KR20200142258A - Method, apparatus, and system visualizing correlation level between setup fields - Google Patents

Abstract

One aspect of the present invention discloses a method for visualizing the association between set items. The method comprises the steps of: collecting set value information of a plurality of shopping malls for a plurality of setting items associated with a shopping mall, wherein each of the plurality of set items has at least two set values; analyzing the collected set value information to calculate the degree of item association between at least two set items among the plurality of set items; and visualizing the association between the set items by generating at least a part of the plurality of set items and the degree of item association between the at least two set items as an object and placing the object on a visualization space.

Description

Method, device, and system to visualize the association between setting items {METHOD, APPARATUS, AND SYSTEM VISUALIZING CORRELATION LEVEL BETWEEN SETUP FIELDS}

The present invention relates to a method of visualizing the association between selection menus, and to a method of visualizing the association between selection menus in order to support a user to select a menu more efficiently.

There are various settings in the software, and excessively many settings make the user of the software feel tired before using the program. Some of these various settings (e.g., user ID, date of birth, date of birth, etc.) may have unique values for each user, and in other cases, most of the values may be the same (e.g., country, language , E-mail reception, etc.). Also, when there is no special setting, most tend to accept the default value (default).

In this situation, some of the selection of various settings when using the software (e.g., receiving discount benefits) may require setting without necessity, even though the selection is too clear, and such unnecessary setting items reduce the number of user inputs. Increases the convenience of the software. In particular, since software developers rarely review the generated setting items again after creating the setting items, it is difficult to effectively reduce the generated setting items. In particular, developers of companies that support software platforms that operate and manage shopping malls need to create setting items and setting values in consideration of the understanding of users who are new to shopping malls, and various factors such as goods handled by shopping malls and sales of shopping malls. Accordingly, it can be said that it is almost impossible to properly generate the setting items and setting values at the time of initial development in consideration of these parts, and making them efficient is too difficult in reality.

In addition, the default value that most users use as a setting value should be the value that the user uses the most, but the default value once set does not change even though the environment has changed over a long period of time, thus deteriorating the software setting efficiency.

In addition, there is a problem in that it is difficult to collectively change the settings because the related setting items are poorly processed and closely related setting items are arranged as setting items in different tables.

An object according to an aspect of the present invention for solving the above-described problem is to provide a method, apparatus, and system for visualizing the association between setting items so that an operator who designs the setting items intuitively understands the item association diagram between the setting items. .

A method of visualizing the correlation between setting items according to an aspect of the present invention for achieving the above object comprises the steps of collecting setting value information of a plurality of shopping malls for a plurality of setting items associated with the shopping mall (the plurality of setting items Each of the items has at least two setting values), analyzing the collected setting value information to calculate an item association degree between at least two setting items among the plurality of setting items, and the plurality of setting items At least a part of and an item association diagram between the at least two setting items may be generated as an object and placed on the visualization space, thereby visualizing the association between the setting items.

Each of the plurality of setting items may be objected to one node, and an item association diagram between the at least two setting items may be objected to a connection line connecting the two nodes.

The node may be displayed in different visual representations according to the setting item table to which the setting item belongs.

The visualizing may include visualizing by placing only nodes belonging to a specific setting item table and their connection lines on the visualization space according to a user input.

The connection lines may be displayed in different visual representations according to the size of the item association diagram.

The connection line may have a different thickness depending on the size of the item association diagram.

The connection line may be displayed in the same color as at least one of two nodes associated with the connection line.

The setting items having the item association degree smaller than the threshold value and the item association diagram between the corresponding setting items may not be displayed on the visualization space.

Around the node, an identifier of a setting item related to the node or a name of a setting item may be displayed as an object.

The node and the connection line may be arranged in three dimensions.

In response to selecting a specific node by user input, the specific node and at least one connection line connected to the specific node may be visualized to be identified.

In response to selecting and moving a specific node according to a user input, the specific node may be moved and disposed.

In response to selecting and moving a specific node according to a user input, the specific node can be visualized to move dynamically.

The size of the node may be proportional to the entropy value of the node.

In response to selecting a specific node according to a user input, detailed contents associated with the selected specific node may be displayed.

The item association diagram is generated by additionally recognizing information related to selection of a second setting item belonging to the plurality of setting items compared to information related to selection of a first setting item belonging to the plurality of setting items. It can be calculated by an information gain value representing the gain.

The item association diagram is calculated by calculating at least one of a first entropy value of a first setting item belonging to the plurality of setting items and a second entropy value of a second setting item belonging to the plurality of setting items, 1 It is generated by calculating a third entropy value of a pair of setting items in which the setting item and the second setting item are paired, and calculating a difference value of at least one of the third entropy value and the first entropy and the second entropy It can be derived based on the entropy gain value.

In order to achieve the above object, an apparatus for visualizing the correlation between setting items according to an aspect of the present invention includes setting value information of a plurality of shopping malls with respect to a plurality of setting items associated with the shopping mall and related to an operation of a processor. Item association between at least two of the plurality of setting items by analyzing the memory for storing a command (each of the plurality of setting items has at least two setting values) and setting value information of the plurality of shopping malls Calculate a degree, and visualize the association between setting items by generating at least some of the plurality of setting items and an item association diagram between the at least two setting items as an object and placing them in the visualization space. It may include a processor.

In order to achieve the above object, a system for visualizing the association between setting items according to an aspect of the present invention includes: a first method for setting a setting value of at least some of a plurality of setting items associated with a shopping mall in relation to a first shopping mall. A user terminal requesting a user interface to a server (each of the plurality of setting items has at least two setting values) and the plurality of setting items by analyzing setting value information of a plurality of shopping malls for the plurality of setting items Calculate an item association diagram between at least two of the setting items, create an item association diagram between at least some of the plurality of setting items and the at least two setting items as an object and place it on the visualization space By means of sikim, it may include a server that visualizes the association between the setting items.

A method for visualizing the correlation between setting items according to another aspect of the present invention for achieving the above object includes the steps of collecting set value information of a plurality of shopping malls for a plurality of setting items associated with the shopping mall (the plurality of setting items Each of the items has at least two setting values, and the plurality of setting items is composed of a plurality of setting item tables in which setting items of the same category are grouped), a setting belonging to the first setting item table among the plurality of setting item tables Analyzing the items to calculate and visualize an item correlation between the setting items in the first setting item table, and analyzing the setting items belonging to the second setting item table among the plurality of setting item tables, and the second setting item table Calculating and visualizing an item correlation between the set items in the first set item table and a second set item having a relatively high item correlation degree in the second set item table. Visualization of the visualized setting items belonging to the first setting item table and the second setting item table by visualizing the correlation of the items of the setting items by calculating the correlation between the first setting items and the second setting items Visualizing by linking the set items may be included.

In order to achieve the above object, an apparatus for visualizing correlation between setting items according to another aspect of the present invention includes setting value information of a plurality of shopping malls with respect to a plurality of setting items associated with the shopping mall, and related to the operation of a processor. A memory for storing a command (each of the plurality of setting items has at least two setting values, and the plurality of setting items is composed of a plurality of setting item tables grouped by setting items of the same category) and the plurality of setting items By analyzing the setting items belonging to the first setting item table among the tables, calculating and visualizing the correlation of items between the setting items in the first setting item table, and setting items belonging to the second setting item table among the plurality of setting item tables Are analyzed to calculate and visualize an item correlation between the setting items in the second setting item table, and an item in the first setting item and the second setting item table having a relatively high item correlation in the first setting item table By calculating the item relevance of the second setting item with a relatively high degree of association, and visualizing the first setting item and the second setting item, visualized setting items belonging to the first setting item table and the It may include a processor for visualizing by linking the visualized setting items belonging to the second setting item table.

In order to achieve the above object, a system for visualizing the association between setting items according to another aspect of the present invention includes: a first method for setting a setting value of at least some of a plurality of setting items associated with a shopping mall in relation to a first shopping mall. A user terminal requesting a user interface from a server (each of the plurality of setting items has at least two setting values, and the plurality of setting items is composed of a plurality of setting item tables grouping setting items of the same category) and the By analyzing the setting items belonging to the first setting item table among the plurality of setting item tables, calculating and visualizing the degree of correlation of items between the setting items in the first setting item table, and a second setting item table among the plurality of setting item tables The first setting item and the second setting with a relatively high degree of correlation of items in the first setting item table are visualized by analyzing the setting items belonging to the second setting item table. Visualized setting belonging to the first setting item table by visualizing the correlation of the second setting item with the first setting item by calculating the item relevance of the second setting item with a relatively high item correlation in the item table It may include a server for visualizing by linking items and visualized setting items belonging to the second setting item table.

According to the method, apparatus, and system for adjusting the user interface of the present invention, the process of setting a number of setting items when using the software of the user is efficiently made to increase the efficiency of using the software and further, the shopping mall operation efficiency of the shopping mall operator. It works.

1 is a conceptual diagram showing a system to which a method for adjusting a user interface according to an embodiment of the present invention is applied;
2 is a flow chart schematically showing a method of adjusting a user interface using a concentration according to an embodiment of the present invention;
3 is a view showing a summary graph of the concentration of a plurality of setting items so that the concentration of a plurality of setting items can be seen at a glance;
4 is a diagram showing a setting item summary table summarizing the concentration of setting items included in a specific table in a table format;
5 is a diagram showing statistical values for each setting item for detailed viewing of setting values of each setting item included in the setting item summary table of FIG. 4;
6 is a table showing sample values set by 25 shopping malls for 6 setting items for calculating concentration;
FIG. 7 is a table showing the result of calculating the concentration index of setting values for each of six setting items according to the embodiment of FIG. 6;
8 is a summary table summarizing the results of FIG. 7;
9 is a diagram illustrating various embodiments of adjusting a user interface using a concentration calculated according to an embodiment of the present invention;
10 is a diagram illustrating a user interface for activating advanced settings according to a user input by dividing basic settings and advanced settings;
11 is a conceptual diagram illustrating a method of periodically acquiring information related to setting in the user interface of FIG. 10 to change an upper setting value;
12 is a flowchart schematically showing a method of adjusting a user interface based on an item association diagram between setting items according to an embodiment of the present invention;
13 is a table showing two embodiments for calculating an item association degree;
14 is a table for explaining a method of calculating an entropy gain value in the two embodiments of FIG. 13;
15 is a flowchart showing a method of calculating an entropy gain value between setting item tables;
16 is a diagram illustrating an embodiment of adjusting a user interface using an item correlation diagram calculated according to an embodiment of the present invention;
17 is a conceptual diagram for explaining a method of constructing a style using an item association diagram between setting items;
18 is a flowchart schematically illustrating a method of adjusting a user interface using a setting value according to a shopping mall characteristic according to an embodiment of the present invention;
FIG. 19 is a diagram showing a result of analyzing specific setting items based on shopping mall characteristics according to sales according to the method of FIG. 18;
20 is a graph for explaining a method of grouping shopping mall characteristics based on a sales scale and a share of a set value having a maximum selection share;
21 is a flowchart illustrating a method of determining suitability of a setting item of a first shopping mall according to an embodiment of the present invention;
22 is a flowchart showing a method of loading a setting value of a suitable style according to response information of a key question;
23 is a flowchart schematically showing a method of visualizing an item association diagram according to an embodiment of the present invention;
FIG. 24 is a diagram showing a visualization of an item association diagram between setting items in one table according to the method of FIG. 23;
FIG. 25 is a diagram showing a visualization of an item association diagram of setting items of a plurality of tables according to the method of FIG. 23;
26 is a block diagram schematically illustrating an apparatus for adjusting a user interface according to an embodiment of the present invention.

In the present invention, various modifications may be made and various embodiments may be provided, and specific embodiments will be illustrated in the drawings and described in detail.

However, this is not intended to limit the present invention to a specific embodiment, it is to be understood to include all changes, equivalents, and substitutes included in the spirit and scope of the present invention.

Terms such as first and second may be used to describe various elements, but the elements should not be limited by the terms. These terms are used only for the purpose of distinguishing one component from another component. For example, without departing from the scope of the present invention, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element. The term and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

When a component is referred to as being "connected" or "connected" to another component, it is understood that it may be directly connected or connected to the other component, but other components may exist in the middle. Should be. On the other hand, when a component is referred to as being "directly connected" or "directly connected" to another component, it should be understood that there is no other component in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present application, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof, does not preclude in advance.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and should not be interpreted as an ideal or excessively formal meaning unless explicitly defined in this application. Does not.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. In describing the present invention, in order to facilitate an overall understanding, the same reference numerals are used for the same elements in the drawings, and duplicate descriptions for the same elements are omitted.

User interface adjustment system

1 is a conceptual diagram illustrating a system to which a user interface adjustment method according to an embodiment of the present invention is applied. As shown in Fig. 1, the user interface adjustment system according to an embodiment of the present invention includes user terminals 110-1 to 110-N, a network 120, and a user interface adjustment device of a shopping mall operator operating a shopping mall. 130) may be included.

Referring to FIG. 1, shopping malls 110-1 to 110 -N may refer to online shopping malls that sell products and/or services through the Internet. Shopping malls 110-1 to 110-N operate based on a specific web site on the Internet. According to an embodiment of the present invention, the plurality of shopping malls 110-1 to 110 -N interwork with the user interface adjustment device 130 through the network 120. According to an embodiment of the present invention, the user interface adjustment device 130 may operate as a server that manages operation information and product information of the online shopping malls 110-1 to 110-N, and the online shopping malls 110 By providing a platform related to shopping mall operation to -1 to 110-N), it is possible to support the operator to easily open and operate shopping malls 110-1 to 110-N. In addition, operation information, product information, sales information, customer information, etc. of the shopping mall generated in this process may be stored in an internal storage of the user interface adjustment device 130 or an external large-capacity database.

According to an embodiment of the present invention, the user interface adjustment device 130 may be implemented as a computing device. The computer device referred to herein may be implemented as a server-class computer terminal. The computer device may include an input device of a typical computer terminal, a display device, a networking device, a hard disk, a memory for storing a program, and a processor for executing a program stored in the memory. However, it is not necessarily implemented as a server-class computer terminal.

User terminals (not shown) associated with shopping malls 110-1 to 110-N include terminals of operators of the shopping malls 110-1 to 110-N. The terminal may also be implemented as a computing device such as a smartphone or a PC. The user terminal accesses the specific website of the shopping malls 110-1 to 110-N and provides signals related to the operation of the shopping malls 110-1 to 110-N to the server 130 through the network 120 By managing the operation of the shopping malls 110-1 to 110-N.

The user terminal may utilize a user interface adjustment algorithm and/or a visualization algorithm of the user interface adjustment apparatus 130 for efficient operation of their shopping malls 110-1 to 110 -N. The user terminal may provide a signal for requesting adjustment of the user interface to the user interface adjustment device 130. This can be done through the website. When a user setting is called from a web site related to a shopping mall, the user interface must be displayed, so it can be interpreted as a request signal of the user interface. That is, when the user setting is clicked, a user interface automatically adjusted using statistics of setting values collected at a specific collection period may be provided to the user terminal. The user interface request signal generated by the user terminal is transmitted to the user interface adjustment device 130 through the network 120.

The user interface adjustment device 130 receives the request signal and adjusts the user interface. In this case, the user interface includes a user interface for selecting a menu for selecting setting values of various setting items of the software. The software includes software related to operation and management of a shopping mall, and the user interface includes a user interface for selecting setting values of setting items related to operation and management of the shopping mall. Here, the setting item means an item for selecting a setting value, and the setting value includes values included in the setting item. There may be more than one setting value in the setting item, and it may be necessary to set at least one setting item in the software.

The user interface according to an embodiment of the present invention should not be applied only to software related to shopping malls, but various software capable of inputting setting values of setting items such as content authoring software, video rendering software, and Internet setting software. It is universally applicable to

The device 130 may obtain information on a setting value of a setting item from a plurality of shopping malls, analyze the obtained setting value information, and calculate a concentration, which means the degree to which the selection is concentrated on a specific setting value in a specific setting item. have. In addition, by calculating the item correlation, which means the correlation between the first setting item and the second setting item included in the user setting, other setting items that are directly or indirectly affected by the setting value of one setting item. And, in some cases, the setting value of the related setting item. In addition, related setting items can be grouped and defined as a single style. Then, a plurality of styles may be defined by variously combining the setting values of the grouped setting items.

The device 130 may classify a plurality of shopping malls according to characteristics of the shopping mall and infer set value information corresponding to the specific shopping mall characteristics by analyzing the classified set value information. Then, by using the analysis result to obtain setting value information corresponding to the characteristics of the shopping mall of a specific user, the setting corresponding to the characteristics of the shopping mall is efficiently set.

Additionally, the device 130 may generate a setting item and an item association diagram as objects so that the item association diagram can be intuitively understood by a shopping mall operator or a server administrator managing the shopping mall platform, and may be placed in the visualization space. At this time, the setting item may be visualized as a node, and the item association diagram may be visualized as a connection line between two nodes.

According to another embodiment of the present invention, adjustment of a user interface and visualization of an indicator related to a setting item may be performed in a user terminal. The user terminal can download and install an application (APP) that executes an algorithm related to the adjustment of the user interface and the visualization of the indicator related to the set value from the server device, and executes the installed application, The user interface related to the settings can be adjusted. The adjusted user interface may be displayed through a display means of the user terminal.

Alternatively, not a server for managing a user terminal and a shopping mall, but a third device specialized only for user interface adjustment may adjust an interface for selecting a menu related to the shopping mall. For example, regardless of the shopping mall, if only setting value information for setting items from multiple users is secured for general software settings, various setting items to be set in the future by applying the user interface adjustment method according to an embodiment of the present invention. You can make an efficient adjustment to

The network 120 is a network that connects the shopping malls 110-1 to 110-N and the product sales amount prediction device 130, and may include a wired network and/or a wireless network (Internet).

Hereinafter, in the present specification, the terms "user interface adjustment device", "visualization device", "device", and/or "terminal" are used for managing a user interface, a user interface device 130, and a shopping mall. It may mean at least one of a server device that provides a platform and a third device.

User interface adjustment method using concentration

2 is a flowchart schematically showing a method of adjusting a user interface using a concentration level according to an embodiment of the present invention.

Referring to FIG. 2, the device obtains set value information on set items from shopping malls (S210). The acquired setting value information includes information that shopping malls have set a specific setting value for the characteristic setting item, and at this time, not only the setting item and information of the selected setting value, but also information related to the property of the shopping mall for which the setting is set are collected. . For example, "XX Shopping Mall has set the set value of '3 days' among the set values of '3 days', '5 days', and '7 days' for the setting item for'the item retention period in the shopping cart'. "" is provided to the device, and at this time, information indicating the characteristics of the shopping mall such as sales information of the XX shopping mall, business type information related to handling items, annual information, representative information, and business registration number information is also collected.

The device analyzes the collected set value information and calculates the concentration of the set value for each set item (S220). The degree of concentration is an index indicating how biased the selection of a set value is. The device may adjust the user interface through processing such as changing a heavily biased setting value to a default value or deleting an unnecessary option using the concentration level.

According to an embodiment of the present invention, the device may calculate a plurality of indicators in relation to concentration. This includes a first concentration index indicating the number of set values that have been selected even from one of the shopping malls participating in the information collection. This may be referred to as "cardinality (or "number of values"). For example, when 100 shopping malls set a setting value for a setting item related to'the item retention period in the shopping cart', (1) 74 shopping malls among a number of setting values set the setting value '3 days', and (2) 26 When two shopping malls select the set value '5 days', the cardinality value becomes "2" indicating the number of set values of '3 days' and '5 days'.

Additionally, the device calculates the Herfindahl-Hirschman Index (HHI) as the second concentration index. This is one of the indicators used to determine the concentration of the market, and is a value obtained by dividing the sum of squares of the top N set values with high selection share by the square of the sum. Here, the selection share indicates the number of shopping malls that have selected a specific set value compared to the number of shopping malls participating in the collection of all shopping malls among the collected set value information, and is a value representing the selection ratio of the specific set value or the selection frequency. For example, if the selected share of "set value 1" is 0.6 and the selected share of "set value 2" is 0.4, it is calculated as HHI = (0.6 ² +0.4 ² )/(0.6+0.4) ² and it becomes 0.52. . The higher the HHI value, the higher the concentration for a specific set value, and the lower the value, the lower the concentration, but the competition for selection share between the set values is severe. According to an exemplary embodiment of the present invention, N is set to 3, and the degree of concentration may be calculated based on the selection share of the upper three set values. However, this is not necessarily limited to 3, and it is also possible to set the top 1, 2, 4, 5, etc. In some cases, the value of the first concentration index, that is, the cardinality value may be used as the value of N.

Moreover, the device calculates TOP 1/TOP 2/TOP 3/.../TOP M indicators representing the top M selection occupancy rates as the third concentration index. The TOP 1 indicator represents the selection share of the set value with the highest selection share, TOP 2 represents the sum of the selection share of the set values with the top two selection share, and TOP 3 is the set value with the top three selection share. The selected share is summed. For example, out of 15 set values, when "set value 1" is assumed to have a selection share of 0.24, "set value 4" is 0.5, and "set value 6" has a selection share of 0.15, the TOP 1 index has the highest selection share, " The selection share of the set value 4" becomes 0.5, and the TOP 2 becomes the top two selection share, that is, 0.5+0.24 = 0.74, which is the sum of the selected share of "set value 4" and "set value 1". In the same way, TOP 3 becomes 0.5+0.24+0.15 = 0.89. According to an embodiment of the present invention, it may be desirable to determine the value of M as 3. However, 1, 2, 4, 5, 10, or cardinality values may be used.

According to another embodiment of the present invention, when calculating the third concentration, the TOP 2 and TOP 3 indicators may indicate the selection share of a set value having the second and third highest selection share. For example, assuming that "set value 1" has a selection share of 0.24, "set value 4" is 0.5, and "set value 6" has a selection share of 0.15, the TOP 1 index is the selection of "set value 4" with the highest selection share. The occupancy rate becomes 0.5, and the TOP 2 becomes 0.24, which is the selected occupancy rate of "set value 1". In the same way, TOP 3 can be 0.15.

After calculating at least some of the above three concentration indicators, the device adjusts the user interface for menu selection using the calculated concentration (S230). The adjustment of the user interface may include various adjustment operations. For example, it may include actions such as changing a default value, adjusting a displayed setting value (including deleting a specific setting value), and distinguishing between a basic setting and an advanced setting. For example, the device may use the cardinality value to delete a setting value whose selection share is 0 from the corresponding setting item. By application, a set value whose selection share is less than or equal to the first threshold may be deleted or placed at a position of a set value that is relatively invisible when selected (lower position). In addition, when there is a set value having a selection share of 1, other set items other than the set value may be deleted, and the set value may be changed to a default value. By application, a set value having a selection share equal to or greater than the second threshold may be set to be a default value, and accordingly, the position of the set value may be placed in a relatively well-visible position (top position) when selected. Also, other setting values can be suppressed.

In some cases, using the HHI value, when the HHI value is less than or equal to the third threshold, it is determined that the concentration is low, and the user interface may be adjusted so that all set values corresponding to the cardinality value are displayed. For example, when the third threshold value is 0.6, the HHI value is 0.5, and the cardinality value is 4, all four set values that have received even one selection may be displayed. In this case, it is not necessary to display all four set values, but only the upper X set values can be displayed.

In addition, when the HHI value is greater than the fourth threshold, the user interface may be adjusted so that only the upper Y set values are displayed. Alternatively, the user interface can be adjusted so that the upper Y set values are placed in a relatively well-visible position (top position).

According to an embodiment of the present invention, the device may calculate the above three concentration indicators at a time or may calculate them sequentially. In particular, the cardinality value is calculated first, and when the cardinality value is greater than or equal to a predetermined value, the HHI value may be calculated. Because, when the cardinality value is a very small value such as 1 or 2, the concentration is likely to be high, and thus all set values that have influenced the cardinality value can be displayed without calculating an additional concentration index value.

In addition, only when the cardinality value is greater than or equal to a predetermined value, the third concentration index of TOP 1, TOP 2 and TOP 3 can be calculated.

In some cases, when the first concentration index is more than a certain value, the third concentration index is calculated, and the third concentration index is compared with a threshold value, and the determination is made by determining whether to calculate the second concentration index based on the comparison result of the threshold value. According to the second concentration index can be calculated. Alternatively, when the first concentration index is greater than or equal to a certain value, the second concentration index is calculated, the second concentration index is compared with the threshold value, and it is determined whether to calculate the third concentration index based on the threshold value comparison result. 3 Concentration index can be calculated.

Then, the user interface adjusted in step S230 is displayed through the display means (S240). In this case, the user interface may be displayed through a display unit connected to the device or through a display unit connected to another terminal communicating with the device.

FIG. 3 is a diagram showing a summary graph of the concentration of a plurality of setting items so that the concentration of a plurality of setting items can be seen at a glance.

Referring to FIG. 3, the device may generate a concentration summary graph to intuitively understand the concentration of a setting item. The concentration summary graph can be generated for each setting item table that collects setting items of the same category. The setting item table is a set of setting items to be set at once, and may be set when the setting items are created. For example, in relation to the Ace counter (subscription and service), 1) whether to use the ace counter, 2) whether to call the ace counter log save script, and 3) the ace counter table ("ace_counter") for settings related to the ace counter account code. It belongs to one setting item table called (can be).

For each setting item belonging to a specific setting item table, the selection share of the setting value with the highest selection share is in the first color (e.g., blue), and the selection share of the setting value of the second selection share is the second color (e.g., green). , The selected share of the set value of the third selected share may be displayed in a third color (eg, red). Other values may be displayed in a fourth color (eg, white).

The device may display the HHI value for each setting item as a dot 310 on the concentration summary graph. By generating such a concentration summary graph for each setting item table, it is possible to visualize the index related to the concentration degree of the setting items of the setting item at a glance.

4 is a diagram showing a setting item summary table in which the concentration of setting items included in a specific table is summarized in a table format.

Referring to FIG. 4, the device is configured in the form of a table as well as the graph of FIG. 3 to intuitively understand the detailed contents of the setting items, whether the required items, the number of records, and the first to third concentration values for each setting item. You can create summary tables. In the above table, numbers such as 20, 21, ..., 29 indicate the identification number index of the setting item, Field is the identifier of the setting item, Desc is the content of the setting item, and Req indicates whether the setting item is a mandatory setting item. , Def indicates the set value with the number of selection share as the default value of the setting item. If it is 1, it means it is the most frequent setting value, and if it is -1 it means it is not. Card represents the first concentration index value, Rec# represents the number of collected data records, HHI represents the second concentration index, and Top1, Top 2, and Top 3 represent the third concentration index.

The device may generate and display the setting item summary table for each setting item table. The user can roughly grasp the concentration of a specific setting item by using the setting item summary table.

At this time, if you select a specific setting item from the setting item summary table, detailed analysis of each setting item is displayed. This will be described in detail with reference to FIG. 5.

FIG. 5 is a diagram showing statistical values for each setting item for detailed viewing of setting values of each setting item included in the setting item summary table of FIG. 4.

Referring to FIG. 5, when a setting item displayed in a setting item summary table is selected by a user input or when a display of a detail page is requested, the apparatus generates and displays a detail page of the setting item. On the detail page, all the set values with the selection share of the set item are displayed, the code of the set value and its contents, whether the set value is the default value, the number of frequency of selection of the set value, and the selection of the set value The share is displayed.

The first setting item in FIG. 5 is a setting item for “whether to use the applied price display”. For this setting item, all shopping malls have selected the “F” setting value, and it can be seen that this value is set as the default value. have. The second setting item is "Non-member membership level coupon exposure setting". 98.12% of 105353 records selected the "F" setting as the default value, and only 1.88% of 2022 records were not the default value, but "T "You can confirm that you have selected the setting value.

In this way, the device supports a user who performs user setting or a server operator who manages user settings to view the details of setting values of the setting items and easily grasp the setting status of the entire shopping mall.

6 is a table showing sample values set by 25 shopping malls for 6 setting items to calculate concentration.

Referring to FIG. 6, 25 shopping malls perform user setting by selecting the language of the shopping mall page, whether the mail function is used, whether the SMS function is used, whether to send Kakao Talk, the courier code and the setting values of the setting items for major items. do.

FIG. 7 is a table showing the result of calculating the concentration index of setting values for each of six setting items according to the embodiment of FIG. 6.

Referring to FIG. 7, in relation to "whether mail is received", the number of Y values selected is 22, occupying a ratio of 0.88, and thus the cardinality value is 2, and in this case, the HHI index has a value of 0.7888. TOP 1 may have a value of 0.88, and TOP 2 may have a value of 1.

Regarding "SMS reception", the Y value is 10 cases with a selection share of 0.4, and the N value is 15 cases with a selection share of 0.6, so the cardinality value also has a value of 2, HHI index is 0.52, TOP The 1 and TOP 2 indicators have values of 0.6 and 1, respectively.

In this way, the values of the first to third concentration indicators can be calculated for the six setting items. Then, the calculated concentration index values are summarized in FIG. 8.

8 is a summary table summarizing the results of FIG. 7.

Referring to FIG. 8, the device may organize the calculation results of the first to third concentration index values for the six setting items of FIG. 7 into a table. In the organized table, the number of records, cardinality values, HHI index values, and Top 1 to Top 3 index values are displayed.

The device adjusts the user interface based on the calculated first to third concentration indicators. The apparatus may determine cases in which the third concentration index and/or the second concentration index (HHI index) is greater than or equal to a predetermined value (eg, 0.8) as a setting item concentrated on a specific set value. The set items determined in this way can be selected as targets to be considered for removing the set items. Alternatively, the user interface can be adjusted so that only specific settings are displayed.

In addition, when a 100% selection share is achieved in the TOP 1 to TOP 3 index values, the user interface can be adjusted so that only the top 1 to 3 set values at which 100% selection share is achieved are displayed.

However, for a setting item in which the value of the second concentration index and/or the value of the third concentration index is less than or equal to a predetermined value, the user interface may be adjusted so that only the top N values are displayed. In this case, the value of N may be set as “the value of the 1/HHI indicator”. For example, in the case of a setting item having an HHI index value of 0.2, the user interface can be adjusted so that only the setting values having the top five selection shares are displayed as the setting values of the setting item by calculating 1/0.2.

9 is a diagram illustrating various embodiments of adjusting a user interface using a concentration calculated according to an embodiment of the present invention.

Referring to (a) of FIG. 9, in a specific setting item, the device may delete a setting value having a selection share value of 0 or less than a predetermined value so that it is not displayed in the corresponding setting item.

In addition, referring to (b) of FIG. 9, the device changes a set value in which the value of the second concentration index is equal to or greater than a certain value and the selected share of the third concentration index is equal to or greater than a certain value to a default value. For example, a set value having an HHI index of 0.8 or more and a selection share of Top 1 of 0.8 or more is subject to a default value change.

Referring to FIG. 9C, the device may adjust the display order of the set values based on the values of the first to third concentration indicators. For example, when the first concentration index is less than or equal to a predetermined value, all set values whose selection share is not 0 may be displayed in the order of the highest selection share. In addition, when the first concentration index is greater than or equal to the first threshold value and the second concentration and/or the third concentration value is greater than or equal to the threshold value, a set value having the top N selection shares is displayed at the top, and the top N set values The user interface can be adjusted to display the remaining setting values in the order they were assigned by default. In this case, N may be a value calculated based on the third concentration index. For example, the value of N may be determined by finding a value in which N is equal to or less than a certain value such as 3 and the sum of the selection occupancy rates of up to the top N set values is equal to or greater than a certain value (eg, 0.9). Alternatively, as described above, it may be an inversely proportional value of the HHI index.

Referring to FIG. 9D, the device may adjust the user interface in a form of changing the type of the selected setting value. The device can adjust the user interface to ignore the arrangement of default settings and select the settings in the form of a radio box. The radio box may be configured to receive a selection of one of "Top 1", "Top 2", "Top 3", and "Other". "Top 1" is to set the setting value with the highest selection occupancy rate or to display only the setting value, "Top 2" is to set the setting value with the second highest selection occupancy rate, or to set the selection occupancy rate to the first and second It could be that only high settings are displayed. The device causes settings not included in Top 1 to Top 3 to be displayed only when "Other" is selected.

10 is a diagram illustrating a user interface for activating an advanced setting according to a user input by classifying a basic setting and an advanced setting.

Referring to FIG. 10, the device may determine a setting item to be set as a basic setting and a setting item to be set as an advanced setting (which may be referred to as an additional setting) by using the concentration index.

The device, based on the first concentration index, when the first concentration index is less than a certain value and the second concentration index value and/or the third concentration index value is more than a certain value, the selection is biased to some set values. It can be seen that it is done. For example, for the 5 setting items of items A to E, C, D, and E setting items are concentrated in some setting values as above, and the A and B setting items have low concentration and relatively various setting values are selected. In this case, setting items A and B are displayed to be set by the user as default settings, and setting items C to E are divided into additional settings, and the user interface can be adjusted to be displayed only when the user activates through a click or the like. That is, whether to display the setting item may be determined using at least one of the first to third concentrations.

FIG. 11 is a conceptual diagram illustrating a method of changing an upper setting value by periodically acquiring information related to setting in the user interface of FIG. 10.

Referring to FIG. 11, the device may periodically change a user interface by collecting and analyzing set value information according to a preset period. The set value collection period may be at least one of 5 days, 1 week, 10 days, 15 days, 20 days, 30 days, monthly, and quarterly. At least one of the concentration indicators is calculated for each period in which the set value information is collected to derive an upper set value, and the user interface is adjusted so that the derived higher set value becomes a default value or is placed at the top of the menu.

User interface adjustment method using item relevance

12 is a flowchart schematically illustrating a method of adjusting a user interface based on an item association diagram between setting items according to an embodiment of the present invention.

Referring to FIG. 12, the device obtains set value information on set items from shopping malls (S1210). Then, the set value information is analyzed to calculate an item correlation between the set items (S1220). The item association diagram refers to the correlation between the settings that are related and set when setting the setting value of the setting item. For example, a user who sets the "font" of text is likely to also set the "font size". Therefore, the degree of association of items refers to the degree of association between the setting item and the setting item of “font size” rather than the degree of association between the setting value of “font” and the setting value of “font size”. However, in some cases, the degree of association between the setting values of the setting items may be calculated more than the degree of association between the setting items and used for adjustment of the user interface.

The device compares the calculated item correlation with a threshold value (S1230). In this case, the threshold value may be a preset value, or after the item relevance is calculated by creating a pair for at least a part of all the setting items, the average of the calculated item relevance levels may be the threshold value. Alternatively, a threshold value may be determined such that a pair of set items related to an item relevance degree corresponding to an upper A% among the calculated item relevance degrees is derived.

A user interface for selecting a menu of the shopping mall may be adjusted based on the comparison result in step S1230 (S1240). For example, a pair of setting items whose item relevance is higher than a threshold value may be displayed together or sequentially displayed when a setting is input or when a setting is changed. In other words, the user interface is adjusted so that the user can collectively and efficiently change the setting items to be changed at once when the setting is changed.

Then, the adjusted user interface is displayed using a display means of the user terminal (S1250).

13 is a table showing two embodiments for calculating item association.

Referring to FIG. 13, the device may acquire information of a setting value related to a “font” setting item and a “font size” setting item.

According to the embodiment A on the left side of FIG. 13, four shopping malls A to D out of eight shopping malls use Gulim as fonts, and four shopping malls E to H use archetypes. In addition, in terms of font size, shopping malls A, C, E, and G use a font size of 12, and shopping malls B, D, F, and H use a font size of 10.

According to embodiment B on the right side of FIG. 13, four shopping malls of A to D out of 8 shopping malls use Gulim as fonts, and four shopping malls of E to H use archetypes as in Example A. One, in terms of font size, shopping malls A to D use a font size of 12, and shopping malls E to H use a font size of 10.

That is, even if viewed intuitively, it can be seen that there is no correlation between the font and the font size in Example A, but it can be seen that there is a correlation between the font and the font size in Example B. However, since the device needs to distinguish this, according to an embodiment of the present invention, the device uses an information gain to automatically calculate an item correlation. This will be described in more detail with reference to FIG. 14.

14 is a table for explaining a method of calculating an entropy gain value in the two embodiments of FIG. 13.

Referring to FIG. 14, the information gain is the first setting item when the setting value of the second setting item (eg, font size) can be inferred when the setting value of the first setting item (eg, font) is recognized. If you know the setting value of, it may not be necessary to know the setting value of the second setting item. That is, in this case, it can be seen that there is no information generated even when the set value of the second setting item is additionally recognized. It is said that there is no information gain.

This information gain can be calculated using an entropy value. Entropy is defined by the following equation.

Entropy =-sum(p_i * log(p_i))

This tends to increase in value when the number of distinct cases is large.

In the embodiments of A and B of FIG. 13, an entropy value can be calculated by independently placing a font and a font size. First, in the case of fonts, the selection share of Gulim is 1/2, and the arch font is also 1/2. When calculating the entropy value accordingly, Entropy = -1/2(log(1/2)-1/2log(1/2) = log(2) = 0.3. In the font size setting item, again, 12 Since and 10 each have half the selection share, Entropy = 0.3, that is, the entropy value of each setting item is 0.3.

Returning to Fig. 14, when the font and font size are considered together in the embodiment A, when the number of cases of different set values are grouped, four groups are obtained. Shopping malls A and C are group 1 with a font size of 12 in Gulim, shopping malls B and D are group 2 with a font size of 10 in Gulim, and shopping malls E and G are group 3 with a font size of 12 in archetype. And F and H shopping malls become group 4 with font size 10 in archetype. That is, in Example A, the number of each case is 4, and since the selection share is also equal to 1/4, Entropy = -1/4(log(1/4)-1/4log(1/4) = log (4) = 0.60206 In this case, the entropy gain value becomes 0.30103 by subtracting 0.30103, which is the entropy value for the information of one setting item, from 0.60206. That is, the entropy gain is generated by the setting value information of the additional setting item. do.

In the B embodiment, shopping malls A to D are divided into group 1 because they have a font size of Gulrim and 12, and shopping malls E to H are divided into group 2 because they have a font size of 10 and an arch font. In other words, the number of divisions is only two, which is the same as the independent entropy gain. That is, the entropy gain value, which is the difference between the entropy value of one setting item and the entropy value of two setting items, becomes 0. There is no gain caused by the setting value information of the additional setting item.

After all, if the user changes the two setting items at once, the number of font classifications becomes the number of font size classifications, and thus the number of classifications does not increase because the number of classifications is classified from two groups to two groups, as in Example B. On the other hand, if the two are changed independently, the distinct groups increase and classification becomes complex. That is, if there is a large increase in entropy, there is no correlation between the items, and if the entropy change is 0, the distribution does not change, so the correlation between the items is high.

The apparatus may quantitatively determine whether the correlation between the items is high or low by using the entropy gain value between these two items. As a result, it can be considered that the pair of setting items having high entropy gain and information gain has a low item correlation.

According to another embodiment of the present invention, in addition to the entropy gain value, the device calculates a Chi-square value of a group classified through the setting values of the two setting items to determine whether or not the association or independence between the at least two setting items. I can judge.

According to an embodiment of the present invention, the device may determine a calculation target of the item association degree by using the concentration calculation result. For example, since setting items with a relatively high concentration or relatively low concentration are likely to be unified as one value in the end or distributed over too many values, there is a possibility that there is little need to calculate the correlation of items between different setting items. high. Therefore, it is preferable to set a threshold value and determine the setting items having the concentration of the middle section as targets for calculating the item relevance, excluding the upper and lower concentration sections.

Alternatively, the device may determine a setting item having a relatively too small or too large entropy value as a meaning similar to the concentration level using the setting item's own entropy value and exclude it from the object of calculating the item correlation.

The device determines the object of item correlation calculation in the same manner as described above, forms a pair between the calculation target setting items, and calculates an information gain (calculated through entropy gain) for each pair of setting items. Then, the pair of setting items whose information gain is greater than the threshold value is determined as an independent setting item, and the pair of setting items whose information gain is smaller than the threshold value is determined as a related setting item to be set together.

In an embodiment of the present invention, when the setting value of the setting item has a very large data size such as text or image, the item relevance is calculated using a hash value of the data. In some cases, even when calculating the concentration, the above set value information is converted into a hash value and calculated.

15 is a flowchart illustrating a method of calculating an entropy gain value between setting item tables.

Referring to FIG. 15, the device may calculate an entropy gain value for each setting item table, which is a group of setting items of the same category. The device first calculates an entropy gain value between the setting items in the first setting item table (S1510). That is, assuming that the first to third setting items are included in the first setting item table, the device is a pair of the first setting item and the second setting item, the pair of the first setting item and the third setting item, and, After pairing the pair of the second setting item and the third setting item, an entropy gain value for each pair is calculated. Then, by calculating an inverse entropy gain value (which is calculated as Exp (-information gain)) (or may be called an inverse information gain value), setting items corresponding to the upper Y% may be extracted. Alternatively, a pair of setting items having an inverse entropy gain value greater than or equal to a threshold value is extracted.

After calculating the item association degree between the setting items in the individual setting item table as described above, the device calculates the item association degree by associating the pair of setting items in the different setting item tables (S1520). At this time, it is possible to calculate the item relevance by creating all pairs of setting items in the setting item table, but if there are too many setting items, only the setting items judged to have a high inverse entropy gain value from the individual setting item table are extracted. Thus, item association can also be determined as a calculation target. For example, a pair of setting items having an inverse entropy gain value corresponding to the top 10% is extracted from the first setting item table, and a pair of setting items having an inverse entropy gain value corresponding to the top 10% are also extracted from the second setting item table. After extraction, pairing is performed between the extracted setting items to calculate an item correlation for the generated pair of setting items.

16 is a diagram illustrating an embodiment of adjusting a user interface using an item association diagram calculated according to an embodiment of the present invention.

Referring to FIG. 16, the device adjusts the user interface so that setting items having an item association degree higher than a threshold value or an item association degree relatively high are associated and displayed. Also, setting values of setting items having a high degree of item relevance can be associated.

When the correlation between the A setting item and the B setting item is high, the device may change the setting value of the item B having a high correlation with the corresponding value in response to a change in the setting value of the item A. At this time, an item association degree between the first set value of item A and the second set value of item B is calculated, detects a change in setting from item A to the first set value, and adjusts the user interface so that item B is displayed, At this time, the default value of item B may be changed so that the default value becomes the second set value. In addition, when item A has a high degree of correlation with item C as well as item B, in response to change of setting of item A to the first set value, change of item B to second set value and item C 3 Changes to the set value can be made together.

17 is a conceptual diagram illustrating a method of constructing a style using an item association diagram between setting items.

Referring to FIG. 17, the device may construct a style by generating a combination of setting values using an item association value. Setting items 1 to 3 having a high degree of item association can be defined as one style setting item group. At this time, a style group identification name for identifying a corresponding style setting item group may be given based on the details of setting items 1 to 3. For example, if all of the setting items 1 to 3 are related to security, it may be referred to as a security style.

Then, the identifier of the set value combination of the style setting item group may be assigned according to the combination of the set values. For example, when setting item 1 has setting value 1, setting item 2 is setting value 2, setting item 3 has setting value 1, it is defined as "style 1", setting item 1 is setting value 2, setting item 2 may be defined as "style 2" when the setting value 3 and the setting item 3 have the setting value 2. Alternatively, the combination of the setting values of the style setting item group may be defined as "security style-high", "security style-medium", "security style-low", etc. based on the contents of the style. In this way, the group of the setting items with high item relevance is defined as the style setting item group, and the combination of the setting values of the group is defined as the style setting value identifier. If only is selected, the setting value of the setting item group can be set automatically.

User interface adjustment using setting values according to shopping mall characteristics

18 is a flowchart schematically illustrating a method of adjusting a user interface using a setting value according to a shopping mall characteristic according to an embodiment of the present invention.

Referring to FIG. 18, the device obtains set value information on a set item from shopping malls (S1810).

Then, the set value information is classified according to the characteristics of the shopping mall (S1820). In this case, the characteristics of the shopping mall for classification may be classified into a shopping mall sales level (eg, annual sales level), an item or business type handled by the shopping mall, an annual period of the shopping mall, and information related to an operator of the shopping mall.

The device analyzes the set value information classified according to the characteristics of the shopping mall (S1830). As for the analysis content, not only the concentration of each setting item and the item correlation analysis, but also the change in the highest setting value with the highest selection share in the corresponding item, and the change in the selection share are analyzed. For example, the device may classify and extract set value information of shopping malls whose products are handled by a shopping mall or shopping malls whose business type is "clothing", and then identify set value characteristics of shopping malls related to clothing by analyzing the extracted set value information. This may be utilized to achieve a setting specialized for a corresponding industry when the first shopping mall, which is an object to be set by the user, handles "clothing".

Then, the device acquires characteristic information of the first shopping mall, which is a specific shopping mall (S1840). The first shopping mall may be a target shopping mall for which a user performs user setting. That is, it includes a shopping mall operated or related to the user himself.

The device analyzes the characteristic information of the first shopping mall and adjusts the user interface provided to the first shopping mall by using the analysis result analyzed based on the set value information of the shopping malls having characteristics matching the first shopping mall (S1850). .

Hereinafter, more specific details for performing the method of FIG. 18 will be described with reference to FIGS. 19 to 22.

FIG. 19 is a diagram illustrating a result of analyzing specific setting items based on shopping mall characteristics according to sales according to the method of FIG. 18.

Referring to FIG. 19, the device may analyze a setting value of a setting item in a setting item table based on sales characteristics of a shopping mall. According to the annual sales scale, 1) shopping malls of 1 million won or less, 2) shopping malls of 1 million to 10 million won, 3) shopping malls of 10 million to 100 million won, 4) shopping malls of 100 to 1 billion won, 5 ) Shopping malls of 1 billion to 10 billion, 6) shopping malls of 10 billion or more. These divisions do not necessarily have to be divided in the same manner as above, and can be divided into a plurality of sales segments by placing a single or plural appropriate reference value.

However, prior to analysis of the set value, 1) shopping malls of 1 million won or less may be shopping malls that are not actually operated, so it may be desirable to exclude them from the target of the set value analysis. Exclusion of the analysis target includes those excluded from the analysis of the above-described concentration and item association.

The device may analyze whether the first set value (Top 1) having the highest selection share among the set values of each set item has changed according to the increase in sales volume, and visualize it in the form of a graph. The graph at the top of Fig. 19 shows whether the first setting value has changed in the 1st setting (whether to call the log saving script), the 2nd setting (whether to use), and the 3rd setting (account code related) related to the Acounter. Show. In the third setting, it can be seen that about 50% of the change in the proportion of the first set value of the shopping malls having sales of between 1 million won and 10 million won and the shopping malls having sales of 10 billion won or more occurred at a ratio of 0.5. The device displays the change in specific gravity of the first set value in the order of the greatest change. The larger this value, the more the setting has changed. It can be seen that the 2nd and 1st items showed about 26% of the change in the first set value.

The device supports a shopping mall operator to recognize which setting should be changed according to an increase in his or her own sales by showing a graph of change according to the increase in sales of the first set value.

In addition, in the setting item summary table, the device analyzes and displays the selection share of the setting value according to the sales group for each setting item. Referring to FIG. 18, looking at item 1 (whether or not to call the Acounter log saving script), it can be seen that section 1 group (a shopping mall with sales of 1 million to 10 million) selects 98.1% T value and 1.9% F value. It can be seen that the first section group (a shopping mall with sales of 1 million to 10 million) selects 98.1% for the T value and 1.9% for the F value, and the second section group (a shopping mall with 10 million to 100 million sales) has a T value It can be seen that 96.3% is selected and the F value is 3.7%. In this way, it can be seen that the last 5 section group (a shopping mall with sales of 10 billion or more) selects the T value of 72.3% and the F value of 27.7%, and the T value is the first set value, and the selection ratio of the set value It can be seen that the change of 98.1-72.3 is about 26%. The device can appropriately refer to the set values of shopping malls corresponding to the sales period of the first shopping mall operated by the user by analyzing and visualizing the selection share of these Top 1 and Top 2 or other higher set values for each sales segment. Support.

According to an embodiment of the present invention, a message asking whether to set a shopping mall setting value having the same sales characteristics to a user is provided to a user terminal, and if the user agrees, analyzes the annual sales size of the user and determines the corresponding sales size. It is possible to control to automatically change the set value based on the result of analyzing set value information from shopping malls in the matching section. Alternatively, the user interface can be adjusted so that the analysis result becomes a default value. Or, as a large mall is an advanced shopping mall, it is expected that the setting of various setting items has been properly considered, so that the largest mall, that is, the shopping mall with sales of 10 billion or more, has the highest selection share based on the set value set. The user interface can be adjusted so that the analysis result becomes a default value by analyzing a combination of set values having a selection share. Alternatively, the analysis result can be copied as it is and automatically set. The setting items suitable for this method may include a non-bankbook deposit cancellation date, a shopping cart storage date, a bulletin board setting, a required item for member registration, a required input item for delivery, and a security-related setting corresponding to the technical operation of the shopping mall.

The embodiment of FIG. 19 illustrates that the analysis result is visualized and reflected in the user interface by dividing the section with sales characteristics, but the business type of the shopping mall (e.g., clothing (more specifically, sports clothing, suits, casual, women's clothing) , Men's clothing, etc.), sporting goods, shoes, electronic devices, books, etc.), and analyzing the set values of shopping malls in the business type that matches the business type of the first shopping mall operated by the user. It is also possible to visualize the results or adjust the user interface based on them. Not only the business type of the shopping mall, but also the annual year of the shopping mall, the characteristics and style of the shopping mall representative can be used as a factor for classifying the shopping mall.

20 is a graph for explaining a method of grouping shopping mall characteristics based on a sales scale and a share of a set value having a maximum selection share.

Referring to FIG. 20, in grouping shopping mall characteristics, analysis results of various trend graphs are utilized. The device may consider trends based on two or more factors rather than one factor. For example, the device groups shopping malls by considering not only the sales scale but also the ratio of the first set value (or the change rate of the first set value). In this case, a reference value for classification through the size of sales and a reference value for classification through the first set value may be preset. Alternatively, at least some of the reference values may be appropriately adjusted according to the characteristics of the setting item.

When the sales scale is large but the ratio of the first set value is high, since the trend is not well understood, grouping as in the embodiment of FIG. 20 may not be suitable. Therefore, the device groups only the setting items in which the ratio of the first set value decreases almost linearly or the ratio of the first set value is lower than the threshold value in inverse proportion to the large sales scale, as in the embodiment of FIG. You can make this apply.

In the graph of FIG. 20, group 1 is a group whose sales scale is greater than a certain value and the selection share of the first set value is very low. Group 2 is a group with a medium-sized sales volume between Groups 1 and 3, and a moderately high selection share of the first set value. Group 3 is a group close to 1, with a small sales volume and a fairly high selection share of the first set value.

Looking at the characteristics of Group 1, it can be seen that as the sales scale increases, various set values of the set items are used evenly. Accordingly, the device may adjust the user interface to select all setting values for the shopping mall belonging to the group 1. Group 2 is a group that uses almost the default value or the first setting value, but only a few shopping malls use different values. Accordingly, for the shopping mall belonging to the group 2, the device generates a basic setting with the default value as the first setting value, and adjusts the user interface to include an advanced setting (additional setting) displayed only when there is a user input ( See Figure 10). Since the shopping mall belonging to the group 3 is small and does not change the setting value, the user interface can be adjusted in a form that excludes the setting item from the target to be set.

21 is a flowchart illustrating a method of determining suitability of a setting item of a first shopping mall according to an embodiment of the present invention.

Referring to FIG. 21, the device may define a group of setting items having a high item correlation as a style. Here, degree information indicating the degree of a specific style can be generated according to a combination of setting values of the setting items constituting the style. This can be achieved by the device analyzing the meaning of the set value of a specific setting item. The device may match the meaning of the combination of the setting values of the setting items corresponding to the specific style, and can be used as the combination identifier of the setting values of the style.

In this way, the device obtains the degree information of the style setting item group 1 of the first shopping mall operated by the user (S2110). For example, if the analysis result of the setting values of the security-related setting items (security style setting item group) of the first shopping mall is interpreted as indicating that the security level is low, information of "low security level" is obtained as degree information. do.

Then, degree information of a setting item group 1 (eg, a security style setting item group) of shopping malls corresponding to the characteristics of the first shopping mall is obtained (S2120). For example, when the characteristic of the shopping mall is set as sales, the degree of information is obtained by analyzing a combination of setting values of the security style setting item group of shopping malls in the same section as the sales size of the first shopping mall.

Then, the device compares the two pieces of information (S2130), and determines whether to generate and display a guide message (S2140). If, in step S2120, information on the degree of "low security level" is obtained for the security style setting item group, and the degree information is the same as the setting value combination of the security style setting item group of the first shopping mall, the shopping mall of the same characteristic Since the style setting that is far from the above is not done, it is judged that it is an appropriate setting, and a message indicating that the style setting is not appropriate may not be generated. On the other hand, when the degree information of "high security level" is obtained in step S2120, since it is different from the degree information of the first shopping mall, the device sends a guide message such as "current security level is low" to the terminal related to the first shopping mall. Can provide. In this case, by providing information on the degree of security style setting values of shopping malls having the same characteristics, it is possible to query whether to change to a combination of the setting values. As for the group of setting items suitable for styling for each type of setting, whether or not FTP IP is restricted, security-related settings (eg, "High security-medium-low security"), bulletin board items (eg, "free writing-product review-oriented writing" -It can be classified as "Absolutely prohibiting malicious comments"). Among the above examples, if the security-related items can be graded by setting value, it is possible to collectively change so that there are no items that do not fit a specific level. In the case of posted items, rating may be difficult, but since there is an approximate relationship, the set value can be changed at once.

22 is a flowchart illustrating a method of loading a setting value of a suitable style according to response information of a key question.

Referring to FIG. 22, the device may display several key questions on a user terminal (a shopping mall operator's terminal) (S2210), and obtain response information thereto (S2220) to determine a shopping mall operator's tendency (S2230). After grasping the propensity of the operator, the device loads a setting value corresponding to the propensity (S2240) and provides it to the operator. For example, by asking questions about whether the business operator is an individual or a corporation, whether to operate mainly in Korea, overseas, what is the main handling item, and who is the target customer, the response is collected and the operator's shopping mall operation direction and/ Or you can determine your propensity. Then, the user interface may be configured by setting the settings of large shopping malls suitable for the corresponding attribute as default values.

In addition, as in the embodiment of FIG. 21, a query related to the bulletin board operation style, security level, and new member information level is asked, and a response is received to determine the operator's tendency, and then a style setting value corresponding thereto is derived. Interface can be configured.

According to an embodiment of the present invention, when an individual responds to a query for the key question "whether a business operator is an individual or a corporation", only the set value information on the set items of shopping malls as individual business operators is collected, and the degree of concentration and item association thereof After calculating, etc., the user interface can be appropriately configured according to the previous user interface adjustment methods using the calculated values. That is, only the set values of shopping malls corresponding to the response to the key query may be determined as a collection target for calculating the set value.

How to visualize item relevance

23 is a flowchart schematically illustrating a method of visualizing an item association diagram according to an embodiment of the present invention.

Referring to FIG. 23, the device obtains setting value information on setting items from shopping malls (S2310). Then, the set value information is analyzed to calculate an item relationship between the set items (S2320). The item association diagram may be calculated using the method of FIGS. 12 to 17 above.

The device may visualize the calculated item association diagram by creating a setting item related to the item association diagram as an object and displaying it on a previously generated visualization space (S2330). The device diagrams the setting item and the item correlation so that the user who sees it can easily grasp the correlation between the items.

FIG. 24 is a diagram illustrating a visualization of an item association diagram between setting items in one table according to the method of FIG. 23.

Referring to FIG. 24, the device objectifies setting items belonging to one setting item table as nodes 2410-1 to 2310-4: nodes. In addition, the item association diagram between the two nodes is objectified as a connection line connecting the two nodes. What is displayed on the visualization space can be called an item association map.

At this time, the nodes 2410-1 to 2310-4 and the connection lines 2410-1 to 2420-3 are generated as visual expressions corresponding to the setting item table to identify the setting item table. Different visual expressions mean different colors, shapes, etc. The device can objectify only the setting items having the item association diagram corresponding to the upper C% and the item association diagram thereof. At this time, the C value may be 1, 2, 3, 5, 10, 15, 20, 25, 30, 40, 50, etc., and preferably may be a value of 10 to 30. Alternatively, when the item association degree is lower than a predetermined threshold, the device may not object to a line indicating the item association degree and a node indicating a setting item related to the item association degree. In other words, it prevents the creation of an excessively complex map by not displaying the visual expression associated with the meaningless item association. The device may display at least some of the name, details, identification number, summary content, and summary information of the setting values included in the setting item around the node.

The connection lines 22420-1 to 2420-3 indicating the item association degree may have a thickness proportional to the size of the item association diagram. In addition, the nodes 2410-1 to 2310-4 may have a size corresponding to an entropy value of a corresponding setting item.

In the embodiment of FIG. 24, a node 2410-1 indicates a "purchase amount reference", which is a setting item 611, and a node 2410-2 indicates a "order status reference", which is a setting item 502. In addition, the connection line 2410-1 denotes an item relationship between the two nodes 2410-1 and 2410-2. In addition, the node 2410-3 indicates that the setting item 300 "uses or not" indicates that the size of the node 2410-3 is the largest, indicating that the entropy value of the setting item 300 is the largest. That is, it can be seen that the larger the node size is, the more various setting values are selected, and the smaller the node is, the more one setting value is selected. Also, seeing that the connection line 2420-3 is the thickest connection line, among the four setting items shown in FIG. 24, the 502 setting item "order status criterion" corresponding to the node 2410-2 and It can be seen that the item correlation degree of the setting item 300 "use or not" corresponding to the node 2410-3 is higher than the item correlation degree between other setting items. The visual representation of the connecting line follows the visual representation of at least one of the two nodes connected to the connecting line.

When there is a user input for a specific node 2410-1, the device connects a setting item associated with the node 2410-1 and/or a setting value analysis page of the setting item table including the corresponding setting item. The setting value analysis page may include at least one of a concentration summary graph, a setting value summary table, a concentration detail page for each setting item, and a setting item detail page for each shopping mall property.

Also, the device may move the selected node according to a user input for selecting and moving a specific node. That is, when the node at the first point is moved to the second point, the node and the connection line move accordingly. The node moved to the second point may be visualized to move dynamically on an extension line with the first point.

The device may allow nodes and nodes, nodes and connecting lines, and connecting lines and connecting lines to overlap in a two-dimensional space. By giving different depth values to overlapping arrangements, nodes and connecting lines can be visualized in three dimensions.

Through this visualization method, the user can confirm that the setting item 502 associated with the node 2410-2 has the highest degree of correlation with other setting items. When the user wants to correct the inefficiency of the setting items, the user may preferentially consider the content of setting item 502, which has a high correlation with other setting items.

FIG. 25 is a diagram illustrating a visualization of an item association diagram of setting items of a plurality of tables according to the method of FIG. 23.

Referring to FIG. 25, when the device completes visualization of the item association diagram for one setting item table, the device starts visualizing the item association diagram for the next setting item table. When performing the visualization of the item association diagram for a plurality of setting item tables in this way, it may be difficult to identify between setting items. To prevent this, the device generates the setting items 976 and 904 of the first setting item table as nodes of the first color, and the setting items 1046 of the second setting item table as nodes of the second color. I can.

In addition, the device may visualize a connection line between nodes of different setting item tables in the same color as any one of the two nodes. For example, the connection line between the node 1052 and the node 1134 is visualized in the same color as the node 1052. When the device needs to select one of the two nodes for visualization of the connection line, the device can make the node's entropy value follow the color of the node with a larger value.

User interface adjustment device

26 is a schematic block diagram of an apparatus for adjusting a user interface according to an embodiment of the present invention. As shown in FIG. 26, the sales volume prediction apparatus according to an embodiment of the present invention may include a communication unit 2610, a memory 2620, a processor 2630, an input unit 2640, and an output unit 2650. .

Referring to FIG. 26, the communication unit 2610 is a component for communication with other devices. This may be implemented by an antenna or an electronic circuit related to communication, a communication processor.

The memory 2620 is a storage that stores program instructions related to work in the processor 2630. The memory 2620 may store individual modules (a concentration calculation module, an item correlation calculation module, etc.) for efficiency of user setting and setting value information of shopping malls.

The processor 2630 analyzes the set value information based on the command stored in the memory 2620 and performs an operation of calculating concentration and item association for user interface adjustment based on the analyzed content.

The processor 2630 collects shopping mall set value information according to a preset period, analyzes the collected set value information, and calculates concentration. The concentration may include first to third concentration indicators. Also, the item association is calculated based on the shopping mall setting value information. The processor 2630 may appropriately adjust a user interface provided for setting a user's set value using the calculated concentration and item association.

The processor 2630 categorizes the set value information according to the characteristics of the shopping mall, analyzes the rate of change of the first set value having the largest selection share per set item, visualizes it, and provides it to the user terminal. In addition, based on the analysis result based on the characteristics of the first shopping mall operated by the user and setting value information of the corresponding shopping malls, the user interface is adjusted to increase the efficiency of setting of the first shopping mall. The processor 2630 visualizes the item association so that the user can intuitively understand the setting item and the item association diagram between at least two setting items by creating an object as an object and displaying it on a visualization space.

The input unit 2640 is a component for user input, and may include a keyboard, a mouse, and a touch pad, and receives user input such as selection of a setting value of a setting item.

The output unit 2650 includes display means for displaying a screen. This may include a monitor, a TV screen, and the like. The output unit 2650 may display a table related to a concentration degree and an item correlation degree and an adjusted user interface using the display means, and display a visualization graph of the item relation degree of FIGS. 24 and 25.

The system or device described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the systems, devices, and components described in the embodiments include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA). ), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions, such as one or more general purpose computers or special purpose computers. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, those of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to behave as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in a transmitted signal wave. The 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.

The method according to the embodiments may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in 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. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of the program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

As described above, although the embodiments have been described by the limited embodiments and drawings, various modifications and variations are possible from the above description by those of ordinary skill in the art. For example, the described techniques are performed in a different order from the described method, and/or components such as a system, structure, device, circuit, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and claims and equivalents fall within the scope of the claims to be described later.

Claims (22)

Collecting setting value information of a plurality of shopping malls for a plurality of setting items associated with the shopping mall, each of the plurality of setting items having at least two setting values;
Analyzing the collected setting value information to calculate an item association degree between at least two setting items among the plurality of setting items; And
Comprising the step of visualizing the association between the setting items by generating at least some of the plurality of setting items and an item association diagram between the at least two setting items as an object and placing them on a visualization space, A way to visualize the association between configuration items. The method of claim 1,
Each of the plurality of setting items is objectified as one node; And
The method of visualizing the correlation between the setting items in which the item association diagram between the at least two setting items is converted into an object as a connection line connecting two nodes. The method of claim 2,
The node is displayed in different visual expressions according to the setting item table to which the setting item belongs. The method of claim 3, wherein the visualizing step,
Comprising the step of visualizing only nodes belonging to a specific setting item table and their connection lines on the visualization space according to a user input, and visualizing the correlation between setting items. The method of claim 2,
The connection line is displayed in different visual expressions according to the size of the item association diagram. The method of claim 5,
The connection line is displayed in a different thickness according to the size of the item association diagram, a method for visualizing the association between setting items. The method of claim 2,
The connection line is displayed in the same color as at least one of the two nodes associated with the connection line. The method of claim 2,
The method for visualizing the association between the setting items, wherein the item association degree is less than the threshold value and the item association diagram between the setting items is not displayed on the visualization space. The method of claim 2,
In the vicinity of the node, an identifier of a setting item or a name of a setting item related to the node is displayed as an object. The method of claim 2,
The node and the connection line are arranged in three dimensions, a method for visualizing the association between setting items. The method of claim 2,
Visualizing the specific node and at least one connection line connected to the specific node to be identified in response to selecting a specific node by user input. The method of claim 2,
A method of visualizing the correlation between setting items in which the specific node is moved and arranged in response to selecting and moving a specific node by user input. The method of claim 2,
A method of visualizing the correlation between setting items, in which the specific node is visualized so that it moves dynamically in response to selecting and moving a specific node by user input. The method of claim 2,
The size of the node is proportional to the entropy value of the node, a method for visualizing the association between setting items. The method of claim 2,
In response to selecting a specific node by user input, detailed contents associated with the selected specific node are displayed. The method of claim 1,
The item association diagram is generated by additionally recognizing information related to selection of a second setting item belonging to the plurality of setting items compared to information related to selection of a first setting item belonging to the plurality of setting items. A method of visualizing the association between setting items, calculated by an information gain value representing a gain. The method of claim 1,
The item association diagram is calculated by calculating at least one of a first entropy value of a first setting item belonging to the plurality of setting items and a second entropy value of a second setting item belonging to the plurality of setting items, 1 It is generated by calculating a third entropy value of a pair of setting items in which the setting item and the second setting item are paired, and calculating a difference value of at least one of the third entropy value and the first entropy and the second entropy. A method of visualizing the correlation between setting items, derived based on the entropy gain value. A memory for storing setting value information of a plurality of shopping malls for a plurality of setting items related to a shopping mall and a command related to an operation of a processor, each of the plurality of setting items having at least two setting values; And
By analyzing the setting value information of the plurality of shopping malls, an item association degree is calculated between at least two setting items among the plurality of setting items, and between at least some of the plurality of setting items and the at least two setting items An apparatus for visualizing the association between setting items, including a processor for visualizing the association between setting items by generating an item association diagram as an object and placing it on a visualization space. A user terminal requesting a first user interface for setting a set value of at least some of a plurality of setting items associated with the shopping mall in relation to the first shopping mall, each of the plurality of setting items having at least two setting values Having; And
By analyzing the setting value information of a plurality of shopping malls for the plurality of setting items, an item association degree between at least two setting items of the plurality of setting items is calculated, and at least some of the plurality of setting items and the A system that visualizes the association between setting items, including a server that visualizes the association between setting items by generating an item association diagram between at least two setting items as an object and placing it on a visualization space. Collecting setting value information of a plurality of shopping malls for a plurality of setting items related to the shopping mall, each of the plurality of setting items has at least two setting values, and the plurality of setting items includes setting items of the same category. Consists of a grouped table of multiple setting items;
Analyzing setting items belonging to a first setting item table among the plurality of setting item tables to calculate and visualize an item correlation between setting items in the first setting item table;
Analyzing setting items belonging to a second setting item table among the plurality of setting item tables, calculating an item association degree between setting items in the second setting item table, and visualizing it; And
An item association degree of a first setting item having a relatively high item association degree in the first setting item table and a second setting item having a relatively high item association degree in the second setting item table is calculated, Visualizing by associating and visualizing the second setting items, the setting items including the step of visualizing by linking the visualized setting items belonging to the first setting item table and the visualized setting items belonging to the second setting item table How to visualize the association between them. A memory for storing setting value information of a plurality of shopping malls for a plurality of setting items related to a shopping mall and a command related to an operation of a processor, each of the plurality of setting items having at least two setting values, and the plurality of The number of setting items is composed of a plurality of setting item tables grouping setting items of the same category; And
By analyzing the setting items belonging to the first setting item table among the plurality of setting item tables, calculating and visualizing the degree of item association between the setting items in the first setting item table, and visualizing the second setting item among the plurality of setting item tables By analyzing the setting items belonging to the table to calculate and visualize the item correlation between the setting items in the second setting item table, the first setting item and the second setting item having a relatively high degree of item correlation in the first setting item table By calculating the item relevance of the second setting item having a relatively high item relevance in the setting item table, and visualizing the first setting item and the second setting item, visualized belonging to the first setting item table A device for visualizing a correlation between setting items, comprising a processor for visualizing by linking and visualizing setting items and visualized setting items belonging to the second setting item table. A user terminal requesting a first user interface for setting a set value of at least some of a plurality of setting items associated with the shopping mall in relation to the first shopping mall, each of the plurality of setting items having at least two setting values And the plurality of setting items is composed of a plurality of setting item tables in which setting items of the same category are grouped; And
By analyzing the setting items belonging to the first setting item table among the plurality of setting item tables, calculating and visualizing the degree of item association between the setting items in the first setting item table, and visualizing the second setting item among the plurality of setting item tables By analyzing the setting items belonging to the table to calculate and visualize the item correlation between the setting items in the second setting item table, the first setting item and the second setting item having a relatively high degree of item correlation in the first setting item table By calculating the item relevance of the second setting item having a relatively high item relevance in the setting item table, and visualizing the first setting item and the second setting item, visualized belonging to the first setting item table A system for visualizing correlation between setting items, comprising a server for visualizing by linking and visualizing setting items and visualized setting items belonging to the second setting item table.

Images