KR102661633B1 - Method for recommending contents to user after classification and system for the same - Google Patents

Abstract

A method of classifying content and recommending content to a user by a content system according to the present invention includes a content receiving step of receiving content from a content DB; an element extraction step of analyzing the content and extracting at least one content element for each content; A classification standard selection step of selecting a content classification standard based on the content elements; a content classification step of classifying the content according to the content classification criteria; A user input receiving step of providing the selected content classification criteria to a user terminal and receiving user input through the user terminal; And identifying content corresponding to the user input and providing it to the user terminal. The step of selecting a classification criterion further includes classifying a content type of the content.

Description

{Method for recommending contents to user after classification and system for the same}

The present invention relates to a method and system for classifying content and recommending it to a user. More specifically, it relates to a method and system for setting a plurality of classification standards, classifying content based on them, and then recommending customized content to the user. will be.

Due to the development of media and communication technology, not only general information but also learning information is acquired through media, and learning through media has a great influence on even young children.

Therefore, children these days are learning through various contents provided by communication devices as soon as they are born, to the extent that there is even a term called digital native.

Content platforms that provide a variety of content are operated in a way that simply collects a lot of various contents and provides them to members, and in a recommendation method that selects and provides content suitable for each member's preferences.

Therefore, when using educational content for children's education, in the case of the first method, there is a lot of difficulty in selecting content appropriate for the educational target due to the amount of content that is too large, and it is randomly exposed to children who lack judgment. Anxiety arises due to the content being used.

In addition, when content is recommended using preferences, etc., content that suits the tastes of children who are eligible for education is recommended, so content that is not educational is often recommended.

Republic of Korea Patent No. 10-2060110 (Publication date: December 20, 2019, Title of invention: Method, device, and computer program for classifying objects included in content)

The problem to be solved by the present invention is to provide a method and system that can automatically classify content so that users can provide desired content.

Another problem that the present invention seeks to solve is to provide a method and system that can provide educational content to young children, who are primary learners.

A method of classifying content and recommending it to a user by the content system of the present invention to solve the above problem includes a content receiving step of receiving content from a content DB; an element extraction step of analyzing the content and extracting at least one content element for each content; A classification standard selection step of selecting a content classification standard based on the content elements; a content classification step of classifying the content according to the content classification criteria; A user input receiving step of providing the selected content classification criteria to a user terminal and receiving user input through the user terminal; And identifying content corresponding to the user input and providing it to the user terminal. The step of selecting a classification standard may further include classifying a content type of the content.

In one embodiment of the present invention, the element extraction step includes dividing the content into at least one section; And it may further include calculating the proportion of visual elements and linguistic elements among the elements included in the section.

In one embodiment of the present invention, the step of classifying the content type may further include determining the type of the section according to the proportion.

In one embodiment of the present invention, selecting the content classification standard may mean selecting the content classification standard by combining the divided content types and the content elements.

In one embodiment of the present invention, the classification standard selection step may select the content classification standard by comparing the content element with a preset standard content type.

In one embodiment of the present invention, the content classification step includes: generating content groups according to the content classification criteria; and including the content in at least one of the content groups, wherein any one of the content may be included in a plurality of groups among the content groups.

In one embodiment of the present invention, receiving the user input includes receiving a user input input by the user through the user terminal in response to at least one of the content classification criteria, the content element, and the content type. It could be.

In one embodiment of the present invention, the step of receiving user input may further include receiving feedback from the user regarding the provided content classification criteria.

In one embodiment of the present invention, the content classification step may further include reclassifying at least one of the classified contents using the feedback.

In addition, the content system of the present invention for solving the above problems provides a method of classifying content and recommending it to users, comprising: a content receiver that receives content from a content DB; an element extraction unit that analyzes the content and extracts at least one content element; a content classification standard selection unit that selects a content classification standard based on the content elements; a content classification unit that classifies the content according to the content classification criteria; a user input receiver providing the selected content classification criteria to a user terminal and receiving user input through the user terminal; and a content providing unit that provides content corresponding to the user input to the user terminal. The content classification standard selection unit may further include a type classification unit that classifies the content type of the content.

According to the method and system according to an embodiment of the present invention, only content that meets the user's needs is provided, preventing learners from being indiscriminately exposed to inappropriate content.

In addition, according to the method and system according to an embodiment of the present invention, content suitable for the current situation is provided to the user, so the user's education using the content can be efficiently performed.

1 is a configuration diagram of a content system that provides a method of classifying content and providing it to a user according to an embodiment of the present invention.
Figure 2 is a diagram of the connection of a content system, a user terminal, and a content DB according to an embodiment of the present invention.
Figure 3 is a flowchart of a method for classifying content and providing it to a user according to an embodiment of the present invention.
Figure 4 is a flowchart of a method for classifying content and providing it to a user according to an embodiment of the present invention.

Hereinafter, embodiments disclosed in the present specification will be described in detail with reference to the attached drawings. However, identical or similar components will be assigned the same reference numbers regardless of reference numerals, and duplicate descriptions thereof will be omitted. The suffixes “module” and “part” for components used in the following description are given or used interchangeably only for the ease of preparing the specification, and do not have distinct meanings or roles in themselves. Additionally, in describing the embodiments disclosed in this specification, if it is determined that detailed descriptions of related known technologies may obscure the gist of the embodiments disclosed in this specification, the detailed descriptions will be omitted. In addition, the attached drawings are only for easy understanding of the embodiments disclosed in this specification, and the technical idea disclosed in this specification is not limited by the attached drawings, and all changes included in the spirit and technical scope of the present invention are not limited. , should be understood to include equivalents or substitutes.

Terms containing ordinal numbers, such as first, second, etc., may be used to describe various components, but the components are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

When a component is said to be "connected" or "connected" to another component, it is understood that it may be directly connected to or connected to the other component, but that other components may exist in between. It should be. On the other hand, when it is mentioned that a component is “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between.

Singular expressions include plural expressions unless the context clearly dictates otherwise.

In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

In this specification, the network communication method is not limited, and connections between each component may not be connected through the same network method. The network may include not only a communication method using a communication network (for example, a mobile communication network, wired Internet, wireless Internet, broadcasting network, satellite network, etc.), but also short-range wireless communication between devices. For example, a network can include objects and any communication method through which they can network, and is not limited to wired communication, wireless communication, 3G, 4G, 5G, or other methods. For example, wired and/or networks include Local Area Network (LAN), Metropolitan Area Network (MAN), Global System for Mobile Network (GSM), Enhanced Data GSM Environment (EDGE), High Speed Downlink Packet Access (HSDPA), W-CDMA (Wideband Code Division Multiple Access), CDMA (Code Division Multiple Access), TDMA (Time Division Multiple Access), Bluetooth, Zigbee, Wi-Fi, VoIP (Voice over Internet Protocol), LTE Advanced, IEEE802.16m, WirelessMAN-Advanced, HSPA+, 3GPP Long Term Evolution (LTE), Mobile WiMAX (IEEE 802.16e), UMB (formerly EV-DO Rev. C), Flash-OFDM, iBurst and It may refer to a communication network using one or more communication methods selected from the group consisting of MBWA (IEEE 802.20) systems, HIPERMAN, Beam-Division Multiple Access (BDMA), Wi-MAX (World Interoperability for Microwave Access), and ultrasonic communication. However, it is not limited to this.

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Hereinafter, with reference to the attached FIGS. 1 to 4, a method and system for classifying content and recommending it to a user according to an embodiment of the present invention will be described.

The present invention relates to a method and system for classifying content and recommending it to users.

The method of classifying content and recommending it to users according to the present invention is performed by a content recommendation system.

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Content described in this specification may include music, videos, etc., but is not limited thereto, and may be any content provided to users through a server. However, hereinafter, for convenience of explanation, the description will be made assuming that the content is a video.

Additionally, the explanation will be made assuming that the user is connected to the system 100 through the user terminal 220.

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1 is a configuration diagram of a content system that provides a method of classifying content and providing it to a user according to an embodiment of the present invention.

Referring to FIG. 1, the content system (hereinafter referred to as system 100) includes a content reception unit 110, an element extraction unit 120, a content classification standard selection unit 130, a content classification unit 140, and a user input reception unit ( 150) and a content provider 160.

Hereinafter, the functions of each part included in the system 100 will be described.

The communication unit included in system 100 can communicate over a network. The communication unit may be connected to a user terminal or content DB through a network. The content receiving unit 110 may receive a plurality of contents from the content DB through the communication unit. The element extractor 120 may analyze content and extract at least one content element. The content classification standard selection unit 130 may select a content classification standard based on content elements. The content classification unit 140 may classify content according to content classification criteria. The user input receiver 150 may provide the selected content classification criteria to the user terminal and receive user input through the user terminal. The content provider 160 may provide content corresponding to user input to the user terminal.

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More specific functions of each part will be described in detail below, explaining the method and system for classifying content and providing it to users.

User terminals described in this specification include mobile phones, smart phones, laptop computers, digital broadcasting terminals, personal digital assistants (PDAs), portable multimedia players (PMPs), navigation, and slate PCs. , tablet PC, ultrabook, wearable device (e.g., watch type terminal (smartwatch), glass type terminal (smart glass), HMD (head mounted display), etc. may be included. .

The user terminal may include a communication module, and may comply with technical standards or communication methods for mobile communication (e.g., Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), and Code Division Multi Access 2000 (CDMA2000). ), EV-DO (Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), WCDMA (Wideband CDMA), HSDPA (High Speed Downlink Packet Access), HSUPA (High Speed Uplink Packet Access), LTE (Long Term Evolution), Wireless signals are transmitted and received with at least one of a base station, an external terminal, and a server on a mobile communication network built according to LTE-A (Long Term Evolution-Advanced), etc.).

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Figure 2 is a diagram of the connection of a content system, a user terminal, and a content DB according to an embodiment of the present invention.

Referring to FIG. 2 , the system 100, the user terminal 220, and the content DB 200 may be connected to each other through a network 210.

The user terminal 220 is connected to the network 210 through the above-described communication module and can transmit and receive data with the system 100 and the content DB 200. Figure 2 is an example for explaining the invention, and the number of connected devices or servers is not limited as in Figure 2.

Each server may be implemented as a computer device or a plurality of computer devices that communicate with the user terminal 220 or the system 100 and the network 2 to provide commands, codes, files, content, services, etc. For example, the server may be a system that provides each service to the user terminal 220 or the system 100 connected through the network 210. As a more specific example, the server provides the service targeted by the application (for example, providing content information, etc.) through an application as a computer program installed and running on the user terminal 220 or the system 100. It can be provided as system 100. As another example, the server may distribute files for installing and running the above-described application to the user terminal 220 or system 100, receive user input information, and provide a corresponding service.

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Figure 3 is a flowchart of a method for classifying content and providing it to a user according to an embodiment of the present invention.

Referring to Figure 3, the method of classifying content and then providing it to the user includes a content receiving step (S310), a content element extraction step (S320), a classification standard selection step (S330), a content classification step (S340), and a classification standard providing step. It may include (S350), a user input reception step (S360), a content identification step (S370), and a content provision step (S380).

Each of the steps described above can be performed regardless of the listed order, except in cases where they must be performed in the listed order due to a special causal relationship. However, hereinafter, for convenience of explanation, the description will be made assuming that each of the above-described steps is performed in the listed order.

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Hereinafter, each step will be described in detail.

The content receiving step (S310) is a step in which the system 100 receives content included in the content DB 200. The content DB 200 may be a self-built DB or a commercial DB such as YouTube. The system 100 can receive multiple contents to classify the contents from all accessible DBs. Alternatively, the content DB 200 may be included in the system 100.

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The content element extraction step (S320) is a step in which the system 100 analyzes the content and extracts at least one content element for each content. Here, when the system 100 analyzes content, it may mean identifying what is included in the content. Specifically, if the content is a video, the video, subtitles, and sounds included in the content may be identified. More specifically, it is possible to identify characters, people, objects, etc. that appear in the video included in the content, or it is possible to identify whether the video in the content is an actual screen or an animation created through a computer, etc. A content element can refer to anything identified in the above-described process. In one embodiment, images, subtitles, sounds, etc. included in the content may be elements of the content, and further, characters, people, objects, etc. that appear in the images included in the content may be elements of the content.

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The classification standard selection step (S330) is a step in which the system 100 selects a content classification standard based on content elements. Here, the content classification standard may be any standard that can distinguish and define a plurality of contents. For example, the content classification criterion may be the subject of the content. Specifically, the system 100 may determine the content topic and determine classification criteria such as music topic content, education topic content, health topic content, etc. In another embodiment, the system 100 may classify images according to content difficulty. Specifically, the content classification criteria can be determined by dividing the level of difficulty into high, medium, and low. In another embodiment, the classification standard selection step (S330) may further include a step of distinguishing content types. System 100 may classify content according to content type. Specifically, content can be divided into types such as videos that need to be repeated, videos that need to be watched in series, and videos that need to be watched in order. This content type itself can be a content classification standard. At this time, selecting the content classification standard may mean selecting the content classification standard by combining the content type and content elements. Specifically, as in the above-described embodiment, if a video requiring series viewing, which is an embodiment of the content type, and a specific character, which is one of the content elements, are combined, a content classification standard of videos requiring series viewing in which a specific character continues to appear can be selected. You can. Content classification standards can be created and selected by the system 100 based on content elements, content types, etc., as in the above-described steps, but can also be selected by comparing preset standard content types and content elements. Specifically, the system 100 may select a content classification standard by receiving standard content type information preset in the content DB 200 and comparing content elements.

The above-mentioned examples are examples of methods for selecting content classification criteria, and content classification described in this specification is not limited to this and can be performed by various methods.

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The content classification step (S340) is a step in which the system 100 classifies content according to content classification standards. The content classification step (S340) may further include creating content groups according to content classification criteria and including content in at least one of the content groups. Specifically, content may be included in at least one content group according to content classification criteria, but the present invention is not limited to this and one content may be included in a plurality of content groups.

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The classification standard providing step (S350) and the user input receiving step (S360) are steps for providing the selected content classification standard to the user terminal. The system 100 can provide content classification criteria, content elements, and content types to the user terminal, and the user can perform user input through the user terminal. Specifically, a plurality of content classification standards may be displayed on the display of the user terminal, and the user may touch the display to select a desired content classification standard. Alternatively, when content elements are provided through the user terminal, the user can select the desired content element. Specifically, the user can select a specific character, which is one of the content elements, or select one of the content classification criteria.

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The content identification step (S370) and the content provision step (S380) are steps in which the system 100 identifies content corresponding to the user input and provides it to the user terminal. Specifically, as in the above-described embodiment, when the user selects one of the content classification criteria, the system 100 may identify content corresponding to the selected content classification criteria and provide it to the user terminal.

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Figure 4 is a flowchart of a method for classifying content and providing it to a user according to an embodiment of the present invention.

Referring to FIG. 4, the method divides the content into one section (S410), calculates the elements and proportions included in the section (S420), and classifies the content type (S430).

Specifically, the element extraction step (S320) may include dividing the content into at least one section. Through the above-described process, any one of the plurality of contents classified according to the content classification standard may be divided into at least one section again. Specifically, the system 100 may divide content into at least one section by analyzing elements included in the section. The classification process can be done automatically by a program included in the system 100, or the system administrator can do the classification manually. In one embodiment, sections may be divided according to the content of the content. In a specific embodiment, when the content classification standard is educational topic content, the educational topic content may be divided into a section that explains the educational content and a section that confirms the educational content. For example, the system 100 may determine the section in which a person explains the educational content to the learner as the first section of the content, and the section in which the learner checks the educational content, such as a quiz, as the second section. In addition, the section in which a person explains the educational content to the learner again after the second section may be determined as the third section of the content. In another embodiment, the content may be divided into sections according to the subject. Specifically, the content can be divided into sections where people appear and sections where animals appear in the content. The above-mentioned examples are examples of content classification methods, and content classification described in this specification is not limited to this and can be performed by various methods.

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The system 100 can calculate the proportion of visual elements and linguistic elements among elements included in sections of content divided by the above-described method. Additionally, the system 100 can determine the type of section according to the calculated gravity. In one embodiment, when the system 100 determines the section in which a person explains educational content to a learner as the first section of the content, the proportion of visual elements and verbal elements is calculated by analyzing the elements included in the first section. can do. Specifically, if the explanation content included in the first section consists mostly of text, the proportion of verbal elements may be higher than visual elements. At this time, the system 100 may determine the content type of the first section to be a linguistic type. Conversely, if the explanation content included in the first section consists mostly of images, the proportion of visual elements may be higher than verbal elements. At this time, the system 100 may determine the content type of the first section as a visual type. The types of content sections classified by the content recommendation system 100 may be divided into various types in addition to visual types and verbal types.

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The technical features disclosed in each embodiment of the present invention are not limited to the corresponding embodiment, and unless they are incompatible with each other, the technical features disclosed in each embodiment may be combined and applied to other embodiments.

Above, embodiments of the method and system for classifying and recommending content to users according to the present invention have been described. The present invention is not limited to the above-described embodiments and the accompanying drawings, and various modifications and variations will be possible from the perspective of those skilled in the art to which the present invention pertains. Therefore, the scope of the present invention should be determined not only by the claims of this specification but also by equivalents to these claims.

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100: Content System
110: Content receiving unit
120: element extraction unit
130: Content classification standard selection unit
140: Content classification unit
150: User input receiver
160: Content provision department

Claims (10)

As a method for the content system to classify content and recommend it to the user,
A content receiving step of receiving content from a content DB;
Analyzing the received content to extract one or more content elements included in the content - where the content element is one or more of images, subtitles, sounds, characters, people, and objects that appear;
Based on the extracted content elements, selecting a classification standard for the content as a topic of the content, determining the topic of the content, and determining the classification standard as educational topic content;
Classifying the received content according to the classification criteria and determining whether the received content is educational topic content;
If the classified content is educational subject content, dividing it into a first section, a second section, and a third section according to the contents of the content - where the first section is a section explaining the educational content to the learner, and the second section is The section is a section where the educational content is confirmed to the learner, and the third section is a section where the educational content is explained again to the learner after the second section -;
calculating the proportion of visual elements and verbal elements by analyzing elements included in each of the divided first section, second section, and third section of the educational subject content;
determining a content type according to the calculated proportion of the visual element and the linguistic element, and determining whether the first section, the second section, and the third section are each a visual type or a verbal type;
A user input receiving step of providing the classification criteria, analyzed elements, and the determined content type to a user terminal, and receiving user input input through the user terminal; and
Identifying content corresponding to the user input and providing it to the user terminal
A method of classifying and recommending content containing content to users. delete delete delete delete According to claim 1,
The content is included in at least one of the content groups created according to classification criteria,
Any one of the contents is included in a plurality of groups among the content groups.
A method of classifying content and recommending it to users. According to claim 1,
Receiving the user input is,
Receiving user input input by the user through the user terminal in response to at least one of the classification criteria, the element, and the content type
A method of classifying content and recommending it to users. According to clause 7,
The user input receiving step is,
further receiving feedback from the user regarding the classification criteria.
A method of classifying content and recommending it to users. According to clause 8,
At least one of the contents classified according to the classification criteria is reclassified using the user's feedback.
A method of classifying content and recommending it to users. delete