JP2023086526A - Article monitoring system, method of monitoring article describing notice information, and computer program - Google Patents

Abstract

To provide a technology for generating page views for each article.SOLUTION: On the basis of the total number of views on a website 100 where a target article is posted and the site structure of the website, a BPV generation unit 151 generates a first page view which is the expected number of views of one article in one day, and on the basis of the link position of the target article, an FPV generation unit 152 generates a second page view which is the estimated number of views that reach a target article in one second, and a DPV generation unit 153 generates a third page view which is the estimated number of views of the target article obtained by adding the first page view and the second page view, and displays this third page view in chronological order.SELECTED DRAWING: Figure 1

Description

The present invention relates to an article monitoring system for monitoring the publication status and viewing status of articles describing attention information in various media.

Web (World Wide Web) media and social media are rapidly spreading. A page displayed on a web medium is called a web page, and a group of web pages is called a website or the like. Social media is media that includes social elements such as information transmission (posting) by individuals and connections between individuals.The page on which posts are posted is called a posting page, and the collective unit is called a posting site. . Posting sites are classified into, for example, blogs, SNSs (Social Networking Services), video sharing sites, and message posting sites. Social media and web media are sometimes linked to each other. For this reason, it is well known that once topical information is published somewhere, the content of the information and its URL (Uniform Resource Locator) are rapidly spread through various media.

One example of media utilization that focuses on the nature of such media is so-called Internet advertising, and Patent Document 1 discloses a technique for measuring the number of people expected to reach an advertisement posted on a Web page (the number of reach). there is Further, Patent Literature 2 discloses a technique for capturing unintended exposure states of information other than advertisements, such as product information specified by keywords, in a plurality of media. According to Patent Document 2, the unintended exposure can be quantified by the number of reach obtained by dividing the monthly total page views (number of views) of the page on which the article exists by the number of monthly articles.

Japanese Unexamined Patent Application Publication No. 2011-216120 Japanese Patent Application Laid-Open No. 2020-24599

The reach numbers described in Patent Literatures 1 and 2 are calculated based on page views of web pages. However, the page view used here does not take into account the site structure of the website on which the web page is posted, the link path for reaching individual articles, and the like.

In recent years, the top page of a Web site has a structure in which backlinks to various articles and advertisements are pasted, and related articles are classified by category to lead to lower layer pages. Therefore, it can be said that there are countless link paths to reach individual articles, but the conventional page view is the number of views per web page, and the total number of links in one web page and the article describing the attention information It is not an indicator of the number of views that focuses on the link position of In recent years, a virtual page view has been proposed as a method of web analysis to solve such problems, but this virtual page view is also based on each web page.

In view of the above background, the present invention provides an information processing mechanism for monitoring the publication status and viewing status of articles describing attention information in various media, and in particular, the publication status and viewing status according to the link status of individual articles. The main subject is to provide a technology to generate a new concept of page views in which is quantified for each article. Other objects of the present invention will become apparent from the disclosure of the specification and drawings.

One aspect of the present invention is an article monitoring system. This article monitoring system searches for media sites that have published target articles that describe attention information, and calculates the site structure of the identified media sites, the article viewing rate for each article category, the total number of views, and the total number of articles. an acquisition means for acquiring; a first means for generating a first page view which is an assumed number of views of one article in a first period based on the total number of views and the site structure; and a link position of the target article. a second means for generating a second page view that is an estimated number of views reaching the target article in a second period shorter than the first period based on the identified link position; and the first page view. and a third means for generating a third page view, which is an assumed number of views of the target article including the second page view and the second page view.

Another aspect of the present invention is to search for a media site that publishes a target article describing attention information, and search for the site structure of the identified media site, the article viewing rate for each article category, the total number of views, and the total number of articles. A method performed by an article monitoring system that acquires and stores a number, wherein the article monitoring system determines the expected number of views of an article in a first period based on the total number of views and the site structure. a first processing step of generating one page view; identifying a link position of the target article; and based on the identified link position, an estimated number of views reaching the target article in a second period shorter than the first period. and a third processing step of generating a third page view, which is the estimated number of views of the target article including the first page view and the second page view. and a storage processing step of storing a copy of the target article together with the date and time when the target article was discovered.

Another aspect of the invention is a computer program that causes a computer or computer system to function as an article monitoring system according to any one of claims 1-4.

According to the present invention, the publication status and viewing status of articles describing attention information in various media are quantified for each target article by first page views, second page views, and third page views. Even if it is just a small part of the article posted on a popular media site, it is possible to easily grasp the posting status (where it is posted) and the viewing status (how many times it has been viewed). can.

1 is a functional block diagram showing an example of the overall configuration of an article monitoring system according to this embodiment; FIG. FIG. 2 is an exemplary diagram of the site structure of a website; Explanatory diagram of interest as an example of article classification. Explanatory diagram of the intra-page link position and the total number of links of the target article. Procedure explanatory drawing of a site registration process. Procedure explanatory drawing of a media site analysis process. FIG. 10 is a diagram for explaining the procedure of page view generation processing; FIG. 10 is a procedure explanatory diagram of basic page view generation processing; FIG. 10 is a procedure explanatory diagram of an inflow page view generation process; FIG. 10 is a diagram for explaining the procedure of post page view generation processing; FIG. 10 is a procedure explanatory diagram of document page view generation processing; FIG. 10 is an exemplary view of monitoring results displayed on the client browser of the user terminal;

An embodiment in which the present invention is applied to an article monitoring system for quantifying the posting status and viewing status of articles describing attention information to be monitored or captured will be described below.
Note that when it is necessary to distinguish an article describing attention information to be monitored or captured from other articles, it is referred to as a "target article" for convenience.

<Configuration example>
FIG. 1 is a functional block diagram showing an example of the overall configuration of an article monitoring system 1 of this embodiment. The article monitoring system 1 is a computer system having a server function connected to the Internet NW, and includes one or more CPU (Central Processing Unit), RAM (Random Access Memory), ROM (Read Only Memory), mass storage and It has various I/O (Input/Output) interfaces. Various websites 100, posting sites 200, and user terminals 300 operated by registered users of the article monitoring system 1 are connected to the Internet NW. The user terminal 300 can exchange information bidirectionally with the article monitoring system 1 or the website 100 and the posting site 200 through the client browser.

By executing the computer program of the present invention, the article monitoring system 1 comprises an input/output control unit 11, a user management unit 12, a web management unit 13, a social media management unit 14, a page view generation unit 15, an output 16 and a main control unit 18 that controls these functional blocks in an integrated manner. The operation of each functional block will be described later in detail.

The article monitoring system 1 can also store data in a user (DB stands for database, hereinafter the same) DB 31, site profile DB 32, site structure DB 33, article DB 34, and social media DB 35, and read out the stored data. configured as

In the user DB 31, the authority information of the user terminal 300 that permits access to the article monitoring system 1 and the search conditions specified by the registered user are associated with the user ID (ID is identification information, hereinafter the same), and are stored for each registered user. be registered. The search conditions are, for example, the Web page or Web site where the target article is posted, characteristic information (characteristic words and their synonyms, etc.) for searching the target article, a period of monitoring or acquisition, one aggregation cycle, and the like.

The site profile DB 32 stores the site profile of the web page on which the target article specified by the search is posted. One of the site profiles is monthly total page views A1 including page views of target articles and monthly article count A3, which will be described later. The site structure DB 33 stores the site structure of the web page on which the target article is posted, and interest A2, which is the relative article viewing rate for each category resulting from the site structure, in association with the target article. The article DB 34 stores copies of posts related to target articles posted on websites identified by search and target articles posted on posting sites. Note that the monthly article count A3 may be stored in the article DB34 instead of the site profile DB32. The social media DB 35 stores the site profile of social media such as blogs and SNS, the URL of the post related to the target article, the copy of the post, and the evaluation information for the post, and the date and time of discovery of the post. minutes and seconds).

Next, the functional blocks 11 to 18 of the article monitoring system 1 will be explained. The input/output control unit 11 controls exchange of information with each website 100, posting site 200, and user terminal 300 connected to the Internet NW. The user management unit 12 registers the authority information of the user terminal 300 accessing the article monitoring system 1 and the user who operates it in the user DB 31 . A registered user is hereinafter referred to as a "registered user". The user management unit 12 also associates the search conditions specified by the registered users with the user IDs and stores them in the user DB 31 for each user. The user management unit 12 also performs authentication processing for authenticating using the authority information when there is an access from the user terminal 300 .

The web management unit 13 performs determination processing of search conditions, search processing of periodically crawling the Internet NW based on the determined search conditions to search for websites on which target articles are posted, and analysis of the websites. processing and analysis processing of the target article. The social media management unit 14 searches for posts related to the target article, and performs media site analysis processing for analyzing posts identified by the search and information posted accompanying the posts (posts, etc.). The accompanying information includes, for example, evaluation information including information for agreeing with or replying to the posting.

The page view generator 15 includes a basic page view (BPV) generator 151 as an example of the first means, an inflow page view (FPV) 152 generator as an example of the second means, and an example of the third means. A document page view (DPV) generation unit 153 is included as a detailed block, and the function of these detailed blocks generates a document page view, which is a page view of the target article. The output unit 16 performs processing for outputting to the user terminal 300 the document page views of the target article during the period entered by the registered user, part or all of the copy of the target article or post, evaluation information, and other information. .

<Operation example>
Next, an operation example of the article monitoring system 1 configured as described above will be described. Here, one of the websites on which the target article is posted has a site structure as shown in FIG. are various as shown in FIG. 3, and the target article on which the posted article is posted is posted at approximately the middle position of the page exemplified in FIG.

5 to 12 are explanatory diagrams of processing steps executed by the main control unit 18 in cooperation with other functional blocks. FIG. 5 is a procedure explanatory diagram of site registration processing. Referring to FIG. 5, the main control unit 18 determines characteristic phrases representing characteristics of attention information (S101). That is, when a term that the registered user is interested in is input from the user terminal 300, the main control unit 18 performs semantic analysis of the term and extracts synonyms of the term from a term dictionary (not shown). A phrase specified by a registered user is determined as a characteristic phrase.

When the characteristic phrase is determined, the main control unit 18 executes a search including the characteristic phrase as a search condition, and searches for web pages on the Internet NW on which target articles matching the search condition are posted (S102). . If the Web page is not found, the process returns to S101, the characteristic phrase is re-determined, and the subsequent processes are repeated (S103: N). If the web page is found (S103: Y), the main control unit 18 acquires information necessary for media site analysis of the media site (at least one of the website and the posting site) where the web page exists (S104). . After that, the main control unit 18 causes the web management unit 13 and the social media management unit 14 to execute media site analysis processing (S105), and saves the analysis results in the site profile DB 32, site structure DB 33, article DB 34, and social media DB 35 ( registration) (S106).

The media analysis processing of S105 is executed according to the flow of the processing procedure explanatory diagram of FIG. That is, the main control unit 18 determines whether or not the medium that publishes the target article is a website (S201). If it is a web site (S201: Y), the main control unit 18 entrusts the web management unit 13 with subjective execution of processing.
The web management unit 13 specifies the discovery date and time (year, month, day, hour, minute, second) of the target article, the site profile of the website, the URL of the target article, the copy of the target article, the site structure (for example, the link structure of the URL group), These are saved (S202). The copy may be page-by-page, or may be only a part such as a headline. A copy may also be only a portion of the subject article. The storage destinations are the site profile DB 32 for the site profile, the site structure DB 33 for the site structure, the URL of the target article, the copy, and the article DB 34 for the discovery.

One of the site profiles is the monthly total page views A1 including page views of the target article, and the other is the monthly number of articles A3 including the target article. These data are specified from the data published by the operator of the website, the main site operating site such as Google (registered trademark), or the data recorded in the monthly media data produced by Media Research Sensor Co., Ltd. be able to.
The site structure can be specified, for example, by crawling the website based on the URL of the target article and tracing the link sources within the site until there are no more link destinations within the site. In other words, there is no need to perform complex calculations based on the statistical values and parameters of a huge number of links of Web sites, which is often performed, which is advantageous in terms of cost.

The Web management unit 13 also redistributes the number of views for each category uniquely classified on a plurality of Web sites where the target article is posted to categories of a predetermined number of items of common expressions, and aggregates them. Then, a visitor's taste A2, which is the relative reading rate for each category, is generated and stored in association with the target article (S203).

For example, the target article is posted on site X, site Y, . . . site Z shown in FIG. Or the backlink of the target article is pasted directly on the top page. In the present embodiment, 13 categories of common expressions exemplified in FIG. 3 are defined in response to the fact that other sites are classified into different categories of expressions. In the example of FIG. 3, 13 items of society, politics, economy, international, entertainment/culture, sports, life, science/IT, medical/health, area, breaking news/new arrivals, ranking, and pre-release are exemplified. , but not limited to this item example. The Web management unit 13 redistributes the number of views for each category posted on each site X, Y, and Z to items of common expressions.

For example, in the site structure of FIG. 2, there is an item of "entertainment" in the second layer, but since the common item in FIG. For example, the number of views will be redistributed to the item of "entertainment". Then, the relative viewing rate when the overall sum value Σ is 1.0 is totaled as shown in FIG. Interest A2 is dynamically updated each time a website containing the target article is added.

The Web management unit 13 further performs article analysis of the target article and life-and-death monitoring of the target article, and saves the analysis result and the monitoring result in the article DB 34 . One of the article analyzes is, for example, a process of specifying the link position F within the page of the target article and the total number of links G of the page shown in FIG.

The intra-page link position F is an address value from the top address of the page, which is set by, for example, an HTML anchor link. When the top address starts from 0, when using it for calculation with other parameters, 1 is subtracted from the page link position F, as will be described later. Since the website has a list of links to each article, it is easy to obtain the total number of links G, but it may be measured independently. The higher the link position of the target article, the higher the probability that a visitor will transition from a higher-level page to the target article. It is useful information for quantifying (indicator representing ease of transition).

Life-and-death monitoring is a process after the target article is first found (confirmed), and is a process of monitoring whether the target article continues to exist on the website at the time of checking. Specifically, the date and time of first discovery is saved in the article DB 34 as the final confirmation date and time (year, month, day, hour, minute, second) in association with the target article, and the final confirmation date and time is updated each time the check is repeated. When the target article can no longer be confirmed, the closing date and time (year, month, day, hour, minute, second) are saved together with the last confirmation date and time. The difference value between the last confirmation date (year/month/day/hour/minute/second) and the closing date/time (year/month/day/hour/minute/second) is used as the existence period E of the target article.

In S201, if the media site is other than the website (S201: N), the main control unit 18 entrusts the social media management unit 14 with the subjective execution of processing. The social media management unit 14 acquires a site profile of a posting site such as a blog or SNS, a post whose description partially or entirely matches the target article in the post, or evaluation information for the post (S204). The site profile is, for example, the site name of the site and the number of participants of the site, and the evaluation information is, for example, the number of tweets, retweets, likes, and followers for posts related to the target article. is. If the page views for the post are published, those page views should also be acquired as one of the evaluation information.

The social media management unit 14 also copies the post related to the target article, and stores the copy in the article DB 34 in association with the target article together with the discovery date and time (year, month, day, hour, minute, second) of the post (S207). The reproduction may be of the entire post, or just a portion of the post, such as the headline or the context of the part where the subject article is written.

After completing the site registration process of FIG. 5, the main control unit 18 causes the page view generation unit 15 to execute the page view generation process. FIG. 7 is an overall processing procedure diagram of page view generation processing. Referring to FIG. 7, the page view generator 15 identifies the start and end of the period entered by the registered user (S301). After that, the page view generation unit 15 causes the BPV generation unit 151 to execute basic page view generation processing, which is the natural inflow page view per article (S302), and causes the FPV generation unit 152 to execute inflow page view generation processing ( S303). When a post regarding the target article on social media is confirmed, the page view generation unit 15 causes the social media management unit 14 to execute post page view generation processing (S304), and receives the execution result.

After that, the page view generation unit 15 causes the DPV generation unit 153 to execute document page generation processing (S305), and stores the document page views generated thereby in the article DB 34 in chronological order (S306). Then, the document page view can be output to the user terminal 300 (S307).

The basic page view generation processing S302 in FIG. 7 is executed according to the processing procedure in FIG. That is, the BPV generation unit 151 acquires and stores the monthly total page views A1, interest A2, and monthly article count A3 of the site (S3021). The storage destination may be a cache area of RAM. The same applies to subsequent processing.

The BPV generation unit 151 also obtains the monthly total page view B of the top layer page by calculating A1×k1, and obtains the monthly total page view C of the second layer page by calculating B×k2×interestingness A2. After that, the BPV generation unit 151 obtains page views D per article per day by calculating A1×(B or C)×k3×A3÷30 (days) and saves them (S3022). Of B or C, if the backlink of the article exists in the top layer, it will be B, and if it goes through the second layer, it will be C. k1, k2, and k3 are coefficient values representing the percentage of visitors transitioning from the page in question to other pages (others leaving), and published statistical values can be used.

The BPV generator 151 also calculates the existence period E of the target article (S3023). The existence period E can be obtained by calculating the last confirmation date/time minus the discovery date/time (or the beginning of the period to be described later). Then, the BPV generation unit 151 obtains a basic page view (BPV) per day for one article during the existence period using the following formula and saves it (S3024).
BPV=Σ(DD/30i) where i=1 to E

The inflow page view generation process S303 in FIG. 7 is executed according to the processing procedure in FIG. That is, the FPV generation unit 152 reads out the monthly total page views B of the uppermost layer page and the monthly total page views C of the second layer page obtained in the basic page view generation process of S302 and saved (S3031). Then, the total page views B' and C' per second flowing into the link position of the target article from the monthly total page views B and C are obtained from the following formula and stored (S3032). k4 is a coefficient value that represents the rate at which visitors transition from the page in question to other pages (others leave), and k5 is a coefficient value that represents the rate at which visitors flow into other articles within the same hierarchical page. Statistical values published for each can be used.
B' = B x k4 x k5 x 60 (seconds) x 60 (minutes)
÷ 24 (hours) ÷ 30 (days)
C' = C x k4 x k5 x 60 (seconds) x 60 (minutes)
÷ 24 (hours) ÷ 30 (days)
It should be noted that, in the calculation of B' and C', the reason why B , C are parameters resulting from the site structure and therefore change relatively slowly, whereas the visitor's page transitions occur frequently.

The FPV generation unit 152 reads the in-page link position F and the total number of links G of the target article from the storage source (S3033), obtains the inflow page view (FPV) per second of the target article from the following formula, Save (S3034). Of B' and C', if the backlink of the article exists in the top layer, it will be B', and if it goes through the second layer, it will be C'. GF is the address value of the target article with respect to the total number of links G, that is, the position of the target article on the page. -1 is because, as mentioned above, the address value starts from 0 instead of 1 in the computer. Therefore, it is necessary to subtract 1 accordingly. The FPV is updated each time a change is confirmed.
FPV = B' or C'
× (current time - last check date and time)
× (GF-1)

Posted page view generation processing S304 in FIG. 7 is executed according to the processing procedure in FIG. That is, the social media management unit 14 acquires the number of tweets, the number of retweets, the number of likes, and the number of followers of users who have tweeted (S3041), and obtains and stores posted page views (SPV), for example, from the following formula ( S3042). However, k6 is a basic coefficient determined according to the type of social media. k7 and k8 are coefficient values whose magnitude is determined according to the degree of derivation, and published statistical values can be used.
SPV = k6 + number of tweets x k7 + number of retweets
+ number of likes + followers of the post x k8

The document page view generation processing S305 in FIG. 7 is executed according to the processing procedure in FIG. That is, the DPV generation unit 153 reads out the BPV, FPV, and SPV from the storage source (S3051), obtains the document page view (DPV) of the target article from the following formula, and stores it (S3052).
DPV=BPV+FPV+SPV

For convenience of explanation of the processing, the above is an example of a case where there is one feature phrase, but there may be a plurality of feature phrases. When there are a plurality of characteristic phrases, the processes of FIGS. 7 to 11 are repeated by the number of input characteristic phrases. Further, when there are a plurality of feature words, when they represent features of common information of interest, or when they are determined to be synonyms or synonyms of each other by semantic analysis processing, each set of DPVs is set to 1. may be integrated into one DPV.

FIG. 12 is a diagram showing a screen example of an article monitoring result displayed on the client browser of the user terminal 300 by the operation of the output unit 16. As shown in FIG. The items and contents displayed on the screen can be made simpler, more detailed, or hierarchical by setting the client browser. Also, the graph is displayed only on the user terminals 300 operated by registered users other than the system operator.

In the display example of FIG. 12, one page includes a graph area 1201 that graphs the document page views (DPV) of the target article in chronological order, a monitoring/capturing start date area 1202, and a target article to be displayed in the graph area. A document page view (DPV) period region 1203 for the article is formed. The vertical axis of the graph area 1201 is DPV (natural number), and the horizontal axis is the time and date obtained by dividing the period area 1203 at equal intervals. In the illustrated example, document page views (DPV1, DPV2, DPV3) of three types of target articles are shown in chronological order.

This screen also displays a target article count area 1204 found in the period shown in the period area 1203 and introduction areas 1205 and 1206 of the found target articles. The introduction areas 1205 and 1206 are formed at higher ranks as the date and time of discovery are newer, but this order can be changed by setting.

In each of the introduction areas 1205 and 1206, the article title is a word or phrase cut out from the copy, such as a headline, but it can be edited and displayed as appropriate. A link to the copy is attached to the URL below the article name, and by clicking the URL, the saved copy can be read and displayed. The portion labeled DPV is the total number of DPVs during the period displayed in period area 1203 . The site name is the website name, but in the case of a social media site, the number of tweets, etc., which is evaluation information during the above period, is also written. The article discovery date and time displays the date and time when the article was first confirmed.

As described above, according to the article monitoring system 1 of the present embodiment, a new document page view (DPV) of the target article is used to record the publication status and viewing status of the target article posted in various forms on various media sites. It becomes quantifiable with conceptual metrics. In addition, since the copy is saved and can be read out and displayed as needed, the user can directly visually confirm the description content of the target article. Also, the article monitoring system 1 of the present embodiment facilitates clipping and saving a portion of such duplicates that is particularly worthy of attention.

In the present embodiment, the document page view (DPV) is described as being added to the posted page view (SPV), but the posted page view (SPV) can be excluded as appropriate. Alternatively, it is also possible by setting to display only the posted page view (SPV) instead of the document page view (DPV).

In the present embodiment, the first period for generating basic page views is one day, and the second period for generating inflow page views is one second. However, the first period is half a day. Alternatively, it may be 1 hour. Also, the second period may be two seconds or more or one second or less as long as it is shorter than the first period.

The present invention supplies a computer program that implements one or more functional blocks of the above-described embodiments to a computer or computer system via a network or a storage medium, and one or more processors of the computer or computer system execute the computer program. It is possible to implement even a process of reading and executing the . Also, for example, implementation is possible using an ASIC (Application Specific Integrated Circuit). It can also be implemented by linking APIs (Application Programming Interfaces) by a plurality of computers.

One aspect of the present invention is an article monitoring system. This article monitoring system searches for media sites that have published target articles that describe attention information, and calculates the site structure of the identified media sites, the article viewing rate for each article category, the total number of views, and the total number of articles. The acquisition means for acquisition, the total number of views , the transition path to the target article specified by the site structure, and the article viewing rate for each article category when the transition path passes through the article category page and the total number of articles, a first means for generating a first page view that is an assumed number of views of one article in a first period ; Based on the in-page link position , the transition path to the in-page link position, and the article viewing rate for each article category when the transition path passes through the page of the article category, from the first period a second means for generating a second page view that is the expected number of views to reach the target article in a short second period; and an expected number of views of the target article including the first page view and the second page view. and a third means for generating a third page view that is

Another aspect of the present invention is to search for a media site that publishes a target article describing attention information, and search for the site structure of the identified media site, the article viewing rate for each article category, the total number of views, and the total number of articles. A method performed by an article monitoring system that obtains and stores a number of
The article monitoring system comprises the total number of views , a transition path to the target article identified by the site structure, and an article viewing rate for each article category when the transition path passes through pages of the article category. and the total number of articles, a first processing step of generating a first page view , which is the estimated number of views of one article in a first period, and a link position within the page of the target article; Based on the in-page link position , the transition path to the in-page link position, and the article viewing rate for each article category when the transition path passes through the page of the article category, the first period a second processing step of generating a second page view that is the estimated number of views reaching the target article in a second period shorter than the assumption of the target article including the first page view and the second page view Attention information characterized by executing a third processing step of generating a third page view, which is the number of views, and a saving processing step of saving a copy of the target article together with the date and time when the target article was discovered. is a method of monitoring articles that describe

Claims (6)

Acquisition means for searching for a media site that publishes a target article describing attention information and acquiring the site structure of the identified media site, the article viewing rate for each article category, the total number of views, and the total number of articles;
a first means for generating a first page view, which is an assumed number of views of one article in a first period based on the total number of views and the site structure;
A second means for identifying a link position of the target article and generating a second page view, which is an estimated number of views reaching the target article in a second period shorter than the first period, based on the identified link position and,
a third means for generating a third page view, which is the estimated number of views of the target article including the first page view and the second page view;
An article monitoring system comprising: Social media management for searching social media on which a post containing a description of the target article is posted, and acquiring the URL of the post specified by the search and the evaluation information published by the social media for the post. It also has the means to
The third means adds a posted page preview obtained by quantifying the evaluation information to the third page view.
The article monitoring system according to claim 1. Acquire and copy the target article or post, and provide the URL of the target article or the URL of the post, a copy of the target article or post, and the date and time when the target article or post was confirmed. further comprising media management means for storing in association with the target article or a copy of the post;
The article monitoring system according to claim 2. Further comprising output means for aggregating the third page views for each predetermined period and outputting the aggregated results as time-series data in a graph displayable manner,
An article monitoring system according to any one of claims 1 to 3. Articles that search for media sites that publish target articles that describe noteworthy information, acquire and store the site structure of the identified media sites, the article viewing rate for each article category, the total number of views, and the total number of articles. A method performed by a monitoring system, comprising:
The article monitoring system
a first processing step of generating a first page view, which is an assumed number of views of one article in a first period based on the total number of views and the site structure;
A second process of identifying a link position of the target article and generating a second page view, which is an estimated number of views reaching the target article in a second period shorter than the first period, based on the identified link position. a step;
a third processing step of generating a third page view, which is the estimated number of views of the target article including the first page view and the second page view;
and a storage processing step of storing a copy of the target article together with the date and time when the target article was discovered. A computer program that causes a computer or computer system to function as the article monitoring system according to any one of claims 1 to 4.

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