimating device 100 to the controller 250 . In addition, the communication unit 230 transmits data to the art price estimation device 100 under the control of the control unit 250 . The communication technology used by the communication unit 230 may vary depending on the type of communication network 150 or other circumstances.

The storage unit 240 stores data under the control of the control unit 250 and transmits the requested data to the control unit 250 .

The control unit 250 controls the overall operation of the terminal 200 and each component. As will be described later, in particular, the control unit 250 transmits an information provision request and other data to the art piece price estimating device 100 according to the information input from the input unit 210, and the page information received from the art price estimating device 100. Accordingly, a result page and/or an interface page are displayed through the display unit 220 .

When the terminal 200 transmits and receives data, it may be expressed that the communication unit 230 transmits and receives data under the control of the control unit 250 depending on the viewpoint, or the control unit 250 controls the communication unit 230 to transmit and receive data. can also express

Detailed operations of each component of the terminal 200 will be described later with reference to FIGS. 4 to 9 .

4 is a flowchart of a process of providing information through an information providing interface according to an embodiment of the present specification.

In step 410, the control unit 120 of the art price estimation device 100 generates interface page information. Interface page information is information required to create an interface page. The interface page is a page for inducing a user's input, receiving the user's input, and transferring the user's input to the art work price estimation device 100 . For example, interface page information may be in the form of HTML documents or other markup language documents. In another embodiment, the terminal 200 may have format information of the interface page in advance, and only items corresponding to the contents may be transmitted from the apparatus 100 for estimating the price of an artwork to the terminal 200 . Hereinafter, for convenience, it is assumed that interface page information or other page information is transmitted in the form of an HTML document. However, the scope of rights of this specification is not limited thereto.

In step 420, the communication unit 110 of the art price estimation device 100 transfers the interface page information to the terminal 200.

In step 430, the control unit 250 of the terminal 200 configures an interface page using the interface page information. For example, the controller 250 may configure an interface page in the form of a web page by driving a web browser and interpreting an HTML document. A separate application may be used instead of the web browser.

In step 440, the display unit 220 of the terminal 200 displays an interface page to the user 400. The interface page may include, for example, an interface through which the user 400 may request provision of information, input and/or select keywords for provision of information, and set settings for provision of other information.

In step 450, the input unit 210 of the terminal 200 receives the selection input of the user 400 input through the interface page and transfers it to the control unit 250.

In step 460, the communication unit 230 of the terminal 200 transmits input information for identifying the user's selection input to the art price estimation device 100 under the control of the control unit 250.

In step 470, the control unit 120 of the art price estimation device 100 generates result page information using a user's input (eg, keywords and/or other information provision setting). A preparation process for generating result page information and a process for generating result page information will be described later with reference to FIGS. 5 to 9 . Result page information may be configured in HTML document format and/or image format, for example.

In step 480, the communication unit 110 of the art price estimation device 100 transfers the result page information to the terminal 200.

In step 490, the control unit 250 of the terminal 200 configures a result page by using the result page information received by the communication unit 230. For example, the controller 250 may compose a result page by interpreting result page information in HTML format.

In step 495, the display unit 220 of the terminal 200 provides a result page to the user.

In the embodiment of FIG. 4, it is assumed that a page in a visual form is provided to the user, but it is also possible to provide an interface or result information through voice. In this case, an audio output unit may be used instead of the display unit 220 . Instead of the visual/auditory interface, other interface methods currently available or to be available in the future may be used in relation to the user 400 . In this case, the art price estimating device 100 may provide the terminal 200 with information converted in a different way instead of page information to suit the interface method.

5 is a flowchart illustrating a method for estimating market price of an apparatus for estimating market price of an art work according to an embodiment of the present specification.

In step S110, the art price estimating device stores the transaction record in the transaction list DB. Transaction records include basic information on auction items and auction transaction information. Step S110 may be performed with an administrator's input or received from an external system through a network or a storage medium.

In step S120, the art product market price estimating device selects a similar product candidate that is a standard for estimating the market price of the art product (hereinafter referred to as the object product) to be estimated market price from the transaction list DB. Here, similar product candidates are selected based on the degree of similarity with the target product. After the similarity is evaluated for each of the preset evaluation factors, the final similarity is calculated by adding a preset weight to the similarity of each evaluation factor. Here, the evaluation factor may include at least one of the title of the work, the size of the work, the material, the year of production, the existence of a signature, and the auction date. In addition, each weight is initially registered by a manager and then changed by an art work price estimating device that has learned the result selected according to the expert's objection.

The similarity evaluation method for each evaluation factor is described below.

The similarity of the evaluation factor 'work title' compares the title of the work to be compared with the title of the work to be compared, and the more similar the title, the higher the similarity of the same work or series.

The similarity evaluation score calculation formula for the evaluation factor 'title' is,

The number of standard words of the target (A) for market price estimation matched by the target of comparison (B) ÷ The number of standard words of A Х 10

Same as

Here, the standard word is a word included in the pre-registered title word DB for each artist. For example, if the work name of the market price estimation target (A) is 'Flowers (F&S 2.11)' and the comparison target (B) title is 'Flowers 6set', Since both of them correspond to 'Flowers' on the standard word, the similarity evaluation score for 'title of work' can be 1 ÷ 1 × 10 = 10.

The similarity of the evaluation factor 'material' compares the material of the work subject to market price estimation with the material of the work to be compared, and the more similar the material, the higher the similarity of the same work or series.

The similarity evaluation score calculation formula for the evaluation factor 'material' is,

The number of standard words of the target (A) for market price estimation matched by the target of comparison (B) ÷ The number of standard words of A Х 10

Same as

Here, the standard word is a word included in the material word DB that is managed by itself. For example, if the material of the market price estimation target (A) is 'oil on canvas' and the comparison target (B) material is 'acrylic on canvas', the market price estimation target The material standard words of (A) are 'oil' and 'canvas', and the material standard words of the comparison target (B) are 'acryl' and 'canvas', so according to the similarity evaluation score calculation formula for the material, 'material' The similarity evaluation score for may be 1 ÷ 2 × 10 = 5.

The similarity of the evaluation factor 'production year' compares the production year of the work of the market price estimation target with the production year of the comparison target, and the more similar the production year, the higher the similarity of the same work or the same series.

The similarity evaluation score calculation for the evaluation factor 'year of manufacture' is performed according to the following formula set in advance. The calculation formula for the similarity evaluation score for 'production year' is determined by policy according to the difference in production years of the two works.

for example,

10 if B and A intersect

9 if B intersects A±1

7 if B intersects A±3

5 if B intersects A±5

3 if B intersects A±10

1 if B does not intersect A±10

0 if the production year is not known

Same as

For example, if the year of the market price estimation target (A) is 1987-1988 and the year of the comparison target (B) is 1990, there is a difference of 3 years between the production years of A and B, so 7 points.

The similarity of the evaluation factor 'work size' compares the size of the work to be compared with the size of the work to be compared, and the similarity of the same work or series is highly evaluated.

The similarity evaluation score for the evaluation factor 'work size' is calculated according to the following formula set in advance. The calculation formula for the similarity evaluation score for 'work size' is determined by policy according to the ratio of the size of the work.

for example,

10 if B is A±10%;

8 if B is within A±30%,

5 if B is within A±50%;

3 if B is within A±100%,

1 if B is greater than A±100%;

0 if there is no size value

Same as For example, if the size of the market price estimation target (A) is 30 x 10 cm and the size of the comparison target (B) is 20 x 20 cm, the size of A and B is about 33% different, so 5 points.

The similarity for the evaluation factor 'signed presence/absence' compares the signature presence/absence of the market price estimation target with the signature presence/absence of the comparison target, and obtains a similarity score if the signature presence/absence is the same.

For example, since A has no signature and B has a signature, the similarity score is 0.

As for the similarity with respect to the evaluation factor 'auction date', a higher score is obtained as the auction date of the comparison object is more recent. However, the number of days until the validity limit is determined so that the linear score change occurs only until that date.

The similarity evaluation score calculation formula for the evaluation factor 'auction date' is,

(Limit of Effectiveness - B) χLimit of Effectiveness x 10

Same as Here, when the result is a negative number, the similarity for the evaluation factor 'auction date' is set to 0.

After the similarity of each evaluation factor is calculated, the final similarity for the comparison target is calculated.

As described above, the final similarity is proportional to a value obtained by multiplying each weight by the similarity evaluation score of each evaluation factor.

The final similarity is expressed as Equation 1.

[Equation 1]

= 항목별 평가점수 here,

= Evaluation score for each item

= 항목별 평가점수 만점

= perfect score for each item

= 항목별 유사도

= Similarity by item

=유사도 만점

= Perfect score for similarity

Y = total similarity

indicates

The art price estimation device calculates the similarity by applying weights for each factor based on the machine-learned similarity evaluation model, and selects a preset number (eg, 7) similar product candidates based on the total score based on the similarity of each factor. For example, assuming that there are 20 works with a total score of 80 or more, the top 7 similar product candidates are selected.

In step S130, the apparatus for estimating market price of a work of art provides first interface information for objection including information on the selected similar product candidate to the expert terminal.

6 is an example of an interface page including a first interface according to an embodiment of the present invention.

In FIG. 6 , a first interface 510 is provided for an expert to select a similar product for each of a preset number of similar product candidates.

The expert may display an interface page as shown in FIG. 6 or similar thereto through the expert terminal 20 .

The expert terminal 20 receives the first interface information, displays an interface page for objection, and transmits information input through the interface page displayed by the expert to the art price estimation device.

Through the interface page, the expert can check work information 520 for the target product (standard work), market price calculation information 530 for the target product, and information 540 for each similar product candidate of a pre-selected number.

The work information 520 for the target product (standard work) includes basic information of the work, and may further include a registered date and time of the target product and a recent modification date and time. The information 540 on similar product candidates may include evaluation factors.

The interface page includes a first interface 510 through which an expert may agree or object to selection of a similar product for each of a preset number of similar product candidates. An expert can select a similar product by switching on/off of the 'Activated' item of 'similar products' included in the first interface 510 .

When the device for estimating the market price of an art piece receives an agreement on the selection of a similar product or a result thereof from the expert terminal 20, it is connected to the subject and stored in the storage unit.

In step S140, the art work price estimating device corrects the weight value for each factor based on the information received from the expert terminal, and selects one or more similar products to be compared. Hereinafter, for convenience of description, the selected similar product is referred to as a lot.

In step S130, when an expert raises an objection to the selection of a similar product by switching on/off through the first interface in step S130, the weight of each item is set so that the total similarity of the selected similar product is lowered to the ON/OFF cut-off score. automatically adjust

In addition, when the expert switches off to on through the first interface in step S130 to select a similar product that has not been selected, the art work price estimating device sets the weight of each item so that the total similarity of the similar product is raised to the ON/OFF cut-off score. automatically adjust

The art price estimation device repeats this process and repeatedly learns while adjusting the learning rate to select similar products.

This learning rate correction formula can be expressed as Equation 2.

[Equation 2]

= 보정 전 항목의 가중치here,

= weight of item before correction

= 항목의 가중치 보정값

= the item's weight correction value

= 보정된 항목의 가중치

= weight of calibrated item

β = correction bias

α = learning rate

indicates

In step S150, the art work price estimating device estimates the market price of the object by referring to the evaluation factor of the lot. The art work price estimating device estimates the market price of the object based on the machine-learned market price estimation model.

Market price estimation will be described with reference to FIG. 7 .

7 is a diagram showing a market price estimation method according to an embodiment of the present invention, and FIG. 8 is a flowchart for explaining the market price estimation method according to an embodiment of the present invention.

Referring to Figures 7 and 8, the market price of the artwork is estimated based on the price of one or more selected lots. At this time, it is converted into a predetermined currency, for example, USD.

In step S710, a reference value for each lot is obtained.

In order to calculate the standard value of a lot, the sales status of the lot is first checked. If the lot is not sold, the amount lowered by a preset percentage (eg 10%) from the minimum price of the lot is used as the reference value. If a lot is sold, the selling price is the reference value.

In step S720, the reference value is normalized by converting the corresponding value into units of the same work size.

Next, the standard value is normalized by reflecting the number of works and the area of works. For example, a value obtained by dividing the reference value by the number of works can be obtained, divided by the area of the work, and then multiplied by the area of the reference work again to normalize.

In step S730, the next median is obtained.

After all similar lots are ranked in ascending order by the normalized reference value, if the number of works is odd, the median value is determined by the value of the lot listed in the middle. If the number of works is even, the average value of the two most central lots is determined as the median value.

In step S740, the value determined in the lowest/highest range according to the price is set as the market price of the reference work.

The minimum/maximum range according to the price follows the preset range according to the median price. The preset range can be set and changed by an administrator.

For example, if the median value is less than 100,000 USD, the range is set by setting -50% of the median as the minimum value and +100% as the maximum value. If the next median value is between 10 and 5 million USD, set the range by setting -50% of the median as the minimum value and +50% as the maximum value. If the next median exceeds 5 million USD, the range is set with -10% of the median as the minimum value and +10% as the maximum value.

Returning to FIG. 5 again, in step S160, the apparatus for estimating the market price of the art piece provides second interface information for objection including information on the estimated market price of the object to the expert terminal.

The expert terminal receives the second interface information, displays an interface page for objection, and transmits information input through the interface page displayed by the expert to the art price estimation device. For example, information input through an interface page may be an adjustment value obtained by adjusting an estimated market price of a target product.

9 is an example of an interface page including a second interface according to an embodiment of the present invention, and FIG. 10 is an example of an interface page including an additional interface page according to an embodiment of the present invention.

Referring to FIG. 9 , an interface page including a second interface capable of adjusting an estimated market price of a target product includes a region providing work information of the target product and market price calculation information of the target product. The work information of the subject product includes the basic information of the work, the number of times of price calculation, the date of registration and the date of last modification, and the price calculation information includes the price identifier, author, author type, use status, registration date, latest modification date, automatic calculation result and Include final results. The interface page includes an interface 810 for adding a quote near the work information display area and an interface 820 for modifying a final result in quote calculation information.

When the interface page 810 is selected by the operator, the additional interface page of FIG. 10 is provided to the operator terminal.

Referring to FIG. 10 , the market price can be adjusted through an additional interface page.

In addition to the price adjustment window, the additional interface page provides an interface for recording price identifier, author, author type, usage status, price, and comments for exposure.

Also, the additional interface page may provide a save button 910 and a delete button 920 so that the expert can save or delete recorded information through the additional interface page.

Returning to FIG. 5 again, in step S170, the price estimating device for the art piece adjusts the price based on the information received from the expert terminal. The 'environmental constant' is adjusted in a direction in which the difference between the market price adjusted by the expert and the market price estimated in step S150 is reduced. If the estimated price is the same as the price adjusted by the expert, the environmental constant becomes 1, the default value.

In one embodiment, the environmental constant may be applied to the median value determined in step 730 of FIG. 8 . For example, the median value may be adjusted by multiplying the determined median value by an environmental constant so that the market price range may be adjusted.

According to an embodiment of the present invention, a market price estimation system that can be continuously developed by self-learning can be built with only a small number of authorized experts participating in the current art market, where reference information is limited for popularization of art trade. In addition, standardized market price adjustment rules or processes can be disclosed to users to increase the reliability of data.

At this time, it will be understood that each block of the process flow chart diagrams and combinations of the flow chart diagrams can be performed by computer program instructions. These computer program instructions may be embodied in a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, so that the instructions executed by the processor of the computer or other programmable data processing equipment are described in the flowchart block(s). It creates means to perform functions. These computer program instructions may also be stored in computer usable or computer readable memory that can be directed to a computer or other programmable data processing equipment to implement functionality in a particular way. The computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operational steps are performed on the computer or other programmable data processing equipment to create a computer-executed process to generate computer or other programmable data processing equipment. Instructions for performing processing equipment may also provide steps for performing the functions described in the flowchart block(s).

At this time, the term '~unit' used in this embodiment means software or a hardware component such as FPGA or ASIC, and '~unit' performs certain roles. However, '~ part' is not limited to software or hardware. '~bu' may be configured to be in an addressable storage medium and may be configured to reproduce one or more processors. Therefore, as an example, '~unit' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. Functions provided within components and '~units' may be combined into smaller numbers of components and '~units' or further separated into additional components and '~units'. In addition, components and '~units' may be implemented to play one or more CPUs in a device or a secure multimedia card.

Those of ordinary skill in the art to which this specification belongs will be able to understand that this specification can be implemented in other specific forms without changing its technical spirit or essential features. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. The scope of the present specification is indicated by the claims to be described later rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts thereof are included in the scope of the present specification. should be interpreted

On the other hand, the present specification and drawings disclose preferred embodiments of the present specification, and although specific terms are used, they are only used in a general sense to easily explain the technical content of the present specification and help understanding of the present invention, It is not intended to limit the scope of the specification. In addition to the embodiments disclosed herein, it is obvious to those skilled in the art that other modified examples based on the technical spirit of the present specification may be implemented.

10: user terminal
20: multiple expert terminals
100: art price estimator
110: Communication Department
120: control unit
121: similarity and quote calculation module
122: page serving module
123: feedback module
130: storage unit
140: ranking selection unit
150: Expert competency evaluation department
160: storage unit

Claims (16)

In the art price estimation method of the art price estimation device,
Storing basic auction item information and auction transaction information of auction items in a transaction list DB;
Selecting a preset number of similar product candidates, which are standards for estimating the market price of an art object subject to market price estimation, by applying weights to an evaluation formula for each evaluation factor;
providing an expert terminal with a first interface for raising objections to similar product candidates;
selecting a similar product based on consent or objection to each similar product candidate received through the first interface; and
Estimating a market price range for the art work based on the market price of the similar product
including,
Adjusting the weight based on consent or objection to each similar product candidate received through the first interface;
The evaluation formula for each evaluation factor is a formula stored in advance to evaluate the degree of similarity between the art work and the similar product for each evaluation factor, and a weight for each evaluation factor is set in advance;
When an objection is received for each similar product candidate through the first interface, the weight is adjusted so that a value obtained by applying a weight to an evaluation calculation formula for each evaluation factor of the objection similar product candidate is lowered.
According to claim 1,
Further comprising providing an expert terminal with a second interface for raising objections to the estimated market price range;
and adjusting an environmental constant applied to the estimation of the market price range based on the market price adjustment range received through the second interface.
According to claim 2,
The step of estimating the market price range for the art work based on the market price of the selected similar products,
A method of estimating market price of an art work, characterized in that it comprises a step of using the selling price of each of the selected similar products as a reference value.
delete delete delete According to claim 1,
Wherein the evaluation factor includes at least one of the name of the work, the size of the work, the material of the work, the year of production, the presence or absence of a signature, and the auction date included in the basic information.
a storage unit for storing basic auction item information and auction transaction information of auction items in a transaction list DB;
a communication unit for transmitting and receiving information with a pre-registered expert terminal;
a similarity and price calculation module that selects a predetermined number of similar product candidates, which are standards for estimating market price for art objects subject to market price estimation, by applying weights to an evaluation formula for each evaluation factor;
a page providing module for providing a first interface for objecting to similar product candidates through the communication unit; and
A feedback module for adjusting the weight based on consent or objection to each similar product candidate received through the first interface.
including,
The similarity and price calculation module,
Selecting a similar product based on consent or objection to each similar product candidate received through the first interface, estimating a market price range for the art work based on basic information and market prices of the selected similar products;
When an objection is received for each similar product candidate through the first interface, the feedback module adjusts a weight so that a value obtained by applying a weight to an evaluation calculation formula for each evaluation factor of the objection similar product candidate is lowered. A price estimation device.
According to claim 8,
The page providing module provides a second interface for objecting to the estimated market price range through the communication unit;
wherein the feedback module adjusts an environmental constant applied to estimate a market price range based on the market price adjustment range received through the second interface.
According to claim 9,
The similarity and price calculation module
Taking the selling price of each of the selected similar products as a reference value, normalizing the price by reflecting the number of similar products and the area of each similar product with the reference value as the reference value, and then determining the median value of each normalized similar product, An apparatus for estimating the market price of an art work, characterized in that for calculating the market price in a predetermined lowest and highest range based on the median value.
According to claim 10,
Wherein the feedback module adjusts the market price range by multiplying the median value of each similar product by the environmental constant and adjusting the median value.
[Claim 9] The apparatus of claim 8, wherein the evaluation formula for each evaluation factor is a previously stored formula for evaluating the degree of similarity between the art work and the similar product for each evaluation factor, and a weight for each evaluation factor is set in advance.
delete According to claim 8,
The evaluation factor includes at least one of the name of the work, the size of the work, the material, the year of production, the presence or absence of a signature, and the auction date included in the basic information.
According to claim 14,
The storage unit further comprises a work name DB for evaluating the similarity of the work name and a material DB for evaluating the material.
According to claim 8,
The auction transaction information includes a transaction date and time and a transaction price.

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