Content disclosure ranking determination system

Abstract

To instantly determine the disclosure ranking of a huge amount of contents on public Web servers on the Internet based on its originality.SOLUTION: A maximum amount of contents obtained on the Internet within a certain period of time is weighted below a minimum standard value based on a comparison of similarity and disclosure date and time data, and the weighted data is stored in a group 0. Data weighted below the next highest standard value is stored in a group 1, and so on until data weighted above the highest standard value is stored in a group n. This is a content database configuration of a ranking determination database as the initial standard. The contents transmitted to the ranking determination database are first compared and collated with a content in the group n, and if the ranking weight is equal to or greater than the standard value for the group n, it is stored in the group n, and if the ranking weight is less than the standard value for the group n, it is compared and collated with a content in the group with the number subtracted by 1. This determination is repeated until the maximum number of times is reached and the result is stored in the group 0.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a system for determining the disclosure order of contents on the Internet. [Background technology]

[0002] Currently, when content on the Internet, such as copyrighted works, papers, photographs, music, audio, images, and videos, are similar in content, humans or AI compare the degree of similarity between the target content and the similar content and the dates of their disclosure to determine which is the original. However, there is a huge amount of content on the Internet, and comparing similar content requires comparing with a huge amount of content data.

[0003] As a remedy for this problem, as shown in FIG. 1, the content disclosure rank determination system 1 instantly determines the disclosure rank in terms of originality by comparing content 13 on a public Web server 12 on the Internet 11 with content data in a rank determination database 14 within the content disclosure rank determination system 1. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent Publication No. 2021-36408 [Patent Document 2] Patent Publication No. 2023-19718 [Patent Document 3] Patent Publication No. 2019-220181 Summary of the Invention [Problem to be solved by the invention]

[0005] The problem to be solved is that there is a huge amount of content on the Internet, and in order to compare similar content, it is necessary to compare with a huge amount of content data. [Means for solving the problem]

[0006] The main feature of the present invention is that it makes it possible to instantly determine the disclosure order based on the level of originality by comparing the vast amount of content on public web servers on the Internet with content data in a order determination database within a content disclosure order determination system. Effect of the Invention

[0007] The content disclosure order determination system of the present invention has the advantage of being able to instantly determine the disclosure order based on the originality of a huge amount of content stored on public Web servers on the Internet, something that could not be done instantly before. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is a schematic diagram showing a content disclosure order determination system. [Diagram 2] FIG. 2 is a schematic diagram showing the ranking determination database. [Diagram 3] FIG. 3 is a flowchart showing the operation of storing contents in the ranking determination database. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] In order to instantly determine the ranking of the vast amount of content on public web servers on the Internet based on its originality, the data in the ranking database and The purpose of matching was achieved by using a content disclosure ranking determination system.

[0010] (Configuration of Content Disclosure Order Determination System) As shown in FIG. 1, the content disclosure rank determination system 1 instantly determines the disclosure rank of content 13 in a public Web server 12 on the Internet 11 by comparing the content 13 with content data in a rank determination database 14 within the content disclosure rank determination system 1, in terms of the degree of originality.

[0011] (Structure of ranking database) 2 is an overview diagram of the ranking determination database 14. First, the content 13 on the public Web server 12 on the Internet 11 that can be obtained to the maximum extent in a certain period of time is stored in the ranking determination database 14, and the similarities between the content data are compared, and data with a high similarity and degree of reference to other data is weighted with a high ranking value based on the disclosure date and time data. Data weighted below the minimum standard value is stored in group 0. Data weighted below the next highest standard value is stored in group 1, and so on, until data weighted above the maximum standard value is stored in group n. This is the content database configuration of the ranking determination database 14 as the initial standard.

[0012] (Content storage operation) FIG. 3 is a flow chart showing the operation of storing content 13 on a public Web server 12 on the Internet 11 in a ranking determination database 14.

[0013] Prior to the operation shown in FIG. 3, as explained in the configuration of the rank determination database 14, the rank determination database 14 is configured as an initial standard content database.

[0014] The content disclosure order determination system 1 acquires content 13 from a public Web server 12 on the Internet 11 (S10). The acquired content is sent to a order determination database 14 (S11). The sent content is first compared with n-group content (S12).

[0015] If the result of the comparison is that the ranking weight is equal to or greater than the n-group reference value (S13, YES), the content is stored in the n-group (S14). On the other hand, if the ranking weight is less than the n-group reference value (S13, NO), the content is compared with the content in the group with the number subtracted by 1 (S15).

[0016] If the result of the comparison is that the ranking weight is equal to or greater than the reference value for the group with the number minus 1 (S16, YES), the content is stored in the group with the number minus 1 (S17). On the other hand, if the ranking weight is less than the reference value for the group with the number minus 1 (S13, NO), the content is further compared with the content in the group with the number minus 1 (S15). This determination is repeated the maximum number of times until it is stored in group 0.

[0017] The contents sent to the ranking determination database 14 later have a high similarity and a high degree of reference, and are likely to be weighted with a high ranking value, so they are likely to be stored in the group data with a large number before being compared with all the data in the database. This system makes it possible to minimize the number of data to be compared. [Industrial Applicability]

[0018] This content disclosure priority determination system will reduce the ever-increasing costs of managing legal and commercial rights for content on the Internet, and is also expected to curb economic losses caused by damage and harm caused by illegal content. In addition, by increasing the speed of determining rights, the period from invention to the publication of content such as papers, works, and artworks on the Internet can be shortened. [Explanation of symbols]

[0019] 1 Content disclosure ranking system 11. Internet 12 Public Web Server 13 Content 14 Ranking Database

Claims

1. The main feature of this content disclosure ranking determination system is that it is possible to instantly determine the disclosure ranking in terms of originality by comparing the vast amount of content on public web servers on the Internet with content data in a ranking determination database within the content disclosure ranking determination system.

2. First, the maximum amount of content that can be obtained in a certain period of time from public web servers on the Internet is stored in a ranking determination database, and the similarities between the content data are compared, and data with high similarity and reference frequency to other data is weighted with a high ranking value based on the disclosure date and time data. Data weighted below the minimum standard value is stored in group 0. Data weighted below the next highest standard value is stored in group 1, and so on, until data weighted above the maximum standard value is stored in group n. The ranking determination database according to claim 1 has the most important feature of being the initial standard content database configuration.

3. Prior to operation, the ranking determination database is configured as an initial standard content database. The content disclosure ranking determination system according to claim 1 acquires content from a public Web server on the Internet, sends the acquired content to a ranking determination database, and first compares and collates the sent content with n-group content. If the result of the comparison is that the ranking weight is equal to or greater than the n-group reference value, the content is stored in group n. On the other hand, if the ranking weight is less than the n-group reference value, the content is compared with the content in the group with the number one less than the n-group reference value. If the result of the comparison is that the ranking weight is equal to or greater than the reference value for the group with the number minus 1, the content is stored in the group with the number minus 1. On the other hand, if the ranking weight is less than the reference value for the group with the number minus 1, the content is compared and matched with the content in the group with the number minus 1. This determination is repeated the maximum number of times until the content is stored in group 0. By the above operations, the content on the public Web server on the Internet is stored in the ranking determination database according to claim 1.

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