Content providing method and system

Abstract

To provide a method and a system for providing content that are capable of more effectively providing information on content.SOLUTION: A method of providing content may include the steps of: receiving, from a user terminal, a request to output a specific page corresponding to a specific day of the week among a plurality of pages distinguished on the basis of the day of the week; identifying a specific user account logged in to the user terminal, and identifying a recommended content that is recommended for the specific user account among multiple pieces of content provided on the specific day of the week; and providing, to the user terminal, at least some of the multiple pieces of content being serialized on that specific day of the week and the specific page in which a plurality of thumbnails corresponding to each of the recommended content are listed according to predetermined sorting criteria. A specific thumbnail corresponding to the recommended content among the plurality of thumbnails may include a recommendation indicator.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a method and system for providing content, and more particularly to a method and system for providing content that can provide user-customized recommended content when providing information about the content in order based on the day of the week on which the content is serialized. [Background technology]

[0002] As technology advances, the use of digital devices is becoming more widespread. In particular, user terminals (e.g., smartphones, tablet PCs, etc.) are equipped with a variety of functions, including not only communication functions such as phone calls and text messages, but also Internet surfing, listening to music, and watching videos.

[0003] 2. Description of the Related Art With the popularization of user terminals, unlike traditional content consumption media, the consumption of content provided by user terminals such as PCs and mobile phones has increased rapidly. One example is web comics.

[0004] As consumption of such webcomics continues to increase, various businesses (or webcomic-related service providers) are developing various services to ensure that users (or consumers, subscribers) can continue to use their services.

[0005] Meanwhile, in order to ensure that content such as web comics is consumed continuously, content provision services serialize content in various ways. For example, specific content is serialized on specific serialization days of the week, encouraging users to visit on those specific serialization days in order to access their favorite content. Summary of the Invention [Problem to be solved by the invention]

[0006] The present invention relates to a content providing method and system capable of more effectively providing information related to content to a user.

[0007] In particular, the present invention relates to a content providing method and system capable of providing user-customized recommended content when providing information about content in order based on the day of the week on which the content is serialized.

[0008] The present invention also relates to a content providing method and system that provides a user environment in which a user can intuitively recognize recommended content. [Means for solving the problem]

[0009] In order to solve the above problem, the content providing method of the present invention includes the steps of receiving from a user terminal an output request for a specific page corresponding to a specific serialization day among a plurality of pages categorized based on the serialization day of the week; checking a specific user account logged in to the user terminal and checking recommended content recommended to the specific user account among a plurality of contents provided on the specific serialization day of the week; and providing to the user terminal the specific page on which at least a portion of the plurality of contents serialized on the specific serialization day of the week and a plurality of thumbnails corresponding to each of the recommended contents are arranged in accordance with a predetermined sorting criterion, and a specific thumbnail among the plurality of thumbnails corresponding to the recommended content may include a recommendation indicator.

[0010] In addition, the content providing system according to the present invention includes a communication unit that receives from a user terminal an output request for a specific page corresponding to a specific serialization day among a plurality of pages categorized based on the serialization day of the week, and a control unit that checks a specific user account logged in to the user terminal and checks recommended content recommended to the specific user account among a plurality of contents provided on the specific serialization day of the week, and the control unit provides the user terminal with the specific page on which at least a portion of the plurality of contents serialized on the specific serialization day of the week and a plurality of thumbnails corresponding to each of the recommended contents are arranged in accordance with a predetermined sorting criterion, and a specific thumbnail among the plurality of thumbnails that corresponds to the recommended content may include a recommendation indicator.

[0011] Furthermore, the program according to the present invention is a program executed by one or more processes in an electronic device and stored on a computer-readable recording medium, and includes commands for executing the steps of receiving from a user terminal an output request for a specific page corresponding to a specific serialization day among a plurality of pages categorized based on the serialization day of the week, checking a specific user account logged in to the user terminal and checking recommended content recommended for the specific user account among a plurality of contents provided on the specific serialization day of the week, and providing the user terminal with the specific page on which at least a portion of the plurality of contents serialized on the specific serialization day and a plurality of thumbnails corresponding to each of the recommended contents are arranged in accordance with a predetermined sorting criterion, and a specific thumbnail among the plurality of thumbnails corresponding to the recommended content may include a recommendation indicator. Effect of the Invention

[0012] As described above, the content providing method and system according to the present invention provides an intuitive user environment in which information about content serialized on a day of the week basis can be grasped at a glance by collecting and providing information about content serialized on a specific service page.

[0013] Furthermore, the content providing method and system according to the present invention can provide users with information about popular content by providing the content serialized on a specific serialization day in order of rank.

[0014] Furthermore, the content providing method and system according to the present invention can provide a user with information about user-customized recommended content along with information about popular content by overlaying a recommendation indicator on a thumbnail corresponding to recommended content selected based on user information of a specific user account.

[0015] Furthermore, the content providing method and system according to the present invention can encourage users to use content by recommending content that is expected to be preferred by the user. [Brief description of the drawings]

[0016] [Figure 1] 1 is a conceptual diagram for explaining a method for providing user-customized recommended content in the present invention; [Diagram 2] 1 is a conceptual diagram for explaining a content providing system according to the present invention; [Diagram 3] 2 is a flowchart illustrating a content providing method according to the present invention. [Figure 4] FIG. 13 is a conceptual diagram for explaining a method for providing recommended content based on the day of the week when a series is serialized. [Diagram 5] FIG. 13 is a conceptual diagram for explaining a method for providing recommended content based on the day of the week when a series is serialized. [Figure 6A] FIG. 11 is a conceptual diagram for explaining a method for providing recommended content based on user information. [Figure 6B] FIG. 11 is a conceptual diagram for explaining a method for providing recommended content based on user information. [Figure 7] FIG. 11 is a conceptual diagram for explaining a method for providing recommended content based on user information. [Figure 8] 11 is a conceptual diagram for explaining a page provided on an electronic device of a non-logged-in user. FIG. [Figure 9] 1 is a conceptual diagram illustrating a method for providing recommended content according to an alignment criterion; DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] Hereinafter, the embodiments disclosed in this specification will be described in detail with reference to the attached drawings. The same or similar components are denoted by the same or similar reference numerals regardless of the drawing numbers, and the description thereof will be omitted. The suffixes "module" and "part" of components used in the following description are given or mixed to facilitate the preparation of the specification, and do not have any significance or usefulness in themselves. In addition, when describing the embodiments disclosed in this specification, if it is determined that a specific description of related publicly known technology may obscure the gist of the embodiments disclosed in this specification, the detailed description thereof will be omitted. Note that the attached drawings are merely for the purpose of making the embodiments disclosed in this specification easily understandable, and the technical ideas disclosed in this specification are not limited by the attached drawings, and it should be understood that any modifications, equivalents, or alternatives included in the idea and technical scope of the present invention are included in the present invention.

[0018] Terms including ordinal numbers such as first, second, etc. are used to describe various components, but the components are not limited to the terms. The terms are used only to distinguish one component from another.

[0019] When a component is said to be "coupled" or "connected" to another component, it should be understood that the component may be directly coupled or connected to the other component, and that there may be additional components in between. In contrast, when a component is said to be "directly coupled" or "directly connected" to another component, it should be understood that there are no additional components in between.

[0020] Singular expressions include plural expressions unless otherwise specified.

[0021] As used herein, terms such as "comprise" and "have" are intended to specify the presence of features, numbers, steps, operations, components, parts, or combinations thereof set forth in the specification, but should not be understood to preclude the presence or additional possibility of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0022] As shown in (a) of FIG. 1, the present invention can provide information about content serialized for each day of the week (e.g., thumbnails, work titles, author names, etc.) arranged according to a specific sorting criterion (e.g., by popularity, rating, number of views, etc.) on a page 410 corresponding to a specific serialization day of the week.

[0023] Furthermore, as shown in (b) of FIG. 1, the present invention can identify user-customized recommended content based on user information associated with each user account, and provide a recommendation indicator 430 by superimposing it on a thumbnail 416 corresponding to the identified recommended content.

[0024] The user can be provided with all the content information and user-customized recommended content according to the ranking for each serialization day of the week.

[0025] Furthermore, in the present invention, it is possible to induce users to browse content, increase content usage, and ensure that content is consumed continuously.

[0026] The "content providing service" described in this specification can be understood as a term that encompasses services provided by the content providing system 100 according to the present invention. The content providing service can be understood to include not only a service of providing content to the user terminal 200, but also information related to the content and various functions incidental to the use of the content.

[0027] Meanwhile, the content providing system 100 described in the present invention may be a system that provides at least one of various types of content.

[0028] The present invention can be applied to a wide variety of content types. For example, at least one of the following content types may be included in the content provided by the present invention: web comics (or web comics, comics), web novels, music, e-books, videos, and still images.

[0029] On the other hand, in the present invention, "content" can also be called "work."

[0030] For the sake of convenience, the following description will be given taking webcomics as an example, where webcomics refer to cartoons or comics provided via an internet network.

[0031] Such content may be composed of at least one sub-content.

[0032] When there are multiple sub-contents, the multiple sub-contents can constitute a content series.

[0033] Here, a series may refer to a continuous project or content.

[0034] In the present invention, in order to avoid confusion between the terms "content" and "subcontent," "subcontent" can be called "episode." That is, in the present invention, "subcontent" and "episode" can be used interchangeably.

[0035] In addition, in the present invention, "using (or consuming, viewing) content" can be understood as using (or consuming, viewing) an episode (or sub-content).

[0036] The content providing system 100 will be described below with reference to the accompanying drawings, and the content providing service provided by the content providing system 100 will be described in detail. Fig. 2 is a conceptual diagram for explaining the content providing system according to the present invention.

[0037] As shown in FIG. 2, the content providing system 100 includes at least one of a communication unit 110, a storage unit 120, and a control unit .

[0038] Here, the communication unit 110 serves to provide (or transmit) content or various information related to the content to the user terminal 200 via wired or wireless communication.

[0039] 2, the user terminal 200 is not limited in type, and examples thereof include mobile phones, smart phones, notebook computers, laptop computers, slate PCs, tablet PCs, ultrabooks, desktop computers, digital broadcast terminals, personal digital assistants (PDAs), portable multimedia players (PMPs), navigation systems, and wearable devices (e.g., smartwatches, smart glasses, and head mounted displays (HMDs)). In the present invention, the term "user terminal" can be used interchangeably with "user terminals" and "electronic devices."

[0040] Furthermore, the communication unit 110 can receive user input related to content usage from the user terminal 200. In the present invention, based on the user input received by the communication unit 110, various services related to content usage can be provided to the user.

[0041] Next, the storage unit 120 may be configured to store various information related to content usage. Such storage unit 120 may include at least one of a content server (content DB (data base)) 100a including information related to a plurality of contents, and an AI Recommender System (AI Recommender DB (data base)) 100b including information used for selecting user-customized recommended content based on artificial intelligence.

[0042] The information on the content provision service of the present invention can be stored in at least a part of the content server 100a and the AI ​​recommendation server 100b, and the present invention does not have any particular limitations on the method. Therefore, in the following, the storage unit 120, the content server 100a, and the AI ​​recommendation server 100b can be referred to as the storage unit 120 without being separately distinguished.

[0043] In the following, the content server and the content DB are not differentiated but are collectively referred to as the content server, and the AI ​​recommendation server and the AI ​​recommendation DB are not differentiated but are collectively referred to as the AI ​​recommendation server. In other words, it goes without saying that in the present invention, the content server can be understood as the content DB, and the AI ​​recommendation server can be understood as the AI ​​recommendation DB.

[0044] In addition, the content server 100a and the artificial intelligence recommendation server 100b that store a plurality of contents may exist as a separate configuration from the storage unit 120. In this case, the content providing system 100 according to the present invention can provide the user terminal 200 with information stored in at least one of the content server 100a and the artificial intelligence recommendation server 100b.

[0045] The storage unit 120 may be configured to store a plurality of contents that can be provided by the content providing system 100 according to the present invention and information related thereto.

[0046] As shown in FIG. 5, a plurality of contents may be matched for different days of the week in the storage unit 120 and may exist as matching information 510 and 520.

[0047] A plurality of contents matched to a specific serialization day of the week can be understood as contents that are serialized on the specific serialization day of the week. In the present invention, the terms "day of the week" and "serialization day of the week" can be used interchangeably.

[0048] For example, as shown in (a) of Fig. 5, the first to ninth contents 511 to 519 may be matched to a first specific serialization day (e.g., "Thursday"), and as shown in (b) of Fig. 5, the tenth to eighteenth contents 521 to 529 may be matched to a second specific serialization day (e.g., "Friday").

[0049] The first to ninth contents 511-519 matched to a first specific serialization day (e.g., "Thursday") can be understood as being serialized on the first specific serialization day (e.g., "Thursday"), and the tenth to eighteenth contents 521-529 matched to a second specific serialization day (e.g., "Friday") can be understood as being serialized on the second specific serialization day (e.g., "Friday").

[0050] On the other hand, a specific content may be matched to both the first specific serialization day and the second specific serialization day, in which case the specific content can be understood as being serialized on the first specific serialization day and the second specific serialization day, respectively.

[0051] Meanwhile, the storage unit 120 may include ranking information for each of the plurality of contents. The ranking information may be matched to each of the contents and stored in the storage unit 120.

[0052] The ranking information on the contents can be obtained based on various criteria. For example, the ranking information on the contents can be obtained based on the popularity of multiple contents matched to a specific publication day, the number of views (number of inquiries), the evaluation (rating), the paid payment, or other criteria.

[0053] The ranking information regarding the content may be stored by accumulating the rankings (or ranking information) at each of a plurality of times when the rankings are acquired (or calculated). In other words, the rankings of the content may be managed as a ranking history so that the history of changes in the rankings can be understood.

[0054] The storage unit 120 may also store user information associated with a user account that has subscribed to the content providing service according to the present invention.

[0055] Here, "user information" includes various information of a user account related to the content providing service, and may include profile information of the user account (eg, age, gender, region, etc.) and history information.

[0056] Here, the history information may include information regarding the content used (or viewed or owned) by the user account (or the user terminal 200 to which the user account is logged in). For example, the history information may include at least one of the following: i) history information of content viewed using a user account (e.g., the title of the content viewed, the episode number of the episode viewed, viewing date and time information, recency information, serialization day information, popularity information, information on content viewed together, etc.); ii) feedback information of the user account regarding specific content (e.g., review information, comment information, rating information, reaction information to content recommendations, history of selecting the close function icon of a pop-up window related to specific content); iii) usage right related information (number of usage rights held, type of usage rights held, type of usage rights used, date and time of use of the usage rights, details of events for which the usage rights were issued, etc.); iv) preference information of the user account (e.g., genre information of content preferred by the user account, author information, content usage time information, content usage type information, etc.); and v) information regarding the content viewing method (e.g., usage rights information held, electronic money information held, presence or absence of regular payment registration history, etc.).

[0057] In the present invention, content in which a user is interested can be recommended in a customized manner, taking into consideration user information (or history information) associated with a user account.

[0058] Specifically, in the present invention, based on history information linked to a user account, recommended content can be identified, such as unviewed content that has not been viewed using the user account, or content that is expected to be preferred by the user account.

[0059] Furthermore, in the present invention, information relating to the identified recommended content (for example, a recommendation indicator, see reference numeral 430 in FIG. 1(b)) can be displayed on the user terminal 200.

[0060] The user can easily make a selection for using the content by referring to the information on the recommended content provided by the present invention.

[0061] Meanwhile, the content providing system 100 according to the present invention may include a history server (not shown) (or a history DB (data base)).

[0062] A history server (not shown) may store user information or history information associated with a user. For example, the history server (not shown) may store history information including history information on content viewed with a user account and information on usage rights assigned to the user account.

[0063] A history server (not shown) that stores a plurality of pieces of history information may exist as one component of the storage unit 120 or may exist as a component separate from the storage unit 120.

[0064] If a history server (not shown) exists separately from the storage unit 120, the content providing system 100 can recommend content to a user account by referring to the history server (not shown).

[0065] The control unit 130 performs a series of processes related to the content providing service and also controls the above-mentioned components.

[0066] It goes without saying that the role of the control unit 130 may be performed by at least one of the content server 100a and the artificial intelligence recommendation server 100b.

[0067] As an example, among the roles performed by the control unit 130, a series of processes for providing content may be performed by the content server 100a, and a series of processes for selecting user-customized recommended content based on artificial intelligence may be configured to be performed by the artificial intelligence recommendation server 100b.

[0068] However, in the present invention, there is no particular limitation on the entity that plays a role related to the content provision service. Therefore, in the following, the control unit 130, the content server 100a, and the AI ​​recommendation server 100b may be referred to as the control unit 130 without being separately distinguished.

[0069] That is, it goes without saying that the functions described below as being performed by the control unit 130 can be performed by at least one of the content server 100a and the artificial intelligence recommendation server 100b.

[0070] Meanwhile, the control unit 130 can arrange each of the thumbnails of a plurality of contents serialized for each day of the week according to one of a plurality of pre-set arrangement criteria, and provide them on a page corresponding to a particular serialization day of the week.

[0071] Here, the pre-set sorting criteria may be set in various ways by the administrator and the control unit 130 of the content providing system 100. For example, the pre-set sorting criteria may be in order of popularity (overall popularity, popularity by age group, popularity by gender, etc.), rating, number of inquiries, reviews, update time, etc.

[0072] In addition, the control unit 130 may display the recommendation indicator 430 by superimposing it on any one of the plurality of thumbnails aligned according to a preset alignment criterion.

[0073] The thumbnails displayed with recommendation indicator 430 may correspond to recommended content identified for recommendation to the user account from a plurality of serialized content for a particular serialized day of the week.

[0074] The control unit 130 can identify customized recommended content for each user account based on user information associated with the user account.

[0075] That is, the control unit 130 can specify different recommended content for each user account based on the user information linked to the user account. Also, the control unit 130 can superimpose the recommendation indicator 430 on different thumbnails based on the specification of different recommended content for each user account.

[0076] Hereinafter, the method for providing user-customized recommended content according to the present invention will be described in more detail with reference to the accompanying drawings. Figure 3 is a flow chart for explaining the content providing method according to the present invention. Figures 4 and 5 are conceptual diagrams for explaining a method for providing recommended content based on a serial day of the week, Figures 6A, 6B and 7 are conceptual diagrams for explaining a method for providing recommended content based on user information, Figure 8 is a conceptual diagram for explaining a page provided on an electronic device of a non-logged-in user, and Figure 9 is a conceptual diagram for explaining a method for providing recommended content according to a sorting criterion.

[0077] In the content providing method according to the present invention, a process of receiving an output request for a specific page corresponding to a specific serialization day from a user terminal 200 among a plurality of pages classified based on serialization days of the week (S310).

[0078] 4, in the present invention, pages 410, 420 corresponding to different serialization days can be provided. The control unit 130 can display thumbnails of content serialized on a particular serialization day on the page 410 corresponding to the particular serialization day (e.g., the page corresponding to "Thursday").

[0079] The control unit 130 can refer to matching information matched to a specific serialization day from the storage unit 120 and display thumbnails of each of a plurality of contents to be serialized on a specific serialization day on a page corresponding to the specific serialization day.

[0080] As shown in FIG. 5, the storage unit 120 may store matching information 510 and 520 in which a plurality of contents are matched for different serialization days.

[0081] In the present invention, content that is matched to a specific serialization day of the week can be understood as content that is serialized on the specific serialization day of the week.

[0082] For example, as shown in (a) of Fig. 5, the first to ninth contents 511 to 519 may be matched to a first specific serialization day (e.g., "Thursday"), and as shown in (b) of Fig. 5, the tenth to eighteenth contents 521 to 529 may be matched to a second specific serialization day (e.g., "Friday").

[0083] The first to ninth contents 511-519 matched to a first specific serialization day (e.g., "Thursday") can be understood as being serialized on the first specific serialization day (e.g., "Thursday"), and the tenth to eighteenth contents 521-529 matched to a second specific serialization day (e.g., "Friday") can be understood as being serialized on the second specific serialization day (e.g., "Friday").

[0084] On the other hand, a specific content may be matched to both the first specific serialization day and the second specific serialization day, in which case the specific content can be understood as being serialized on the first specific serialization day and the second specific serialization day, respectively.

[0085] On the other hand, the output request for a particular page corresponding to a particular serialization day of the week can be configured in various ways.

[0086] As an example, the control unit 130 can receive an output request for a page corresponding to the current day of the week based on the current day of the week. The control unit 130 can receive an output request for a page corresponding to the serialization day of Thursday from the user terminal 200 based on the current day of the week being "Thursday". Also, the control unit 130 can receive an output request for a page corresponding to the serialization day of Friday from the user terminal 200 based on the current day of the week being "Friday".

[0087] As another example, the control unit 130 may receive a request to output a page corresponding to a specific serial day of the week based on a selection of a graphic object corresponding to a specific serial day of the week.

[0088] As shown in (a) and (b) of FIG. 4, the control unit 130 can provide graphic objects 401 and 402 on pages 410 and 420, respectively, corresponding to a plurality of serialized days of the week (for example, "Mon. Tues. Wed. Thu. Fri. Sat. Sun.").

[0089] When a graphic object corresponding to a specific serialization day of the week is selected from among the plurality of graphic objects 401 and 402, the control unit 130 can receive an output request for a specific page corresponding to the specific serialization day of the week.

[0090] As an example, as shown in (a) of FIG. 4, the control unit 130 can receive a request to output a first specific page 410 corresponding to a first specific serialized day of the week based on the selection of a graphic object 401 corresponding to a first specific serialized day of the week (e.g., “Thursday”).

[0091] As another example, as shown in (b) of FIG. 4, the control unit 130 can receive a request to output a second specific page 420 corresponding to a second specific serialized day of the week based on the selection of a graphic object 402 corresponding to a second specific serialized day of the week (e.g., “Friday”).

[0092] Meanwhile, in the content providing method according to the present invention, a process of checking a specific user account logged in to a user terminal and checking recommended content recommended for the specific user account from among a plurality of contents provided on a specific serial day of the week (S320) can be performed.

[0093] The control unit 130 can confirm (or determine) customized recommended content for each user account based on user information linked to the user account.

[0094] Specifically, the control unit 130 can determine, from among a plurality of contents provided on a specific serialized day of the week, a piece of content that satisfies a preset viewing condition and a ranking condition as a piece of content to be recommended to the user account.

[0095] Here, the recommended content that satisfies the preset viewing conditions may be unviewed content that has not been viewed by a specific user account among multiple contents serialized on a specific serialization day of the week, or may be content that has been viewed by a specific user account less than a preset number of times (e.g., three times).

[0096] Based on user information (history information) associated with each user account, the control unit 130 can determine, as recommended content, content from among a plurality of contents serialized on a specific serialized day of the week that has not been viewed by a specific user account or that has been viewed by a specific user account less than a preset number of times.

[0097] For example, as shown in (a) of Fig. 6a, the user information 610 matched to the first user account 600a does not include a history of viewing the "Demon Face Fighting" content. That is, in the first user account 600a, the "Demon Face Fighting" content corresponds to unviewed content among a plurality of contents serialized on a specific serialization day (e.g., "Thursday").

[0098] Therefore, as shown in (b) of FIG. 6a, when there is a request from the first user account 600a to output a specific page corresponding to a specific serialization day (e.g., “Thursday”), the control unit 130 can determine that the “Demon Face Battle” content, which has not been viewed by the first user account 600a, from among the multiple contents serialized on the specific serialization day is to be the recommended content for the first user account.

[0099] Furthermore, the recommended content that satisfies a preset ranking condition may be related to popularity in a user group that is determined based on user information linked to a user account.

[0100] The control unit 130 can determine, among the multiple contents, a content that is recommended to a user group to which a user of a specific user account belongs, as the recommended content for the user account. For example, the control unit 130 can determine, as the recommended content for the user account, a content that is the most popular in a user group to which a user of the user account belongs.

[0101] In this case, even if the control unit 130 receives a request to output a page related to the same serialized day from a first user account and a second user account included in the same user group, the recommended content may be the same or different depending on the content browsing history of each of the first user account and the second user account.

[0102] When the control unit 130 receives a request to output a page related to a first serialized day from a first user account and a second user account included in a first user group among multiple user groups, the control unit 130 can recommend the same recommended content or different recommended content based on the content browsing history of each of the first user account and the second user account.

[0103] Specifically, it is assumed that, for a first user group, a first content is most popular on a first serialized day of the week, and a second content is second most popular after the first content.

[0104] Furthermore, when the browsing history of the first user account satisfies the browsing condition for the first content and the second content, the control unit 130 can determine the first content as the recommended content for the first user account.

[0105] In contrast, if the browsing history of the second user account does not satisfy the viewing conditions for the first content but satisfies the viewing conditions for the second content, the control unit 130 may determine the second content as the recommended content for the second user account.

[0106] Meanwhile, in the content providing method according to the present invention, a process can be performed in which a specific page on which a plurality of thumbnails corresponding to at least some of a plurality of contents serialized on a specific serialization day and each of the recommended contents are arranged according to a predetermined sorting criterion is provided to a user terminal (S330).

[0107] The control unit 130 can arrange, on a specific page, a plurality of thumbnails corresponding to a plurality of contents serialized on a specific serialization day, according to a preset arrangement criterion for the plurality of contents.

[0108] As described above, the matching information 510, 520 may be matched for each serialization day and stored in the storage unit 120. Also, the matching information 510 matched for a specific serialization day (e.g., "Thursday") may include information on a plurality of contents 511-519 serialized on the specific serialization day (see FIG. 5).

[0109] The control unit 130 can refer to matching information 510 matched to a specific serialization day of the week and display multiple thumbnails 411-419, 421-429 corresponding to each of multiple contents 511-519 serialized on a specific serialization day of the week on specific pages 410, 420.

[0110] In this case, the control unit 130 can display different thumbnails on a particular page when the specific serialization days corresponding to the output requests are different.

[0111] For example, as shown in (a) of FIG. 4, when there is a request to output a specific page 410 corresponding to "Thursday", the control unit 130 can display, on the specific page 410, first to ninth thumbnails 411 to 419 corresponding to the first to ninth contents serialized on "Thursday", respectively.

[0112] In contrast, as shown in (b) of FIG. 4, when there is a request to output a specific page 420 corresponding to “Friday”, the control unit 130 can display tenth to eighteenth thumbnails 421 to 429 corresponding to the tenth to eighteenth contents, respectively.

[0113] Furthermore, the control unit 130 can display a plurality of thumbnails 411-419, 421-429 side by side (or aligned) on a particular page 410, 420 corresponding to a particular serialization day of the week, according to any one of a plurality of pre-set alignment criteria.

[0114] Here, the pre-set sorting criteria may be set in various ways by the administrator and the control unit 130 of the content providing system 100. For example, the pre-set sorting criteria may be in order of popularity (overall popularity, popularity by age group, popularity by gender, etc.), rating, number of inquiries, reviews, update time, etc.

[0115] The control unit 130 may sequentially arrange the thumbnails in an area corresponding to a rank according to a rank determined based on any one of a plurality of pre-set sorting criteria.

[0116] For example, as shown in (a) of FIG. 4, the control unit 130 can display, on a specific page 410 corresponding to "Thursday," thumbnails corresponding to content with a high "popularity" ranking among multiple pieces of content serialized on a specific serialized day of the week, in order (or in a line).

[0117] Specifically, the control unit 130 can display thumbnails 411 of content corresponding to a first popularity ranking in a first area corresponding to the first popularity ranking. In addition, the control unit 130 can display thumbnails of content corresponding to a second popularity ranking lower than the first popularity ranking in a second area corresponding to the second popularity ranking, and display thumbnails of content corresponding to a third popularity ranking lower than the second popularity ranking in a third area corresponding to the third popularity ranking.

[0118] On the other hand, on the user terminal 200, a portion of a specific page corresponding to a specific serialization day of the week can be displayed.

[0119] The control unit 130 may display, in a portion of a specific page, thumbnails of only a portion of the contents, which corresponds to a preset number, among a plurality of contents serialized on a specific serialization day.

[0120] Furthermore, the control unit 130 may configure the part of the content corresponding to the preset number to include the recommended content.

[0121] In other words, when providing thumbnails of some of the multiple contents serialized on a specific serialized day of the week on the user terminal 200, the control unit 130 can control the thumbnails provided to include recommended content in the user account.

[0122] Additionally, the control unit 130 can select at least some of the content to provide as thumbnails on a particular page based on user information for a particular user account.

[0123] Furthermore, the control unit 130 can provide thumbnails of different contents on a particular page according to user information.

[0124] Specifically, the control unit 130 can provide thumbnails of different content according to user information (at least one of the user's age, gender, and genre preferences based on content browsing history) linked to the user account.

[0125] Furthermore, the control unit 130 can superimpose a recommendation indicator on a specific thumbnail, among the multiple thumbnails, that corresponds to the recommended content.

[0126] The control unit 130 may perform control such that a thumbnail corresponding to a specific content selected from among a plurality of contents based on user information of a specific logged-in user account includes a recommendation indicator 430.

[0127] The recommendation indicator may include guidance information indicating the reason why the recommended content was selected as the recommended content.

[0128] For example, as shown in FIG. 4(a), the control unit 130 can provide a recommendation indicator 430 including guidance information (for example, "AI recommendation") superimposed on any one 416 of a plurality of thumbnails 411 to 419.

[0129] Here, the control unit 130 can superimpose a recommendation indicator on the thumbnail 416 corresponding to a piece of content that is expected to be popular with the user account, among a plurality of pieces of content serialized on a specific serialization day.

[0130] The control unit 130 can select, as recommended content, content that is expected to be preferred by the user account, based on user information linked to the user account.

[0131] The control unit 130 can select, from among a plurality of pieces of content, a piece of content that satisfies a preset condition (criteria) as a piece of recommended content for the user account.

[0132] For example, the control unit 130 can select unviewed content that has not been viewed through a user account as recommended content for the user account, based on user information (history information) linked to the user account.

[0133] As shown in (a) of FIG. 6a, the user information 610 associated with the first user account 600a may include information about the viewed content (e.g., “The Remarried Empress,” “Freaking Love,” “The Villainess of the Empire,” and “The Salaryman Wizard”) 611-614 viewed through the first user account 600a.

[0134] The control unit 130 can identify, as a recommended content, an unviewed content (e.g., "Demon Face Battle") 516 that has not been viewed by the first user account 600a from among a plurality of contents (see symbols 511 to 519 in FIG. 5) that are serialized on a specific serialization day of the week (e.g., "Thursday").

[0135] Furthermore, as shown in (b) of FIG. 6a, the control unit 130 can superimpose a recommendation indicator 430 on a thumbnail 416 corresponding to a recommended content (e.g., "Demon Mask Battle") among a plurality of contents serialized on a specific serialized day of the week on a user terminal 200 logged in with a first user account 600a.

[0136] Meanwhile, when an item corresponding to recommended content is selected by the user terminal 200, the control unit 130 can provide, on the user terminal 200, an episode page including an episode list of episodes that make up the recommended content.

[0137] A method for superimposing a recommendation indicator on a thumbnail corresponding to a specific piece of content based on user information linked to a user account will be described in more detail below.

[0138] In the content providing service according to the present invention, the plurality of pages corresponding to different serialization days can be provided. Also, the control unit 130 can be configured so that each of the plurality of pages includes a thumbnail of any of the recommended contents recommended for a specific user account.

[0139] The control unit 130 can superimpose a recommendation indicator on a thumbnail of a first recommended content that satisfies the viewing conditions and recommendation conditions for a specific user account among a plurality of contents serialized on the first serialized day on a first page corresponding to a first serialized day among different serialized days.

[0140] In addition, on the second page corresponding to the second serialized day of the week, the control unit 130 can superimpose a recommendation indicator on a thumbnail of a second recommended content among the multiple contents serialized on the second serialized day of the week, which satisfies the viewing conditions and recommendation conditions for a specific user account.

[0141] In this case, the first recommended content and the second recommended content may be different contents.

[0142] That is, the control unit 130 can superimpose the recommendation indicator 430 on different thumbnails depending on the serialized day of the week that corresponds to a page for which there is an output request from a particular user account.

[0143] To that end, the control unit 130 can select recommended content for each serialized day in association with a particular user account based on user information associated with the particular user account.

[0144] The control unit 130 can specify unviewed content that has not been viewed in the user account, from among a plurality of contents serialized on each of the serialization days, as recommended content for each of the serialization days.

[0145] Furthermore, the control unit 130 can superimpose the recommendation indicator 430 on the thumbnail corresponding to the recommended content for a specific serialization day based on an output request for a page corresponding to a specific serialization day among a plurality of serialization days.

[0146] For example, as shown in (a) of FIG. 4, on a page 410 corresponding to a first serialization day (e.g., "Thursday"), a recommendation indicator 430 can be made to overlap a thumbnail 416 corresponding to an unviewed content ("Demon Face Battle") 516 that has not been viewed by the first user account 600a, among a plurality of contents (see symbols 511 to 519 in (a) of FIG. 5) serialized on the first serialization day.

[0147] In contrast, as shown in (b) of FIG. 4, on a page 420 corresponding to a second serialized day (e.g., "Friday"), a recommendation indicator 430 can be made to overlap a thumbnail 427 corresponding to an unviewed content ("Money Game") 527 that has not been viewed by the first user account 600a, among the multiple contents (see symbols 521 to 529 in (b) of FIG. 5) serialized on the second serialized day.

[0148] On the other hand, even if there is a request to output a page corresponding to the same serialized day of the week, the control unit 130 can overlay a recommendation indicator on a thumbnail corresponding to different content based on user information associated with each of the different user accounts.

[0149] In other words, even if there is a request to output a page related to the first serialized day of the week from the first user account and the second user account, if the unviewed content in each of the first user account and the second user account is different, the control unit 130 can overlay a recommendation indicator on a thumbnail corresponding to the different content.

[0150] Specifically, even if there is a request to output a page corresponding to the same serialized day from the first user account 600a and the second user account 600b, the control unit 130 can overlay a recommendation indicator on a thumbnail corresponding to different content based on the viewed content (or unviewed content) viewed by each of the first user account 600a and the second user account 600b.

[0151] For example, as shown in (a) of Fig. 6a, the user information 610 matched to the first user account 600a does not include a history of viewing the "Demon Face Fighting" content. That is, in the first user account 600a, the "Demon Face Fighting" content corresponds to unviewed content among a plurality of contents serialized on a specific serialization day (e.g., "Thursday").

[0152] Therefore, as shown in (b) of FIG. 6a, when there is a request from the first user account 600a to output a specific page corresponding to a specific serialization day (e.g., "Thursday"), the control unit 130 can superimpose a recommendation indicator 430 on the thumbnail 416 corresponding to the "Demon Mask Battle" content, among the multiple contents serialized on the specific serialization day, which has not been viewed by the first user account 600a.

[0153] 6b(a), the user information 620 associated with the second user account 600b includes a browsing history of the "Demon Face Fighting" content 622. That is, in the second user account 600b, the "Demon Face Fighting" content corresponds to the viewed content.

[0154] Therefore, as shown in (b) of FIG. 6b, when there is a request from the second user account 600b to output a specific page corresponding to a specific serialization day (e.g., "Thursday"), the control unit 130 can superimpose the recommendation indicator 430 on thumbnail 411 corresponding to the "Remarried Empress" content, which has no viewing history, among the multiple contents serialized on the specific serialization day, rather than on thumbnail 416 corresponding to the "Demon Mask Battle" content, which has no viewing history, among the multiple contents serialized on the specific serialization day.

[0155] In addition, when the control unit 130 receives a request to output a page related to a first serialized day from a first user account and a second user account included in a first user group among multiple user groups, the control unit 130 can overlay a recommendation indicator on the same recommended content or different recommended content based on the content browsing history of each of the first user account and the second user account.

[0156] Specifically, it is assumed that, for a first user group, a first content is most popular on a first serialized day of the week, and a second content is second most popular after the first content.

[0157] The control unit 130 can overlay a recommendation indicator on a thumbnail corresponding to the first content on a page related to a first serialized day of the week provided to the first user account based on the browsing history of the first user account satisfying the viewing conditions for the first content and the second content.

[0158] Alternatively, the control unit 130 can overlay a recommendation indicator on a thumbnail corresponding to the second content on a page related to the first serialized day provided to the second user account based on the browsing history of the second user account not satisfying the viewing conditions for the first content but satisfying the viewing conditions for the second content.

[0159] Meanwhile, when there are multiple pieces of recommendation target content that satisfy the recommendation conditions among the multiple pieces of content, the control unit 130 may determine, as the recommended content, any one of the multiple pieces of recommendation target content excluding the content that does not satisfy the viewing conditions.

[0160] As shown in FIG. 7, the storage unit 120 may store criteria information 700 regarding criteria for selecting recommended content from a plurality of contents serialized on a specific serialization day.

[0161] Such criteria information 700 may include information on a content that should be excluded from the selection of recommended content among a plurality of contents serialized on a specific serialization day. In the present invention, the criteria information 700 may also be called recommendation exclusion criteria information. In the present invention, the reference symbol 700 is attached to both the criteria information and the recommendation exclusion criteria information.

[0162] The recommendation exclusion criteria information 700 may include information indicating that the following content should be excluded from the selection of recommended content: i) content viewed in a user account 710; ii) content of interest in a user account 720; iii) content rejected for recommendation in a user account 730; iv) brand content (e.g., content including corporate promotional content) 740; v) public institution content (e.g., content including public institution promotional content) 750; vi) content prohibited for viewing by minors (or adult content, but not applicable if the user account is an adult) 760; vii) blacklist content (e.g., content classified on a blacklist) 770; viii) non-service content (e.g., content for which a content provision service is pending or has ended) 780; and ix) long-hiatus content 790.

[0163] The control unit 130 must exclude the viewed content viewed by the user account from among the plurality of contents serialized on a specific serialization day of the week, and select the recommended content from the unviewed content that has not been viewed.

[0164] Here, the control unit 130 must select recommended content from other content, excluding unviewed content, content of interest in the user account or content not recommended, branded content, public institution content, content not available for viewing by minors, blacklisted content, non-service content, and content that has been suspended for a long time.

[0165] In the present invention, among the multiple contents serialized on a specific serialization day, the contents other than the contents excluded based on the recommendation exclusion criteria information 700 can be called "candidate contents". However, for the sake of convenience, the following description will be given taking as an example a case where the "candidate contents" are "unviewed contents". Therefore, the "unviewed contents" described in the present invention can be understood as "candidate contents".

[0166] Meanwhile, the control unit 130 can select (or identify, determine) content that satisfies a specific condition as unviewed content based on user information linked to a user account.

[0167] The control unit 130 can select unviewed content based on various conditions. The various conditions can be set by at least one of the administrator of the content providing system 100 and the control unit 130.

[0168] For example, the control unit 130 may determine that content that has been viewed less than a preset number of times in a given period (eg, less than three times in six months) in a user account is unviewed content.

[0169] That is, the control unit 130 can determine that a content that has been viewed a preset number of times or more in a given period (eg, three or more times in six months) in a user account is viewed content.

[0170] For example, as shown in (b) of FIG. 6b, if there is a history of viewing the "Demon Face Battle" content 622 "once" in the second user account 600b, the control unit 130 can determine that the "Demon Face Battle" content 622 is unviewed content.

[0171] Meanwhile, when there are multiple unviewed contents in a user account among multiple contents serialized on a specific serialization day, the control unit 130 can select and identify one of the multiple unviewed contents as the recommended content.

[0172] Here, the control unit 130 may select, as recommended content, content that is expected to be of interest to the user account from among a plurality of unviewed contents, based on user information linked to the user account.

[0173] The control unit 130 may select one of a plurality of unviewed contents as a recommended content based on the age, preferences (preferred genre, favorite author, etc.) and gender of a particular user account.

[0174] For example, the control unit 130 may predict that a specific user account is interested in content viewed by other user accounts corresponding to the age of the user account, and may select the content viewed by the other user accounts as recommended content for the specific user account.

[0175] As another example, the control unit 130 can calculate points (or scores) of multiple contents serialized on a specific serialization day based on user information linked to a user account. Also, the control unit 130 can select recommended content from multiple unviewed contents based on the calculated scores. For example, the control unit 130 can select the content with the highest calculated score from the multiple unviewed contents as the recommended content.

[0176] There are various standards (methods) for calculating the scores of the multiple contents. For example, the control unit 130 can calculate the scores of the multiple contents based on the popularity, number of inquiries, ratings, reviews, and number of paid payments of the multiple contents serialized on a specific serialization day.

[0177] Meanwhile, the control unit 130 may perform control so that the recommendation indicator 430 overlapping the thumbnail of a particular content disappears if a predetermined condition is met.

[0178] There are various conditions that may cause the recommendation indicator 430 to disappear, and the various conditions may be set by at least one of an administrator and the control unit 130 of the content providing system 100.

[0179] For example, the control unit 130 can perform control so that the recommendation indicator 430 disappears from the thumbnail of a particular content when the particular content is viewed a preset number of times (or a predetermined number of times, for example, three times).

[0180] In this case, based on the disappearance of the recommendation indicator 430 from the thumbnail of a specific piece of content, the control unit 130 can superimpose the recommendation indicator 430 on the thumbnail of a piece of content different from the specific piece of content.

[0181] As an example, the control unit 130 may overlay the recommendation indicator 430 on a thumbnail of a piece of content that is expected to be of interest next to the particular piece of content in the user account, among a plurality of pieces of unviewed content.

[0182] As another example, the control unit 130 can overlay a recommendation indicator on the thumbnail of the content with the second highest calculated score (or the next highest score after the specific content) among the plurality of unviewed contents.

[0183] On the other hand, when there is no recommended content among the multiple contents serialized on a specific serialization day of the week, the control unit 130 can prevent the recommendation indicator 430 from being displayed on all of the multiple thumbnails 411 to 419 corresponding to each of the multiple contents, as shown in FIG. 8.

[0184] For example, when receiving an output request for a specific page corresponding to a specific serialized day from a user terminal 200 that is not logged in, the control unit 130 can determine that no recommended content exists. In addition, the control unit 130 can prevent the recommendation indicator 430 from being displayed on a specific page provided on a user terminal 200 that is not logged in.

[0185] In other words, when the control unit 130 receives an output request for a specific page corresponding to a specific serialized day from a user terminal where the user account is not logged in, it can prevent the recommendation indicator from overlapping with the thumbnail corresponding to the content serialized on the specific serialized day included on the specific page.

[0186] Furthermore, when there is no unviewed content by a specific user account among the plurality of contents serialized on a specific serialization day of the week, the control unit 130 can determine that no recommended content exists. In other words, when all of the plurality of contents serialized on a specific serialization day of the week have been viewed by a specific user account, the control unit 130 can prevent the recommendation indicator 430 from being displayed.

[0187] Meanwhile, the control unit 130 may display a plurality of thumbnails side by side (or aligned) on a particular page 410 corresponding to a particular serialization day of the week based on any one of a plurality of pre-set alignment criteria.

[0188] Here, the pre-set sorting criteria may be various, for example, the pre-set sorting criteria may be set based on at least one of the popularity, the rating (or score), the update time, and the number of inquiries of each of the plurality of contents serialized on a specific serialization day.

[0189] The controller 130 may sequentially arrange the thumbnails according to a priority order based on any one of a plurality of pre-set sorting criteria.

[0190] That is, the control unit 130 can sequentially arrange the thumbnails included in a particular page according to the popularity ranking of a plurality of contents related to at least one of a plurality of different popularity criteria.

[0191] For example, the control unit 130 can display thumbnails 411 of content corresponding to a first popularity ranking in a first area corresponding to the first popularity ranking. Also, the control unit 130 can display thumbnails of content corresponding to a second popularity ranking lower than the first popularity ranking in a second area corresponding to the second popularity ranking, and display thumbnails of content corresponding to a third popularity ranking lower than the second popularity ranking in a third area corresponding to the third popularity ranking.

[0192] Meanwhile, when the sorting criteria is changed, the controller 130 may re-arrange and arrange the thumbnails according to the changed sorting criteria.

[0193] In this case, the control unit 130 can overlay the recommendation indicator 430 on thumbnails corresponding to the same content even if the thumbnails are re-arranged and arranged according to the changed alignment criteria.

[0194] As shown in FIG. 9(a), the multiple thumbnails may be sorted based on a first pre-defined sorting criterion (e.g., “popularity”) 910, and a recommendation indicator 430 may be overlaid on the thumbnail 416 corresponding to the recommended content.

[0195] Also, as shown in (b) of FIG. 9, even if the first pre-set sorting criterion is changed to a second pre-set sorting criterion (e.g., “rating order”) 920 and the multiple thumbnails are re-sorted, the recommendation indicator 430 can be superimposed on the thumbnail 416 corresponding to the recommended content.

[0196] As described above, the content providing method and system according to the present invention provides an intuitive user environment in which information about content serialized on a day of the week basis can be grasped at a glance by collecting and providing information about content serialized on a specific service page.

[0197] Furthermore, the content providing method and system according to the present invention can provide users with information about popular content by providing the content serialized on a specific serialization day in order of rank.

[0198] Furthermore, the content providing method and system according to the present invention can provide a user with information about user-customized recommended content along with information about popular content by overlaying a recommendation indicator on a thumbnail corresponding to recommended content selected based on user information of a specific user account.

[0199] Furthermore, the content providing method and system according to the present invention can encourage users to use content by recommending content that is expected to be preferred by the user.

[0200] The present invention described above can be realized as computer readable codes or commands on a program recording medium, that is, the present invention can be provided in the form of a program.

[0201] The computer-readable medium includes any kind of recording device in which data read by a computer system is stored. Examples of the computer-readable medium include a hard disk drive (HDD), a solid state disk (SSD), a silicon disk drive (SDD), a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.

[0202] The computer-readable medium also includes a storage location, including a server or cloud storage location that can be accessed by a user terminal via communication, in which case the computer can download the program according to the present invention from the server or cloud storage location via wired or wireless communication.

[0203] Furthermore, in the present invention, the above-mentioned computer is a user terminal equipped with a processor, that is, a CPU (Central Processing Unit), and the type of the computer may be any.

[0204] However, the above detailed description should not be interpreted as limiting in any respect, but should be considered as illustrative. The scope of the present invention should be determined by reasonable interpretation of the claims, and all modifications within the equivalent scope of the present invention are included in the present invention. [Explanation of symbols]

[0205] 100 Contents Providing System 100a Content Server 100b AI recommendation server 110 Communications Department 120 Preservation Department 130 Control section 200 User terminals

Claims

1. A content provision method executed by a computer to provide a content provision service, comprising: receiving, from a user terminal, an output request for a specific page corresponding to a specific serialization day among a plurality of pages classified based on the serialization day of the week; A step of checking a specific user account logged in to the user terminal, and checking recommended content recommended to the specific user account from among a plurality of contents serialized on the specific serialized day of the week; providing the specific page to the user terminal, on which at least some of the plurality of contents serialized on the specific serialization day and a plurality of thumbnails corresponding to each of the recommended contents are arranged according to a predetermined sorting criterion; A method of providing content, wherein a particular thumbnail among the plurality of thumbnails that corresponds to the recommended content includes a recommendation indicator.

2. The content providing method according to claim 1 , further comprising the step of determining the recommended content that satisfies preset viewing conditions and ranking conditions from among the plurality of contents serialized on the specific serialization day of the week.

3. The recommended content that satisfies the viewing condition is The content providing method according to claim 2, wherein among the plurality of contents serialized on the specific serialized day of the week, the contents are unviewed contents that have not been viewed by the specific user account, or the contents are viewed by the specific user account less than a predetermined number of times.

4. The priority condition is: The popularity of the content is related to a popularity level in a user group, the popularity level being determined based on at least one of the user's age, gender, and genre preferences based on the user's content browsing history; The recommended content is The content providing method according to claim 3 , wherein the content is recommended to a user group to which the user of the specific user account belongs, from among the plurality of contents.

5. When a request for outputting a page related to a first serialized day of the week is received from a first user account and a second user account included in a first user group among a plurality of user groups, The content providing method according to claim 4 , wherein the same or different recommended content is recommended depending on the content browsing history of each of the first user account and the second user account.

6. Even if there is a request to output a page related to the first serialized day of the week from the first user account and the second user account, The content providing method of claim 5 , wherein if the unviewed content in the first user account and the unviewed content in the second user account are different, the recommendation indicator is superimposed on thumbnails corresponding to the different content.

7. In the first user group, a first content that is the most popular and a second content that is the second most popular after the first content are present on the first serialized day of the week; a browsing history of the first user account satisfies the browsing condition for the first content and the second content; If the browsing history of the second user account does not satisfy the browsing condition for the first content and satisfies the browsing condition for the second content, In a page related to the first serialized day provided to the first user account, the recommendation indicator is superimposed on a thumbnail corresponding to the first content; The content providing method according to claim 6 , wherein the recommendation indicator is superimposed on a thumbnail corresponding to the second content on a page relating to the first serialized day of the week provided to the second user account.

8. When a plurality of pieces of recommended content satisfy the ranking condition among the plurality of pieces of content, The content providing method according to claim 4 , further comprising the step of determining, as the recommended content, any of the plurality of pieces of recommended content, excluding any piece of content that does not satisfy the viewing condition.

9. In the content providing service, the plurality of pages corresponding to different serialization days of the week are provided, The content providing method according to claim 1 , wherein each of the plurality of pages is configured to include a thumbnail of any of the recommended content items recommended for the specific user account.

10. Among the different serialization days, In a first page corresponding to a first serialization day, a recommendation indicator is superimposed on a thumbnail of a first recommended content among a plurality of contents serialized on the first serialization day, the first recommended content satisfying a viewing condition and a ranking condition for the specific user account; On a second page corresponding to a second serialization day, a recommendation indicator is superimposed on a thumbnail of a second recommended content among the plurality of contents serialized on the second serialization day, the second recommended content satisfying a viewing condition and a ranking condition for the specific user account; The content providing method according to claim 9 , wherein the first recommended content and the second recommended content are different contents.

11. The step of providing the specific page to the user terminal includes: selecting the at least some of the content to present as a thumbnail on the particular page based on user information of the particular user account; providing thumbnails of different contents on the particular page according to the user information; The user information is The content providing method according to claim 1 , further comprising at least one of the user's age, sex, and genre preferences based on content browsing history.

12. The method of claim 1 , wherein the recommendation indicator includes guidance information indicating a reason why the recommended content is selected as the recommended content.

13. The method of claim 1 , wherein the plurality of thumbnails included in the particular page are arranged in order according to a popularity ranking of the plurality of contents associated with at least one of a plurality of different popularity criteria.

14. When an item corresponding to the recommended content is selected by the user terminal, The content providing method according to claim 1 , further comprising providing, to the user terminal, an episode page including an episode list of episodes that constitute the recommended content.

15. In the content providing system, a communication unit that receives, from a user terminal, an output request for a specific page corresponding to a specific serialization day among a plurality of pages classified based on the serialization day; a control unit that checks a specific user account logged in to the user terminal, and checks recommended content that is recommended to the specific user account from among a plurality of contents serialized on the specific serialized day of the week; The control unit is providing the specific page to the user terminal, on which a plurality of thumbnails corresponding to at least some of the plurality of contents serialized on the specific serialization day and the respective recommended contents are arranged in accordance with a predetermined sorting criterion; A content providing system, wherein a particular thumbnail among the plurality of thumbnails that corresponds to the recommended content includes a recommendation indicator.

16. A program executed by one or more processes in an electronic device and stored in a computer-readable recording medium, The program is receiving, from a user terminal, an output request for a specific page corresponding to a specific serialization day among a plurality of pages classified based on the serialization day of the week; A step of checking a specific user account logged in to the user terminal, and checking recommended content recommended to the specific user account from among a plurality of contents serialized on the specific serialized day of the week; providing, to the user terminal, the specific page on which at least a portion of the plurality of contents serialized on the specific serialization day and a plurality of thumbnails corresponding to each of the recommended contents are arranged according to a predetermined sorting criterion; A program, wherein a particular thumbnail among the plurality of thumbnails that corresponds to the recommended content includes a recommendation indicator.

Images