Method and system for recommending product combinations

Abstract

A method for recommending product combinations according to an embodiment of the present disclosure is performed by a computing device and may comprise the steps of: generating product recommendation data for a user on the basis of a usage history of a target service by the user and a product sales history of the target service; determining a combination of at least two products among a plurality of products sold by a first seller on the basis of the product recommendation data; generating a first widget for displaying the determined combination; and rendering the first widget on a product sales page of the first seller.

Description

Product Combination Recommendation Method and System

[0001] The present disclosure relates to a method and system for recommending product combinations, and more specifically, to a method for recommending product combinations to a user who intends to purchase multiple products by reflecting both the user's individual preferences and the preferences of all users.

[0002] With the advancement of logistics services and communication infrastructure today, online product transactions are becoming increasingly active. These online transactions primarily take place through online shopping malls. Online shopping malls display detailed information about the products for sale on their web pages, and users decide whether to purchase based on this information. In particular, online food delivery services account for the largest share of online product transactions. While users sometimes order just one dish, it is also common for them to order two or more dishes at once. Currently, users add each item to their shopping cart and place a single order when ordering multiple dishes; however, if product combinations were recommended by store, users would be able to order multiple dishes more conveniently. Therefore, there is a need for a method in online food delivery services to recommend product combinations sold by store by considering both individual user preferences and the preferences of all users.

[0003] The technical problem to be solved through the embodiments of the present disclosure is to provide a method for recommending a combination of at least two products among a plurality of products provided by a vendor to a user in a food delivery service, by reflecting both the user's individual preferences and the preferences of all users.

[0004] In addition, the technical problem to be solved through the embodiments of the present disclosure is to provide a method for recommending a sales outlet that sells a combination of products by reflecting both the user's personal preference and the preferences of all users when a user enters two or more types of products as search terms.

[0005] A product combination recommendation method according to an embodiment of the present disclosure is performed by a computing device and may include the steps of: generating product recommendation data for a user based on the user's usage history of a target service and the product sales history of the target service; determining a combination of at least two products among a plurality of products sold by a first sales outlet based on the product recommendation data; generating a first widget for displaying the determined combination; and rendering the first widget on a product sales page of the first sales outlet.

[0006] In one embodiment, the target service usage history may include the user's purchase history for a plurality of products sold in the target service, and the product sales history may include information related to the combination of products included in a single order processed in the target service.

[0007] In one embodiment, the step of determining the combination may include the step of determining a first combination with the highest purchase frequency of the user, the step of determining a second combination with the highest cumulative sales ranking of the target service, and the step of determining a third combination with the highest cumulative sales ranking of the first sales outlet.

[0008] In one embodiment, the step of generating the first widget may include the step of obtaining the sales ranking of the first sales outlet corresponding to each of the first combination, the second combination, and the third combination during a preset period, and the step of sorting the first combination, the second combination, and the third combination in order of highest to lowest sales ranking and displaying them on the first widget.

[0009] In one embodiment, the step of determining the combination may include the step of determining the combination based on the time period when the user uses the target service.

[0010] In one embodiment, the step of determining the combination may include the step of automatically determining selectable options for products included in the combination based on the user's usage history of the target service.

[0011] In one embodiment, the step of creating the first widget may include, when there are two or more determined combinations, the step of classifying the combinations into multiple price ranges, and the step of creating a tab of the first widget to display the combinations according to the multiple classified price ranges.

[0012] In one embodiment, the step of generating the first widget may include the step of generating a thumbnail image corresponding to the determined combination of the first widget based on an image of a previously written review for the determined combination.

[0013] A product combination recommendation method according to another embodiment of the present disclosure is performed by a computing device and may include the steps of: generating product recommendation data for a user based on the user's usage history of a target service and the product sales history of the target service; receiving a search term including a first product and a second product from the user; rendering a search result page for displaying a plurality of sales outlets selling at least one of the first product and the second product based on the product recommendation data and the search term; determining a combination of the first product and the second product sold by the plurality of sales outlets; generating a first widget for displaying the determined combination; and rendering the first widget on the search result page.

[0014] In one embodiment, the step of determining the combination may include the step of determining the combination of the first product sold at the first sales outlet among the plurality of sales outlets and the second product sold at the second sales outlet.

[0015] A product combination recommendation system according to an embodiment of the present disclosure includes a processor and a memory for storing instructions, and when the instructions are executed by the processor, the processor may perform the following operations: generating product recommendation data for the user based on the user's usage history of the target service and the product sales history of the target service; determining a combination of at least two products among a plurality of products sold by a first sales outlet based on the product recommendation data; generating a first widget for displaying the determined combination; and rendering the first widget on a product sales page of the first sales outlet.

[0016] A product combination recommendation system according to another embodiment of the present disclosure includes a processor and a memory for storing instructions, and when the instructions are executed by the processor, the processor may perform the following operations: generating product recommendation data for the user based on the user's usage history of the target service and the product sales history of the target service; receiving a search term including a first product and a second product from the user; rendering a search result page for displaying a plurality of sales outlets selling at least one of the first product and the second product based on the product recommendation data and the search term; determining a combination of the first product and the second product sold by the plurality of sales outlets; generating a first widget for displaying the determined combination; and rendering the first widget on the search result page.

[0017] FIG. 1 is a block diagram showing the configuration of a shopping service providing system according to an embodiment of the present disclosure.

[0018] FIG. 2 illustrates an exemplary product sales page according to an embodiment of the present disclosure.

[0019] FIG. 3 illustrates an exemplary product detail page according to an embodiment of the present disclosure.

[0020] FIG. 4 illustrates an exemplary product option selection page according to an embodiment of the present disclosure.

[0021] FIG. 5 illustrates an exemplary product sales page according to another embodiment of the present disclosure.

[0022] FIG. 6 illustrates an exemplary product sales page according to another embodiment of the present disclosure.

[0023] FIG. 7 illustrates an exemplary search result page according to an embodiment of the present disclosure.

[0024] FIG. 8 illustrates an exemplary search result page according to another embodiment of the present disclosure.

[0025] FIG. 9 is a flowchart exemplarily illustrating a product combination recommendation method according to an embodiment of the present disclosure.

[0026] FIG. 10 is a flowchart illustrating an example of the steps of determining the combination of FIG. 9 and generating the first widget.

[0027] FIG. 11 is a flowchart illustrating another embodiment of the step of generating the first widget of FIG. 9.

[0028] FIG. 12 is a flowchart exemplarily illustrating a product combination recommendation method according to another embodiment of the present disclosure.

[0029] FIG. 13 is a block diagram showing the hardware configuration of a computing device for recommending product combinations according to an embodiment of the present disclosure.

[0030] Preferred embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. The advantages and features of the present disclosure and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the accompanying drawings. However, the present disclosure is not limited to the embodiments described below but may be implemented in various different forms. The embodiments are provided merely to make the present disclosure complete and to fully inform those skilled in the art of the scope of the invention, and the present disclosure is defined only by the scope of the claims.

[0031] It should be noted that when assigning reference numerals to the components of each drawing, the same components are given the same reference numeral whenever possible, even if they are shown in different drawings. Furthermore, in describing the present disclosure, if it is determined that a detailed description of related known components or functions could obscure the essence of the present disclosure, such detailed description is omitted.

[0032] Unless otherwise defined, all terms used herein (including technical and scientific terms) may be used in a meaning commonly understood by those skilled in the art to which this disclosure pertains. Furthermore, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless explicitly and specifically defined otherwise. The terms used herein are for describing embodiments and are not intended to limit the invention. In this specification, the singular form includes the plural form unless specifically stated otherwise in the text.

[0033] Additionally, terms such as first, second, A, B, (a), (b), etc., may be used to describe the components of the present disclosure. These terms are intended only to distinguish the components from other components, and the nature, order, or sequence of the components is not limited by the terms. Where it is stated that a component is "connected," "coupled," or "joined" to another component, it should be understood that the component may be directly connected or joined to the other component, but that another component may also be "connected," "coupled," or "joined" between each component.

[0034] As used in the specification, "comprises" and / or "comprising" do not exclude the presence or addition of one or more other components, steps, actions, and / or elements to the mentioned components, steps, actions, and / or elements.

[0035] FIG. 1 is a block diagram showing the configuration of a shopping service providing system (10) according to an embodiment of the present disclosure. Referring to FIG. 1, the shopping service providing system (10) may include a user terminal (100) and a service server (200).

[0036] A user terminal (100) may be a computing device used by a user to receive shopping services from a service server (200). As illustrated exemplarily in FIG. 1, the user terminal (100) may include a smartphone (100a), a desktop (100b), a laptop (100c), etc. However, the present disclosure is not limited thereto, and the user terminal (100) may be implemented as any device. In the following, any user terminal (e.g., 100a) or all user terminals (e.g., 100a to 100c) collectively will be denoted by reference numeral 100. The user terminal (100) may be referred to as a 'client terminal', a 'buyer / purchaser terminal', a 'consumer terminal', etc.

[0037] The service server (200) may refer to a computing device / system that provides shopping services. For example, the service server (200) may refer to a device / system (e.g., a shopping mall server) that provides an online shopping site or an online food ordering site. The service server (200) may provide shopping services or food delivery services for registered products.

[0038] Meanwhile, in the present disclosure, the service server (200) providing a specific page / screen to a user may mean rendering the specific page / screen on the screen of the user terminal (100) (e.g., the screen of a web browser or application running on the user terminal (100)). Accordingly, in the following specification, rendering a specific component will be understood as providing or displaying the corresponding specific component on the screen of the user terminal (100).

[0039] The following description of embodiments of the present disclosure is to assume that the service server (200) is a device / system that provides an online food ordering site to a user terminal (100), the target service is a food delivery service, the seller is a restaurant registered on the online food ordering site that provides food delivery services, and the product is a menu sold at the restaurant. However, it should be noted that the embodiments of the present disclosure are not limited thereto and can be applied in the same way to general online shopping services other than food delivery services.

[0040] The service server (200) can generate product recommendation data for the user based on the user's target service usage history and the target service's product sales history. For example, the user's target service usage history includes the user's purchase history for multiple products sold in the target service, and the product sales history may include information related to the combination of products included in a single order processed in the target service.

[0041] More specifically, the user's purchase history for multiple products sold in the target service may correspond to the user's order history for all of the multiple menus of multiple restaurants sold in the food delivery service provided by the service server (200). Additionally, the product sales history may correspond to the sales history of all of the multiple menus of multiple restaurants sold in the food delivery service provided by the service server (200). Therefore, the product recommendation data for the user may be the result of considering both the user's personal preferences and the preferences of all users of the food delivery service. For example, the product recommendation data for the user may be data in which the food to be recommended to the user is sorted in order of highest ranking.

[0042] The service server (200) can determine a combination of at least two products among a plurality of products sold by a first sales outlet based on such product recommendation data. Here, the first sales outlet may be one of the restaurants that provide food delivery services through the service server (200), and the plurality of products may correspond to a plurality of foods sold at the first sales outlet (restaurant). Therefore, a combination of at least two products among a plurality of products determined based on product recommendation data may correspond to a combination of at least two foods that users frequently order together at a single restaurant. For example, assuming the first sales outlet is an Italian restaurant, a combination of at least two products among the plurality of products may be {pizza, pasta} or {pizza, pasta, risotto}.

[0043] The combination of products determined in this way may be one or more depending on the case. In some embodiments, the service server (200) may determine a combination of products with the highest purchase frequency among a plurality of products sold by a first sales outlet (hereinafter referred to as the first combination), a combination of products with the highest cumulative sales ranking of the target service (hereinafter referred to as the second combination), and a combination of products with the highest cumulative sales ranking of the first sales outlet (hereinafter referred to as the third combination).

[0044] More specifically, the first combination corresponds to the combination of products most frequently ordered by the user at the first sales outlet, the second combination corresponds to the combination of products most frequently ordered by all users of the target service at all sales outlets (e.g., all Italian restaurants) that sell the same type of products as the first sales outlet, and the third combination corresponds to the combination of products most frequently ordered by all users of the target service at the first sales outlet. Therefore, the first to third combinations may correspond to the results of considering the user's individual preferences, the preferences of all users, and the preferences of all users at the first sales outlet.

[0045] In some other embodiments, the service server (200) may determine a combination of products based on the time period when the user uses the target service. For example, if the first sales outlet is a restaurant that provides a separate breakfast menu, the service server (200) may prioritize determining a combination that includes the breakfast menu when determining a combination of multiple products sold at the first sales outlet during a pre-set breakfast time period (e.g., from 6:00 AM to 10:00 AM). Alternatively, if the first sales outlet sells a specific food only during a specific time period, the service server (200) may determine a combination of multiple products using the remaining food, excluding the specific food, during the remaining time period other than the corresponding specific time period.

[0046] In another embodiment, the service server (200) can automatically determine selectable options for products included in a determined combination based on the user's target service usage history. For example, when ordering a sandwich or hamburger, the user may select options to add or exclude specific ingredients. In this case, if the service server (200) includes products in the determined combination for which options must be selected, and the user has a history of selecting a specific option among the selectable options for the same product, the specific option may be automatically selected in the same way for the same product included in the combination. Of course, the user may change the option later.

[0047] When a combination of products is determined in this way, the service server (200) can generate a first widget to display the determined combination. After that, the service server (200) can render the first widget on the product sales page of the first sales outlet displayed on the user terminal (100). Below, we will further examine embodiments related to the generation of the first widget.

[0048] In some embodiments, the service server (200) may obtain the sales ranking of the first sales outlet corresponding to each of the aforementioned first combination (a combination of products with the highest purchase frequency by users), second combination (a combination of products with the highest cumulative sales ranking of the target service), and third combination (a combination of products with the highest cumulative sales ranking of the first sales outlet) during a preset period. For reference, the cumulative sales ranking of the first sales outlet that serves as the standard for the third combination represents the sales ranking from the time the first sales outlet began providing services through the target service until the present, and this will be different from the sales ranking of the first sales outlet corresponding to each of the first combination, second combination, and third combination obtained during the aforementioned preset period. The service server (200) may sort the first combination, second combination, and third combination in order of highest to lowest sales ranking and display them on the first widget.

[0049] In some other embodiments, if there are two or more combinations of determined products, the service server (200) may classify the two or more combinations into multiple price ranges. The service server (200) may create a tab of a first widget to display the two or more combinations by the classified multiple price ranges. However, the present disclosure is not limited thereto, and in some other embodiments, a chip may be created to display by multiple price ranges instead of a tab, or the two or more combinations displayed on the first widget may be sorted according to price without the separate creation of a tab or a chip.

[0050] Meanwhile, the service server (200) can generate a thumbnail image corresponding to the determined combination of the first widget based on an image of a previously written review for the determined combination. However, in some cases, the service server (200) may use the thumbnail image of the product provided by the first sales outlet as is.

[0051] Up until now, we have examined embodiments in which a first widget is rendered to display a combination of recommended products on the product sales page of a first sales outlet. Meanwhile, in another embodiment, the service server (200) may respond to a user entering two or more products as search terms, search for a sales outlet that sells a combination of two or more corresponding products, and then display the searched sales outlet and the combination of products sold at that sales outlet. We will examine such embodiments in detail below.

[0052] The service server (200) can generate product recommendation data for the user based on the user's target service usage history and the target service's product sales history. The service server (200) can receive a search term including a first product and a second product from the user. After that, the service server (200) can render a search result page on the user terminal (100) to display multiple sales outlets selling at least one of the first product and the second product based on the product recommendation data and the search term.

[0053] The service server (200) can determine a combination of a first product and a second product sold by multiple sales outlets. At this time, the service server (200) may determine a combination of a first product and a second product sold at a single sales outlet, or a combination of a first product sold at a first sales outlet and a second product sold at a second sales outlet. The service server (200) may create a first widget to display the determined combination and render it on a search result page displayed on a user terminal (100). In some cases, instead of being rendered directly on the search result page, the first widget may be displayed in the form of a popup or nudge in response to a user's pre-set operation (e.g., long tap, mouse hovering, etc.) regarding the sales outlet displayed on the search result page.

[0054] The service server (200) may be implemented with at least one computing device. For example, all functions of the service server (200) may be implemented in a single computing device, or the first function of the service server (200) may be implemented in a first computing device and the second function may be implemented in a second computing device. Alternatively, specific functions of the service server (200) may be implemented in multiple computing devices. For example, the computing device may include all types of devices equipped with computation means and communication means.

[0055] The user terminal (100) can also perform various operations / functions to provide the shopping service described above. For example, the shopping service of the service server (200) can be provided through a web browser or application of the user terminal (100). For instance, the user terminal (100) can render a widget displaying a combination of recommended products on the screen of the web browser or application in conjunction with the service server (200).

[0056] As illustrated in FIG. 1, the user terminal (100) and the service server (200) can communicate through a network. For example, the network can be implemented as any type of wired or wireless network, such as a Local Area Network (LAN), a Wide Area Network (WAN), a mobile radio communication network, or Wibro (Wireless Broadband Internet).

[0057] Up to this point, with reference to FIG. 1, a shopping service provided by a user terminal (100) and a service server (200) according to some embodiments of the present disclosure has been described in a schematic manner. Hereinafter, a method for providing a shopping service according to some embodiments of the present disclosure will be described through a specific user interface displayed on the user terminal (100). For example, the user interface may be a screen displayed on an application running on the user terminal (100) or on a web browser.

[0058] FIG. 2 illustrates an exemplary product sales page (20) according to an embodiment of the present disclosure. Referring to FIG. 2, a first widget (21) is rendered on the product sales page (20). The first widget (21) includes a combination of multiple products, and reference numeral 22 corresponds to one of the combinations of multiple products. The combination (22) displays a product name, a price, and a thumbnail (23). As described with reference to FIG. 1, the thumbnail (23) may be generated based on a review image corresponding to the combination (22). The combination (22) consists of assorted sashimi and tenderloin cutlet, which is likely the result of considering the user's personal preference, the overall user preference, and the sales ranking of the retailer. When the user selects the combination (22), a product detail page is rendered, which is described with reference to FIG. 3.

[0059] FIG. 3 illustrates an exemplary product detail page (30) according to an embodiment of the present disclosure. Referring to FIG. 3, the product detail page (30) is a detail page corresponding to a combination (22) on a first widget rendered on the product sales page (20) of FIG. 2. Reference numeral 31 indicates that selectable options for assorted sashimi are automatically determined, which may be options selected by the user when previously ordering the same assorted sashimi from the same seller. When the option modification button is selected, a product option selection page is rendered, which is described with reference to FIG. 4.

[0060] FIG. 4 illustrates an exemplary product option selection page (40) according to an embodiment of the present disclosure. Referring to FIG. 4, an option such as reference numeral 31 of FIG. 3 is selected, and the user may select an option other than the automatically determined option on the product option selection page (40).

[0061] FIG. 5 illustrates an exemplary product sales page (20) according to another embodiment of the present disclosure. Referring to FIG. 5, it is shown that while the combination (22) of FIG. 2 contained two products, the combination (24) of FIG. 5 consists of three products (motsunabe, sirloin cutlet, and mini udon). As described with reference to FIG. 2, the product name, price, and thumbnail (25) of the combination (24) may be displayed on the first widget (21). When the user selects the combination (24), a product detail page is rendered, which will be the same as described with reference to FIG. 3 and FIG. 4.

[0062] FIG. 6 illustrates an exemplary product sales page (20) according to another embodiment of the present disclosure. Referring to FIG. 6, a tab (25) for classifying by price range is additionally shown, and a price range of 20,000 won to 40,000 won is shown selected. If the user selects a price range of less than 20,000 won, a combination of products having a price range of less than 20,000 won will be newly displayed on the first widget (21).

[0063] FIG. 7 illustrates an exemplary search result page (50) according to an embodiment of the present disclosure. Referring to FIG. 7, the search term "pork cutlet, sushi" is entered into the search area (51), and the searched sales outlets (52, 53) are displayed accordingly, and a first widget (54) displaying the corresponding combination is displayed. That is, FIG. 7 corresponds to an embodiment in which, unlike FIG. 2, FIG. 5, and FIG. 6 in which the first widget (21) is rendered on the product sales page (20), the first widget (54) is rendered on the search result page (50) in response to the user entering a search term into the search area (51). FIG. 7 illustrates a case where a combination of products sold at one sales outlet (52) is displayed on the first widget (54), and a case where a combination of products sold at each sales outlet (52, 53) is displayed on the first widget (54) will be described later with reference to FIG. 8.

[0064] FIG. 8 illustrates an exemplary search result page (50) according to another embodiment of the present disclosure. Referring to FIG. 8, a combination of assorted sashimi sold at the seller (52) and tenderloin cutlet sold at the seller (53) is displayed on the first widget (54), along with a message suggesting to order sushi from the seller (52) and pork cutlet from the seller (53) on the first widget (54).

[0065] FIG. 9 is a flowchart exemplarily illustrating a product combination recommendation method according to an embodiment of the present disclosure. For reference, FIG. 9 and FIG. 10 to FIG. 12, which will be described later, illustrate steps / operations of a product combination recommendation method performed at a user terminal (100). Therefore, in the following descriptions, if the subject of a specific step / operation is omitted, it can be understood as being performed at the user terminal (100). However, in an actual environment, some functions / operations of the user terminal (100) may be implemented on the service server (200) side, and some functions / operations of the service server (200) may be implemented on the user terminal (100) side. That is, the subject performing a specific step / operation may vary depending on the implementation method.

[0066] In step S100, product recommendation data for a user may be generated based on the user's usage history of the target service and the product sales history of the target service. For example, the usage history of the target service may include the user's purchase history for multiple products sold on the target service, and the product sales history may include information related to the combination of products included in a single order processed on the target service.

[0067] In step S200, a combination of at least two products among a plurality of products sold by a first sales outlet may be determined based on product recommendation data, and in step S300, a first widget for displaying the determined combination may be created. Then, in step S400, the first widget may be rendered on the product sales page of the first sales outlet. Various embodiments of steps S200 to S300 will be further examined below.

[0068] FIG. 10 is a flowchart illustrating an example of the step (S200) of determining the combination of FIG. 9 and the step (S300) of creating a first widget. Referring to FIG. 10, in step S210, a first combination with the highest purchase frequency of the user may be determined, in step S220, a second combination with the highest cumulative sales ranking of the target service may be determined, and in step S230, a third combination with the highest cumulative sales ranking of the first sales outlet may be determined. Then, in step S310, the sales ranking of the first sales outlet corresponding to each of the first combination, the second combination, and the third combination during a preset period may be obtained, and in step S320, the first combination, the second combination, and the third combination may be sorted in order of highest obtained sales ranking and displayed on the first widget.

[0069] FIG. 11 is a flowchart illustrating another embodiment of the step (S300) of creating the first widget of FIG. 9. Referring to FIG. 11, in step S330, if there are two or more determined combinations, the combinations may be classified into multiple price ranges, and in step S340, a tab of the first widget may be created to display the combinations by the classified multiple price ranges.

[0070] FIG. 12 is a flowchart illustrating an exemplary method for recommending product combinations according to another embodiment of the present disclosure. Referring to FIG. 12, at step S500, product recommendation data for a user may be generated based on the user's usage history of the target service and the product sales history of the target service, and at step S600, a search term including a first product and a second product may be entered by the user. At step S700, a search result page may be rendered to display a plurality of sales outlets selling at least one of the first product and the second product based on the product recommendation data and the search term. At step S800, a combination of the first product and the second product sold by the plurality of sales outlets may be determined. At step S900, a first widget may be generated to display the determined combination, and at step S1000, the first widget may be rendered on the search result page. Meanwhile, in determining the combination in step S800, a combination of the first product and the second product sold at one sales outlet may be determined, but in some cases, a combination of the first product sold at the first sales outlet and the second product sold at the second sales outlet may be determined.

[0071] FIG. 13 is a block diagram showing the hardware configuration of a computing device (500) for recommending product combinations according to an embodiment of the present disclosure.

[0072] Referring to FIG. 13, a computing device (500) may include one or more processors (510), a bus (530), a communication interface (540), a memory (520) for loading a computer program executed by the processor (510), and a storage (550) for storing a computer program (560). However, FIG. 13 illustrates only the components related to the embodiments of the present disclosure. Therefore, a person skilled in the art to which the present disclosure belongs will understand that other general-purpose components may be included in addition to the components illustrated in FIG. 13. That is, the computing device (500) may include various additional components in addition to the components illustrated in FIG. 13. Furthermore, depending on the case, the computing device (500) may be configured in a form in which some of the components illustrated in FIG. 13 are omitted. Hereinafter, each component of the computing device (500) will be described.

[0073] The processor (510) can control the overall operation of each component of the computing device (500). The processor (510) may be configured to include at least one of a CPU (Central Processing Unit), MPU (Micro Processor Unit), MCU (Micro Controller Unit), GPU (Graphic Processing Unit), or any form of processor well known in the art of the present disclosure. Additionally, the processor (510) may perform operations for at least one application or program for executing operations / methods according to embodiments of the present disclosure. The computing device (500) may have one or more processors.

[0074] Next, the memory (520) may store various data, commands and / or information. The memory (520) may load a computer program (560) from the storage (550) to execute an operation / method according to the embodiments of the present disclosure. The memory (520) may be implemented as a volatile memory such as RAM, but the present disclosure is not limited thereto.

[0075] Next, the bus (530) can provide communication functions between components of the computing device (500). The bus (530) can be implemented as various types of buses, such as an address bus, a data bus, and a control bus.

[0076] Next, the communication interface (540) may support wired and wireless internet communication of the computing device (500). Additionally, the communication interface (540) may support various communication methods other than internet communication. To this end, the communication interface (540) may be configured to include a communication module well known in the art of the present disclosure.

[0077] Next, the storage (550) may store one or more computer programs (560) non-temporarily. The storage (550) may be configured to include non-volatile memory such as ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), flash memory, a hard disk, a removable disk, or any form of computer-readable recording medium well known in the art to which this disclosure belongs.

[0078] Next, the computer program (560) may include one or more instructions that cause the processor (510) to perform an operation / method according to various embodiments of the present disclosure when loaded into memory (520). That is, the processor (510) may perform an operation / method according to various embodiments of the present disclosure by executing one or more loaded instructions.

[0079] For example, the computer program (560) may include instructions to perform the following actions: generating product recommendation data for a user based on the user's target service usage history and the target service's product sales history; determining a combination of at least two products among a plurality of products sold by a first sales outlet based on the product recommendation data; generating a first widget to display the determined combination; and rendering the first widget on the product sales page of the first sales outlet.

[0080] Additionally, the computer program (560) may include instructions for performing the following operations: generating product recommendation data for a user based on the user's usage history of the target service and the product sales history of the target service; receiving a search term including a first product and a second product from the user; rendering a search result page for displaying a plurality of sales outlets selling at least one of the first product and the second product based on the product recommendation data and the search term; determining a combination of the first product and the second product sold by the plurality of sales outlets; creating a first widget for displaying the determined combination; and rendering the first widget on the search result page.

[0081] According to an embodiment of the present disclosure, a combination of products reflecting both the individual preferences of the user and the preferences of all users is displayed on the product sales page, thereby allowing the user of the online food delivery service to easily identify the combination of highly preferred food and place an order immediately. Furthermore, according to an embodiment of the present disclosure, when a user enters a search term containing two or more products, a vendor selling a combination of products corresponding to the search term is recommended, or a combination of different products from two or more vendors is recommended, thereby allowing the user of the online food delivery service to identify a wider range of recommended combinations on the search results page and place an order immediately.

[0082] Various embodiments of the present disclosure and effects according to those embodiments have been described with reference to FIGS. 1 to 13. The effects according to the technical concept of the present disclosure are not limited to those described above, and other unmentioned effects will be clearly understood by a person skilled in the art from the description below.

[0083] In the foregoing, although all components constituting an embodiment of the present disclosure have been described as being combined or operating together, the present disclosure is not necessarily limited to such embodiments. That is, within the scope of the purpose of the present disclosure, all components may be selectively combined and operated in one or more ways.

[0084] Although operations are depicted in a specific order in the drawings, it should not be understood that the operations must necessarily be executed in the specific order depicted or in a sequential order, or that all depicted operations must be executed to obtain the desired result. In certain situations, multitasking and parallel processing may be advantageous. Furthermore, the separation of various configurations in the embodiments described above should not be understood as necessarily required, and it should be understood that the described program components and systems can generally be integrated together into a single software product or packaged into multiple software products.

[0085] Although embodiments of the present disclosure have been described above with reference to the attached drawings, those skilled in the art will understand that the present disclosure may be implemented in other specific forms without altering its technical concept or essential features. Therefore, the embodiments described above should be understood as illustrative in all respects and not restrictive. The scope of protection of the present disclosure shall be interpreted by the claims below, and all technical concepts within the equivalent scope shall be interpreted as being included within the scope of rights of the present disclosure.

Claims

1. In a product combination recommendation method performed by a computing device, A step of generating product recommendation data for the user based on the user's usage history of the target service and the product sales history of the target service; A step of determining a combination of at least two products among a plurality of products sold by a first sales outlet based on the above product recommendation data; A step of generating a first widget for displaying the above-determined combination; and A step comprising rendering the first widget on the product sales page of the first sales outlet, Product combination recommendation method.

2. In Paragraph 1, The usage history of the above-mentioned target service includes the user's purchase history for multiple products sold in the above-mentioned target service, and The above product sales history is characterized by including information related to the combination of products included in a single order processed by the above target service. Product combination recommendation method.

3. In Paragraph 1, The step of determining the above combination is: A step of determining the first combination with the highest purchase frequency of the above user; A step of determining the second combination with the highest cumulative sales ranking of the above target service; and A step including determining the third combination with the highest cumulative sales ranking of the first sales outlet, Product combination recommendation method.

4. In Paragraph 3, The step of creating the first widget above is: A step of obtaining the sales ranking of the first sales outlet corresponding to each of the first combination, the second combination, and the third combination during a preset period; and A method comprising the step of sorting the first combination, the second combination, and the third combination in order of highest to lowest sales ranking obtained above and displaying them on the first widget. Product combination recommendation method.

5. In Paragraph 1, The step of determining the above combination is, A method comprising the step of determining the combination based on the time period when the user uses the target service. Product combination recommendation method.

6. In Paragraph 1, The step of determining the above combination is, A step comprising automatically determining selectable options for products included in the combination based on the user's usage history of the target service, Product combination recommendation method.

7. In Paragraph 1, The step of generating the first widget above is, If there are two or more combinations determined above, a step of classifying the combinations into multiple price ranges; and A step comprising creating a tab of the first widget for displaying the above combination by the above classified plurality of price ranges, Product combination recommendation method.

8. In Paragraph 1, The step of generating the first widget above is, A step comprising generating a thumbnail image corresponding to the determined combination of the first widget based on an image of a previously written review for the determined combination, Product combination recommendation method.

9. In a product combination recommendation method performed by a computing device, A step of generating product recommendation data for the user based on the user's usage history of the target service and the product sales history of the target service; A step of receiving a search term including a first product and a second product from the above user; A step of rendering a search result page to display a plurality of sales outlets selling at least one of the first product and the second product based on the product recommendation data and the search term; A step of determining a combination of the first product and the second product sold by the plurality of sales outlets; A step of generating a first widget for displaying the above-determined combination; and A step comprising rendering the first widget on the search result page, Product combination recommendation method.

10. In Paragraph 9, The step of determining the above combination is, A method comprising the step of determining a combination of the first product sold at the first sales outlet among the plurality of sales outlets and the second product sold at the second sales outlet. Product combination recommendation method.

11. Processor; and It includes memory for storing instructions, When the above instructions are executed by the processor, the processor, An operation to generate product recommendation data for said user based on the user's usage history of the target service and the product sales history of said target service; An operation to determine a combination of at least two products among a plurality of products sold by a first sales outlet based on the above product recommendation data; The operation of generating a first widget for displaying the above-determined combination; and Performing the operation of rendering the above-mentioned first widget on the product sales page of the above-mentioned first sales outlet, Product combination recommendation system.

12. Processor; and It includes memory for storing instructions, When the above instructions are executed by the processor, the processor, An operation to generate product recommendation data for said user based on the user's usage history of the target service and the product sales history of said target service; An operation of receiving a search term including the first product and the second product from the above user; An operation of rendering a search result page to display a plurality of sales outlets selling at least one of the first product and the second product based on the above product recommendation data and the above search term; An operation to determine a combination of the first product and the second product sold by the plurality of sales outlets; The operation of generating a first widget for displaying the above-determined combination; and Performing the operation of rendering the above-mentioned first widget on the above-mentioned search result page, Product combination recommendation system.

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