KR20210125781A - Method, system, and non-transitory computer readable record medium for personalization recommendation of image based content - Google Patents

Abstract

A method for recommending a content comprises: a step of exposing a first recommendation component comprising at least one first recommendation content selected based on a content consumption log of an electronic device on a home screen in accordance with a home screen entry request received from the electronic device; and a step of exposing at least one content recommendation area among a second recommendation component comprising at least one second recommendation content selected based on the specific content and a third recommendation component comprising at least one third recommended content selected based on an author of the specific content on a viewer screen of the specific content in accordance with a viewer screen entry request of the specific content received from the electronic device. Therefore, the present invention is capable of providing a personalized recommendation reflecting a taste of a user.

Description

METHOD, SYSTEM, AND NON-TRANSITORY COMPUTER READABLE RECORD MEDIUM FOR PERSONALIZATION RECOMMENDATION OF IMAGE BASED CONTENT

The description below relates to a technology for recommending content.

Recently, due to the development of digital technology, the use of personal terminals has become common, and various services using the personal terminals are provided.

Examples of personal terminals include a smart phone, a tablet, a wearable device, a notebook, and the like, and these terminals include a data communication function, a voice communication function, a camera function, a multimedia player function, and a payment function. Various functions are included.

As an example of a terminal function, Korean Patent Application Laid-Open No. 10-2011-0123393 (published on November 15, 2011) discloses a technology for providing cartoons in the form of mobile digital content.

A personalized recommendation may be provided by reflecting a user's taste for image-based content.

A recommendation component that provides a recommendation result based on content that the user has already consumed may be exposed on the home screen.

A recommendation component that provides a recommendation result may be exposed at the bottom of the content viewer.

In the case of content composed of several episodes (episodes), the recommended component can be exposed at the bottom of the content viewer of the most recent episode.

Content exposed to the viewer and works related to the author of the content can be recommended through the recommendation component exposed at the bottom of the content viewer.

A method for recommending content executed in a computer system, the computer system comprising at least one processor configured to execute computer readable instructions contained in a memory, the method comprising: by the at least one processor, electronic exposing a first recommendation component including at least one first recommendation content selected based on a content consumption log of the electronic device on a home screen in response to a home screen entry request received from a device; and a second recommendation component including at least one second recommendation content selected by the at least one processor based on the specific content in response to a viewer screen entry request of the specific content received from the electronic device, and the specific content There is provided a content recommendation method comprising exposing on a viewer screen of the specific content at least one content recommendation area among third recommendation components including at least one third recommended content selected based on the author of .

According to an aspect, the step of exposing on the home screen includes analyzing data preferred by the user of the electronic device based on the content consumption log and selecting the first recommended content corresponding to the analysis result. can do.

According to another aspect, the step of exposing on the home screen may include assigning a recommendation weight for determining a recommendation ranking of the first recommended content based on the degree of involvement indicating the degree of interest of the user of the electronic device. have.

According to another aspect, in the granting step, a recommendation weight according to content consumption, a recommendation weight according to registration as an interest content, and a recommendation weight according to a paid purchase may be differentially assigned.

According to another aspect, the exposing on the home screen may include lowering the recommendation ranking based on the number of exposures for the first recommended content for a certain period of time.

According to another aspect, the exposing on the home screen may include determining whether to expose the first recommendation component according to the number of contents selected as the first recommendation contents.

According to another aspect, in the step of exposing on the home screen, a new work recommendation component including at least one new work content selected based on the content consumption log from among the content meeting the new work criterion is displayed on the home screen. It may include exposing together with the first recommendation component.

According to another aspect, the exposing on the home screen may include exposing the user information of the electronic device in the title area of the first recommendation component according to whether a user logs in or not.

According to another aspect, the step of exposing the specific content on the viewer screen may include: when the viewer screen entry request is an entry request that meets a predetermined condition, exposing the content recommendation area at the bottom of the viewer screen may include.

According to another aspect, in the step of exposing the specific content on the viewer screen, when the specific content consists of a plurality of sessions, the content recommendation area is displayed on the viewer screen in response to a request to enter the viewer screen of the most recent round. It may include the step of exposing the bottom.

Provided is a computer program stored in a non-transitory computer-readable recording medium to execute the content recommendation method in the computer system.

There is provided a non-transitory computer-readable recording medium in which a program for executing the content recommendation method on a computer is recorded.

A computer system comprising: at least one processor implemented to execute computer readable instructions contained in a memory, wherein the at least one processor consumes content of the electronic device according to a home screen entry request received from the electronic device exposing a first recommendation component including at least one first recommendation content selected based on a log on a home screen; and a second recommendation component including at least one second recommended content selected based on the specific content in response to a viewer screen entry request of the specific content received from the electronic device, and at least selected based on the author of the specific content Provided is a computer system that processes a process of exposing at least one content recommendation area among third recommendation components including one third recommended content on a viewer screen of the specific content.

According to embodiments of the present invention, it is possible to provide a personalized recommendation reflecting the user's taste by analyzing data preferred by the user based on the content already consumed by the user.

According to embodiments of the present invention, it is possible to induce efficient content selection and consumption by recommending content exposed to the viewer through a recommendation component at the bottom of the content viewer and works related to the author of the content.

1 is a diagram illustrating an example of a network environment according to an embodiment of the present invention.
2 is a block diagram illustrating the internal configuration of an electronic device and a server according to an embodiment of the present invention.
3 is a diagram illustrating an example of components that a processor of a server may include according to an embodiment of the present invention.
4 is a flowchart illustrating an example of a method that a server may perform according to an embodiment of the present invention.
5 to 9 are diagrams illustrating examples of a user interface screen for explaining a process of providing a content recommendation service according to an embodiment of the present invention.

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

Embodiments of the present invention relate to a technique for recommending image-based content.

It is possible to provide a personalized recommendation reflecting a user's taste with respect to image-based content as specifically disclosed herein, and through this, it is possible to induce efficient content selection and consumption.

1 is a diagram illustrating an example of a network environment according to an embodiment of the present invention. The network environment of FIG. 1 shows an example including a plurality of electronic devices 110 , 120 , 130 , 140 , a plurality of servers 150 , 160 , and a network 170 . FIG. 1 is an example for explaining the invention, and the number of electronic devices or the number of servers is not limited as in FIG. 1 .

The plurality of electronic devices 110 , 120 , 130 , and 140 may be a fixed terminal implemented as a computer system or a mobile terminal. Examples of the plurality of electronic devices 110 , 120 , 130 , 140 include a smart phone, a mobile phone, a navigation device, a computer, a notebook computer, a digital broadcasting terminal, a personal digital assistant (PDA), and a portable multimedia player (PMP). ), tablet PCs, game consoles, wearable devices, Internet of things (IoT) devices, virtual reality (VR) devices, augmented reality (AR) devices, and the like. As an example, in FIG. 1 , the shape of a smartphone is shown as an example of the electronic device 110 , but in embodiments of the present invention, the electronic device 110 is substantially different from another through the network 170 using a wireless or wired communication method. It may refer to one of various physical computer systems capable of communicating with the electronic devices 120 , 130 , 140 and/or the servers 150 and 160 .

The communication method is not limited, and a communication method using a communication network (eg, a mobile communication network, a wired Internet, a wireless Internet, a broadcasting network, a satellite network, etc.) that the network 170 may include, as well as a short-distance wireless communication between devices may be included. can For example, the network 170 may include a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), and a broadband network (BBN). , the Internet, and the like. In addition, the network 170 may include any one or more of a network topology including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree, or a hierarchical network, etc. not limited

Each of the servers 150 and 160 communicates with the plurality of electronic devices 110 , 120 , 130 , 140 and the network 170 through a computer device or a plurality of computers that provide commands, codes, files, contents, services, etc. It can be implemented in devices. For example, the server 150 may be a system that provides a first service to a plurality of electronic devices 110 , 120 , 130 , 140 connected through the network 170 , and the server 160 is also a network ( It may be a system that provides the second service to the plurality of electronic devices 110 , 120 , 130 , and 140 connected through 170 . As a more specific example, the server 150 uses an application as a computer program installed and driven in the plurality of electronic devices 110 , 120 , 130 , and 140 to provide a service for the purpose of the application (eg, content recommendation service, etc.) may be provided to the plurality of electronic devices 110 , 120 , 130 , and 140 as a first service. As another example, the server 160 may provide a service for distributing a file for installing and driving the above-described application to the plurality of electronic devices 110 , 120 , 130 , and 140 as the second service.

2 is a block diagram for explaining the internal configuration of an electronic device and a server according to an embodiment of the present invention. In FIG. 2 , the internal configuration of the electronic device 110 and the server 150 will be described as an example of the electronic device. In addition, other electronic devices 120 , 130 , 140 or server 160 may also have the same or similar internal configuration as the aforementioned electronic device 110 or server 150 .

The electronic device 110 and the server 150 may include memories 211 and 221 , processors 212 and 222 , communication modules 213 and 223 , and input/output interfaces 214 and 224 . The memories 211 and 221 are non-transitory computer-readable recording media, and are non-transitory computer-readable recording media, such as random access memory (RAM), read only memory (ROM), disk drive, solid state drive (SSD), flash memory, and the like. It may include a permanent mass storage device. Here, a non-volatile mass storage device such as a ROM, an SSD, a flash memory, a disk drive, etc. may be included in the electronic device 110 or the server 150 as a separate permanent storage device distinct from the memories 211 and 221 . In addition, in the memories 211 and 221 , an operating system and at least one program code (eg, a browser installed and driven in the electronic device 110 or codes for an application installed in the electronic device 110 to provide a specific service) can be stored. These software components may be loaded from a computer-readable recording medium separate from the memories 211 and 221 . The separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card. In another embodiment, the software components may be loaded into the memories 211 and 221 through the communication modules 213 and 223 rather than the computer-readable recording medium. For example, the at least one program is a computer program installed by files provided through the network 170 by a file distribution system (eg, the above-described server 160 ) that distributes installation files of developers or applications. It may be loaded into the memories 211 and 221 based on (eg, the above-described application).

The processors 212 and 222 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. The instructions may be provided to the processors 212 and 222 by the memories 211 and 221 or the communication modules 213 and 223 . For example, the processors 212 and 222 may be configured to execute received instructions according to program codes stored in a recording device such as the memories 211 and 221 .

The communication modules 213 and 223 may provide a function for the electronic device 110 and the server 150 to communicate with each other through the network 170 , and the electronic device 110 and/or the server 150 may communicate with each other through the network 170 . A function for communicating with an electronic device (eg, the electronic device 120 ) or another server (eg, the server 160 ) may be provided. For example, a request generated by the processor 212 of the electronic device 110 according to a program code stored in a recording device such as the memory 211 is transmitted to the server 150 through the network 170 under the control of the communication module 213 . ) can be transferred. Conversely, a control signal, command, content, file, etc. provided under the control of the processor 222 of the server 150 passes through the communication module 223 and the network 170 to the communication module 213 of the electronic device 110 . ) through the electronic device 110 . For example, a control signal, command, content, file, etc. of the server 150 received through the communication module 213 may be transmitted to the processor 212 or the memory 211 , and the content or file may be transmitted to the electronic device ( 110) may be stored as a storage medium (the above-described permanent storage device) that may further include.

The input/output interface 214 may be a means for interfacing with the input/output device 215 . For example, the input device may include a device such as a keyboard, mouse, microphone, camera, and the like, and the output device may include a device such as a display, speaker, haptic feedback device, and the like. As another example, the input/output interface 214 may be a means for an interface with a device in which functions for input and output are integrated into one, such as a touch screen. The input/output device 215 may be configured as one device with the electronic device 110 . In addition, the input/output interface 224 of the server 150 may be a means for interfacing with a device (not shown) for input or output that is connected to the server 150 or that the server 150 may include. As a more specific example, when the processor 212 of the electronic device 110 processes a command of a computer program loaded in the memory 211 , a service configured using data provided by the server 150 or the electronic device 120 . A screen or content may be displayed on the display through the input/output interface 214 .

In addition, in other embodiments, the electronic device 110 and the server 150 may include more components than those of FIG. 2 . However, there is no need to clearly show most of the prior art components. For example, the electronic device 110 is implemented to include at least a portion of the above-described input/output device 215 or other components such as a transceiver, a global positioning system (GPS) module, a camera, various sensors, and a database. may include more. As a more specific example, when the electronic device 110 is a smartphone, an acceleration sensor or a gyro sensor, a camera module, various physical buttons, a button using a touch panel, an input/output port, and a vibrator for vibration generally included in the smartphone. Various components such as may be implemented to be further included in the electronic device 110 .

Hereinafter, specific embodiments of a method and system for personalized recommendation of image-based content will be described.

In the present specification, content is an image-based content, and may include an image itself, such as a webtoon or a web novel, or all content produced by including an image or combining it with an image.

3 is a block diagram illustrating an example of components that a processor of a server may include according to an embodiment of the present invention, and FIG. 4 is an example of a method that the server may perform according to an embodiment of the present invention is a flowchart showing

The server 150 according to the present embodiment serves as a service platform that provides content. The server 150 may include a computer-implemented content recommendation system. The server 150 serves content to a plurality of electronic devices 110 , 120 , 130 , and 140 that are clients, and a dedicated application installed on the electronic devices 110 , 120 , 130 , 140 . Alternatively, a content recommendation service may be provided through access to a web/mobile site related to the server 150 . In particular, the server 150 may provide a personalized recommendation reflecting the user's taste in serving the content.

The processor 222 of the server 150 is a component for performing the content recommendation method according to FIG. 4 , and as shown in FIG. 3 , a log recorder 310 , a content selector 320 , and a content exposure unit ( 330) may be included. Depending on the embodiment, components of the processor 222 may be selectively included in or excluded from the processor 222 . In addition, according to an embodiment, the components of the processor 222 may be separated or combined to express the functions of the processor 222 .

The processor 222 and components of the processor 222 may control the server 150 to perform steps S410 to S450 included in the content recommendation method of FIG. 4 . For example, the processor 222 and the components of the processor 222 may be implemented to execute instructions according to the code of the operating system included in the memory 221 and the code of at least one program.

Here, the components of the processor 222 may be expressions of different functions performed by the processor 222 according to instructions provided by the program code stored in the server 150 . For example, the log recorder 310 may be used as a functional representation of the processor 222 that controls the server 150 according to the above-described command so that the server 150 records a user's content consumption log.

The processor 222 may read a necessary command from the memory 221 in which the command related to the control of the server 150 is loaded. In this case, the read command may include a command for controlling the processor 222 to execute steps S410 to S450 to be described later. Steps S410 to S450 to be described later may be performed in an order different from that shown in FIG. 4 , and some of the steps S410 to S450 may be omitted or additional processes may be further included.

Referring to FIG. 4 , in step S410 , the log recorder 310 may record a content consumption log generated by the user of the electronic device 110 for a recent predetermined period. The log recorder 310 may store and maintain information on content consumed by the user as a content consumption log. When the user enters the content viewer screen, the log recorder 310 may regard the corresponding content as the content actually consumed by the user, and may record the content consumption log as a target. For example, in the case of a webtoon, the genre, drawing style, work information, artist information, etc. of the webtoon consumed by the user may be recorded as the user's content consumption log. In this case, the log recording unit 310 may classify and record the content consumption log based on genre, picture type, work information, artist information, and the like. For example, the number of webtoons belonging to the 'comic' genre among the total number of webtoons consumed by the user during a recent period may be classified and counted.

In step S420 , the content selection unit 320 receives at least one content ( Hereinafter, 'first recommended content') may be selected. The content selection unit 320 may select the first recommended content in which the user's taste is reflected by using the user's content consumption log. For example, in the case of a webtoon, works similar to a genre, a picture style, an artist's works, or works frequently consumed by the user may be selected as the first recommended content. The content selector 320 may determine the first recommended content pool corresponding to the analysis result by analyzing the user's preferred data (eg, genre, picture type, artist, work, etc.) based on the user's content consumption log. Accordingly, the content selection unit 320 may select the first recommended content based on works consumed by the user of the electronic device 110 during a recent period.

The first recommended content pool can be selected from among the contents registered on the service platform, and original contents serialized regularly by writers with formal licensing agreements, and canvas contents freely registered and shared as creative works by service users etc. may be included. Among the canvas contents, a type of content that shares advertising revenue with an artist may be included in the recommendation target. In addition, works consumed by the user among the contents on the service platform (in the case of webtoons, works that consume at least one series of serialized episodes) may be excluded from recommendation, and content that meets some conditions, such as advertising revenue Works whose sharing has been turned OFF, works that have been blinded, works that are registered for management exclusion from recommendations, works whose service status is not activated, works with fewer than a certain number of registered episodes, and episodes that have been recently registered for a certain period You can exclude works that do not have a .

The content selection unit 320 may determine a first recommended content pool by selecting a predetermined number of content, and may be based on a predefined ranking logic (eg, ranking based on popularity) for the first recommended content pool. Recommendation ranking can be applied accordingly. Furthermore, the content selector 320 may differentially assign a recommendation weight for determining the recommendation ranking according to the degree of involvement indicating the degree of interest of the user of the electronic device 110 . For example, in the case of webtoons, works that have consumed at least one episode (works that consume some of the serialized episodes and have remaining episodes that are not consumed) are given a default value as a recommendation weight, and the user selects a work of interest. A registered work may be given a higher weight than a weight according to consumption, and a work for which the user has purchased at least one paid episode may be given a higher weight than a weight according to interest registration.

The content selection unit 320 selects recommended content that meets the user's taste in content with a high ranking such as popularity, as well as selects canvas content that meets the user's taste even if the popularity is somewhat lowered as a recommendation result. You can select more various recommended content.

The content selection unit 320 may apply a ranking down logic to the first recommended content pool based on the number of content recommendations. In addition to recording the content consumption log of the user of the electronic device 110 , the log recorder 310 may also record information on content recommended to the user. For example, the log recorder 310 may record the number of times the content recommended by the user of the electronic device 110 is exposed as a result of a recommendation for each content recently recommended for a certain period. In this case, the content selection unit 320 classifies the content not consumed by the user of the electronic device 110 from among the content exposed as a result of recommendation more than a certain number of times during the recent predetermined period in the first recommended content pool, and ranks the recommended content. can be down For example, content that has been recommended 5 times in the last week but is not consumed by the user may lower the recommendation ranking, and if the number of recommendations is less than 5 times even if the user has not consumed the content, the recommendation ranking may be maintained.

In step S430 , the content exposing unit 330 places the first recommendation component including the first recommended content selected in step S420 on the home screen at a predetermined location in response to the request for entering the home screen of the electronic device 110 . can be exposed to The content exposure unit 330 may determine whether to expose the first recommended component according to the number of content selected as the first recommended content. The content exposing unit 330 does not expose the first recommended component on the home screen when the number of contents included in the first recommended content pool is less than a predetermined number, but exposes the first recommended component on the home screen when the number is greater than or equal to a predetermined number. can do. Accordingly, when the user of the electronic device 110 enters the home screen, the content exposing unit 330 may expose the first recommendation component including the first recommended content to the home screen as a recommendation result reflecting the user's taste. .

The content exposing unit 330 may expose a separate new recommended component composed of new content on the home screen as a result of another recommendation reflecting the user's taste. To this end, the content selection unit 320 selects at least one content, in which the user's taste is reflected, as a new work recommendation result, based on the user's content consumption log, from among the content registered on the service platform and meeting the predetermined new work standard. can do. In the case of webtoons, works with new episodes registered within a certain period of time can be selected as new recommendations. In the case of original content, works with new notifications checked according to the registration of a new episode are selected as new recommendation results. can be selected as a result of the new recommendation. The content exposing unit 330 may expose a new recommendation component together with the first recommendation component on the home screen in response to a request to enter the home screen of the electronic device 110 . Similarly, when the number of contents selected as a result of a new recommendation recommendation is less than a predetermined number, the new recommendation component is not exposed on the home screen.

As a content recommendation area exposed on the home screen, the content exposing unit 330 may expose the first recommendation component by placing the first recommendation component at the top of the screen rather than the new recommendation component when exposing the new recommendation component together.

The content exposing unit 330 may expose user information (eg, a nickname) in the title area of the first recommendation component and the new recommendation component in the logged-in state according to whether the user of the electronic device 110 logs in or not.

In step S440 , the content selection unit 320 receives from the electronic device 110 a request to enter the viewer screen of the content specified by the user of the electronic device 110 , at least one item to be recommended based on the content. Based on the content (hereinafter, referred to as 'second recommended content') and the author of the corresponding content, at least one content to be recommended (hereinafter, referred to as 'third recommended content') may be selected. A user may select a content on the home screen and enter the viewer screen of the corresponding content, and may enter the viewer screen of a specific content through various routes other than the home screen, for example, an update notification or a new work notification. The second recommended content is recommended content related to the specific content exposed through the viewer, and may include content that has been consumed a lot by other users who have consumed the specific content, and content that has the same genre or picture as the specific content. The third recommended content is recommended content associated with the writer of the specific content exposed through the viewer, and may include other content produced by the writer of the specific content.

The content selector 320 may select the second recommended content and the third recommended content in response to an entry request that satisfies a predetermined condition among the viewer screen entry requests. For example, the original content consists of a plurality of episodes, and in this case, it may be divided into a free episode provided for free and a paid episode provided for a fee. In the case of a free episode, the recommendation result (second recommendation content and third recommendation content) is called only when entering the viewer screen of the most recently registered episode, and in the case of a paid episode, the recommendation result (second recommendation) when entering the viewer screen of all episodes content and the third recommended content). In the case of the canvas content, the recommendation result (the second recommended content and the third recommended content) can be called only when entering the viewer screen of the most recently registered episode.

Since the specific selection method and recommendation ranking of the second recommended content and the third recommended content are similar to those of the first recommended content, a detailed description thereof will be omitted.

In step S450 , the content exposing unit 330 receives a second recommendation component including the second recommended content on the viewer screen according to the viewer screen entry request of the electronic device 110 and a third recommendation component including the third recommended content. can be exposed. The content exposure unit 330 may expose the second recommendation component and the third recommendation component at a predetermined position on the viewer screen in consideration of the story progress direction of the content exposed on the viewer screen. In the case of a webtoon, the second recommended component and the third recommended component may be exposed at the bottom of the viewer screen, that is, after the last scene of the corresponding episode.

The second recommendation component may be exposed by default, and the third recommendation component may be exposed when at least one other work of an author of a specific content exposed through the viewer exists.

The content exposing unit 330 is a content recommendation area exposed on the viewer screen, and when exposing the second recommendation component and the third recommendation component together, the third recommendation component may be disposed on the upper part of the screen rather than the second recommendation component.

The content exposure unit 330 exposes the content recommendation area only on the viewer screen of the most recently registered episode in the case of free episodes of the original content or canvas content, while the content recommendation area is exposed on all viewer screens in the paid episode of the original content. can do.

5 to 9 show examples of user interface screens for explaining a process of providing a content recommendation service according to an embodiment of the present invention.

5 to 6 show an example of the home screen 500 , and may be a screen displayed on the display of the electronic device 110 .

5 and 6 , the home screen 500 may include a plurality of components 510, 520, 530, 540, and 550 as a content providing area for providing serviceable content as a content list of various standards. .

The home screen 500 may include an interface for searching for serviceable content, and the plurality of components 510 , 520 , 530 , 540 and 550 may include content selected based on different criteria.

As shown in FIG. 5 , the first recommendation component 520 including the first recommendation content reflecting the user's taste may be disposed at a predetermined position in the home screen 500 . In this case, in the login state, the user's nickname 521 may be exposed in the title area on the first recommendation component 520 .

If the number of contents selected as the first recommended contents is greater than or equal to the predetermined minimum number, the first recommendation component 520 is exposed on the home screen 500 , while if the number is less than the minimum number, the first recommendation component 520 is exposed doesn't happen

As shown in FIG. 6 , the new work recommendation component 540 including the new work recommendation result reflecting the user's taste may be disposed below the first recommendation component 520 in the home screen 500 . Similarly, in the login state, the user's nickname 541 may be exposed in the title area on the new work recommendation component 540 .

The first recommendation component 520 and the new recommendation component 540 are not structured to provide an enumerated recommendation result in a plurality of rows, but rather based on the user's preferred data (genre, picture style, work, author, etc.) A component can have an interface structure that provides a compact recommendation result.

If the number of content selected as the new recommended content is greater than or equal to a predetermined minimum number, the new recommended component 540 is exposed on the home screen 500 , while if the number is less than the minimum, the new recommended recommended component 540 is not exposed.

A minimum number of contents for determining whether to expose each component may be differentially applied to the first recommendation component 520 and the new recommendation component 540 . For example, the first recommendation component 520 may set the minimum number of contents to three, and the new recommendation component 540 may set the minimum number of contents to one.

Referring to FIG. 7 , as the first recommended content, a predetermined maximum number (N) of content (Content_A, ?? Content_N) may be selected and exposed through the first recommendation component 520 . A recommendation ranking may be applied to the first recommendation component 520 according to a predefined ranking logic (eg, ranking based on popularity).

In the case of the first recommendation component 520 , a ranking down logic based on the number of exposures may be applied. For example, referring to FIG. 8 , when 'Content_A' among the first recommended contents was exposed 5 times during the last week through the first recommendation component 520, but no clicks occurred by the user, the recommendation ranking of 'Content_A' is obtained. can be lowered In order to guarantee the minimum number of exposures for the first recommended content, even if it is not clicked for a week, if it is exposed less than 5 times, the recommendation ranking is not lowered.

9 shows an example of the viewer screen 900 and may be a screen displayed on the display of the electronic device 110 .

The viewer screen 900 is an interface screen that provides content specified by a user in a consumable form, for example, in a readable state in the case of a webtoon.

The viewer screen 900 may include at least one content recommendation area for recommending content other than the area in which the content is provided in a consumable form.

Referring to FIG. 9 , the third recommendation component 910 and the second recommendation component 920 are the content recommendation areas, and the bottom of the viewer screen 920 , for example, the last content of the content exposed through the viewer screen 920 . It may be disposed at a position after the exposed point.

When the content provided through the viewer screen 920 is a webtoon composed of several episodes, the third recommendation component 910 and the second recommendation component 920 may be exposed only on the viewer screen 920 of the most recently registered episode. have. In some episodes, for example, in the case of a paid episode, the third recommendation component 910 and the second recommendation component 920 may be exposed on the viewer screen 920 of all episodes.

The third recommendation component 910 disposed on the viewer screen 920 may be positioned above the second recommendation component 920 .

In the third recommendation component 910 , through the viewer screen 900 , other content produced by the author of the content the user is currently consuming may be exposed as recommended content, and the second recommendation component 920 includes the viewer screen 900 . ), together with the content the user is currently consuming, other content that has been consumed a lot may be exposed as recommended content.

The second recommendation component 920 is always exposed at the bottom of the viewer screen 920 by default, and the third recommendation component 910 may be switched to a non-exposed state when a predetermined condition is satisfied. For example, if there is no other content produced by the author of the content the user is currently consuming through the viewer screen 900 , the third recommendation component 910 is not exposed and only the second recommendation component 920 is exposed. can be

As described above, according to embodiments of the present invention, it is possible to provide a personalized recommendation reflecting the user's taste on the home screen by analyzing the user's preferred data based on the content already consumed by the user. In addition, according to embodiments of the present invention, it is possible to induce efficient content selection and consumption by recommending content exposed to the viewer through a recommendation component at the bottom of the content viewer and works related to the author of the content.

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

The software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be embodied in any type of machine, component, physical device, computer storage medium or device for interpretation by or providing instructions or data to the processing device. have. The software may be distributed over networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. In this case, the medium may be to continuously store a program executable by a computer, or to temporarily store it for execution or download. In addition, the medium may be a variety of recording means or storage means in the form of a single or several hardware combined, it is not limited to a medium directly connected to any computer system, and may exist distributed on a network. Examples of the medium include a hard disk, a magnetic medium such as a floppy disk and a magnetic tape, an optical recording medium such as CD-ROM and DVD, a magneto-optical medium such as a floppy disk, and those configured to store program instructions, including ROM, RAM, flash memory, and the like. In addition, examples of other media may include recording media or storage media managed by an app store for distributing applications, sites for supplying or distributing other various software, and servers.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible from the above description by those skilled in the art. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

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

Claims (20)

A content recommendation method executed in a computer system, the method comprising:
the computer system comprising at least one processor configured to execute computer readable instructions contained in a memory;
The content recommendation method is
A first recommendation component including at least one first recommendation content selected based on a content consumption log of the electronic device according to a home screen entry request received from the electronic device is displayed on the home screen by the at least one processor exposing; and
A second recommendation component including at least one second recommended content selected based on the specific content in response to a viewer screen entry request of the specific content received from the electronic device by the at least one processor and the specific content Exposing at least one content recommendation area among third recommendation components including at least one third recommended content selected based on the author on the viewer screen of the specific content
A content recommendation method that includes. According to claim 1,
The step of exposing on the home screen,
analyzing data preferred by the user of the electronic device based on the content consumption log and selecting the first recommended content corresponding to the analysis result;
A content recommendation method that includes. According to claim 1,
The step of exposing on the home screen,
Giving a recommendation weight for determining a recommendation ranking of the first recommended content based on the degree of involvement indicating the degree of interest of the user of the electronic device
A content recommendation method that includes. 4. The method of claim 3,
The giving step is
Differentially giving recommendation weight according to content consumption, recommendation weight according to registration as interested content, and recommendation weight according to paid purchase
Content recommendation method, characterized in that. 4. The method of claim 3,
The step of exposing on the home screen,
Downgrading the recommendation ranking based on the number of exposures for a certain period with respect to the first recommended content
A content recommendation method that includes. According to claim 1,
The step of exposing on the home screen,
determining whether to expose the first recommendation component according to the number of contents selected as the first recommendation contents;
A content recommendation method that includes. According to claim 1,
The step of exposing on the home screen,
exposing a new work recommendation component including at least one new content selected based on the content consumption log from among the content that meets the new content standard on the home screen together with the first recommendation component;
A content recommendation method that includes. According to claim 1,
The step of exposing on the home screen,
exposing the user information of the electronic device in the title area of the first recommendation component according to the login status;
A content recommendation method that includes. According to claim 1,
The step of exposing the specific content on the viewer screen,
exposing the content recommendation area at the bottom of the viewer screen when the viewer screen entry request is an entry request that meets a predetermined condition
A content recommendation method that includes. According to claim 1,
The step of exposing the specific content on the viewer screen,
exposing the content recommendation area at the bottom of the viewer screen in response to a request for entry to the viewer screen of the most recent round when the specific content consists of a plurality of rounds
A content recommendation method that includes. A computer program stored in a non-transitory computer-readable recording medium for executing the content recommendation method according to any one of claims 1 to 10 in the computer system. A non-transitory computer-readable recording medium in which a program for executing the content recommendation method according to any one of claims 1 to 10 on a computer is recorded. In a computer system,
at least one processor implemented to execute computer readable instructions contained in a memory
including,
the at least one processor,
exposing a first recommendation component including at least one first recommendation content selected based on a content consumption log of the electronic device on a home screen in response to a home screen entry request received from an electronic device; and
A second recommendation component including at least one second recommended content selected based on the specific content in response to a viewer screen entry request of the specific content received from the electronic device and at least one selected based on the author of the specific content exposing at least one content recommendation area among third recommendation components including the third recommended content of
A computer system that processes them. 14. The method of claim 13,
the at least one processor,
analyzing data preferred by the user of the electronic device based on the content consumption log and selecting the first recommended content corresponding to the analysis result
A computer system characterized by a. 14. The method of claim 13,
the at least one processor,
Giving a recommendation weight for determining a recommendation ranking of the first recommended content based on the degree of involvement indicating the degree of interest of the user of the electronic device
A computer system characterized by a. 16. The method of claim 15,
the at least one processor,
Differentially giving recommendation weight according to content consumption, recommendation weight according to registration as interested content, and recommendation weight according to paid purchase
A computer system characterized by a. 16. The method of claim 15,
the at least one processor,
Downgrading the recommendation ranking based on the number of exposures for a certain period with respect to the first recommended content
A computer system characterized by a. 14. The method of claim 13,
the at least one processor,
Exposing a new recommendation component including at least one new content selected based on the content consumption log from among the content meeting the new content criteria on the home screen together with the first recommendation component
A computer system characterized by a. 14. The method of claim 13,
the at least one processor,
Exposing the content recommendation area at the bottom of the viewer screen when the viewer screen entry request is an entry request that meets a predetermined condition
A computer system characterized by a. 14. The method of claim 13,
the at least one processor,
When the specific content consists of a plurality of sessions, exposing the content recommendation area at the bottom of the viewer screen in response to a request to access the viewer screen of the most recent round
A computer system characterized by a.

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