WO2021112465A1 - Procédé de recommandation de conception par analyse de travaux en nuage - Google Patents

Procédé de recommandation de conception par analyse de travaux en nuage Download PDF

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Publication number
WO2021112465A1
WO2021112465A1 PCT/KR2020/016616 KR2020016616W WO2021112465A1 WO 2021112465 A1 WO2021112465 A1 WO 2021112465A1 KR 2020016616 W KR2020016616 W KR 2020016616W WO 2021112465 A1 WO2021112465 A1 WO 2021112465A1
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design
recommendation
work
type
design type
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PCT/KR2020/016616
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English (en)
Korean (ko)
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안태환
안성환
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주식회사 큐리어드
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services

Definitions

  • the present invention analyzes the works of other users uploaded to the cloud and recommends various designs such as resolution, layout information, font information, shape information, image information, color information, chart information, and graph information. it's about
  • document/design authoring tools provide image libraries or templates (layouts) with pre-configured layouts. Users create documents/designs by referencing images and other design elements from the provided library or directly applying them.
  • design elements found through this search process may have complex copyright issues and may not fit the latest trends.
  • the technical task of the present invention is to recommend design elements/layouts derived from documents/designs of other users registered under the cloud environment when a user wants to design documents, contents, etc. It is to provide a means by which
  • An embodiment of the present invention includes a work monitoring process in which a design recommendation server tracks and monitors in real time an act of making a work performed in a user terminal connected to a cloud network; a design type recommendation list providing process in which the design recommendation server sequentially provides a design type recommendation list for each design item according to the design type recommendation ranking according to the authoring activity of a user who has accessed the design recommendation server; a work production process in which the user terminal selects a design type from a user from a design type recommendation list sequentially provided for each design item and produces a work; a work registration process in which the design recommendation server registers and stores the work through the cloud network when the work production action performed in the user terminal is terminated; and a registered work analysis process in which the design recommendation server generates a design type recommendation list for each design item by monitoring and analyzing the work to be finally registered due to the end of the work production act.
  • the registered work analysis process may include: a design extraction process in which the design recommendation server analyzes a work updated and registered through the cloud and extracts a design included in the work; a design type determination process in which the design recommendation server classifies the extracted designs by design items to determine a design type; a recommendation ranking determining process in which the design recommendation server evaluates each design type according to a preset evaluation index, and determines a design type recommendation ranking for each design item; and a design type recommendation list generation process in which the design recommendation server generates a design type recommendation list for each design item based on the design type recommendation ranking.
  • the design item includes at least one of a type, basic setting information, layout information, color information, image information, figure attribute information, and text attribute information
  • the design type determining process includes the extracted design type, basic setting information, It is possible to determine which design item belongs to among the design items including layout information, color information, image information, figure property information, and text property information, and determine a design type within the identified design item.
  • Determining the design type may determine the design type of the design extracted by tying the design according to the design similarity within the design item through artificial intelligence (AI) analysis.
  • AI artificial intelligence
  • the recommendation ranking process may calculate a quantitative evaluation score according to the satisfaction of a predetermined quantitative evaluation index for each design type, and select a recommendation ranking of the design type according to the quantitative evaluation score.
  • the recommendation ranking process may calculate a user evaluation score according to the satisfaction of a preset user evaluation index for each design type, and select a recommendation ranking of the design type according to the user evaluation score.
  • the recommendation ranking process may include calculating a quantitative evaluation score according to the satisfaction of a predetermined quantitative evaluation index for each design type; calculating a user evaluation score according to the satisfaction of a preset user evaluation index for each design type; For each design type, the recommendation ranking of the design type may be selected by adding up the quantitative evaluation score and the user evaluation score.
  • the recommendation ranking process may include calculating a quantitative evaluation score according to the satisfaction of a predetermined quantitative evaluation index for each design type; calculating a user evaluation score according to the satisfaction of a preset user evaluation index for each design type; By applying different weights for each design type to the quantitative evaluation score and the user evaluation score, respectively, the weighted quantitative evaluation score and the user evaluation score may be added to select a recommendation ranking of the design type.
  • the sequentially providing for each design item in the design type recommendation list providing process may include: a design type recommendation process of providing a design type recommendation list in any one design item; a design type selection process in which a user selects any one design type from the design type recommendation list; a subsequent design type recommendation process of providing a design type recommendation list in a subsequent design item matching the design type selected by the user; a subsequent design type selection process in which a user selects any one design type from the design type recommendation list in the subsequent design item; and a process in which the subsequent design type recommendation process and the subsequent design type selection process are repeatedly performed until there is no subsequent design item to be recommended or there is a user's request for termination.
  • a list of design items is arranged on the screen, and when any one design item is selected by the user, a design type recommendation list matching the selected design item can be displayed on the screen. have.
  • design item list By disposing the design item list on the screen, only design items that meet a preset design item display condition may be included in the design item list.
  • the design item display condition may be characterized in that the design item selection ratio of users exceeds a preset selection threshold.
  • FIG. 1 is a block diagram illustrating a design recommendation system through cloud work analysis according to an embodiment of the present invention.
  • FIG. 2 is a functional block diagram of a design recommendation system through cloud work analysis according to an embodiment of the present invention.
  • FIG. 3 is a flowchart illustrating a design recommendation method through cloud work analysis according to an embodiment of the present invention.
  • FIG. 4 is an exemplary diagram illustrating a state in which selections are made sequentially from a design type recommendation list according to an embodiment of the present invention.
  • FIG. 5 is an exemplary diagram in which a layout suitable for a resolution selected by a user is recommended according to an embodiment of the present invention
  • FIG. 6 is an exemplary diagram in which a list of design items is displayed on a screen according to an embodiment of the present invention.
  • FIG. 7 is an exemplary diagram of design items that may belong to a work according to an embodiment of the present invention.
  • FIG. 8 is an exemplary diagram in which design typeization and recommendation ranking selection are made according to an embodiment of the present invention.
  • FIG. 9 is an exemplary diagram of a quantitative evaluation index according to an embodiment of the present invention.
  • FIG. 10 is an exemplary diagram of a user evaluation index according to an embodiment of the present invention.
  • FIG. 1 is a block diagram illustrating a design recommendation system through cloud work analysis according to an embodiment of the present invention
  • FIG. 2 is a functional block diagram of a design recommendation system through cloud work analysis according to an embodiment of the present invention.
  • design refers to components when creating works such as PPT files, word files, document files, and contents, and includes resolution, layout information, font information, shape information, image information, and color in the work. It is used as a concept that includes all elements of various works such as information, chart information, and graph information.
  • the present invention monitors the act of making a work in a cloud environment in real time and recommends and provides a design matching it.
  • documents prepared by various users are analyzed to classify design types, and the frequency of use is measured by establishing specific standards for various design elements included in documents.
  • considerations may include the resolution (size) of the document, the number of types of design elements (text, images, figures, diagrams, images, music) included in the document, and coordinate values placed on each page of the document. .
  • the user tracks the creation activity of users who create works such as content and documents in real time.
  • the user can input document settings such as specifying resolution, place design elements on the page and input values, and can also change actions that change design element properties (color, shape, border, size, etc.) All these series of design activities will be tracked in the cloud.
  • the design recommendation system through cloud work analysis of the present invention may include a wired/wireless communication network 100 , a user terminal 200 , and a design recommendation server as shown in FIG. 1 .
  • the wired/wireless communication network 100 is a communication network that provides wired communication or wireless communication between the user terminal 200 and the design recommendation server.
  • a wireless mobile communication network consisting of a base transceiver station (BTS), a mobile switching center (MSC), and a home location register (HLR) is provided.
  • BTS base transceiver station
  • MSC mobile switching center
  • HLR home location register
  • the wired/wireless communication network 100 when the wired/wireless communication network 100 is implemented as a wired communication network, it may be implemented as a network communication network, and data communication may be performed according to an Internet protocol such as TCP/IP (Transmission Control Protocol/Internet Protocol).
  • TCP/IP Transmission Control Protocol/Internet Protocol
  • the user terminal 200 is a terminal used by a user who produces works such as documents and contents, and in the drawings, a desktop PC (desktop PC) is described as an example, but not only a desktop PC but also a smart phone, A tablet PC (tablet PC), a slate PC (slate PC), a notebook computer (notebook computer) and the like may be applicable.
  • a desktop PC desktop PC
  • a tablet PC tablet PC
  • a slate PC slate PC
  • notebook computer notebook computer
  • the terminal to which the present invention is applicable is not limited to the above-described types, and it is natural that all terminals capable of communicating with an external device may be included.
  • the user terminal 200 performs an act of making a work through a web (WEB) in a cloud network. Accordingly, the user terminal 200 selects a design type from the user from the design type recommendation list sequentially provided for each design item from the design recommendation server to produce the work.
  • WEB web
  • the conventional web has been focused on providing a web page or website that shows specific information composed of text, picture, sound, or video to the user, but the recent web is gradually changing into an application form. . That is, the recent web is provided in the form of a computer application rather than a simple web page (or web site), so that the user terminal 200 can create a work on the web (WEB).
  • the design recommendation server monitors in real time an act of making a work performed in the user terminal 200 connected through the web on the cloud network, and recommends and provides a design matching the same.
  • the design recommendation server has the same configuration as a general web server in terms of hardware to implement the above-described operation, and in terms of software, through various languages such as C, C++, Java, Visual Basic, Visual C, etc. It contains program modules that are implemented and perform various functions. In addition, it can be implemented using web server programs that are provided in various ways according to operating systems such as DOS, Windows, Linux, Unix, and Macintosh on general server hardware. have.
  • the dictionary definition of cloud is 'a service that stores data in a central computer connected to the Internet and can use data anytime and anywhere as long as it connects to the Internet'.
  • the work result is updated in real time to the design recommendation server of the present invention through the cloud.
  • the design recommendation server tracks and monitors in real time the act of making a work performed in the user terminal 200 connected to the cloud network, and the design type according to the authoring activity of the user connected to the design recommendation server A design type recommendation list according to the recommendation ranking is provided sequentially for each design item.
  • the design included in the work is extracted by analyzing the work to be updated and registered, and then the extracted design is classified by design item to determine the design type. Then, each determined design type is evaluated according to a preset evaluation index, a design type recommendation ranking is determined for each design item, and a design type recommendation list is generated for each design item based on the design type recommendation ranking.
  • a design type recommendation list is generated for each design item based on the design type recommendation ranking.
  • FIG. 3 is a flowchart illustrating a design recommendation method through cloud work analysis according to an embodiment of the present invention
  • FIG. 4 is an exemplary diagram illustrating a state in which a selection is made sequentially from a design type recommendation list according to an embodiment of the present invention
  • 5 is an exemplary diagram in which a layout suitable for a resolution selected by a user is recommended according to an embodiment of the present invention
  • FIG. 6 is an exemplary illustration in which a list of design items is displayed on the screen according to an embodiment of the present invention
  • FIG. 7 is an exemplary illustration of design items that may belong to a work according to an embodiment of the present invention
  • FIG. 8 is an exemplary illustration in which design typification and recommendation ranking selection are made according to an embodiment of the present invention
  • FIG. 9 is an embodiment of the present invention
  • FIG. 10 is an exemplary diagram of a user evaluation index according to an embodiment of the present invention.
  • the design recommendation method through cloud work analysis of the present invention includes a work monitoring process (S310), a design type recommendation list providing process (S320), a work production process (S330), and a work registration process (S340) , it may include a registered work analysis process (S350).
  • the work monitoring process ( S310 ) is a process in which the design recommendation server tracks and monitors in real time an act of making a work performed in the user terminal 200 connected to the cloud network.
  • a user who creates a work such as content or document may input a setting value of the work, such as specifying the resolution of the work, or place a design element on a page and input a value.
  • behaviors that change the properties (color, shape, border, size, etc.) of design elements are changed, and all of these actions are monitored and tracked in the cloud in real time.
  • the design type recommendation list providing process ( S320 ) is a process in which the design recommendation server sequentially provides a design type recommendation list according to the design type recommendation ranking for each design item in accordance with the authoring activity of the user accessing the design recommendation server.
  • sequentially providing for each design item in the design type recommendation list providing process ( S320 ) includes a design type recommendation process ( S321 ) of providing a design type recommendation list in any one design item, and a design type recommendation list from a user in the design type recommendation list.
  • a design type selection process (S322) in which any one design type is selected, a subsequent design type recommendation process (S323) of providing a design type recommendation list in a subsequent design item matching the design type selected by the user (S323), and a subsequent design item
  • Subsequent design type selection process (S324) in which a user selects any one design type from the design type recommendation list in , and subsequent design items to be recommended by the subsequent design type recommendation process (S323) and the subsequent design type selection process (S324)
  • a layout recommendation list arranged in the order of the most used layouts on the selected resolution is displayed.
  • FIG. 5 when the user selects a resolution or designates a number, a right window appears and a layout suitable for the resolution selected by the user is recommended.
  • the recommended layout is not a fixed result value, but the documents typed in square resolution in the user gallery are exposed in the order of the highest value by the evaluation index. Since there is a weight for the period in the evaluation index, a layout suitable for the recently produced trend is recommended first.
  • a color recommendation list arranged in the order of the most used colors in the selected layout is displayed.
  • a font recommendation list arranged in the order of the most used fonts in the selected color is displayed.
  • the user selects a favorite typeface from the typeface recommendation list, and similarly, various design selections are repeated. In this way, it is possible to sequentially select design items such as resolution, layout, color, font, and the like.
  • a list of design items is arranged on the screen, and any one design item is selected by the user. It may be implemented to display a design type recommendation list matching the selected design item on the screen. For example, when the user selects a figure in the left object panel, a rectangular figure is placed on the screen. Judging this behavior as “the intention to create a button,” the button style is recommended in the right panel.
  • the button style can also be displayed by first exposing the results that fit the latest trend by extracting typified design elements from the user gallery.
  • the design item display condition may be a condition in which a design item selection ratio of users exceeds a preset selection threshold. For example, only design items previously selected by 85% or more of users are provided with a design type recommendation list, and design items selected by less than 85% of existing users are not provided with a design type recommendation list.
  • the work production process ( S330 ) is a process in which the user terminal 200 selects one design type from the user from the design type recommendation list sequentially provided for each design item, and produces the work. For example, if the user selects a specific resolution, a list of popular templates (layouts) in the selected resolution is displayed, and if any one template (layout) is selected by the user, the selected template (layout) is provided and the user You can create a work by inputting the text or picture you need in the template (layout).
  • the design recommendation server registers and stores the work through the cloud network when the work production action performed in the user terminal 200 is ended.
  • the act of making a work and the result of the work that the user works on the user terminal 200 are updated in real time to the design recommendation server of the present invention through the cloud network.
  • the registered work analysis process ( S350 ) generates a design type recommendation list for each design item by monitoring and analyzing the work that is finally registered due to the design recommendation server and the end of the work production action. For example, it is to generate a design type recommendation list for each design item sorted in the order of the most used design types by analyzing the design trends that people currently use the most with respect to the works of people updated through the cloud. .
  • the registered work analysis process ( S350 ) may include a design extraction process ( S351 ), a design type determination process, a recommendation ranking process ( S353 ), and a design type recommendation list generation process ( S354 ).
  • the design extraction process ( S351 ) is a process in which the design recommendation server analyzes the work to be updated and registered through the cloud and extracts the design included in the work.
  • the work registered in the cloud includes the elements shown in Figure 7, and through this, similarity and frequency of use can be measured. If the work is made of HTML, it may be possible to distinguish more clearly due to the characteristics of the programming language.
  • the design items may correspond to type, basic setting information, layout information, color information, image information, figure property information, text property information, and the like, as shown in FIG. 7 .
  • the design type determination process is a process in which the design recommendation server classifies the extracted design by design item to determine the design type. That is, the design type determination process ( S352 ) identifies which design item the extracted design belongs to among design items including type, basic setting information, layout information, color information, image information, shape property information, and text property information, In other words, it is the process of determining the design type within the identified design items. That is, as shown in FIG. 8, each design item is categorized based on the registered work. Although it is simply classified into three in FIG. 8 , they may be classified according to each item of the evaluation index to be described later. Each typed list can be distinguished, for example, in a design in which red is used a lot, in a layout in which the title text is largely centered.
  • Determining such a design type enables implementation to determine the design type of the extracted design by tying the design according to the design similarity within the design item through artificial intelligence (AI) analysis.
  • AI artificial intelligence
  • a typographical model can be established for the classification of works, and the typographical model can also be directly learned through artificial intelligence (AI) analysis technology through the items of the analysis index;
  • AI artificial intelligence
  • AI artificial intelligence
  • the developer may make a hypothesis and input it during the system development stage.
  • AI artificial intelligence
  • the amount of data is sufficient, artificial intelligence (AI) can create a model by itself, but the amount of data may be insufficient and users' behavior can be sufficiently guessed, so it is expected to be tangible. It is to pre-enter values (layout, color, resolution, etc.) and to type data with similar values.
  • a layout that means a certain arrangement or arrangement of design elements, it has a certain pattern as shown in the figure on the right.
  • the nature of the text is constant with the title, subheading, and main body, and it is arranged horizontally and vertically in two or three columns, including images.
  • the pages of each document can be typed as shown in the figure on the right, and can be typed by analyzing the similarity of the layout.
  • resolution it can be divided into a long horizontal shape, a long vertical shape, and a square shape, and the possible layouts will vary depending on these resolution settings.
  • color plays an important role. There is a tendency to use a certain color in the design of the work, and there are better color matching factors.
  • the color can be used not only for the background color of the page, but also for text, shapes, SVG icons, etc. Although color exists in images and videos, it is difficult to trace in HTML, which can be supplemented through image recognition technology.
  • the recommendation ranking determining process ( S353 ) is a process in which the design recommendation server evaluates each design type according to a preset evaluation index, and determines the design type recommendation ranking for each design item.
  • a design type recommendation list generation process ( S354 ) is performed.
  • the design recommendation server selects the design type recommendation list based on the design type recommendation ranking. It is the process of creating by design item.
  • the recommendation ranking can be determined in four ways: quantitative evaluation, user evaluation, quantitative + user evaluation, and weight evaluation as follows.
  • the first method, quantitative evaluation is a method of calculating a quantitative evaluation score according to the satisfaction of a preset quantitative evaluation index for each design type, and selecting a recommendation ranking of the design type according to the quantitative evaluation score. That is, it is evaluated by giving a score based on the quantitative evaluation index shown in FIG. 9, where the quantitative evaluation index is the project title, project description, tags, copyright, disclosure scope, number of pages, number of images, project XML capacity, etc. This may apply.
  • the second method, user evaluation is a method of calculating a user evaluation score according to the satisfaction of a preset user evaluation index for each design type, and selecting a recommendation ranking of the design type according to the user evaluation score. That is, the evaluation is performed by giving a score based on the user evaluation index shown in FIG. 10, where the user evaluation index may correspond to the number of views, the number of interests, the number of shares, the number of reuses, the staff's pick, the weekly best, and the like.
  • the third method quantitative + user evaluation, calculates a quantitative evaluation score according to the satisfaction of a preset quantitative evaluation index for each design type, and, in addition, a user evaluation score according to the satisfaction of a preset user evaluation index for each design type to calculate And, for each design type, the quantitative evaluation score and the user evaluation score are summed to select the design type recommendation ranking. Rather than using any one evaluation score, the recommendation ranking is selected as the sum total of the quantitative evaluation score and the user evaluation score.
  • the fourth method calculates a quantitative evaluation score according to the satisfaction of a preset quantitative evaluation index for each design type, and calculates a user evaluation score according to the satisfaction of a preset user evaluation index for each design type do.
  • weights set differently for each design type are applied to the quantitative evaluation score and the user evaluation score, respectively, and the weighted quantitative evaluation score and the user evaluation score are summed to select a recommendation ranking for the design type. For this reason, it is necessary to increase the quantitative evaluation rate or increase the user evaluation rate depending on the design type. Taking this into consideration, different weights are applied to the quantitative evaluation score and the user evaluation score for each design type, and the quantitative evaluation score to which these weights are applied It is evaluated by summing the user evaluation score and the user evaluation score.
  • Wired and wireless communication network (cloud network)

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Abstract

Un mode de réalisation de la présente invention peut comprendre : une étape de surveillance de travail dans laquelle un serveur de recommandation de conception suit et surveille une action de production de travail, en temps réel, effectuée dans un terminal utilisateur connecté à un réseau en nuage ; une étape de fourniture de liste de recommandations de type de conception dans laquelle le serveur de recommandation de conception fournit séquentiellement une liste de recommandations de type de conception selon un classement de recommandations de type de conception pour chaque élément de conception sur la base de l'activité de travail d'un utilisateur se connectant au serveur de recommandation de conception ; une étape de production de travail dans laquelle le terminal utilisateur produit un travail en sélectionnant un type de conception quelconque dans la liste de recommandations de type de conception fournie séquentiellement pour chaque élément de conception par l'utilisateur ; une étape d'enregistrement de travail dans laquelle le serveur de recommandation de conception enregistre et stocke le travail via le réseau en nuage lorsque l'action de production de travail effectuée dans le terminal utilisateur est terminée ; et une étape d'analyse de travail enregistrée dans laquelle le serveur de recommandation de conception génère la liste de recommandations de type de conception pour chaque élément de conception en surveillant et en analysant le travail finalement enregistré en raison de la fin de l'action de production de travail.
PCT/KR2020/016616 2019-12-04 2020-11-23 Procédé de recommandation de conception par analyse de travaux en nuage WO2021112465A1 (fr)

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KR102111720B1 (ko) * 2019-12-04 2020-05-15 주식회사 그로비스인포텍 클라우드 저작물 분석을 통한 디자인 추천 방법
KR102512633B1 (ko) * 2020-12-15 2023-03-21 박지우 클라우드 기반 문서 템플릿 서비스 제공 시스템
KR102336136B1 (ko) * 2021-06-10 2021-12-08 주식회사 타라 티.피.에스 웹 기반 편집툴을 이용한 디자인 콘텐츠 중개 서비스 제공 시스템
KR20230146345A (ko) * 2022-04-12 2023-10-19 주식회사 샵팬픽 출시 예정 제품의 디자인 추천 및 최종 시안 제공 시스템
KR102534271B1 (ko) * 2022-06-14 2023-06-01 김현수 사용자를 위한 디지털 문구 콘텐츠 제공 방법

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