KR20230030994A - System and method for operating on-line shopping mall using postscripts - Google Patents

Abstract

The present invention relates to an online shopping mall operation system using user reviews, capable of collecting and analyzing user reviews including customer foot data from customers having already purchased shoes or wearing shoes and providing customized shoe size recommendation information optimized for the feet of a customer wishing to purchase shoes based on the reviews, thereby increasing the satisfaction of shoe purchase and the competitiveness of a shopping mall. The online shopping mall operation system includes: an operation server providing a product page, collecting and analyzing user reviews including customer foot data from connected customers, and providing customized shoe size recommendation information optimized for the feet of a customer wishing to purchase shoes based on the reviews; a review writing user terminal accessing the operation server to register a user review including foot data of the user; and a product purchase customer terminal receiving shoe size recommendation information customized for the foot data of the user accessing the operation server and purchasing the shoes.

Description

Online shopping mall operating system and method using reviews {SYSTEM AND METHOD FOR OPERATING ON-LINE SHOPPING MALL USING POSTSCRIPTS}

The present invention relates to a system and method for operating an online shopping mall using user reviews, and more particularly, to collect and analyze user reviews including customer foot data from customers who have already purchased or worn shoes, and to purchase shoes based on this. A system and method for operating an online shopping mall using reviews that can increase the satisfaction of purchasing shoes and improve the competitiveness of a shopping mall by providing customized shoe size recommendation information optimized for a desired customer's foot.

Currently, various online shopping mall services are being provided along with the development of the Internet network. After accessing the online shopping mall service using a user's terminal, a user can conveniently order a product and compare products of various online shopping malls.

In addition, among these online shopping mall services, online shopping mall services related to shoes or clothes are continuously increasing.

However, due to the nature of online, since a user cannot purchase a product sold in an online shopping mall service related to shoes or clothing after wearing it, the online shopping mall service provides a reference size table for each part of a plurality of different sizes provided for the product. is provided, and the user has the trouble of directly selecting a size suitable for the user's body size by directly measuring his/her own body size and then comparing it to the reference size for each size shown in the size table for each body part.

Furthermore, there are cases in which various online shopping mall services set different reference measurements for the same size, so that when a user purchases a specific product from a specific shopping mall, he or she purchases a specific product of the same size as the size of the product purchased from another shopping mall. In this case, the size setting criteria are different between shopping malls, causing a problem that the user selects a size that is not suitable for his/her body.

Accordingly, there is a need for an alternative in which a user can easily select a size suitable for his/her body size when purchasing a product in an online shopping mall.

The present invention has been devised to solve the above problems, and its purpose is to collect and analyze customer reviews including customer foot data from customers who have already purchased or worn shoes, and based on this, provide information to customers who wish to purchase shoes. An online shopping mall operating system and method using user reviews that can increase the satisfaction of purchasing shoes and improve the competitiveness of a shopping mall by providing customized shoe size recommendation information optimized for the foot.

According to the present invention, it provides a product page, collects and analyzes customer reviews including customer foot data from connected customers, and provides customized shoe size recommendation information optimized for the feet of customers who wish to purchase shoes based on this. operating server; A user terminal writing a review that accesses the operation server and registers a review including his or her foot data; and a product purchase customer terminal that accesses the operating server and receives shoe size recommendation information tailored to the user's foot data when purchasing shoes. It provides an online shopping mall operating system using reviews, characterized in that it includes.

Preferably, the operation server, a communication unit for accessing the information communication network; a product sales unit providing a product page through which a customer terminal connected through the communication unit can inquire and purchase shoe products; a review registration unit for receiving and registering reviews including customer foot data and evaluation information in response to a user review registration request from a review user terminal connected through the communication unit; a review management unit that classifies and manages reviews received by the review registration unit by foot type; According to the customer's request for shoe size recommendation, a review analysis unit that analyzes reviews registered as a foot type matching the customer's foot type and determines a customized shoe size optimized for the customer's foot who requested the shoe size recommendation; and a recommendation information providing unit that transmits the customized shoe size determined by the review analysis unit and user reviews classified according to the corresponding customer's foot type to a terminal of a customer purchasing a product who has requested a shoe size recommendation; It is characterized in that it includes.

Preferably, the user terminal writing a review is a terminal of a previous purchaser who has purchased shoes at the corresponding shopping mall, or a terminal of a purchaser who has purchased the corresponding shoes from a shopping mall other than the corresponding shopping mall or purchased and worn the corresponding shoes from an offline shopping mall. characterized by

Preferably, the customer's foot data included in the customer reviews is characterized in that it includes two numerical elements of the actual foot length and the actual foot ball width of the existing purchaser or the actual purchaser.

Preferably, it is characterized in that the customer's foot data includes information on the usual shoe size of the previous purchaser or the actual purchaser.

Preferably, the evaluation information included in the user reviews is characterized in that it includes the actual wearing satisfaction index and recommended size information related to the shoes of the previous purchaser or the actual purchaser, and the actual wearing review information containing the experience of using the corresponding shoes.

Preferably, the review management unit extracts the foot length and width of the foot ball of the creator from the foot data included in the user review, and compares the value obtained by dividing the foot ball width by the foot length with the grade value of the foot type group to obtain the closest grade value. Determines a foot type group, classifies and manages corresponding reviews in the foot type group of the corresponding rating value, and in the operation server, at least two or more feet with a rating value obtained by gradually increasing the value obtained by dividing the width of the foot by the length of the foot. Characterized in that the type group is classified.

Preferably, the review analysis unit requests foot data from a terminal of a product purchasing customer who has requested a shoe size recommendation, receives foot data including an actual foot length and an actual foot ball width of the customer requesting the recommendation, and receives the customer's foot data. The foot length and foot ball width are extracted from, and the value obtained by dividing the foot ball width by the foot length is compared with the grade value of the foot type group to determine the group with the closest grade value, and the foot type group of the grade value is the foot type of the customer. type, select reviews registered for the customer's foot type among managed reviews, extract actual foot length and recommended size information from the selected reviews, and subtract recommended size from actual foot length The value is calculated for each review, the average value of the values minus the recommended size is calculated first from the actual foot length calculated for each review, and the average value of this recommendation is added to the actual foot length of the customer who requested the shoe size recommendation to calculate the adaptive size. , It is characterized in that the shoe size closest to the adaptive size is determined as the optimized customized shoe size.

On the other hand, according to another aspect of the present invention, (a) receiving and registering reviews including customer foot data and evaluation information according to a user review registration request of a review writing user terminal to which an operation server is connected; (b) grouping, classifying, and managing reviews received by the operation server by foot type; (c) receiving, by the operation server, a shoe size recommendation request from a product purchasing customer terminal; (d) determining, by the operation server, a customized shoe size optimized for the foot of the customer who has requested a shoe size recommendation by analyzing reviews registered as a foot type matched with the customer's foot type; and (e) transmitting, by the operation server, the determined customized shoe size and user reviews classified according to the corresponding customer's foot type to a customer terminal that has made a shoe size recommendation request; It is characterized in that it includes.

Preferably, the user terminal writing a review is a terminal of a previous purchaser who has purchased shoes at the corresponding shopping mall, or a terminal of a purchaser who has purchased the corresponding shoes from a shopping mall other than the corresponding shopping mall or purchased and worn the corresponding shoes from an offline shopping mall. characterized by

Preferably, the customer's foot data included in the customer reviews is characterized in that it includes two numerical elements of the actual foot length and the actual foot ball width of the existing purchaser or the actual purchaser.

Preferably, it is characterized in that the customer's foot data includes information on the usual shoe size of the previous purchaser or the actual purchaser.

Preferably, the evaluation information included in the user reviews is characterized in that it includes the actual wearing satisfaction index and recommended size information related to the shoes of the previous purchaser or the actual purchaser, and the actual wearing review information containing the experience of using the corresponding shoes.

Preferably, the step (a) may include: receiving a user review registration request from a review writing user terminal to which the operation server is connected; Receiving size selection information to write a review by the operating server inquiring about the cumulative status of reviews for the shoe product, and transmitting the cumulative status of reviews by size of the corresponding shoe to a user terminal writing a review; checking, by the operation server, the purchase record of the account of the requester for review registration and determining whether the user terminal writing a review is a previous purchaser of the shoes in the corresponding shopping mall; If the user terminal writing a review is a previous purchaser who has purchased the shoes in the corresponding shopping mall, the operation server provides the customer's foot data including the actual foot length, actual foot width, and usual shoe size of the previous purchaser, actual fit satisfaction index, and recommended size. and receiving evaluation information including actual wear reviews as user reviews; If the user terminal writing a review is not a previous purchaser who has purchased the shoes in the shopping mall, but has purchased the shoes in a shopping mall other than the corresponding shopping mall, or has purchased the shoes in an offline shopping mall and tried them on, the operating server sends the actual wearing image Or, using wear certification information including wear image information, customer foot data including actual foot length, actual foot width and usual shoe size of previous purchasers, evaluation information including wear satisfaction index, recommended size, and wear reviews receiving as late; and registering, by the operating server, reviews including foot data and evaluation information of the collected purchasers or actual purchasers; It is characterized in that it includes.

Preferably, in the step (b), the operation server extracts the foot length and width of the foot of the creator from the foot data included in the user review, and the value obtained by dividing the ball width by the foot length is calculated as a grade value of the foot type group and Determines the foot type group with the closest rating value by comparison, classifies and manages the reviews corresponding to the foot type group of the corresponding rating value, and in the operation server, the value obtained by dividing the width of the foot by the length of the foot is gradually increased. It is characterized in that at least two or more foot type groups having are classified.

Preferably, in the step (d), the operation server requests foot data from a product purchase customer terminal requesting a shoe size recommendation and receives foot data including the actual foot length and actual foot ball width of the customer requesting the recommendation, , extract the foot length and foot ball width from the customer's foot data, compare the value obtained by dividing the foot ball width by the foot length with the grade value of the foot type group, determine the group with the most approximate grade value, and determine the foot type of the grade value Determines the customer's foot type as a group, selects reviews registered for the customer's foot type among the reviews managed by the operation server, and extracts actual foot length and recommended size information from the selected reviews. The value obtained by subtracting the recommended size from the actual foot length is calculated for each review, the average value of the values obtained by subtracting the recommended size from the actual foot length calculated for each review is first calculated, and the average value of this recommendation is calculated based on the customer's request for shoe size recommendation. In addition to the actual foot length, the adaptive size is calculated, and the shoe size closest to the adaptive size is determined as the optimized customized shoe size.

According to the present invention, customer reviews including customer foot data are collected and analyzed from customers who have already purchased or worn shoes, and based on this, customized shoe size recommendation information optimized for the feet of customers who wish to purchase shoes is provided. There is an effect of increasing the satisfaction of purchasing and improving the competitiveness of the shopping mall.

1 is a diagram for explaining an online shopping mall operating system according to an embodiment of the present invention.
Figure 2 is a diagram for explaining the internal configuration of the operation server according to an embodiment of the present invention.
3 is a flowchart illustrating a method for operating an online shopping mall according to an embodiment of the present invention.
4 is a flowchart for explaining in detail a review registration process according to an embodiment of the present invention.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. Like reference numerals have been used for like elements throughout the description of each figure.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. These terms are only used for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention. The terms and/or include any combination of a plurality of related recited items or any of a plurality of related recited items.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle.

Terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram for explaining an online shopping mall operating system according to an embodiment of the present invention.

An online shopping mall management system using user reviews according to an embodiment of the present invention provides various product pages for searching and purchasing shoe products, collects and analyzes user reviews including customer foot data from connected customers, and analyzes them. Based on the operation server 300 that provides customized shoe size recommendation information optimized for the foot of a customer who wishes to purchase shoes, and a review that accesses the operation server 300 and registers a review including one's own foot data It may be configured to include a creation user terminal 100 and a product purchase customer terminal 200 that connects to the operation server 300 and receives shoe size recommendation information tailored to the user's foot data when purchasing shoes.

First, the product is a product having several product sizes classified according to various body sizes. For example, shoes, outerwear, underwear, gloves, socks, etc., are classified into product sizes in several stages according to the size of people's physique and body parts, and products are manufactured, and buyers actually purchase them considering their own physique and size for each part. You will decide the product size of the product and purchase the product made in that size.

Hereinafter, a specific embodiment of the present invention will be described by taking shoes as a representative example among products having classified product sizes, but the online shopping mall operating system and method using the user reviews of the present invention are not only shoes, but also outerwear, Of course, the same principle can be applied to products manufactured in multiple stages of product size, such as underwear, gloves, and socks.

Shoes are manufactured with various numerical factors such as foot length and width, instep ball, instep circumference, height, distance, and thickness, but as a product, the representative numerical element disclosed to buyers by size is about foot length.

In the case of shoes, only shoe size information (only foot length is indicated in the notation for each country, such as US, JP, etc.) is provided when selling the product. Depending on the shoe maker or shoe type, it is recommended to wear 5mm larger or 5mm smaller than your usual shoe size. It often fits your feet. For this reason, there is a strong perception in the market that shoes must be tried on before buying, and the online market is less competitive than the offline market.

Also, in terms of the shape of the foot, for example, a person with a large ball of the foot compared to the length of the foot wears shoes that fit the ball of the foot rather than the length of the foot, so it is better to wear shoes that are larger than the shoe size worn by people with similar foot lengths. gets hit

Therefore, considering both the length of the foot and the ball of the foot, information recommended by people with the same type of foot shape is very valid information, but recommended information from people with different types of foot shape may not be suitable for the individual.

In the present invention, these two numerical elements of foot length and foot ball width are defined as foot data.

In the present invention, the operating server 300 provides a variety of product pages through which a customer terminal can inquire and purchase shoe products. At this time, on the product page, the shoe size classified for the introduced shoe and the numerical value (eg, foot length) of each shoe size are disclosed together.

Customers who have inquired about such shoe sizes and their numerical values will decide the shoe size themselves based on their purchasing and wearing experiences, or decide the shoe size of the shoes to be purchased by referring to the numerical values for each shoe size. Of course, this traditional online shoe purchase method will have various errors as described above.

Meanwhile, in the present invention, the user terminal 100 for writing a review registers a review for a corresponding shoe product.

These reviews may be from previous purchasers who have purchased the shoes at the shopping mall, and actual buyers who have purchased the shoes at a shopping mall other than the shopping mall or bought the shoes at an offline shopping mall and tried them on register these reviews. can do.

An existing purchaser or an actual purchaser accesses the operation server 300 through his/her terminal 100 and registers a user review containing his or her shoe use experience. These reviews include foot data and evaluation information of pre-buyers or actual buyers.

The foot data is two numerical elements of the actual foot length and the actual foot ball width of the pre- or worn-out purchaser, and also includes shoe size information that they usually wear. In addition, the evaluation information is the actual wearing satisfaction index and recommended size information related to the shoe of the previous purchaser or the actual purchaser, and detailed wearing review information containing the experience of using the corresponding shoe. The operation server 300 will collect reviews including the foot data and evaluation information of such pre- or actual buyers.

Meanwhile, a customer who wants to purchase shoes accesses the operating server 300 through his/her terminal 200 and searches the product page of the shoes he/she wants to purchase. In addition, the customer may request a shoe size recommendation suitable for him/her for the corresponding shoe by transmitting his/her foot data to the operation server 300 .

In response to such a request for shoe size recommendation, the operation server 300 analyzes foot data and evaluation information of previous purchasers or actually worn purchasers from reviews collected for the corresponding shoe, and selects a product that is closest to the foot data of the customer requesting shoe size recommendation. It will recommend a shoe size.

In order to increase the accuracy of such shoe size recommendation, the operating server 300 first performs a grouping operation to classify reviews of various foot types by foot type.

Looking at the principle, the actual human body has various dimensions for each part. Table 1 below is a comparison table of foot sizes (foot length - foot width) based on American men.

Table 1 shows the size chart of the ball of the foot by foot length, which means that the ball of the foot is divided into 8 types (AA / A / B / C / D / E / EE / EEE) by size even though they have the same foot length. . When selling the actual product, the size of the ball of the foot is not indicated, only the length of the foot. Therefore, a person with a large ball of the foot should wear a larger size shoe than the shoe size worn by people with a similar foot length, but since the size of the shoe is different for each shoe, a lot of errors occur in product selection.

The operation server 300 divides the foot ball width by the foot length (foot ball width/foot length) as shown in Equation 1 below, and divides the foot types into 8 groups as shown in Table 2 below.

Referring to Table 2, it can be seen that the values of (foot ball width/foot length) have almost similar values within the same foot ball width classification (AA/A/B/C/D/E/EE/EEE) even if the shoe size is different. can Based on this, eight foot type groups can be created as shown in Table 3 below, based on the average value of (foot ball width/foot length) values calculated for each shoe size within one foot ball width classification.

Thereafter, the operation server 300 extracts the foot ball width and foot length from the foot data of the registered reviews, calculates the value of (foot ball width / foot length) to determine the foot type of the author who wrote this review, In this case, the corresponding review is registered in the group of the determined foot type.

In addition, the operation server 300 extracts the ball width and foot length from the customer's foot data according to the shoe size recommendation request of the buyer who wants to purchase shoes, and calculates a value of (foot ball width/foot length). For example, if the value of (foot ball width/foot length) is 0.415, it is determined as the closest seventh group (EE) (see Table 3). In addition, the operating server 300 selects reviews previously registered in the seventh group (EE) and provides them to the corresponding purchaser to assist the customer in determining the size.

In addition, the operation server 300 analyzes foot data and evaluation information of pre-buyers or actually worn buyers in the reviews of the determined foot type group, and recommends a shoe size most similar to the foot data of the customer who requested shoe size recommendation.

Table 4 below shows a process of deriving customized shoe size recommendation information using the reviews belonging to the seventh group (EE).

In the 3 reviews belonging to the 7th group (EE), the actual foot lengths of the review writers are 243, 252, and 271. And the recommended shoe sizes included in the evaluation information of the user reviews that these writers recommend after using the product are 250, 260, and 280.

In this case, the difference between the registered shoe size and the actual foot length is calculated, and the average value (8) of the calculated difference is calculated. By adding the recommended average value within the foot type group calculated in this way to the foot length of the customer who requested the shoe size recommendation, the optimal customized shoe size recommendation information is derived. For example, if the recommended average value is 8 in the 7th group (EE) and the actual foot length of the customer requesting recommendation determined to belong to the 7th group (EE) is 260 mm, 260 + 8 = 268, so the closest 270 size will recommend As another example, if the recommended average value is 8 in the 7th group (EE) and the actual foot length of the customer requesting recommendation determined to belong to the 7th group (EE) is 258 mm, 258 + 8 = 266, so the closest 265 size will recommend

Here, a customer who has been recommended a shoe size can select a review that has the greatest influence on their shoe purchase decision while purchasing the recommended shoe size, and the operation server 300 provides a separate review for customers who have registered the selected review. of reward points can be awarded. In this way, better quality reviews can be expected by paying reward points to customers who write reviews that influence the purchaser's choice of shoe size. On the other hand, if the user reviews that have the greatest influence on the product purchase decision are recommended to the purchasing customer, a discount coupon for the product can be provided once so that the customer can receive a discount when purchasing the product. Points can also be provided to the person who wrote a review selected at the time of purchasing the product using the discount coupon. Therefore, even if you write a good review and post it, points are accumulated every time you receive a recommendation, which motivates you to write a good review.

In addition, in various subdivided shoe sizes, there may be a tendency for user reviews to be concentrated only in a specific range of shoe sizes that have a large purchasing group. To prevent this, the operating server 300 may allow only a certain number of reviews to be registered for each shoe size. Therefore, for shoe sizes whose reviews are actively registered due to a large purchasing group, reviews are mainly registered by buyers who have purchased shoes of that size in the shopping mall. Regarding ',' not only existing buyers but also actual buyers who have purchased the corresponding shoes from a shopping mall other than the corresponding shopping mall or purchased the corresponding shoes from an offline shopping mall and tried them on can register a review.

Such a user terminal 100 writing a review or a customer terminal 200 purchasing a product is an end-user computer connected to the operation server 300 through an information communication network, and it is preferable to adopt a laptop computer or a handheld PC, but It is not limited thereto and should be construed as including all information communication terminals capable of transmitting and receiving data through a network. Accordingly, a smartphone, a cellular phone, a PCS, or a PDA can also be a user terminal 100 for writing a later or a customer terminal 200 for purchasing a product.

In addition, the user terminal 100 writing a review or the customer terminal 200 purchasing a product is a typical system component, and calls a web page based on a URL (Uniform Resource Locator), and converts it to HTML (Hyper-Text Markup Language) It includes a web browser program that interprets codes and displays them on a monitor, and an operating system (OS) program that manages and controls the computer system as a whole.

Figure 2 is a diagram for explaining the internal configuration of the operation server according to an embodiment of the present invention.

Referring to FIG. 2, the operation server 300 is managed by a shopping mall operator, and a communication unit 320 for accessing an information communication network and a customer terminal connected through the communication unit 320 can inquire and purchase shoes. In response to a review registration request from the product sales unit 330 that provides various product pages and the review writing user terminal 100 connected through the communication unit 320, reviews including customer foot data and evaluation information are received A review register 340 for registering, a review management unit 350 for classifying and managing the reviews received by the review register 340 by foot type, and matching the customer's foot type according to the customer's shoe size recommendation request A review analysis unit 360 that analyzes reviews registered by foot type to determine a customized shoe size optimized for the foot of a customer who has requested a shoe size recommendation, and the customized shoe size determined by the review analysis unit 360 and the corresponding customer It is configured to include a recommendation information providing unit 370 that transmits reviews classified by foot type to the product purchasing customer terminal 200 that has requested a shoe size recommendation, and a server control unit 310 for controlling each unit. do. Here, the DB unit 380 records and manages information for operating the online shopping mall operating system using the above-described reviews, such as member account information, member access information, product information, review information, and size recommendation information.

The review registration unit 340 receives and registers reviews including customer foot data and evaluation information through the connected review writing user terminal 100 .

Here, the user terminal 100 writing a review may be a terminal of a previous purchaser who has purchased shoes from the corresponding shopping mall, and has purchased the corresponding shoes from a shopping mall other than the corresponding shopping mall or purchased the corresponding shoes from an offline shopping mall and tried them on. may be a terminal of

In addition, the customer's foot data included in the user reviews includes two numerical elements of the actual foot length and the actual foot ball width of the purchaser who has already worn or worn the purchaser, and may also include information on the size of shoes worn by the customer.

In addition, the evaluation information included in the user reviews may include a wearing satisfaction index and recommended size information related to the shoe of the previous purchaser or the purchaser having worn the shoe, and detailed wearing review information containing the experience of using the corresponding shoe.

The review management unit 350 classifies and manages the reviews received by the review registration unit 340 by foot type.

In the post management unit 350, at least two or more foot type groups having a grade obtained by gradually increasing a value obtained by dividing the width of the foot by the length of the foot are classified. As an example, as shown in Table 3, the rating value of the first group (AA) is 0.303541, the rating value of the second group (A) is 0.322169, the rating value of the third group (B) is 0.340873, and the rating value of the fourth group (B) is 0.340873. The rating value of group (C) is 0.358789, the rating value of the fifth group (D) is 0.377575, the rating value of the sixth group (E) is 0.395851, the rating value of the seventh group (EE) is 0.413469, The grade value of the eighth group (EEE) may be 0.43122.

The review management unit 350 first performs a grouping operation to classify reviews of various types of reviews by origin type.

The review management unit 350 extracts the foot length and width of the ball of the foot of the creator from the foot data included in the review, and compares the value obtained by dividing the width of the ball of the foot by the foot length with the grade values of the 8 groups, and the group with the closest grade value. is determined, and the reviews are classified and managed according to the foot type group of the corresponding rating value.

The review analysis unit 360 first determines the customer's foot type according to the customer's request for shoe size recommendation after looking at the product, and analyzes pre-registered reviews based on the determined foot type to optimize the shoe size recommendation request for the customer's foot. You decide on a custom shoe size.

First, the review analysis unit 360 requests foot data from the product purchasing customer terminal 200 that has requested shoe size recommendation, and receives the foot data of the customer requesting the recommendation.

Here, the foot data of the customer requesting the recommendation may include two numerical elements of the customer's actual foot length and actual foot ball width.

After receiving the foot data, the analysis unit 360 extracts the foot length and foot ball width from the customer's foot data, and compares the value obtained by dividing the foot ball width by the foot length with the grade values of 8 groups to obtain the closest grade value. A group is determined, and the foot type of the corresponding customer is determined by the foot type group of the corresponding grade value.

Thereafter, the review analysis unit 360 selects review reviews registered for the customer's foot type among the review reviews managed by the review management unit 350, and provides actual foot length and recommended size information from the selected review reviews. The value obtained by subtracting the recommended size from the actual foot length is calculated for each user review.

Here, the recommended size is a product recommended for purchase by a buyer who has already purchased the shoe, a purchaser who has purchased the shoe from a shopping mall other than the corresponding shopping mall, or a buyer who has purchased the shoe from an offline shopping mall and tried it on, considering their foot length. is the shoe size of

The review analysis unit 360 first calculates the average value of values obtained by subtracting the recommended size from the actual foot length calculated for each user review (here, data values with a large difference from the average value may be removed from the average value calculation), and the recommendation The average value is added to the actual foot length of the customer who requested the shoe size recommendation to calculate the adaptive size, and the shoe size closest to the adaptive size is determined as the optimized and customized shoe size.

For example, if the recommendation requesting customer determined to belong to the 7th group (EE) is 260 mm in a state where the recommendation average value is derived as 8 in the 7th group (EE), it is calculated as 260 + 8 = 268 to obtain 268 The adaptation size of can be calculated. And the 270 shoe size closest to the 268 adaptable size will be determined as the customized shoe size.

The recommendation information providing unit 370 transmits the customized shoe size determined by the review analysis unit 360 to the product purchasing customer terminal 200 requesting shoe size recommendation. In this process, reviews classified by foot type of the customer who requested shoe size recommendation are provided together for reference in size determination.

In this process, the customer who is recommended for a shoe size can purchase the recommended shoe size and select the review that has the greatest influence on their shoe purchase decision, and the recommendation information providing unit 370 writes a review registered with the selected review. Separate reward points can be given to customers.

Now, with reference to FIG. 3 , the overall flow of the online shopping mall operating method according to an embodiment of the present invention will be described.

3 is a flowchart illustrating a method for operating an online shopping mall according to an embodiment of the present invention.

Referring to FIG. 3 , first, the product sales unit 330 of the operation server 300 operates the shopping mall by providing various product pages through which the connected customer terminal can inquire and purchase shoe products (S10).

Thereafter, the review registration unit 340 of the operation server 300 receives and registers reviews including customer foot data and evaluation information according to the user review registration request of the connected review user terminal 100 (S20). .

Thereafter, the operation server 300 groups, classifies, and manages the reviews received in step S20 by foot type (S40).

In step S40, at least two or more foot type groups are classified in the operation server 300 with a grade value obtained by gradually increasing the value obtained by dividing the width of the foot by the length of the foot. The review management unit 350 of the operation server 300 is a grouping operation for classifying reviews of various foot types by foot type, and extracts the foot length and foot width of the creator from the foot data included in the review, and the foot ball width. The value divided by the foot length is compared with the rating values of the 8 groups to determine the group with the closest rating value, and the reviews are classified and managed in the foot type group of the corresponding rating value.

Thereafter, the operation server 300 provides the product page provided by the product sales unit 330 to the product purchasing customer terminal 200 so that the customer can review the shoe product, and in this process, the product purchase customer for the shoe product. A shoe size recommendation request is received from the terminal 200 (S50).

Upon receiving the request for shoe size recommendation, the operating server 300 analyzes reviews registered as foot types matched with the customer's foot type to determine a customized shoe size optimized for the foot of the customer who requested the shoe size recommendation (S60). ).

In response to the customer's request for shoe size recommendation after looking at the product, the review analysis unit 360 of the operation server 300 first determines the customer's foot type, analyzes the user reviews pre-registered with the determined foot type, and returns the request for shoe size recommendation. It is to determine the custom shoe size that is optimized for a customer's foot.

In this process, first, the review analysis unit 360 of the operation server 300 requests foot data from the product purchase customer terminal 200 that has requested shoe size recommendation, and receives the foot data of the customer requesting the recommendation.

Here, the foot data of the customer requesting the recommendation may include two numerical elements of the customer's actual foot length and actual foot ball width.

After receiving the foot data, the post analysis unit 360 of the operating server 300 extracts the foot length and foot ball width from the customer's foot data, and compares the value obtained by dividing the foot ball width by the foot length with the grade values of 8 groups. A group with the closest grade value is determined, and the foot type of the corresponding customer is determined with the foot type group of the corresponding grade value.

Thereafter, the review analysis unit 360 of the operation server 300 selects reviews registered for the customer's foot type from among the review reviews managed by the review management unit 350, and selects actual footsteps from the selected reviews. This extracts recommended size information, and calculates a value obtained by subtracting the recommended size from the actual foot length for each user review.

Here, the recommended size is a product recommended for purchase by a buyer who has already purchased the shoe, a purchaser who has purchased the shoe from a shopping mall other than the corresponding shopping mall, or a buyer who has purchased the shoe from an offline shopping mall and tried it on, considering their foot length. is the shoe size of

The review analysis unit 360 of the operating server 300 first calculates the average value of values obtained by subtracting the recommended size from the actual foot length calculated for each review (here, data values with a large difference from the average value are removed from the average value calculation). ), this recommended average value is added to the actual foot length of the customer who requested the shoe size recommendation to calculate the adaptive size, and the shoe size closest to the adaptive size is determined as the optimized customized shoe size.

Thereafter, the recommendation information providing unit 370 of the operation server 300 transmits the customized shoe size determined by the review analysis unit 360 to the product purchasing customer terminal 200 requesting shoe size recommendation (S70). In this process, reviews classified by foot type of the customer who requested shoe size recommendation are provided together for reference in size determination.

In this process, the customer who is recommended for a shoe size can purchase the recommended shoe size and select the review that has the greatest influence on their shoe purchase decision, and the recommendation information providing unit 370 writes a review registered with the selected review. Separate reward points can be given to customers.

The present invention is a structure in which users can write reviews well and earn points whenever their reviews are recommended by other purchasing customers. In the case of popular products or popular sizes, reviews are secured as quickly as the limited number By disallowing the registration of reviews any more, it will be possible to induce review writers who want to accumulate points to register reviews for products with insufficient number of reviews.

Here, in order to impart the amount of points received each time a customer recommends a purchase fairly, regardless of the popularity of the product or size, the current status of purchases is analyzed for each product or size, and the most popular products or popular products with a large number of purchases are analyzed. In the case of size, since the number of recommendations is high, the point amount is set low. On the other hand, unpopular products or unpopular sizes with little purchase are recommended, so the point amount can be set relatively high.

Figure 4 is a flowchart for explaining in detail the user review registration process of step S20 according to an embodiment of the present invention.

First, the operation server 300 receives a user review registration request from the connected review writing user terminal 100 (S21).

Such reviews can be registered by previous buyers who have purchased the corresponding shoes in the corresponding shopping mall. In addition, a review can be registered by a buyer who purchased the corresponding shoes from a shopping mall other than the corresponding shopping mall or purchased the corresponding shoes from an offline shopping mall and tried them on.

The operation server 300 that has received the request for registration of user reviews inquires the cumulative status of user reviews of the corresponding shoe (S22).

In various subdivided shoe sizes, there may be a tendency for user reviews to be concentrated only in a specific range of shoe sizes with a large purchase base. To prevent this, the operating server 300 may allow only a certain number of reviews to be registered for each shoe size. Therefore, for shoe sizes whose reviews are actively registered due to a large purchasing group, reviews are mainly registered by buyers who have purchased shoes of that size in the shopping mall. Regarding ',' not only existing buyers but also actual buyers who have purchased the corresponding shoes from a shopping mall other than the corresponding shopping mall or bought the corresponding shoes from an offline shopping mall and tried them on can register a review.

The operation server 300, which has inquired about the cumulative status of reviews for the shoe, transmits the information obtained by analyzing the cumulative status of reviews for each size of the shoe to the user terminal 100 for writing reviews, and receives product information for writing reviews. (S23).

At this time, each shoe size has a limit on the number of registered user reviews, and the review writing user terminal 100 will be able to select only shoe sizes that do not fill the limit on the number of registered user reviews as the size for writing reviews.

Here, in the above-described embodiment, it has been explained that a size list of shoe products that do not meet the limit on the number of registered reviews is displayed and size selection information for writing reviews is received. You can also choose a shoe product to write a review on. In this way, various people who have checked the list of shoe products including the cumulative status will be able to visit the offline store, try on the shoe products, and write reviews.

There is a limit on the number of reviews that can be registered for each product or size within the product, and when showing a product or size list with insufficient number of reviews to customers, the necessary number of reviews for automated recommendation size analysis by foot type There is an important reason for the efficiency of database creation, and furthermore, there is a reason for actively inducing the registration of user reviews for products with insufficient number of user reviews.

Thereafter, the operation server 300 checks the purchase record of the account of the requester for review registration and determines whether the user terminal 100 writing a review is a previous purchaser of the shoes in the shopping mall (S24).

As a result of the determination in step S24, if the user terminal 100 writing a review is a previous purchaser who has purchased the corresponding shoes in the corresponding shopping mall, the operation server 300 checks the purchase record of the account of the requester for review registration and writes a review as a previous purchaser. It is confirmed that it is possible (S25).

Thereafter, the operation server 300 receives the foot data of the previous purchaser as a user review (S26). The foot data includes two numerical elements of the actual foot length and the actual foot ball width of the purchaser, and may also include information on the size of shoes worn by the user.

In addition, the operation server 300 receives evaluation information of previous purchasers as user reviews (S27). The evaluation information may include a wearing satisfaction index and recommended size information related to shoes of the previous purchaser, and detailed wearing review information containing the experience of using the shoes.

On the other hand, as a result of the determination in step S24, the user terminal 100 writing a review is not a previous purchaser of the shoes at the shopping mall, purchases the shoes at a shopping mall other than the shopping mall, or purchases the shoes at an offline shopping mall and wears them. In the case of the actual purchaser, the operation server 300 requests and receives the failure authentication information from the late registration requester (S28).

Here, the wearing certification information includes product name and size information, and wearing image or image information about shoes. In other words, the information of actually wearing the shoes and taking a photo or video is registered as actual wear authentication information, and this actual wear authentication information is also used as user authentication information for writing reviews, but is provided to customers who want to purchase the shoes It will also be used as an aid to purchasing decisions.

Thereafter, the operation server 300 receives the foot data of the actual purchaser as a user review (S29). The foot data includes two numerical elements of the actual foot length and the actual foot ball width of the wearer, and may also include information on the shoe size worn by the wearer.

In addition, the operation server 300 receives the evaluation information of the actual purchaser as a review (S30). The evaluation information may include a wear satisfaction index and recommended size information related to the shoe of the shoe purchaser and detailed wear review information containing the experience of using the corresponding shoe.

The user reviews including the foot data and evaluation information of the previously collected or actual purchasers are registered by the review register 340 (S31).

As described above, the optimal embodiment has been disclosed in the drawings and specifications. Although specific terms have been used herein, they are only used for the purpose of describing the present invention and are not used to limit the scope of the present invention described in the claims. Therefore, those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

100: Review writing user terminal 200: Product purchase customer terminal
300: operation server 310: control unit
320: communication department 330: product sales department
340: late registration unit 350: late management unit
360: late analysis unit 370: DB unit

Claims (16)

An operation server that provides a product page, collects and analyzes customer reviews including customer foot data from connected customers, and provides customized shoe size recommendation information optimized for the feet of customers who wish to purchase shoes based on this;
A user terminal writing a review that accesses the operation server and registers a review including his or her foot data; and
a product purchase customer terminal that connects to the operation server and receives shoe size recommendation information tailored to the user's foot data when purchasing shoes; An online shopping mall operating system using reviews, comprising:
According to claim 1,
The operating server,
a communication unit for accessing an information communication network;
a product sales unit providing a product page through which a customer terminal connected through the communication unit can inquire and purchase shoe products;
a review registration unit for receiving and registering reviews including customer foot data and evaluation information in response to a user review registration request from a review user terminal connected through the communication unit;
a review management unit that classifies and manages reviews received by the review registration unit by foot type;
According to the customer's request for shoe size recommendation, a review analysis unit that analyzes reviews registered as a foot type matching the customer's foot type and determines a customized shoe size optimized for the customer's foot who requested the shoe size recommendation; and
a recommendation information providing unit that transmits the customized shoe size determined by the review analysis unit and user reviews classified according to the customer's foot type to a terminal of a customer purchasing a product who has requested a shoe size recommendation; An online shopping mall operating system using reviews, comprising:
According to claim 2,
Characterized in that the user terminal writing a review is a terminal of a buyer who has purchased shoes at the corresponding shopping mall, or a terminal of a purchaser who has purchased the corresponding shoes at a shopping mall other than the corresponding shopping mall or purchased and worn the corresponding shoes at an offline shopping mall Online shopping mall management system using reviews.
According to any one of claims 1 to 3,
The online shopping mall operating system using reviews, characterized in that the customer's foot data included in the reviews includes two numerical elements of the actual foot length and the actual foot width of the existing purchaser or the actual purchaser.
According to claim 4,
The online shopping mall operating system using user reviews, characterized in that the customer's foot data includes the usual shoe size information of the existing purchaser or the actual purchaser.
According to claim 2 or 3,
The evaluation information included in the user reviews is an online shopping mall using user reviews, characterized in that it includes the actual wear satisfaction index and recommended size information related to the shoes of the previous purchaser or the actual purchaser, and the actual wear review information containing the experience of using the corresponding shoes. operating system.
According to claim 4,
The late management department,
The foot length and width of the foot ball of the author are extracted from the foot data included in the reviews, and the foot ball width divided by the foot length is compared with the grade value of the foot type group to determine the foot type group with the closest grade value. It classifies and manages reviews by foot type group of rating value,
The online shopping mall operating system using user reviews, characterized in that at least two foot type groups having a grade value obtained by dividing the width of the foot by the length of the foot are gradually increased in the operation server.
According to claim 7,
The latter analysis unit,
Requests foot data from the terminal of a customer purchasing a product that has requested a shoe size recommendation, receives foot data including the actual foot length and actual foot ball width of the customer requesting the recommendation, extracts the foot length and foot ball width from the customer's foot data, , The value obtained by dividing the width of the foot ball by the foot length is compared with the grade value of the foot type group to determine the group with the closest grade value, and the foot type group of the corresponding grade value determines the customer's foot type;
Among the managed reviews, reviews registered for the customer's foot type are selected, actual foot length and recommended size information are extracted from the selected reviews, and the value obtained by subtracting the recommended size from the actual foot length is calculated for each review. and calculates the average value of the values minus the recommended size from the actual foot length calculated for each review, and calculates the adaptive size by adding this recommended average value to the actual foot length of the customer who requested the shoe size recommendation, and calculates the adaptive size and An online shopping mall management system using user reviews, characterized in that the closest shoe size is determined as an optimized and customized shoe size.
(a) receiving and registering user reviews including customer foot data and evaluation information according to a user review registration request of a user terminal that writes reviews to which an operation server is connected;
(b) grouping, classifying, and managing reviews received by the operation server by foot type;
(c) receiving, by the operation server, a shoe size recommendation request from a product purchasing customer terminal;
(d) determining, by the operation server, a customized shoe size optimized for the foot of the customer who has requested a shoe size recommendation by analyzing reviews registered as a foot type matched with the customer's foot type; and
(e) transmitting, by the operating server, the determined customized shoe size and user reviews classified according to the customer's foot type to a customer terminal who has purchased a product requesting a shoe size recommendation; A method for operating an online shopping mall using reviews, comprising:
According to claim 9,
Characterized in that the user terminal writing a review is a terminal of a buyer who has purchased shoes at the corresponding shopping mall, or a terminal of a purchaser who has purchased the corresponding shoes at a shopping mall other than the corresponding shopping mall or purchased and worn the corresponding shoes at an offline shopping mall How to operate an online shopping mall using reviews.
The method of claim 9 or 10,
The online shopping mall operation method using reviews, characterized in that the customer's foot data included in the reviews includes two numerical elements of the actual foot length and the actual foot width of the existing purchaser or the actual purchaser.
According to claim 11,
The online shopping mall operating method using user reviews, characterized in that the customer's foot data includes the usual shoe size information of the existing purchaser or the actual purchaser.
According to claim 9,
The evaluation information included in the user reviews is an online shopping mall using user reviews, characterized in that it includes the actual wear satisfaction index and recommended size information related to the shoes of the previous purchaser or the actual purchaser, and the actual wear review information containing the experience of using the corresponding shoes. operating method.
According to claim 9,
In step (a),
Receiving a user review registration request from a review writing user terminal connected to the operation server;
Receiving size selection information to write a review by the operating server inquiring about the cumulative status of reviews for the shoe product, and transmitting the cumulative status of reviews by size of the corresponding shoe to a user terminal writing a review;
checking the purchase record of the account of the requester for review registration by the operation server and determining whether the user terminal writing a review is a previous purchaser of the shoes in the corresponding shopping mall;
If the user terminal writing a review is a previous purchaser who has purchased the corresponding shoes in the corresponding shopping mall, the operating server provides the customer's foot data including the actual foot length, actual foot width and usual shoe size of the previous purchaser, actual fit satisfaction index, and recommended size. and receiving evaluation information including actual wear reviews as user reviews;
If the user terminal writing a review is not a previous buyer who has purchased the shoes in the shopping mall, but has purchased the shoes in a shopping mall other than the corresponding shopping mall, or has purchased the shoes in an offline shopping mall and tried them on, the operation server sends the actual wearing image. Or, using wear certification information including wear video information, customer foot data including actual foot length, actual foot width, and usual shoe size of previous purchasers, and evaluation information including wear satisfaction index, recommended size, and wear reviews receiving as late; and
Registering, by the operating server, reviews including foot data and evaluation information of the collected purchasers or actual purchasers; A method for operating an online shopping mall using reviews, comprising:
According to claim 11,
In step (b),
The operating server extracts the foot length and width of the foot ball of the author from the foot data included in the review, and compares the value obtained by dividing the ball width by the foot length with the grade value of the foot type group, and selects the foot type group with the closest grade value. and classifies and manages the reviews according to the foot type group of the corresponding rating value,
The online shopping mall operating method using user reviews, characterized in that at least two or more foot type groups having a grade value obtained by dividing the width of the foot by the length of the foot are gradually increased in the operation server.
According to claim 15,
In step (d),
The operation server requests foot data from the product purchasing customer terminal requesting shoe size recommendation, and receives foot data including the actual foot length and actual foot ball width of the customer requesting the recommendation, and the foot length and foot ball from the customer's foot data. Extract the width, compare the value obtained by dividing the width of the foot ball by the foot length with the grade value of the foot type group, determine the group with the closest grade value, determine the customer's foot type with the foot type group of the grade value,
Among the reviews managed by the operating server, reviews registered for the customer's foot type are selected, actual foot length and recommended size information are extracted from the selected reviews, and a value obtained by subtracting the recommended size from the actual foot length is calculated for each review, the average value of the values obtained by subtracting the recommended size from the actual foot length calculated for each review is first calculated, and the average recommended value is added to the actual foot length of the customer who requested the shoe size recommendation to calculate the adaptive size, A method of operating an online shopping mall using user reviews, characterized in that the shoe size closest to the adaptive size is determined as an optimized customized shoe size.

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