KR102282351B1 - Blockchain-based goods promotion methods and systems for shopping mall and therefore - Google Patents

Abstract

A product promotion method and system are disclosed in a blockchain-based shopping mall. A product promotion method according to an embodiment of the present invention includes: collecting behavior pattern data including product information clicked by a user in a block chain-based shopping mall, purchase information, and community activity information; determining at least one product promotion based on the collected behavior pattern data; and exposing the determined product promotion as a customized promotion for the user, wherein the collecting includes a main keyword for an article posted in the community, a keyword for a comment posted by the user in the community, and a used keyword in the community. Collects the community activity information by using product information sold with, information on products purchased used in the community, and information on the user's subscribed community, and performs learning using the collected behavior pattern data, The determining may include determining a product promotion corresponding to the user's learning result from among preset product promotions based on a learning result of the collected behavior pattern data.

Description

{Blockchain-based goods promotion methods and systems for shopping mall and therefore}

The present invention relates to a technology for promoting a product in a blockchain-based shopping mall, and more particularly, a method and system for promoting a user-customized product through behavior pattern data analysis including a user's community activity in a block-chain-based shopping mall is about

As the digital industry develops and the Internet infrastructure expands, various studies on electronic commerce for selling and purchasing products using the Internet or PC communication have been conducted. For example, the size of the e-commerce market in 2015 was estimated at 1.548 trillion won worldwide, and it is showing an annual growth rate of about 15% until 2018.

In particular, in the open market, a type of e-commerce, the demand and application fields increase exponentially due to the high accessibility of buyers and sellers, as well as the ability to provide products with high cost-effectiveness by omitting an intermediate distribution margin. E-commerce using various open markets such as 'Amazon', 'Alibaba', and 'Gmarket' is widely used around the world.

Embodiments of the present invention provide a method and system for promoting a user-customized product through behavior pattern data analysis including a user's community activity in a blockchain-based shopping mall.

Embodiments of the present invention provide a method and system for quickly providing a product of interest to a user in a shopping mall by providing a user-customized product promotion in a blockchain-based shopping mall.

A product promotion method according to an embodiment of the present invention includes: collecting behavior pattern data including product information clicked by a user in a block chain-based shopping mall, purchase information, and community activity information; determining at least one product promotion based on the collected behavior pattern data; and exposing the determined product promotion as the user's customized promotion.

In the collecting step, main keywords for articles posted to the community, keywords for comments posted by the user in the community, product information sold second-hand in the community, product information purchased used in the community, and user information Collecting the community activity information using the information on the subscribed community, performing learning using the collected behavior pattern data, and the determining step is a product preset based on a learning result of the collected behavior pattern data Among the promotions, a product promotion corresponding to the user's learning result may be determined.

The determining may include determining a product promotion based on the collected behavior pattern data, information on each of a plurality of preset product promotions, information of a seller corresponding to each of the plurality of product promotions, and information of the user. there is.

In the exposing step, the user's gender and interest product promotions for the product of interest in the corresponding age group determined through big data-based analysis, the best product promotions for the best product set in the user's access time zone, and the determined product promotion It can be exposed through the user's customized promotion.

The determining step is to search for product promotions corresponding to each of the behavior pattern data, calculate the priority of each of the searched product promotions using a preset weight for each of the behavior pattern data, and the calculated priority Determining a preset number of product promotions based on , and the exposing may include determining an exposure ranking of the determined product promotion according to the calculated priority, and exposing the determined product promotion based on the determined exposure ranking. can

In the determining step, when a search keyword is input from the user, a product promotion corresponding to the input search keyword is determined as an additional product promotion, and the exposing includes the determined product promotion and the additional product promotion of the user. It can be exposed through customized promotions.

A product promotion system according to an embodiment of the present invention includes: a collection unit for collecting behavior pattern data including product information clicked by a user in a block chain-based shopping mall, purchase information, and community activity information; a determining unit that determines at least one product promotion based on the collected behavior pattern data; and an exposure unit for exposing the determined product promotion as the user's customized promotion.

The collection unit includes main keywords for posts posted to the community, keywords for comments posted by the user in the community, information on products sold in the community used, information on products purchased used in the community, and information on the user's subscription Collecting the community activity information by using information about the community, performing learning using the collected behavior pattern data, and the determining unit is selected from among the product promotions preset based on the learning result of the collected behavior pattern data. It is possible to determine product promotion corresponding to the user's learning result.

The determination unit may determine a product promotion based on the collected behavior pattern data, information on each of a plurality of preset product promotions, information on a seller corresponding to each of the plurality of product promotions, and information on the user.

The exposure unit provides the user's gender and interest product promotions for the product of interest in the corresponding age group determined through big data-based analysis, the best product promotions for the best product set in the user's access time zone, and the determined product promotion to the user can be exposed through customized promotions.

The determination unit searches for product promotions corresponding to each of the behavior pattern data, calculates the priority of each of the searched product promotions using a preset weight for each of the behavior pattern data, and based on the calculated priority to determine a preset number of product promotions, the exposure unit may determine an exposure priority of the determined product promotion according to the calculated priority, and expose the determined product promotion based on the determined exposure priority.

When a search keyword is input from the user, the determination unit determines a product promotion corresponding to the input search keyword as an additional product promotion, and the exposure unit exposes the determined product promotion and the additional product promotion as a customized promotion of the user. can do it

According to embodiments of the present invention, a user-customized product may be promoted through behavior pattern data analysis including the user's community activity in a blockchain-based shopping mall.

According to embodiments of the present invention, user's community activity information, for example, main keywords of posts posted to the community, main keywords for comments, product information sold second-hand in the community, product information purchased used in the community, By analyzing behavior pattern data using information about the community the user has joined, the purchase history of the user's product, and the product information clicked by the user, the community activity history is reflected, and through this, the product promotion that the user wants is provided accurately and quickly can do.

1 shows an exemplary diagram of a network environment.
FIG. 2 is a block diagram of an embodiment for explaining the internal configuration of the electronic device and the server shown in FIG. 1 .
3 is a flowchart illustrating a product promotion method in a blockchain-based shopping mall according to an embodiment of the present invention.
4 shows an exemplary diagram for explaining a method according to an embodiment of the present invention.
5 shows the configuration of a product promotion system in a blockchain-based shopping mall according to an embodiment of the present invention.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the art to which the present invention pertains It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of describing the embodiments, and is not intended to limit the present invention. As used herein, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, “comprises” and/or “comprising” refers to a referenced component, step, operation and/or element of one or more other components, steps, operations and/or elements. The presence or addition is not excluded.

Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used with the meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless specifically defined explicitly.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. The same reference numerals are used for the same components in the drawings, and repeated descriptions of the same components are omitted.

Embodiments of the present invention make it a gist of promoting a user-customized product through behavior pattern data analysis including a user's community activity in a blockchain-based shopping mall.

1 shows an exemplary diagram of a network environment. The network environment of FIG. 1 shows an example including a plurality of electronic devices 110 , 120 , 130 , 140 , a plurality of servers 150 , 160 , and a network 170 . FIG. 1 is an example for explaining the invention, and the number of electronic devices or the number of servers is not limited as in FIG. 1 .

The plurality of electronic devices 110 , 120 , 130 , and 140 may be mobile or fixed terminals implemented as computer devices. Therefore, hereinafter, an electronic device means a terminal. Examples of the plurality of electronic devices 110 , 120 , 130 , 140 include a smart phone, a mobile phone, a tablet PC, a navigation device, a computer, a laptop computer, a digital broadcasting terminal, a PDA (Personal Digital Assistants), a PMP (Personal Digital Assistants) Portable Multimedia Player), etc. For example, the first electronic device 110 may communicate with other electronic devices 120 , 130 , 140 and/or the servers 150 and 160 through the network 170 using a wireless or wired communication method.

The communication method is not limited, and not only a communication method using a communication network (eg, a mobile communication network, a wired Internet, a wireless Internet, a broadcasting network) that the network 170 may include, but also short-range wireless communication between devices may be included. For example, the network 170 may include a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), and a broadband network (BBN). , the Internet, and the like. In addition, the network 170 may include any one or more of a network topology including a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree, or a hierarchical network, etc. not limited

Each of the servers 150 and 160 communicates with the plurality of electronic devices 110 , 120 , 130 , 140 and the network 170 through a computer device or a plurality of computers that provides commands, codes, files, contents, services, etc. It can be implemented in devices.

For example, the server 160 may provide a file for installing an application to the first electronic device 110 connected through the network 170 . In this case, the first electronic device 110 may install an application using a file provided from the server 160 . In addition, the server 150 is provided by accessing the server 150 under the control of an operating system (OS) or at least one program (eg, a browser or the installed application) included in the first electronic device 110 . services or contents can be provided. For example, when the first electronic device 110 transmits a service request message to the server 150 through the network 170 under the control of the application, the server 150 transmits a code corresponding to the service request message to the first The content may be transmitted to the electronic device 110 , and the first electronic device 110 may provide content to the user by composing and displaying a screen according to the code according to the control of the application.

FIG. 2 is a block diagram of an embodiment for explaining the internal configuration of the electronic device and the server shown in FIG. 1 . In FIG. 2 , the internal configuration of the first electronic device 110 as an example of one electronic device and the server 150 as an example of one server will be described. Other electronic devices 120 , 130 , 140 or the server 160 may also have the same or similar internal configuration.

The first electronic device 110 and the server 150 may include memories 211 and 221 , processors 212 and 222 , communication modules 213 and 223 , and input/output interfaces 214 and 224 . The memories 211 and 221 are computer-readable recording media and may include random access memory (RAM), read only memory (ROM), and permanent mass storage devices such as disk drives. Also, an operating system or at least one program code (eg, a code for an application installed and driven in the first electronic device 110 ) may be stored in the memories 211 and 221 . These software components may be loaded from a computer-readable recording medium separate from the memories 211 and 221 . The separate computer-readable recording medium may include a computer-readable recording medium such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card. In another embodiment, the software components may be loaded into the memories 211 and 221 through the communication modules 213 and 223 instead of a computer-readable recording medium. For example, the at least one program is a program installed by files provided through the network 170 by a file distribution system (eg, the above-described server 160 ) for distributing installation files of developers or applications (eg, a program installed). may be loaded into the memories 211 and 221 based on the above-described application).

The processors 212 and 222 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations. The instructions may be provided to the processors 212 and 222 by the memories 211 and 221 or the communication modules 213 and 223 . For example, the processors 212 and 222 may be configured to execute received instructions according to program codes stored in a recording device such as the memories 211 and 221 .

The communication modules 213 and 223 may provide a function for the first electronic device 110 and the server 150 to communicate with each other through the network 170 and other electronic devices (eg, the second electronic device 120 ). )) or another server (eg, server 160 ). For example, a request (eg, a search request) generated by the processor 212 of the first electronic device 110 according to a program code stored in a recording device such as the memory 211 is transmitted to a network according to the control of the communication module 213 . It may be transmitted to the server 150 through 170 . Conversely, a control signal, command, content, file, etc. provided under the control of the processor 222 of the server 150 passes through the communication module 223 and the network 170 to the communication module of the first electronic device 110 . It may be received by the first electronic device 110 through 213 . For example, a control signal or command of the server 150 received through the communication module 213 may be transmitted to the processor 212 or the memory 211 , and contents or files may be transmitted to the first electronic device 110 . may be stored as a storage medium that may further include

The input/output interface 214 may be a means for interfacing with the input/output device 215 . For example, the input device may include a device such as a keyboard or mouse, and the output device may include a device such as a display for displaying a communication session of an application. As another example, the input/output interface 214 may be a means for an interface with a device in which functions for input and output are integrated into one, such as a touch screen. As a more specific example, the processor 212 of the first electronic device 110 uses data provided by the server 150 or the second electronic device 120 in processing the command of the computer program loaded in the memory 211 . A service screen or content configured by doing this may be displayed on the display through the input/output interface 214 . The input/output interface 224 can also output information configured by using the data provided by the server 150 when the processor 222 of the server 150 processes the command of the computer program loaded in the memory 221 likewise. there is.

Also, in other embodiments, the first electronic device 110 and the server 150 may include more components than those of FIG. 2 . However, there is no need to clearly show most of the prior art components. For example, the first electronic device 110 is implemented to include at least a portion of the above-described input/output device 215 or other such as a transceiver, a global positioning system (GPS) module, a camera, various sensors, and a database. It may further include components. As a more specific example, when the first electronic device 110 is a smart phone, an acceleration sensor or a gyro sensor, a camera, various physical buttons, a button using a touch panel, an input/output port, and vibration It can be seen that various components such as a vibrator may be implemented to be further included in the first electronic device 110 .

Furthermore, the seller (or the seller's device) provides information on products sold, for example, luxury goods, high-end brand products (eg, fashion clothes, accessories, miscellaneous goods, bags, shoes, etc.), food, etc. Registers the certificate for the sold product, such as RFID information, NFC information, product serial information, and anti-counterfeiting holograms (eg, holograms applied to banknotes) to the service providing server based on blockchain. .

Furthermore, the seller can register the product promotion for the product to be promoted on the service providing server based on the block chain, and when registering the product promotion, the product information and information about the seller can be registered together.

Furthermore, the authentication information for the seller is stored in the server in connection with the certificate for the sale products sold by the seller, that is, the certificate for the sale product registered based on the block chain, so that the seller’s authentication information and the blockchain You can connect and manage the certificate of the product for sale registered based on it, and through this, you can manage various information such as verification of the seller’s sale product, transaction history, and second-hand transaction or resale of the sold product on the server, Buyer or Seller may provide such information if desired.

When a purchaser or a user subscribes to the corresponding shopping mall, the purchaser's authentication information may be registered in the server, and the product sold by the seller may be purchased.

In this case, the purchaser may request activation of the purchased product through the community of the shopping mall, and upon request for activation, at least one photo of the purchased product and information on the purchased product may be registered in the community. .

Of course, the request for authenticity registered by the purchaser can verify whether the product is genuine or not based on the registered certificate based on the blockchain for the product with the seller or professional seller who sold the product. can be done on the server.

The service providing server is a server that performs the service method of the present invention, that is, the product promotion method, and provides user-customized product promotion for each of the connected users from among the product promotions registered in advance in the blockchain-based shopping mall.

Here, the service providing server may search or determine user-customized product promotions based on the user's behavior pattern data collected until the user accesses the corresponding shopping mall, and may expose the determined product promotions to the user's screen.

Specifically, the service providing server provides key keywords for posts posted by users to the community, keywords for comments posted by users in the community, information on products sold in the community, information on products purchased used in the community, and information on the user's registered information. Collects user's community activity information using community information, collects user's behavior pattern data based on the collected community activity information, the user's purchase history, and the product information clicked by the user By performing the learning using the pattern data, it is possible to determine the user-customized product promotion from among the product promotions registered in advance based on the learning result of the collected behavior pattern data.

In this case, the service providing server may determine the user-customized product promotion by reflecting product information in (or included in) the user's shopping cart and payment history information by the user. That is, according to the present invention, user-customized product promotion can be determined by including product information in a shopping cart with a high probability of purchase by the user and purchase history information with a high probability of repurchasing. Of course, in addition to this, the present invention may reflect various information related to the user in order to promote the information on the product that the user is likely to purchase.

Here, the service providing server may be a shopping mall or a mediation server performing the technology of the present invention, and may be a single server or distributed servers through the shopping mall and the mediation server.

Furthermore, when a search keyword for a product to be searched is input in a state where the purchaser customized product promotion determined while the purchaser is connected to the server is exposed, the service providing server additionally performs product promotion corresponding to the entered search keyword. It can be reflected to expose user-customized product promotions.

In this case, when the product promotion is exposed to the user, the service providing server may preferentially expose the product promotion corresponding to the community activity information, or may provide a notification about the product.

In addition, the service providing server may preferentially expose product promotions of interest to products of interest in the user's gender and age group and best product promotions with a high number of hits set at the time of access through big data-based analysis. Here, the service providing server may promote a product promotion corresponding to the user's behavior pattern data among interest product promotions and best product promotions as a user-customized product.

Furthermore, the service providing server can register and issue certificates for sale products using block chain, and provide block chain-based distribution history recording and inquiry functions, and reward payment example through block chain-based token issuance For example, the first reward payment to the buyer or the second reward payment to the seller can be performed, and the KRW, bankbook, card, point, coupon discount, Kakao Pay, and cryptocurrency comprehensive payment functions for product sales can be provided. It is also possible to manage the entire product sales history from the point of sale of the product through the smart contract to purchase and transfer of ownership.

In addition, the service providing server can provide consumer reward service for products sold using block chain, block chain cryptocurrency staking function, exchange-type cryptocurrency wallet implementation and user-to-user transmission function, and block chain-based counterfeiting. It can also provide a function to upload and search product seller and counterfeit brand information.

Furthermore, the service providing server provides an e-commerce (e-commerce) function, keyword, category, detailed filter search function, price negotiation function through seller and buyer chat window, product delivery history inquiry function, convenient product registration function, offline store (Luxury direct import and parallel import sales shop) Support service function, buyer location-based offline sales store promotion function, seller-only admin page function can also be provided, and community function is provided to register and answer questions about product authenticity. Users can freely upload and write photos through community ownership such as payment of base reward points, luxury goods, fashion, trends, and free bulletin boards, and through this, block chain-based reward points can be obtained. Furthermore, when reporting counterfeit products through community operation, blockchain-based reward points may also pay

This service providing server maximizes convenience by automatically applying blockchain convergence payment services, such as coupon payment, point payment, KRW payment, bankbook payment, Kakao Pay, blockchain token payment, and user-owned coupons, points, and tokens Blockchain reward and authentication service, for example, by writing a reward contract with a smart contract when registering a seller product, forcing rewards or storing all steps from product registration to sales distribution consumer purchase confirmation in the blockchain or consumer purchase By performing the function of issuing a block chain certificate to the product after confirmation, it provides a function to automatically register difficult products through the block chain certificate when reselling the purchased product as a used product in the future. can enhance the reliability and sales rate of

In addition, the service providing server operates a premium zone in the corresponding shopping mall to maximize the sales of the seller, and when the user accesses the premium zone, the product promotion of the seller registered in the premium zone can be exposed. Rather, it is possible to determine the priority in consideration of the seller's rating, reliability, advertising cost, etc., and then expose it according to the priority. Of course, the service providing server may expose the premium product promotion in a separate premium space for the premium product promotion independently of the user's behavior pattern data.

In addition, the service providing server is a community service at the level of Cobak using blockchain token economics, for example, it is possible to check the authenticity of the product through the community (for example, both the author and the replyer activate the community through point rewards) and It is possible to provide community services such as fashion information and trend registration, such as expanding to diesel enthusiasts in the high fashion world (for example, it is possible to promote product sales in the platform by increasing user usage time in the platform).

Furthermore, in the service providing server, various products, such as fashion sensitive to fashion, food requiring freshness, etc., can be traded on the server, and such product information can be registered, stored, and managed together with seller information, By providing an API key value suitable for the system of a mall that sells products, even if the product information registered for each customer company is different, different information can be freely customized using the corresponding key value.

In addition, the service providing server may provide a customized service function to the buyer from the point of view of the buyer as well as the seller. For example, the service providing server may provide a buyer-customized advertisement or buyer-customized product information based on the buyer's purchase history, resale history, purchase tendency, and buyer information (gender, age, etc.).

The technology according to the present invention will be described with reference to FIGS. 3 and 4 as follows.

3 is a flowchart illustrating a product promotion method in a block chain-based shopping mall according to an embodiment of the present invention, and shows an operation flowchart in the above-described service providing server.

Referring to FIG. 3 , the product promotion method according to an embodiment of the present invention collects behavior pattern data including product information, purchase information, and community activity information clicked by each user in a block chain-based shopping mall (S310).

Here, in step S310, main keywords for posts posted to the community, keywords for comments posted by users in the community, product information sold in the community used, product information purchased in the community used, and information about the user's subscribed community can be used to collect user's community activity information, and learning can be performed using the collected and analyzed user's behavior pattern data.

Further, in step S310, in collecting behavior pattern data, the priority of the data may be determined, for example, by determining the community activity information as the highest priority, the user's behavior pattern data analysis using the community activity information as the main data can be done Of course, in step S310, a main keyword for a product of interest of the user, for example, a main brand, a product name, and a main category (bag, shoes, etc.) may be analyzed through the number of keywords for each data.

When the user's behavior pattern data is collected by step S310, product promotions corresponding to the user's behavior pattern data are determined from among product promotions registered in advance based on the collected behavior pattern data (S320).

Here, in step S320, when the user's behavior pattern data collected in step S310 is learned, a product promotion corresponding to the user's learning result from among product promotions registered in advance based on the learning result on the behavior pattern data is promoted to a user-customized product can be decided with In this case, the product promotion used in the present invention may include all of a banner advertisement for a product, an order for arranging products according to a product search result, and a push advertisement for the product.

Furthermore, in step S320, when a search keyword is input from the user, product promotions corresponding to the input search keyword may be searched, and the searched product promotions and the product promotions determined in step S310 may be determined as user-customized product promotions. Of course, in this case, the exposure priority of each of the product promotions determined may be determined through a separate exposure algorithm, and when a search keyword is input, the exposure priority of the product promotion searched by the search keyword is set high, and in step S320 The exposure ranking of the product promotions determined by the user may be set low, and when there is the same product promotion among the searched product promotions and the product promotions determined in step S320, the corresponding product promotion may be set as the highest exposure ranking.

Further, in step S320, the user's behavior pattern data, information on each of a plurality of pre-registered product promotions, and information of the seller corresponding to each of the plurality of product promotions (eg, main selling products, seller ratings, sellers) Reliability, etc.) and user information (eg, a product of major interest, age, gender, brand of interest, etc.) may determine product promotion.

Here, step S320 searches for product promotions corresponding to each of the behavior pattern data, calculates the priority of each of the product promotions retrieved using a preset weight for each behavior pattern data, and based on the calculated priority in advance The set number of product promotions may be determined as user-customized product promotions.

Further, in step S320, in the user's purchase history, the promotion of similar products of the same brand or product promotion of similar brands is determined as the product promotion having priority exposure, or the lowest selling price among similar product promotions of the same brand or product promotions of similar brands. The product promotion may be determined as a product promotion having a priority exposure priority. Of course, in step S320, a notification may be provided to the user for product promotion having a priority exposure priority, and various methods such as a pop-up may be used as a method of providing the notification.

In addition, in step S320, the product information included in (or contained in) the user's shopping cart and the user's payment history information may be reflected to determine a user-customized product promotion. That is, in step S320, product information included in a shopping cart with a high probability of actual purchase by the user and purchase history information with a high probability of repurchasing may be included to determine a user-customized product promotion.

When the user-customized product promotion is determined by step S320, the determined product promotion is exposed on the user's screen (S330).

Here, in step S330, a product promotion determined based on a preset product promotion exposure algorithm may be exposed on the user's screen, and the exposure method includes a push exposure method, a sequential exposure method on the screen according to exposure priority, etc. Various methods are available.

Furthermore, in step S330, not only product promotions determined in step S320, but also product promotions of interest in products of interest in the user's gender and age group determined through big data-based analysis, and best product promotions for the best products set in the user's access time zone They can also be displayed on the user's screen.

At this time, step S330 calculates the exposure ranking score for each of the product promotions determined in step S320, and product promotions based on the exposure ranking score for each of the product promotions of interest and the exposure ranking score for each of the best product promotions Each can be exposed on the user screen. Here, the product promotions determined in step S320 may calculate an exposure ranking score by applying a high weight to the product promotion corresponding to the community activity information, and apply a low weight to the product promotion corresponding to the clicked product information to rank the exposure. The score can be calculated, and the best product promotions can calculate the exposure ranking score using the number of purchases and clicks, and since the product of interest promotions are products of interest to users of similar age groups, by giving a preset intermediate weight, An impression rank score can also be calculated. Of course, such a calculation method is not limited to the above-described method, and the method may be changed according to circumstances. In addition, in step S320, a predetermined weight is applied to expose products without the number of clicks or purchases as product promotions, thereby preventing the corresponding product promotion from being omitted.

In addition, in step S330, not only product promotion for the user but also product promotion registered by a seller of the highest grade may be exposed with the highest priority in a space set as a premium exposure space.

As such, the method according to an embodiment of the present invention can promote a user-customized product through behavior pattern data analysis including a user's community activity in a block chain-based shopping mall, and not only product promotion corresponding to the user's behavior pattern data Instead, product promotions set in advance in consideration of user information, for example, gender, age, etc., may be exposed in the corresponding service, and promotions for the best products set at the time of access may also be exposed.

In addition, the method according to an embodiment of the present invention provides information on the user's community activity, for example, the main keywords of posts posted to the community, the main keywords for comments, information on products sold second-hand in the community, and products purchased second-hand in the community. By analyzing behavior pattern data using information, information about the community the user has joined, the user's product purchase history, and the product information clicked by the user, the community activity history is reflected, and through this, the product promotion desired by the user is accurately and accurately executed. can be delivered quickly.

In addition, the method according to an embodiment of the present invention may promote a user-customized product by reflecting not only the user's behavior pattern data but also the search keyword input by the user.

The present invention is a technology that provides a user-customized product promotion to a user in a block chain-based community-type online shopping mall that can safely transact between a seller and a buyer. The method according to an embodiment of the present invention includes an authentication procedure for a seller and a consumer By establishing a rating system according to the evaluation, when user-customized product promotions are exposed, the products of sellers with high ratings can be exposed relatively high, and consumers can choose the products they want by thinking of the products promoted in the upper ranks as products that can be purchased with confidence. It can also be purchased, and sellers can enjoy the promotional effect through rating increase.

In addition, the present invention has a knowledge community that can share luxury information, so that consumers can easily and quickly share various information such as verifying the authenticity of the product they purchase, the price of the product they want to obtain, and where to purchase it. there is. Here, the community can be provided in a form that both sellers and consumers can participate in, and by having a point reward system to encourage healthy activities, the risk of counterfeit transactions can be fundamentally blocked. That is, while the counterfeit compensation memorandum of the existing transaction brokerage platform is simply provided in an explicit form, in the present invention, when a counterfeit product is sold through a blockchain smart contract, the contracted compensation can be made automatically through insurance, for example, a consumer insurance system. .

In addition, the present invention provides a service in a form that allows users, ie, sellers and buyers, to utilize the existing platform, thereby minimizing the fixed cost due to the introduction of the service.

Furthermore, the present invention is a platform that combines block chain and e-commerce, and can be provided in a combined form of block chain, product, payment, search, community, token, etc. It is a technology that utilizes block chains throughout e-commerce, and each function can be provided through modularization. That is, the present invention allows sellers to write a memorandum to compensate several times the selling price in the event of an accident, such as selling counterfeit goods before selling a product, for example, a luxury product, through a smart contract, and store it in the block chain, so that consumers can It can be transparently disclosed to customers (or buyers), and since the details of ownership transfer after product transaction are recorded in the block chain, if the purchased product is sold second-hand, the purchase path, owner, and activation details are stored in the block chain can be proved through In addition, the present invention rewards all users in the community with tokens according to their level of activity participation, converts the rewarded tokens into points and can use them like cash, and buyers can purchase products through point payment when purchasing products, The seller may use the additional service for marketing and promotional activities provided by the service of the present invention.

Furthermore, the method according to the present invention can provide a user-centered user interface and user experience (UX), and through this, various user-friendly functions such as quick and easy search and simple payment are provided for the user to use easily. can support For example, in the method according to the present invention, icons and functions can be arranged and provided in an easy-to-use manner in consideration of user convenience, functions required by the user can be researched and carefully selected, and changed through continuous feedback. UI and UX can be provided according to the user's preference. In addition, the present invention can analyze a consumer's pattern based on big data to recommend and provide a product they prefer or need, and consumers can select the desired product at once based on their usual interest without going through a search procedure through the corresponding function. By providing a module that reflects all payment methods such as coupons and points, it helps sellers to perform daily settlement without any extra work, and it can also provide basic accounting processing functions.

The present invention will be described a little more with reference to FIG. 4 as follows.

4 shows an exemplary diagram for explaining a method according to an embodiment of the present invention, and it is assumed that "save" is a server that provides a service.

As shown in Fig. 4, the seller registers the seller compensation contract memorandum in the block chain, registers the product to be sold in the product online market provided by Gohada, and provides product information for the registered product in Gohada, for example, Register product information such as product name and seller in the blockchain. In addition, sellers can register product promotions for the products they want to sell in the blockchain, register these product promotions in the product online market provided by Goohada, and register product promotions registered in Goohada in the block chain. . After going through this process, the user (or consumer, buyer) purchases and pays for the desired product through the product promotion that is exposed when the user accesses among the product promotions registered in Guhaha, or by moving the search keyword or category, then the purchased product is added to the purchased product. By registering the transfer of ownership of goods to the blockchain, the goods purchased from Guhada will be delivered.

The service of the present invention, that is, Guhada, provides a community service, analyzes user activity in the corresponding community to collect user's community activity information, and may provide point rewards according to the community activity of sellers and buyers. Here, Guhada may provide a different point reward according to the community activity of the seller and the point reward according to the community activity of the buyer.

In addition, if the product purchased by the user is verified as a counterfeit or defective product through the blockchain smart contract, the user purchases insurance through the consumer insurance system and makes a claim for damages for counterfeit products, and the compensation agreed in advance through the insurance company can be paid Of course, depending on the situation, if the user claims damages for counterfeit goods with Guhada instead of directly claiming it from the insurance company, Guhada or the seller may claim it to the insurance company agreed upon in advance and provide the paid compensation (or reward) to the user. .

The method according to the present invention described above may utilize the following techniques.

(1) Blockchain-based community reward: Proof of luxury goods based on blockchain in the community For example, information about products registered based on blockchain, product photos and information uploaded to the community by buyers, and verification by professional sellers, etc. Community activities of users (sellers or buyers) can be rewarded with tokens.

(2) Analytics service based on accumulated data: Dashboard and details on the buyer's preference for each product registered by the seller, sales, return status, time from product registration to purchase, etc. By providing the analyzed data using a variety of parameters, the seller can contribute to decision-making about which product to sell or what type of product to register.

(3) Artificial intelligence service: By analyzing the user's products of interest, when the user accesses the platform, the corresponding products are exposed as a priority, so that the user stays on the platform for a longer time and, as a result, it can lead to the purchase of the product. That is, by analyzing the product information selected by the user, the keyword analysis to be searched, the user's age, gender, frequently accessed product category, etc., the user-customized products can be exposed at the top of the page.

(4) Powerful search engine: You can search the results for various filtering at a fast speed and expose the results. For example, a user can quickly search for a desired product by using various filtering functions, such as keyword search, category search, and product popularity and preference search.

In addition, the present invention performs eco-friendly points accumulation for a sustainable sales and purchase platform, and provides eco-friendly points to the seller or buyer for the sale and purchase of eco-friendly products, the use of used products, and the sale and purchase of products that have passed a certain period of time. can also be provided to

For example, in the present invention, when a seller registers a specific product recognized or registered as an eco-friendly product, and the buyer purchases the specific product, preset eco-friendly points for the sale and purchase of the eco-friendly product can be paid as additional points, , In this case, the eco-friendly points paid as additional points to the seller or buyer may vary depending on the seller’s eco-friendliness grade, eco-friendly product sales period, eco-friendly product type, and eco-friendliness contribution in the case of sellers who sell eco-friendly products, and In this case, it may vary depending on the number of purchases of eco-friendly products, the ratio of purchases between general products and eco-friendly products, period of purchase, and contribution to eco-friendly products.

As another example, in the present invention, when a product for which used transactions have been made more than a certain number of times is purchased or sold, eco-friendly points may be paid as additional points to a seller who sold the used product or a buyer who purchased the used product. At this time, the present invention provides additional points to sellers who sell used goods according to the number of sales of used goods, the evaluation score of the buyer who purchased the used goods, whether the used goods are eco-friendly products, the seller's grade and the seller's eco-friendliness contribution, etc. Eco-friendly points may vary, and additional points are paid to buyers who purchase second-hand products according to the number of purchases of used products, the review scores of the buyers who purchased used products, whether the used products are eco-friendly products, the buyer's grade and the buyer's eco-friendliness contribution, etc. The eco-friendly points that become available may vary.

As another example, the present invention provides eco-friendly points as additional points to the seller who sold the product or the purchaser who purchased the product when a certain period has elapsed from the initial date the sale product was registered. can At this time, the present invention is based on the number of sales of the type of product to the seller who sells the product after a certain period of time, the evaluation score of the buyer who purchased the product, whether the product is an eco-friendly product, the seller's grade and the seller's eco-friendliness contribution, etc. The eco-friendly points paid as additional points may vary, and the number of purchases of the type of product to the buyer who purchases the product, the review score of the buyer who purchased the product, whether the product is an eco-friendly product, the level of the buyer and the eco-friendliness of the buyer The eco-friendly points paid as additional points may vary depending on the contribution level, etc.

As such, the present invention can help eco-friendliness such as selling and purchasing eco-friendly products, selling and purchasing products that have been traded more than a certain number of times, and selling and purchasing products after a certain period of time, as well as the basic rewards provided by the service. By additionally paying eco-friendly points to the seller and the buyer with respect to the sale and purchase of products that are already in existence, products that can help eco-friendliness can be sold or purchased.

5 shows the configuration of a product promotion system in a blockchain-based shopping mall according to an embodiment of the present invention.

Referring to FIG. 5 , the system 500 according to an embodiment of the present invention includes a collection unit 510 , a determination unit 520 , an exposure unit 530 , and a database (DB) 540 .

The DB 540 stores various information related to the present invention. For example, the DB stores product information registered by each seller, seller information, product promotion, product registration history information, etc., and stores purchase history information purchased by each buyer, buyer information, community information, etc. and can store all contents related to the present invention as well as this.

The collection unit 510 collects behavior pattern data including product information, purchase information, and community activity information clicked by each user in the blockchain-based shopping mall.

At this time, the collection unit 510 is a main keyword for posts posted to the community, keywords for comments posted by users in the community, product information sold second-hand in the community, product information purchased used in the community, and the user's registered information. User's community activity information can be collected using community information, and learning can be performed using the collected and analyzed user behavior pattern data.

Furthermore, in collecting behavior pattern data, the collection unit 510 may determine the priority of the data. For example, by determining the community activity information as the highest priority, the user's behavior pattern using the community activity information as the main data Data analysis can be performed.

The determiner 520 determines product promotions corresponding to the user's behavior pattern data from among product promotions registered in advance based on the collected behavior pattern data.

At this time, when learning the collected user's behavior pattern data, the determiner 520 sets a product promotion corresponding to the user's learning result from among the product promotions registered in advance based on the learning result of the behavior pattern data, the user-customized product It can be decided by promotion.

Furthermore, when a search keyword is input by the user, the determiner 520 may search for product promotions corresponding to the input search keyword, and determine the searched product promotions and the determined product promotions as user-customized product promotions.

At this time, the determination unit 520 may determine the exposure priority of each of the determined product promotions through a predetermined exposure algorithm, and when a search keyword is input, set the exposure priority of the product promotion searched by the search keyword to be high , the exposure ranking of product promotions determined by the behavior pattern data may be set low, and when there is the same product promotion among the searched product promotions and the determined product promotions, the corresponding product promotion may be set as the highest exposure ranking.

Furthermore, the determination unit 520 may include the user's behavior pattern data, information on each of a plurality of pre-registered product promotions, and information on the seller corresponding to each of the plurality of product promotions (eg, main selling products, sellers). Rating, seller trust, etc.) and user information (eg, main product of interest, age, gender, brand of interest, etc.) may determine product promotion.

Here, the determination unit 520 searches for product promotions corresponding to each of the behavior pattern data, calculates the priority of each of the product promotions searched by using a weight preset for each of the behavior pattern data, and is based on the calculated priority. Based on the preset number of product promotions, it may be determined as a user-customized product promotion.

Furthermore, the determination unit 520 determines a similar product promotion of the same brand or a product promotion of a similar brand in the user's purchase history as a product promotion having priority exposure priority, or among similar product promotions of the same brand or product promotions of a similar brand, in the user's purchase history. The product promotion with the lowest price may be determined as the product promotion having priority exposure priority.

Furthermore, the determination unit 520 may determine a user-customized product promotion by reflecting product information included in (or contained in) the user's shopping cart and payment history information by the user.

The exposure unit 530 exposes the user-customized product promotion determined by the determination unit 520 on the user's screen.

Here, the exposure unit 530 may expose the product promotion determined based on a preset product promotion exposure algorithm to the user's screen, and the exposure method is a push-based exposure method, sequentially on the screen according to the exposure priority. Various methods such as exposure method can be used.

Furthermore, the exposure unit 530 includes not only the product promotions determined by the determination unit 520, but also the user's gender determined through big data-based analysis, the product promotions of interest for the product of interest in the corresponding age group, and the best set in the user's access time zone. Best product promotions for the product may be exposed on the user's screen.

At this time, the exposure unit 530 calculates the exposure ranking score for each of the product promotions determined by the determination unit 520, and the exposure ranking score for each of the product promotions of interest and the exposure ranking for each of the best product promotions. Each of the product promotions may be exposed on the user screen based on the score.

Furthermore, the exposure unit 530 may expose the product promotion registered by the seller of the highest grade as well as the product promotion for the user in the space set as the premium exposure space with the highest priority.

Although the description of the system of FIG. 5 is omitted, the system of FIG. 5 may include all of the contents described with reference to FIGS. 1 to 4 , and this is obvious to those skilled in the art of the present invention.

The system or apparatus described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, systems, devices, and components described in the embodiments may include, for example, a microprocessor, microcontroller, arithmetic logic unit (ALU), digital signal processor, microcomputer, FPGA ( It may be implemented using one or more general purpose or special purpose computers, such as a field programmable gate array), a programmable logic device (PLD), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that can include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

Software may comprise a computer program, code, instructions, or a combination of one or more of these, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible for those skilled in the art from the above description. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (12)

collecting behavior pattern data including product information, purchase information, and community activity information clicked by a user in a block chain-based shopping mall by a collection unit;
determining at least one or more product promotions based on the collected behavior pattern data in the determining unit;
exposing the determined product promotion as a customized promotion of the user in the exposure unit; and
In the processor of the server, if the user's activity requests product verification from the community, verifying the authenticity of the product using a pre-registered certificate based on the block chain.
The collecting step
Key keywords for posts posted to the community, keywords for comments posted by the user in the community, information on used products sold in the community, information about products purchased from the community used, and information about the user's subscribed community Collects the community activity information using the information, performs learning using the collected behavior pattern data,
The determining step is
A product promotion corresponding to the user's learning result is determined from among preset product promotions based on the learning result of the collected behavior pattern data, and the collected behavior pattern data and information on each of a plurality of preset product promotions , determine the product promotion based on the information of the seller and the user information corresponding to each of the plurality of product promotions,
The step of exposing
The user's customized promotions for the product promotions of interest for the user's gender and the product of interest in the corresponding age group determined through big data-based analysis, the best product promotions for the best product set in the user's access time zone, and the determined product promotion exposed with
The determining step is
Searching for product promotions corresponding to each of the behavior pattern data, calculating the priority of each of the searched product promotions using a preset weight for each of the behavior pattern data, preset based on the calculated priority Determine the number of product promotions;
The step of exposing
determining the exposure ranking of the determined product promotion according to the calculated priority, and exposing the determined product promotion based on the determined exposure ranking,
The determining step is
When a search keyword is input from the user, a product promotion corresponding to the input search keyword is determined as an additional product promotion;
The step of exposing
Product promotion method, characterized in that exposing the determined product promotion and the additional product promotion as the user's customized promotion. delete delete delete delete delete delete delete delete delete delete delete

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