KR102515539B1 - Linked discount system and method based on travel destination sharing - Google Patents

Abstract

According to an embodiment of the present invention, a travel destination sharing-based association discount system comprises an association discount store recommendation app which is executed in a consumer terminal that a customer has to provide an association discount service between stores and is provided to inquire into a pre-registered association discount store through a relay server associated through a communication network. The travel destination sharing-based association discount system is set to provide a product when visiting a corresponding place by designating at least one travel destination registration information for a specific place for visit induction of a travel destination and provides a product to a consumer terminal that a winner has when the consumer terminal is located at a corresponding location.

Description

Linked discount system and method based on travel destination sharing}

The present invention relates to a system and method for linked discount between stores, and more particularly, to a linked discount system and method based on sharing a travel destination for linked discount between shops in a travel destination based on sharing a travel destination.

Due to the recent outbreak of Corona 19, many small business stores are in danger of closing due to difficulties in business compared to before Corona, and it is difficult for the operating tourism business and related stores to maintain their livelihood.

In addition, most of the tourism industry, except for a few large companies, are small business owners who make a living with government subsidies and loans from representatives.

Statistically, there is a 30% decrease in sales compared to before COVID-19, an increase in single-person self-employed people without employees to reduce labor costs, insufficient publicity capacity and an increasing burden of publicity expenses, local governments' measures for small business owners It is urgent to prepare, and the issuance of local currency contributes to revitalizing the local economy, but even that can be a temporary countermeasure for the local economy to shrink again due to a decrease in use if the benefits are reduced due to budget problems.

Therefore, it is necessary to prepare countermeasures for the decrease in tourists due to the reduction of festival events in the region due to COVID-19.

In addition, small business owners are requesting activation of local stores and improvement of services through new linked discount services, such as public facilities-tourist destinations-shop linkage promotion methods, and local governments are requesting tourism resources within the region following the introduction of the service. Demand for new linked discount services that can effectively measure the number of visitors is increasing.

Therefore, in order to solve the above-mentioned problem, it is possible to use local shops in association with various travel destinations where linked discount stores can be used, and travel destination sharing-based linkage that can be recommended to other travelers in order to induce additional consumer (customer) visits. Research on discount systems and methods has become necessary.

Republic of Korea Patent Publication No. 2012-0137551 (published on December 24, 2012)

An object of the present invention is to share a travel destination that allows consumers (customers) who visit a travel destination to receive a treasure-type product located at the right place in the travel destination, and to provide a discount service between stores when using a linked discount store located within the travel destination. It is to provide a based linked discount system and method.

In order to provide discount services linked between stores, the travel destination sharing-based linked discount system according to an embodiment of the present invention is executed in a consumer terminal possessed by a customer and linked discount stores pre-registered through a relay server linked through a communication network. When a customer uses linked discount stores linked to a specific store through the relay server, the linked discount store recommendation app provides information on store products of the corresponding store. Linked discount service is provided between stores so that linked discounts can be obtained, statistical information is collected from the consumer terminal, and based on statistical information on the use of stores by consumers using artificial intelligence recommendation algorithms, linked discount stores suitable for the customer can be recommended. However, by using big data based on the collected statistical information, the linked discount rate of the linked discount store is optimized, and the linked discount store that provides the optimized linked discount rate is recommended. It is characterized in that at least one travel destination registration information is set to provide a product when visiting the corresponding place, and when the consumer terminal is located at the corresponding location, the product is provided to the consumer terminal possessed by the winner.

When the relay server photographs or uploads a photo or video of a place of the travel destination with a consumer terminal possessed by a traveler who has visited the corresponding place of the travel destination where the consumer terminal is located, the relay server matches an image of a predetermined place by image comparison. In this case, it is characterized in that a treasure-type product set to the corresponding consumer terminal is provided.

The relay server registers a photo or video taken by a customer possessing the consumer terminal on his or her SNS, and when an acquaintance is invited to visit the destination in response to the invitation, the relay server provides a product corresponding to the treasure set in that place. In addition, it is characterized in that a discount coupon including a discount coupon for a product associated with a discount store located near the additionally visited travel destination can be provided.

In the above, the relay server sets a customer level when each customer signs up as a member, stores the level including the level in consumer information, and provides experience whenever a linked discount store is used, so that the cumulative experience exceeds the upper limit. If you level up, the level grade is differentially applied to each consumer, and the level provides different experience points depending on the number of visits to the destination, the number of app accesses, the number of app comments, and the number of friend invitations when connecting to SNS. to be characterized

In the above, the relay server is configured in a game format as a product provided at the time of winning, and is set so that the product can be won in the form of finding a treasure and provided, and the in-game treasure is implemented as an image in the game in the linked discount store recommendation app. Registering in at least one place of the image of the region and providing at least one clue about the place, and when the consumer terminal moves to the corresponding location and finds the location through the clue, the product is provided in the form of winning characterized by

In the above, it is characterized in that the consumer terminal enables confirmation of winning after verifying the two-dimensional code or mobile phone number, and the relay server enables delivery of the winning product after verifying the two-dimensional code upon winning.

In the linked discount method based on sharing of travel destinations using the relay server according to an embodiment of the present invention, the relay server provides a linked discount so that a customer who is going to visit a travel destination is recommended for the travel destination in order to activate domestic and foreign travel destinations and stores located in the travel destination. Providing a recommended travel destination through a store recommendation app; setting treasure information to provide treasure-type products when the destination is visited by designating at least one piece of travel destination registration information for a specific place for inducing visits to the corresponding travel destination in order to activate travel destination tourism and local stores; Uploading a photo or video by photographing the location of the destination with a consumer terminal possessed by a traveler who has visited the corresponding place of the travel destination; providing, by the relay server, a product in the form of a treasure set to the corresponding consumer terminal when the uploaded image and a predetermined place image match each other; updating and storing, by the relay server, a new treasure at a corresponding place in order to induce a new visitor to visit the corresponding travel destination even after providing the product; Photos or videos taken by the consumer device owned by the customer are registered on the customer's own SNS, and when an acquaintance is invited and the acquaintance visits the destination in response to the invitation, the treasure set in that place is provided and additionally located nearby. and dispensing discount coupons including discount coupons for products at discount stores.

In the above, the recommended travel destination uses an artificial intelligence recommendation algorithm to utilize the customer's statistical information to induce the customer to visit the travel destination, with the corresponding customer and tendency, age, age, gender, interest, hobby, store used and use It is characterized in that the travel destinations visited by customers with similar time are recommended and provided.

The travel destination sharing-based linked discount system of the present invention can activate inter-store transactions by setting inter-store linked discounts, and presents an optimized discount rate to customers who use local currency and visit linked shops, thereby improving the continuity of linked shops. Since sales of the store can be increased by inducing revisit, there is an effect of increasing sales for local stores and sufficiently motivating customers to use the service.

After checking the list provided on the consumer terminal, you can receive a recommendation of a store you need to use or want to use to receive a linked discount, so you can easily find a linked discount store. Anyone can easily use linked discount stores, so customers and stores can benefit from each other and ultimately contribute to revitalizing the local economy.

In addition, when searching for a linked discount store, it recommends a linked discount store that provides an optimized linked discount rate based on big data and artificial intelligence algorithms for collected statistical data, so that both customers and stores can maximize profits through linked discounts. There are advantages to being able to

In addition, to revitalize domestic travel destinations and local stores, customers (consumers) who have visited travel destinations recommend travel destinations to other customers with similar inclinations, and the recommended customers can connect and provide products when they visit the destination, It has the effect of continuously inducing visits to travel destinations, providing various products upon visits, and contributing to vitalization of local shops by linking discounts when using the corresponding local shops.

1 is a block diagram showing the configuration of a travel destination sharing-based linked discount system according to an embodiment of the present invention.
2 is a block diagram showing the internal configuration of the relay server of FIG. 1 in detail.
3 is a flowchart of a method for linking discount based on sharing a travel destination according to an embodiment of the present invention.
4 is a diagram illustrating a process of sharing a visit to a travel destination and finding a treasure in a method of linking discount based on sharing a travel destination according to an embodiment of the present invention.
5 is a diagram showing an example of a screen for customer inquiry according to a customer (consumer) registered member search method in the present invention.

Hereinafter, specific embodiments of the present invention will be described in detail with reference to the drawings. However, the spirit of the present invention is not limited to the presented embodiments, and those skilled in the art who understand the spirit of the present invention may add, change, delete, etc. other elements within the scope of the same spirit, through other degenerative inventions or the present invention. Other embodiments included within the scope of the inventive idea can be easily proposed, but it will also be said to be included within the scope of the inventive concept. In addition, components having the same function within the scope of the same idea appearing in the drawings of each embodiment are described using the same reference numerals.

As shown in FIG. 1, the travel destination sharing-based linked discount system of the present invention is connected to a store terminal 200 or a consumer terminal 100 through a communication network 400 to provide inter-store linked discount and store recommendation services. The server 300 is included.

The relay server 300 is basically accessed from the store terminal 200 located in the store, registers a linked discount store and a linked discounted product, and provides a linked discount store between stores and a linked discount store recommendation service. It is linked with the associated discount store recommendation app executed on the consumer terminal 100, and provided so that registered discount stores can be viewed through the associated discount store recommendation app executed on the consumer terminal 100, and ordered linked discount products. Alternatively, when making a service reservation, ordering a product or paying for a service is performed, and payment approval information is transmitted to the store terminal 200 in which the product or service is registered.

In addition, the relay server 300 may provide a revenue sharing process capable of distributing revenue between associated discount stores when linking stores.

In addition, the relay server 300 may maximize mutual profits by receiving income obtained in terms of commission or advertisement cost obtained from linked discount stores and reflecting a certain ratio in applying the linked discount rate.

In addition, the linked discount store recommendation app of the present invention is an application that is a kind of computer program installed and executed in the store terminal 200 or the consumer terminal 100 owned by the consumer to receive inter-store linked discount services, and a relay server ( 300), and various linked discount services can be provided in connection with the relay server 300.

In particular, the associated discount store recommendation app provides a discount service linked to stores through the relay server 300 so that consumers can receive discounts on store products when using a linked store linked to a specific store, but from the consumer terminal 100 Statistical information is collected, artificial intelligence recommendation algorithms are used to recommend linked discount stores suitable for the corresponding consumer based on statistical information, and linked discount rates of linked discount stores are utilized by utilizing big data based on statistical information. By optimizing, it is possible to recommend a linked discount store that provides an optimized linked discount rate.

Furthermore, the statistical information used when recommending a linked discount store may include at least one of consumer information and linked discount provision details, movement information according to consumer location movement, linked discount rate between stores, linked discount store information near the location, and consumer information. there is.

As shown in FIG. 6, when a consumer carrying a consumer terminal 100 visits a store, the associated discount store recommendation app completes consumer confirmation by searching a preset QR code or phone number for store products, the corresponding consumer The connected discount store recommendation app installed in the terminal may be provided in conjunction with a relay server so that a linked discount store discount coupon is automatically issued according to the use of a linked discount store product.

In addition, when issuing a discount coupon, a list of at least one linked discount store recommended by an artificial intelligence algorithm may be provided to the linked discount store discount coupon.

For example, the list of linked discount stores can be provided in a priority form based on the order of movement information collected by statistical information and consumer preference (included in consumer information). You can receive a recommendation of a store to use or want to use to receive a linked discount, so you can easily find a linked discount store, and as the distance is provided in order of proximity, anyone nearby can easily use the linked discount store, so you can consume Proud stores can share profits with each other, ultimately contributing greatly to revitalizing the local economy.

Furthermore, the linked discount store recommendation app implements and displays an augmented reality/virtual reality-based 3D/2D map or linked discount store in the form of a GUI (Graphical User Interface), and the consumer terminal 100 determines the location where the linked discount store is located ( coordinates), a store discount voucher may be issued to the consumer terminal 100 along with a pop-up notification. Proximity around the location can be determined by receiving location coordinate values using GPS location information or GIS-based geographic information, etc. It can also be used for comprehension.

In addition, at this time, the 3D/2D map map based on augmented reality/virtual reality may be provided by modifying or editing existing map maps provided from portal sites or apps such as Daum and Naver through an agreement, or may be provided as is.

In addition, the GUI (Graphical User Interface) of the associated discount store is displayed on the map in the form of a store-shaped icon, and when a consumer touches a specific store on the screen, the associated discount store associated with the store can be listed and displayed. By displaying the moving routes of the stores they have used on the map, it is possible to guide the consumer where to select the next destination (linked discount store to use).

This will motivate consumers to use other linked discount stores, add the tourist element of moving to various places (linked discount stores on the route) to arouse interest, and from the point of view of stores, attract more consumers. It can play the role of an inducement to make it possible.

In addition, the relay server 300 may make a payment by applying a discount rate linked between stores when ordering a product or paying for a service, and may use local currency as a payment method.

In the consumer terminal 100 possessed by the consumer, by downloading, installing, and executing an associated discount store recommendation app from the relay server 300, the inter-store link discount service provided by the relay server 300 can be provided.

In addition, the consumer terminal 100 needs to receive and register consumer information in order to receive inter-store linked discount services, and register local currency for payment for linked discount products or services in linked discount store recommendation apps to receive payment services. can

In addition, at this time, individual consumers collect statistical information tailored to each consumer, and citizenship, a type of membership, is issued to provide seamless linked discount services so that they can use linked discount services through citizenship. In addition, it may be issued in the form of a card or a mobile card.

In addition, the type of local currency to be used for payment service can be divided into card type, paper type, and mobile type local currency issued within the region, all of which are provided as unique identification codes when local currency is issued in the local currency management app. You can use a barcode or QR code in the form of a code, or use a card number in the case of a card type to register for a linked discount store recommendation app for a payment service for linked discounts.

In addition, the relay server 300 may issue a linked discount voucher that can be reused in the form of a discount coupon after payment is approved through the linked discount store recommendation app.

FIG. 2 is a block diagram showing a detailed configuration of the relay server 300 of FIG. 1 .

As shown in FIG. 2, the relay server 300 includes a consumer registration unit 310, a discount and event unit 320, a payment approval unit 330, a recommendation unit 340, a security management unit 350, a database ( 360) is further included.

The consumer registration unit 310 receives and registers consumer information in order to receive inter-store link discount service from the consumer terminal 100, or provides inter-store link discount service to consumers in order to register store products in the store terminal 200. Register your store to do so.

When the payment approval unit 330 requests payment, the discount and event unit 320 applies a linked discount rate between stores set for the corresponding product or service.

In addition, the discount and event unit 320 applies the linked discount rate according to the basic discount rate and linked discount rate provided from the store terminal 200 in the case of linked discount stores, and applies the basic discount rate in case of non-linked discount stores, so as to provide discounts on products. Linked discount service is provided so that payment can be made.

Here, the linked discount is a linked discount between stores, and means that a linked discount service is provided according to a set linked discount rate when a product of a pre-registered linked discount store is used. Here, the associated discount store registered in advance may be an affiliated store registered in the operation server without a separate associated discount store registration process.

For example, if a consumer (user) visits an aquarium among various stores, stops at an optician's shop, and then orders a menu at a pub, linked discounts are sequentially applied according to linked discount registration between pre-registered stores.

At this time, even if you use up to two stores, the linked discount is provided by the linked discount between the two stores, and additional linked discounts can be applied to additional visits thereafter. There is, and the store can attract many consumers.

In addition, the linked discount rate may be applied singly or overlappingly according to at least one of the number of times of use between linked discount stores, distance between stores, franchise, affiliated stores, mutual designation between stores, connection setting with public facilities, and setting of family stores.

The distance association between stores may be set to automatically link when located within a specific radius from a specific store, and the store designation linkage may be set to link by mutual designation between affiliated stores regardless of distance.

In addition, the connection setting of public facilities may be set to be mutually connected if it is a public facility regardless of distance.

In addition, by utilizing geofencing technology, stores within a certain distance are automatically set up to link automatically, stores select and link with desired stores regardless of distance, and other stores set their own stores. It is also possible to provide an allowable linkage setting function for setting whether or not to allow linkage so that linkage can be selected.

In addition, in the case of a store registered as a family, when the store sets a family discount, the consumer can receive the family discount in addition to the linked discount for the corresponding product. In other words, in the case of a family store, a total of three discount benefits (basic discount, linked discount, family discount) can be received depending on whether the store provides discounts. can receive various discount benefits, and stores can maximize profit creation.

The family store may be a store affiliate (franchise) or a store previously registered as a family store for mutual support between stores. In addition, when a region, age group, student, housewife, office worker, family, etc. create a preferred group and related stores are registered in the group, the corresponding stores may be referred to as family stores.

At this time, the discount and event unit 320 provides a function of guiding the store to be searched for an associated discount, and upon request from the consumer terminal 100, provides a search service for associated discount stores and associated discount products in conjunction with the DB, , The consumer terminal 100 may provide a recommended store and product service upon request, or the store terminal 200 may directly set and provide various discount rates according to event settings.

In addition, the discount and event unit 320 designates at least one travel destination registration information for a specific place to induce visits to the destination in order to activate domestic and foreign travel destination tourism and local stores, and treasure information to provide a treasure-type product when visiting the destination. can be set.

Here, the destination registration information may include the name of the destination, a code for each type of travel knowledge, a tourist attraction in the destination, the number of treasures, and discount stores associated with the region.

In addition, when registering a treasure as a product, the relay server 300 sets treasure registration information including a treasure name, the number of related treasures, a description of the treasure, and a treasure picture, thereby completing the treasure setting for the travel destination.

That is, the relay server 300 may provide a treasure product to the consumer terminal when the consumer terminal is located at the set location of the travel destination, and in conjunction with a communication company server (not shown) to confirm the location of the consumer terminal based on GPS. The location information of may be acquired and provided.

In addition, at this time, since it may be difficult to accurately determine whether the place where the consumer terminal is located is the travel destination, as shown in FIG. The server 300 preferably provides a set treasure-type product to the corresponding consumer terminal when it matches a preset place image through image matching.

Here, the preset place image is an image of a place where the treasure of the travel destination is located, and may include a plurality of images taken from various angles, and prior learning may be performed in advance to determine whether or not they match when comparing images by neural network learning. there is.

Here, a customer who has visited the relevant travel destination may be a case where a customer (consumer) who has visited the relevant travel destination has recommended the destination to her with a similar disposition. It is about being able to connect with customers and provide them with products.

For example, after customer A visits a travel destination, the relay server 300 provides the customer B with similar disposition, hobbies, age, interests, gender, region, etc. included in the customer information by an artificial intelligence recommendation algorithm. Upon recommendation, customer B may visit the destination and receive a product through treasure hunting, and customer A may receive a discount coupon as a separate recommendation benefit.

In addition, in the case of the region where the customer is located as a recommendation variable, it is possible to recommend a travel destination with a similar region among customers, and if there are multiple travel destinations in the area, the travel destination course can be optimized and recommended according to the customer's movement route (travel line).

In addition, the recommendation target may be made in the form of uploading an image or video taken at the corresponding travel destination through SNS or the like to a customer who is an acquaintance of the corresponding customer in addition to customers with similar inclinations by a recommendation algorithm.

As a result, it is possible to continuously induce customers to travel destinations in this way, and the recommended customers have the advantage of being provided with products at the destination, and the recommended customers can receive a separate discount coupon, which is a mutual win. -There is a WIN-WIN advantage.

In addition, the relay server 300 may update and store new treasures in a corresponding place in order to induce a new visitor to visit the corresponding travel destination even after providing the product.

In addition, if a customer possessing a consumer terminal registers a photo or video taken on his or her SNS and invites an acquaintance such as a friend, family member, relative, or company colleague, and the acquaintance responds to the invitation and visits the destination In addition to providing the treasure set in the place, discount coupons such as discount coupons for products at linked discount stores located nearby may be additionally provided.

In addition, the relay server 300 sets a customer level for each customer (consumer) at the time of membership registration, and at this time, the level is stored in the consumer information including the level, and provides experience whenever a linked discount store is used, so that the cumulative experience value is the upper limit If it exceeds, the level can be leveled up and the level grade can be differentially applied to each consumer.

In addition, experience points can be raised by providing different levels of experience depending on the number of visits to the destination, the number of accesses to the app, the number of comments written on the app, and the number of invitations to friends when connected to SNS.

In addition, when searching for treasure in a travel destination, the in-game treasure is registered in at least one place corresponding to the right place of the local image implemented as an image in the game so that it can be implemented on a linked discount store recommendation app, and the corresponding place is easily found At least one clue about the location may be provided.

Here, the treasure image in the game can be provided in the form of a 3D/2D travel destination map based on augmented reality/virtual reality or a linked discount store implemented in the form of a GUI (Graphical User Interface), and the current location of the consumer is determined based on location. It can be tracked and displayed in the app in real time, and when the treasure hunt is successful, referring to FIG. 4 , a treasure winning animation can be displayed.

Here, the right place can be a place close to a local attraction or associated discount store to activate local tourism and expand store use, and clues are provided in the form of a quiz as a hint related to the place to arouse interest in consumers and It can provide a sense of accomplishment when you find a treasure and treasure, and further increase your interest in shops or local tourist destinations.

In addition, when the consumer terminal moves to the corresponding location through clues to the corresponding location and discovers the corresponding location, the treasure is provided in the form of winning.

Furthermore, treasure hunting is operated in such a way that settings are registered for each location of a plurality of treasures in the travel destination, and the priority of finding treasures is changed by linking between treasures. You may.

In addition, as shown in FIG. 5 on the announcement date of the winner, the consumer terminal enables a two-dimensional code such as a QR code or a mobile phone number to verify whether or not the winner has won after authenticating a two-dimensional code such as a QR code or a mobile phone number at the place of receiving the treasure. As a product after number verification, a real product or a mobile coupon can be delivered.

For mobile phone number authentication, it is possible to check whether the subscribed mobile phone number and consumer information match in connection with a communication company server (not shown), and through this, authentication is performed.

In addition, even if you do not win and lose the lottery because you cannot find the place, you can receive the linked discount when using the stores registered for the linked discount as before, and the payment details and usage details for the linked discount are stored in the database of the relay server 300 It is stored and managed in 360.

The payment approval unit 330 receives a two-dimensional code such as a barcode or QR code of a local currency registered in the consumer terminal 100 and approves the payment according to whether the corresponding code is approved.

In addition, payment approval may be made using the card number of the card-type local currency of the consumer terminal 100 or the registered mobile phone number.

The case of using a mobile phone number is a case of a phone delivery order, and a mobile phone number registered with the consumer terminal 100 is requested to be entered, and compared with the mobile phone number included in the consumer information stored in the DB of the relay server 300 By performing authentication, it can be the way an order is placed.

The recommender 340 may collect statistical information on consumer information and associated discount provision details, etc., and then provide the corresponding consumer with an artificial intelligence recommendation algorithm to recommend a linked discount store, further providing statistical information Based on big data, it can be provided to optimize the linked discount rate of the linked discount store, or the linked discount store to be used next can be recommended according to the optimized linked discount rate.

Here, the recommendation algorithm may be, for example, a Hybrid GRU-CNN artificial intelligence algorithm, an artificial intelligence algorithm using similarity analysis, and the like.

Specifically, in the case of recommending affiliated discount stores that optimize the affiliated discount rate of affiliated stores by using big data based on statistical information. Linked discounts can be provided between stores, but since there is a difference in the consumer visit rate depending on the store discount rate, the higher the discount rate, the more consumers will be, but if it continues to be high, the store's profit rate will decrease. It may be a recommendation, and a reference value for calculating an optimized linked discount rate may be set.

For example, set parameters for determining the discount rate, and the parameters include commercial district characteristics (school, workplace proximity, etc.), consumer information (gender, age group, recommendation/participation/visit rate, propensity, interests, hobbies, stores used, usage hours, etc.) , type of industry (restaurant, cafe, etc.) as a variable, the discount rate should be different according to these variables, and using an artificial intelligence algorithm based on big data collected statistical information, the optimal store profit or consumer profit can be maximized An associated discount store may be recommended by calculating an associated discount rate.

In addition, the discount of the store service in the conventional system is fixed as one service, and if a 10% discount is provided for each store (product), a 10% discount is provided to all consumers, respectively. However, the linked discount service provided by the present invention It is to use artificial intelligence so that the discount rate varies depending on the consumer, rather than fixed as one service.

Specifically, artificial intelligence algorithms use consumer information and statistical information to analyze consumer usage rate, number of store visits, type of visited stores, industry, similarity between industries, weather, business district, day of the week, season, gender, age, etc. A discount rate can be recommended.

In addition, an additional discount rate is applied not only when visiting the same store, but also when visiting a related store. In conclusion, the artificial intelligence algorithm provides an optimized linked discount rate to gradually increase the discount rate so that consumers continue to revisit the linked store. The store terminal may set the maximum discount rate provided to consumers so that the linked discount rate optimized by artificial intelligence is calculated within a range that does not exceed the maximum discount rate.

The Hybrid GRU-CNN artificial intelligence algorithm used for this purpose is a Hybrid GRU-CNN neural network model for maximizing the above-mentioned discount rate decision parameter data. can be used to

Load sequence data for better machine learning learning potential You can use space-time matrix and space-time matrix mapping feature vectors using CNN module with temporal sequence data (statistics provided by statistics DB).

In addition, the Hybrid GRU-CNN neural network can be an ideal hybrid GRU-CNN neural network for processing sequence data, which is the advantage of the GRU module, and high-dimensional data, which is the advantage of the CNN module, in order to combine the two neural networks.

The framework neural network of Hybrid GRU-CNN consists of a GRU module and a CNN module, input is time sequence information, and the output of the collected discount rate decision parameter or advertisement recommendation decision parameter data and space-time matrix system is prediction of future load. .

Specifically, in terms of the CNN module, the processing is proficient, and the CNN module of the two-dimensional data image, such as a spatio-temporal matrix, matrixes the weight data for determining the linkage discount rate to extract local features, and obtains an effective decision value. And the composite weight data may include consumer preference weights, recommended fit weights, and the like.

Here, the structure of the CNN module includes two convolutions through the convolution layer and the pooling layer. At this time, it may include layer and merge operations, convolution operations and pooling operations for each convolution layer.

Moreover, after the second pooling operation, the high-dimensional data is flattened into one-dimensional data, and the output of the CNN module is a fully connected layer.

The input of the GRU module is time sequence data, and the GRU module contains many gated repeats, all of which form a fully connected layer. Finally, the prediction result of the neural network for calculating the optimized linkage discount rate can be obtained by calculating the average value of all neurons.

In addition, this Hybrid GRU-CNN neural network can be a hybrid recommendation algorithm, and it collects store information, consumer information, commercial district information, and environmental information (business district, geographic information, etc.) is used as an input variable for consumer preference weights and recommended suitable weights (commercial district characteristics, industry characteristics, etc.) to calculate the optimized linked discount rate, which is the decision value calculated by calculating the average value, and based on the calculated linked discount rate, the optimal store suitable for linkage to be able to recommend

Furthermore, if the optimized linked discount store or store does not have initial statistical information, which is an input variable for the algorithm when recommending an advertisement, a search for a condition similar to the corresponding consumer is performed using a cold start, and the linkage provided to the consumer with the most similar condition A service may be provided to recommend discount stores.

The recommended conditions are performed based on consumer information, and the consumer information collected for this purpose includes commercial district characteristics (school, workplace proximity, etc.), consumer characteristics (age, tendency, interests, hobbies, stores used, usage hours, etc.), industry characteristics (restaurants, cafes, etc.) Here, the virtually similar condition may be a condition in which the number of the above-described collection information matches or the number of similar information is the highest.

In addition, the recommendation algorithm method applied to similar conditions can utilize artificial intelligence algorithms using similarity analysis. It is also possible to use a matrix factorization method that can predict the rating of an item for each user by multiplying the corresponding row and column.

In addition, by utilizing an association rule or a mining rule in which frequently consumed items are connected to the edge of the graph, the state space of a set of possible frequent items is explored and branches of the infrequent search space are removed, A set of frequently used items is used to create rules, which may also generate recommendations (recommendations).

For example, in order to provide an associated discount store recommendation service recommended by the relay server 300 to the consumer terminal 100, consumer information is initially collected, and based on the collected consumer information, an associated discount store suitable for the most age group is selected. In addition, it is possible to create association rules in consideration of age, gender, hobbies, interests, etc. included in consumer information, and to recommend associated discount stores that match the rules.

Furthermore, the recommendation unit 340 provides a link discount service between stores so that a consumer can receive a discount on store products when using a linked store linked to a specific store, and when a linked discount store is searched, the linked discount store executed on the consumer's smartphone. To increase the consumer visit rate when it is exposed at the top of the screen of the recommended app, the affiliated store provides a service so that its advertisement is displayed in a specific store, and after providing the advertisement, a certain percentage of advertising revenue for the affiliated store is distributed to the specific store. The specific store and associated store may further include a function of classifying advertisement content, advertisement amount, period, region, and consumer through an associated discount store recommendation app running on a store terminal to perform advertisement setting.

In addition, similar to the optimized linked discount rate recommendation, it recommends advertisements for linked discount stores related to the store based on statistical information on linked discount stores collected as big data and consumers' store usage details using artificial intelligence algorithms. Similar to the discount rate determination parameter described above, an advertisement recommendation parameter may also be set.

In addition, the recommender 340 recommends that other customers have similar preferences, ages, ages, genders, interests, hobbies, stores used, usage time, etc. You can also recommend destinations your customers have visited.

As a recommendation algorithm for this purpose, the above-described similarity analysis, association rule, or mining rule may be used.

The security management unit 350 can store and manage information about consumer information, store products, payment, linked discount rate, etc. from the relay server 300 by distributing it to several systems based on the blockchain using a blockchain server (not shown). there is.

The blockchain server consists of a plurality of nodes, and among them, the payment information of the consumer, such as local currency transaction history, is distributed and stored in the form of a block. Each time a corresponding detail is created by payment, it is added in the form of a block, and the block created later contains the hash value of the previously created block.

The user's local currency generation history and transaction history stored in the blockchain server, the user's local currency payment transaction history, and advertisement revenue distribution history stored in the DBMS are periodically or by any event (user's local currency generation history, transaction history, or store If there is a new advertisement revenue distribution history), they are synchronized with each other.

In addition, consumer information, information on stores, products, linked discount rates, travel destination registration information, prize history, and treasure (product) registration information can be distributed and managed through a blockchain network for data protection, and security is strengthened. It enables secure payment and information protection.

In addition, the relay server 300 assigns identification information capable of verifying identity to each terminal for the above-described data, and uses the identification information of each terminal as a private key for lightweight encryption. algorithms can be performed.

This lightweight encryption algorithm can be used instead of in an environment where it is difficult to use a block chain, or in conjunction with the above-mentioned block chain server.

The lightweight encryption algorithm is an encryption technology designed to be implemented in a limited environment such as a smart device such as the consumer terminal 100 and the store terminal 200 used in the present invention, and HIGHT (HIGh security and light weight), a symmetric key encryption algorithm , LEA (Lightweight Encryption) and LSH (Lightweight Secure Hash), which is a hash function, can be used, and through this, it is possible to prevent illegal control due to external leakage or external hacking of the data.

In addition, it is preferable to use a lightweight hash function suitable for such an embedded computing environment as a lightweight encryption algorithm.

A lightweight hash function is a hash function that consumes relatively low computing power designed to ensure the integrity of transmitted or received data, except for some features that require high computing power in standard cryptographic hash algorithms such as SHA-3. (one-way function).

More specifically, among these lightweight hash functions, it is preferable to use a sponge algorithm that enables permutation of unkeyed data.

More specifically, the sponge makes the original message (in this case, the original data of the random key) into a certain size (padding), and then creates it with a specific standard size known only to the generator of the key (for example, the original message divided into specific bit sizes). It is implemented to exchange random data at the rear of the divided data (divided original message) by using several update functions, and to decode using the already known standard size on the other side.

That is, by utilizing such a lightweight hash function, while securing the security of the hash function, relatively less computing power is required than the use of a general hash function, resulting in power consumption of the consumer terminal 100 and the store terminal 200 can be reduced and used for a long time.

In addition, the security management unit 350 may determine whether the image is forged by using neural network learning to prevent a customer who has not visited the travel destination from obtaining a treasure product by synthesizing and uploading a fake image as if she had visited the travel destination.

For example, at least one object (eg, a specific building or object in a travel destination) is extracted from photo or video data uploaded by a customer, and the authenticity of the object (eg, whether the recognized object is a synthesized fake image) is determined. ), it is possible to determine whether it is forged or not.

In addition, by extracting an image from the acquired photo or video data, and distinguishing the real / fake of the object (or product) by deep learning-based image processing for the image, for such discrimination, the image Results can be derived by analyzing the color of the data, the ratio of colors, the text included in the image, and the surface texture.

In addition, in order to derive the probability of genuine / counterfeit of the photo or video, an authenticity determination algorithm such as a discriminator D model among deep learning algorithms DCGAN (Deep Convolution Generative Adversarial Network) algorithm is used to derive the probability that the object is genuine function. That is, the Generative Adversarial Network (GAN) algorithm may extract the item surface material characteristics through a learning method through competition between a generator and a discriminator.

In addition, the GAN algorithm generates duplicate images and uses the difference in image surface material to mutually feedback and learn between the genuine model and the fake model to increase the accuracy of the illegal copy reading algorithm corresponding to the learning model for reading the genuine article. In addition, by using a model with increased accuracy, it is possible to read when a fake product image is input.

3 is a flowchart of a method for linking discount based on sharing a travel destination according to an embodiment of the present invention.

First of all, the relay server 300 provides through an associated discount store recommendation app so that customers (consumers) who will visit the travel destination can receive recommendations for travel destinations in order to activate domestic and foreign travel destinations and stores located in the travel destination (S100).

In this case, the provided recommended travel destination may be customized by utilizing information of a corresponding customer to which a recommendation algorithm such as similarity analysis method as described above is applied.

The relay server 300 designates at least one travel destination registration information for a specific place for inducing visits to the travel destination in order to activate travel destination tourism and local shops, and set the treasure information to provide a treasure-type product when the destination is visited. (S102).

When a traveler who has visited the place takes a photo or video of a place of the travel destination with the consumer terminal 100 possessed and uploads a photo or video, the relay server 300 compares the image to the pre-set place image, the corresponding consumer terminal A treasure-type product set to (100) may be provided (S104, S106).

In addition, the relay server 300 updates and stores the new treasure in the corresponding place in order to induce new visitors to visit the corresponding travel destination even after providing the product (S108).

If a customer registers a photo or video taken by the consumer terminal 100 possessed by the customer on his or her SNS and invites acquaintances such as friends, family, relatives, and company colleagues, the acquaintances respond to the invitation and visit the destination. In this case, a treasure set in the corresponding place may be provided, as well as a discount coupon such as a product discount voucher for a related discount store located nearby (S110).

In this specification, a 'terminal' may be a wireless communication device with guaranteed portability and mobility, and may be, for example, any type of handheld-based wireless communication device such as a smart phone, a tablet PC, or a laptop computer.

Also, the 'terminal' may be a wired communication device such as a PC capable of accessing other terminals or servers through a network.

In addition, the communication network 400 means a connection structure capable of exchanging information between nodes such as terminals and servers, a local area network (LAN), a wide area network (WAN), It includes the Internet (WWW: World Wide Web), wired and wireless data communications networks, telephone networks, and wired and wireless television communications networks.

Examples of wireless data communication networks include 3G, 4G, 5G, 3rd Generation Partnership Project (3GPP), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX), Wi-Fi, Bluetooth communication, infrared communication, ultrasonic communication, visible light communication (VLC: Visible Light Communication), LiFi, and the like, but are not limited thereto.

100: consumer terminal
200: store terminal
300: relay server
310: consumer register
320: discount and event department
330: payment approval unit
340: recommendation unit
350: security management department
360: database
400: communication network

Claims (8)

In order to provide linkage discount services between stores, it includes a linkage discount store recommendation app that is executed in a consumer terminal possessed by a customer and provided to be able to search previously registered linkage discount stores through a relay server linked through a communication network,
The linked discount store recommendation app is
Through the relay server, when a customer uses associated discount stores linked to a specific store, a link discount service is provided between stores so that a customer can receive a linked discount on store products of the corresponding store.
Statistical information is collected from the consumer terminal, and based on the statistical information on the use of the store by the consumer using an artificial intelligence recommendation algorithm, it is provided to recommend a discount store suitable for the customer, but based on the collected statistical information By optimizing the linked discount rate of linked discount stores using big data, recommend linked discount stores that provide optimized linked discount rates,
Designate at least one travel destination registration information for a specific place to induce a visit to the destination, set it to provide a product when visiting the place, and provide the product to the consumer device possessed by the winner when the consumer terminal is located at that location ,
The linked discount store recommendation app,
3D and 2D map maps based on augmented reality and virtual reality or associated discount stores are implemented and displayed in the form of a GUI (Graphical User Interface), and pop-up on the consumer terminal when the consumer terminal approaches the location where the associated discount store is located Issues store discount vouchers with notifications,
The GUI of the associated discount store is displayed on the map in the form of a store-shaped icon, and when a consumer touches a specific store on the screen, the associated discount store associated with the store is listed and displayed, and the movement route of the stores used by the consumer is displayed. is displayed on the map map to guide consumers where to choose their next destination,
The relay server,
The linked discount rate is applied singly or overlappingly according to at least one of the number of times of use between linked discount stores, distance between stores, franchise, affiliate stores, designation of trade name between stores, setting of association with public facilities, and setting of family stores,
An automatic linkage setting function that automatically establishes links between stores within a certain distance set by utilizing geofencing technology, a designated linkage setting function in which stores select and link with desired stores regardless of distance, and other stores Provides an allowable linkage setting function to set whether to allow linkage so that it can be linked by selecting a store of
Linked discount system based on travel destination sharing. According to claim 1,
The relay server
When a traveler who has visited the place where the consumer terminal is located takes a picture or video of the place of the travel destination with the consumer terminal possessed by the traveler, the relay server compares the image and if it matches the preset place image, the consumer A travel destination sharing-based linked discount system characterized in that it provides a treasure-type product set to a terminal. According to claim 2,
The relay server
When a customer possessing the above consumer terminal registers a photo or video taken on his/her SNS and invites an acquaintance, if the acquaintance responds to the invitation and visits the destination, the product corresponding to the treasure set in the place is provided, and additional A travel destination sharing-based linked discount system, characterized in that it is possible to provide discount coupons including discount coupons for linked discount store products located near the corresponding travel destination visited by. According to claim 3,
The relay server sets a customer level when each customer registers as a member,
The level is stored including the level in consumer information, and experience is provided each time a linked discount store is used, and when the cumulative experience exceeds the upper limit, the level is raised and the level grade is differentially applied to each consumer,
The level provides experience points differently according to the number of visits to the destination, the number of accesses to the app, the number of comments written on the app, and the number of invitations to friends when linking SNS, so that the experience point can be raised. According to claim 4,
The relay server is a product provided at the time of winning and is set in a game format so that the product can be provided by winning in the form of finding a treasure,
Within the linked discount store recommendation app, register the in-game treasure in at least one place of the local image implemented as an image in the game, and provide at least one clue about the place
When the consumer terminal moves to the corresponding location through the clue and finds the location, the product is provided in a winning form. According to claim 1,
The consumer terminal enables confirmation of winning after verifying the two-dimensional code or mobile phone number,
The relay server is a travel destination sharing-based linked discount system, characterized in that to deliver the winning product after verifying the two-dimensional code when winning. In the travel destination sharing-based linked discount method using the relay server of any one of claims 1 to 6,
providing, by the relay server, a recommended travel destination through an associated discount store recommendation app so that a customer who is going to visit a travel destination receives a recommendation for a travel destination in order to activate domestic and foreign travel destinations and shops located in the travel destination;
setting treasure information to provide treasure-type products when the destination is visited by designating at least one piece of travel destination registration information for a specific place for inducing visits to the corresponding travel destination in order to activate travel destination tourism and local stores;
Uploading a photo or video by photographing the location of the destination with a consumer terminal possessed by a traveler who has visited the corresponding place of the travel destination;
providing, by the relay server, a product in the form of a treasure set to the corresponding consumer terminal when the uploaded image and a predetermined place image match each other;
updating and storing, by the relay server, a new treasure at a corresponding place in order to induce a new visitor to visit the corresponding travel destination even after providing the product;
Photos or videos taken by the consumer device owned by the customer are registered on the customer's own SNS, and when an acquaintance is invited and the acquaintance visits the destination in response to the invitation, the treasure set in that place is provided and additionally located nearby. The step of providing discount coupons including discount store product discount coupons
A travel destination sharing-based discount method comprising a. According to claim 7,
The above recommended destinations
Travel destinations visited by customers with a similar tendency, age, age, gender, interest, hobbies, store used, and usage time to induce the customer to visit the destination by using the statistical information of the customer using an artificial intelligence recommendation algorithm A travel destination sharing-based linked discount method characterized in that it is provided by recommending.

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