Exposure information provision system, exposure information provision method, and program

Abstract

To provide an exposure information provision system, exposure information provision method and program, which makes it easy to grasp exposure information of Web articles.SOLUTION: An exposure information provision system 1 is provided, comprising an exposed item collection unit 11 capable pf performing processing for collecting multiple Web articles matching a keyword, a group generation unit 15 capable of performing processing for generating groups with two or more Web articles based on the collected multiple Web articles, and an output unit 12 capable of performing processing for outputting a list of the groups.SELECTED DRAWING: Figure 3

Description

[Technical field]

[0001] The present disclosure relates to a technique for measuring and providing exposure information to media such as web articles. [Background technology]

[0002] Various techniques for measuring the reach (expected number of people) of an advertisement have been known. For example, Patent Document 1 describes a technique for measuring the effectiveness of a banner advertisement posted on a web page, which calculates the reach.

[0003] However, products, services or brands may be exposed in the media by means other than advertising, and there is a disclosure of a system for finding out how a product, service or brand is exposed in the media, excluding advertising (see Patent Document 2). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2011-216120 A [Patent Document 2] Patent No. 6711870 Summary of the Invention [Problem to be solved by the invention]

[0005] The first issue is that with Web articles, the same or similar articles such as news articles may be published in multiple media (sites). For example, there are well-known media A to D, and when an article is published in media A, the same article is also published in other media B to D, citing it. In this case, when one article is published, it is published not only in one media but in multiple media, and as a result, the number of articles that could be considered as one increases to many, which may make it difficult to grasp the publication information.

[0006] The second issue is that the influence of media varies from medium to medium, and knowing which media have the greatest influence would be effective in PR activities. As mentioned above, when an article with the same content is published in media B through D, based on an article in media A, the web article published in media A can be said to be the source article that influenced the other articles. If you can know the source article, you can know the media with the greatest influence, but the concept of identifying the source article that influenced the other articles is not known.

[0007] The present disclosure provides an exposure information providing system, an exposure information providing method, and a program that can solve any of the above problems and make it easier to understand exposure information for Web articles. [Means for solving the problem]

[0008] The exposure information providing system of the present disclosure includes an exposure case collection unit capable of executing a process of collecting multiple Web articles that match keywords, a group generation unit capable of executing a process of generating a group to which two or more Web articles belong based on the collected multiple Web articles, and an output unit capable of executing a process of outputting a list of the groups. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a block diagram showing an exposure information providing system 1 according to a first embodiment. [Diagram 2] 4 is a flowchart showing a process executed by the exposure information providing system 1. [Diagram 3] FIG. 2 is a diagram showing an example of a screen displayed by the exposure information providing system 1. [Figure 4] FIG. 4 is a diagram showing a list screen of multiple Web articles belonging to a group represented by record R10 in FIG. 3. [Diagram 5] FIG. 13 shows a screen displaying a list of articles matching a keyword and period when the display target is changed to "influence source article group" using button 113. [Figure 6]FIG. 11 shows a screen displaying a list of articles matching a keyword and period when the display target is changed to "source article of influence" using button 113. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] <Exposure Information System> Hereinafter, an exposure information providing system 1 according to a first embodiment of the present disclosure will be described with reference to the drawings.

[0011] An example of a subject related to this system is a so-called web application that displays a screen, accepts necessary information, outputs the results, and allows a user to view the results in the web browser in response to an access via a web browser, but is not limited to this. For example, information may be accessible via an application executed on a mobile terminal.

[0012] 1, the exposure information providing system 1 includes a receiving unit 10. The receiving unit 10 is configured to be capable of receiving designation of at least one keyword through a user operation.

[0013] A specific example of the reception unit 10 is shown in FIG. 3. FIG. 3 is a diagram showing an example of a screen displayed by the exposure information providing system 1. As shown in FIG. 3, a keyword (110) representing a product, service, brand, house brand, or company name can be set. In the example of FIG. 3, "company name A" is set, but as long as one or more are set, two or more, three or more may be set. As shown in FIG. 3, a period (111) can be set such as "2022 / 10 / 20-2022 / 10 / 24". Also, as shown in the figure, at least one of the four media of television programs, newspaper articles, magazine articles, and Web articles can be set as a display target. This setting can be performed by a media setting button 112 (operation unit) on the screen. In the figure, only "Web articles" are selected and set as a display target (the four media marked with a circle are the display targets). As a method of setting the display target, the setting of "all articles", "only the source article of influence" or "source article group of influence" can be set by a button 113 (operation unit). "Source article only" and "Source article group" will be explained later.

[0014] <Article Extraction> As shown in FIG. 1, the exposure information providing system 1 has an exposure case collection unit 11. The exposure case collection unit 11 is configured to be able to execute a process of collecting a plurality of Web articles that match a keyword. The exposure case collection unit 11 may collect Web articles that match the period accepted by the acceptance unit 10. As an example, the exposure case collection unit 11 may collect Web articles based on data having exposure content (article content) that does not include matters related to advertising. When the period is used as a search condition, the article content may be linked to the exposure date. Specifically, the exposure case collection unit 11 has a Web article collection unit 11a.

[0015] The Web article collection unit 11a refers to a Web article database D1, which has article contents and publication dates that do not include matters related to advertisements, and extracts Web articles that match the keywords 110 and period 111. The Web article database D1 includes page titles, URLs, publication dates, analysis results of article contents (tags, etc.), and the like. The Web article database D1 stores the results of analysis of the contents of all Web articles for the purpose of Web analysis as stipulated in Article 47-7 of the Copyright Act. In this case, advertisements are excluded, so advertisements such as banners on Web pages are excluded.

[0016] <Calculating reach> As shown in FIG. 1, the exposure information providing system 1 has a reach calculation unit 13. The reach calculation unit 13 can execute a process of calculating the reach of a Web article collected by the exposure case collection unit 11. The reach calculation unit 13 of the first embodiment calculates the reach of a Web article based on page views. More specifically, the reach calculation unit 13 divides the monthly page view data of each medium (Web site) collected separately by the monthly number of collected articles, and determines this as the page view of the Web article, as an example of the reach.

[0017] <Calculation of advertising equivalent amount> As shown in Fig. 1, the exposure information providing system 1 has an advertising conversion cost calculation unit 14. The advertising conversion cost calculation unit 14 can execute a process of calculating the advertising conversion cost of a Web article. As an example, the advertising conversion cost calculation unit 14 in the first embodiment calculates the advertising conversion cost according to the monthly PV of the publication medium based on the monthly PV and advertising fee of major domestic Web media that have set up a menu of tie-up and article advertisements.

[0018] <Group Creation> As shown in FIG. 1, the exposure information providing system 1 has a group generating unit 15. The group generating unit 15 can execute a process of generating a group to which two or more Web articles belong based on a plurality of Web articles collected by the exposure case collecting unit 11. The number of groups generated is one or more than two. The group generating unit 15 of the first embodiment generates a group to which two or more Web articles belong based on the similarity of the Web articles. As a specific example, when the similarity of two compared Web articles exceeds a predetermined threshold, the two compared Web articles are determined to be similar to each other and classified into the same group. In the first embodiment, the similarity is determined to be the coincidence of the titles of the Web articles, and when the coincidence of the titles of the Web articles exceeds a predetermined threshold, the two compared Web articles are determined to be the same article or similar articles and classified into the same group. The coincidence of the titles may be the number of characters that make up the titles. This makes it possible to group together two or more Web articles that can be evaluated as the same article or similar articles, such as when Web articles with the same content are exposed on multiple media (multiple sites) due to the spread from the same source (source of spread). The same article or similar article may be one in which the title or content of the article is the same or is the same to a predetermined extent (for example, 90%) or more.

[0019] <Identification of spillover source> As shown in FIG. 1, the exposure information providing system 1 has a source of influence identification unit 16. The source of influence identification unit 16 can execute a process of identifying a source of influence article that is a source of influence among two or more Web articles belonging to a group. The source of influence article is an article that is the source of the destination of influence article, and is referenced by citation information in the destination of influence article. The citation information includes information that can identify the source of influence article, such as the URL of the source of influence article and the title of the source of influence article. The citation information may be included in the article content. The source of influence identification unit 16 of the first embodiment identifies each Web article belonging to the group as a focus article, and identifies a Web article that is estimated to be a destination of influence of the focus article by referring to citation information in the focus article. The source of influence identification unit 16 tally up the Web articles that are estimated to be destination of influence of each Web article belonging to the group, and identifies the Web article with the largest tally as the source of influence article. The Web articles other than the source of influence article among the Web articles belonging to the group are identified as destination of influence articles. For example, if a group contains web articles (1-10), and the citation information for articles (1-4) references article (5), the citation information for articles (6-7) references article (2), and the citation information for articles (8-10) references article (5), the number of candidates for the source article of the influence will be 2 for article (2) and 7 for article (5). In this case, since article (5) has the most citations, it is identified as the source article of the influence, and the other articles (1-4, 6-10) are identified as the destination articles of the influence.

[0020] <Exposure information output> As shown in FIG. 1, the exposure information providing system 1 has an output unit 12. The output unit 12 outputs exposure information. The output unit 12 can execute a process of outputting information related to the source article as the exposure information. FIG. 3 is a screen displaying a list of articles matching a keyword and a period as the exposure information. In principle, one article is displayed per record on this screen. Specifically, the exposure date (publication date), keyword, type of media (four types of media), medium name (site name), article title, reach number, and advertising conversion cost are displayed. If a group exists, one group is displayed per record. For example, record R10 represents one group. In record R10, the number of articles constituting the group is displayed in parentheses as 12. If a source article exists in the group, the medium of the source article and the title of the article are displayed. In record R10, the source article is included in the Web articles belonging to the group, and the mark "Source of Influence" indicating that the name of the medium "Medium G" and the article title "Walk and win a prize! With the app..." are the source articles are displayed as information about the source article. Record R11 represents one group. In record R11, the number of articles constituting the group is displayed in parentheses as 12. In this group, the source article is not specified, or is specified but the source article is not specified. Record R12 represents one article. Record R13 represents one group. In record R13, the number of articles constituting the group is displayed in parentheses as 3. In record R13, the source article is included in the Web articles belonging to the group, and the mark "Source of Influence" indicating that the name of the medium "Medium C" and the article title "Company A's new 4 popular models..." are the source articles are displayed as information about the source article. In this way, the output unit 12 can display a list of groups. In addition, the output unit 12 can display information about the source article of each group (such as the mark "source of influence", the name of the medium, and the title of the article) in conjunction with the list of groups.

[0021] FIG. 4 is a diagram showing a list screen of multiple Web articles belonging to a group represented by record R10 in FIG. 3. The screen in FIG. 4 is displayed by operating any of the rows of record R10 shown in FIG. 3. As shown in FIG. 4, a list of Web articles belonging to a specified group (shown by record R10) is displayed. In FIG. 4, 12 records (R101 to R112) are displayed, and information on one Web article is displayed per record. The information on the Web article includes the name of the medium in which the Web article was published, whether it is an influencing article, the title, and the status of the Web article. Record (R107) shows that it is an influencing article for other Web articles belonging to the same group. The status of the Web article includes the number of reaches and the advertising conversion cost. The number of reaches and the advertising conversion cost are calculated for each Web article by the reach calculation unit 13 and the advertising conversion cost calculation unit 14, respectively. At the top of this group screen, the total number of articles (12 articles), the total reach of the Web articles belonging to the group (30,974 people), and the total advertising conversion cost of the Web articles belonging to the group (9,620,000 yen) are displayed in association with the group. These reach numbers and total advertising conversion costs are displayed in association with the group within one record on the group list screen shown in Figure 3. As described above, Figure 4 displays information about the source article (record R107) as well as information about the group to which the source article belongs (information about each article belonging to it).

[0022] Fig. 5 is a diagram showing a screen displaying a list of articles matching the keyword and time period when the display target is changed to "influence source article group" using button 113. Of the multiple records shown in Fig. 3, Fig. 5 displays only the groups containing the influence source article (records R10 and R13). One record corresponds to one group, and the total number of reaches and the total amount of advertising conversion costs of all Web articles belonging to each group are displayed in association with the group.

[0023] Fig. 6 is a diagram showing a screen displaying a list of articles matching the keyword and period when the display target is set to "influence source article" using button 113. In Fig. 6, only the influence source articles (corresponding to records R10 and R13) are displayed out of the multiple records shown in Fig. 3. One record corresponds to one Web article, and the reach amount and advertising conversion cost for each influence source article are displayed.

[0024] Although not shown, the output unit 12 may display a media ranking of the source articles. The source articles are identified for each of a plurality of groups, and the media (sites) publishing the source articles are identified and tallied. Specifically, points are given to the media (sites) publishing one source article, and points are given to the media (sites) for each of the source articles. Data on the media ranking of the source articles can be displayed by listing the media in ascending or descending order according to the size of the points.

[0025] <Exposure information provision method> The operation of the exposure information providing system 1 will be described with reference to FIG.

[0026] First, in step S1, the accepting unit 10 accepts at least one keyword. A period may also be specified.

[0027] In the next step S2, the exposure case collection unit 11 extracts (collects) Web articles that match the period and keyword based on data having exposure content and exposure date that do not include matters related to advertising. In the next step S3, the reach calculation unit 13 calculates the reach of the extracted (collected) Web article. In the next step S4, the advertising conversion cost calculation unit 14 calculates the advertising conversion cost of the extracted (collected) Web article. Note that steps S3 and S4 are in no particular order, and at least one of the steps may be omitted. In the next step S5, the group generation unit 15 executes a process of generating one or more groups to which two or more Web articles belong based on the collected multiple Web articles. In the next step S6, the influence source identification unit 16 identifies the influence source article that is the influence source from the two or more Web articles that belong to the group. In the next step S7, the output unit 12 outputs information related to the influence source article.

[0028] [1] As described above in the first embodiment, the exposure information providing system 1 may include an exposure case collection unit 11 capable of executing a process of collecting a plurality of Web articles matching a keyword, a group generation unit 15 capable of executing a process of generating a group to which two or more Web articles belong based on the collected plurality of Web articles, and an output unit 12 capable of executing a process of outputting a list of groups.

[0029] When the same or similar article content is exposed from the source, the number of extracted articles increases, making it difficult to understand the overall picture of the exposure information. In response to this, by grouping multiple web articles together, it is possible to grasp a large number of identical or similar articles in groups, making it easier to understand the overall picture of the exposure information.

[0030] [2] In the exposure information providing system 1 described in [1] above, the output unit 12 may include a source of influence identification unit 16 capable of executing a process of identifying a source of influence article that is a source of influence among two or more Web articles belonging to a group, and the output unit 12 may be capable of outputting information related to the source of influence article. This makes it possible to know the source of influence article. If the information related to the source of influence article includes information related to a medium (site), it is also possible to know the highly influential medium, which is beneficial for PR activities.

[0031] [3] In the exposure information providing system 1 described in [2] above, the output unit 12 may be capable of outputting information about the group to which the influence source article belongs together with information about the influence source article. This makes it easier to understand the relationship between the influence source article and other articles that belong to the same group by outputting information about the group to which the influence source article belongs together with information about the influence source article.

[0032] [4] In the exposure information providing system 1 described in any one of [1] to [3] above, the status of a Web article may include at least one of the number of reaches or the advertising conversion cost, the status of the Web article may be calculated individually for each Web article, and the total value of the status of multiple Web articles belonging to a group may be displayed in association with the group. According to this configuration, the total value of the reach or advertising conversion cost of multiple Web articles belonging to a group is displayed in association with the group, so that the reach or advertising conversion cost can be grasped on a group basis, compared to when the reach or advertising conversion cost is displayed for each individual article, making it easier to grasp the overall picture of exposure information.

[0033] [5] In the exposure information providing system 1 described in [2] above, the influence source identifying unit 16 may identify the influence source article based on the number of citations. This is a suitable example of identifying the influence source article.

[0034] [6] As in the first embodiment, the exposure information providing method may be a method executed by one or more processors, and may include executing a process of collecting a plurality of Web articles matching a keyword, executing a process of generating a group to which two or more Web articles belong based on the collected plurality of Web articles, and executing a process of outputting a list of the groups.

[0035] [7] As in the first embodiment, the program may cause one or more processors to execute the following processes: collect a plurality of Web articles that match a keyword; generate a group to which two or more Web articles belong based on the collected plurality of Web articles; and output a list of the groups.

[0036] Although the embodiments of the present disclosure have been described above based on the drawings, the specific configurations should not be considered to be limited to these embodiments. The scope of the present disclosure is indicated not only by the description of the above-mentioned embodiments but also by the claims, and further includes all modifications within the meaning and scope equivalent to the claims.

[0037] The structures employed in the above-described embodiments may be employed in any other embodiment. The specific configurations of the components are not limited to the above-described embodiments, and may be modified in various ways without departing from the spirit of the present disclosure.

[0038] (A) In the above embodiment, the degree of similarity is the degree of agreement of the titles of the Web articles, but this is not limiting. For example, the degree of similarity may be the degree of agreement of the article contents.

[0039] (B) In the above embodiment, the state of a Web article includes both the reach number and the advertising conversion cost, but is not limited to this. For example, at least one of the reach number and the advertising conversion cost may be included. Also, the state of a Web article may not include either the reach number or the advertising conversion cost.

[0040] For example, the order of execution of each process, such as operations, procedures, steps, and stages, in the devices, systems, programs, and methods shown in the claims, specifications, and drawings, can be arbitrary, as long as the output of a previous process is not used in a subsequent process. Even if the flow in the claims, specifications, and drawings is described using "first," "next," and the like for convenience, this does not mean that it is essential to execute the processes in this order.

[0041] Each unit shown in Fig. 1 is realized by executing a predetermined program on one or more processors, but each unit may be configured with a dedicated memory or a dedicated circuit. In the system of the above embodiment, each unit is implemented in the processor of one computer, but each unit may be distributed and implemented on multiple computers or in the cloud. In other words, the above method may be executed on one or more processors.

[0042] The system includes a processor. For example, the processor may be a central processing unit (CPU), a microprocessor, or other processing unit capable of executing computer-executable instructions. The system also includes memory for storing data for the system. In one example, the memory includes computer storage media, including RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, DVD or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired data and that can be accessed by the system. [Explanation of symbols]

[0043] 1: Exposure information system 11: Exposure Case Collection Department 12: Output section 15: Group generation section 16: Ripple source identification department

Claims

1. an exposure case collection unit capable of collecting a plurality of Web articles that match a keyword; a group generating unit capable of executing a process of generating a group to which two or more Web articles belong based on the collected Web articles; an output unit capable of executing a process of outputting a list of the groups; An exposure information providing system comprising:

2. a spread source identification unit capable of identifying a spread source article that is a spread source among two or more Web articles belonging to the group; The exposure information providing system according to claim 1 , wherein the output unit is capable of outputting information related to the influence source article.

3. The exposure information providing system according to claim 2 , wherein the output unit is capable of outputting information on the influence source article and information on a group to which the influence source article belongs, together with information on the influence source article.

4. The state of the web article includes at least one of a reach or an advertising conversion cost; The state of the web article is calculated individually for each of the web articles; 4. The exposure information providing system according to claim 1, wherein a total value of states of the Web articles belonging to the group is displayed in association with the group.

5. The exposure information providing system according to claim 2 , wherein the influence source identifying unit identifies the influence source article based on the number of citations.

6. A method executed by one or more processors, comprising: Executing a process of collecting a plurality of Web articles that match a keyword; Executing a process of generating a group to which two or more Web articles belong based on the collected Web articles; Executing a process of outputting a list of the groups; A method for providing exposure information, including:

7. Executing a process of collecting a plurality of Web articles that match a keyword; Executing a process of generating a group to which two or more Web articles belong based on the collected Web articles; Executing a process of outputting a list of the groups; A program for causing one or more processors to execute the above.

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