Page evaluation system, page evaluation method, and computer program

Abstract

To evaluate effectiveness of a page related to a commodity for sale, displayed on a mall-type shopping site.SOLUTION: A page evaluation system 1 that extracts an evaluation target page related to a target commodity to be sold on a mall-type shopping site from the mall-type shopping site and analyzes the evaluation target page, the page evaluation system including: a page information acquisition unit 13 that acquires information on the evaluation target page; a storage unit 17 that stores a plurality of evaluation items extracted from information displayed on the evaluation target page and points allotted to the evaluation items in association with each other; and an evaluation unit 14 that extracts a plurality of evaluation items from the information on the evaluation target page, refers to the storage unit, and evaluates the evaluation target page by calculating the points allotted to at least the evaluation items extracted.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a page evaluation system, a page evaluation method, and a computer program. [Background technology]

[0002] On the Internet, there are known shopping malls where many sellers sell various products under the same domain. The administrator of this shopping mall manages, for example, the product pages and sales of multiple sellers. Therefore, sellers can list their products on the shopping mall by sending predetermined information about the products to the administrator.

[0003] On the other hand, in order for a shopping mall to generate a product page where potential buyers can purchase a product, various information that meets the requirements must be prepared and sent to the administrator, and it is cumbersome to check whether the product page is in an appropriate state. Also, because the product page and the search result page within the shopping mall are generated by the shopping mall, potential buyers do not necessarily view pages that are convenient for the seller. In particular, because each page contains advertisements from other companies placed on the shopping mall, as well as reviews of the seller or product submitted to the shopping mall, the seller had to check the product page generated by the shopping mall.

[0004] In this regard, Patent Document 1 describes a device that displays the degree to which web content complies with certification standards such as universal design. Patent Document 2 describes an evaluation support method that reads a web page, compares it with evaluation standards for items such as whether the size of the files forming the web page is too large, whether the files use machine-dependent characters and half-width katakana characters, whether there is excessive use of moving displays such as blinking and scrolling, and whether the display colors are appropriate, and then transmits advice information that provides advice. Patent Document 3 describes a device that evaluates the quality of display information from each of the multiple information distribution means based on a format description of the display information acquired by an information acquisition means, and outputs the evaluation results to the network. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Laid-Open No. 2009-301240 [Patent Document 2] Japanese Patent Application Laid-Open No. 2003-271779 [Patent Document 3] Japanese Patent Application Laid-Open No. 2002-189917

[0006] However, neither of these documents discloses a technique for evaluating pages generated on a shopping mall operated by another company. Summary of the Invention [Problem to be solved by the invention]

[0007] One of the objects of the present invention is to appropriately evaluate the effectiveness of pages generated by a shopping mall site and viewed by potential purchasers. [Means for solving the problem]

[0008] In order to achieve the above-mentioned object, a page evaluation system according to one aspect of the present invention is a page evaluation system that extracts and analyzes, from a mall-type shopping site, pages to be evaluated that relate to target products that are put up for sale on the mall-type shopping site, and includes a page information acquisition unit that acquires information about the pages to be evaluated, a memory unit that stores a plurality of evaluation items extracted from information displayed on the pages to be evaluated and scores assigned to the evaluation items in association with each other, and an evaluation unit that extracts a plurality of evaluation items from the information about the pages to be evaluated, refers to the memory unit, and evaluates the pages to be evaluated by calculating the scores assigned to at least the extracted evaluation items.

[0009] The memory unit may store identification information of an advertisement related to the target product in association with the target product, and the evaluation unit may identify identification information of an advertisement displayed on the page to be evaluated, and may evaluate the page to be evaluated differently depending on whether the advertisement displayed on the page to be evaluated is an advertisement related to the target product or not.

[0010] The memory unit may store the seller of the target product and identification information of the advertisement associated with the seller in correspondence with each other, and the evaluation unit may identify the identification information of the advertisement displayed on the page to be evaluated, and if the advertisement displayed on the page to be evaluated is an advertisement associated with the seller, may improve the evaluation of the page to be evaluated.

[0011] The memory unit may store the target product and identification information of a brand associated with the target product in association with each other, and the memory unit may store the brand and identification information of an advertisement associated with the brand in association with each other, and the evaluation unit may identify the identification information of the advertisement displayed on the page to be evaluated, and, if the advertisement displayed on the page to be evaluated is an advertisement associated with the brand by referring to the memory unit, may improve the evaluation of the page to be evaluated.

[0012] The evaluation system may further include a KPI selection receiving unit that receives a selection of a KPI to be used in evaluating the page to be evaluated, wherein the memory unit stores the KPI in association with a score for each evaluation item included in the page to be evaluated, and the memory unit stores a different score for each KPI for each evaluation item, and the evaluation unit evaluates the page to be evaluated by referring to the memory unit and calculating the score for each evaluation item based on the KPI received via the KPI selection receiving unit.

[0013] The mall-type shopping site may further include an evaluation target receiving unit that receives keywords to be evaluated on the mall-type shopping site, and the page information acquisition unit may acquire a search result page that is displayed on the mall-type shopping site when the mall-type shopping site is searched using the keywords, and the evaluation unit may evaluate the search result page as the evaluation target page.

[0014] In order to achieve the above-mentioned object, a page evaluation method according to another aspect of the present invention is a page evaluation method that extracts and analyzes, from a mall-type shopping site, a page to be evaluated that relates to a target product to be put up for sale on the mall-type shopping site, wherein a computer executes a page information acquisition step of acquiring information about the page to be evaluated, an extraction step of extracting multiple evaluation items from the information about the page to be evaluated, and an evaluation step of evaluating the page to be evaluated by referring to a memory unit that stores, in correspondence with each other, the multiple evaluation items extracted from the information displayed on the page to be evaluated and the scores assigned to the evaluation items, and calculating the scores assigned to at least the extracted evaluation items.

[0015] In order to achieve the above-mentioned object, a computer program according to yet another aspect of the present invention is a computer program that extracts and analyzes, from a page evaluation mall-type shopping site, a page to be evaluated that relates to a target product that is exhibited on the mall-type shopping site, and causes a computer to execute a page information acquisition command that acquires information about the page to be evaluated, an extraction command that extracts multiple evaluation items from the information about the page to be evaluated, and an evaluation command that evaluates the page to be evaluated by referring to a memory unit that stores, in correspondence with each other, the multiple evaluation items extracted from the information displayed on the page to be evaluated and the scores assigned to the evaluation items, and calculating the scores assigned to at least the extracted evaluation items.

[0016] The computer program can be provided by being stored on various data-readable recording media, or can be provided so as to be downloadable via a network such as the Internet. [Effects of the Invention]

[0017] According to the present invention, it is possible to appropriately evaluate the effectiveness of pages generated by a shopping mall site and viewed by potential purchasers. [Brief explanation of the drawings]

[0018] [Figure 1] 1 is a functional block diagram showing the configuration and functions of a page evaluation system according to a first embodiment of the present invention. [Figure 2] This is an example of a product page that is evaluated using the page evaluation system. [Figure 3] FIG. 10 is a diagram showing an example of a product page evaluation table stored in a score information storage unit of the page evaluation system. [Figure 4]A figure showing examples of (a) a seller-product table and (b) a seller-brand table stored in the seller information storage unit of the page rating system, a figure showing an example of (c) a product-brand table stored in the product information storage unit of the page rating system, and a figure showing examples of (d) a product-advertisement table and (e) a brand-advertisement table stored in the advertising information storage unit of the page rating system. [Figure 5] 10 is a processing flow showing an example of the flow of analysis by the page evaluation system. [Figure 6] This is an example of a search result page that is rated by the page rating system described above. [Figure 7] FIG. 10 is a diagram showing an example of a search result page evaluation table stored in a scoring information storage unit included in the page evaluation system according to the second embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0019] ●Page Rating System(1)● Overview A page evaluation system according to an embodiment of the present invention will be described below with reference to the drawings. The page rating system according to this embodiment acquires information about pages displayed on a shopping mall, performs analysis processing, and outputs the results of evaluation. An example of a shopping mall is Amazon (registered trademark), but the present invention is not limited to this and may be any suitable shopping mall on the Internet where many sellers sell various products under the same domain. The page rating system can be used by manufacturers who list products on shopping malls, as well as retailers and wholesalers. In the following description, such users may be collectively referred to as users of this system.

[0020] As shown in FIG. 1, the page evaluation system 1 is communicatively connected to a mall management server 2 and a user terminal 3 via a network NW. The mall management server 2 is a server that manages a mall-type shopping site. The mall management server 2 accepts, for example, listings of multiple products from multiple sellers. The mall management server 2 accepts keywords or product identification information, etc., input via the user terminal 3, and displays a search result page for a search using the keywords on the user terminal 3. The mall management server 2 also generates and manages product pages for the listed products, and displays the product pages on the terminal of a potential purchaser in response to an operation from the terminal.

[0021] The user terminal 3 is a terminal used by a seller who sells products on the shopping mall site. The seller may be, for example, a retailer, or a manufacturer or wholesaler who wholesales products to the retailer. The user terminal 3 receives and displays the evaluation results from the page evaluation system 1.

[0022] The page evaluation system 1 may be realized by executing a predetermined computer program on a personal computer, tablet terminal, smartphone, etc., or some or all of the functions may be realized by a cloud computer. The page evaluation system 1 may also be composed of multiple hardware configurations.

[0023] The page evaluation system 1 is realized by, for example, a server equipped with an arithmetic device such as a CPU (Central Processing Unit), a computer program executed by the CPU, internal memories such as RAM (Random Access Memory) and ROM (Read Only Memory), etc. The page evaluation system 1 is thus configured as functional blocks mainly consisting of an evaluation target receiving unit 11, a KPI selection receiving unit 12, a page information acquisition unit 13, an evaluation unit 14, a result output unit 15, a communication processing unit 16, and a memory unit 17.

[0024] The evaluation target receiving unit 11 is a functional unit that acquires information about the evaluation target from the user terminal 3 via the communication processing unit 16. The information about the evaluation target is, for example, text data, more specifically, a search keyword. The information about the evaluation target may also be product identification information.

[0025] The KPI selection receiving unit 12 is a functional unit that receives the selection of a KPI (Key Performance Indicator) to be used for evaluating the evaluation target page. The user selects the KPI from, for example, sales or brand image, and transmits it via the user terminal 3.

[0026] The page information acquisition unit 13 is a functional unit that acquires information about a page to be evaluated that is to be displayed on the terminal of a potential purchaser by the mall management server 2. This page to be evaluated is, for example, a product page created for each product.

[0027] 2 is an example of a product page G1 displayed on the user terminal 3. This product page G1 displays a keyword input area G11, a main image area G12 that displays a main image of the product, a sub-image area G13 that lists images that are displayed in the main image area depending on the selection, an advertising area G14, an area G15 that displays reviews of the seller, and a resale status display area G16.

[0028] The page information acquisition unit 13 includes a character information extraction unit 13a that acquires character information of the page to be evaluated, and an image extraction unit 13b included in the page to be evaluated. The character information extraction unit 13a, for example, acquires at least information displayed as character information on the page to be evaluated from the source code. The image extraction unit 13b may acquire a description indicating a display image from the source code, or may acquire image data indicated by the display image. The page information acquisition unit 13 may also acquire image data displayed on the page to be evaluated and extract information by image analysis of this image data. The page information acquisition unit 13 also identifies identification information of an advertisement displayed on the page to be evaluated based on the information extracted from the page to be evaluated.

[0029] The evaluation unit 14 is a functional unit that evaluates the page to be evaluated based on the information acquired by the page information acquisition unit 13. The evaluation unit 14 extracts multiple evaluation items from the information acquired by the page information acquisition unit 13 and evaluates the content for each evaluation item. The evaluation unit 14 calculates, for example, a predetermined evaluation value for the page to be evaluated.

[0030] The evaluation unit 14 extracts evaluation items, for example, by searching for predetermined words from the source code of the page to be evaluated. The evaluation unit 14 extracts, as evaluation items, the number and size of sub-images, the seller's evaluation, the product's evaluation, information about the displayed advertising area, available shipping methods, the resale status, and the displayed content of the Q&A. The seller's evaluation and the product's evaluation may be information categorized into predetermined levels and scored, or may be text data posted by purchasers, etc. The information about the advertising area may be the type, content, and identification information of the advertisement. Furthermore, the information about the advertising area may be information about the product or brand advertised in the advertisement. The evaluation unit 14 may, for example, extract the identification information of the advertisement by referring to the source code and acquire information about the product or brand associated with the identification information. Furthermore, the evaluation unit 14 may, for example, acquire information about the product or brand by performing image analysis of the advertisement image.

[0031] Each evaluation item evaluated by the evaluation unit 14 may include information generated by the mall management server 2 in addition to information sent from the seller. For example, the number and size of sub-images are items evaluated based on the sub-images sent by the seller. Evaluations of sellers and products are generated by the mall management server 2 based on information received by the mall management server 2 from purchasers. Information related to advertising areas is generated based on information received by the mall management server 2 from the seller or other sellers.

[0032] Here, the configuration of the storage unit 17 included in the page evaluation system 1 will be described, and a specific mode of evaluation performed by the evaluation unit 14 with reference to the storage unit 17 will be described. The storage unit 17 mainly includes a point allocation information storage unit 17A, a seller information storage unit 17B, a product information storage unit 17C, and an advertisement information storage unit 17D.

[0033] The score information storage unit 17A stores the evaluation items of the evaluation target page and the scores of each evaluation item included in the evaluation target page in association with each other. 3 is a diagram showing an example of a product page evaluation table T1 that is referenced when evaluating a product page G1. The product page evaluation table T1 stores evaluation items and scores for evaluating the product page G1, which are associated with each other. The evaluation items include, for example, the number and size of sub-images displayed on the product page G1, evaluation of the seller, evaluation of the product, completeness of the advertising area, shipping method, resale status, and response to Q&A.

[0034] The evaluation unit 14 evaluates the page to be evaluated by referencing the product page evaluation table T1 and calculating the points assigned to each evaluation item. This configuration allows the evaluation of various evaluation items that make up the product page to appropriately evaluate its appeal to potential purchasers. Furthermore, the user can improve the product page to make it more appealing based on this evaluation, thereby increasing the user's profits.

[0035] The product page evaluation table T1 stores different scores for evaluation items for each KPI (Key Performance Indicator) used to evaluate the page to be evaluated. In the figure, the product page evaluation table T1 stores two KPIs: sales and brand image. The score assigned to a sub-image when sales is the KPI differs from the score assigned to a sub-image when brand image is the KPI. For example, the quality of a sub-image contributes to sales but does not significantly affect brand image. Therefore, the score assigned when sales is the KPI is higher than the score assigned when brand image is the KPI. Furthermore, because resale status may damage brand image, the score assigned to the resale status when brand image is the KPI is higher than the score assigned when sales is the KPI. Note that the above-described score assignment is merely an example and is not limited to this. In this embodiment, the score assignment has been described as a point-adding system, but it may also be a point-deducting system, and some items may be added and some items may be deducted. Furthermore, some items may be added and some items may be deducted.

[0036] The evaluation unit 14 evaluates the page to be evaluated by referring to the product page evaluation table T1 and calculating the points to be assigned to each evaluation item based on the KPIs received via the KPI selection receiving unit 12. As described above, a configuration in which the points to be assigned to each evaluation item are varied depending on the KPIs to be evaluated enables evaluation in accordance with the objectives that the user values.

[0037] The seller information storage unit 17B is a functional unit that stores information about sellers. As shown in FIG. 4(a), the seller information storage unit 17B stores, for example, a seller-product table T2 that stores information about products offered by sellers in association with the seller's identification information. Advertisements associated with sellers are, for example, advertisements posted by the seller or its collaborating companies. The seller information storage unit 17B may also store the type and content of advertisements associated with sellers in association with the seller's identification information. Advertisements refer to, for example, images, videos, audio, etc., and are managed using different identification information for each type of image, video, audio, etc.

[0038] As shown in FIG. 4(b), the seller information storage unit 17B may store a seller-brand table T3 that stores brands associated with sellers in association with the seller's identification information. A brand associated with a seller is a brand that is positive for the seller when an advertisement for that brand is displayed. This brand may be, for example, a brand under the control or revenue of the seller. A seller may own multiple brands.

[0039] The product information storage unit 17C is a functional unit that stores, for example, information about products. As shown in Fig. 4(c), the product information storage unit 17C stores a product-brand table T4 that stores a product and identification information of a brand associated with the product in association with each other. The brand associated with the product is, for example, the brand to which the product belongs.

[0040] The advertisement information storage unit 17D is a functional unit that stores advertisements related to products, for example, information related to advertisements for products or brands. 4(d), the advertisement information storage unit 17D stores, for example, a product-advertisement table T5 that stores identification information of a product and identification information of an advertisement associated with the product in association with each other. The advertisement associated with the product is, for example, a sponsor product advertisement (also referred to as "SP advertisement" in the drawing and hereinafter) that advertises the product.

[0041] 4(e), the advertisement information storage unit 17D also stores a brand-advertisement table T6 that stores brand identification information and advertisement identification information in association with each other. An advertisement associated with a brand is, for example, a sponsored brand advertisement (hereinafter also referred to as an "SB advertisement") that promotes the brand. That is, an advertisement associated with a product, an advertisement associated with a product seller, an advertisement associated with a brand associated with a product, and an advertisement associated with another product associated with the brand are all examples of advertisements related to the product.

[0042] The evaluation unit 14 references the seller information storage unit 17B and extracts information about the seller of the product on the page to be evaluated. The evaluation unit 14 varies the evaluation of the page to be evaluated depending on the seller information. The evaluation unit 14 identifies identification information of the advertisement displayed on the page to be evaluated, and varies the evaluation of the page to be evaluated depending on whether the advertisement displayed on the page to be evaluated is an advertisement related to the product mainly sold on the page to be evaluated, i.e., the target product, or whether the advertisement is not related to the target product. For example, if the advertisement is related to the target product, the evaluation unit 14 increases the evaluation of the page to be evaluated compared to when the advertisement is not related to the target product.

[0043] Specifically, for example, the evaluation unit 14 refers to the seller-product table T2 and the product-advertisement table T5 and extracts identification information of an advertisement associated with the seller of the target product. The evaluation unit 14 specifies identification information of an advertisement displayed on the page to be evaluated and determines whether the advertisement is associated with the seller. If the advertisement displayed on the page to be evaluated is an advertisement associated with the seller, the evaluation unit 14 increases the evaluation of the page to be evaluated. Note that if the advertisement displayed on the page to be evaluated is not an advertisement associated with the seller, the evaluation unit 14 may lower the evaluation of the page to be evaluated. Furthermore, the evaluation unit 14 may evaluate the page to be evaluated based on the proportion of advertisements associated with the seller among the multiple advertisements displayed on the page to be evaluated.

[0044] In this embodiment, the storage unit 17 is described as storing the seller-product table T2 and the product-advertisement table T5, but the database structure is arbitrary, and the storage unit 17 may store, for example, a table that stores the identification information of a seller and the identification information of an advertisement in association with each other. In either case, the storage unit 17 stores the identification information of a seller and the identification information of an advertisement in association with each other.

[0045] By occupying the advertising area of the page to be rated with advertisements for the company's products, the company can guarantee potential purchasers the opportunity to purchase the company's products. Furthermore, displaying advertisements for the company's brand can improve the brand image of the company's brand held by potential purchasers. However, when listing a product on a shopping mall, the advertisements displayed in the advertising area are managed by the mall management server 2, so there is a risk that advertisements for other companies will be displayed. In this regard, even if the seller only references the product information and advertisement information registered in the mall management server 2 by the seller, it is unclear what screen the potential purchaser viewing the page to be rated will see. In this regard, with the above-described configuration, even if advertisements are displayed under the control of the mall management server 2, the appeal of the page to be rated to potential purchasers can be appropriately evaluated by evaluating the actual page viewed by the potential purchaser.

[0046] The evaluation unit 14 may refer to the identification information of the target product, and then refer to the product-brand table T4 and the brand-advertisement table T5 to extract identification information of an advertisement for the brand to which the target product belongs. The evaluation unit 14 may improve the evaluation when an advertisement for a brand associated with the target product or an advertisement for another product associated with the brand is displayed.

[0047] The evaluation unit 14 may refer to the product-brand table T4 and the brand-advertisement table T5 to extract identification information of advertisements for other products of the brand associated with the target product. The evaluation unit 14 may assign different evaluations when an advertisement for the target product is displayed and when an advertisement for another product belonging to the same brand as the target product is displayed. The evaluation unit 14 may also determine that an advertisement for a brand associated with the seller of the target product but different from the brand to which the target product belongs is displayed. The evaluation unit 14 may assign different evaluations to advertisements for brands associated with the seller, to which the target product belongs, and advertisements for brands to which the target product does not belong. Specifically, for example, the evaluation unit 14 may assign a higher evaluation when an advertisement for a brand to which the target product belongs is displayed than when an advertisement for a brand to which the target product does not belong is displayed.

[0048] The evaluation unit 14 may obtain a single page to be evaluated multiple times and evaluate it. For example, the evaluation unit 14 may periodically obtain pages to be evaluated and evaluate each page. In this case, the evaluation unit 14 may calculate the average evaluation value of the page to be evaluated obtained through multiple evaluations, or may calculate the transition of the evaluation value. Different advertisements may be displayed on the page to be evaluated randomly or according to predetermined conditions at the time of loading. In addition, the displayed advertisements may change depending on measures taken by the seller or competitors. Furthermore, information such as reviews of the seller or product may change sequentially. In this regard, the above-mentioned configuration allows for a more accurate evaluation of the status of advertisements displayed on the page to be evaluated.

[0049] The result output unit 15 is a functional unit that outputs a result screen including the evaluation results of the page to be evaluated. The result output unit 15 displays the score of the page to be evaluated calculated according to the KPI and the points allocated to the page on the user terminal 3. The result output unit 15 may display the evaluation results for each evaluation item, or may display an overall evaluation that integrates multiple evaluation results. The result output unit 15 may also display advice for improving the evaluation on the user terminal 3.

[0050] The communication processing unit 16 is a functional unit for executing transmission and reception of information via a network NW such as the Internet. The communication processing unit 16 enables the page evaluation system 1 to access a shopping mall site to extract information and transmit information to the user terminal 3.

[0051] The product page displays the product name, a product description image, advertisements for other products related to the product, reviews of the product, default seller information, and so on. However, the display of the product page is created and edited by the mall management server 2, and is constantly updated as new sellers post listings and buyers post reviews. Advertisements for other products are also constantly updated as new advertisers enter the market, existing advertisers invest advertising funds, and advertisers change the images they display. Furthermore, the product page is a screen that potential purchasers always view when making a purchase decision, and is therefore highly important in terms of marketing. Therefore, by using the page information acquisition unit 13 to acquire and evaluate product page information, the effectiveness of the page viewed by potential purchasers can be appropriately evaluated even when the product is listed on a shopping mall operated and managed by another company.

[0052] ●Processing flow FIG. 5 is a flowchart showing an example of the flow of processing executed by the page evaluation system 1. First, the evaluation target receiving unit 11 receives keywords or identification information, etc. to be evaluated via the user terminal 3 (step S101). The KPI selection receiving unit 12 receives the selection of an important KPI via the user terminal 3 (step S102).

[0053] Next, the page information acquisition unit 13 acquires information about the page to be evaluated (step S103). Next, the evaluation unit 14 evaluates the page to be evaluated based on the KPIs accepted via the KPI selection acceptance unit 12 (step S104). Next, the result output unit 15 outputs an evaluation result screen to the user terminal 3 (step S105). The above-described flowchart is an example, and the processes may be executed in a different order or simultaneously as appropriate.

[0054] ●Page Rating System (2)● The page evaluation system 1 according to the second embodiment of the present invention will be described, focusing on the differences from the first embodiment described above. The page evaluation system 1 described below evaluates a product search result page displayed on a page information acquisition section mall-type shopping site as the evaluation target page. Note that the same components as those in the first embodiment are assigned the same reference numerals.

[0055] In this embodiment, the evaluation target receiving unit 11 receives keywords to be searched within the shopping mall site as evaluation targets. The evaluation target receiving unit 11 also acquires identification information of users who wish to be evaluated by the system 1. The page information acquiring unit 13 acquires a search result page that is generated and displayed by the mall management server 2 when a search is performed within the shopping mall site using keywords. The evaluating unit 14 analyzes this search result page and evaluates its appeal to potential purchasers, etc.

[0056] 6 is an example of a search result page G2 displayed on the user terminal 3. The search result page G2 mainly displays an input area G21 where keywords to be evaluated are input, an SB advertising area G22, an SP advertising area G23, a search result area G24 where products extracted by the search are listed, a video advertising area G25, etc.

[0057] The evaluation target receiving unit 11 acquires information about a seller associated with the user. The user and the seller may be the same or different. The evaluation unit 14 acquires identification information about a product displayed in the search result area G24 of the search result page G2. The evaluation unit 14 references the seller-product table T2 and determines whether the product displayed in the search result area G24 is a product of a seller associated with the user. The evaluation unit 14 increases the evaluation when a product of a seller associated with the user is displayed in the search result area G24. The evaluation unit 14 may also decrease the evaluation when a product other than that of the seller is displayed in the search result area G24. The evaluation unit 14 may calculate an evaluation value based on the proportion of the seller among the products displayed in the search result area G24. The evaluation unit 14 may also calculate an evaluation value based on the ranking of the displayed products. This configuration makes it possible to evaluate the effectiveness of a seller's SEO (Search Engine Optimization) measures.

[0058] The evaluation unit 14 may perform evaluation according to the content or type of the displayed advertisement. For example, the evaluation may be performed according to whether or not the SB advertisement includes a video or a custom image.

[0059] The evaluation unit 14 also extracts identification information of advertisements displayed on the search result page G2. The evaluation unit 14 refers to the product-advertisement table T5 and extracts identification information of advertisements from sellers associated with the user. The evaluation unit 14 determines whether an advertisement displayed on the search result page G2 is an advertisement from a seller associated with the user, and adds points to the evaluation value if an advertisement from the seller is displayed. The evaluation unit 14 may also subtract points from the evaluation value if an advertisement from a seller other than the seller is displayed. The evaluation unit 14 may also calculate the evaluation value based on the proportion of advertisements from the seller among the advertisements displayed on the search result page G2. The evaluation unit 14 may also vary the contribution rates to the evaluation value for multiple advertisement areas displayed on the search result page G2, i.e., the SB advertisement area G22, the SP advertisement area G23, and the video advertisement area G25. The evaluation unit 14 may also vary the contribution rates to the evaluation value depending on the type of advertisement. For example, since video advertisements have greater appeal than still image advertisements, the contribution rate of video advertisements may be set to be greater than the contribution rate of still image advertisements.

[0060] FIG. 7 is a diagram showing a search result page evaluation table T7 stored in the score information storage unit 17A of the page evaluation system 1. In the figure, the search result page evaluation table T7 stores evaluation items and scores for evaluating the page to be evaluated. The evaluation items include, for example, indicators related to the quantity and quality of SB advertisements and SP advertisements. The evaluation items also include the display ranking of search results (also referred to as "SEO ranking" in the figure and hereinafter).

[0061] The search result page evaluation table T7 stores different scores for evaluation items for each KPI. That is, for example, the score assigned to an SB advertisement when the KPI is sales is different from the score assigned to an SB advertisement when the KPI is brand image. The evaluation of an SP advertisement contributes more to sales than an SB advertisement that aims to improve brand awareness. Therefore, when sales is emphasized as a KPI, the score assigned to an SP advertisement is higher than the score assigned to an SB advertisement. Conversely, when brand image is emphasized as a KPI, the score assigned to an SB advertisement that aims to improve brand image awareness is higher than the score assigned to an SP advertisement.

[0062] Even with the above-described configuration, even when advertisements are displayed under the control of the mall management server 2, the appeal of the page to potential purchasers can be appropriately evaluated by evaluating the actual pages viewed by potential purchasers.

[0063] According to the page evaluation system according to the embodiment of the present invention, it is possible to evaluate the effectiveness of pages relating to exhibited products displayed on a shopping mall site.

[0064] In the page evaluation system according to the present embodiment described above, the functional configuration of each terminal or device is an example, and the functional units shown in this example may be provided in a terminal or device different from this example. [Explanation of symbols]

[0065] 1 Page Rating System 11 Evaluation Reception Department 12 KPI selection reception section 13 Page information acquisition section 14 Evaluation Section 15 Result output section 16 Communication processing unit 17 Memory section 17A Scoring information storage section 17B Seller information storage section 17C Product information storage section 17D Advertising information storage unit 2. Mall management server 3. User terminal G1 Product page (evaluation target page) G2 Search result page (evaluation target page)

Claims

1. A page evaluation system that extracts and analyzes evaluation target pages related to target products exhibited on a shopping mall from the shopping mall, a page information acquisition unit that acquires information about the evaluation target page; a storage unit that stores a plurality of evaluation items extracted from information displayed on the evaluation target page and scores assigned to the evaluation items in association with each other; an evaluation unit that extracts a plurality of evaluation items from the information of the evaluation target page, refers to the storage unit, and evaluates the evaluation target page by calculating the points allocated to at least the extracted evaluation items; A page rating system comprising:

2. the storage unit stores identification information of an advertisement related to the target product in association with the target product; the evaluation unit specifies identification information of an advertisement displayed on the page to be evaluated, and evaluates the page to be evaluated differently depending on whether the advertisement displayed on the page to be evaluated is an advertisement related to the target product or not; The page rating system of claim 1 .

3. The storage unit stores a seller of the target product and identification information of an advertisement associated with the seller in association with each other; the evaluation unit specifies identification information of the advertisement displayed on the page to be evaluated, and if the advertisement displayed on the page to be evaluated is an advertisement associated with the seller, improves the evaluation of the page to be evaluated. The page rating system of claim 1 .

4. the storage unit stores the target product and identification information of a brand associated with the target product in association with each other; the storage unit stores the brand and identification information of an advertisement associated with the brand in association with each other; the evaluation unit identifies identification information of the advertisement displayed on the page to be evaluated, and, when the advertisement displayed on the page to be evaluated is an advertisement associated with the brand by referring to the storage unit, improves the evaluation of the page to be evaluated. The page rating system of claim 1 .

5. a KPI selection receiving unit that receives a selection of a KPI to be used in evaluating the evaluation target page; the storage unit stores the KPI and the points allocated to each evaluation item included in the evaluation target page in association with each other; The storage unit stores different points allocated to the evaluation items for each of the KPIs, the evaluation unit evaluates the evaluation target page by referring to the storage unit and calculating the points for each evaluation item based on the KPIs accepted via the KPI selection accepting unit; The page rating system of claim 1 .

6. a rating object receiving unit that receives a keyword to be a rating object in the shopping mall site; the page information acquisition unit acquires a search result page that is displayed on the shopping mall and that is displayed when the shopping mall is searched using the keyword, the evaluation unit evaluates the search result page as the evaluation target page; The page rating system of claim 1 .

7. A page evaluation method for extracting and analyzing evaluation target pages related to target products exhibited on a shopping mall from the shopping mall, comprising: The computer a page information acquisition step of acquiring information about the page to be evaluated; an extraction step of extracting a plurality of evaluation items from the information of the evaluation target page; an evaluation step of evaluating the page to be evaluated by referring to a storage unit that stores a plurality of evaluation items extracted from information displayed on the page to be evaluated and scores assigned to the evaluation items in association with each other, and calculating the scores assigned to at least the extracted evaluation items; Run the page evaluation method.

8. A computer program for extracting and analyzing evaluation target pages related to target products exhibited on a shopping mall from the shopping mall, the computer program comprising: a page information acquisition command for acquiring information on the evaluation target page; an extraction command to extract a plurality of evaluation items from the information of the evaluation target page; an evaluation command for evaluating the page to be evaluated by referring to a storage unit that stores a plurality of evaluation items extracted from information displayed on the page to be evaluated and scores assigned to the evaluation items in association with each other, and calculating the scores assigned to at least the extracted evaluation items; A computer program that causes a computer to execute the following.

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