KR20230117851A - Method, computer device, and computer program for ordering posts on social platform - Google Patents

Abstract

A method of sorting posts on a social platform, a computer device, and a computer program are disclosed. The post sorting method includes collecting unseen posts for a following feed of a social platform; grouping the unread posts based on at least one criterion; and arranging the unread posts by group.

Description

METHOD, COMPUTER DEVICE, AND COMPUTER PROGRAM FOR ORDERING POSTS ON SOCIAL PLATFORM}

The description below relates to a technique for sorting posts on a social platform.

A social platform such as a social network service (SNS) or a messenger forms a relationship between users and supports interaction through posts.

Social platforms can provide users with information in different contexts. For example, the social platform may provide update information about a user's connection relationship, post update information, content recommendation, and various other types of information items.

For example, Korea Patent Registration No. 10-1754373 (registered on June 29, 2017) discloses a technique for managing posts using SNS.

Some of the social platforms provide a timeline type of view through which postings can be browsed. The timeline-type post display method has recently been mainly used for private communication in which rapid content update and consumption occur.

Posts in a following feed can be efficiently sorted according to a follow-based subscription relationship.

Posts included in the following feed can be sorted by grouping based on account type.

Different sorting criteria can be applied to posts in the following feed by group according to account type.

A post sorting method executed on a computer device, the computer device comprising at least one processor configured to execute computer readable instructions contained in a memory, the post sorting method comprising, by the at least one processor, social Aggregating unseen posts for the platform's following feed; grouping the unread posts by at least one criterion by the at least one processor; and sorting the unread posts by group by the at least one processor.

According to one aspect, the collecting may include processing posts that have not been consumed by a user and are posts created within a recent predetermined time as the unread posts.

According to another aspect, the grouping may include grouping the unread posts according to the type of account in which the unread posts are created.

According to another aspect, the grouping may include grouping the unread posts based on a point in time when a relationship with a user is established for an account in which the unread posts are created.

According to another aspect, the grouping may include grouping the unread posts based on an author score, which is a popularity index for an account in which the unread posts are written.

According to another aspect, the sorting may include sorting unread posts belonging to each group based on different criteria for each group.

According to another aspect, the arranging may include arranging the unread posts based on an affinity score between a user and an account in which the unread posts are written for at least one of the groups; and sorting the unread posts based on a user response score, which is a popularity index for each post, with respect to at least one other group among the groups.

According to another aspect, the sorting may include selecting and sorting at least some of unread posts of a corresponding account for each account for at least one of the groups.

According to another aspect, the sorting may include determining at least one of a sorting rank for each group and a post sorting criterion according to a weight for each type of account that the user follows.

According to another aspect, the grouping includes grouping the unread posts with posts having the same ranking based on the post ranking of each account, and the arranging includes grouping posts having the same ranking for each group. Sorting according to account ranking may be included.

Provided is a computer program stored in a computer readable recording medium to execute the post alignment method on a computer device.

A computer device comprising: at least one processor configured to execute computer readable instructions contained in a memory, wherein the at least one processor is configured to: aggregate unread posts for a following feed of a social platform; Grouping according to at least one criterion, and providing a computer device characterized in that the unread posts are sorted by group.

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 an example of a computer device according to one embodiment of the present invention.
3 is a flowchart illustrating an example of a method that a computer device according to an embodiment of the present invention can perform.
4 shows an example of a timeline service screen according to an embodiment of the present invention.
5 to 6 show an example of a method of aligning unread posts in one embodiment of the present invention.
7 is a flowchart illustrating an example of a process of calculating author scores according to an embodiment of the present invention.
8 illustrates an example of a process of calculating a click score according to an embodiment of the present invention.
9 is a flowchart illustrating an example of a process of calculating a video score according to an embodiment of the present invention.
10 illustrates an example of a method of sorting unread posts based on intimacy scores according to an embodiment of the present invention.
11 illustrates an example of a method of sorting unread posts based on user reaction scores in an embodiment of the present invention.
12 illustrates another example of a method of aligning unread posts in one 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 techniques for sorting posts in a following feed based on subscription relationships.

Embodiments including those specifically disclosed in this specification may provide a feed view (feed view) capable of consuming news following on a social platform in units of posts.

A post alignment system according to embodiments of the present invention may be implemented by at least one computer device, and a post alignment method according to embodiments of the present invention is performed through at least one computer device included in the post alignment system. It can be. At this time, a computer program according to an embodiment of the present invention may be installed and driven in the computer device, and the computer device may perform the post alignment method according to the embodiments of the present invention under the control of the driven computer program. . The above-described computer program may be combined with a computer device and stored in a computer readable recording medium to execute a post alignment method on a computer.

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 , and 140 , a plurality of servers 150 and 160 , and a network 170 . 1 is an example for explanation of the invention, and the number of electronic devices or servers is not limited as shown in FIG. 1 . In addition, the network environment of FIG. 1 only describes one example of environments applicable to the present embodiments, and the environment applicable to the present embodiments is not limited to the network environment of FIG. 1 .

The plurality of electronic devices 110, 120, 130, and 140 may be fixed terminals implemented as computer devices or mobile terminals. Examples of the plurality of electronic devices 110, 120, 130, and 140 include a smart phone, a mobile phone, a navigation device, a computer, a laptop computer, a digital broadcast terminal, a personal digital assistant (PDA), and a portable multimedia player (PMP). ), and tablet PCs. As an example, FIG. 1 shows the shape of a smartphone as an example of the electronic device 110, but in the embodiments of the present invention, the electronic device 110 substantially uses a wireless or wired communication method to transmit other information via the network 170. It may refer to one of various physical computer devices capable of communicating with the electronic devices 120 , 130 , and 140 and/or the servers 150 and 160 .

The communication method is not limited, and short-distance wireless communication between devices as well as a communication method utilizing a communication network (eg, a mobile communication network, a wired Internet, a wireless Internet, and a broadcasting network) that the network 170 may include may also be included. 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). , one or more arbitrary networks such as the Internet. In addition, the network 170 may include any one or more of network topologies including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree or a hierarchical network, and the like. Not limited.

Each of the servers 150 and 160 communicates with the plurality of electronic devices 110, 120, 130, and 140 through the network 170 to provide commands, codes, files, contents, services, and the like, or a computer device or a plurality of computers. Can be implemented in devices. For example, the server 150 may be a system that provides a service (eg, a timeline service, etc.) to a plurality of electronic devices 110, 120, 130, and 140 connected through the network 170.

2 is a block diagram illustrating an example of a computer device according to one embodiment of the present invention. Each of the plurality of electronic devices 110 , 120 , 130 , and 140 or each of the servers 150 and 160 described above may be implemented by the computer device 200 shown in FIG. 2 .

As shown in FIG. 2 , the computer device 200 may include a memory 210, a processor 220, a communication interface 230, and an input/output interface 240. The memory 210 is a computer-readable recording medium and may include a random access memory (RAM), a read only memory (ROM), and a permanent mass storage device such as a disk drive. Here, a non-perishable mass storage device such as a ROM and a disk drive may be included in the computer device 200 as a separate permanent storage device distinct from the memory 210 . Also, an operating system and at least one program code may be stored in the memory 210 . These software components may be loaded into the memory 210 from a computer-readable recording medium separate from the memory 210 . 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, software components may be loaded into the memory 210 through the communication interface 230 rather than a computer-readable recording medium. For example, software components may be loaded into memory 210 of computer device 200 based on a computer program installed by files received over network 170 .

The processor 220 may be configured to process commands of a computer program by performing basic arithmetic, logic, and input/output operations. Instructions may be provided to processor 220 by memory 210 or communication interface 230 . For example, processor 220 may be configured to execute received instructions according to program codes stored in a recording device such as memory 210 .

The communication interface 230 may provide a function for the computer device 200 to communicate with other devices (eg, storage devices described above) through the network 170 . For example, a request, command, data, file, etc. generated according to a program code stored in a recording device such as the memory 210 by the processor 220 of the computer device 200 is controlled by the communication interface 230 to the network ( 170) to other devices. Conversely, signals, commands, data, files, etc. from other devices may be received by the computer device 200 through the communication interface 230 of the computer device 200 via the network 170 . Signals, commands, data, etc. received through the communication interface 230 may be transferred to the processor 220 or the memory 210, and files, etc. may be stored as storage media that the computer device 200 may further include (described above). permanent storage).

The input/output interface 240 may be a means for interface with the input/output device 250 . For example, the input device may include a device such as a microphone, keyboard, or mouse, and the output device may include a device such as a display or speaker. As another example, the input/output interface 240 may be a means for interface with a device in which functions for input and output are integrated into one, such as a touch screen. The input/output device 250 and the computer device 200 may be configured as one device.

Also, in other embodiments, computer device 200 may include fewer or more elements than those of FIG. 2 . However, there is no need to clearly show most of the prior art components. For example, the computer device 200 may be implemented to include at least some of the aforementioned input/output devices 250 or may further include other components such as a transceiver and a database.

Hereinafter, specific embodiments of a method and apparatus for sorting posts on a social platform will be described.

The present embodiments may provide a feed view through which users can consume the news they follow in units of posts, and a post sorting criterion for improving the quality of such following feeds may be applied.

In this specification, a timeline service is a kind of relationship-based community space on the Internet, such as a messenger, and refers to a social platform that provides a view of a post in the form of a timeline.

It is not limited to the timeline service, and can be expanded and applied to any community space that can communicate through various communication functions.

The computer device 200 according to the present embodiment may provide a timeline service to clients through a dedicated application installed on the client or access to a web/mobile site related to the computer device 200 . A computer-implemented post alignment system may be configured in the computer device 200 . For example, the post sorting system may be implemented in the form of a program that operates independently, or may be configured in the form of an in-app of a specific application to be operated on the specific application.

The processor 220 of the computer device 200 may be implemented as a component for performing the following post alignment method. Depending on embodiments, components of the processor 220 may be selectively included in or excluded from the processor 220 . Also, components of the processor 220 may be separated or merged to express functions of the processor 220 according to embodiments.

The processor 220 and components of the processor 220 may control the computer device 200 to perform steps included in the following post alignment method. For example, the processor 220 and components of the processor 220 may be implemented to execute instructions according to an operating system code and at least one program code included in the memory 210 .

Here, elements of the processor 220 may be expressions of different functions performed by the processor 220 according to instructions provided by program codes stored in the computer device 200 .

The processor 220 may read necessary commands from the memory 210 in which commands related to controlling the computer device 200 are loaded. In this case, the read command may include a command for controlling the processor 220 to execute steps to be described later.

Steps included in the post sorting method to be described later may be performed in an order different from the illustrated order, and some of the steps may be omitted or additional processes may be further included.

Steps included in the post sorting method may be performed, for example, in a client in which a messenger is installed, and may also be performed in the server 150 according to embodiments.

3 is a flowchart illustrating an example of a method that a computer device according to an embodiment of the present invention can perform.

Referring to FIG. 3 , in step S310, the processor 220 is updated as a post of a following account, that is, an account for which a follow-based subscription relationship is set with the user, and a new post the user has not read (hereinafter referred to as 'unread post'). unseen post)') can be collected. The account on the social platform may include a general account corresponding to a personal account, as well as an official account, a promoted account, and the like. Here, the official account may refer to an account for service work or customer management of a company, such as a brand, an artist, or various B2C. A promotion account means a personal account for which a kind of contract has been concluded with a social platform, and may include, for example, an influencer account having a certain number of followers or more. The processor 220 may process a post created within a recent predetermined time (eg, 48 hours) targeting the user's following account and yet not consumed by the user as an unread post of the user. A post that does not satisfy the conditions for post writing time and user consumption history may be processed as a post already consumed by the user, that is, a seen post.

In step S320, the processor 220 may group the unread posts collected in step S310 according to account types. Processor 220 may classify unread posts based on the type of account in which the post was created. For example, the processor 220 may classify unread posts included in the following feed into a general account post group, an official account post group, a promotion account post group, and the like. At this time, the processor 220 assigns at least one of the post groups for unread posts to a post group of an account for which a relationship with the user (friend relationship or subscription relationship) has been established within a certain period of time recently and a post group for other accounts that has a long relationship with the user. can be reclassified. Depending on the embodiment, some post groups may be reclassified using an author score, which is a popularity index for each account, in addition to the time of establishing a relationship. For example, post groups of official accounts can be divided into popular groups and other groups based on author scores.

In step S330, the processor 220 may expose unread posts to a higher rank than read posts in providing a following feed consisting of unread posts and read posts to the user. In particular, in the case of unread posts, step S320 It can be displayed by sorting by grouped group in . The processor 220 may apply a predetermined sorting order and post sorting criterion for each post group. In other words, the processor 220 may sort the post groups in a predetermined order and sort the unread posts in each group according to a post sort criterion for each group. For example, the processor 220 may sort unread posts in the order of a general account post group, an official account post group, and a promotional account post group. At this time, the post groups of general accounts can be sorted based on the affinity score for each account, and the post groups of official accounts and post groups of promotional accounts are based on the user response score, which is a popularity index for each post. can be sorted by

Depending on the embodiment, at least one of a sorting order for each post group and a post sorting criterion may be dynamically determined based on the weight of each account type with respect to the user's following account. For example, in the case of a user whose official account accounts for the highest proportion among following accounts, the post group of the official account may be exposed at the top in the user's following feed. In addition, among the user's following accounts, if the official account is the largest and the general account is the next largest, the sorting standard using the affinity score is applied to the post group of the official account with the largest proportion, and the general account with the second largest proportion after the official account is applied. For post groups, sorting criteria using author scores can be applied. Accordingly, unread messages included in the following feed may be sorted according to different criteria according to the proportion of each type of account that the user follows.

4 shows an example of a timeline service screen according to an embodiment of the present invention.

Referring to FIG. 4 , the timeline service screen 400 may include a relationship-based subscription post 411 and a following feed tab 410 for providing posts of accounts that a user follows.

The processor 220 activates the following feed tab 410 as a landing page when entering the timeline service screen 400 when there is a new post updated in the following feed based on the time of the user's timeline entry request. Thus, the subscription post 411 can be displayed through the following feed tab 410 .

The following feed tab 410 may include unread posts, which are new posts that the user has not read yet, and read posts, which are posts already consumed by the user, as subscription posts 411 .

5 to 6 show an example of a method of aligning unread posts in one embodiment of the present invention.

5, the processor 220 displays the unread post group 510 and the unread post group 520 corresponding to the subscription post 411 through the following feed tab 410, but the unread post group 510 can be sorted higher than the read post group 520.

Posts included in the read post group 520 may be sorted in the most recent order according to post creation time, and the unread post group 510 is based on a separate criterion described below as a criterion different from the read post group 520. can be sorted

In other words, if there is a new post in the following feed at the time of entering the timeline service screen 400, the processor 220 may directly land the following feed tab 410 to easily access the new post and show the new post first.

In the present embodiments, the unread post group 510 can be sorted in an efficient manner so that posts with a close relationship with the user and posts with high value as consumption content are shown first, and posts of a specific account are not spread over the top.

Referring to FIG. 6 , as one of the methods for effectively sorting unread posts, the processor 220 classifies an unread post group 510 according to an account type into a post group of general accounts (hereinafter, referred to as a 'first group') ( 610) and post groups 620 of official accounts.

In this case, the processor 220 may classify the post group 620 of the official account into a plurality of subgroups based on the time point of establishing a relationship with the user. For example, the processor 220 assigns the post group 620 of an official account to the post group of an account for which a relationship with a user (friend relationship or subscription relationship) has recently been established within a certain period of time (eg, 48 hours) (hereinafter, It can be classified into a 'second group') 621 and a post group (hereinafter referred to as a third group) 622 of the remaining accounts for which a certain period of time has elapsed. As another example, the processor 220 classifies the post group 620 of the official account into a second group 621, which is a popular upper group, and a third group 622, which is the remaining group, based on the author score, which is a popularity indicator of each account. can be divided into In other words, the processor 220 may classify the post group 620 of the official account into a group having a high ranking according to the score of the author or having a recent relationship with the user, and the other groups.

In short, the processor 220 may group the unread post group 510 for the user's following account into a first group 610 , a second group 621 , and a third group 622 .

The processor 220 sorts the first group 610, which is a post group of general accounts, among the US post groups 510 at the top, and classifies the post groups 620 of official accounts into the second group 621 and the third group 622. ) can be sorted sequentially.

The processor 220 not only sorts the first group 610, the second group 621, and the third group 622 in a predetermined order, but also considers the proportion of each type of account that the user follows, The sort order of the group 610 , the second group 621 , and the third group 622 may be determined.

The processor 220 may sort posts belonging to the first group 610 , the second group 621 , and the third group 622 based on different standards.

For example, the processor 220 may sort the posts included in the first group 610, which is a post group of general accounts, based on the intimacy score between the user and each account, and the post group 620 of the official account. Posts included in the second group 621 and the third group 622 may be sorted based on a user response score, which is a popularity index for each post.

7 is a flowchart illustrating an example of a process of calculating author scores according to an embodiment of the present invention.

In this embodiment, the author score may be used as a criterion for classifying post groups.

As an example, the process of FIG. 7 may be included in the post alignment method described with reference to FIG. 3 .

Referring to FIG. 7 , in step S701, the processor 220 may calculate a follower score for the account. The processor 220 may calculate an increase or decrease in followers for an account as a size. At this time, the processor 220 may determine the degree of follower increase or decrease in a cycle of a predetermined period. For example, processor 220 may calculate a follower score for an account on a weekly basis. In addition, the processor 220 may calculate the follower score after the point in time when the number of followers of the account is equal to or greater than a predetermined number. A default score (eg, 0) is applied without a separate score calculation for accounts with less than a certain number of followers, and the follower score is compared with the previous number of followers at regular intervals from the point when the number of followers accumulates above a certain number. can be calculated.

In step S702, the processor 220 may calculate a user response score for each post owned by the account. Posts can be created and registered with various types of content, such as text, image, video, and audio. The processor 220 may collect logs for posts and score user responses based on the collected logs.

In particular, the processor 220 may calculate a user response score by adding a click score obtained by scoring click logs input as user responses and a video score obtained by scoring video consumption time of a video post. . In this case, the processor 220 may assign a higher weight to one of the click score and the video score than the other. For example, you can assign a weight of 1 to the video score and a weight of 2 to the click score.

In step S703, the processor 220 may calculate an author score by adding the follower score of the account and the user response score. In this case, the processor 220 may assign a higher weight to any one of the follower score and the user response score than the other one. For example, a weight of 1 may be assigned to a follower score and a weight of 2 may be assigned to a user response score.

Since the user response score is the sum of the click score and the video score, accounts without video posts have relatively lower author scores than accounts with video posts.

8 illustrates an example of a process of calculating a click score according to an embodiment of the present invention.

The processor 220 may collect click logs for posts owned by each account, and may calculate a click score by scoring click logs collected during a predetermined period periodically.

The click log may include a click type representing an actual reaction and a click type representing interest. The click score can be calculated by giving a fixed score for each click type.

Referring to FIG. 8 , scores 820 for each click type 810 are defined in advance, and the processor 220 accumulates corresponding scores 820 for each click type 810 included in the click log. A click score can be calculated using

The click type 810 can be classified into a positive type with an added score and a negative type with a subtracted score. For example, the history of entering the comment screen, the history of entering comments, the history of entering likes, the history of entering the profile screen, the history of viewing or saving content such as videos or images attached to posts, and the history of sharing posts. Scores (820) can be added to the history and the history of entering the thumbnail screen, the history of canceling likes, the history of deleting comments, the history of reporting accounts or posts, the history of hiding accounts or posts, etc. A silver score 820 may be subtracted. For example, the subtracted score is assigned a higher number than the added score, and thus the cumulative score may significantly decrease when the subtracted score is received. Here, the score 820 for each click type 810 is only exemplary, and may be changed and operated.

9 is a flowchart illustrating an example of a process of calculating a video score according to an embodiment of the present invention.

Referring to FIG. 9 , in step S901, the processor 220 may collect logs for video posts among posts owned by the account. At this time, the processor 220 may collect the video consumption log to score the time the video is consumed by people, and in particular, the video consumption time for the video post having a play time (video length) equal to or longer than the first time T1. Only logs longer than this second time period (T2, T2≤T1) may be collected. For example, a log with a video consumption time of 3 seconds or more can be used for a video post with a playback time of 3 seconds or more to exclude logs that are automatically played simultaneously with exposure.

In step S902, the processor 220 may calculate a video consumption ratio and a video duration contribution ratio of the account based on the log of video posts of the account.

When calculating an account's video score, it is necessary to reflect the account's video consumption rate. The video consumption ratio is the ratio of actual video playback by people, which means the ratio of the time people actually consume the video to the video playback time. The processor 220 may calculate a video consumption rate for each video log, and may use an average of the video consumption rates calculated for all video logs as a final value.

Accounts on social platforms include author-type accounts that write only short-format video posts of less than a certain length, author-type accounts that write only long-format video posts that are longer than a certain length, and short-format videos. It can be categorized as an author-type account that writes both posts and long-format video posts.

When calculating the video score of an account, it is necessary to reflect the contribution in terms of video duration according to the type of author of the account. The video duration attribution ratio is the ratio of the amount of video time people spend on videos from a specific account over a period of time to the amount of video time people spend on videos from all accounts over a period of time (e.g., a month). do. Considering only the video consumption time itself, long format video has a disadvantage. Therefore, the video score can be calculated by considering the video duration contribution ratio, which is the ratio of the total video consumption time of one account to the total video consumption time of all accounts.

Author-type accounts that have both short and long format video posts have a higher video duration contribution than other accounts, and accounts that post a lot of video posts, both short and long, are more active. It can be said that it is a popular account.

The processor 220 may obtain a video score in which an even score is reflected by considering the author type of the account through the video duration contribution ratio.

In step S903, the processor 220 may calculate the video score of the account by using the account's video consumption ratio and video duration contribution ratio. Processor 220 may calculate a video score by multiplying the account's video consumption rate by the video duration contribution rate, adding together the maximum video score to align the video score with units of the other scores (followers score and click score). can be multiplied by Additionally, the processor 220 may apply a final value obtained by adding a predetermined value to the video duration contribution ratio as the video duration contribution ratio. If there are many accounts whose video duration contribution is less than 1%, a certain value (eg, 1) can be added when calculating the score to prevent the video duration contribution ratio from approaching 0.

Accordingly, the processor 220 may calculate the author score of the account by summing the follower score, click score, and video score of the account. In this case, the processor 220 may apply scaling, for example, robust scaling, to match the unit of size between scores.

The above author scores can be used in ranking logic applicable to social platforms, and can be used, for example, in the process of grouping unread posts (S320). It can be divided into a second group 621 and a third group 622.

10 illustrates an example of a method of sorting unread posts based on intimacy scores according to an embodiment of the present invention.

In this embodiment, the intimacy score may be used as a criterion for sorting unread posts.

As an example, the process of FIG. 10 may be included in the post alignment method described with reference to FIG. 3 .

Referring to FIG. 10 , in step S1001, the processor 220 may calculate an intimacy score with a user for a general account among the user's following accounts. The intimacy score represents intimacy between a general account and a user as a numerical value, and can be divided into intimacy within the timeline service (timeline intimacy) and intimacy within the chatting service (chatting intimacy). In this case, the processor 220 may calculate the user's timeline intimacy with the general account by using log data generated in the timeline service for a recent predetermined period of time (eg, two weeks). As an example, the user's timeline intimacy with the general account may utilize the user response score calculated in the method described in the above process (S502). Further, the processor 220 may calculate the user's chatting intimacy with the general account by using log data generated in the chatting service for a recent period of time (eg, 2 weeks). For example, the processor 220 determines chat intimacy by using the number or frequency of messages exchanged through a messenger chat room, the type of messages frequently exchanged, the last message exchanged time, the number of friends corresponding to a common network, and the like. can be calculated

In step S1002, the processor 220 may sort post groups of general accounts among unread posts of the user based on intimacy scores. In other words, the processor 220 may sort and expose the unread posts included in the first group 610, which is a post group of general accounts, from high to low intimacy scores.

The intimacy score described above can be used in ranking logic applicable to social platforms. For example, it can be used in the process of sorting unread posts (S330). You can sort by .

11 illustrates an example of a method of sorting unread posts based on user reaction scores in an embodiment of the present invention.

The processor 220 may sort unread posts of accounts corresponding to some types of following accounts of the user based on user response scores.

For example, referring to FIG. 11 , the processor 220 may select and display only one post for each account in arranging post groups 620 of official accounts followed by the user.

The processor 220 applies rankings to the post groups 620 of official accounts according to the time of establishing the relationship or the score of the author, and at this time, only one post with the highest user response score among the unread posts of the corresponding account can be shown for each account. .

The processor 220 applies a method of sorting only one post with the highest user response score for each account according to the account ranking in the case of the second group 621 among the post groups 620 of official accounts, while the third group In the case of 622, a method of sorting all posts included in the third group 622 based on the user response score regardless of the account ranking may be applied.

In this embodiment, after grouping unread posts of accounts that a user follows according to account types, the unread posts of each group may be sorted according to a sorting rank for each account type and a post sorting criterion.

Depending on the embodiment, all unread posts may be sorted by applying a common criterion regardless of the account type.

12 illustrates another example of a method of aligning unread posts in one embodiment of the present invention.

The processor 220 may utilize the intimacy score as a criterion for sorting the unread posts of the following feed regardless of the account type.

The processor 220 may sort the read post group 520 in the most recent order according to the post writing time, and sort the unread post group 510 exposed higher than the read post group 520 based on the closeness score. there is.

To this end, the processor 220 may first determine rankings according to intimacy scores for all accounts followed by the user, and may determine rankings for all posts owned by each account according to user reaction scores.

Next, as shown in FIG. 12, the processor 220 sorts the unread post group 510 into a plurality of groups 1210 and 1220 in which posts of the same rank are grouped between accounts by using both the account ranking and the post ranking. can In other words, the processor 220 divides the unread post group 510 into a first unread post group 1210 in which first-ranked posts of each account are sorted in order of account ranking, and second-ranked posts of each account are sorted in order of account ranking. It can be shown in the order of the second unread post group 1220 and the like.

Accordingly, the processor 220 may sort the unread post group 510 of the following feed by applying the account ranking and the post ranking regardless of the account type.

As such, according to the embodiments of the present invention, posts with a close relationship with the user and posts with high value as consumption content are preferentially exposed at the top, and a more efficient sorting logic of the following feed Unread posts can be sorted.

The devices described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, devices and components described in the embodiments 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 PLU (programmable logic unit). logic unit), microprocessor, or any other device capable of executing and responding to instructions. The processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. You can command the device. The software and/or data may be embodied in any tangible machine, component, physical device, computer storage medium or device to be interpreted by or to provide instructions or data to a processing device. there is. The software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable 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 on a computer readable medium. In this case, the medium may continuously store a program executable by a computer or temporarily store the program for execution or download. In addition, the medium may be various recording means or storage means in the form of a single or combined hardware, but is not limited to a medium directly connected to a certain computer system, and may be distributed on a network. Examples of the medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROM and DVD, magneto-optical media such as floptical disks, and ROM, RAM, flash memory, etc. configured to store program instructions. In addition, examples of other media include recording media or storage media managed by an app store that distributes applications, a site that supplies or distributes various other software, and a server.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

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

Claims (20)

In the post sorting method executed on a computer device,
The computer device includes at least one processor configured to execute computer readable instructions contained in a memory;
The post sorting method,
aggregating, by the at least one processor, unseen posts for a following feed of a social platform;
grouping the unread posts by at least one criterion by the at least one processor; and
Sorting, by the at least one processor, the unread posts into groups;
A post sorting method comprising a. According to claim 1,
The gathering step is
Processing a post that has not been consumed by a user and is a post that has been created within a recent period of time as the unread post
A post sorting method comprising a. According to claim 1,
In the grouping step,
Grouping the unread posts according to the type of account in which the unread posts are created.
A post sorting method comprising a. According to claim 1,
In the grouping step,
Grouping the unread posts based on a point in time when a relationship with a user is established for an account in which the unread posts are created.
A post sorting method comprising a. According to claim 1,
In the grouping step,
Grouping the unread posts based on an author score, which is a popularity index for an account in which the unread posts are created.
A post sorting method comprising a. According to claim 1,
The sorting step is
Sorting unread posts belonging to each group based on different criteria for each group
A post sorting method comprising a. According to claim 1,
The sorting step is
sorting the unread posts based on an affinity score between an account and a user in which the unread posts are created for at least one of the groups; and
Sorting the unread posts based on a user response score, which is a popularity index for each post, with respect to at least one other group among the groups.
A post sorting method comprising a. According to claim 1,
The sorting step is
Selecting and sorting at least some of the unread posts of the corresponding account for each account in at least one of the groups
A post sorting method comprising a. According to claim 1,
The sorting step is
Determining at least one of the sorting rank for each group and the post sorting criterion according to the proportion of each type of account that the user follows
A post sorting method comprising a. According to claim 1,
In the grouping step,
Grouping the unread posts with posts of the same rank based on the post ranking of each account
including,
The sorting step is
Sorting posts of the same rank for each group according to account ranking
A post sorting method comprising a. A computer program stored in a computer readable recording medium to execute the post alignment method according to any one of claims 1 to 10 in a computer device. In a computer device,
at least one processor configured to execute computer readable instructions contained in memory;
including,
The at least one processor,
Aggregate unread posts for following feeds on social platforms;
Grouping the unread posts by at least one criterion,
Sort the unread posts by group
Characterized by a computer device. According to claim 12,
The at least one processor,
Grouping the unread posts according to the type of account for which the unread posts were created.
Characterized by a computer device. According to claim 12,
The at least one processor,
Grouping the unread posts based on when a relationship with a user is established for an account in which the unread posts are created
Characterized by a computer device. According to claim 12,
The at least one processor,
Grouping the unread posts based on an author score, which is a popularity index for an account in which the unread posts are written.
Characterized by a computer device. According to claim 12,
The at least one processor,
Sorting unread posts belonging to each group based on different criteria for each group
Characterized by a computer device. According to claim 12,
The at least one processor,
Sort the unread posts based on an intimacy score between an account and a user in which the unread posts are created for at least one group among the groups;
Sort the unread posts based on a user reaction score, which is a popularity index for each post, with respect to at least one other group among the groups.
Characterized by a computer device. According to claim 12,
The at least one processor,
Selecting and sorting at least some of the unread posts of the corresponding account for each account for at least one of the groups
Characterized by a computer device. According to claim 12,
The at least one processor,
Determining at least one of the sorting rank for each group and the post sorting criterion according to the proportion of each type of account that the user follows
Characterized by a computer device. According to claim 12,
The at least one processor,
Based on the post ranking of each account, the unread posts are grouped with posts of the same ranking,
Arranging posts of the same rank for each group according to account ranking
Characterized by a computer device.

Images