Review delivery system, review delivery method, and program

Abstract

To provide a review providing system, a review providing method, and a program that enable users viewing an e-commerce website to easily refer to reviews posted on platforms other than the e-commerce website.SOLUTION: A review providing system 100 is provided with an information extraction unit 101 that extracts product specifying information specifying products sold on an e-commerce website, a review acquisition unit 102 that acquires reviews of a product posted on social media based on the product specifying information, and a display control unit 103 that displays the acquired reviews on a page for selling products on an e-commerce website.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present disclosure relates to a review providing system and the like.

Background Art

[0002] Before purchasing a product, users often refer to reviews of other users. For example, users refer to reviews such as customer reviews posted by product purchasers on e-commerce sites.

[0003] Patent Document 1 discloses a word-of-mouth information management system that collects word-of-mouth information from a plurality of web pages.

[0004] Patent Document 2 discloses an information processing apparatus that generates a web page for collectively providing information on the same product sold on a plurality of e-commerce sites. According to the information processing apparatus of Patent Document 2, even when there is no consistency in the information for identifying a product, it is determined whether the products posted on a plurality of e-commerce sites are the same.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0006] In recent years, reviews of products posted on platforms other than e-commerce sites may also be referred to. For example, reviews of products may be posted on social media such as Social Networking Service (SNS).

[0007] This disclosure aims to provide a review provision system, etc., that facilitates users browsing e-commerce sites to refer to reviews posted on platforms other than those e-commerce sites. [Means for solving the problem]

[0008] The review provision system relating to this disclosure comprises: information extraction means for extracting product identification information that identifies products sold on an e-commerce site; review acquisition means for acquiring reviews of the products posted on social media based on the product identification information; and display control means for displaying the acquired reviews on the page of the e-commerce site where the products are sold.

[0009] The review provision method relating to this disclosure involves extracting product identification information that identifies products sold on an e-commerce site, obtaining reviews of the products posted on social media based on the product identification information, and displaying the obtained reviews on the page selling the products on the e-commerce site.

[0010] The program relating to this disclosure extracts product identification information that identifies products sold on an e-commerce site, obtains reviews of the products posted on social media based on the product identification information, and causes a computer to perform the process of displaying the obtained reviews on the page selling the products on the e-commerce site. The program may be stored on a non-temporary recording medium that is readable by a computer. [Effects of the Invention]

[0011] According to this disclosure, users browsing an e-commerce site can easily access reviews posted on platforms other than that e-commerce site. [Brief explanation of the drawing]

[0012] [Figure 1] This is a block diagram showing an example configuration of a review provision system. [Figure 2] This figure shows an example of a review display screen. [Figure 3] This diagram shows an example of how to display a link to a page that shows reviews. [Figure 4] This is a flowchart illustrating an example of how the review provision system works. [Figure 5] This figure shows another example of a review display screen. [Figure 6] This figure shows an example of a screen for selecting which reviews to display. [Figure 7] This is a diagram showing an example of a review rating screen. [Figure 8] This is a block diagram showing an example of a computer hardware configuration. [Modes for carrying out the invention]

[0013] According to one embodiment, the review provision system 100 displays reviews posted on social media on an e-commerce site that sells products. Figure 1 is a block diagram showing an example configuration of the review provision system 100 according to one embodiment. The review provision system 100 includes an information extraction unit 101, a review acquisition unit 102, and a display control unit 103.

[0014] The information extraction unit 101 extracts product identification information that identifies products sold on the e-commerce site. Products sold on the e-commerce site include tangible products and intangible services. The product identification information is not particularly limited as long as it is used to identify the product. Product identification information includes, for example, a product identifier, manufacturer, brand name, product name, color, size, and product image.

[0015] The information extraction unit 101 extracts product identification information from, for example, the page information of an e-commerce site. The information extraction unit 101 may extract the product identification information by analyzing the text or image of the product description on the e-commerce site. Further, the information extraction unit 101 may extract the product identification information by analyzing the text or image of the reviews posted on the e-commerce site.

[0016] Note that instead of extracting the product identification information from the page information, the information extraction unit 101 may extract the product identification information of the product for which the review is to be obtained from a list of pre-prepared product identification information.

[0017] The review acquisition unit 102 acquires the reviews of the product posted on the social media based on the product identification information extracted by the information extraction unit 101. The reviews of the product include impressions, evaluations, or usage examples of the product. The review acquisition unit 102 refers to the social media to acquire reviews other than those by product purchasers posted on the e-commerce site. Social media is a service that promotes interpersonal communication using the Internet. Social media includes, for example, Twitter (registered trademark), Instagram (registered trademark), YouTube (registered trademark), TikTok (registered trademark), blogs, web articles, etc. The reviews acquired by the review acquisition unit 102 are of any type, such as short texts, photos, videos, or blogs.

[0018] The review acquisition unit 102 acquires the reviews of the product specified by the product identification information. The review acquisition unit 102 determines, for example, whether a post is related to the product specified by the product identification information by analyzing the text, image, or video included in various posts on the social media. The reviews obtained by the review acquisition unit 102 are, for example, user-generated content generated by ordinary users of social media. For example, official accounts and business accounts are excluded from ordinary users. The review acquisition unit 102 may acquire user-generated content from the Internet, excluding information posted on the official website or official account of the product manufacturer or seller. The review acquisition unit 102 may exclude posts by store staff from the acquisition targets, considering that posts by store staff are not user-generated content. Whether the review acquisition unit 102 acquires posts by influencers may be appropriately designed.

[0019] The review acquisition unit 102 may classify reviews into several types according to whether they are short texts, photos, videos, or blogs. Also, the review acquisition unit 102 may classify the types of reviews according to the social media on which the reviews are posted. That is, the types of reviews represent the types of media such as short texts, photos, videos, or blogs, or the types of social media.

[0020] The review acquisition unit 102 may acquire user-generated content by distinguishing whether it is a tie-up post for advertising purposes. A tie-up post is a review in which a user of social media introduces a product at the request of an advertiser. Tie-up posts are distinguished from general posts by including PR (Public Relations) notations, etc. The review acquisition unit 102 may acquire user-generated content that is a tie-up post after determining that it is a tie-up post. Also, the review acquisition unit 102 may acquire user-generated content excluding tie-up posts.

[0021] The review acquisition unit 102 may acquire new reviews at predetermined intervals. Alternatively, the review acquisition unit 102 may acquire new reviews when it receives a review acquisition instruction from the display control unit 103. The display control unit 103 may instruct the review acquisition unit 102 to acquire new reviews when it receives a request to display a page selling products. The display control unit 103 receives, for example, a page display request from a user terminal used by a user browsing an e-commerce site.

[0022] The display control unit 103 displays the reviews acquired by the review acquisition unit 102 on the product sales page of the e-commerce site. For example, the display control unit 103 generates a page in which reviews are set in a predetermined area of ​​the product sales page. For example, the display control unit 103 displays the reviews in an area scrolled from the area where the product description is written. The display control unit 103 may also display the reviews when a collapsed and hidden area is expanded by a click and becomes visible.

[0023] The display control unit 103 may display sponsored posts and regular posts differently. For example, the display control unit 103 may display text or images indicating that a sponsored post is an advertisement. Alternatively, the display control unit 103 may separate the display areas for sponsored posts and regular posts and display them side by side. This allows users browsing the e-commerce site to understand whether a review is a post intended for advertising purposes.

[0024] Figure 2 shows an example of a review display screen displayed by the display control unit 103. Note that the screen shown in Figure 2 is just an example and can be modified in various ways.

[0025] The display control unit 103 may display multiple types of reviews. For example, the display control unit 103 may display images, tweets, blogs, videos, etc., posted by social media users side by side. The display control unit 103 may also display reviews in order of the most recent date and time they were posted.

[0026] The display control unit 103 may omit parts of the original review posted on social media. For example, the display control unit 103 may display a representative image from among multiple images included in the original review. Alternatively, the display control unit 103 may display a predetermined number of characters from the beginning of the original review's text. Furthermore, if the review is a video, the display control unit 103 may display a thumbnail image.

[0027] If the review is a blog, the display control unit 103 may display the blog title, the text within the blog, or a thumbnail image related to the blog. The user browsing the e-commerce site may choose which of the blog title, text, or thumbnail image the display control unit 103 displays.

[0028] The display control unit 103 may include a link to the original post for each review it displays. For example, depending on the selection of each review displayed, the display control unit 103 may include a link to launch the application of the social media platform where the review was posted. The display control unit 103 may also display a link to the original post associated with each review.

[0029] The display control unit 103 may also display a purchase button on the page displaying reviews. A purchase button is a button used on an e-commerce site to proceed with the purchase of a product. The purchase button includes a button to add the product to the cart. By displaying a purchase button on the page displaying reviews, the display control unit 103 allows users who have viewed product reviews to easily purchase the product. Furthermore, by displaying a purchase button near the reviews, the display control unit 103 can increase the purchase intent of users browsing the e-commerce site.

[0030] Furthermore, the display control unit 103 may display a link on the product sales page to display another page containing reviews. Figure 3 shows an example of a product sales page that includes a link to another page displaying reviews. The display control unit 103 displays the reviews acquired by the review acquisition unit 102 on the other page.

[0031] Figure 4 is a flowchart showing an example of the operation of the review provision system 100.

[0032] The information extraction unit 101 extracts product identification information to identify products sold on the e-commerce site (step S1). The information extraction unit 101 transmits the extracted product identification information to the review acquisition unit 102.

[0033] The review acquisition unit 102 acquires product reviews posted on social media based on product identification information (step S2). The review acquisition unit 102 transmits the acquired reviews to the display control unit 103.

[0034] The display control unit 103 displays the reviews received from the review acquisition unit 102 on the product sales page of the e-commerce site (step S3). With this, the review provision system 100 terminates its operation.

[0035] According to one embodiment, the information extraction unit 101 extracts product identification information that identifies products sold on an e-commerce site, and the review acquisition unit 102 acquires product reviews posted on social media based on the product identification information. Furthermore, the display control unit displays the reviews on the product sales page of the e-commerce site. Therefore, the review provision system 100 allows users browsing the e-commerce site to easily refer to reviews posted on social media other than the e-commerce site.

[0036] The number of customer reviews posted on e-commerce sites from those who have purchased products on the site may be insufficient. Furthermore, users browsing e-commerce sites may be concerned that the site only displays reviews favorable to the product seller. According to one embodiment, the review provision system 100 can provide users with a wide range of opinions about products by displaying reviews posted on social media.

[0037] The above embodiments are subject to various modifications. Hereinafter, we will describe some modifications.

[0038] (Example: Display according to the type of review) The display control unit 103 may group multiple types of reviews together and display them for each type of review. As mentioned above, the type of review is classified according to whether it is a short text, photo, video, or blog post. The type of review is also classified according to the social media platform on which the review was posted.

[0039] Specifically, for example, the display control unit 103 may display reviews containing photos in one area and reviews containing videos in another area distinct from that area. Alternatively, the display control unit 103 may separate the areas for displaying reviews depending on the social media platform on which the reviews were posted.

[0040] Figure 5 shows another example of a review display screen. The display screen in Figure 5 shows multiple reviews for each type of social media platform on which the review was posted.

[0041] By displaying reviews by type, the reviews are organized and presented clearly. Therefore, the review provision system 100 can provide reviews in a way that makes it easier for users browsing e-commerce sites to find the type of post they are looking for.

[0042] (Variation: Display according to product category) The review acquisition unit 102 may acquire reviews of a type corresponding to the product category. For example, the review acquisition unit 102 may prioritize a predetermined number of reviews of a type predetermined according to the product category. Also, if the review acquisition unit 102 cannot acquire reviews of a type with a predetermined high priority, it may acquire reviews of the next highest priority type. The display control unit 103 displays the reviews acquired by the review acquisition unit 102.

[0043] A product category represents the genre or target market of a product. Product categories are not particularly limited. Specifically, product categories might classify products into categories such as electronics, clothing, and food. The level of granularity of the classification can be determined as appropriate.

[0044] Specifically, for example, if the product category is clothing, the review acquisition unit 102 may acquire reviews that include images. The review acquisition unit 102 may also exclude reviews that do not include images from its acquisition target. Furthermore, for example, if the product category is food, the review acquisition unit 102 may prioritize acquiring reviews that include videos.

[0045] Furthermore, the display control unit 103 may display reviews of a type appropriate to the product category. For example, the display control unit 103 may display the reviews acquired by the review acquisition unit 102 in a predetermined order of priority for review types according to the product category.

[0046] Specifically, the display control unit 103 may prioritize the display of reviews posted on Instagram® over reviews posted on other social media platforms when it comes to clothing. Furthermore, the display control unit 103 may prioritize the display of reviews posted on blogs when it comes to electronic devices.

[0047] The type of review corresponding to a product category may be determined using a machine learning-based, trained model. For example, the type of review corresponding to a category may be determined by using a trained model that has been trained to identify the types of reviews that have been viewed frequently or for extended periods by one or more users for each product category.

[0048] The nature of the information provided to users differs depending on the type of review. By displaying reviews of a type corresponding to the product category, the review provision system 100 can provide reviews of an appropriate nature to users browsing the e-commerce site, depending on the category of product they are considering purchasing.

[0049] (Variation: User decision on the type of review) The display control unit 103 may display reviews of a type selected by the user. Figure 6 shows an example of a screen for selecting the type of review to display. The user selects the type of review they want to display on the selection screen. For example, the review acquisition unit 102 acquires reviews posted on social media selected by the user. The display control unit 103 displays the reviews posted on social media selected by the user. Although not shown in the drawing, the display control unit 103 may also display a selection screen that allows the user to select media types such as images, videos, and text as the type of review.

[0050] By displaying the type of review selected by the user, the review provision system 100 can provide reviews that match the user's preferences.

[0051] (Example: Displayed in order of popularity) The review acquisition unit 102 may acquire a predetermined number of reviews, prioritizing those that are popular on social media. The display control unit 103 may also display the reviews in order of popularity. A review is considered more popular if it has a higher number of views or a higher rating.

[0052] The number of views for a review may be, for example, the number of times the original post was viewed on social media. Alternatively, the number of views for a review may be the number of times it was displayed on an e-commerce site, or the number of times the original post was accessed from an e-commerce site.

[0053] The review rating can be, for example, the number of times the "Like" button was pressed on the original social media post. The review rating may also be expressed by the number of times the post was shared. Furthermore, the rating of posts by users with a large number of followers on social media may be set higher. In addition, any arbitrary rating system used by various social media platforms may be adopted as the review rating.

[0054] The review rating may be a rating voted by one or more users on an e-commerce site. User-generated content obtained from social media may not be considered a product review, even if it includes product-specific information extracted by the information extraction unit 101. The display control unit 103 may display an evaluation screen to users browsing the e-commerce site, allowing them to vote on the reviews obtained by the review acquisition unit 102. For example, one or more users browsing the e-commerce site may vote on the relevance of the reviews displayed on the e-commerce site to the product on the evaluation screen. Reviews that receive many votes for relevance are considered popular reviews. Based on this, the display control unit 103 can display reviews in order of their relevance to the product.

[0055] Figure 7 shows an example of a review rating screen. Users browsing an e-commerce site refer to reviews and vote on whether or not the reviews are relevant to the product.

[0056] The display control unit 103 displays reviews in order of popularity, enabling the review provision system 100 to provide high-quality reviews to users browsing e-commerce sites.

[0057] (Variation: Use of viewer information) The information extraction unit 101 may extract, in addition to product identification information, viewer information about users browsing the e-commerce site. Viewer information is information extracted by the review acquisition unit 102 in order to obtain reviews related to the user. For example, viewer information may include the user's age, gender, height, weight, clothing size, and residential area. The information extraction unit 101 may also extract information that the user has registered in advance when using the e-commerce site as viewer information.

[0058] The information extraction unit 101 transmits the extracted viewer information to the review acquisition unit 102, for example. The review acquisition unit 102 acquires reviews containing keywords corresponding to the viewer information from posts on social media, for example. Alternatively, the review acquisition unit 102 may acquire reviews from users whose social media user profiles contain keywords corresponding to the viewer information extracted by the information extraction unit 101.

[0059] The information extraction unit 101 extracts viewer information, and the review acquisition unit 102 acquires reviews corresponding to the viewer information, thereby enabling the review provision system 100 to acquire reviews related to users browsing e-commerce sites.

[0060] Specifically, for example, the information extraction unit 101 extracts product identification information, including the product name and size of the clothing item the user is viewing, and further extracts the user's height as viewer information. If a user who is 153 centimeters tall is browsing an e-commerce site and is viewing a size S clothing item, the review acquisition unit 102 may acquire reviews of the clothing item that contain keywords such as size S, short height, or 150-155 centimeters. The display control unit 103 displays the reviews acquired by the review acquisition unit 102, allowing the user browsing the e-commerce site to refer to reviews posted by buyers with similar body types, for example. Therefore, the user can check the fit and feel of the clothing before purchasing it.

[0061] (Variation example: Setting whether or not to display reviews) Whether or not the review acquisition unit 102 acquires product reviews may be set as appropriate. Similarly, whether or not the display control unit 103 displays product reviews may be set as appropriate.

[0062] For example, users browsing an e-commerce site may choose whether or not to display reviews. If a user does not wish to see reviews, they can choose not to display them.

[0063] Furthermore, whether or not to display reviews may be determined by the review acquisition unit 102 or the display control unit 103 by referring to the user's purchase history. For example, it is assumed that there is no need to display reviews for products that the user has purchased before, products that have been purchased more than a certain number of times, or products that are purchased regularly. Therefore, the review acquisition unit 102 or the display control unit 103 will not acquire or display reviews for these products based on the settings.

[0064] [Hardware configuration] In each of the embodiments described above, each component of the review provision system 100 represents a functional unit block. Some or all of the components of the review provision system 100 may be implemented by any combination of a computer 500 and a program.

[0065] Figure 8 is a block diagram showing an example of the hardware configuration of computer 500. Referring to Figure 8, computer 500 includes, for example, a processor 501, ROM (Read Only Memory) 502, RAM (Random Access Memory) 503, a program 504, a storage device 505, a drive device 507, a communication interface 508, an input device 509, an input / output interface 511, and a bus 512.

[0066] The processor 501 controls the entire computer 500. An example of a processor 501 is a CPU (Central Processing Unit). The number of processors 501 is not particularly limited; there may be one or more processors 501.

[0067] Program 504 includes instructions for implementing each function of the review provision system 100. Program 504 is pre-stored in ROM 502, RAM 503, and storage device 505. The processor 501 implements each function of the review provision system 100 by executing the instructions contained in program 504. RAM 503 may also store data processed in each function of the review provision system 100.

[0068] The drive device 507 reads and writes to the recording medium 506. The communication interface 508 provides an interface with the communication network. The input device 509 is, for example, a mouse or keyboard, and receives information input from the administrator of the e-commerce site, etc. The output device 510 is, for example, a display, and outputs (displays) information to the administrator, etc. The input / output interface 511 provides an interface with peripheral devices. The bus 512 connects each of these hardware components. The program 504 may be supplied to the processor 501 via the communication network, or it may be stored in the recording medium 506 beforehand, read by the drive device 507, and supplied to the processor 501.

[0069] Note that the hardware configuration shown in Figure 8 is an example, and other components may be added, or some components may be omitted.

[0070] There are various ways to implement the review provision system 100. For example, the review provision system 100 may be implemented by any combination of different computers and programs for each component. Alternatively, the multiple components of the review provision system 100 may be implemented by any combination of a single computer and program.

[0071] Furthermore, at least a portion of the review provision system 100 may be provided in SaaS (Software as a Service) format. That is, at least a portion of the functions necessary to realize the review provision system 100 may be executed by software that runs over a network.

[0072] Although the present disclosure has been described above with reference to embodiments, the present disclosure is not limited to the embodiments described above. Various modifications to the structure and details of the present disclosure can be understood by those skilled in the art within the scope of the present disclosure. [Explanation of Symbols]

[0073] 100 Review Provision System 101 Information extraction part 102 Review Acquisition Department 103 Display Control Unit

Claims

1. An information extraction method for extracting product identification information that identifies products sold on e-commerce sites, Based on the aforementioned product identification information, a means for acquiring reviews of the said product posted on social media, Display control means for displaying the acquired reviews on the page of the e-commerce site that sells the product, Equipped with, The display control means displays the reviews of the media type or social media type corresponding to the product category, based on the correspondence between the product category and the media type or social media type. Review provision system.

2. The reviews acquired by the aforementioned review acquisition means are user-generated content created by general users of social media. The review provision system according to claim 1.

3. The display control means displays multiple reviews together for each type of medium or social media. The review provision system according to claim 1 or 2.

4. The display control means causes the user browsing the e-commerce site to display reviews of the type of media or social media selected by the user. A review provision system according to any one of claims 1 to 3.

5. The display control means displays the reviews in order of their relevance, based on the voting results regarding the relevance between the product and the review conducted on the e-commerce site. A review provision system according to any one of claims 1 to 4.

6. The display control means displays the reviews in order of the number of views or the rating value on social media, in descending order of the number of views or rating value. A review provision system according to any one of claims 1 to 5.

7. The aforementioned media type is one of the following: short text, photograph, video, or blog. A review provision system according to any one of claims 1 to 6.

8. The display control means displays a purchase button for the product on the page where the reviews are displayed. A review provision system according to any one of claims 1 to 7.

9. A computer, Extract product identification information to identify products sold on e-commerce sites. Based on the aforementioned product identification information, we obtain reviews of the aforementioned product posted on social media, Based on the correspondence between the product category and the type of media or social media, the reviews of the media or social media type corresponding to the product category are displayed on the page selling the product on the e-commerce site. How to submit a review.

10. Extract product identification information to identify products sold on e-commerce sites. Based on the aforementioned product identification information, we obtain reviews of the aforementioned product posted on social media, Based on the correspondence between the product category and the type of media or social media, the reviews of the media or social media type corresponding to the product category are displayed on the page selling the product on the e-commerce site. A program that instructs a computer to perform a process.

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