KR101157744B1 - Method and system for recommending products based on preference and presenting recommended products for customers - Google Patents

Abstract

The recommended product three-dimensional display method of the present invention comprises a taste map arranged two-dimensionally by analyzing taste elements with two emotional attributes, and a product map having two-dimensionally arranged goods corresponding to the topography of the taste map. Providing a product, extracting products corresponding to at least one taste element selected from the taste map from the product map, and determining the product as a recommended product, among the plurality of categories of meta information describing the recommended products; 3 Once the category is determined, each recommended product is arranged according to the azimuth component classified according to the meta information belonging to the first category and the vertical axis component sorted according to the meta information belonging to the second category and the meta information belonging to the third category. Determining three-dimensional coordinates having a horizontal component, and placing three-dimensional coordinates on the three-dimensional coordinates of visualization display information for visualizing recommended products. It may include a step of displaying the step of rendering a three-dimensional matrix, and Riggs in the display.

Description

TECHNICAL AND SYSTEM FOR RECOMMENDING PRODUCTS BASED ON PREFERENCE AND PRESENTING RECOMMENDED PRODUCTS FOR CUSTOMERS}

The present invention relates to a product recommendation method, and more particularly, to a method and system for recommending a product based on taste factors selected by a user.

Product recommendation services are now widely used in marketing, especially by analyzing the purchasing behavior of customers and recommending products that are likely to be favored by those customers, or by products that other customers with similar purchasing behavior have bought or showed interest in. It is mainly evolving in a way that makes recommendations to customers.

These purchasing behavior-based product recommendation services operate under the assumption that the customer's purchasing behavior pattern will be consistent in nature, and it is highly likely that the customer will not receive practical help at this point because he recommends the customer with past data. For example, a customer is disappointed with an existing product and wants a new style of product. The conventional product recommendation service will recommend products that were previously preferred according to the buying behavior pattern of the past customer.

Another product recommendation service is simply a way of recommending to a customer a product that is popular with a particular group of customers that the customer belongs to. However, this product recommendation service is based on past purchase data of multiple customers, assuming that customers belonging to a certain group will prefer similar products.

Therefore, there is a need for a service that can recommend the most suitable product based on the abstract taste elements that the customer is currently choosing.

The problem to be solved by the present invention is to provide a method and apparatus for recommending the most suitable product based on the abstract taste elements presently held by the customer.

Recommended goods three-dimensional display method according to an aspect of the present invention,

Analyzing taste elements with two emotional attributes and providing a taste map arranged two-dimensionally and a product map two-dimensionally arranged to correspond to the terrain of the taste map;

Determining, by the customer, products corresponding to at least one taste element selected from the taste map from the product map to be recommended products;

When a first to third category is determined among a plurality of categories of meta information describing the recommended products, the azimuth component classified according to the meta information belonging to the first category for each recommended product belongs to the second category. Determining three-dimensional coordinates having vertical axis components aligned according to meta information and horizontal axis components aligned according to meta information belonging to the third category;

Rendering a three-dimensional matrix in which visualization display information for visualizing the recommended product is arranged in the three-dimensional coordinates; And

The method may include displaying the 3D matrix on a screen.

According to an embodiment, the taste element may include at least one of a color, a color combination, a phrase, and an associative image.

According to an embodiment, the meta information may include at least one of a brand name, a brand, a price, a color, a material, a taste factor, a popularity, a rating, and a product characteristic.

According to one embodiment, the recommended product 3D display method,

When the customer selects a specific recommendation product from the 3D matrix, the method may further include displaying the visualization display information and the meta information on the auxiliary display area.

According to another aspect of the present invention, a three-dimensional display method of data,

If a first to third category is determined among a plurality of categories of meta information describing a data item, the azimuth component classified according to the meta information belonging to the first category for each data item and the meta belonging to the second category Determining three-dimensional coordinates having a vertical axis component aligned according to the information and the horizontal axis component aligned according to the meta information belonging to the third category;

Rendering a three-dimensional matrix having visualization display information visualizing the data item at the three-dimensional coordinates; And

The method may include displaying the 3D matrix on a screen.

Recommended goods three-dimensional display system according to an aspect of the present invention,

A map database including a taste map arranged in two dimensions by analyzing taste elements in two emotional attributes, and a product map arranged in two dimensions in accordance with the terrain of the taste map;

A product recommendation unit configured to extract products corresponding to at least one taste element selected by the customer from the taste map from the product map and determine a recommended product; And

When a first to third category is determined among a plurality of categories of meta information describing the recommended products, the azimuth component classified according to the meta information belonging to the first category for each recommended product belongs to the second category. The apparatus may include a matrix generator configured to determine three-dimensional coordinates having vertical axis components aligned according to the meta information and horizontal axis components aligned according to the meta information belonging to the third category.

According to one embodiment, the recommended product 3D display system,

The apparatus may further include a 3D display unit configured to render a 3D matrix having visualization display information for visualizing the recommended product at the 3D coordinates.

According to one embodiment, the recommended product 3D display system,

The customer may further include a two-dimensional display unit which displays the visualization display information and the meta information on the auxiliary display area when the customer selects a specific recommendation product from the three-dimensional matrix.

Recommended goods three-dimensional display system according to another aspect of the present invention,

Analyzes taste elements into two emotional attributes and maintains a taste map arranged two-dimensionally and a product map two-dimensionally arranged to correspond to the terrain of the taste map, and selected by the customer in the taste map. When products corresponding to at least one taste element are extracted from the product map to determine a recommendation product, and among the categories of a plurality of meta informations describing the recommended products, the first to third categories are determined, each recommendation A three-dimensional product having an azimuth component classified according to the meta information belonging to the first category for each product, a vertical axis component sorted according to the meta information belonging to the second category, and a horizontal axis component sorted according to the meta information belonging to the third category A product recommendation server for determining coordinates; And

It may include a terminal for rendering the three-dimensional matrix arranged in the three-dimensional coordinates the visualization display information for visualizing the recommended product on the screen.

According to an embodiment of the present disclosure, the terminal may be configured to display the taste map to the customer from the product recommendation server and to transmit the taste element selected by the customer to the product recommendation server.

According to an embodiment of the present disclosure, the terminal may further include a two-dimensional display unit which displays the visualization display information and the meta information on the auxiliary display area when the customer selects a specific recommendation product from the three-dimensional matrix.

The three-dimensional display system of the data according to an aspect of the present invention

A database for storing data items; And

When a first to third category is determined among a plurality of categories of meta information describing the data item, each data item belongs to the azimuth component classified according to the meta information belonging to the first category and belongs to the second category. It may include a three-dimensional matrix generating unit for determining the three-dimensional coordinates having the vertical axis component aligned according to the meta information and the horizontal axis component aligned according to the meta information belonging to the third category.

According to the method and system of the present invention, a customer can be recommended a number of goods or services by selecting an abstract taste element that he currently has.

Further, according to the method and system of the present invention, it is possible to display recommended goods or services in a three-dimensional matrix and to allow customers to browse and select.

1, 2, 3 and 4 are diagrams illustrating a taste map that may be used in one embodiment of the present invention.
FIG. 5 is a diagram illustrating a product map in which an item seller arranges goods according to a geometry of at least one taste map in an embodiment of the present invention.
FIG. 6 is a conceptual diagram illustrating that a recommendation product is determined by matching a product in a product map with respect to a taste selected by a customer according to one embodiment of the present invention.
FIG. 7 illustrates an example of displaying recommendation products in a three-dimensional matrix on a three-dimensional matrix based on recommended product data according to an embodiment of the present invention.
8 is a flowchart illustrating a method for recommending a product, structuring to display the recommended product data in three dimensions and generating a three-dimensional matrix according to an embodiment of the present invention.
9 is a block diagram schematically illustrating a recommended product 3D display system according to an embodiment of the present invention.
10 is a system diagram illustrating a mobile recommendation product 3D display system according to an embodiment of the present invention.

For the embodiments of the invention disclosed herein, specific structural and functional descriptions are set forth for the purpose of describing an embodiment of the invention only, and it is to be understood that the embodiments of the invention may be practiced in various forms, The present invention should not be construed as limited to the embodiments described in Figs.

Hereinafter, with reference to the accompanying drawings, it will be described in detail a preferred embodiment of the present invention. The same reference numerals are used for the same constituent elements in the drawings and redundant explanations for the same constituent elements are omitted.

1, 2, 3 and 4 are diagrams illustrating a taste map that may be used in one embodiment of the present invention.

Referring to FIG. 1, the taste map assigns emotional properties to the horizontal and vertical axes of the two-dimensional plane, and expresses emotions according to the intensity of the corresponding emotional property on the two-dimensional plane. It is the arrangement of taste elements such as image and texture.

In this case, the emotional properties assigned to the horizontal axis and the vertical axis are mathematically expressed as 'orthogonal' properties, which are concepts that can derive a third emotion from the intersection points. Conversely, some emotions are analyzed using two independent emotional attributes.

In the example of FIG. 1, the abscissa is assigned a dynamic attribute. To the left are placed dynamic words, colors, color combinations, association images, etc. To the right are placed static words, colors, color combinations, association images, etc. The vertical axis, on the other hand, is assigned a strength and weakness attribute. As you move downwards, you will place a strong, hard word, color, color combination, or associative image. As you move upwards, you will place a soft, soft word, color, color combination, or associative image.

For example, 'feeling cheerful' is classified as very dynamic in terms of dynamic properties and slightly soft in terms of strength and weakness. Thus, in the taste map of FIG. 1, the 'light feeling' will be placed in a coordinate region that is biased to the left on the horizontal axis and slightly upward on the vertical axis.

As such, in addition to the modifiers describing emotions, the color combinations, or the colors themselves, may be similarly placed on the taste map if they are classified based on the dynamic attributes and the intensity attributes. For example, in FIG. 1, a combination of dark green, very light yellow, and slightly light green, was placed in the middle of the second quadrant of the taste map, which was evaluated to be very dynamic and slightly soft. Furthermore, if several color combinations are placed around the location of the 'light feeling' in this way, the seller can represent such color combinations as a modifier of 'light feeling'.

Such a taste map can be used when recommending to customers a product in which coloration plays an important role, for example, clothes, furniture, indoor and outdoor designs, and the like.

The taste elements placed on the taste map may vary. For example, using a favorite celebrity as a taste element, the names or photos of the celebrities may be arranged in the taste map according to the dynamic attribute and the intensity attribute from the image of the celebrity.

The method of arranging colors, color combinations, associative images, or emotional modifiers on the taste map may vary, and the result may be different according to subjective criteria. In addition, the shape, coordinates, or width of the area occupied by each taste element may be appropriately selected depending on, for example, the results of a survey or psychological study of customers, or the intention, strategy, and experience of a seller or a producer. .

2 is a taste map that can be used in an embodiment of the present invention, and illustrates a taste map in which modifiers expressing sensations and characteristics are arranged.

Referring to FIG. 2, various modifiers such as 'elegant', 'splendid', 'noble', 'gentle', and 'modern' are arranged according to dynamic and strength attributes that make each person feel.

On the other hand, one representative modifier may be grouped to represent several similar feeling modifiers. For example, the modifier 'decent' can represent 'reasonable', 'formal', 'chic', traditional 'and' classy '. Furthermore, there may be modifiers represented by two or more representative modifiers. For example, the modifier "luxury" belongs to the group of modifiers "elegant" but also to the group of modifier "decent". Since creating a taste map is a task of classifying taste and taste, there may be no absolute standard.

3 is a taste map that can be used in an embodiment of the present invention, which illustrates a taste map in which the taste map is divided into a few blocks and the modifiers are arranged.

Referring to FIG. 3, the horizontal axis is based on emotional properties of temperature, and the vertical axis is based on emotional properties of strength and weakness.

The four blocks in the middle are moderate, and are linked with modifiers such as 'elegant' and 'chic'. The three blocks in the upper left are warm and soft, linked to modifiers such as 'pretty', 'light' and 'romantic'. The upper three blocks are soft and cool, and are linked to modifiers such as neat and natural. The three blocks in the lower left are warm and hard, linked to modifiers like 'sporty' and 'individual'. The lower three blocks are cool and hard, and can be connected to modifiers such as 'quiet' and 'thick'.

1 to 3 illustrate a color or a modifier for expressing a sense in a taste map, other concepts may also be arranged in the taste map.

FIG. 4 is a taste map that may be used in one embodiment, and illustrates a taste map in which modifiers representing materials are arranged.

Referring to FIG. 4, the horizontal axis is based on the dynamic property and the vertical axis is based on the strength property. Unlike the previous examples, the taste map includes modifiers indicating material or texture, for example, wood, iron, stone, Words such as cotton and paper are arranged.

In Figures 1 to 4, the indications disposed at each coordinate of the taste map may be different, but it can be said that they share the same senses because the attributes of the coordinate axis are common to each other. For example, if a customer wants a product that is slightly soft, not too dynamic and not too static, the taste map of FIGS. 1-4 shows that the customer is a 'natural (natural)' taste. However, you can identify the color combinations and materials that suit your taste.

The present invention is conceived in this regard, the seller makes a product map in which the seller classifies and placed their products on at least one taste map according to the overall feeling, color, material, etc., the area where the customer has their taste on the taste map If is selected, products and products on the product map corresponding to the taste element corresponding to the selected area are recommended.

FIG. 5 is a diagram illustrating a product map in which an item seller arranges goods according to a geometry of at least one taste map in an embodiment of the present invention.

Referring to FIG. 5, a product map created by classifying and arranging audio products to be sold by a product seller according to color and design is illustrated. Corresponding taste element data is determined according to the coordinates and the area where the product is arranged on the product map. The taste element data is data indicating which taste element the taste element on the taste map on which the product map is based is given to a certain product. Each product may be given one or more taste element data.

In this way, corresponding taste element data is determined for all products, and a product database is constructed from product data such as a product name, a product description, a sales condition, a product image, and taste element data of the product.

What can be placed on the product map is not only a shaped product, but also intangible goods such as movies and music, and services.

FIG. 6 is a conceptual diagram illustrating that a recommendation product is determined by matching a product in a product map with respect to a taste selected by a customer according to one embodiment of the present invention.

Referring to FIG. 6, the map on the left is a taste selection map asking a customer a desired taste, and the map on the right is a product map.

The customer may select at least one taste element of his or her preference on the taste selection map. At this time, since the product map and the taste selection map share the same emotional attributes (ie, the horizontal axis and the vertical axis are the same as the dynamic attribute and the strength attribute, for example, respectively), the product corresponding to the same taste factor or region as the taste element selected by the customer. The product on the map may soon be determined as a recommendation product suitable for the taste of the customer.

Furthermore, if multiple product maps are constructed using the same emotional attributes as coordinate axes, various kinds of products corresponding to one taste element selected by the customer may be recommended in the multiple product maps.

At this time, according to the embodiment, not only the taste element selected by the customer, but also products corresponding to the taste elements within a similar range may be automatically recommended or with the consent of the customer. For example, when a customer selects a taste element of 'loving' in a taste selection map such as the taste map of FIG. 2, the representative modifier 'cute' representing a group containing a 'lovely' modifier or ' All the remaining modifiers in the group containing the lovely 'modifiers can also be selected as taste factors and corresponding products can be recommended.

On the other hand, in the embodiment of the present invention, after the products corresponding to the taste element selected by the customer are recommended, a method for displaying the recommended products to the customer is described next.

The data of each recommendation product may be structured as meta information, arrangement information, and content information for describing the recommendation product. However, the arrangement information is not an essential element of the data item, but may be information temporarily determined to display the data item on the screen.

In general, meta information is additional information for describing data. The meta-information can be used to increase the utilization of the data by recognizing what the data is about and who created it when and how.

In the present invention, the meta information includes main words and visual indications, and may further include taste element data. The key word may be the name, model name, brand, brand, catch phrase, etc. of the product that can represent the product. The main language may be two or more phrases having different meanings, or may be different kinds of linguistic expressions having the same meaning. The visual display may be at least one two-dimensional image, icon, or three-dimensional model that can represent the product.

The meta information is displayed on the screen when the recommended products are arranged in a three-dimensional matrix. For example, the visual indication may be displayed in any cell on the half plane of the three-dimensional matrix, and the main word may be displayed in the two-dimensional auxiliary display area when the recommendation product is selected, for example by a mouse cursor.

The taste element data is data indicating at least one taste element of the product, and may belong to meta information describing the product. The taste element data may have a modifier, a color, a color combination, a texture, an associative image, and the like.

The arrangement information is information for determining where to arrange the recommended products in the three-dimensional matrix. The arrangement information may be predetermined, but may be determined immediately before displaying on the screen after searching for the recommended product.

In the present invention, the three-dimensional matrix is a virtual structure for displaying data items on a defined area of the virtual half-planes on the longitudinal axis, that is, on a cell. The coordinates of the cell can be represented by the horizontal axis, vertical axis, and azimuth component. It is desirable that data items related to each other be displayed in cells on the same half plane. Thus, the most important coordinate component is the azimuth angle. For example, it is possible to arrange products belonging to one brand, represented at the same azimuth, that is, in one virtual half plane. The goods may then be arranged in an order of price or popularity in one half-plane, where the abscissa coordinates and the ordinate coordinates may be determined according to such categories as price or popularity. For example, it would be desirable for data items to be displayed in an upper cell to a lower cell, or an inner cell to an outer cell, in ascending or descending order depending on price or popularity criteria. The next important coordinate component is therefore the vertical and horizontal coordinates.

As such, in order to display the data items in a certain order, the arrangement information may have information belonging to the first category, the second category, and the third category, respectively, determined based on the meta information. According to the first to third categories previously designated or immediately determined, it is possible to determine which coordinates, ie, which cells, are to be displayed in the three-dimensional matrix, respectively, in the data items. The azimuth component, that is, the half plane, is determined according to the information corresponding to the widest first category, the vertical coordinate component is determined according to the information corresponding to the middle second category, and the horizontal axis according to the information corresponding to the third narrowest category. Coordinate components can be determined.

For example, the first category may be determined by brand, the second category by color, the third category by price, the first category by material, the second category by price, the third category by brand name, and the first category. May be a taste factor, a second category may be a material, and a third category may be a price.

On the other hand, only the first category that determines which half-plane belongs and the second category and the third category may be unspecified. In this case, data items within one half plane may be randomly arranged without overlapping each other.

Finally, the content information may include information such as text, hypertext, document, photo, or other multimedia attached to the corresponding data item. For example, the content information included in the data item of the recommended product may be a product manual, a photograph of use, a sales condition, or reference material.

FIG. 7 illustrates an example of displaying recommendation products in a three-dimensional matrix on a three-dimensional matrix based on recommended product data according to an embodiment of the present invention.

Referring to FIG. 7, the 3D matrix 72 is positioned in the 3D display area 71 in the center of the screen. The two-dimensional auxiliary display areas 73 to 76 may be further around the three-dimensional matrix 72 to increase the efficiency of searching and browsing. Depending on the embodiment, the three-dimensional matrix 72 may be rotated at a predetermined rotational speed so that the customer can browse the overall three-dimensional matrix 72 as a whole, or the customer drags using a mouse or the like to the three-dimensional matrix 72. 72 may be rotated at any angle and direction.

The three-dimensional matrix 72 has radially formed half planes 721 at a predetermined azimuth angle. Each of the half planes 721 is arranged with a plurality of cells 722, 723. Recommended products are placed on the plurality of cells 722, 723.

According to the embodiment, the recommendation products are determined by the azimuth angle using the color of the taste element as the first category, and then in the corresponding half plane 721 according to the average brightness value (vertical axis) and saturation value (horizontal axis) of the product image, respectively. It may be displayed in the three-dimensional matrix 72 in such a way that it is disposed in the cells 722, 723.

In another embodiment, the recommended products are determined in azimuth with the brand as the first category, and then within the corresponding half plane 721 the respective cells according to price (second category, vertical axis) and color (third category, horizontal axis). 722, 723 may be represented in the three-dimensional matrix 72.

In another embodiment, the recommendation products are determined by the azimuth angle using the taste element selected by the customer as the first category, and thus, the recommendation items corresponding to the same taste element are disposed in each half plane 721, and then the corresponding half plane 721. ) May be displayed on the three-dimensional matrix 72 in such a way that the cells are arranged in the respective cells 722 and 723 according to popularity or brand name.

As such, each recommendation product in the three-dimensional matrix 72 may be classified and arranged according to various criteria. The classification criteria and the alignment method exemplified above are merely exemplary applications of the present invention and are not limited to these applications.

Cells 723 and 724 located at each coordinate of each half-plane 721 of the three-dimensional matrix 72 are illustrated as quadrangles, but may be, for example, circular planar figures or three-dimensional like spheres.

Further, the size of each cell 722 is illustrated as being substantially the same, and may look different depending on the perspective. However, in some embodiments, a cell 722 may be relatively larger than another cell 723. For example, the size of the cell 722 may be large depending on the number of duplicates, importance, search accuracy, and the like of the retrieved data. .

One or more two-dimensional display areas 73 to 76 may be formed around the three-dimensional matrix display area 71 to facilitate browsing of the three-dimensional matrix 72.

For example, on the left side of the three-dimensional matrix 72, there is a display mode selection window 73 that can selectively hide or show each half-plane of the three-dimensional matrix 72. In addition, if the customer selects a visual representation, i.e., an icon, in one cell 722 of the three-dimensional matrix 72 (e.g., clicks on cell 722 with a mouse cursor or places the mouse cursor over cell 722). Raising operation), meta information display windows 74 and 75 in which the meta information of the data items arranged in the selected cell, that is, the main word and the icon image are displayed.

On the right side of the three-dimensional matrix 72, there is a taste display selection window 76 in which the taste display of the three-dimensional matrix 72 can be selected. For example, the taste display selection window 76 includes a button for reselecting among various taste elements selected by the customer. If the number of recommended products searched according to the taste element selected by the customer is too large, and the user wants to hide some of them, if the customer deselects some taste elements, the related products may be removed on the screen. In this case, the removed products may be de-displayed only in the cells of the three-dimensional matrix 72, or the three-dimensional matrix 72 may be rebuilt without the removed products.

Further, although not shown in the drawing, auxiliary information such as search terms used to generate the currently displayed three-dimensional matrix 72, the number of retrieved data items or the number of data items displayed in the three-dimensional matrix, statistics, and related information are displayed. The two-dimensional auxiliary display areas may be further prepared.

8 is a flowchart illustrating a method for recommending a product, structuring to display the recommended product data in three dimensions and generating a three-dimensional matrix according to an embodiment of the present invention.

Referring to FIG. 8, in step S81, various taste elements are analyzed as two emotion attributes in relation to a predetermined kind of taste, for example, color, color combination, emotional modifier, associative image, texture, and the like, in two dimensions. Provides a taste map arranged in a conventional manner, and a product map in which goods are arranged in the terrain of the taste map.

In step S82, the customer extracts products on the product map corresponding to the taste elements selected from the taste map, and determines the extracted products as the recommended product.

In step S83, three categories are selected from the categories of meta information describing the recommended products. The three categories can be a relatively more important first category, an intermediate second category and a less important third category. The kind of meta information describing the recommended products may be, for example, a product name, a brand, a price, a color, a material, a taste factor, a popularity, a rating, a main characteristic, and the like.

In step S84, with respect to the three-dimensional matrix including the virtual half planes formed radially with respect to the longitudinal axis, the virtual half plane determined according to the first category, the longitudinal axis value determined according to the second category, and determined according to the third category. The three-dimensional matrix is rendered by arranging a visual representation of each recommendation product in a cell whose horizontal axis value is the coordinate.

9 is a block diagram schematically illustrating a recommended product 3D display system according to an embodiment of the present invention.

Referring to FIG. 9, the recommendation product 3D display system 100 includes a map DB 101, a taste selection unit 102, a product recommendation unit 103, a data structurer 104, a matrix generator 105, The 3D display unit 106, the 2D display unit 107, the graphic overlay unit 108, the display 109, and the user interface 110 may be included.

The taste map and the product map are stored in the map DB 101. The taste selecting unit 101 presents an appropriate taste map to the customer through the display 109 and receives an input of the taste element selected by the customer through the user interface 111. The product recommendation unit 103 extracts products corresponding to taste factors determined by the taste selection unit 101 from the product map of the map DB 101 and determines the extracted products as recommended products.

The data structurer 104 determines the first category, the second category, and the third category based on the category of meta information describing the recommended products. The matrix generator 105 assigns the meta information of each recommended product to a cell in the 3D matrix having the azimuth, the vertical axis value, and the horizontal axis value as the coordinates based on the determined first, second, and third categories. Create

The matrix generator 105 transmits the three-dimensional matrix and the main word and visual display of recommended products allocated to each cell to the three-dimensional display unit 106 and the two-dimensional display unit 107, respectively.

The three-dimensional display unit 106 renders a three-dimensional matrix image in which visual display information of recommended products is placed in each cell of the three-dimensional matrix, and the two-dimensional display unit 107 displays meta information corresponding to the coordinates of the cell selected by the customer. Render the 2D auxiliary image based on the image.

The 3D matrix image of the 3D display unit 106 and the 2D auxiliary image of the 2D display unit 107 are synthesized by the graphic overlay unit 108 and displayed on the display 109.

10 is a system diagram illustrating a mobile recommendation product 3D display system according to an embodiment of the present invention.

Referring to FIG. 10, the mobile recommendation product 3D display system 200 includes a terminal 210, a product recommendation server 220, and a wired / wireless network 230.

Through the terminal 210 connected to the product recommendation server 220, a customer may search for a product and browse the recommended product in a 3D matrix.

The terminal 210 may include a 3D display unit 211, a 2D display unit 212, a graphic overlay unit 213, a display 214, a local recommendation product DB 215, and a user interface 216.

The terminal 210 first accesses the product recommendation server 220, downloads a taste map, displays the taste map to the customer through the display 214, and when the customer selects a taste element from the taste map through the user interface 216, the product is received. It transmits to the recommendation server 220. The 3D display unit 211 renders a 3D matrix image according to meta information and cell coordinates of recommended products received through the product recommendation server 220, and the 2D display unit 212 displays a 2D auxiliary display according to the meta information. Render The graphic overlay unit 213 synthesizes the 3D matrix image of the 3D display unit 211 and the 2D auxiliary display of the 2D display unit 212 and displays it on the display 214. In addition, the recommended products once retrieved may be stored and managed in the local recommendation product DB 215.

The product recommendation server 220 may provide a product recommendation service to a customer connected through the terminal 210. The product recommendation server 220 may include a map DB 221, a taste selector 222, a product recommender 223, a data structurer 224, and a matrix generator 225.

The map DB 221 provides a taste map and a product map, and the taste selecting unit 222 delivers the taste map to the terminal 210, and also stores the taste elements of the customer delivered from the terminal 210. To provide. The product recommendation unit 223 extracts products corresponding to the taste element of the customer from the product map and provides them to the data structurer 224.

The data structurer 724 structures the data of the recommended goods through the structured method according to the embodiment of the present invention and provides it to the matrix generator 225. The matrix generator 225 assigns each cell of the 3D matrix according to three categories to the recommended products.

The product recommendation server 220 transmits the meta information, the cell coordinates, and the content information of the structured recommendation products to the terminal 210 through the wired / wireless network 230. Meta information of the searched and structured recommendation products may be stored in the recommendation result DB 223 for later use.

As described above, although the present invention has been described by way of limited embodiments and drawings, the present invention is not limited to the above-described embodiments, which can be variously modified and modified by those skilled in the art to which the present invention pertains. Modifications are possible. Accordingly, the spirit of the invention should be understood only by the claims set forth below, and all equivalent or equivalent modifications will fall within the scope of the invention.

In addition, the apparatus according to the present invention can be embodied as computer readable codes on a computer readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. Examples of the recording medium include ROM, RAM, optical disk, magnetic tape, floppy disk, hard disk, nonvolatile memory, and the like, and also include a carrier wave (for example, transmission through the Internet). The computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.

Claims (12)

Providing, by the product recommendation server, taste maps two-dimensionally arranged by analyzing taste elements as two emotional attributes, and a product map two-dimensionally arranged goods corresponding to the topography of the taste map;
Determining, by the product recommendation server, products corresponding to at least one taste element selected by the customer from the taste map from the product map to be recommended products;
When a first to third category is determined among a plurality of categories of meta information describing the recommended products, the product recommendation server may include an azimuth component classified according to the meta information belonging to the first category for each recommended product. Determining three-dimensional coordinates having a vertical axis component aligned according to the meta information belonging to the second category and a horizontal axis component aligned according to the meta information belonging to the third category;
Rendering, by the terminal capable of communicating with the product recommendation server, a 3D matrix having visualization display information for visualizing the recommended product at the 3D coordinates; And
And displaying, by the terminal, the 3D matrix on a screen. The method of claim 1, wherein the taste element comprises at least one of a color, a color combination, a phrase, and an associative image. The method of claim 1, wherein the meta information includes at least one of a brand name, a brand, a price, a color, a material, a taste factor, a popularity, a rating, and a product characteristic. The method of claim 1, further comprising displaying the visualization display information and the meta information on an auxiliary display area when the customer selects a specific recommendation product from the 3D matrix. . delete A map database including a taste map arranged in two dimensions by analyzing taste elements in two emotional attributes, and a product map arranged in two dimensions in accordance with the terrain of the taste map;
A product recommendation unit configured to extract products corresponding to at least one taste element selected by the customer from the taste map from the product map and determine a recommended product; And
When a first to third category is determined among a plurality of categories of meta information describing the recommended products, the azimuth component classified according to the meta information belonging to the first category for each recommended product belongs to the second category. And a matrix generation unit for determining three-dimensional coordinates having vertical axis components aligned according to meta information and horizontal axis components aligned according to meta information belonging to the third category. The method of claim 6,
And a three-dimensional display unit configured to render a three-dimensional matrix in which visualization display information for visualizing the recommended product is disposed at the three-dimensional coordinates. The method of claim 7,
And a two-dimensional display unit configured to display the visualization display information and the meta information on an auxiliary display area when a customer selects a specific recommendation product from the three-dimensional matrix. Analyzes taste elements into two emotional attributes and maintains a taste map arranged two-dimensionally and a product map two-dimensionally arranged to correspond to the terrain of the taste map, and selected by the customer in the taste map. When products corresponding to at least one taste element are extracted from the product map to determine a recommendation product, and among the categories of a plurality of meta informations describing the recommended products, the first to third categories are determined, each recommendation A three-dimensional product having an azimuth component classified according to the meta information belonging to the first category for each product, a vertical axis component arranged according to the meta information belonging to the second category, and a horizontal axis component arranged according to the meta information belonging to the third category A product recommendation server for determining coordinates; And
And a terminal configured to render and display on the screen a 3D matrix in which visualization display information for visualizing the recommended product is arranged in the 3D coordinates. The method of claim 9, wherein the terminal
Displaying the taste map from the product recommendation server to the customer, and transmitting the taste element selected in the taste map to the product recommendation server. The recommendation of claim 9, wherein the terminal further includes a two-dimensional display unit configured to display the visualization display information and the meta information on an auxiliary display area when a customer selects a specific recommendation product from the three-dimensional matrix. Commodity three-dimensional display system. delete

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