KR100770163B1 - Method and system for computing spam index - Google Patents

Abstract

The present invention relates to the spam score of the question-answer information set based on the storing time information of the question-answer information set including the question information and the answer information associated with the question information, the abusing element associated with the keyword and the IP information. And a method and system for calculating and appropriately processing the question-answer information set according to the spam index. The spam index estimating method performed in the spam index estimating system according to the present invention checks stored time information in which a question-answer information set including question information and answer information associated with the question information is stored in a predetermined database. Identifying a keyword included in the question-answer information set, identifying IP information of the question-answer information set, storing time information, an abusing element associated with the keyword and the IP information. Calculating a spam index of the question-answer information set based on the step, and processing the question-answer information set according to the calculated spam index.

Question-answer information set, stored visual information, keyword, IP, spam index table

Description

METHOD AND SYSTEM FOR COMPUTING SPAM INDEX}

1 is a diagram illustrating spammy postings posted on a web page according to the prior art.

2 is a flowchart illustrating a spam index calculation method according to an embodiment of the present invention.

3 is a diagram illustrating a structure of a spam index table according to an embodiment of the present invention.

4 is a flowchart illustrating a spam index calculation method associated with IP information according to an embodiment of the present invention.

5 is a flowchart illustrating a spam index calculation method associated with stored time information according to an embodiment of the present invention.

6 is a flowchart illustrating a method of calculating a spam index associated with a keyword according to an embodiment of the present invention.

7 is a diagram illustrating the structure of a keyword spam index table according to one embodiment of the present invention.

8 is a flowchart illustrating a method of calculating a spam index associated with a keyword according to another embodiment of the present invention.

9 is a block diagram showing a configuration of a spam index calculation system according to an embodiment of the present invention.

<Explanation of symbols for main parts of the drawings>

900: spam index calculation system

910 database

920 spam table

930: Keyword Spam Index Table

940: visual information confirmation unit

950: keyword verification unit

960: IP information verification unit

970: spam index calculation

980: post processing unit

The present invention relates to the spam score of the question-answer information set based on the storing time information of the question-answer information set including the question information and the answer information associated with the question information, the abusing element associated with the keyword and the IP information. And a method and system for calculating and appropriately processing the question-answer information set according to the spam index.

Recently, the use of the Internet has become popular regardless of age or gender, and the damage caused by the use of the Internet is also gradually increasing. For example, it is aggravating the inconvenience of many netizens by posting spammy postings such as harmful and adult advertisements without registering useful information in an information providing service operated to share information on the Internet.

1 is a diagram illustrating spammy postings posted on a web page according to the prior art.

"Netizen A" registers a questionnaire with a few questions to help other netizens about what they have not experienced or are not familiar with, and the webpage operator does not check the questionnaire. Posted on the page.

As shown, "Netizen B" registers useful information about the question as an answer to the question of "Netizen A", and the web page operator immediately posts it on the web page without checking the reply. However, if an answer includes an advertising keyword such as the reference numeral 102, it is an advertisement post, so it is necessary to delete the web page before damaging other netizens.

However, in the past, "Netizen C", which confirmed that the reply of "Netizen B" is an advertisement post, should press the Report 101 button, but the response of "Netizen B" is reported to the web page operator as an advertisement post. Could delete action. Or, the spammy posts are frequently uploaded and the entire posts are screened and deleted from the directory. Or, depending on the importance of the bad words can be deleted by checking the posts by checking the posts by period, period and time. In addition, the spam list could be processed by generating a list of IDs that register a large number of spammy posts based on the publisher ID or login IP, finding bad IDs, and finding all the posts posted as bad IDs.

Therefore, if the above method does not receive a report on a posted post, the web page operator has a problem in that it is exposed to the web page for a long time even if it is an advertising post to increase the complaints of netizens. In addition, the method of determining whether to delete spam posts every day for all posts registered several thousand times a day has a disadvantage in that the response to the spam posts is slow and a lot of manpower and cost are required. In addition, if the spammy posts are exposed for a long time, there is a problem that the search credit rating is lowered.

As such, there is a demand for a method of determining whether a post is registered in real time without being immediately posted on a web page, and determining whether the post is spam or not, if the post is spam.

The present invention has been made to solve the problems of the prior art as described above, to determine the questionnaire / answerer IP information included in the question-answer information set to calculate the spam index according to the abusing factors associated with the IP information, Check the storage time information of the information / answer information to calculate a spam index according to the abusing element associated with the storage time information, calculate a keyword from the question-answer information set, match the keyword stored in the keyword spam index table, and match the keyword. The spam score is calculated according to the abusing factor associated with, and if the total sum of the spam scores calculated according to each abusing factor is higher than the spam detection score, the question-answer information set is detected as a spam posting and excluded from the search list for a certain period of time. And report malicious spam to the system administrator For its object to provide a method and system for providing an intelligent system for processing a high-pre.

In addition, the present invention is to calculate the spam index according to each of the abusing elements of the question-answer information set before the web page registration for the question-answer information set registered in real time, and if the spam index is not suspected as spam spam posts It is an object of the present invention to provide a method and system that can increase the search credibility and improve the search quality by only posting on the web page.

In addition, the present invention is to maintain the keyword spam index given by the keyword in the keyword spam index table, extract the keyword from the question-answer information set to match the extracted keyword with the keyword spam index table, the corresponding keyword is matched By estimating the spam index according to the keyword spam index, it is easy to detect a set of question-answer information containing keywords with a high keyword spam index as spam postings, and exclude the spam postings from the search list to expose the spam postings to web pages. It is an object of the present invention to provide a method and a system which prevents the use of the same.

In order to achieve the above object and solve the problems of the prior art, the spam index calculation method performed in the spam index calculation system according to an embodiment of the present invention includes question information and answer information associated with the question information. Confirming stored time information in which the question-answer information set is stored in a predetermined database, identifying keywords included in the question-answer information set, and confirming IP information of the question-answer information set. Estimating a spam index of the set of question-answer information based on the storing time information, the keyword and an abusing element associated with the IP information, and the question-answer according to the calculated spam index. Processing the set of information.

In addition, the spam index calculation system according to another embodiment of the present invention is a visual information confirmation unit for confirming the stored time information is stored in a database a question-answer information set including the question information and the answer information associated with the question information A keyword identification unit for identifying keywords included in the question-answer information set, an IP information identification unit for confirming IP information of the question-answer information set, an storing element associated with the storage time information, the keyword, and the IP information. And a spam index calculation unit for calculating a spam index of the question-answer information set based on the post processing unit, and a post processing unit for processing the question-answer information set according to the calculated spam index.

Hereinafter, with reference to the accompanying drawings will be described an embodiment of the present invention;

2 is a flowchart illustrating a spam index calculation method according to an embodiment of the present invention.

In step 201, the spam index estimating system may store the question-answer information set in a predetermined database. The question-answer information set may include question information registered by a questioner and answer information registered by an answerer based on the question information. In addition, the answer information associated with the question information may be one or more. For example, if answerer A, answerer B, and answerer C register answer information for the question “Lee Jun-ki,” the question-answer information set may include three answer information in one question information.

According to an embodiment of the present invention, the database stores the storage time information of the question information for each question-answer information set, the storage time information of the answer information, the adoption time information of the answer information, the questioner IP information, and the answerer IP information It may include.

In step 202, the spam index estimating system may maintain respective abusing elements associated with stored time information, keywords, and IP information in a spam index table.

A description with reference to FIG. 3 is as follows. 3 is a diagram illustrating a structure of a spam index table according to an embodiment of the present invention.

As shown, the spam index table may maintain respective abusing elements associated with IP information i1 to i4, stored time information t1 and t2, and keywords k1 to k5, and a spam index associated with the abusing element. .

The arranging element of the IP information associated with i1 may be the case where the interrogator IP information and the answerer IP information of the best answer information are identical. As described above, the question information may include one or more answer information, and the answerer IP information of the best answer information may be the answerer IP information of the answer information adopted by the questioner among the one or more answer information.

For example, if questioner A registers the question information, registers the answer information associated with the question information again, and adopts the answer information as the best answer information, the IP information of the questioner and the answerer is the same. In this case, the spam index calculation system may calculate a spam index as "150" associated with the abusing element i1 of IP information with reference to the spam index table for the question-answer information set including the question information and the answer information. have.

The arranging element of the IP information associated with i2 may be the case where the C-Class of the interrogator IP information and the interrogator IP information of the best answer information are the same. The IP address is a concept that corresponds to a physical network address on the Internet. When the IP address is identified, a host can be identified, and thus, it is possible to know who registered a post posted on a web page. The IP address is divided into classes, and all hosts in the same network share the same prefix.

Among them, C-Class IP is applied to small networks, and C-Class IP information is the same among IP information of users belonging to a certain group. For example, in the case of using the Internet with 20 computers in the workplace A, all C-Class IPs among the IPs allocated to the 20 computers are the same. Therefore, when users belonging to a certain group deliberately post spammy posts, the C-Class IPs among the IPs of the users are all the same, so the spam index estimating system checks the C-Class IP to see if the posts registered are spammy posts. It can be judged easily. That is, even if the interrogator IP information and the answerer IP information are not completely identical, if the C-Class IP is the same, it can be determined as the same IP.

Thus, in such a case, the spam index calculation system refers to the spam index table for the question-answer information set including the question information and the best answer information to the spam index as "100" associated with the abusing element i2 of IP information. Can be calculated.

The arranging element of the IP information associated with i3 may be the case where the questionnaire IP information and the answerer IP information of the general answer information are identical. The general answer information may be an answerer registered as answer information associated with the question information, but the questioner did not adopt the answer information. In such a case, the spam index of the IP information can be calculated as "90".

The arranging element of the IP information associated with i4 may be the case where the C-Class of the answerer IP information and the answerer IP information of the general answer information are the same. In such a case, the spam index of the IP information may be calculated as "80".

In addition, the spam index table can maintain an abusing factor and spam index associated with stored time information. As shown, the abusing element of the IP information associated with t1 may be calculated as the spam index "60" when the time for which the questioner adopts the answer information associated with the question information as the best answer information is within 1 minute. In addition, when the adoption time to be adopted as the best answer information is within 3 minutes, it can be calculated as the spam index "60". The adoption time may be set by the spam index calculation system operator.

In addition, the spam index table may maintain an abusing factor and spam index associated with a keyword. As shown, among the keywords, the URL (k1) is set to the highest spam index, and the spam index is different for the advertising keyword (k2), the adult text (k3), the specific syllable frequency (k4), and the duplicate keyword (k5). It can be set differently. The spam index associated with the keyword may be set by the spam index calculation system operator in consideration of the damage case of the keyword. For example, a URL can be set as the highest spam index among keywords because a curious youth can access the site through a URL.

Again, referring to FIG. 2, in steps 203a to 203c, the spam index calculation system may check IP information, storage time information, and keywords in order to determine whether the question-answer information set is spam. The spam index calculation system may identify each abusing element by referring to the spam index table, IP information in the i1 to the i4, storage time information in the t1 and the t2, and the keyword in the k1 to k5. The spam index calculation system may extract a keyword from the question-answer information set and match it with a predetermined keyword spam index table to identify the keyword. Details of keyword checking will be described later with reference to FIGS. 6 to 8.

In step 204, the spam index estimating system may calculate a spam index of the question-answer information set. The spam index calculation system may calculate a total spam index obtained by adding up a spam index associated with the IP information, a spam index associated with the storage time information, and a spam index associated with the keyword. For example, when the spam index of the IP information is "150", the spam index of the stored time information is "90", and the spam index of the keyword is "160", the spam index calculation system determines the spam index. The sum of all the "400" can be calculated as the total spam index of the question-answer information set.

In step 205, if the total spam index is greater than the spam detection score, the spam index calculation system may detect the question-answer information set as spammy posts. The spam detection index may be set to a minimum total spam index that can be detected as spam postings, or may be set by the spam index calculation system operator. For example, if the spam detection index is set to " 500 ", if the total spam index of the question-answer information set is less than 500, it may not be detected as a spam post, although the spam index is calculated. When the total spam index is 600, since the spam detection index is greater than the spam detection index, the question-answer information set may be detected as a spam posting.

In step 206, the spam index estimating system may exclude the question-answer information set detected as the spammy post from the search list and report it to the operator. Steps 201 to 206 are performed before the question-answer information set is posted to a web page, and if the question-answer information set is not a spammy post. However, if detected as the spam posts, even if other netizens input a search word associated with the question-answer information set, the question-answer information set may be deleted from the search list so as not to be searched.

According to an embodiment of the present invention, the spam index calculation system deletes the search list for a predetermined time, for example, for about two weeks, and grasps information such as a questioner, an answerer, and the like, which are related to the spam posts, by the questioner, The user who posted the spammy post may be processed by collectively deleting or forcibly leaving the post posted by the responder.

As described above, according to the present invention, an intelligent system for effectively detecting and pre-processing malicious spam can be provided.

4 is a flowchart illustrating a spam index calculation method associated with IP information according to an embodiment of the present invention.

In FIG. 4, the procedure of confirming the IP information of the step 203a will be described in detail.

In steps 401 and 402, the spam index estimating system may identify the interrogator IP information and the responder IP information of the question-answer information set. According to an embodiment of the present invention, the spam index calculation system may identify the IP address of the interrogator IP information and the answerer IP information, or may identify a C-Class IP address.

In step 403a, the spam index calculation system may determine whether a question-answer information set having the same questioner IP information and the answerer IP information exists with reference to the database. For example, in order to register a spammy post, if user A registers question information, and if user B registers a plurality of question-answer information sets in a manner that registers the answer information, one of the question-answer information sets stored in the database A plurality of question-answer information sets registered by the user A and the user B will be found.

In step 404, the spam index calculation system may calculate a spam index by referring to the spam index table when the question-answer information set having the same questioner IP information and the answerer IP information exists. According to an embodiment of the present invention, the calculated spam index may be a spam index of IP information.

Alternatively, in step 403b, the spam index calculation system may determine whether a question-answer information set having the same questioner IP information and the answerer IP information exists. For example, if user A registers both question information and answer information, the IP address of the question information and the answer information will be the same. Alternatively, when the question information and the answer information are registered through a small network, the C-Class IP address of the question information and the answer information will be the same.

In step 404, the spam index calculation system may calculate a spam index by referring to the spam index table when the question-answer information set having the same questioner IP information and the answerer IP information exists. For example, the spam index estimating system may use 150 or 90 as the spam index if the total IP addresses are the same, or 100 or 80 as the spam index if the C-Class IP addresses are the same. Can be calculated.

5 is a flowchart illustrating a spam index calculation method associated with stored time information according to an embodiment of the present invention.

In FIG. 5, a procedure of confirming the storage time information of the step 203b will be described in detail.

In step 501, the spam index calculation system may identify visual information in which question information is stored in a database. When the spam index calculation system receives question information from a questioner, the spam index calculation system stores the information in the database instead of posting it directly to a web page, and posts it to a web page only when it is determined that the spam information is not spam.

In step 502, the spam index calculation system may identify storage time information of answer information associated with the question information. The spam index calculation system may identify storage time information of all answer information associated with the question information.

In step 503, the spam index estimating system may identify adoption time information for which the response information has been adopted as the answer. The questioner may adopt one of the answer information associated with the question information as the answer information.

In step 504a, the spam index calculation system may determine whether a difference between the storage time information of the question information and the storage time information of the answer information is smaller than predetermined reference registration time information. The reference registration time information may be set to an average time required to view the question information and input the answer information. For example, the reference registration time information may be set to 10 minutes or 1 hour. In one embodiment, when the questioner registers the question information, the answerer immediately registers the answer information so that the reference registration time information may be very short. In this case, the spam index calculation system may calculate a spam index by suspecting a spam posting when there is a question-answer information set having very short reference registration time information.

Alternatively, in step 504b, the spam index calculation system may determine whether a difference between the storage time information of the response information and the adoption time information is smaller than predetermined response reflection time information. The response reflection time information may be set to an average time required for the questioner to see the answer information and adopt it as an answer. For example, the response reflection time information may be 1 minute, 3 minutes, 1 hour, and the like. In one embodiment, when the questioner and the answerer negotiate and the questioner registers the question information, the answerer immediately registers the answer information, and when the questioner adopts the answer information as the answer, the answer reflecting time information is It can be very short. In this case, the spam index calculation system may calculate a spam index by suspicious of spammy posts when there is a question-answer information set having a very short response reflection time.

In step 504, the spam index calculation system may calculate a spam index for the set of question-answer information according to the corresponding abusing element with reference to the spam index table. According to an embodiment of the present invention, the calculated spam index may be a spam index of stored time information.

6 is a flowchart illustrating a method of calculating a spam index associated with a keyword according to an embodiment of the present invention.

In FIG. 6, a procedure of confirming the keyword of step 203c will be described in detail.

In step 601, the spam index calculation system may maintain a keyword spam index for each keyword in the keyword spam index table.

A description with reference to FIG. 7 is as follows. 7 is a diagram illustrating the structure of a keyword spam index table according to one embodiment of the present invention.

As shown, the keyword spam index table may maintain keywords associated with URL (k1), advertising keyword (k2), adult keyword (k3), and specific syllable frequency (k4), and maintain the keyword spam index for each keyword. . The spam index calculation system may give a keyword spam index differential in consideration of keyword attributes, and calculate a high index for a keyword that increases discomfort.

In step 602, the spam index estimating system may extract keywords from the set of question-answer information. The spam index estimating system may extract keywords for all question-answer information sets stored in the database. However, after checking IP information and storage time information, the spam index calculation system extracts keywords for question-answer information sets that are likely to be spam posts. can do.

In step 603, the spam index calculation system may match the extracted keyword with a keyword stored in the keyword spam index table. The spam index calculation system may match the extracted keyword to a keyword included in a URL, an advertisement keyword, an adult keyword, and a specific syllable frequency.

In step 604, the spam index calculation system may identify a keyword spam index that matches the extracted keyword with reference to the keyword spam index table. According to an embodiment of the present invention, the spam index calculation system may identify the keyword spam index as one keyword for the same keyword.

In step 605, the spam index estimating system may calculate the spam index of the question-answer information set according to the identified keyword spam index. According to an embodiment of the present invention, the calculated spam index may be a spam index of a keyword.

8 is a flowchart illustrating a method of calculating a spam index associated with a keyword according to another embodiment of the present invention.

In step 801, the spam index estimating system may extract keywords from the question-answer information set.

In step 802, the spam index calculation system may identify whether there is a repeated keyword among the extracted keywords. For example, the spam index calculation system may identify whether there is a question-answer information set in which harmful advertisement keywords such as English and computers are repeatedly detected, or popular keywords such as Park Ji-sung and Lee Young-pyo are repeatedly detected.

In step 803, the spam index estimating system calculates a spam index of the question-answer information set according to the corresponding abusing element with reference to the spam index table when there is a keyword repeated in the question-answer information set. can do. Referring to FIG. 3, the spam index for the duplicate keyword is "80". According to an embodiment of the present invention, the spam index calculation system may determine whether to repeat per keyword extracted from the question-answer information set, and calculate the total spam index associated with the keyword by adding all the spam indexes accordingly. have.

9 is a block diagram showing a configuration of a spam index calculation system according to an embodiment of the present invention.

The spam index calculation system 900 includes a database 910, a spam index table 920, a keyword spam index table 930, a time information check unit 940, a keyword check unit 950, and an IP information check unit 960. The spam index calculation unit 970 and the post processing unit 980 may be included.

The database 910 may include storage time information of question information for each question-answer information set, storage time information of answer information, adoption time information of the answer information, the questioner IP information, and the answerer IP information.

The spam index table 920 may maintain an abusing element associated with IP information, stored time information and keywords, and a spam index corresponding to the abusing element (see FIG. 3).

The keyword spam index table 930 may maintain a keyword associated with a URL, an advertising keyword, an adult keyword, and harmful syllables, and a keyword spam index differentially assigned to each of the URL, the advertising keyword, the adult keyword, and the harmful syllable (FIG. 7).

The visual information checking unit 940 may check the stored visual information in which a question-answer information set including question information and answer information associated with the question information is stored in a predetermined database. Specifically, the visual information confirming unit 940 identifies the storage time information of the question information and the storage time information of the answer information, or adopts the answer information as the answer of the question information from the questioner who inputs the question information. Visual information can be identified.

When the difference between the storage time information of the question information and the storage time information of the answer information is smaller than a predetermined reference registration time information, the spam index calculation unit 970 refers to the spam index table to determine the question according to the corresponding abusing factor. The spam index for the answer information set can be calculated. The reference registration time information may be set to an average time required to view the question information and input the answer information. For example, the reference registration time information may be set to 10 minutes or 1 hour.

Alternatively, if the difference between the storage time information of the response information and the adoption time information is smaller than a predetermined response reflecting time information, the spam index calculation unit 970 may refer to the spam index table and answer the question-answer according to the corresponding abusing factor. You can also calculate the spam index for a set of information. The response reflecting time information may be set to an average time required for the questioner to view the answer information and adopt it as the answer.

The keyword checking unit 950 may check keywords included in the question-answer information set. The keyword verification unit 950 may extract a keyword from the question-answer information set and match the extracted keyword with a keyword stored in the keyword spam index table. The keyword verification unit 950 may extract a keyword from the question-answer information set, and identify whether there is a repeated keyword among the extracted keywords.

The spam index calculation unit 970 may identify a keyword spam index that matches the extracted keyword with reference to the keyword spam index table, and calculate a spam index of the question-answer information set according to the identified keyword spam index. Can be. Since the keyword spam index table has a different keyword spam index for each keyword, the question-answer information set including a keyword having a high keyword spam index has a higher overall spam index and thus has a higher probability of being detected as a spam post.

Alternatively, when there is a keyword repeated in the question-answer information set, the spam index calculation unit 970 may calculate the spam index of the question-answer information set according to the abusing factor with reference to the spam index table. have.

The IP information confirming unit 960 identifies the interrogator IP information input the question information and the answerer IP information input the answer information, and the question-answer having the same questioner IP information and the answerer IP information with reference to the database. You can check whether the information set exists. The spam index calculation unit 970, when there is a question-answer information set having the same questioner IP information and the answerer IP information, refers to the spam index table and determines the spam index of the question-answer information set according to the abusing element. Can be calculated.

In addition, the IP information checking unit 960 may check whether a question-answer information set having the same questioner IP information and the answerer IP information exists. In this case, the IP information checking unit 960 may check whether the questionnaire IP information and the answerer IP information have the same IP address and the C-Class IP address. The spam index calculation unit 970 refers to the spam index table according to whether the total IP address of the interrogator IP information and the answerer IP information is the same and the C-Class IP address is the same. The index can be calculated.

The spam index calculation unit 970 calculates a first spam index associated with the storage time information, a second spam index associated with the keyword, and a third spam index associated with the IP information with reference to the spam index table. The total spam index may be calculated by adding the first spam index, the second spam index, and the third spam index. Accordingly, when the total spam index is greater than the spam detection index, the spam index calculation unit 970 may detect the question-answer information set as spam postings. The spam detection index may be set to a minimum total spam index that can be detected as spam postings, and may be set by the spam index calculation system operator.

The post processing unit 980 deletes the question-answer information set from the search list for a predetermined time, when the question-answer information set is detected as a spam post according to the calculated spam index, and the question-answer information The set may be reported to the spam index calculation system 900 operator. The predetermined time may be one day, one week, or one month, and may be determined by the operator.

The spam index estimating method according to the present invention can be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the media may be those specially designed and constructed for the purposes of the present invention, 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. The medium may be a transmission medium such as an optical or metal wire, a waveguide, or the like including a carrier wave for transmitting a signal specifying a program command, a data structure, or the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, although the present invention has been described with reference to limited embodiments and drawings, the present invention is not limited to the above embodiments, and those skilled in the art to which the present invention pertains various modifications and variations from such descriptions. This is possible.

Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined not only by the claims below, but also by those equivalent to the claims.

According to the present invention, the interrogator / answerer IP information included in the question-answer information set is determined, the spam index is calculated according to the abusing element associated with the IP information, and the storage time information is checked by confirming the storage time information of the question information / answer information. Calculate a spam index according to the abusing factor associated with the keyword, calculate a keyword from the question-answer information set, match the keyword stored in a keyword spam index table, calculate a spam index according to the abusing factor associated with the keyword, and each abusing If the total sum of spam scores calculated according to factors is higher than the spam detection score, the question-answer information set is detected as a spam posting, excluded from the search list for a certain period of time, and reported to the system operator, thereby effectively detecting malicious spam. It can provide an intelligent system that processes in advance.

Further, according to the present invention, a spam index is calculated according to each arranging element of the question-answer information set before registering a web page for a question-answer information set registered in real time, and the spam index is not suspected to be spam. By posting on the web page only when it is not, it is possible to increase the search credibility and improve the search quality.

In addition, according to the present invention, the keyword spam index given by the keyword is maintained in the keyword spam index table, the keyword is extracted from the question-answer information set, and the extracted keyword is matched with the keyword spam index table, and the keyword is matched. By estimating the spam index according to the corresponding keyword spam index, it is easy to detect a question-answer information set including a keyword having a high keyword spam index as a spam posting, and to exclude the spam posting from the search list so that the spam posting is You can prevent it from being exposed to the page.

Claims (31)

A first step of identifying a set of question-answer information including question information and answer information associated with the question information, identifying stored time information stored in a database, and identifying an abusing element for the identified stored time information; Identifying a keyword included in the question-answer information set and identifying an abusing element for the identified keyword; Identifying IP information in the question-answer information set and identifying an arranging element for the identified IP information; If the abusing element is identified in at least one of the first, second, and third steps, extracting a spam index corresponding to the identified abusing element from a spam index table; And Calculating a total spam index by summing the extracted spam indexes Spam index calculation method comprising a. The method of claim 1, The third step, Identifying the questioner IP information of the questioner who inputs the question information and the answerer IP information of the answerer who has entered the answer information; And If the identified interrogator IP information and the answerer IP information are the same, identifying in the spam index table an abusing element associated with the same questioner and answerer's IP as the abusing element; Spam index calculation method comprising a. The method of claim 1, The third step, Identifying the interrogator IP information of the interrogator who input the question information and the answerer IP information of the responder who inputs the answer information adopted by the interrogator among the answer information; And If the identified interrogator IP information and the answerer IP information are the same, identifying in the spam index table an abusing element associated with the same questioner and answerer's IP as the abusing element; Spam index calculation method comprising a. The method of claim 1, The third step, Identifying the questioner IP information of the questioner who inputs the question information and the answerer IP information of the answerer who has entered the answer information; Comparing the identified interrogator IP information and the C-Class IP information of the answerer IP information; And If the C-Class IP information is the same as a result of the comparison, identifying an abusing element in the spam index table related to the same C-Class of the questioner and the answerer as the abusing element; Spam index calculation method comprising a. The method of claim 1, The third step, Identifying the interrogator IP information of the interrogator who input the question information and the answerer IP information of the responder who inputs the answer information adopted by the interrogator among the answer information; And Comparing the identified interrogator IP information and the C-Class IP information of the answerer IP information; And If the C-Class IP information is the same as a result of the comparison, identifying an abusing element in the spam index table related to the same C-Class of the questioner and the answerer as the abusing element; Spam index calculation method comprising a. The method of claim 1, The first step, Identifying storage time information of the question information and storage time information of the answer information, which are stored in the database; And If the difference between the stored time information of the identified question information and the stored time information of the answer information is less than a reference registration time information, identifying an abusing element related to adopting answer information as the abusing element in the spam index table Spam index calculation method comprising a. The method of claim 1, The first step, Identifying time-of-storage information of the question information stored in the database and time-of-adoption of the answer information adopted by the questioner who inputs the question information among the answer information; And If the difference between the stored time information of the identified question information and the adopted time information is smaller than the response reflecting time information, identifying an abusing element related to adopting the answer information as the abusing element in the spam index table; Spam index calculation method comprising a. The method of claim 1, The first step, Identifying time-of-storage information of the answer information stored in the database and time-of-adoption of the answer information adopted by the questioner who inputs the question information among the answer information; And If the difference between the stored time information of the identified answer information and the adopted time information is smaller than the response reflecting time information, identifying an abusing element related to adopting the answer information as the abusing element in the spam index table; Spam index calculation method comprising a. The method of claim 1, The second step, Extracting URL information from the question-answer information set; And When the extracted URL information is registered in advance in association with spam, identifying an abusing element related to UEL detection registered as the abusing element in the spam index table. Spam index calculation method comprising a. The method of claim 1, The second step, Identifying whether an advertising keyword is included in the set of question-answer information; And If an advertising keyword is identified, identifying in the spam index table an abusing element relating to advertising keyword detection as the abusing element; Spam index calculation method comprising a. The method of claim 1, The second step, Identifying whether adult text is included in the set of question-answer information; And If adult text is identified, identifying in the spam index table an abusing element relating to adult text detection as the abusing element Spam index calculation method comprising a. The method of claim 1, The second step, Identifying whether syllables satisfying a selected frequency are included among syllables included in the question-answer information set; And If a syllable that satisfies the selected frequency is identified, identifying an abusing element associated with a high specific syllable frequency as the abusing element in the spam index table; Spam index calculation method comprising a. The method of claim 1, The second step, Identifying whether a keyword satisfying a selected frequency is included among the keywords included in the question-answer information set; And If a keyword satisfying the selected frequency is identified, identifying the abusing element associated with the duplicate keyword as the abusing element in the spam index table; Spam index calculation method comprising a. The method of claim 1, The second step, Maintaining a keyword spam index for each keyword in the keyword spam index table; Extracting keywords from the question-answer information set; And Identifying a keyword spam index matching the extracted keyword by referring to the keyword spam index table Spam index calculation method comprising a. The method of claim 12, The above step of maintaining the keyword spam index in the keyword spam index table, Differentially assigning a keyword spam index to each of the URL, the advertising keyword, the adult keyword, and the harmful syllable; And Associating the differentiated keyword spam index, the URL, the advertisement keyword, the adult keyword, and the harmful syllable, respectively, and maintaining the keyword spam index in the keyword spam index table. Spam index calculation method comprising a. The method of claim 12, The step of calculating the total spam index, Calculating the total spam index in view of the identified keyword spam index Spam index calculation method comprising a. The method of claim 1, If the calculated total spam index is greater than the spam detection index, detecting the question-answer information set as spam postings Spam index calculation method characterized in that it further comprises. The method of claim 17, Deleting the set of question-answer information detected as spam posts from the search list for a predetermined time; or Reporting the set of question-answer information detected as spammy posts to a system operator Spam index calculation method characterized in that it further comprises. A computer-readable recording medium having recorded thereon a program for executing the method of any one of claims 1 to 18. A time-information confirming unit, which includes a question-answer information set including question information and answer information associated with the question information, for confirming stored time information stored in a database; A keyword checking unit that checks keywords included in the question-answer information set; An IP information confirming unit confirming IP information of the question-answer information set; And Identifying an abusing element for each of the identified storage time information, keywords, and IP information, and when the abusing element is identified, extracting a spam index corresponding to the identified abusing element from a spam index table, and extracting A spam index calculation that adds the total spam scores to yield a total spam score Spam index calculation system comprising a. The method of claim 20, The IP information verification unit, Identifies the questioner IP information of the questioner who inputs the question information and the answerer IP information of the answerer who inputs the answer information, The spam index calculation unit, And if the identified interrogator IP information and the answerer IP information are the same, an abusing element associated with the same questioner and answerer's IP as the abusing element is identified in the spam index table. The method of claim 20, The IP information verification unit, Identify the interrogator IP information of the interrogator who entered the question information and the answerer IP information of the answerer who input the answer information adopted by the interrogator among the answer information, The spam index calculation unit, And if the identified interrogator IP information and the answerer IP information are the same, an abusing element associated with the same questioner and answerer's IP as the abusing element is identified in the spam index table. The method of claim 20, The IP information verification unit, Identifies the questioner IP information of the questioner who inputs the question information and the answerer IP information of the answerer who inputs the answer information, The spam index calculation unit, Comparing the identified C-Class IP information of the interrogator IP information and the answerer IP information, and if the comparison results in the same C-Class IP information, abusing the C-Class of the interrogator and the answerer as the abusing element. Spam index estimating system, characterized in that an element is identified in said spam index table. The method of claim 20, The IP information verification unit, Identify the interrogator IP information of the interrogator who entered the question information and the answerer IP information of the answerer who input the answer information adopted by the interrogator among the answer information, The spam index calculation unit, Comparing the identified C-Class IP information of the interrogator IP information and the answerer IP information, and if the comparison results in the same C-Class IP information, abusing the C-Class of the interrogator and the answerer as the abusing element. Spam index estimating system, characterized in that an element is identified in said spam index table. The method of claim 20, The time information confirmation unit, Identify storage time information of the question information and storage time information of the answer information, which are stored in the database, The spam index calculation unit, When the difference between the stored time information of the identified question information and the stored time information of the answer information is smaller than a reference registration time information, identifying the abusing element related to adopting the answer information as the abusing element in the spam index table. Spam index calculation system. The method of claim 20, The time information confirmation unit, Identifying the stored time information of the question information and the adopted time information about the answer information adopted by the questioner who input the question information among the answer information, stored in the database, The spam index calculation unit, And when the difference between the stored time information of the identified question information and the adopted time information is smaller than the response reflecting time information, an spamming element related to adopting the answer information as the abusing element is identified in the spam index table. Index calculation system. The method of claim 20, The time information confirmation unit, Identifying time-of-storage information of the answer information stored in the database and time-of-adoption of the answer information adopted by the questioner who inputs the question information among the answer information; The spam index calculation unit, And when the difference between the stored time information of the identified answer information and the adopted time information is smaller than the response reflecting time information, an spamming element related to adopting the answer information as the abusing element is identified in the spam index table. Index calculation system. The method of claim 20, The keyword verification unit, Extract URL information from the question-answer information set, The spam index calculation unit, And when the extracted URL information is registered in advance in association with spam, an spamming table relating to UEL detection registered as the bridging element in the spam index table. The method of claim 20, The keyword verification unit, Identify whether an advertising keyword is included in the set of question-answer information, The spam index calculation unit, And if an advertising keyword is identified, identifying an abusing element related to detection of the advertising keyword as the abusing element in the spam index table. The method of claim 20, The keyword verification unit, Identify whether adult text is included in the set of question-answer information, The spam index calculation unit, And if adult text is identified, identifying in said spam index table an abusing element relating to adult text detection as said abusing element. The method of claim 20, The keyword verification unit, Identifying whether syllables or keywords satisfying a selected frequency are included among syllables or keywords included in the question-answer information set, The spam index calculation unit, And if a syllable or a keyword satisfying the selected frequency is identified, an abusing element associated with a specific syllable frequency or a duplicate keyword as the abusing element is identified in the spam index table.

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