WO2024117385A1 - Procédé de fourniture de service d'achat et dispositifs prenant en charge celui-ci - Google Patents

Procédé de fourniture de service d'achat et dispositifs prenant en charge celui-ci Download PDF

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Publication number
WO2024117385A1
WO2024117385A1 PCT/KR2023/001819 KR2023001819W WO2024117385A1 WO 2024117385 A1 WO2024117385 A1 WO 2024117385A1 KR 2023001819 W KR2023001819 W KR 2023001819W WO 2024117385 A1 WO2024117385 A1 WO 2024117385A1
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WIPO (PCT)
Prior art keywords
product
information
products
desired item
user
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PCT/KR2023/001819
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English (en)
Korean (ko)
Inventor
최제헌
김건호
한승미
조윤경
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쿠팡 주식회사
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Publication of WO2024117385A1 publication Critical patent/WO2024117385A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/955—Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions

Definitions

  • the present disclosure relates to a method of providing a shopping service and devices that support the same. More specifically, it relates to a method of improving the convenience of users using a shopping service and devices that support the same (e.g., user terminal, server). It's about.
  • memo apps as a means of creating and organizing purchase lists before shopping. For example, users who purchase daily necessities and food through online shopping malls create a purchase list (i.e. grocery/shopping list) in advance using a memo app on their smartphone and use the written purchase list as a kind of checklist. In addition, memo apps specialized in creating purchase lists are being released to reflect the behavior and needs of these users.
  • the technical problem to be solved through some embodiments of the present disclosure is to provide a method for providing a user-friendly shopping service and devices (e.g., user terminal, service server) that support this method.
  • devices e.g., user terminal, service server
  • Another technical problem to be solved through some embodiments of the present disclosure is a method for shortening the shopping time for multiple items/products and devices that support this method (e.g., user terminal, service server) is to provide.
  • this method e.g., user terminal, service server
  • Another technical problem to be solved through some embodiments of the present disclosure is to provide a method that can improve the accuracy of product recommendation and devices (e.g., user terminal, service server) that support this method.
  • product recommendation and devices e.g., user terminal, service server
  • a method of providing a shopping service for solving the above-described technical problem includes providing a purchase list creation interface, a method performed by a computing device, and providing a purchase list creation interface to a user through the purchase list creation interface. It may include receiving information about a desired item from and providing information about a recommended product determined based on the input information.
  • the purchase list creation interface may provide text-based information input and editing functions for the desired item.
  • the step of receiving information about the desired item includes providing an auto-complete function or an auto-correction function for the information about the desired item based on product information already registered in a server providing a shopping service. May include steps.
  • the information about the recommended product includes a first link pointing to a detail page of the first product associated with the first desired item and a second link pointing to a detail page of the second product associated with the second desired item. and further comprising displaying a detail page of the first product based on a selection input for the first link, wherein the detail page of the first product may include the second link.
  • the recommended product includes a process of searching for a candidate product among products already registered in a server providing a shopping service based on the input information and selecting a product that satisfies a preset condition among the candidate products. It can be decided through a selection process.
  • the preset condition may be that the product price is less than the standard price and the sales volume is more than the standard quantity.
  • the determined recommended product includes a plurality of products associated with a plurality of desired items, and providing range information of an expected purchase price calculated based on the prices of the plurality of products, the expected purchase Receiving the user's input to adjust the price range - at least some of the plurality of products are changed to satisfy the adjusted range - and providing information about the recommended product by reflecting the changed at least some products.
  • An updating step may be further included.
  • a method of providing a shopping service for solving the above-mentioned technical problem is a method performed by a computing device, including providing a purchase list creation interface, and providing a purchase list creation interface through the purchase list creation interface. It may include receiving information about a desired item from a user and providing product search results based on the input information for products already registered on a server providing a shopping service.
  • a method of providing a shopping service for solving the above-described technical problem is a method performed by at least one computing device, wherein information about the user's desired item is received from the user's terminal.
  • Receiving - the information about the desired item is input through a purchase list creation interface displayed on the user's terminal -, based on the received information, recommending a product related to the desired item from among the already registered products It may include a step of determining and providing information about the recommended product to the user's terminal.
  • a user terminal (or client terminal) for solving the above-described technical problem includes a processor and a memory that stores one or more instructions, and the processor executes the stored one or more instructions. By doing so, the operation of providing a purchase list creation interface, the operation of receiving information about desired items from the user through the purchase list creation interface, and the operation of providing information about recommended products determined based on the input information are performed. You can.
  • a service server for solving the above-described technical problem includes one or more processors and a memory that stores one or more instructions, and the one or more processors receive the user's wishes from the user's terminal.
  • An operation of receiving information about an item - the information about the desired item is input through a purchase list creation interface displayed on the user's terminal -, based on the received information, the desired item and
  • An operation of determining a related recommended product and an operation of providing information about the recommended product to the user's terminal may be performed.
  • a computer program for solving the above-described technical problem is combined with a computing device, providing a purchase list creation interface, and receiving information about desired items from the user through the purchase list creation interface. It may be stored in a computer-readable recording medium in order to execute the step of receiving input and the step of providing information about the recommended product determined based on the input information.
  • a purchase list creation interface when desired item information is input through a purchase list creation interface, recommended product information and/or product search results related to the desired item may be provided.
  • the convenience of the user using the shopping service can be greatly improved.
  • shopping time can be greatly shortened and user satisfaction with shopping services can be greatly improved.
  • an auto-complete function or auto-correction function based on product information registered in the service server may be provided.
  • the time required to create a purchase list can be shortened, the accuracy and specificity of the entered desired item information can be improved, and as a result, the accuracy of product recommendation and the accuracy of product search results can be improved.
  • the detail page of a product (e.g., recommended product) associated with a specific desired item may include a link to the detail page of a product associated with another desired item.
  • the user since the user can purchase products related to other desired items without having to go back to the created purchase list, the user's convenience can be further improved and the shopping time can be further shortened.
  • products that satisfy preset conditions e.g., price less than the standard price and sales volume greater than or equal to the standard quantity
  • product recommendation accuracy can be further improved.
  • a product that has been judged suitable through the learned model may be determined as a recommended product. Accordingly, product recommendation accuracy can be further improved.
  • the range of the expected purchase price may be calculated based on the prices of recommended products. Additionally, recommended products may be appropriately changed based on user input that adjusts the range of the expected purchase price. Accordingly, the user can quickly purchase products that meet his or her target budget, so the user's satisfaction with the shopping service can be further improved. Of course, the shopping time can be further shortened.
  • a one-click interface may be provided for purchasing products in bulk.
  • the user's convenience can be further improved because the user can purchase products related to the desired items in bulk with one click.
  • the shopping time can be further shortened.
  • FIG. 1 is an exemplary diagram illustrating devices supporting a service provision environment and a shopping service provision method according to some embodiments of the present disclosure.
  • Figure 2 is an example flowchart showing a method of providing a shopping service according to some embodiments of the present disclosure.
  • FIG. 3 is an exemplary diagram for explaining a purchase list creation interface according to some embodiments of the present disclosure.
  • FIG. 4 is an exemplary diagram illustrating a case of adjusting the priority of a desired item according to some embodiments of the present disclosure.
  • FIG. 5 is an exemplary diagram illustrating a case of receiving budget information according to some embodiments of the present disclosure.
  • FIG. 6 is an exemplary diagram illustrating a case of providing product search results according to some embodiments of the present disclosure.
  • FIG. 7 is an exemplary diagram illustrating a case of providing recommended product information according to some embodiments of the present disclosure.
  • FIG. 8 is an exemplary diagram illustrating a case where a link to a detail page of another product is provided through a product detail page according to some embodiments of the present disclosure.
  • FIG. 9 is an exemplary diagram illustrating a case of providing expected purchase price information according to some embodiments of the present disclosure.
  • FIG. 10 is an exemplary diagram illustrating a case of providing a one-click interface for bulk purchasing according to some embodiments of the present disclosure.
  • FIG. 11 is a detailed exemplary flowchart showing a method of providing a shopping service according to some embodiments of the present disclosure.
  • 12 and 13 are exemplary diagrams for explaining a model-based recommended product determination method according to some embodiments of the present disclosure.
  • FIG 14 illustrates an example computing device that can implement devices in accordance with some embodiments of the present disclosure.
  • FIG. 1 is an exemplary diagram illustrating devices 11 and 12 that support a service provision environment and a shopping service provision method according to some embodiments of the present disclosure.
  • a service server 12 and a user terminal 11 may exist in a service provision environment according to some embodiments of the present disclosure.
  • the service server 12 may refer to a computing device/system that provides shopping services.
  • the service server 12 may refer to a device/system (e.g., shopping mall server) that provides an online shopping site.
  • the service server 12 can provide shopping services for registered products and provide pages containing detailed information on products.
  • the service server 12 can perform various operations/functions to improve the user's shopping convenience and shorten the shopping time.
  • the service server 12 may provide information on recommended products or perform bulk purchase processing in response to a request from the user terminal 11.
  • the operations/functions of the service server 12 will be described in detail later with reference to FIG. 2 or FIGS. 11 to 13.
  • the service server 12 may be implemented with at least one computing device. For example, all functions of service server 12 may be implemented in one computing device, with a first function of service server 12 implemented in a first computing device and a second function implemented in a second computing device. It could be. Alternatively, specific functions of the service server 12 may be implemented in a plurality of computing devices.
  • a computing device may encompass any device equipped with a computing function, and for an example of such a device, refer to FIG. 14. Since a computing device is a collection of interacting various components (e.g. memory, processor, etc.), it may be called a 'computing system' in some cases. Additionally, a computing system may refer to a collection of interacting computing devices.
  • the user terminal 11 may refer to a computing device used by the user to receive shopping services.
  • the user terminal 11 may be implemented with various types of computing devices such as smartphones, laptops, desktops, etc., and may be implemented with any device. Please also refer to FIG. 14 for an example of such a computing device.
  • the user terminal 11 may be called a 'client terminal', a 'buyer/purchaser terminal', a 'consumer terminal', etc.
  • the user terminal 11 can also perform various operations/functions to improve the user's shopping convenience and shorten the shopping time.
  • the user terminal 11 may provide the user with an interface for creating a purchase list, and may also provide product search results or recommended product information in connection with the service server 12. Additionally, the user terminal 11 can also provide an interface that allows bulk purchasing of multiple products with one-click. The operations/functions of the user terminal 11 will be described in detail later with reference to the drawings in FIG. 2 and below.
  • the service server 12 and the user terminal 11 can communicate over a network.
  • the network is implemented as all types of wired/wireless networks such as Local Area Network (LAN), Wide Area Network (WAN), mobile radio communication network, Wibro (Wireless Broadband Internet), etc. It can be.
  • devices 11 and 12 that support the service provision environment and shopping service provision method according to some embodiments of the present disclosure have been schematically described with reference to FIG. 1 .
  • a method for providing a shopping service according to some embodiments of the present disclosure will be described in detail with reference to the drawings of FIG. 2 and below. However, in order to provide easier understanding, the description will be continued assuming that the methods to be described later are performed in the environment illustrated in FIG. 1.
  • Figure 2 is an example flowchart showing a method of providing a shopping service according to some embodiments of the present disclosure. However, this is only a preferred embodiment for achieving the purpose of the present disclosure, and of course, some steps may be added or deleted as needed.
  • FIG. 2 shows steps/operations of a method for providing a shopping service performed in the user terminal 11.
  • the subject of a specific step/action when the subject of a specific step/action is omitted, it may be understood as being performed in the user terminal 11.
  • some functions/operations of the user terminal 11 may be implemented on the service server 12 side, and some functions/operations of the service server 12 may be implemented on the user terminal 11 side.
  • the entity performing a specific step/action may vary depending on the implementation method.
  • the method of providing shopping services may begin at step S21 of providing a purchase list creation interface.
  • the user can run a shopping app (e.g., an app that provides shopping services in conjunction with the service server 12) installed on the terminal 11 and receive the corresponding interface by selecting a menu requesting a purchase list creation interface. there is. If the purchase list creation interface is provided through another app (e.g., memo app) linked to the shopping app, the user may be provided with the purchase list creation interface by running the app.
  • a shopping app e.g., an app that provides shopping services in conjunction with the service server 12
  • the user may be provided with the purchase list creation interface by running the app.
  • the purchase list creation interface may be implemented (produced) to provide information input and editing functions for desired items (i.e., desired purchase items) based on text (see 30 in FIG. 3, e.g., memo-based interface) ).
  • desired items i.e., desired purchase items
  • text see 30 in FIG. 3, e.g., memo-based interface
  • the purchase list creation interface may be implemented to receive desired item information based on voice, or may be implemented to receive desired item information based on image (e.g., when receiving an image of a piece of paper with a purchase list written on it) , when receiving an image of an item or product, etc.).
  • information about desired items may be input from the user through the purchase list creation interface.
  • information about the desired item includes, for example, item name (i.e., name of product type), product name (i.e., name of specific product), item/product brand (or seller), item/product category (e.g., food, Household items, kitchenware, clothing, etc.), specifications of the item/product (e.g., weight, number, purpose, etc.), item/product image, priority, etc., but are not limited to this.
  • item name i.e., name of product type
  • product name i.e., name of specific product
  • item/product brand or seller
  • item/product category e.g., food, Household items, kitchenware, clothing, etc.
  • specifications of the item/product e.g., weight, number, purpose, etc.
  • item/product image e.g., priority, etc.
  • an auto-complete function or an auto-correction function may be provided for desired item information input through the purchase list creation interface.
  • This function can be provided based on product information already registered in the service server 12, and in this case, the time required to create a purchase list can be greatly shortened.
  • the accuracy and specificity of the entered desired item information can be improved. For example, even if the user enters only part of the item name, the item name can be completed quickly through the auto-completion function.
  • additional information such as brand and specifications is added through the auto-completion function, so that the entered desired item information is specific. It can also be specified to the extent of referring to a product.
  • the error can be immediately corrected through the auto-correction function.
  • the accuracy of product recommendation and the accuracy of product search results can be improved.
  • the auto-complete keyword for the name of a specific product e.g., a product with a high recommended ranking, a product from an excellent seller, a product with a high advertising fee, etc.
  • the specific product is exposed at the top of the keyword list, so that the specific product The effect of inducing purchases may be achieved.
  • Figure 3 illustrates that information (e.g., item name) of a desired item is input through the purchase list creation interface 30 displayed on the user terminal 11.
  • information e.g., item name
  • FIG. 3 a user can easily create a purchase list by entering a number of desired items (31 to 33, etc.) through the purchase list creation interface 30.
  • the user may also input additional information such as brand and specifications in addition to the names of desired items (31 to 33, etc.).
  • an indicator 34 (or graphic object) to distinguish desired items (31 to 33, etc.) may be displayed on the purchase list creation interface 30.
  • the indicator 34 may be used to indicate information such as the selection status and priority of the desired item (e.g., when selected, a check mark appears on the indicator 34 or the color/size/shape, etc. changes, priority The color/size/shape of indicator 34 changes accordingly, etc.).
  • an interface that provides editing and/or management functions for the purchase list may be further provided.
  • interfaces that provide a cancellation (delete) function for selected desired items (see 35), a cancel function for all desired items (see 36), a list save function (see 37), a list load function, etc. (35 to 37) may be provided together with the purchase list creation interface 30.
  • the corresponding interfaces 35 to 37 are included in the purchase list creation interface 30.
  • Figure 3 assumes that the corresponding interfaces 35 to 37 are implemented as buttons, but the scope of the present disclosure is not limited thereto.
  • priority (or importance) information of desired items may be further input through the purchase list creation interface 30.
  • the user can set the priority by tapping (clicking) on the desired items displayed on the purchase list creation interface 30 (e.g., the priority changes with each tap).
  • the visual elements e.g., color, size, shape, etc.
  • the indicator see 34
  • the user can also set/adjust the priority by changing the location (or order) of the desired items 31 and 32 (see Figure 4).
  • the priority of the desired item may be used to determine a related recommended product; in this regard, please refer to the description of FIG. 9.
  • an interface 51 for receiving target budget information for the purchase list may be further provided.
  • Figure 5 shows an example where the interface 51 is implemented in the form of a slide bar and the range of the target budget (see 52 at the bottom and 53 at the top of the budget) is input.
  • target budget information is input, recommended products can be determined or changed to suit the target budget. In relation to this, please refer to the description in FIG. 9.
  • step S23 recommended product information and/or product search results related to the desired item may be provided.
  • the user terminal 11 may receive recommended product information and/or product search results from the service server 12 and display the received information on the screen.
  • the specific method by which the service server 12 determines a recommended product will be described in detail later with reference to FIGS. 11 to 13.
  • the user terminal 11 in response to the user's selection input for a specific desired item, the user terminal 11 selects already registered products based on information such as product search results (e.g., name of the desired item, etc.) related to the selected desired item. search results) can be provided to the user. For example, as shown in FIG. 6, the user terminal 11 selects a link 61 for a product search result related to a specific desired item 31 (e.g., 'zucchini') as the desired item on the purchase list creation interface 30. It can be displayed adjacent to (31). In addition, the user terminal 11 may provide related product search results in response to the user's selection input for the displayed link 61 (e.g., displaying a product search result page of the shopping app).
  • product search results e.g., name of the desired item, etc.
  • search results can be provided to the user. For example, as shown in FIG. 6, the user terminal 11 selects a link 61 for a product search result related to a specific desired item 31 (e.g.
  • the user terminal 11 may provide related product search results even if there is no selection input for a specific desired item (e.g., if you enter the name of the desired item and press enter, product search results are provided immediately, purchase Once the list is completed, product search results for all desired items are provided at once, etc.)
  • a specific desired item e.g., if you enter the name of the desired item and press enter, product search results are provided immediately, purchase Once the list is completed, product search results for all desired items are provided at once, etc.
  • the user terminal 11 may display a product search interface (e.g., button) for the selected desired item.
  • a product search interface e.g., button
  • the user terminal 11 may provide product search results related to the selected desired item.
  • the user terminal 11 may provide recommended product information for the selected desired item. For example, as shown in FIG. 7, the user terminal 11 displays recommended product information 71 associated with the desired item 32 (e.g., 'Hetbahn') as the desired item 32 on the purchase list creation interface 30. It can be displayed adjacent to . Additionally, the user terminal 11 may display recommended product information 72 associated with another desired item 33 (e.g., 'flower pot') adjacent to the desired item 33. At this time, the recommended product information 71 and 72 may include a link pointing to the detailed page of the recommended product.
  • recommended product information 71 and 72 may include a link pointing to the detailed page of the recommended product.
  • Recommended product information displayed on the purchase list creation interface 30 may include, for example, product name, product price, product specifications, sales volume, discount rate, accumulation rate, review information (e.g., number of reviews, rating, sentiment analysis results, etc.). However, the scope of the present disclosure is not limited thereto. In some cases, the information on the recommended product displayed may be dynamically determined by the user terminal 11 or the service server 12 (e.g., if the product has a high discount rate/accumulation rate, the discount rate/accumulation rate is displayed). Additionally, in some cases, additional information 73 may be displayed indicating that the product corresponds to a product previously purchased by the user (e.g., displaying 'previously purchased product', displaying the number of purchases, date of purchase, etc.).
  • the user terminal 11 may provide information on related recommended products even if there is no selection input for a specific desired item (e.g., if you enter the name of the desired item and press enter, the recommended product information is immediately displayed. provided, once the purchase list is completed, recommended product information for all desired items is provided at once, etc.)
  • a specific desired item e.g., if you enter the name of the desired item and press enter, the recommended product information is immediately displayed. provided, once the purchase list is completed, recommended product information for all desired items is provided at once, etc.
  • the user terminal 11 may display a product recommendation interface (e.g., button) for the selected desired item.
  • a product recommendation interface e.g., button
  • the user terminal 11 may provide recommended product information related to the selected desired item.
  • the user terminal 11 displays the details page of the selected product (i.e., the product purchase page) ) can be displayed. For example, when a selection input for the link 72 of a specific recommended product is received, the user terminal 11 may display the product detail page (see 81 in FIG. 8) indicated by the selected link 72 on the screen.
  • a link to the detail page of a product associated with another desired item is provided through the detail page of a product (e.g., recommended product, searched product) associated with a specific desired item. It can be.
  • a product e.g., recommended product, searched product
  • FIG. 8 illustrates a product detail page 81 displayed on the user terminal 11 as a selection input for a recommended product link (72 in FIG. 7) is received.
  • FIG. 8 illustrates that other desired items (33, hereinafter referred to as 'first desired item') are displayed on the detail page 81 of the recommended product (hereinafter referred to as 'first product') related to the specific desired item (33, hereinafter referred to as 'first desired item').
  • a link/interface (see 82) that can move to the detail page of a product (hereinafter referred to as 'second product') related to the product (hereinafter referred to as 'second desired item') may be included.
  • Figure 8 illustrates that the link is embedded in the purchase confirmation button/interface 82 so that the purchase of the first product can be moved to the details page of the second product at the same time, but the scope of the present disclosure is not limited thereto. no.
  • the second desired item may be determined as one entered in the order following the first desired item through the purchase list creation interface 30 (i.e., an item located after the first desired item on the purchase list).
  • the user can sequentially purchase desired items included in the purchase list.
  • the second desired item may be determined to have a degree of similarity with the first desired item that is greater than or equal to a standard value (e.g., determined as the item with the highest degree of similarity).
  • a standard value e.g., determined as the item with the highest degree of similarity.
  • the degree of similarity between items may be determined based on the similarity of the category and name to which the item belongs, for example, but the scope of the present disclosure is not limited thereto.
  • the user can proceed with purchasing similar desired items on the purchase list (e.g., after purchasing products in the food category, products in other categories are purchased).
  • the second desired item may be randomly determined from among desired items that are in an unpurchased state.
  • the second product may be determined based on various combinations of the examples described above.
  • range information of the expected purchase price may be further provided to the user.
  • the user terminal 11 may provide the user with an estimated purchase price 91 for desired items (31 to 33, etc., i.e., purchase list).
  • the expected purchase price (91) can be calculated in the form of a range based on the prices of products associated with each desired item (31 to 33, etc.) (e.g., select the minimum price product for each desired item and select the selected products.
  • the bottom price is calculated by adding up the prices, the products with the highest price are selected, and the prices of the selected products are added to calculate the top price).
  • the expected purchase price 91 may be calculated by the user terminal 11 or the service server 12.
  • interfaces 92 and 93 for adjusting the range of the expected purchase price 91 may be further provided.
  • the user can adjust the range of the expected purchase price 91 to suit his or her target budget, which may be understood as the user entering/setting the target budget.
  • FIG. 9 shows an example where two sliders 92 and 93 are provided so that the lower and upper ends of the expected purchase price 91 can be adjusted, respectively.
  • the scope of the present disclosure is not limited thereto. If the expected purchase price 91 is adjusted to fit the user's target budget, the recommended products (or searched products) may also be changed accordingly (i.e., at least some of the recommended products to satisfy the range of the adjusted expected purchase price). is changed, and recommended product information is also updated).
  • low-priority recommended products i.e., products associated with low-priority desired items
  • products with lower prices It can be.
  • high-priority recommended products i.e., products associated with low-priority desired items
  • products not selected by the user have an adjusted expected purchase price (91). It may be changed to suit the scope.
  • recommended products may be changed based on various combinations of the previous embodiments.
  • a one-click interface for bulk purchasing may be provided.
  • the one-click interface may literally mean an interface that provides a bulk purchase function through one click.
  • the user terminal 11 may provide a one-click interface 103 in the form of a button that supports bulk purchases.
  • the user terminal 11 may further provide an interface 102 that supports bulk purchasing of selected products (e.g., products related to selected desired items) and an interface 101 that requests a change in recommended products. It may be possible.
  • the user terminal 11 When a user input (i.e., a click) is received through the one-click interface (see 103), the user terminal 11 requests the service server 12 to process a batch purchase, thereby making a batch purchase of products related to the desired item. can be achieved.
  • a user input i.e., a click
  • the service server 12 When a user input (i.e., a click) is received through the one-click interface (see 103), the user terminal 11 requests the service server 12 to process a batch purchase, thereby making a batch purchase of products related to the desired item. can be achieved.
  • FIG. 11 is a detailed exemplary flowchart showing a method of providing a shopping service according to some embodiments of the present disclosure.
  • Figure 11 assumes a case where the service server 12 provides recommended product information.
  • the method of providing shopping services may begin at step S111 in which the user terminal 11 provides a purchase list creation interface to the user.
  • step S111 the user terminal 11 provides a purchase list creation interface to the user.
  • step S21 the description of step S21 described above.
  • step S112 the user terminal 11 can receive information about desired items from the user through a purchase list creation interface.
  • step S112 the user terminal 11 can receive information about desired items from the user through a purchase list creation interface.
  • step S113 the user terminal 11 may transmit desired item information to the service server 12.
  • the service server 12 may determine a recommended product based on the received information. For example, the service server 12 may determine candidate products by searching pre-registered products based on the name of the desired item, etc., and select/determine a recommended product from among the determined candidate products. However, the specific method of selecting/determining recommended products may vary depending on the embodiment.
  • products that satisfy preset conditions among candidate products may be selected as recommended products.
  • the preset condition may be that the product price is less than the standard price and the sales volume is more than the standard quantity. This condition is that when users purchase multiple products (e.g., in the case of routine grocery shopping), individual products are unlikely to be expensive, and products with high sales volume are usually products with excellent price-quality ratio (i.e., cost-effectiveness). It can be understood as reflecting the fact that it is highly likely to be a product (i.e., it is likely to be a product that has been verified by a large number of users).
  • the service server 12 when there are multiple products that satisfy preset conditions, the service server 12 itself calculates a recommendation score (e.g., calculated by comprehensively considering sales volume, number of reviews, rating, price, discount rate, etc.
  • the recommended product may be determined by further considering the score (e.g., the product with the highest recommendation score is determined as the recommended product).
  • the recommendation suitability of each candidate product may be determined by inputting product information extracted from the detail pages of the candidate products into the learned model. Additionally, candidate products that have been judged suitable may be selected as recommended products. This embodiment will be described in more detail with reference to FIGS. 12 and 13 later.
  • recommended products may be selected/determined based on various combinations of the above-described embodiments. For example, among candidate products, a product that satisfies preset conditions (see the first embodiment) and is judged suitable through a learned model may be selected/determined as a recommended product.
  • step S115 the service server 12 may provide (transmit) recommended product information to the user terminal 11.
  • step S116 the user terminal 11 may provide the received recommended product information to the user (e.g., displayed on the purchase list creation interface 30).
  • the user e.g., displayed on the purchase list creation interface 30.
  • step S117 the user terminal 11 may provide the user with a one-click interface for bulk purchasing recommended products.
  • step S24 please refer to the description of step S24 described above.
  • step S118-1 inherent in S118-3 in response to a user input (i.e., a click) received through the one-click interface, the user terminal 11 may request the service server 12 to process a batch purchase. Then, the service server 12 can perform batch purchase processing for recommended items (e.g., perform payment processing with a pre-stored payment method, etc.) and provide (transmit) the processing results to the user terminal 11. there is.
  • a user input i.e., a click
  • the user terminal 11 may request the service server 12 to process a batch purchase. Then, the service server 12 can perform batch purchase processing for recommended items (e.g., perform payment processing with a pre-stored payment method, etc.) and provide (transmit) the processing results to the user terminal 11. there is.
  • recommended items e.g., perform payment processing with a pre-stored payment method, etc.
  • FIG. 12 is an exemplary diagram illustrating a method of determining a model-based recommended product according to some embodiments of the present disclosure. Hereinafter, the description will be continued assuming that the method for determining recommended products is performed by the service server 12.
  • these embodiments relate to a method of determining a recommended product using a learned model 121 that determines recommendation suitability.
  • Figure 12 assumes that the model 121 is a classification model configured to output a determination (prediction) result regarding whether or not the recommendation is suitable, but the scope of the present disclosure is not limited thereto.
  • model 121 may be a regression model configured to output a recommended suitability score.
  • the explanation will be continued assuming that the model 121 is a classification model.
  • the service server 12 trains the model 121 using a dataset consisting of product information (see 123, e.g., can be extracted from product detail page 122) and label information indicating whether the product is suitable for recommendation. You can. These datasets can be created, for example, from the recommendation history of various products and the purchase history of users. For a more detailed example, if the first product recommended to the user leads to a purchase (or receives positive feedback), a 'suitable' label may be given to the information on the first product. Conversely, if the second product recommended to the user does not lead to purchase (or receives negative feedback), the information on the second product may be given an 'inappropriate' label. Through this process, a dataset for supervised learning can be prepared, and the model 121 can be learned using the prepared dataset.
  • the service server 12 can determine the suitability of a specific product for recommendation using the learned model 121. Specifically, the service server 12 may extract information 123 about a specific product from the detail page 122 of the specific product and input the extracted information 123 into the learned model 121. Then, the learned model 121 can output a decision (prediction) result regarding whether the corresponding product is suitable for recommendation.
  • product information 123 examples include product name, product category (or item name), product price, brand, product image, discount rate, shipping cost, delivery period, accumulated amount, review information (e.g., sentiment analysis results for reviews, number of reviews) , average length of reviews, number of photo reviews, ratings, demographic characteristic information of the reviewer, etc.), but the scope of the present disclosure is not limited thereto.
  • review information e.g., sentiment analysis results for reviews, number of reviews
  • average length of reviews number of photo reviews, ratings, demographic characteristic information of the reviewer, etc.
  • the model 121 may be configured to further receive user information 124.
  • the user information 124 may mean, for example, information indicating the type/category of the user, and the type of user may be classified based on demographic characteristics (e.g., gender, age group, etc.).
  • demographic characteristics e.g., gender, age group, etc.
  • the product recommendation accuracy can be further improved because the suitability of product recommendation can be determined by taking the user's type into further consideration.
  • the model 121 may be configured to further receive information about other recommended products (i.e., recommended products associated with other desired items).
  • product recommendation accuracy can be further improved because the recommendation suitability of the product can be determined by further considering the correlation with other recommended products.
  • model 121 for determining recommendation suitability may be implemented based on a traditional machine learning model such as SVM (Support Vector Machine), or may be implemented based on a neural network.
  • SVM Small Vector Machine
  • model 121 may be configured to include an embedding module 131, an analysis module 132, and an output module 133. Additionally, the analysis module 132 may be implemented based on a self-attention module (e.g., implemented based on a transformer).
  • a self-attention module e.g., implemented based on a transformer
  • the embedding module 131 may be a module that converts the input information 136 into an embedding vector of an appropriate form.
  • the embedding module 131 may be implemented based on a fully-connected layer/network (e.g., MLP), but the scope of the present disclosure is not limited thereto.
  • the embedding module 131 may be omitted, and only some of the information 136 illustrated in FIG. 13 is input to the embedding module 131, and the remaining information (e.g., numerical information such as discount rate, shipping cost, etc.) may be configured to be directly input to the analysis module 132.
  • the analysis module 132 may be a module that comprehensively analyzes the input information.
  • the analysis module 132 may be configured to include a self-attention module 134 and a feed forward module 135.
  • the self-attention module 134 can analyze the correlation between the input information 136, and the feed forward module 135 can collect the input information 136 by considering the analyzed correlation.
  • the feed forward module 135 may be implemented based on a fully connected layer/neural network.
  • type information to distinguish them may be reflected in the information 136 input to the analysis module 132 (e.g., addition, multiplication, concatenation, multiplication by element, etc.
  • Type information is reflected through operations). For example, first type information may be reflected in user information, and second type information different from the first type information may be reflected in product information (e.g., product name, etc.) and input into the analysis module 132.
  • product information e.g., product name, etc.
  • the output module 133 may be a module that outputs a decision (prediction) result regarding recommended suitability.
  • the output module 133 may determine the suitability of the product for recommendation based on the results of the analysis module 132.
  • the output module 133 may be implemented based on a fully connected layer, for example, but the scope of the present disclosure is not limited thereto.
  • the last layer of the output module 133 may be implemented as a classification layer or a regression layer.
  • FIG. 14 An exemplary computing device capable of implementing devices (e.g., user terminal 11, service server 12) according to some embodiments of the present disclosure will be described with reference to FIG. 14.
  • FIG. 14 is an exemplary hardware configuration diagram showing the computing device 140.
  • the computing device 140 includes one or more processors 141, a bus 143, a communication interface 144, and a memory (loading) a computer program executed by the processor 141. 142) and a storage 145 for storing a computer program 146.
  • processors 141 the computing device 140 may further include various components in addition to those shown in FIG. 14 .
  • the computing device 140 may be configured with some of the components shown in FIG. 14 omitted.
  • each component of the computing device 140 will be described.
  • the processor 141 may control the overall operation of each component of the computing device 140.
  • the processor 141 may be a Central Processing Unit (CPU), Micro Processor Unit (MPU), Micro Controller Unit (MCU), Graphic Processing Unit (GPU), Neural Processing Unit (NPU), or any other device well known in the art of the present disclosure. It may be configured to include at least one of the following types of processors. Additionally, the processor 141 may perform operations on at least one application or program to execute operations/methods according to embodiments of the present disclosure.
  • Computing device 140 may include one or more processors.
  • memory 142 may store various data, commands and/or information.
  • Memory 142 may load a computer program 146 from storage 145 to execute operations/methods according to embodiments of the present disclosure.
  • the memory 142 may be implemented as a volatile memory such as RAM, but the technical scope of the present disclosure is not limited thereto.
  • bus 143 may provide communication functionality between components of computing device 140.
  • the bus 143 may be implemented as various types of buses, such as an address bus, a data bus, and a control bus.
  • the communication interface 144 may support wired and wireless Internet communication of the computing device 140. Additionally, the communication interface 144 may support various communication methods other than Internet communication. To this end, the communication interface 144 may be configured to include a communication module well known in the technical field of the present disclosure.
  • storage 145 may non-transitory store one or more computer programs 146.
  • the storage 145 may be a non-volatile memory such as Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), flash memory, a hard disk, a removable disk, or a device well known in the art to which this disclosure pertains. It may be configured to include any known type of computer-readable recording medium.
  • the computer program 146 may include one or more instructions that, when loaded into the memory 142, cause the processor 141 to perform operations/methods according to various embodiments of the present disclosure. That is, the processor 141 can perform operations/methods according to various embodiments of the present disclosure by executing the one or more instructions.
  • the computer program 146 includes the operation of providing a purchase list creation interface, the operation of receiving information about desired items from the user through the provided purchase list creation interface, and information about recommended products determined based on the input information. It may include one or more instructions to perform an operation that provides.
  • the user terminal 11 according to some embodiments of the present disclosure may be implemented through the computing device 140.
  • the computer program 146 receives information about the user's desired item from the user terminal 11, and determines a recommended product related to the desired item from among already registered products based on the received information. And it may include one or more instructions to perform an operation of providing information about recommended products to the user terminal 11.
  • the service server 12 according to some embodiments of the present disclosure may be implemented through the computing device 140.
  • the computing device 140 shown in FIG. 14 may mean a virtual machine implemented based on cloud technology.
  • the computing device 140 may be a virtual machine running on one or more physical servers included in a server farm.
  • the processor 141, memory 142, and storage 145 shown in FIG. 14 may be virtual hardware, and the communication interface 144 may also be a virtual switch, etc. It may be implemented as a virtualized networking element.
  • an exemplary computing device 140 capable of implementing devices (e.g., user terminal 11, service server 12) according to some embodiments of the present disclosure has been described with reference to FIG. 14.
  • a computer program recorded on a computer-readable recording medium can be transmitted to another computing device through a network such as the Internet, installed on the other computing device, and thus used on the other computing device.

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Abstract

L'invention concerne un procédé de fourniture de service d'achat ainsi que des dispositifs le prenant en charge. Selon certains modes de réalisation de la présente divulgation, le procédé de fourniture de service d'achat peut comprendre les étapes consistant à : fournir une interface de création de liste d'achat ; recevoir une entrée d'informations relatives à un article souhaité d'un utilisateur par le biais de l'interface de création de liste d'achat fournie ; et fournir les informations relatives à un produit recommandé déterminé d'après les informations entrées. Selon un tel procédé, un utilisateur du service d'achat peut bénéficier d'une plus grande commodité et le temps consacré à l'achat peut être considérablement réduit.
PCT/KR2023/001819 2022-11-29 2023-02-08 Procédé de fourniture de service d'achat et dispositifs prenant en charge celui-ci WO2024117385A1 (fr)

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US20040039661A1 (en) * 2002-08-26 2004-02-26 Jacquelyn Fuzell-Casey List-based selection system and methods for using same
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