KR102488807B1 - Method for calculating reward for educational content according to user usage analysis - Google Patents

Abstract

According to an embodiment of the present invention, a method for calculating a reward can comprise: a step of determining if a profit creation condition on each creator and each target educational content is satisfied; a step of selecting a reward grade of a creator in accordance with the number of users who have acquired subscription information on the creator; a step of calculating a first reward parameter on the target educational content based on a profit allocation ratio set in accordance with the reward grade; a step of calculating a second reward parameter based on shared information on the target educational content; a step of calculating a third reward parameter based on the time a user stays on the content when accessing the target educational content; and a step of calculating a final reward for the target educational content based on the first reward parameter, the second reward parameter, and the third reward parameter. Therefore, a user can be allowed to create the user's desired content.

Description

Compensation calculation method for educational content according to user usage analysis {METHOD FOR CALCULATING REWARD FOR EDUCATIONAL CONTENT ACCORDING TO USER USAGE ANALYSIS}

The technical idea of the present disclosure relates to a method for calculating compensation for educational content, and more particularly, to a method for calculating compensation for educational content according to user usage analysis.

In general, educational contents have been progressed in such a way that works produced by educators, researchers, or authors are provided to students, and students learn the educational contents. At this time, students had no choice but to select an educator, researcher, or author, and limited the content by consuming only the works produced by the selected person. From the student's point of view, in order to maximize their choice, they will devise various means in the direction of easily accessing educational contents provided online.

As part of this, the online platform provides a service that provides students with contents produced by mentors, but there is no way to calculate compensation so that mentors can actively produce contents.

The problem to be solved by the technical idea of the present disclosure is to provide a method for calculating compensation for actively providing educational content to creators who produce educational content.

Compensation calculation method according to an embodiment of the present disclosure includes determining whether a condition for generating revenue for each creator and the target educational content is satisfied, and rewarding the creator according to the number of users who have obtained subscription information for the creator. Calculating a grade, calculating a first reward parameter for the target educational content based on a distribution revenue ratio set according to the reward grade, calculating a second reward parameter based on shared information on the target educational content calculating a third compensation parameter based on a content sojourn time of a user accessing the target educational content, and calculating the compensation parameter based on the first compensation parameter, the second compensation parameter, and the third compensation parameter. Calculating a final reward for the target educational content may be included.

Determining whether the monetization condition is satisfied according to an embodiment includes determining whether the number of users who have obtained link information about the creator and the number and content of content uploaded by the creator satisfy the first monetization condition. and determining whether the target educational content satisfies a second revenue generation condition based on the number of views and feedback information of the target educational content.

Calculating the first compensation parameter according to an embodiment may include calculating the first compensation parameter by multiplying at least one of hit number information and feedback information of the target educational content by the distribution revenue ratio. .

Calculating the first compensation parameter according to an embodiment may include obtaining a first number of times that a system internal link for the target educational content is shared inside the system, and a system external link for the target educational content is a system. The method may include obtaining a second number of shares shared externally, and calculating the second compensation parameter by assigning a higher weight to the second number of shares than the first number of shares.

In the step of calculating the third compensation parameter according to an embodiment, when a plurality of users access the target educational content, the third compensation parameter is obtained by summing the contents sojourn time of each user for the target educational content. Calculation steps may be included.

Calculating the third compensation parameter according to an embodiment may include excluding users for whom user manipulation is not input after a threshold time period among the plurality of users from users accessing the target educational content.

Calculating the final compensation according to an embodiment,

and calculating the final reward by applying weights set differently according to the type of educational content to the first reward parameter, the second reward parameter, and the third reward parameter.

The compensation calculation method according to an embodiment of the present disclosure may induce creators to actively produce educational contents by calculating compensation for target educational contents according to user use analysis. In addition, as a compensation calculation method based on user usage analysis, it is possible to enable creators to produce content desired by users by reflecting feedback and communication between creators and users.

Effects obtainable in the exemplary embodiments of the present disclosure are not limited to the effects mentioned above, and other effects not mentioned are common knowledge in the art to which exemplary embodiments of the present disclosure belong from the following description. can be clearly derived and understood by those who have That is, unintended effects according to the exemplary embodiments of the present disclosure may also be derived by those skilled in the art from the exemplary embodiments of the present disclosure.

1 is a flowchart illustrating a compensation calculation method according to an embodiment of the present disclosure.
2 is an application driving screen displaying elements required for a profit generation condition according to an embodiment.
3 is a flowchart illustrating a compensation parameter calculation method according to an embodiment.
4 is a table showing reward grades according to an embodiment.
5 is an application driving screen displaying a method for generating system internal and external shared information according to an embodiment.
6 is a flowchart illustrating a method for calculating a content sojourn time according to an exemplary embodiment.

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

1 is a flowchart illustrating a compensation calculation method according to an embodiment of the present disclosure.

Referring to FIG. 1 , the method for calculating compensation for educational content according to the present disclosure may be calculated by an electronic device equipped with a processor. The electronic device may include a processor and a memory, the processor may perform a series of arithmetic processes for calculating compensation, and the memory may at least temporarily store data for calculating compensation.

The electronic device may be any one of a terminal device, a user device, a personal computer (PC), a personal computer, and a server, and the server may perform a task or information requested by the user terminal and provide data to the user terminal. An electronic device according to an embodiment of the present disclosure may calculate a reward for target educational content and provide the calculated reward to a user device of a creator. In addition, the electronic device provides the calculated compensation to the manager, so that the manager can pay the compensation to the creator as an incentive.

The processor may control the overall operation of the electronic device, and as an example, the processor may be a central processing unit (CPU). A processor may include one core (Single Core) or may include a plurality of cores (Multi-Core). A processor may process or execute RAM and/or programs and/or data stored in memory. For example, a processor may control various functions of an electronic device by executing programs stored in a memory.

The electronic device of the present disclosure may calculate final compensation by determining whether the target educational content and the creator who produced the target educational content satisfy the revenue generating condition, and calculating a reward parameter if the revenue generating condition is satisfied. The target educational content may be content subject to calculation for calculating compensation, and the electronic device may calculate compensation for the target educational content based on data stored for the target educational content and the creator. A creator is a subject who produces content and may be referred to as a mentor.

In step S110, the electronic device may determine whether the target educational content and the creator who produced the target educational content satisfy a condition for generating revenue. According to an embodiment, the electronic device may determine whether the number of users who have obtained link information and the number and content of contents uploaded by creators satisfy a first revenue generation condition. The first revenue generation condition may be a criterion for determining whether a corresponding creator is a creator eligible for compensation. The electronic device may determine whether the target educational content satisfies the second revenue generation condition based on the number of hits information and the feedback information of the target educational content. The second revenue generating condition may be a criterion for determining whether the corresponding educational content can be rewarded educational content.

In step S120, if the target educational content satisfies the revenue generation condition, the electronic device may calculate the creator's reward level. According to an embodiment, the electronic device may obtain a creator's compensation level in advance and store it in memory, and the processor may load a compensation level corresponding to the creator from the memory, but the electronic device of the present disclosure is not limited thereto, A reward level may be calculated in response to a case in which the target educational content satisfies the condition for generating revenue.

The electronic device may calculate a reward level according to the number of users who have obtained subscription information about the creator. Subscription information about the creator may be information set by the user to receive content whenever the creator's educational content is uploaded.

In step S130, the electronic device may calculate a plurality of reward parameters based on the reward level and information related to the target educational content. The compensation parameter may be data classified according to an applied weight. The compensation parameters include a first compensation parameter calculated according to a reward level, a second compensation parameter calculated based on shared information generated for educational content, and a third compensation calculated according to a user's sojourn time in educational content. Can contain parameters.

In step S140, the electronic device may calculate a final compensation based on a plurality of compensation parameters. The electronic device may calculate final compensation by summing or multiplying a plurality of compensation parameters, and may calculate final compensation by applying a weight to each compensation parameter.

2 is an application driving screen displaying elements required for profit generating conditions according to an exemplary embodiment.

Referring to FIG. 2 , the electronic device may manage educational contents uploaded by creators, and users may search for creators or access additional educational contents uploaded by creators through educational contents. The electronic device may manage the number of contents uploaded for each creator and the number of users subscribing to the creator. According to Figure 2, “AAA” creators have uploaded 33 educational contents, 1053 users have subscribed to the creator, and “no need to summarize non-literature (2)” and “need to summarize non-literature” as educational contents There is no” may be uploaded.

According to an embodiment, the electronic device may distinguish whether the user is a creator eligible for compensation based on the number and content of content uploaded by the creator and the number of users subscribing to the creator. Illustratively, the condition that the number of educational contents including photos and text is 5 or more and the number of users subscribed to the creator is 100 or more may be the first revenue generation condition, and the electronic device may set the first revenue generation condition. Satisfied creators can be classified as creators who can receive rewards.

The electronic device may discriminate whether the educational content is the educational content for which a reward is to be calculated based on information on the number of views of the educational content and feedback information. The feedback information may be user response information to the educational content, and may be the number of users who gave feedback as “Like”. The condition that the number of views of the target educational content is 3,000 or more and the number of users who feedback with “Like” is 500 or more may be the condition for generating the second revenue, and the electronic device compensates for the educational content that satisfies the condition for generating the second revenue. can be classified as educational content that can be given.

3 is a flowchart illustrating a compensation parameter calculation method according to an embodiment.

Referring to FIG. 3 , the electronic device may calculate a first compensation parameter, a second compensation parameter, and a third compensation parameter for target educational content that satisfies the first revenue generation condition and the second revenue generation condition.

In step S131, the electronic device may calculate a first compensation parameter according to the creator's compensation level. The creator's reward level will be described later in FIG. 4 . The creator's reward level may be calculated according to the number of users who subscribe to the creator. The electronic device may calculate the distribution revenue ratio mapped according to the reward level as the first reward parameter.

In step S132, the electronic device may calculate a second compensation parameter based on the sharing information of the target educational content. The sharing information of the target educational content may be the number of times a user creates link information for sharing the content inside or outside the system, or the number of times the link information is shared inside or outside the system.

According to an embodiment, the electronic device may obtain the first number of times the target educational content is shared inside the system and the second number of times it is shared outside the system, and apply a weight higher than the first number to the second number to obtain the second number. 2 compensation parameters can be calculated.

In step S133, the electronic device may calculate a third compensation parameter based on the time the user stays in the content. The stay time may be a time interval from the time the user accesses the target educational content to the time the user releases the access. A method of calculating the third compensation parameter based on the stay time of the electronic device will be described later with reference to FIG. 6 .

In step S134, the electronic device may calculate a final reward for the target educational content based on the first reward parameter, the second reward parameter, and the third reward parameter. According to an embodiment, the electronic device may calculate final compensation by applying weights to the first compensation parameter, the second compensation parameter, and the third compensation parameter, and summing the weighted parameters.

Illustratively, the electronic device may apply the highest weight to the second reward parameter generated based on shared information on the target educational content, and the first reward parameter and the third reward parameter calculated according to the reward level and content sojourn time. A weight lower than that of the second compensation parameter may be applied in order of the compensation parameters.

According to an embodiment, the electronic device may apply different weights to parameters summed by the first compensation parameter, the second compensation parameter, and the third compensation parameter according to the type of educational content. The type of educational content may include, for example, subject-specific content, career progression content, general knowledge content, and interest content. In this case, the electronic device may apply the highest weight to content for each subject, and the weight may decrease in the order of career advancement content, general knowledge content, and interest content.

4 is a table showing reward grades according to an embodiment.

Referring to FIG. 4 , the electronic device may classify reward levels according to the number of users subscribing to the creator, and set a distribution profit ratio for each reward level. For example, the electronic device is classified as 1st grade when the number of users subscribing is 10 million or more, 2nd grade when less than 10 million and 5 million or more, 3rd grade when less than 5 million and 1 million or more, and less than 1 million, If it is more than 500,000, it can be classified as grade 4, less than 500,000 and more than 100,000 grade 5, less than 100,000 and more than 10,000 grade 6, and less than 10,000 grade 7.

The electronic device may identify which reward level the creator of the target educational content has, and load a distribution profit ratio mapped to the corresponding reward level. The electronic device may multiply the distribution revenue ratio by the number of views information or feedback information of the target educational content, and may determine a value obtained by multiplying the ratio of distribution revenue by the number of views information or the feedback information as the first compensation parameter.

5 is an application driving screen displaying a method for generating system internal and external shared information according to an embodiment.

Referring to FIG. 5 , the electronic device may generate sharing information on target educational content according to a user's request. The shared information may be information generated so that other users inside and outside the system can load target educational content. In this case, the electronic device according to an embodiment of the present disclosure may generate different types of shared information when shared inside the system and when shared outside the system.

According to an embodiment, when a user requests sharing information for sharing target educational content within the system, the electronic device may designate another user to whom sharing information of target educational content is to be transmitted. The electronic device may count the number of times that sharing information of target educational content is transmitted to other users within the system.

The electronic device may generate link information when a user requests sharing information for sharing target educational content outside the system. The link information may be a Universal Resource Locator (URL). The electronic device may count the number of times the generated link information is shared on the web or social networking service (SNS). For example, the electronic device may search for link information from a web search engine, and count the number of searched websites as the number of times shared outside the system.

The electronic device according to an embodiment of the present disclosure may assign a higher weight to the number of times the target educational content is shared outside the system than the number of times the target educational content is shared inside the system, and assigns a higher weight to the number of shared times inside the system and outside the system. The second compensation parameter may be calculated by multiplying and summing.

6 is a flowchart illustrating a method for calculating a content sojourn time according to an exemplary embodiment.

Referring to FIG. 6 , the electronic device may calculate compensation based on the total time that the target educational content is accessed by the user. The electronic device may calculate the amount of time each user has stayed in the target educational content, and may calculate the total amount of time accessed by the user by summing up the amount of time that each user has stayed in the target educational content.

In step S133_1, the electronic device may identify a user accessing target educational content. The electronic device may acquire the duration from the access start time to the access end time as the duration of stay, and may filter users who have accessed the target educational content by exceeding the set minimum duration of stay. A user accessing the target educational content can be recognized with an anonymous identification number.

In step S133_2, the electronic device may acquire user non-response times for users who access the target educational content exceeding the minimum time. The user non-response time may be a time during which the user's operation is not detected during the stay time. The user manipulation may be a manipulation operation input to the terminal device when the user accesses the target educational content through the terminal device. Exemplarily, when target educational content is output through an application, a user may input data into the target educational content through a terminal device or input a click or scroll operation through a user manipulation, and the terminal device may perform user manipulation through an electronic device. Entered time can be transmitted.

According to an embodiment, the electronic device may calculate the time from when a user manipulation is input until the next user manipulation is input as the user non-response time. When the electronic device receives a plurality of user manipulation operations, it may calculate a plurality of non-response times, and determine whether to exclude an access user with the longest non-response time among the plurality of non-response times.

In step S133_3, the electronic device may determine whether the non-response time exceeds a threshold time. The threshold time may be a preset time interval.

In step S133_4, when the electronic device determines that the non-response time exceeds the threshold time, the electronic device may exclude the access user. The access user may be a candidate user subject to compensation calculation filtered in step S133_1. The electronic device may prevent an excessively high reward from being calculated by excluding users who are highly likely to be calculated as noise in the reward calculation based on a preset threshold time from access users because user manipulations are not excessively input.

In step S133_5, when the electronic device determines that the non-response time is equal to or less than the threshold time, the corresponding user may be maintained as an access user subject to compensation calculation and added to the content sojourn time. The electronic device may sum up all stay times of connected users maintained after being filtered based on the non-response time. According to an embodiment, the electronic device may calculate the third compensation parameter in proportion to the total stay time.

According to an embodiment, the electronic device may calculate a non-response ratio of users whose non-response time exceeds a threshold time among users who access target educational content. When the non-response ratio exceeds the threshold ratio, the electronic device may exclude compensation for the target educational content. That is, a condition in which the non-response rate for the target educational content is equal to or less than the threshold rate may be set as the third revenue generating condition, and the electronic device may set the target educational content to meet the third revenue generating condition in the process of calculating the third reward parameter. You can judge whether or not to do it.

In the process of calculating compensation to be provided to the creator for the target educational content, the electronic device of the present disclosure may collectively accept information on the creator, information on the target educational content, and user feedback and set it as a compensation calculation criterion. Accordingly, the electronic device can prevent the creator from being given excessive or fraudulent compensation, and if the compensation is given through a legitimate method, the creator can be given an incentive to periodically provide high-quality content. .

As above, exemplary embodiments have been disclosed in the drawings and specifications. Although the embodiments have been described using specific terms in this specification, they are only used for the purpose of explaining the technical idea of the present disclosure, and are not used to limit the scope of the present disclosure described in the claims. . Therefore, those of ordinary skill in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical scope of protection of the present disclosure should be determined by the technical spirit of the appended claims.

Claims (7)

A method for calculating compensation for target educational content updated by a creator by a processor,
Determining whether a condition for generating revenue for each of the creator and the target educational content is satisfied;
Calculating a compensation level of the creator according to the number of users who have obtained subscription information for the creator;
Calculating a value obtained by multiplying a distribution profit ratio set according to the reward level by information on the number of hits or feedback of the target educational content as a first reward parameter for the target educational content;
Calculating a second reward parameter based on shared information on the target educational content;
Calculating a third reward parameter based on a content sojourn time of a user accessing the target educational content; and
calculating a final reward for the target educational content based on the first reward parameter, the second reward parameter, and the third reward parameter;
including,
Calculating the third compensation parameter,
obtaining, as user non-response time, a time from when a user manipulation is input to users who have accessed the target educational content until a next user manipulation is input;
setting users whose user non-response time is determined to be less than or equal to a threshold time as access users;
summing up content sojourn times for the target educational content of the access users; and
Calculating the third compensation parameter in proportion to the content sojourn time
Compensation calculation method comprising a. According to claim 1,
The step of determining whether or not the profit generation condition is satisfied,
determining whether the number of users who have obtained link information about the creator and the number and content of contents uploaded by the creator satisfy a first revenue generating condition; and
Determining whether the target educational content satisfies a second revenue generation condition based on the number of hits information and feedback information of the target educational content
Compensation calculation method comprising a. According to claim 1,
Calculating the first compensation parameter,
Calculating the first compensation parameter by multiplying at least one of the number of views and feedback information of the target educational content by the distribution revenue ratio
Compensation calculation method comprising a. According to claim 1,
Calculating the first compensation parameter,
obtaining a first sharing number of internal system links for the target educational content;
obtaining a second sharing number of external links to the target educational content shared outside the system; and
Calculating the second compensation parameter by assigning a higher weight to the second number of shares than the first number of shares
Compensation calculation method comprising a. delete According to claim 1,
Calculating the third compensation parameter,
Excluding users whose user manipulation is not input beyond a threshold time among the plurality of users from users accessing the target educational content
Compensation calculation method comprising a. According to claim 1,
The step of calculating the final reward is,
Calculating the final reward by applying weights set differently according to the type of educational content to the first compensation parameter, the second compensation parameter, and the third compensation parameter.
Compensation calculation method comprising a.

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