KR20230063720A - Apparatus and method for providing product purchase service - Google Patents

Abstract

It relates to a product purchase service providing device, comprising: a review information providing unit that integrally manages product reviews collected from web sites; a search word input unit that receives a product search word for a product desired to be purchased by a user from a user terminal; and a controller for controlling display of review information corresponding to the product search word on a screen of the user terminal when a request for providing review information for the product search word is made from the user terminal. In this case, when a user input is made to a purchase trend providing menu displayed on one area of the screen, the controller may provide graph information on the number of purchases per preset period in relation to the review information. In addition, when the user accesses any one sales channel, the control unit controls a product sales page related to a desired product to be purchased, including detailed information on the desired product to be purchased, to be displayed on the screen. A keyword search icon for keyword search is displayed, and when a user clicks input to the keyword input unit within the keyword search icon, character recognition is performed on the page corresponding to the detailed information, and the keyword is entered through the keyword input unit. In this case, data matching the inputted keyword among text recognition-processed description data may be searched as matching keyword data and displayed on the screen.

Description

Apparatus and method for providing product purchase service {APPARATUS AND METHOD FOR PROVIDING PRODUCT PURCHASE SERVICE}

The present disclosure relates to an apparatus and method for providing a product purchase service.

Product purchase through online shopping can save time and overcome space limitations compared to product purchase through offline shopping. With the popularity of smart phones along with these advantages of online shopping, demand for purchasing desired products through online shopping is rapidly increasing.

It is common for buyers who want to shop online to acquire information about a product they want to purchase through reviews such as online purchase reviews or user reviews of other users. Therefore, it can be said that product reviews have a great influence on online shopping leading to actual purchase.

For this reason, product sellers are also promoting their products through various online channels, such as direct promotion or reviews using influencers.

There are various channels through which product reviews can be accessed, such as portal sites, e-commerce sales sites, and SNS, and product reviews are scattered across these various channels. Therefore, in order for buyers to acquire information about products online, they have to access various websites one by one, search for the name of the product they want to purchase on the website, and read reviews about the product, which takes a lot of time. can do. Since product sellers also have to market their products to each of the various channels, it can be said that a lot of cost is required. Therefore, a unified path or channel that comprehensively manages and provides product reviews is required.

In addition, it is difficult to see that reviews scattered across various channels are guaranteed to be accurate, and it is difficult to say that they contain useful information for purchase. This is because influencer marketing or reviews can be written by people who have actually purchased and used products, but product sellers or marketing companies commissioned by product sellers or influencers can write reviews. Accordingly, there is a need for a method for determining the accuracy of product reviews and whether information useful for purchase is included.

In addition, most of the reviews provided through each channel in the prior art simply provide reviews posted by a large number of people in the form of a list based on the latest order, ranking order, etc., so that the trends (fashion, It is difficult to intuitively identify trends, trends) and preferences.

In addition, generally, when buyers want to purchase a product online, they determine whether to purchase the desired product by looking at review information or product description information provided on a website that sells the product. Various information related to the product (for example, photo image of the product, size information or material information of the product, information on all ingredients, seller information, precautions information, shipping guide information, exchange/return procedure related information, notice information , announcement information, information related to human application experiments and tests, research information related to product efficacy/effect analysis, etc.) are bound to be included.

However, as the amount of various information in product detailed description information is vast and most of them are provided in the form of images that are impossible to search, the information desired by the buyer within the product detailed description information (eg, size information, ingredient information, exchange method) etc.), it was necessary to directly find the position where the desired information was displayed while reading various types of information one by one through several scrolling, and accordingly, there was a problem in that it took a long time to find the desired information.

The background technology of the present application is disclosed in Korean Patent Publication No. 10-2012-0013014.

The object of the present invention is to solve the problems of the prior art described above, and to provide a product purchase service providing apparatus and method capable of integrally managing and providing product reviews.

The present invention is to solve the above-mentioned problems of the prior art, and an object of the present invention is to provide a product purchase service providing apparatus and method that enable determination of accuracy of reviews and whether information useful for purchase is included.

The present application is intended to solve the above-mentioned problems of the prior art, and is intended to provide a product purchase service providing apparatus and method that allows a buyer to intuitively grasp trends (fashion, trend, tendency), preference, etc. for a product to be purchased. aims to

The present invention is to solve the above-mentioned problems of the prior art, and a product purchase service providing device that allows a user (buyer) to more easily and quickly find the information they are looking for among various information in detailed product description information provided on a website, and It aims to provide a method.

However, the technical problem to be achieved by the embodiments of the present application is not limited to the technical problems described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, an apparatus for providing a product purchase service according to an embodiment of the present invention includes a review information providing unit that integrally manages reviews of products collected from web sites; a search word input unit that receives a product search word for a product desired to be purchased by a user from a user terminal; and a controller for controlling display of review information corresponding to the product search word on a screen of the user terminal when a request for providing review information for the product search word is made from the user terminal.

In addition, the review information is information of at least a portion of the review information managed by the review information providing unit, and is information provided from any one sales channel among a plurality of sales channels, and the control unit controls the display of the screen. When a user inputs to the purchase trend providing menu displayed on one area, graph information on the number of purchases per preset period in relation to the review information may be provided.

In addition, the controller may provide review information related to purchase trend for each product type information when product type information on the desired purchase product is further input from the user terminal.

In addition, when it is detected that the user accesses any one of the sales channels, the control unit controls a product sales page related to a desired product to be purchased, including detailed information on the desired product to be purchased, to be displayed on the screen, A keyword search icon for keyword search within the detailed information may be displayed in one area.

In addition, the control unit performs character recognition processing on a page corresponding to the detailed information to enable character recognition of description data in the detailed information when a user clicks input to the keyword input unit in the keyword search icon. , When a keyword is input through the keyword input unit, data matching the inputted keyword among text recognition-processed description data may be searched as matching keyword data and displayed on the screen.

In addition, when the keyword is input, the control unit searches whether a synonym of the input keyword exists in the character recognition processed description data, and if the synonym exists as a result of the search, the synonym searched for in the synonym display unit of the keyword search icon. A list of synonyms may be displayed, and the matching keyword data may be re-searched in consideration of a synonym selected by the user from among the displayed synonym list.

Meanwhile, a method for providing a product purchase service according to an embodiment of the present disclosure includes, in a review information providing unit, comprehensively managing reviews of products collected from web sites; receiving, in a search word input unit, a product search word for a product desired to be purchased by a user from a user terminal; and controlling, by the controller, to display review information corresponding to the product search word on a screen of the user terminal when a request for providing review information for the product search word is made from the user terminal.

In addition, the review information is information of at least a portion of the review information managed by the review information providing unit, and is information provided from any one sales channel among a plurality of sales channels, and the control unit controls the display of the screen. When a user inputs to the purchase trend providing menu displayed on one area, graph information on the number of purchases per preset period in relation to the review information may be provided.

The above-described problem solving means are merely exemplary and should not be construed as intended to limit the present disclosure. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and detailed description of the invention.

According to the above-described problem solving means of the present application, it is possible to integrally manage and provide reviews on products scattered in a plurality of channels (a plurality of websites) through the review information providing unit, and search and provide reviews. can improve time efficiency and cost efficiency.

According to the above-described problem solving means of the present application, it is possible to select and provide reviews containing useful information for purchase through the review information providing unit (ie, it is possible to determine whether or not useful information for purchase is included), Accuracy of reviews can be ensured and user convenience can be improved.

According to the above-described problem solving means of the present application, by providing graph information on the number of purchases for each predetermined period, the user can more intuitively grasp the trend (fashion, trend, tendency) of the product desired to be purchased, the preferences of other users, etc. This can help you make a purchase decision for that product.

According to the above-described problem solving means of the present application, by providing a keyword search icon, it can be provided so that the user (buyer) can more easily and quickly find the information he or she is looking for among various types of information in detailed product description information provided on the website. .

However, the effects obtainable herein are not limited to the effects described above, and other effects may exist.

1 is a diagram showing a schematic configuration of a product purchase service providing system according to an embodiment of the present invention.
2 is a diagram for explaining a review information providing unit within an apparatus for providing a product purchase service according to an embodiment of the present disclosure.
3 is a diagram for explaining a method of providing review information by a review information providing unit within a product purchase service providing apparatus according to an embodiment of the present invention.
4 is a diagram for explaining an example of a method of collecting product information by a review information providing unit within an apparatus for providing a product purchase service according to an embodiment of the present disclosure.
5A is a diagram for explaining a method of generating review content by a review information providing unit within a product purchase service providing apparatus according to an embodiment of the present invention.
5B is a diagram illustrating an example of a deep learning model used by a review information providing unit in an apparatus for providing a product purchase service according to an embodiment of the present disclosure to extract review features.
6A is a diagram for explaining an example of a method for providing review information by a review information providing unit within a product purchase service providing apparatus according to an embodiment of the present disclosure.
6B is a diagram illustrating an example of a deep learning model used by a review information providing unit in an apparatus for providing a product purchase service according to an embodiment of the present disclosure to select a review.
7 is a diagram for explaining the form of a review provided on-line in the related art.
8 is a diagram illustrating an example of a product sales page provided in a sales channel in the related art.
9 is a diagram illustrating an example of detailed information in a product sales page provided in a sales channel in the related art.
10 is a diagram illustrating an example of a screen in which a keyword search icon provided by a control unit of a product purchase service providing apparatus according to an embodiment of the present invention is displayed on a product sales page displaying detailed information.
11 is a diagram illustrating an example of a keyword search icon provided by a control unit of an apparatus for providing a product purchase service according to an embodiment of the present invention.
12 is an operation flowchart of a product purchase service providing method according to an embodiment of the present invention.

Hereinafter, embodiments of the present application will be described in detail so that those skilled in the art can easily practice with reference to the accompanying drawings. However, the present disclosure may be implemented in many different forms and is not limited to the embodiments described herein. And in order to clearly describe the present application in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the present specification, when a part is said to be “connected” to another part, it is not only “directly connected”, but also “electrically connected” or “indirectly connected” with another element in between. "Including cases where

Throughout the present specification, when a member is referred to as being “on,” “above,” “on top of,” “below,” “below,” or “below” another member, this means that a member is located in relation to another member. This includes not only the case of contact but also the case of another member between the two members.

Throughout the present specification, when a certain component is said to "include", it means that it may further include other components without excluding other components unless otherwise stated.

1 is a diagram showing a schematic configuration of a product purchase service providing system 1000 according to an embodiment of the present invention.

Hereinafter, the product purchase service providing system 1000 according to an embodiment of the present application will be referred to as the present system 1000 for convenience of explanation.

Referring to FIG. 1 , the present system 1000 may include a product purchase service providing device 1 and a user terminal 2 . The device 1 for providing a product purchase service is the device 1 for providing a product purchase service according to an embodiment of the present invention, and hereinafter, it will be referred to as the device 1 for convenience of description.

Between the device 1 and the user terminal 2, data can be transmitted and received by interlocking with each other through the network 7. The network 7 includes, for example, a 3rd Generation Partnership Project (3GPP) network, a Long Term Evolution (LTE) network, a World Interoperability for Microwave Access (WIMAX) network, the Internet, a Local Area Network (LAN), and a Wireless LAN (Wireless). Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth (Bluetooth) network, NFC (Near Field Communication) network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc. It may include, but is not limited thereto, and may include various wired/wireless communication networks.

The user terminal 2 may refer to a terminal possessed by the user. The user terminal 2 is, for example, PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication )-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (WCode Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smartphone, smartpad, tablet PC, laptop, wearable It may include all types of wired and wireless communication devices such as devices and desktop PCs, but is not limited thereto.

The device 1 may provide a service that enables a user (or a user terminal possessed by the user) who desires to purchase a product online to purchase the product more efficiently.

The device 1 may be provided in the form of a device included in the user terminal 2, for example. In this case, the device 1 may be a device that can be implemented in the form of a program or application (app, app) installed in the user terminal 2 . In other words, the method for providing a product purchase service provided through the device 1 may be implemented in the form of a program or application, for example, and provided to a user through a terminal. However, it is not limited thereto, and as another example, the apparatus 1 may be provided in the form of a server capable of transmitting and receiving data to and from the user terminal 2 . The device 1 provided in the form of a server can control the screen display of terminals of users who access applications provided by the device 1 . In the present application, it will be described as an example that the device 1 is provided in the form of a server as an example.

In addition, the application (app, app) provided by the present device 1 herein will be referred to as this app for convenience of description below. According to this, the device 1 can control the operation of the terminals of users who have installed this app (for example, screen display operation, etc.). A more specific description of the device 1 is as follows.

The apparatus 1 may include a review information providing unit 100, a search word input unit 300, and a control unit 400.

The review information providing unit 100 may integrally manage and provide reviews of products collected from web sites. That is, the review information providing unit 100 may integrally manage and provide reviews of products scattered across a plurality of channels (a plurality of web sites). A description of the review information provider 100 can be more easily understood with reference to FIGS. 2 to 4, 5a, 5b, 6a and 6b.

2 is a diagram for explaining the review information providing unit 100 in the product purchase service providing device 1 according to an embodiment of the present invention. 3 is a diagram for explaining a method of providing review information by the review information providing unit 100 in the product purchase service providing apparatus 1 according to an embodiment of the present invention.

Referring to FIGS. 1 to 3 , various information on various products may exist on web sites. Information on products may include a (classification) category of the corresponding product and a name (product name) of the corresponding product. Web sites may have various reviews for various products.

If the operator of the website or a third party (buyer or seller of the product) can register information and reviews on the product, it may correspond to the website mentioned in this specification regardless of the name of the product. For example, a portal site, a video sharing site such as YouTube, an SNS site such as Instagram, and a blog may correspond to the website.

Information and reviews on various types of products may exist on the website. For example, videos, photos, texts, etc. may be registered and stored on a website as a form of information and reviews on products. In addition, information and reviews on products in a combined form of one or more of video, photo, and text may be registered and stored on the website.

The sales channel may correspond to a website where buyers want to purchase a product based on product information and reviews. For example, websites of online commerce companies such as Coupang, 11th Street, and Auction may correspond to sales channels mentioned in this specification.

The review information providing unit 100 may collect information on various products scattered on various websites and various reviews from the websites through wired/wireless communication, and manage them in an integrated manner. Here, information on various products and various reviews may be 'product information'.

In addition, the review information providing unit 100 may provide a review of a product requested from a sales channel among reviews managed integrally to a corresponding sales channel through wired/wireless communication. Here, the review provided to the sales channel may be 'review information'.

The review information providing unit 100 may include a processor 210, a memory 220 and a communication unit 230. In addition, the review information providing unit 100 further comprises a feature analysis deep learning (algorithm) model 500 shown in FIG. 5B, for example, or a review evaluation deep learning (algorithm) model 600 shown in FIG. 6B. ) may be further included.

The communication unit 230 may perform wired/wireless communication with web sites and sales channels. For example, one or more pieces of product information may be transmitted from web sites to the review information providing unit 100 through the communication unit 230 . Also, review information on products (target products) requested from the sales channels may be transmitted from the review information providing unit 100 to the sales channels through the communication unit 230 .

The memory 220 may store one or more programs (one or more instructions) for providing reviews on products. In addition, the memory 220 may store product information collected from web sites and review contents generated using the product information. Review content may be generated by matching a specific product with one or more pieces of review information on the specific product.

The processor 210 may execute the program stored in the memory 220 to perform the following operations.

First, the processor 210 may collect one or more pieces of product information from web sites (S310). Collected product information may include information on one or more products and one or more review information on each of the corresponding products. In addition, information about products may include a classification category and name (product name) of the corresponding product.

When the product information is collected, the processor 210 may select one or more pieces of review information corresponding to each of the products (S320). Review information selected as corresponding to a specific product may mean a review of the corresponding product or a review written on the corresponding product. Accordingly, process S320 may be understood as arranging or distributing a large number of reviews based on product identity.

When the review information is selected, the processor 210 may generate one or more review contents for the products by matching the products and the selected review information with each other (S330).

Review information on a single product may be scattered on various web sites, and a plurality of review information on a single product may exist on a single web site. Accordingly, the processor 210 matches product A with review information on product A collected from various websites and a plurality of review information on product A collected on one website, thereby providing a very large number of review information. You can sort them by product.

The processor 210 may control the generated review contents to be stored in the memory 220 . In addition, the processor 210 may select one or more pieces of review information on a target product requested from the sales channels based on the product and provide the selected review information to the sales channels (S340).

Depending on the embodiment, the processor 210 may, for example, convert the selected review information into an installation type application programming interface (API) form and provide it to sales channels.

In this way, the device 1 can integrally manage a large number of reviews scattered on various web sites through the review information providing unit 100 and provide reviews corresponding to requests. This device 1 can improve time efficiency and cost efficiency for searching and providing reviews through the review information providing unit 100 .

4 is a diagram for explaining an example of a method of collecting product information by the review information providing unit 100 in the product purchase service providing device 1 according to an embodiment of the present disclosure.

Referring to FIG. 4 , as described above, the processor 210 may collect a large number of product information scattered on various web sites from web sites. The method of collecting product information includes a method in which the manager of the review information providing unit or a third party requested to collect product information by the manager directly accesses websites and collects product information, and automation according to the command of the processor 210. All methods of collecting product information through processed processing may be possible.

A method of collecting product information through automated processing may be referred to as web crawling or web scraping. Web crawling or web scraping refers to a technique of extracting or collecting desired information from a web site using software technology.

The method of collecting product information through automated processing can be said to be a more improved method in terms of accuracy, time efficiency, and cost efficiency compared to the method of collecting product information by a manager or the like. Accordingly, the review information providing unit may be configured to use a method of collecting product information through automated processing.

First, the processor 210 may access web sites and search for product names (product names) from corresponding web sites (S410 and S420).

The product name may be acquired from sales channels or from a shopping-related web page of a portal site to which sales channels are integrally connected. For example, product names may be collected from a Naver shopping web page.

The processor 210 may collect review uniform resource locators (URLs) for products from a web page corresponding to a product name search result (S430). A URL is an address convention for informing where a resource is located on a network, and a review URL corresponds to a convention for informing an address at which a review is located on a network.

The processor 210 may collect review information by accessing web sites using the collected review URLs (S440) and searching for product reviews within the web sites (S450) (S460).

The above-described review information collection method may be operated in a crawler (not shown) configured separately inside the review information providing unit 100, for example. A crawler is a component that performs a function of collecting review information (web crawling function), and may exist for all web sites, or a separate crawler may exist for each web site.

A case in which a plurality of crawlers performing a web crawling function for each of the web sites is used may be referred to as a 'multi-process crawler'. In the case where websites in charge of each of a plurality of crawlers are assigned (multi-process crawler), even if a problem occurs in one crawler, the other crawlers are not affected, so the stability of the function of collecting review information can be increased. can

5A is a diagram for explaining a method of generating review content by the review information providing unit 100 in the product purchase service providing apparatus 1 according to an embodiment of the present invention. 5B is a diagram illustrating an example of a deep learning model used by the review information provider 100 in the product purchase service providing device 1 according to an embodiment of the present disclosure to extract review features.

Referring to FIGS. 5A and 5B , as described above, the processor 210 may select one or more pieces of review information corresponding to each product from among collected review information.

In order to automatically select review information corresponding to a specific product, a process of identifying which review is written for which product may be required. The review information providing unit 100 may be configured to determine which review is written for which product by analyzing the contents or characteristics of the review information.

To this end, in detail, the processor 210 first utilizes a deep learning model (feature analysis deep learning model) 500 learned to analyze the features of the review text to extract review features from each of the review information. It can (S510).

The review text may mean text included in the review information, and the review feature may mean review features extracted through the feature analysis deep learning model 500 . The characteristics of the review text may be morphemes constituting the review text. A morpheme is the smallest unit of speech having a certain meaning, and may include nouns, pronouns, numerals, postpositions, verbs, adjectives, adjectives, and adverbs.

As shown in FIG. 5B , the feature analysis deep learning model 500 may take the review text as an input, and extract and output features (review features) of the review text from the corresponding review text. The feature analysis deep learning model 500 may be trained using pre-collected review text as a training data set.

When the morphemes constituting the review text correspond to the characteristics of the review text, the processor 210 1) extracts the frequency of each of the morphemes constituting the review text (frequency of parts of speech) as a review feature, or 2) extracts the review text as a review feature. Among the constituent morphemes, the frequency of morphemes of a specific part of speech (eg, noun) may be extracted as a review feature, or 3) the frequency of morphemes corresponding to product names among morphemes having parts of speech that are nouns may be extracted as a review feature. there is.

'Frequency' means the number of occurrences or inclusion of 'morphemes' in the case of 1), the number of occurrences or inclusion of 'parts of speech of morphemes' in the case of 2), and the number of occurrences of 'product name' in the case of 3) It may mean the number of occurrences or inclusion of morphemes corresponding to '. 'Frequency' can be quantified as a score proportional to the number of times.

When the review features are extracted, the processor 210 may select one or more pieces of review information corresponding to each product (S520).

Comparison results between categories and product names of products and review characteristics may be used to select corresponding review information. When the review characteristics of a certain review correspond to the category and name of a certain product, the corresponding review may be written for that product. Accordingly, in this case, the corresponding review information may be selected as corresponding to the corresponding product. However, if the review characteristics of a review do not correspond to the category and name of a certain product, the review may not have been written for that product, so in this case, the review information will not be selected as not corresponding to the product. can

When one or more pieces of review information corresponding to each product are selected, the processor 210 may generate review content by matching or tagging the selected review information to a corresponding product (S530).

If there is already matched review information for the same product, a process of comparing the already matched review information and the selected review information may be performed. For example, when all of the selected review information is included in already matched review information, a process of matching the selected review information to a product may not be performed. In contrast, when some or all of the selected review information is not included in already matched review information, only review information that is not included may be additionally matched to the product.

6A is a diagram for explaining an example of a method of providing review information by the review information providing unit 100 in the product purchase service providing apparatus 1 according to an embodiment of the present invention. 6B is a diagram illustrating an example of a deep learning model 600 used by the review information provider 100 in the product purchase service providing device 1 according to an embodiment of the present disclosure to select reviews.

Referring to FIGS. 6A and 6B , as described above, among the review contents, review information on a target product requested from the sales channels may be provided to the sales channels.

However, review information may be written by a third party who did not actually purchase the product, and information useful for purchase may not be included in review information, so all review content (all review information) is accurate or useful for purchase. Can't guarantee it's useful.

In order to solve this problem, the review information providing unit may be configured to evaluate the review information and to provide review information having a relatively high evaluation among the review information on the target product first.

To this end, first, the processor 210 may evaluate each piece of review information included in review contents by utilizing a deep learning model (review evaluation deep learning model) 600 learned to evaluate review information (S610). .

The evaluation method of the review information may be a method of classifying or specifying the corresponding review information as one of preset evaluation grades. Preset evaluation levels may be 'useful' - 'normal' - 'bad' - 'advertisement' in order of gradually lowering. Pre-set ratings include analysis of reviews previously written by the reviewer, whether or not the review information was recently written (date of review information), the number of recommendations for the review information, the number of SNS followers operated by the reviewer, and neighbors. One or more of these may be included. That is, preset ratings may be set in consideration of evaluation criterion parameters.

As shown in FIG. 6B , the review evaluation deep learning model 600 may extract and output evaluation grades of corresponding review information by taking evaluation criterion parameters as inputs. The review evaluation deep learning model 600 may be learned using previously collected evaluation criterion parameters as a training data set.

When review information on the target product is requested from the sales channels (S620), the processor 210 selects the target product (S630), and among the review information on the target product, one or more review information classified into relatively high grades. can be selected (S640). Also, the processor 210 may provide selected review information to sales channels (S650).

In the description with reference to FIGS. 3, 4, 5A, and 6A described above, it is described that each process is sequentially executed, but this is merely an example of the technical idea of one embodiment of the present invention. In other words, those skilled in the art to which an embodiment of the present invention belongs may change the order described in FIGS. 3, 4, 5a and 6a without departing from the essential characteristics of the embodiment of the present invention. 3, 4, 5a, and 6a are not limited to a time-series order, since various modifications and variations can be applied by executing or executing one or more of the processes in parallel.

The device 1 may provide reviews (review information) on products sold online through the review information providing unit 100 . In particular, the present device 1 comprehensively collects and manages a vast amount of reviews scattered on a plurality of web sites through the review information providing unit 100 and accurately analyzes them to meet the needs of consumers (users). We can provide quality reviews that match.

As described above, the review information providing unit 100 may integrally manage product reviews collected from web sites. That is, the review information providing unit 100 provides integrated management review information as a review (review information) for a specific product in relation to a specific product (target product) that is sold online (or exists on websites). (integrated review information) can be provided. The review information providing unit 100 may provide integrated review information on a specific product to each of the sales channels that sell the specific product online.

According to this, conventionally, different reviews are provided for each sales channel for the same product (for example, the first sales channel provides 3 reviews for product a, and the second sales channel provides 300 reviews for product a). provided). That is, in the past, reviews of the same product were scattered (distributed) online in various forms. On the other hand, in the present device 1, the review information providing unit 100 collects integratedly managed reviews for the same product through a plurality of sales channels selling the same product (for example, a plurality of sales channels selling product a). (That is, integrated review information of product a) may be provided. According to this, for example, the user can be provided with the same review information (ie, integrated review information provided by the review information providing unit) regardless of accessing any sales channel among a plurality of sales channels selling the same product.

Meanwhile, the search word input unit 300 may receive input of a product search word (ie, product desired purchase search word) for a product desired to be purchased by the user from the user terminal 2 .

The desired purchase product may be any one of various types (types) of products sold online. Types of products may include, for example, clothing (tops such as short sleeves, long sleeves, outerwear, bottoms such as shorts, long pants, etc.), hats, cosmetics, bags, tissues, etc., but are not limited thereto, and are sold online. Various products (products, objects) that are used may be considered. Product type information, product name, product code name (serial number), etc. may be input as a product search term, but is not limited thereto.

When a request for providing review information for a product search word is made from the user terminal 2, the controller 400 controls display of review information corresponding to the product search word on the screen of the user terminal 2 in response to the request for providing review information. can

At this time, the review information is information of at least some of the review information (ie, integrated review information) that is integrated and managed by the review information providing unit 100, and is information provided from any one sales channel among a plurality of sales channels. can mean

That is, the review information corresponding to the product search word displayed on the screen of the user terminal 2 is a product input by the user among the integrated review information on a plurality of types of products integrated and managed by the review information providing unit 100. This may mean integrated review information on a search word. In other words, review information corresponding to product search terms displayed on the screen of the user terminal 2 may mean integrated review information on product search terms integratedly managed by the review information providing unit 100 . According to this, the review information displayed on the screen of the user terminal 2 herein may be referred to as integrated review information.

According to the review information providing unit 100 described above, for example, each of a plurality of sales channels that sell the first product online is review information of the first product integrated and managed by the review information providing unit 100 (ie, Integrated review information of the first product) may be provided from the review information providing unit 100 . Accordingly, each of the plurality of sales channels selling the first product may provide integrated review information of the first product to users accessing their sales channels.

In addition, after review information (integrated review information) corresponding to the product search term is displayed on the screen of the user terminal 2, the controller 400 controls the user for the purchase trend providing menu displayed on one area of the screen of the user terminal 2. When input is made, graph information on the number of purchases for each predetermined period in relation to review information may be provided on the screen of the user terminal 2 .

Here, the preset period may mean, for example, by date, month, year, etc., but this is only an example to help understanding of the present application, and is not limited thereto.

In addition, in providing graph information, the setting for the type of preset period (ie, date, month, year) may be set by a user's selection input, for example, but is not limited thereto, and as another example, It can be set by a user (manager) who manages the device 1.

That is, when a user input for the purchase trend provision menu is made, the control unit 400 converts the integrated review information into a graph of the number of purchases by date (or by month or year), based on, for example, integrated review information for product search terms. It can be generated and displayed on the screen of the user terminal (2).

In this case, when product type information on a product desired to be purchased is further input from the user terminal 2, the controller 400 may provide review information related to purchase trend for each product type information. Here, the product type information may include color information and/or size information of a product desired to be purchased.

According to this, the control unit 400 may provide the user with only integrated review information related to the color information and size information of the product the user wants to purchase among the integrated review information corresponding to the product search word, and at this time, such information (ie, Integrated review information related to color information and size information of the product desired to be purchased input by the user) may be provided as graph information on the number of purchases per preset period.

In addition, the controller 400 provides review information related to purchase trends for each product type information (ie, graph information on the number of purchases per preset period for each product type information) when product type information for a product desired to be purchased is input. In addition, review information corresponding to product type information input by the user (integrated review information corresponding to product type information) may be provided to the user.

For example, it is assumed that the user inputs 'size 55, black' as product type information on a product desired to purchase (for example, She's Miss coat). In this case, for example, the control unit 400 extracts only integrated review information related to a size 55 black coat among integrated review information related to a product desired to purchase (eg, a she's miss coat) and provides it to the user in the form of a list, for example. can In addition, the control unit 400 provides the user with graph information on the number of purchases by predetermined period (eg by date) generated based on integrated review information related to a size 55 black coat, for example, as review information related to purchase trends. can do.

According to this, the device 1 provides the user with purchase trend related information (graph information) considering the product type information, so that the user can determine what the user wants to purchase before actually purchasing a specific product (product desired to purchase). It is possible to intuitively grasp product trends (fashion, trend, trend) and preferences. In other words, the graph indicates whether the product you want to purchase is a product that has recently become popular due to a lot of purchases by other users, or a product that was popular because a lot of other users purchased it until last year, but has gone out of fashion this year due to a low purchase rate. Based on the information, it can be provided so that it can be grasped more intuitively and quickly.

In addition, the apparatus 1 not only provides integrated review information corresponding to a product search term, but also includes integrated review information corresponding to a product search term, in particular, an integrated review corresponding to specific product type information input by a user in relation to a product search term. It is possible to extract only the information and provide it to the user, so that the user can collect and view only the reviews of the product of the color and size he or she wants among the vast amount of review information and view them at once, and through this, make a decision to purchase the product. can help you

7 is a diagram for explaining the form of a review provided on-line in the related art.

Referring to FIG. 7 , suppose that a user searches for a coat (trade name) of the She's Miss brand online as a product search word, for example. Assume that the corresponding coat sold online has three colors (black, dark gray, ivory, and pink) and three sizes (55, 66, and 77).

At this time, it can be confirmed that conventionally, when providing a plurality of reviews for a corresponding product, they are simply provided in the form of a list based on the latest order, ranking order, and the like. That is, despite the existence of various colors and sizes of the corresponding coat, conventionally, a plurality of reviews uploaded by users are simply provided in the form of a list in the order in which the reviews were uploaded (newest order, etc.) without distinction.

According to this, conventionally, for example, when a user wishes to purchase a size 55 black coat among coats of the She's Miss brand, and wants to find and view only reviews of users who have purchased a size 55 black coat, the user displays a list in the form of a list. While checking the provided reviews one by one, it was inconvenient to find and check only the reviews on the size 55 black coat among the list. Therefore, the larger the number of reviews, such as 300 or 1000, the more difficult and time-consuming it is for the user to find reviews for the desired item (color and size of the product).

On the other hand, the present device 1 is not all reviews of products corresponding to product search terms, but only reviews corresponding to product type information (eg, size 55, black) input by the user among products corresponding to product search terms. As an example, it can be provided to the user in the form of a list, so that the user can more easily collect and view only the reviews on products of the color and size desired by the user.

In addition, according to the example shown in FIG. 7, conventionally, reviews of a specific product are simply provided in the form of a list with a date display (display of the date the review was written), so that the specific product is recently (for example, the last 6 months). There was a problem in that it was difficult to intuitively check whether a lot of purchases were being made from other users or whether recent purchases were not being made well from other users.

On the other hand, the device 1 provides purchase trend related review information (ie, graph information on the number of purchases per preset period related to product search terms, graph information on the number of purchases per preset period per product type information), thereby providing user Prior to purchasing a specific product, the product purchase trend (trend), such as whether other people have recently purchased the product a lot or not, and the preference (preference rate) of the product more intuitively By making it aware, it can be more helpful in purchasing decisions.

Hereinafter, keyword search icons considered in the apparatus 1 will be described in more detail with reference to FIGS. 8 to 11 .

8 is a diagram illustrating an example of a product sales page provided in a sales channel in the related art. 9 is a diagram illustrating an example of detailed information (detailed information on a specific product) within a product sales page provided in a sales channel in the related art. 10 is a view showing an example of a screen in which a keyword search icon 4 provided by the control unit 400 of the product purchase service providing apparatus 1 according to an embodiment of the present invention is displayed on a product sales page displaying detailed information. am. 11 is a diagram illustrating an example of a keyword search icon 4 provided by the control unit 400 of the product purchase service providing apparatus 1 according to an embodiment of the present invention.

Referring to FIGS. 8 to 11 , when the controller 400 detects that the user has access to any one of a plurality of sales channels, a product sales page related to the product desired to be purchased, including detailed information of the product desired to be purchased, is displayed. It can be controlled to be displayed on the screen of the user terminal (2). In this case, the detailed information of the product desired to be purchased displayed on the screen (ie, the detailed information in the product sales page) will be referred to as detailed information for convenience of description below.

Here, the product sales page is a page provided by any one sales channel accessed by the user, and may refer to a page that sells products (products desired to be purchased) corresponding to product search words. For example, FIG. 8 shows an example of a screen when a user inputs 'she's miss coat' as a product search word for a product desired to purchase and accesses, for example, an auction as a sales channel for selling the product. That is, when it is detected that the user accesses an auction as a sales channel, for example, the controller 400 displays a product sales page related to 'She's Miss Coat (product desired to purchase)' on the screen of the user terminal 2, for example. As shown in FIG. 8, a screen may be displayed.

At this time, when the product sales page is displayed, the controller 400 displays a keyword search icon 4 for keyword search in detailed information (detailed information of a desired product to be purchased) on one area of the screen of the user terminal 2 on the product sales page. It can be displayed on the screen of the user terminal 2 by overlapping on the image. As an example, FIG. 10 shows an example of a case in which keyword search icons 4 are overlapped and displayed on a product sales page (in particular, detailed information among product sales pages).

A user may perform a keyword search for all information included in a product sales page through a keyword search icon. That is, the keyword search icon may perform a keyword search targeting information included in a product sales page. Such a product sales page may include various information such as detailed information (detailed information on a product desired to be purchased) related to a desired product, purchase review information, product inquiry information, exchange/return related information, and the like. According to this, the keyword search icon may perform a keyword search for various information in a product sales page, including a keyword search in detailed information of a product desired to be purchased.

In addition, the control unit 400 recognizes the text of the page corresponding to the detailed information to enable text recognition of the description data in the detailed information when a user clicks input to the keyword input unit 4a in the keyword search icon 4. processing can be performed.

Here, the text recognition process may be, for example, an optical character reader (OCR) process. However, it is not limited to this, and as the text recognition processing considered herein, any processing method capable of recognizing (identifying) characters included in images and videos can be applied to various images and videos. . That is, various character recognition (identification) technologies that already exist or are developed in the future can be applied as the character recognition processing technology.

Here, the description data in the detailed information means all information included in the detailed information, and the description data may include description character data of a product desired to be purchased, product image data including such description character data, and the like.

As a specific example, the detailed information includes various information related to a specific product being sold (for example, a photo image of the product, a photo image of a model wearing the product, size information or material information of the product, all ingredient information, and seller information). , precautions information, shipping information, exchange/return procedure information, precautions information, notice information, human application test information, research information related to product efficacy/effect analysis, etc.) In the present device 1, various types of information included in such detailed information are referred to as description data.

As an example, FIG. 9 shows an example of detailed description (detailed information, particularly, description data within the detailed information) provided in relation to the 'She's Miss Coat' product shown in FIG. 8 . That is, when the user clicks, for example, a detailed description (detailed information on a product desired to be purchased) existing in a product sales page as shown in FIG. The information shown in FIG. 9 can be displayed as detailed information of the 'She's Miss Coat' product on the screen of 2).

At this time, as the size of the screen of the user terminal 2 is limited, the detailed information on the product shown in FIG. 9 is, for example, according to the user's scrolling motion (a) - (b) - (c) - ( It can be sequentially exposed (expressed) on the screen of the user terminal 2 in the order of d).

According to an example shown in FIG. 9, for example, detailed information about a 'She's Miss coat' product includes seller notice information (a), product image information for each color of the coat product (b), information related to the material of the coat product, and the like It can be confirmed that size-related information, etc. (c), exchange/return procedure-related information, and precautions information, etc. (d) are included. As such, generally, various types of information related to detailed information (detailed description information) of a specific product are provided online (on a website).

However, in general, the amount of various information in detailed information (product detailed information) about a specific product provided online is vast and most of them are provided in the form of an image that is not searchable as shown in FIG. 9 . For this reason, conventionally, in order to find desired information (eg, dimension information, component information, exchange method, etc.) within the corresponding detailed information, a user (buyer) reads various information one by one through multiple scrolling. It was necessary to directly find the location where is displayed, and accordingly, there was a problem in that it took a long time to find the desired information.

In order to solve this problem, the control unit 400 of the present device 1, when a user's click input is made to the keyword input unit 4a in the keyword search icon 4, the description data included in the detailed information (ie, Character recognition processing may be performed on a page corresponding to the detailed information so as to enable keyword search within the various types of information described above. By performing such character recognition processing, for example, characters included in the product image of FIG. 9 (eg, black (BK) and camel (KA)) can also be recognized (identified).

Thereafter, when a keyword is input through the keyword input unit 4a, the control unit 400 searches for data matching the input keyword among text recognition processed description data as matching keyword data, and displays the data on the screen of the user terminal 2. exposure can be controlled.

In the above description, it has been exemplified that the control unit 400 searches for matching keyword data targeting text recognition-processed description data, but this is only one example to help the understanding of the present application, and is not limited thereto. As another example, the controller 400 may perform a search for matching keyword data targeting all data included in the product sales page, including text recognition-processed explanation data (ie, various types of information in text recognition-processed detailed information). may be

For example, when a user wants to find and view only a description (information) related to 'black' among various types of information included in detailed information, the user enters a keyword input unit (in the keyword search icon 4 shown in FIG. After inputting 'black' as a keyword in 4a), an input button in the keyword input unit 4a may be clicked. In this case, the control unit 400 searches for data (words, keywords) (eg, black) matching the keyword 'black' input by the user among the character recognition processed description data as matching keyword data, and displays it on the screen. can be made Through this, the user can more quickly find and recognize (acquire) only the description (information) corresponding to the keyword he/she wants within the detailed information.

When there are a plurality of matching keyword data (for example, black) matching black in the character recognition processed description data, the controller 400 sequentially scans (moves) the plurality of matching keyword data from top to bottom. It can be controlled to be exposed on the screen one by one.

According to this, the apparatus 1 prepares the detailed information in a state in which text can be recognized (ie, performs text recognition processing) even in a situation where detailed information on-line is generally given in the form of an image, so that keyword search is possible. Through this, it is possible to provide the user with the ability to quickly find only information corresponding to a keyword desired by the user among various types of information (including text information in an image) included in the detailed information and acquire the information.

In addition, when a keyword is input through the keyword input unit 4a, the control unit 400 searches whether a synonym of the entered keyword exists in the character recognition processed description data, and if a synonym exists as a result of the search, a keyword search icon ( A list of searched synonyms may be displayed in the synonym display unit 4b of 4). In addition, the controller 400 may perform a re-search on matching keyword data in consideration of a synonym selected by the user from among the list of synonyms displayed in the synonym display unit 4b.

When the user selects at least one synonym from the list of synonyms displayed on the synonym display unit 4b, the control unit 400 determines the keyword input to the keyword input unit 4a and the user among the character recognition processed explanation data. Data matching the selected at least one synonym can be simultaneously searched (re-searched) together as matching keyword data to be displayed on the screen of the user terminal 2 .

When the controller 400 searches for synonyms in the text-recognized description data, the keyword (word) having the same meaning as the input keyword but having a different notation (recording) method and the input keyword and its meaning different from the input keyword (word) A keyword (word) including the same notation method as the keyword can be searched for as a synonym. Illustratively, looking at the former example, if the input keyword is, for example, 'black' representing a color, its synonyms may include black (English abbreviation of black), bk (English abbreviation of black), and the like. Looking at the latter example, when the input keyword is 'black', its synonym is a keyword (word) including the letter black, and may include, for example, a black box, a black consumer, and a black mango. A description of the synonym display unit 4b can be more easily understood with reference to FIG. 11(b).

Referring to (b) of FIG. 11 , for example, it is assumed that the user inputs 'black' meaning black color as a keyword in the keyword input unit 4a. In addition, as a result of searching whether there is a synonym of 'black' in the text-recognized description data, if 'black' and 'black box' are found as synonyms of 'black', the control unit 400 displays the searched synonyms in the synonym display unit 4b. ) can be displayed in

Then, suppose that the user selects 'black' from among the synonym lists (ie, black and black box) displayed on the synonym display unit 4b, for example, and clicks the input button in the keyword input unit 4a. As another example, assume that the user selects 'black box' from the list of synonyms to be deleted, and then clicks the input button in the keyword input unit 4a.

In this case, the control unit 400 identifies matching keyword data while simultaneously searching (simultaneously re-searching) data (words) matching each of the two keywords (ie, 'black' and 'black') among the character recognition processed description data. (search), and the identified (searched) matching keyword data can be controlled to be exposed on the screen. In this case, when identifying (searching) matching keyword data, the control unit 400 may prevent a search for an excluded synonym (for example, a black box) excluded from the user's selection among synonym lists.

As an example, suppose that there are two keywords (words) of 'black', three keywords of 'black', and one keyword of 'black box' in the character recognition processed description data. As an example of looking from the top to the bottom in the text-recognized description data, let's assume that it is written in the order of 'black, black, black, black, black box, black'.

At this time, if the input keyword is 'black' and the synonym selected by the user is 'black', the control unit 400 selects 'black' and words matching 'black' within the character recognition processed explanation data as matching keyword data. It can be sequentially exposed on the screen. As a specific example, when the user selects 'black' as a synonym, the controller 400 converts 'black' → 'black' → 'black' as matching keyword data whenever the user presses the input button in the keyword input unit 4a thereafter. → 'Black' → The keyword 'black' can be sequentially exposed on the screen one by one. At this time, according to the apparatus 1, it can be confirmed that the keyword 'black box' as matching keyword data is not exposed on the screen as the user does not select 'black box' as the synonym.

That is, in general, when the word 'black' (keyword) is entered as a search term, when a word matching the word is searched for (i.e., when searching for the word 'black'), the word 'black box' is also entered as 'black'. , it is common that the word 'black box' is searched together in addition to the simple word 'black'. According to this, in the prior art, when a user wants to search for content related to 'black', which means a black color, only data that matches the keyword (word) entered by the user is simply searched for and displayed, such as a black box. There is a problem in that unwanted information (unnecessary information) is also searched and provided to the user.

On the other hand, in the device 1, when a user wants to search for a specific keyword (for example, 'black' meaning black) within detailed information (in particular, text recognition processed description data), the user inputs Data that matches not only the keyword (eg black) equally matched with one keyword (eg black), but also the keyword (eg black) entered by the user as well as the synonym (eg black) selected by the user Search together to provide search results (ie, display the searched matching keyword data on the screen), but at this time, search results may be provided by excluding synonyms (eg, black box) not selected by the user from the search. . Through this, the device 1 can help the user to quickly and quickly find and check information about a keyword he/she wants within detailed information.

For example, 'black, black box, bk' is included in the list of synonyms displayed on the synonym display unit 4b, and after the user selects 'black' and 'bk' from the list of synonyms, Suppose you clicked the Enter button. In this case, the control unit 400 simultaneously searches for each data matched with 'black', 'bk', and 'black' in the text recognition processed description data sequentially at once (at this time, the unselected synonym 'black' Data matching the box' is not searched) Matching keyword data may be identified (searched), and the identified (searched) matching keyword data may be displayed on a screen.

Meanwhile, although not shown in the drawing, the present system 1000 may include a front display device (not shown).

A head up display (HUD) may be, for example, a device possessed by a user. For example, the front display device may be provided within the user terminal 2, but is not limited thereto, and may be provided separately from the user terminal 2 as another example. The front display device may provide sensory product information, which will be described later, to the front of the front display device (or to the front air or the front sky) through beam irradiation. A detailed explanation of this is as follows.

After review information corresponding to a product search word is displayed on the screen of the user terminal 2, the control unit 400 determines that product attribute information of a product desired to be purchased is displayed when a user inputs to the sensory information providing menu displayed on one area of the screen. An operation of the front display device may be controlled to provide product experience information corresponding to the product desired to be purchased in consideration to the user.

The device 1 may be interlocked (connected) with a front display device (not shown) through a network 7 . A head-up display (HUD) may provide product experience information to the front of the front display device (or to the front air or the front sky) through beam irradiation.

Here, product feeling information refers to data obtained by implementing a product desired to be purchased as a 3D stereoscopic image (ie, 3 dimensional stereoscopic image data). That is, product feeling information may refer to 3D stereoscopic image data of a product desired to purchase implemented in a size corresponding to the real (actual) size of the product desired to be purchased by the user. In other words, product feeling information may mean 3D product data (product desired to purchase in a 3D shape) corresponding to a product desired to be purchased, which is shown through a beam irradiated upward by the front display device.

Exemplarily, it is assumed that information about the total length, chest section, shoulder width, and sleeve length of the desired purchase product (for example, clothing) is obtained through crawling as product attribute information of the desired purchase product. At this time, when a user input is made to provide sensory product information on the desired purchase product (ie, when a user input is made for the sensory information providing menu), the control unit 400 displays the product desired to purchase in front of the front display device. An operation of the front display device may be controlled to provide product experience information corresponding to . At this time, the provided product feeling information may be data obtained by imaging the product desired to purchase as a 3D stereoscopic image according to the corresponding dimensions based on information on the total length, chest section, shoulder width, and sleeve length of the product desired to purchase.

The front display device may provide sensory product information to the front of the front display device (or to the front air or the front sky) through beam irradiation. The front display device may provide product experience information to the front of the front display device under the control of the controller 400 . The front display device can focus on the front of the front display device through a beam, and from this, a video (image) corresponding to product experience information can be displayed at a position corresponding to the focal point.

In other words, when a user input is made to the sensory information providing menu (feeling information providing button), the front display device scatters images in front of the front display device through beams in response to the control of the controller 400, thereby providing product sensory information. can be provided on the sky in front of the front display device.

In general, on online shopping malls (websites) that sell/transact products, information indicating the size of products sold (for example, total length, chest section, shoulder width, sleeve length, etc.) is simply displayed as a numerical value. Only values (few cm, mm, etc.) are displayed. Therefore, it is difficult for the user to easily estimate (determine) the size of the product (product) sold on the online shopping mall when he or she actually receives it.

That is, in the past, since the size of the product the user wants to purchase can only be estimated based on the numerical value displayed on the online shopping mall, when the user actually receives the product (ie, when he sees the actual product he purchased), he There were frequent cases where the size of the actual product was larger or smaller than the size of the product (the user himself) expected.

Accordingly, the present device 1 can provide product experience information, which is a 3D stereoscopic image having a size corresponding to the actual size of a product desired to be purchased, to the user through the front display device. This device 1 intuitively recognizes the actual size (actual size) of the product the user wishes to purchase by receiving product experience information prior to purchasing/paying for the product the user wishes to purchase (product desired to purchase). It can be provided so that you can experience it.

In particular, the controller 400 may control the movement of the front display device so that product experience information provided through the front display device is projected onto the user's body. To this end, although not shown in the drawing, the system 1000 may include, for example, an image sensor (not shown) and a movement control member (not shown) connected to the device 1 through the network 7. .

Here, the image sensor (not shown) may mean a sensor that acquires a user's body image, which is a projection target of product experience information. An image sensor (not shown) may be differently expressed as a camera, an image capturing sensor, and the like. The image sensor (not shown) may be, for example, at least one of an image sensor provided in the user terminal 2, an image sensor provided in the front display device, and an image sensor provided in the device 1 itself, but is not limited thereto.

A movement control member (not shown) is coupled to the front display device and can control movement of the front display device with respect to left/right/up/down/front/back. A movement control member (not shown) may control the movement and angle of the front display device. That is, the movement control member (not shown) may control not only the position but also the angle of the front display device providing product experience information.

As an example, the controller 400 may analyze a user's body image obtained through an image sensor (not shown) (eg, a head, neck, arm, wrist, upper body, lower body, ankle, foot, etc.) can be identified. In addition, the controller 400 may identify a classification type (eg, whether it is a top or bottom, whether it is an accessory such as a bracelet, or a hat) of the product desired to purchase corresponding to the product feeling information.

Thereafter, the controller 400 moves the product sensory information corresponding to the product desired to purchase to be projected onto the corresponding body part of the user based on the identified classification type of the product desired to purchase and the identified part of the user. The front display device may be moved by controlling the operation of a control site (not shown).

Exemplarily, when the classification type of the product desired to purchase is an upper garment, the controller 400 determines that the product feeling information corresponding to the product desired to purchase corresponds to the classification type of the product desired to purchase identified among parts of the user identified through image analysis. Control of moving the front display device may be performed through operation control of a movement control member (not shown) so as to be projected onto the upper body, which is a corresponding body part (ie, the upper body, which is a body part corresponding to the top). That is, the controller 400 may move the front display device so that the product feeling information corresponding to the product desired to purchase (top) is overlapped and projected onto the user's upper body, and the front display device moves to move. It is possible to control the operation of a control member (not shown).

This device 1 provides product experience information, allowing the user to purchase a purchase failure probability for the desired product (eg, the inconvenience of returning/exchanging/refunding due to small dimensions, etc.) can effectively kill

The apparatus 1 provides a 3D stereoscopic image having a size corresponding to the actual size of a desired product that the user desires to purchase among products sold on an online shopping mall through a front display device (i.e., product By providing sensory information), the user can experience and estimate the size (actual size) of the desired product more realistically.

Hereinafter, based on the details described above, the operation flow of the present application will be briefly reviewed.

12 is an operation flowchart of a product purchase service providing method according to an embodiment of the present disclosure.

The method of providing a product purchase service shown in FIG. 12 may be performed by the device 1 described above. Therefore, even if the contents are omitted below, the description of the device 1 can be equally applied to the description of the product purchase service providing method.

Referring to FIG. 12 , in step S11, the review information providing unit may integrally manage and provide reviews on products collected from web sites.

Next, in step S12, the search word input unit may receive a product search word (desired product search word) for a product desired to be purchased by the user from the user terminal.

Next, in step S13, when a request for providing review information for a product search word is made from the user terminal, the controller may control review information corresponding to the product search word to be displayed on the screen of the user terminal in response to the request.

Here, the review information is information of at least a portion of review information (integrated review information) managed by the review information providing unit, and may be information provided from any one sales channel among a plurality of sales channels.

In addition, in step S13, the controller may provide graph information on the number of purchases per preset period in relation to the review information when a user input is made to the purchase trend providing menu displayed on one area of the screen after the display of the review information. .

In addition, in step S13, the controller may provide review information related to purchase trend for each product type information when product type information on a desired purchase product is further input from the user terminal.

Further, in step S13, the control unit operates the front display device to provide sensory product information corresponding to a product desired to be purchased to the user when a user input is made to the sensory information providing menu displayed on one area of the screen after displaying the review information. can control.

In addition, in step S13, when it is detected that the user accesses any one of the plurality of sales channels, the control unit controls to display a product sales page related to the product desired to purchase, including detailed information on the product desired to purchase, on the screen. can At this time, the controller may display a keyword search icon for keyword search within detailed information on one area of the screen.

In addition, in step S13, when the user clicks input to the keyword input unit in the keyword search icon, the control unit may perform text recognition processing on the page corresponding to the detailed information so that text recognition of the description data in the detailed information is possible. there is. In addition, when a keyword is input through the keyword input unit, the control unit may search for data matching the input keyword among text recognition-processed description data as matching keyword data, and display the data on the screen.

In addition, in step S13, when a keyword is input, the control unit searches whether there is a synonym of the input keyword in the character recognition processed description data, and if there is a synonym as a result of the search, a list of searched synonyms is found in the synonym display unit of the keyword search icon. can display

In addition, in step S13, when the user selects at least one synonym from the list of synonyms displayed on the synonym display unit, the control unit displays the input keyword and the at least one synonym selected by the user among the text-recognized description data. Matched data can be searched together as matching keyword data and displayed on the screen.

In the foregoing description, steps S11 to S13 may be further divided into additional steps or combined into fewer steps, depending on an embodiment of the present invention. Also, some steps may be omitted if necessary, and the order of steps may be changed.

The product purchase service providing method according to an embodiment of the present disclosure and the methods described with reference to FIGS. 3, 4, 5A, and 6A are implemented in the form of program instructions that can be executed through various computer means and are computer readable. can be recorded on media. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the medium may be those specially designed and configured for the present invention or those known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to act as one or more software modules to perform the operations of the present invention, and vice versa.

In addition, the above-described product purchase service providing method and the methods described with reference to FIGS. 3, 4, 5A, and 6A may be implemented in the form of a computer program or application stored on a recording medium and executed by a computer. there is.

The above description of the present application is for illustrative purposes, and those skilled in the art will understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present application. Therefore, the embodiments described above should be understood as illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present application is indicated by the following claims rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts thereof should be construed as being included in the scope of the present application.

1000: Product purchase service provision system
1: Product purchase service providing device
100: review information providing unit
210: processor
220: memory
230: communication department
300: search term input unit
400: control unit
2: user terminal

Claims (6)

As a product purchase service providing device,
a review information providing unit that comprehensively manages product reviews collected from web sites;
a search word input unit that receives a product search word for a product desired to be purchased by a user from a user terminal; and
When a request for providing review information for the product search term is made from the user terminal, a control unit for controlling display of review information corresponding to the product search term on the screen of the user terminal;
The review information is at least part of the review information managed by the review information providing unit, and is information provided from any one sales channel among a plurality of sales channels;
Wherein the control unit provides graph information on the number of purchases per predetermined period in relation to the review information when a user input is made to a purchase trend providing menu displayed on one region of the screen. According to claim 1,
The control unit,
and providing review information related to purchase trend for each product type information when product type information on the desired purchase product is further input from the user terminal. According to claim 1,
The control unit,
When it is detected that the user accesses any one of the sales channels, controlling a product sales page related to a desired product to be purchased, including detailed information on the product desired to be purchased, to be displayed on the screen;
and displaying a keyword search icon for keyword search within the detailed information on one area of the screen. According to claim 3,
The control unit,
When a user clicks input into the keyword input unit in the keyword search icon, character recognition is performed on a page corresponding to the detailed information to enable character recognition of description data in the detailed information;
When a keyword is input through the keyword input unit, data matching the inputted keyword is searched as matching keyword data among text recognition processed description data and controlled to be displayed on the screen. According to claim 4,
The control unit,
When the keyword is input, it is searched whether there is a synonym of the input keyword in the character recognition processed description data, and if the synonym exists as a result of the search, a list of searched synonyms is displayed in the synonym display unit of the keyword search icon,
and re-searching the matching keyword data in consideration of a synonym selected by a user from among the displayed synonym list. A product purchase service providing method through the product purchase service providing device of claim 1,
In a review information providing unit, comprehensively managing reviews of products collected from web sites;
receiving, in a search word input unit, a product search word for a product desired to be purchased by a user from a user terminal; and
In a control unit, when a request for providing review information for the product search word is made from the user terminal, controlling review information corresponding to the product search word to be displayed on the screen of the user terminal,
The review information is at least part of the review information managed by the review information providing unit, and is information provided from any one sales channel among a plurality of sales channels;
Wherein the control unit provides graph information on the number of purchases per predetermined period in relation to the review information when a user input is made to a purchase trend providing menu displayed on one area of the screen.

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