KR102657554B1 - Apparatus and method for transaction intermediary storytelling data - Google Patents

Abstract

The present invention relates to a storytelling data transaction mediation device and method.
An electronic device according to an embodiment of the present invention includes a memory and a processor connected to the memory, wherein the processor receives storytelling data to be sold from a producer terminal and stores the storytelling data. Analyzing, calculating the selling price of the storytelling data, corresponding to the purchase purpose of purchasing the storytelling data from the purchaser terminal, media information about the publishing medium that wishes to post the storytelling data, and the subject of the storytelling data Receive purchase desire information including a first topic keyword, match the storytelling data based on the purchase desire information, and transmit the matched storytelling data and the sales price of the storytelling data to the buyer terminal. can do.

Description

Storytelling data transaction mediation device and method {APPARATUS AND METHOD FOR TRANSACTION INTERMEDIARY STORYTELLING DATA}

The present invention relates to a storytelling data transaction mediation device and method.

Unless otherwise indicated herein, the material described in this section is not prior art to the claims of this application, and is not admitted to be prior art by inclusion in this section.

The purpose of posting a post on a blog is to make your post public to people, but you can also post it to attract people to your blog by having people search for the post.

In the latter case, the standards for having your writing exposed when people search for specific keywords are ambiguous, so you may experience a lot of trial and error, and you may have difficulty writing articles consistently.

Accordingly, we would like to propose a technology that mediates storytelling data that can be posted on blogs and other published media.

Korean Patent No. 10-1055388 (2011.08.02.)

One embodiment of the present invention provides a storytelling data transaction mediation device and method.

The technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below. You will be able to.

In order to achieve the above-described object, an electronic device according to an embodiment of the present invention includes a memory and a processor connected to the memory, and the processor stores storytelling data to be sold from a producer terminal. Receive, analyze the storytelling data, calculate the selling price of the storytelling data, purchase purpose of purchasing the storytelling data from the buyer terminal, media information about the publishing medium wishing to post the storytelling data, and Receive purchase desire information including a first topic keyword corresponding to the subject of the storytelling data, match the storytelling data based on the purchase desire information, and match the storytelling data and the storytelling data. The sales price can be transmitted to the buyer terminal.

At this time, the processor extracts the number of characters, number of videos, and video length of the video included in the storytelling data, removes postpositions from all words included in the storytelling data, and extracts a plurality of basic keywords, Among the plurality of basic keywords, a second topic keyword that is repeatedly included more than a preset standard repetition number is extracted, an issue weight for the second topic keyword is calculated, a preset basic price, the issue weight, the number of characters, The selling price of the storytelling data can be calculated based on the number of videos and the video length.

At this time, the issue weight is calculated according to the equation below,

IW (Issue Weight) refers to the issue weight, KSS (Keyword Search Score) refers to the search volume of the second topic keyword during a preset period on a preset portal site, and AKSS (Average Keyword Search Score) refers to the above It may refer to the individual average search volume of all keywords searched during a preset period on the portal site.

At this time, the sales price is calculated by the equation below,

SP (Sales Price) refers to the sales price, BP (Base Price) refers to the basic price, and AVL (Average Video Length) is the average of the videos included in posts uploaded to the portal site during a preset period. Means the video length, VL (Video Length)_n means the video length of the nth video included in the storytelling data, and ANIV (Average Number of Included Video) is the video length of the nth video included in the storytelling data, and ANIV (Average Number of Included Video) is the video length of the nth video included in the storytelling data. This may mean the average number of videos included in a post.

At this time, the processor calculates the price adjustment coefficient according to sales based on the average first sale price, average final sale price when sales stop, and average number of sales of other storytelling data with the same subject keyword as the second subject keyword. The selling price can be adjusted according to the number of units sold by calculating and reflecting the price adjustment coefficient in the selling price.

At this time, the price adjustment coefficient is calculated by the equation below,

PAF (Price Adjustment Factor) refers to the price adjustment coefficient, ALSP (Average Last Sales Price) refers to the average final sales price, and AFSP (Average First Sales Price) may refer to the average first sales price. .

At this time, the selling price reflecting the price adjustment coefficient is calculated using the equation below,

'SP' may refer to the selling price reflecting the price adjustment coefficient.

At this time, the processor generates search results for each of the plurality of publishing media based on a plurality of second topic keywords included in the plurality of received storytelling data, and for each of the plurality of publishing media based on the search results. The main search results searched within the preset search result area are extracted, a standard number of characters and a standard number of videos are generated based on the number of characters and the number of videos included in the posts included in the main search results, and the first topic keyword is generated. Extract first storytelling data including the second topic keyword corresponding to, and when the number of characters included in the first storytelling data exceeds the standard number of characters, a matching point for the first storytelling data is added, and when the number of videos included in the first storytelling data exceeds the reference video number, matching points are added to the second storytelling data, and the first storytelling data is selected in the order of the highest matching point. Storytelling data can be sorted and transmitted to the buyer terminal.

In this way, according to an embodiment of the present invention, a storytelling data transaction mediation device and method can be provided.

The effects that can be obtained from the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the description below. will be.

The above-described and other aspects, features and benefits of certain preferred embodiments of the present invention will become more apparent from the following description taken in conjunction with the accompanying drawings.
Figure 1 is a conceptual diagram of a storytelling data transaction mediation device according to an embodiment of the present invention.
Figure 2 is a block diagram of an electronic device according to an embodiment of the present invention.
Figure 3 is a diagram showing analysis of storytelling data according to an embodiment of the present invention.
Figure 4 is an example diagram of extracting a second topic keyword from storytelling data according to an embodiment of the present invention.
Figure 5 is an example diagram implemented as a web page according to an embodiment of the present invention.
Figure 6 is a flowchart of a storytelling data transaction brokerage method according to an embodiment of the present invention.
It should be noted that throughout the drawings, like reference numerals are used to illustrate identical or similar elements, features and structures.

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

In describing the embodiments, description of technical content that is well known in the technical field to which the present invention belongs and that is not directly related to the present invention will be omitted. This is to convey the gist of the present invention more clearly without obscuring it by omitting unnecessary explanation.

For the same reason, some components are exaggerated, omitted, or schematically shown in the accompanying drawings. Additionally, the size of each component does not entirely reflect its actual size. In each drawing, identical or corresponding components are assigned the same reference numbers.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure of the present invention is complete and to provide common knowledge in the technical field to which the present invention pertains. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

At this time, it will be understood that each block of the processing flow diagrams and combinations of the flow diagram diagrams can be performed by computer program instructions. These computer program instructions can be mounted on a processor of a general-purpose computer, special-purpose computer, or other programmable data processing equipment, so that the instructions performed through the processor of the computer or other programmable data processing equipment are described in the flow chart block(s). It creates the 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 a function in a particular manner, so that the computer-usable or computer-readable memory The instructions stored in may also produce manufactured items containing instruction means that perform the functions described in the flow diagram block(s). Computer program instructions can also be mounted 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 generate a process that is executed by the computer, thereby generating a computer or other programmable data processing equipment. Instructions that perform processing equipment may also provide steps for executing the functions described in the flow diagram block(s).

Additionally, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). Additionally, it should be noted that in some alternative execution examples it is possible for the functions mentioned in the blocks to occur out of order. For example, it is possible for two blocks shown in succession to be performed substantially at the same time, or it is possible for the blocks to be performed in reverse order depending on the corresponding function.

At this time, the term '~unit' used in this embodiment refers to software or hardware components such as FPGA (field-programmable gate array) or ASIC (Application Specific Integrated Circuit), and '~unit' refers to what role perform them. However, '~part' is not limited to software or hardware. The '~ part' may be configured to reside in an addressable storage medium and may be configured to reproduce on one or more processors. Therefore, as an example, '~ part' 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. The functions provided within the components and 'parts' may be combined into a smaller number of components and 'parts' or may be further separated into additional components and 'parts'. In addition, the components and 'parts' may be implemented to regenerate one or more CPUs within the device or secure multimedia card.

In explaining the embodiments of the present invention in detail, the main focus will be on examples of specific systems, but the main point claimed in this specification is that the scope disclosed in this specification is applicable to other communication systems and services with similar technical background. It can be applied within a range that does not significantly deviate, and this can be done at the discretion of a person with skilled technical knowledge in the relevant technical field.

Figure 1 is a conceptual diagram of a storytelling data transaction mediation device 100 according to an embodiment of the present invention.

Referring to FIG. 1, the storytelling data transaction brokerage device 100 according to an embodiment of the present invention receives storytelling data from the producer terminal 200 and purchase desire information from the buyer terminal 300, It is possible to calculate the appropriate price of storytelling data and provide storytelling data suitable for the purchaser's purchase information to the buyer. Meanwhile, the storytelling data transaction brokerage device 100 may also be referred to as the 'electronic device 100' in the present invention.

At this time, the producer terminal 200 and the buyer terminal 300 are communication capable desktop computers, laptop computers, laptops, smart phones, tablet PCs, Mobile phone, smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera, DMB (digital multimedia broadcasting) player, digital audio recorder, digital audio player, digital video recorder, digital video player, PDA (Personal Digital Assistant), etc. may include.

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Figure 2 is a block diagram of an electronic device 100 according to an embodiment of the present invention.

The electronic device 100 according to one embodiment includes a processor 110 and a memory 120. The processor 110 may perform at least one method described above. The memory 120 may store information related to the above-described method or store a program implementing the above-described method. Memory 120 may be volatile memory or non-volatile memory. The memory 120 may be called a 'database', a 'storage unit', etc.

The processor 110 can execute programs and control the electronic device 100. The code of the program executed by the processor 110 may be stored in the memory 120. The device 100 is connected to an external device (eg, a personal computer or a network) through an input/output device (not shown) and can exchange data.

At this time, the processor 110 may receive storytelling data to be sold from the producer terminal 200.

At this time, storytelling data is about posts uploaded to publishing media such as blogs, Tistory, news, SNS, etc., and can consist of text, images, videos, etc., and is a single file with the extension ipynb based on Python. It can be one document.

At this time, the processor 110 can analyze the storytelling data and calculate the selling price of the storytelling data.

This is to identify search exposure, which is the actual function of the storytelling data produced by the producer, and calculate the sales price based on this.

Referring to FIG. 3, the processor 110 can extract the number of characters, number of videos, and video length of the video included in the storytelling data.

In general, posts based on storytelling data posted on portal sites, blogs, SNS, etc. have higher search exposure if the number of characters is more than a certain number, if the video is included, or if the video is longer than a certain length. high.

Therefore, storytelling data with high search exposure can be judged to have high value, and the sales price can be set based on this.

Additionally, there are cases where a specific topic becomes an issue as the search volume increases during a specific period. For example, in the last week of December, keywords such as 'Christmas', 'New Year', and 'gift' may become hot topics and increase search volume. Therefore, it is desirable to increase the value of storytelling data written on topics related to these issues.

Accordingly, a process of extracting the topic keywords of the relevant storytelling data is necessary.

Figure 4 is an example diagram of extracting a second topic keyword from storytelling data according to an embodiment of the present invention.

Referring to FIG. 4, the processor 110 extracts a plurality of basic keywords by removing postpositions from all words included in the storytelling data, and includes the plurality of basic keywords by repeating more than a preset standard repetition number. The second topic keyword can be extracted.

For example, if some storytelling data contains the keyword 'Christmas' repeatedly more than 10 times among the basic keywords from which the postposition has been removed, the keyword 'Christmas' can be extracted as the second topic keyword.

At this time, the standard repetition number can be arbitrarily set by the user, and the second subject keyword can be set to be extracted as one or multiple keywords.

At this time, the processor 110 may calculate the issue weight for the second subject keyword.

At this time, as described above, the issue weight is intended to reflect the recent search volume and give a weight according to the issue when calculating the sales price of storytelling data containing topic keywords with recently increased search volume.

At this time, the issue weight can be calculated according to Equation 1 below.

[Equation 1]

At this time, IW (Issue Weight) means the issue weight, KSS (Keyword Search Score) means the search volume of the second topic keyword during a preset period on a preset portal site, and AKSS (Average Keyword Search Score) ) may mean the individual average search volume of all keywords searched during a preset period on the portal site.

At this time, the preset portal site may mean a searchable website such as Naver, Daum, or Google, and the preset period may be arbitrarily set by the user. For example, the period may be set to 1 week, 1 month, 3 months, etc.

At this time, information on the search keywords and search volume can utilize open source and open data provided by the portal site.

For example, through Naver Data Lab provided by Naver, the above-mentioned information on search keywords and search volume can be derived based on search statistical information.

At this time, the processor 110 may calculate the selling price of the storytelling data based on the preset basic price, the issue weight, the number of characters, the number of videos, and the video length.

At this time, the sales price can be calculated by Equation 2 below.

[Equation 2]

At this time, SP (Sales Price) refers to the sales price, BP (Base Price) refers to the basic price, and AVL (Average Video Length) refers to the content included in posts uploaded to the portal site during a preset period. Means the average video length of the video, VL (Video Length)_n means the video length of the nth video included in the storytelling data, and ANIV (Average Number of Included Video) means the portal site for a preset period. It may refer to the average number of videos included in posts uploaded to .

At this time, when extracting the number of videos, it is not desirable to extract the same number of cases where the video length is short and when the video length is long. This is because search traffic may vary depending on the length of the video. Therefore, it is desirable to set the value of each video differently depending on the length of the video, as shown in Equation 2.

At this time, the processor 110 may previously perform an operation of extracting the number of characters, the number of videos, and the video length of the video from the search results of searching for a specific keyword on the portal site.

The storytelling data is not sold only once, but can be sold multiple times to multiple buyers. In this case, when the same content is uploaded to the same publishing medium, there is a problem that portal sites, etc. process the relevant posts (posts based on storytelling data) overlappingly, resulting in poor exposure during searches.

Therefore, the more the storytelling data is sold, the more the value of the storytelling data inevitably decreases, and accordingly, adjustment of the selling price is inevitable.

However, if the price is lowered too much, it is unreasonable for the producer, so it is desirable to adjust the price only to the minimum price that the buyer can purchase.

Accordingly, the processor 110 determines sales based on the average first sale price, average final sale price when sales stop, and average number of sales of other storytelling data with the same subject keyword as the second subject keyword. The selling price can be adjusted according to the number of units sold by calculating the price adjustment coefficient and reflecting the price adjustment coefficient in the selling price.

In more detail, the price adjustment coefficient can be calculated by Equation 3 below.

[Equation 3]

At this time, PAF (Price Adjustment Factor) refers to the price adjustment coefficient, ALSP (Average Last Sales Price) refers to the average final sales price, and AFSP (Average First Sales Price) refers to the average first sales price. can do.

At this time, the selling price reflecting the price adjustment coefficient can be calculated by Equation 4 below.

[Equation 4]

At this time, SP' may mean the selling price in which the price adjustment coefficient is reflected.

At this time, the processor 110 provides a purchase purpose for purchasing storytelling data from the purchaser terminal 300, media information on a publishing medium that wishes to post the storytelling data, and a product corresponding to the subject of the storytelling data. 1 You can receive purchase information including topic keywords.

At this time, the processor 110 may match the storytelling data based on the purchase desire information and transmit the matched storytelling data and the sales price of the storytelling data to the buyer terminal 300. .

This is to recommend the most suitable storytelling data to the buyer and help the buyer make a choice.

At this time, the processor 110 generates search results for each of the plurality of publishing media based on a plurality of second topic keywords included in the plurality of received storytelling data, and generates search results for each of the plurality of publishing media based on the search results. The main search results searched within the search result area preset for each publication medium can be extracted, and the standard number of characters and the standard number of videos can be generated based on the number of characters and the number of videos included in the posts included in the main search results.

At this time, the search result area may refer to a search result page and, for example, may be set to 'within 3 pages of Naver search results'.

At this time, the standard number of characters and the standard number of videos may be the minimum number of characters and the minimum number of videos required for search exposure for each portal site. For example, the standard number of characters may be set to 1000 characters, and the standard number of videos may be set to 3.

This can be set based on posts found within the search result area.

At this time, the processor 110 extracts first storytelling data including the second topic keyword corresponding to the first topic keyword, and the number of characters included in the first storytelling data is equal to the reference number of characters. If it exceeds the number, matching points are added to the first storytelling data, and if the number of videos included in the first storytelling data exceeds the reference video number, matching points are added to the second storytelling data. It can be added.

At this time, matching points can be accumulated and added.

At this time, the processor 110 may sort the first storytelling data in the order of the highest matching point and transmit it to the buyer terminal 300.

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Figure 5 is an example diagram implemented as a web page according to an embodiment of the present invention.

Referring to FIG. 5, the storytelling data transaction mediation device 100 and method according to an embodiment of the present invention may be implemented in the form of a web page, and as shown in FIG. 5, information about each storytelling data and may be implemented to disclose prices.

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Figure 6 is a flowchart of a storytelling data transaction brokerage method according to an embodiment of the present invention.

Referring to Figure 6, the storytelling data transaction brokerage method according to an embodiment of the present invention can receive storytelling data to be sold from the producer terminal 200 (S101).

Additionally, the storytelling data transaction brokerage method according to an embodiment of the present invention can analyze the storytelling data and calculate the sales price of the storytelling data (S103).

In addition, the storytelling data transaction mediation method according to an embodiment of the present invention includes the purchase purpose of purchasing storytelling data from the purchaser terminal 300, media information about a publishing medium that wishes to post the storytelling data, and the story. Purchase desire information including the first topic keyword corresponding to the topic of the telling data can be received (S105).

In addition, the storytelling data transaction brokerage method according to an embodiment of the present invention matches the storytelling data based on the purchase desire information, and sends the matched storytelling data and the sales price of the storytelling data to the buyer terminal. It can be transmitted to (300) (S107).

Additionally, the storytelling data transaction mediation method according to an embodiment of the present invention may be configured in the same way as the storytelling data transaction mediation device 100 disclosed in FIGS. 1 to 5.

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The embodiments described above may be implemented with hardware components, software components, and/or a combination of hardware components and software components. For example, the devices, methods and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA), etc. It may be implemented using one or more general-purpose or special-purpose computers, such as an array, programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. A processing device may execute an operating system (OS) and one or more software applications that run on the operating system. Additionally, a processing device may access, store, manipulate, process, and generate data in response to the execution of software. For ease of understanding, a single processing device may be described as being used; however, those skilled in the art will understand that a processing device includes multiple processing elements and/or multiple types of processing elements. It can be seen that it may include. For example, a processing device may include a plurality of processors or one processor and one controller. Additionally, other processing configurations, such as parallel processors, are possible.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the medium may be specially designed and configured for the embodiment or may be known and available to those skilled in the art of computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -Includes optical media (magneto-optical media) and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include machine language code, such as that produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Software may include a computer program, code, instructions, or a combination of one or more of these, which may configure a processing unit to operate as desired, or may be processed independently or collectively. You can command the device. Software and/or data may be used on any type of machine, component, physical device, virtual equipment, computer storage medium or device to be interpreted by or to provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

Although the embodiments have been described with limited drawings as described above, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order than the described method, and/or components of the described system, structure, device, circuit, etc. are combined or combined in a different form than the described method, or other components are used. Alternatively, appropriate results may be achieved even if substituted or substituted by an equivalent.

Therefore, other implementations, other embodiments, and equivalents of the claims also fall within the scope of the following claims.

Claims (6)

In electronic devices,
memory; and
A processor connected to the memory; Including,
The processor:
Receive storytelling data you want to sell from the producer terminal,
Analyzing the storytelling data, calculating the sales price of the storytelling data,
Receive purchase desire information including the purchase purpose of purchasing storytelling data from the purchaser terminal, media information about the publication medium that wishes to post the storytelling data, and a first topic keyword corresponding to the topic of the storytelling data; ,
Matching the storytelling data based on the purchase desire information, and transmitting the matched storytelling data and the sales price of the storytelling data to the buyer terminal,
The processor:
Extract the number of characters, number of videos, and video length of the video included in the storytelling data,
A plurality of basic keywords are extracted by removing postpositions from all words included in the storytelling data, a second topic keyword that is repeatedly included more than a preset standard repetition number is extracted from the plurality of basic keywords, and the second topic is extracted. Calculate issue weights for keywords,
Calculate the selling price of the storytelling data based on the preset basic price, the issue weight, the number of characters, the number of videos, and the video length,
The issue weight is calculated according to Equation 1 below,
[Equation 1]

IW (Issue Weight) refers to the issue weight, KSS (Keyword Search Score) refers to the search volume of the second topic keyword during a preset period on a preset portal site, and AKSS (Average Keyword Search Score) refers to the above It refers to the individual average search volume of all keywords searched during a preset period on the portal site,
The sales price is calculated according to Equation 2 below,
[Equation 2]

SP (Sales Price) refers to the sales price, BP (Base Price) refers to the basic price, and AVL (Average Video Length) is the average of the videos included in posts uploaded to the portal site during a preset period. Means the video length, VL (Video Length)_n means the video length of the nth video included in the storytelling data, and ANIV (Average Number of Included Video) is the video length of the nth video included in the storytelling data, and ANIV (Average Number of Included Video) is the video length of the nth video included in the storytelling data. It refers to the average number of videos included in a post,
The processor:
Calculate a price adjustment coefficient according to sales based on the average first sale price, average final sale price when sales stop, and average sales number of other storytelling data with the same subject keyword as the second subject keyword,
Reflecting the price adjustment coefficient in the selling price to adjust the selling price according to the number of units sold,
The price adjustment coefficient is calculated according to the equation below,
[Equation 3]

PAF (Price Adjustment Factor) refers to the price adjustment coefficient, ALSP (Average Last Sales Price) refers to the average final sales price, AFSP (Average First Sales Price) refers to the average first sales price,
The selling price reflecting the price adjustment coefficient is calculated by Equation 4 below,
[Equation 4]

SP' refers to the selling price reflecting the price adjustment coefficient.
delete delete delete delete In claim 1,
The processor:
Based on a plurality of second topic keywords included in the plurality of received storytelling data, search results are generated for each of the plurality of publishing media,
Based on the above search results, the main search results searched within the preset search result area for each of the plurality of publishing media are extracted, and the standard number of characters and the number of videos are based on the number of characters and the number of videos included in the posts included in the main search results. Create a standard number of videos,
Extracting first storytelling data including the second topic keyword corresponding to the first topic keyword,
If the number of characters included in the first storytelling data exceeds the standard number of characters, a matching point is added to the first storytelling data,
An electronic device characterized in that the first storytelling data is sorted in the order of highest matching point and transmitted to the purchaser terminal.