KR20190140599A - Method and system for filtering user channel contents by a business producer - Google Patents

Abstract

The present invention relates to a method for filtering user channel content by a business producer and a system thereof. The method for filtering user channel content by a filtering server implemented by a computer can comprise the steps of: receiving information related to content; analyzing the information related to the received content based on a preset item; scoring each item related to the content according as the content is analyzed; and filtering content based on the scored value for each item.

Description

Method and system for filtering user channel contents by business producers {METHOD AND SYSTEM FOR FILTERING USER CHANNEL CONTENTS BY A BUSINESS PRODUCER}

The following description relates to information providing technology, and to a content classification method and system.

With the rapid spread of the Internet and the development of information and communication technology, various services using the Internet are provided. For example, users create and publish their own content through a specific service such as blog, YouTube or SNS to provide information or share information with other users.

In addition, electronic commerce based on the Internet is becoming popular. An example of such e-commerce is a business-to-consumer electronic commerce called B2C (Business-to-Consumer), which refers to all types of electronic transactions between suppliers and consumers via the Internet.

In the early days, user content such as blogs focused on providing users with materials and information based on their own experiences, and as marketing became more difficult in the B2C model, blogging promotion, one of the C2C models, began. As marketing using content is active, the content channel itself is a user, but the producer has become a company or a group, and it has become difficult to find a blog or content with a genuine user experience as it is changed from purely intentional information to a channel of promotion. .

Accordingly, there is a demand for a technology that filters content and selects content for informational purposes that may be created by a real user.

A method and system for filtering content created from a user among a large amount of information provided on the Internet can be provided. In detail, as the analysis of information related to the content is performed based on various items, a method and a system for filtering the content by scoring the analysis result may be provided.

Content filtering method performed by a computer-implemented filtering server, receiving information related to the content; Analyzing the information related to the received content based on a preset item; Scoring each item associated with the content as the analysis of the content is performed; And filtering the content based on the scored value for each item.

The analyzing of the information related to the received content based on a preset item may include: duplicate inspection of the contents, filtering inspection of the contents, update inspection of the contents, inspection of whether the contents are reported, and IP of the contents. The method may include analyzing the content based on at least two items of the tracking check.

The analyzing of the information related to the received content based on a preset item may include matching the hash information obtained by hashing the information included in the content with the hash information of the pre-stored content to determine similarity, and to perform duplicate inspection. It may include the step of performing.

The analyzing of the information related to the received content based on a preset item may include: information included in content including at least one of a word, a sentence, a phrase, a paragraph, or an image included in the content. The method may include determining whether a matching result of matching the encoded hash information and the hash information of the predetermined content according to hashing is a matching rate higher than or equal to a preset criterion.

The analyzing of the information related to the received content based on a predetermined reference item may include: a word written in the content, a sentence written in the content, a phrase written in the content, a paragraph written in the content, or an image included in the content. Storing hash information encoded according to hashing information included in content including at least one of the contents.

The analyzing of the information related to the received content based on a predetermined reference item may include: a user account for periodically creating the content, a user account for producing the content over a preset criterion, and an update period of the content. The method may include determining a content associated with any one or more user accounts of a user account that is less than or equal to a preset time or a user account that is less than or equal to a preset time and produces content that is greater than or equal to a predetermined reference.

The analyzing of the information related to the identified content based on a preset reference item may include determining whether to match a pre-stored IP address with the identified IP band according to the IP band of the content. Can be.

The scoring of each item related to the content as the content is analyzed may include subtracting or adding a score according to an analysis result of each item based on a score assigned to the content. Can be.

The filtering of the content based on the scored value for each item may include filtering the content when the total score obtained by adding the scored value for each item is less than or equal to a preset reference value. have.

The filtering of the content based on the scored value for each item may include removing an exposure of the content, an average of the number of times the content is uploaded for a predetermined period, or a minimum number of times the content is counted for a predetermined period. It may comprise the step of limiting.

The server for filtering content implemented by a computer may include: a receiver configured to receive information related to the content; An analysis unit for analyzing the information related to the received content based on a preset item; A score assigning unit for scoring each item related to the content as the content is analyzed; And a filtering unit for filtering content based on the scored value for each item.

Through content filtering, unnecessary content may be removed to provide the actually created content from the user.

It is possible to reduce the exposure and improve the quality of the content that is created for commercial purposes.

As each analysis result of analyzing the information related to the content is scored, the content may be filtered in real time based on the reflected score value.

1 is a diagram illustrating an example of a network environment according to an embodiment.
2 is a block diagram illustrating an internal configuration of an electronic device and a server according to an exemplary embodiment.
3 is a block diagram illustrating an example of components that may be included in a processor of a filtering server according to an exemplary embodiment.
4 is a flowchart illustrating a content filtering method performed by a filtering server according to an exemplary embodiment.
5 is a diagram for describing an operation of filtering content in a filtering server, according to an exemplary embodiment.
6 is a diagram illustrating an example of assigning a score to each content in the filtering server according to an exemplary embodiment.
7 is an example for describing a method of analyzing content in a filtering server, according to an exemplary embodiment.

Hereinafter, exemplary embodiments will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating an example of a network environment according to an embodiment.

The network environment of FIG. 1 illustrates 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 describing the present invention, and the number of electronic devices or the number of servers is not limited as shown in FIG. 1.

The plurality of electronic devices 110, 120, 130, and 140 may be fixed terminals or mobile terminals implemented as computer devices. 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 notebook computer, a digital broadcasting terminal, a personal digital assistant (PDA), and a portable multimedia player (PMP). Tablet PC). For example, the electronic device 1 110 may communicate with other electronic devices 120, 130, 140 and / or the server 150, 160 through a network 170 using a wireless or wired communication scheme. In an embodiment, the electronic device may be a client.

The communication method is not limited, and may include not only a communication method using a communication network (for example, a mobile communication network, a wired internet, a wireless internet, a broadcasting network) that the network 170 may include, but also a short range wireless communication between devices. 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). And one or more of networks such as the Internet. The network 170 may also include any one or more of network topologies, including bus networks, star networks, ring networks, mesh networks, star-bus networks, trees, or hierarchical networks, but It is 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 a command, code, file, content, service, or the like. It may be implemented in devices.

For example, the server 160 may provide a file for installing an application to the electronic device 1 110 connected through the network 170. In this case, the electronic device 1110 may install an application using a file provided from the server 160. In addition, a service provided by the server 150 by accessing the server 150 under the control of an operating system (OS) included in the electronic device 1 110 and at least one program (for example, a browser or the installed application). I can be provided with the content. For example, when the electronic device 1 110 transmits a service request message to the server 150 through the network 170 under the control of the application, the server 150 transmits a code corresponding to the service request message to the electronic device 1. The electronic device 1 110 may provide content to a user by configuring and displaying a screen according to a code under the control of an application.

2 is a block diagram illustrating an internal configuration of an electronic device and a server according to an exemplary embodiment.

In FIG. 2, an internal configuration of the electronic device 1 110 as an example of one electronic device and the server 150 as an example of one server will be described. The same or similar internal components may be applied to other electronic devices 120, 130, 140 or server 160 as well as other electronic devices or other servers that may be included in the network environment described with reference to FIG. 1.

The electronic device 1 110 and the server 150 may include memories 211 and 221, processors 212 and 222, communication modules 213 and 223, and input / output interfaces 214 and 224. The memories 211 and 221 are computer-readable recording media, and may include non-volatile permanent storage devices such as random access memory (RAM), read only memory (ROM), and disk drives. In addition, the memory 211 and 221 may store an operating system and at least one program code (for example, a code installed for the browser or the above-described application or the like installed in the electronic device 1110). These software components may be loaded from a computer readable recording medium separate from the memories 211 and 221 using a drive mechanism. Such a 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, a memory card, and the like. In other embodiments, software components may be loaded into the memory 211, 221 through the communication module 213, 223 rather than a computer readable recording medium. For example, the at least one program is a program installed by files provided by the file distribution system (for example, the server 160 described above) through the network 170 for distributing installation files of developers or applications (for example, It can be loaded into the memory (211, 221) based on the above-described application).

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

The communication modules 213 and 223 may provide a function for the electronic device 1 110 and the server 150 to communicate with each other through the network 170, and another electronic device (for example, the electronic device 2 120). Alternatively, it may provide a function for communicating with another server (eg, server 160). For example, a request (eg, a streaming service request for content) generated by the processor 212 of the electronic device 1 110 according to a program code stored in a recording device such as the memory 211 is controlled by the communication module 213. In accordance with the network 170 may be delivered to the server 150. Conversely, control signals, commands, contents, files, and the like provided according to the control of the processor 222 of the server 150 are transmitted to the communication module of the electronic device 1 110 via the communication module 223 and the network 170 ( It may be received by the electronic device 1110 through 213. For example, a control signal or a command of the server 150 received through the communication module 213 may be transmitted to the processor 212 or the memory 211, and the content or the file may be transmitted by the electronic device 1110. It may be stored as a storage medium that may further include.

The input / output interfaces 214 and 224 may be means for interfacing with the input / output device 215. For example, the input device may include a device such as a keyboard or mouse, and the output device may include a device such as a display for displaying a communication session of an application. As another example, the input / output interface 214 may be a means for interfacing with a device in which functions for input and output are integrated into one, such as a touch screen. As a more specific example, the processor 212 of the electronic device 1110 is configured using data provided by the server 150 or the electronic device 2 120 in processing a command of a computer program loaded in the memory 211. The service screen or the content may be displayed on the display through the input / output interface 214.

Also, in other embodiments, the electronic device 1 110 and the server 150 may include more components than those of FIG. 2. However, it is not necessary to clearly show most of the prior art components. For example, the electronic device 1 110 may be implemented to include at least some of the above-described input / output devices 215 or other components such as a transceiver, a global positioning system (GPS) module, a camera, various sensors, a database, and the like. It may further include elements.

3 is a block diagram illustrating an example of a component that may be included in a processor of a filtering server according to an embodiment, and FIG. 4 is a flowchart illustrating a content filtering method performed by a filtering server according to an embodiment. .

The processor 222 of the filtering server may include a receiver 310, an analyzer 320, a scorer 330, and a filter 340. Components of such a processor 222 may be representations of different functions performed by the processor 222 according to control instructions provided by program code stored in the filtering server. The processor 222 and the components of the processor 222 may control the filtering server to perform the steps 410 to 440 included in the content filtering method of FIG. 4. In this case, the processor 222 and the components of the processor 222 may be implemented to execute instructions according to code of an operating system included in a memory and code of at least one program.

The processor 222 may load program code stored in a file of a program for a content filtering method into a memory. For example, when a program is executed in the filtering server, the processor may control the filtering server to load program code from a file of the program into a memory under control of an operating system. In this case, each of the processor 310, the receiver 310, the analyzer 320, the scorer 330, and the filter 340 included in the processor 222 and the processor 222 may correspond to a corresponding portion of the program code loaded in the memory. It may be different functional representations of the processor 222 for executing the instructions to execute the subsequent steps 410-440.

In operation 410, the receiver 310 may receive information related to content. As the content is uploaded, the receiver 310 may inquire information related to the posted content and may inquire information related to the content requested to be uploaded.

In operation 420, the analyzer 320 may analyze the information related to the received content based on a preset item. The analysis unit 320 may analyze the content on the basis of at least two items among the overlapping check of the content, the filtering check of the content, the update check of the content, the check whether the content is reported, and the IP tracking check of the content. have. The analysis unit 320 may perform overlapping inspection by determining similarity by matching hash information of the previously stored content with hash information obtained by hashing the information included in the content. Specifically, referring to FIG. 7, it is an example for explaining a method of analyzing content. For example, the filtering server may search for hash information of the content and hash information of the content corresponding to the content of the user terminal 110 in the database 350 as the content is posted from the user terminal 110. The analysis unit 320 may derive a matching result by matching the hash information of the content of the user terminal 110 and the hash information of the content retrieved from the database 350. The analysis unit 320 hashes the information included in the content including at least one or more of a word, sentence, phrase, paragraph, or image included in the content, and the hash information of the encoded content and the hash information of the predetermined content. It may be determined whether the result of the matching is a matching rate higher than or equal to a preset criterion. Encoded in the database 350 by hashing information contained in the content including at least one or more of a word written in the content, a sentence written in the content, a phrase written in the content, a paragraph written in the content, or an image included in the content. Stored hash information. In addition, the analysis unit 320 may be a user account for periodically creating the content, a user account for producing the content more than a predetermined criterion for the content, a user account whose content update period is less than the preset time or the period of the update of the content Content related to any one or more user accounts of a user account that is less than or equal to a predetermined time and produces more content than a predetermined criterion may be determined. For example, the analyzer 320 may classify content related to a user account that periodically updates the content at a specific time, a user account that periodically produces the content, and the like as commercial content. In addition, the analyzer 320 may determine whether to match the pre-stored IP address and the identified IP band by tracking the IP band of the content.

In operation 430, the scoring unit 330 may score each item related to the content as the content is analyzed. The score assigning unit 330 may subtract or add a score according to the analysis result of each item based on the score assigned to the content. Referring to FIG. 6, a diagram for describing assigning a score to each content is illustrated. For example, the score assigning unit 330 may store the scores assigned to each item in the score table 600 as the content is analyzed. The score assigning unit 330 may calculate a final comprehensive score by assigning a score given to each item to a reference score. In this case, the score assigning unit 330 may update the score for each item whenever analysis of the content is performed. In addition, the score assigning unit 330 may assign a weight to each item based on the analysis result performed on the content. Thus, the score assigning unit 330 may be weighted to some items of the content to derive the score.

In operation 440, the filtering unit 340 may filter the content based on the scored value for each item. The filtering unit 340 may filter the content of the user channel produced by the business producer. The filtering unit 340 may filter the content to remove the exposure of the content when the total score obtained by adding the scored value for each item is less than or equal to the preset reference value. The filtering unit 340 may filter the content as the time and / or the number of times the content is produced is constantly updated. The filtering unit 340 may limit the average number of times the content is uploaded for a certain period or the minimum number of times the content is counted for a certain period of time. The filtering unit 340 may filter the content by determining that the content or the source of the content are the same. For example, the filtering unit 340 may filter the content so as not to expose the content to an Internet service, or to limit the number of times the content is uploaded or the number of times the content is counted. Alternatively, the filtering unit 340 may allow exposure of content by relaxing a reference value by a user or a computer.

5 is a diagram for describing an operation of filtering content in a filtering server, according to an exemplary embodiment.

The filtering server may query the content uploaded from the user (501). Here, the user may be a content producer producing or producing content, and may be an individual or an institution (company). In addition, the user may log in to the Internet service with a user account and upload content to the corresponding Internet service. For example, as content is uploaded from a user to an Internet service (eg, SNS, portal site, etc.), the content may be posted on the Internet service. In this case, the filtering server may query the content before the content is posted or by crawling the posted content. In detail, the filtering server may query the content as the upload request is made so that the content is posted on the Internet service, or may crawl the content posted on the Internet service to query the content.

As the filtering server receives the content, the filtering server may analyze and store information related to the content (502). The filtering server may analyze the information related to the content based on a preset item. For example, the filtering server may analyze the content based on at least two items among the duplicate checks on the content, the filtering checks on the content, the update check on the content, the check on whether to report the content, and the IP traceability check on the content. Can be performed. In this case, the filtering server may analyze the plurality of items simultaneously or sequentially for the content. The filtering server is intended to expose content that does not match these items.

For example, the filtering server may match the hash information obtained by hashing the information included in the content with the hash information of the pre-stored content, determine the similarity, and perform a duplicate check. The filtering server may hash information included in content including at least one or more of a word, sentence, phrase, paragraph, or image included in the content (503). Here, the hashing may be converted into unique hash information by hashing the word, sentence, phrase, paragraph, or image described in the content. For example, as specific phrases described in the content are hashed, they may be converted into hash codes having a specific length, such as 'ABCDEDCBA', and the hash codes may be compared with each other.

The filtering server may determine that the source of the content is the same when the result of matching the encoded hash information with the hash information of the predetermined content is equal to or greater than a preset criterion as hashing the information included in the content. In advance, the filtering server hashes information contained in content that includes at least one of words in content, sentences in content, phrases in content, paragraphs in content, or images in content. You can store information in a database and cache coded hash information. The hash information stored in the database may include contents exposed to the Internet service or contents from which the exposure of the Internet service is excluded.

The filtering server may determine the matching rate by matching the hash information stored in the database with the converted hash information for the content. For example, the filtering server may include hash information hashed for a paragraph described in the content, hash information hashed for a phrase described in the content, and hash information hashed for an image included in the content. Can be analyzed to match. As another example, the filtering server may search the hash information of the content and the oldest content, and then perform analysis by matching the hash information obtained by hashing the oldest content. The filtering server may detect the sentence, phrase, and the like that match the converted hash information and pre-stored hash information with respect to the content, and comprehensive matching based on the hash information that matches each word, paragraph, phrase image, etc. You can also derive the rate. In addition, the filtering server may determine the same content when the matching rate is equal to or greater than a preset matching rate (eg, 80%). The filtering server may detect the matching hash information and store it in the database (504). Alternatively, the filtering server may store the content compared with the previously stored hash information and hash information related to the content in the database (504). In addition, the filtering server may perform new content and analysis on the hash information stored in the database.

The filtering server may analyze the source of the content as the content of the content is analyzed (505). The filtering server may analyze a producer who produces the content, an update cycle or the number of times of the content, etc. (506). The filtering server may perform an analysis for filtering a group for composing content with commercial intention. At this time, the update period of the content is short, and to filter the object producing a lot of content. For example, the filtering server may be configured to periodically set a user account for periodically creating content, a user account for producing content with a predetermined criterion or more, and a user account whose content update period is less than or equal to a preset time. Content related to any one or more user accounts of less than a time and a user account that produces more than a predetermined reference content may be determined. In addition, the filtering server may determine that the content has been produced commercially as the content production time and number of times are constant. In addition, the filtering server may determine whether the pre-stored IP address matches the identified IP band as the IP band of the content is tracked. For example, for commercial content, IP bands or internal IP addresses may be the same or similar. The filtering server may extract content having the same or similar IP band or internal IP address.

Meanwhile, the content may be analyzed based on the report of the filtering server user (507). The filtering server may store the user's report count in the database (508). Furthermore, the filtering server may analyze the content based on the black list of the service provider. For example, the filtering server may register a blacklist with the Internet service. In this case, a score for exposing the contents of the company is first provided by registering a counterpart blacklist generated for each company, but the analysis is performed in advance for each content, and the score is smaller than the value that gives the score. You can assign a score. In this case, the filtering server may end the exposure first when receiving the limit and report on the target only in order to minimize the side effects of the content exposure. The filtering server may selectively process the processes of steps 507 to 508 according to the situation. When the filtering server checks that the content is clearly commercial content when the user inquires the content, a score for the content may be randomly given from the user. Alternatively, the filtering server may assign a score for the content requested by the user.

The filtering server may filter content created for commercial purposes as the source of the content is analyzed. The filtering server may score each item as the content is analyzed based on a plurality of items set for the content (509). For example, the filtering server may score each content as the content and source are analyzed for the content. The filtering server may obtain a score derived by analyzing the content of the content and a score derived by analyzing the source of the content. For example, if the content matching rate range is set to 60% to 70%, 70% to 80%, -20 points to 80% to 90%, and -30 points to 80% to 90% As described above, the score may be scored based on the matching rate. As another example, as a result of analyzing the content, a negative score or a positive score may be given according to whether or not the matched content or the content is determined to be commercial. In this case, the filtering server may assign a weight when the analysis result of the content is equal to or greater than a preset criterion. In other words, when the analysis result of the content is equal to or greater than a predetermined matching rate, the filtering server determines that the content is commercial content and assigns a weight. As such, the weighted content can be filtered more reliably. In addition, as the filtering server analyzes the content, each of the at least two content determined to be the same content may be assigned a score for excluding the exposure of the content at the same time. In other words, if it is determined that the extracted content is the same to compare with the content, the filtering server may assign a score to both contents. Accordingly, when the content, which should be excluded from the exposure of the content, is exposed, it may be filtered together when analyzing other content. In this case, the greater the number of contents determined to be the same content, the greater the weight of the corresponding content score.

As the filtering server analyzes the content, the filtering server may subtract or add the score according to the analysis result for each item. For example, a base score may be given to content in advance. 1000 points may be assigned to each content as a base score, and the score is subtracted or added according to a result of analyzing the content in the base score. The filtering server may aggregate the scores obtained for each item as the content is analyzed. Alternatively, the filtering server may sort the total score that combines the scores obtained for each item in ascending or descending order based on the content. Accordingly, the filtering server may expose the page of the normal content as the filtering 510 is performed on the content (511). The filtering server may filter the content when the combined score of each score is more than or less than a predetermined value. For example, the filtering server may filter out content below a preset value (reference value) to exclude exposure of the content.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the devices and components described in the embodiments are, for example, processors, controllers, arithmetic logic units (ALUs), digital signal processors, microcomputers, field programmable gate arrays (FPGAs). Can be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to the execution of the software. For convenience of explanation, one processing device may be described as being used, but one of ordinary skill in the art will appreciate 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 may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as parallel processors.

The software may include a computer program, code, instructions, or a combination of one or more of the above, and configure the processing device to operate as desired, or process it independently or collectively. You can command the device. Software and / or data may be any type of machine, component, physical device, virtual equipment, computer storage medium or device in order to be interpreted by or to provide instructions or data to the processing device. It can be embodied in. The software may be distributed over networked computer systems so that they may be stored or executed in a distributed manner. Software and data may be stored on one or more computer readable recording media.

Method according to the embodiment is implemented in the form of program instructions that can be executed by various computer means may be recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the media may be those specially designed and constructed for the purposes of the embodiments, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine code, such as produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.

Although the embodiments have been described by the limited embodiments and the drawings as described above, various modifications and variations are possible to those skilled in the art from the above description. For example, the described techniques may be performed in a different order than the described method, and / or components of the described systems, structures, devices, circuits, etc. may be combined or combined in a different manner than the described method, or other components. Or even if replaced or replaced by equivalents, an appropriate result can be achieved.

Therefore, other implementations, other embodiments, and equivalents to the claims are within the scope of the claims which follow.

Claims (20)

In the content filtering method performed by a computer-implemented filtering server,
Receiving information related to the content;
Analyzing the information related to the received content based on a preset item;
Scoring each item associated with the content as the analysis of the content is performed; And
Filtering content based on the scored value for each item;
Content filtering method comprising a. The method of claim 1,
Analyzing the information related to the received content based on a preset item,
Performing an analysis of the content based on at least two items among the duplicated inspection of the contents, the filtering inspection of the contents, the updating inspection of the contents, the inspection of whether the contents have been reported, and the IP tracking inspection of the contents;
Content filtering method comprising a. The method of claim 1,
Analyzing the information related to the received content based on a preset item,
Performing overlapping inspection by determining similarity by matching the hash information obtained by hashing the information included in the content with hash information of previously stored content.
Content filtering method comprising a. The method of claim 3,
Analyzing the information related to the received content based on a preset item,
Hashing the encoded hash information and the hash information of the predetermined content by hashing the information contained in the content including at least one or more of a word, a sentence, a phrase, a paragraph, or an image included in the content. Determining whether the matching result is a matching rate higher than or equal to a preset criterion;
Content filtering method comprising a. The method of claim 4, wherein
Analyzing the information related to the received content based on a predetermined reference item,
Hash information coded by hashing information included in content including at least one of a word written in the content, a sentence written in the content, a phrase written in the content, a paragraph written in the content, or an image included in the content Steps to save
Content filtering method comprising a. The method of claim 1,
Analyzing the information related to the received content based on a predetermined reference item,
A user account for periodically creating the content, a user account for producing the content with a predetermined criterion or more, a user account whose update period is less than or equal to a preset time, or a period of updating the content is less than or equal to a preset time; Determining content associated with any one or more user accounts among user accounts that produce content equal to or greater than a predetermined standard;
Content filtering method comprising a. The method of claim 1,
Analyzing the information related to the identified content based on a predetermined reference item,
Determining whether the previously stored IP address matches the identified IP band according to the IP band band of the contents;
Content filtering method comprising a. The method of claim 1,
Scoring each item related to the content as the analysis of the content is performed,
Subtracting or adding a score according to an analysis result for each item based on the score given to the content
Content filtering method comprising a. The method of claim 1,
Filtering the content based on the scored value for each item,
Filtering the content when a total score obtained by adding a scored value for each item is equal to or less than a preset reference value;
Content filtering method comprising a. The method of claim 9,
Filtering the content based on the scored value for each item,
Removing exposure of the content or limiting the average number of times the content is uploaded for a certain period or the minimum number of times the content is counted for a certain period of time
Content filtering method comprising a. A server for filtering content implemented by a computer,
Receiving unit for receiving information related to the content;
An analysis unit for analyzing the information related to the received content based on a preset item;
A score assigning unit for scoring each item related to the content as the content is analyzed; And
Filtering unit for filtering the content based on the scored value for each item
Filtering server comprising a. The method of claim 11,
The analysis unit,
Analyzing the content based on at least two items among the duplicated inspection of the contents, the filtering inspection of the contents, the updating inspection of the contents, the inspection of whether the contents have been reported, and the IP tracking inspection of the contents;
Filtering server, characterized in that. The method of claim 11,
The analysis unit,
Hashing information obtained by hashing the information contained in the content and matching the hash information of the pre-stored content to determine the degree of similarity and to perform duplicate inspection
Filtering server, characterized in that. The method of claim 13,
The analysis unit,
Hashing the encoded hash information and the hash information of the predetermined content by hashing the information contained in the content including at least one or more of a word, a sentence, a phrase, a paragraph, or an image included in the content. Determining whether the matching result is a matching rate above a predetermined criterion
Filtering server, characterized in that. The method of claim 14,
The analysis unit,
Hash information coded by hashing information included in content including at least one of a word written in the content, a sentence written in the content, a phrase written in the content, a paragraph written in the content, or an image included in the content To save
Filtering server, characterized in that. The method of claim 11,
The analysis unit,
A user account for periodically creating the content, a user account for producing the content with a predetermined criterion or more, a user account whose update period is less than or equal to a preset time, or a period of updating the content is less than or equal to a preset time; Determining the content related to any one or more user accounts of the user account that produces content above the predetermined criteria
Filtering server, characterized in that. The method of claim 11,
The analysis unit,
As the IP band of the content is tracked, it is determined whether a pre-stored IP address matches the identified IP band.
Filtering server, characterized in that. The method of claim 11,
The score grant unit,
A score is subtracted or added based on the analysis result for each item based on the score given to the content.
Filtering server, characterized in that. The method of claim 11,
The filtering unit,
Filtering the content when a total score obtained by adding a scored value for each item is equal to or less than a predetermined reference value;
Filtering server, characterized in that. The method of claim 19,
The filtering unit,
Remove the exposure of the content, or limit the average number of times the content is uploaded over a period of time or the minimum number of times the content is counted over a period of time
Filtering server, characterized in that.

Images