Electronic device and operation method for generating and providing product information

Abstract

A method according to various embodiments of the present disclosure may include the steps of: determining whether a query product corresponding to a product search query matches a purchase completed product included in purchase log data; if the query product matches the purchase completed product, generating first purchase completed product data corresponding to the matched purchase completed product; and if the query product does not match the purchase completed product, generating first recommended product data corresponding to a first recommended product on the basis of at least one of the query product, the purchase log data, and user preference data.

Description

Electronic device for generating and providing product information and its operating method

[0001] The present disclosure relates to an electronic device for generating and providing product information and an operating method thereof.

[0002] Online commerce is an innovative system that, with the advancement of digital technology, has revolutionized the way we purchase products and services online. Unlike traditional offline stores, online commerce platforms offer consumers worldwide greater convenience and a wider selection of products, while also providing sellers with direct access to a broad customer base. This technology, which began in the mid-1990s, has undergone continuous development and innovation to date, and is now leading the global online commerce industry.

[0003] In line with this trend, various companies are creating and providing online commerce platforms to users, and are developing various technologies for user convenience to increase the number of users on these platforms.

[0004] According to various embodiments of the present disclosure, a technical problem is to provide information on products purchased by a user (e.g., information on frequently purchased products) on an online commerce platform.

[0005] According to various embodiments of the present disclosure, a technical task is to provide information on products that a user has completed purchasing based on search terms.

[0006] According to various embodiments of the present disclosure, a technical challenge is to recommend another product even if the product searched by the user is not in the list of products purchased.

[0007] According to various embodiments of the present disclosure, a technical problem is to provide not only a purchased product corresponding to a search term among purchased products, but also a recommended product corresponding to the search term.

[0008] The technical problems of the present disclosure are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art of the present disclosure from the description below.

[0009] According to one embodiment, a method for generating product information performed by an electronic device may include: determining whether a query product corresponding to a product search query matches a purchased product included in purchase log data; generating first purchased product data corresponding to the matching purchased product if the query product matches the purchased product; and generating first recommended product data corresponding to a first recommended product based on at least one of the query product, the purchase log data, and the user preference data if the query product does not match the purchased product.

[0010] In one embodiment, the method may further include a step of determining whether the order information of the matching purchased product includes another purchased product.

[0011] According to one embodiment, the step of determining whether the order information of the matching purchased product includes another purchased product may include, if another purchased product is included, the step of generating second purchased product data corresponding to the other purchased product; and, if another purchased product is not included, the step of generating second recommended product data corresponding to the second recommended product based on the query product.

[0012] According to one embodiment, the method may further include, when receiving a selection input for a matching purchased product, a step of generating product data including the matching purchased product and the purchased product excluding the matching purchased product, wherein the product data includes a display ranking of the products.

[0013] The step of generating product data according to one embodiment may include a step of generating product data that is displayed in the order of completed purchase products having the same product name as the query product and products belonging to the same product category as the query product, among matching completed purchase products.

[0014] In one embodiment, the display order of products may be determined based on the purchase date and product characteristics of the products.

[0015] According to one embodiment, the display order of a product may be set so that the more recent the purchase date of the product, the higher the display order.

[0016] Product characteristics according to one embodiment may include at least one of product-specific characteristics, brand, region, unit price, delivery type, or average delivery time.

[0017] A product search query according to one embodiment is a query generated based on text data entered through a search window included in a screen displaying purchase log data, and can be received from a terminal displaying a screen displaying purchase log data.

[0018] The step of determining whether a query product and a purchased product match according to one embodiment may include a step of determining whether the product name of the query product and the product name of the purchased product are identical; and a step of determining whether the product category of the query product and the product category of the purchased product are identical.

[0019] User preference data according to one embodiment may include at least one of the user's brand preference, region preference, unit price preference, delivery type preference, and average delivery time preference.

[0020] The step of generating first recommended product data according to one embodiment may further include the step of determining the first recommended product based on search log data and purchase log data of other users, and generating first recommended product data corresponding to the first recommended product.

[0021] In another embodiment, an electronic device includes a processor; and a memory storing instructions configured to be executed by the processor, wherein the processor determines whether a query product corresponding to a product search query matches a purchased product included in purchase log data, and if the query product matches the purchased product, generates first purchased product data corresponding to the matched purchased product, and if the query product does not match the purchased product, generates first recommended product data corresponding to the first recommended product based on at least one of the query product, the purchase log data, and the user preference data.

[0022] In another embodiment, a non-transitory computer-readable recording medium having recorded thereon a computer program to be executed by a processor, the computer program may be configured to cause the processor to determine whether a query product corresponding to a product search query matches a purchased product included in purchase log data, and, if the query product matches the purchased product, generate first purchased product data corresponding to the matched purchased product, and, if the query product does not match the purchased product, generate first recommended product data corresponding to the first recommended product based on at least one of the query product, the purchase log data, and the user preference data.

[0023] According to various embodiments of the present disclosure, by entering a search word on a screen where a purchased product is displayed and displaying a purchased product corresponding to the search word on the screen, a user can easily and quickly purchase a purchased product on the screen where a purchased product is displayed.

[0024] According to various embodiments of the present disclosure, on a screen where purchased products are displayed, not only purchased products corresponding to a search term but also recommended products corresponding to the search term are displayed, so that a user can purchase not only purchased products but also other products without having to move to another screen to search for products.

[0025] According to various embodiments of the present disclosure, even if there are no purchased products corresponding to the search term, the user can continue to perform online shopping on a screen where purchased products are displayed without switching screens by displaying recommended products corresponding to the search term.

[0026] The effects according to the technical idea of ​​the present disclosure are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the specification.

[0027] FIG. 1 is a diagram illustrating a system according to various embodiments of the present disclosure.

[0028] FIG. 2 is a block diagram illustrating an electronic device according to various embodiments of the present disclosure.

[0029] FIG. 3 is a flowchart illustrating a method for providing product information according to various embodiments of the present disclosure.

[0030] FIGS. 4A to 4C are diagrams for explaining product information provided when a product corresponding to a product search query and a purchased product are matched according to various embodiments of the present disclosure.

[0031] FIG. 5 is a diagram for explaining product information provided when a product corresponding to a product search query and a purchased product do not match according to various embodiments of the present disclosure.

[0032] FIG. 6 is a flowchart illustrating the operation of an electronic device according to various embodiments of the present disclosure.

[0033] The embodiments of this disclosure are provided for the purpose of illustrating the technical concepts of this disclosure. The scope of rights under this disclosure is not limited to the embodiments presented below or the specific descriptions of these embodiments.

[0034] All technical and scientific terms used in this disclosure, unless otherwise defined, have the meanings commonly understood by those of ordinary skill in the art to which this disclosure pertains. All terms used in this disclosure have been selected for the purpose of more clearly explaining this disclosure and are not intended to limit the scope of rights under this disclosure.

[0035] Expressions such as “including,” “comprising,” “having,” and the like used in this disclosure should be understood as open-ended terms that imply the possibility of including other embodiments, unless otherwise stated in the phrase or sentence in which the expression is included.

[0036] The singular forms described in this disclosure may include plural meanings unless otherwise stated, and the same applies to the singular forms described in the claims.

[0037] The expressions “first,” “second,” etc. used in this disclosure are used to distinguish between multiple components, and do not limit the order or importance of the components.

[0038] The term "unit" as used herein refers to software or hardware components such as field-programmable gate arrays (FPGAs) and application specific integrated circuits (ASICs). However, "units" are not limited to hardware and software. "Units" may be configured to reside on an addressable storage medium, and may be configured to execute one or more processors. Thus, by way of example, "units" include components such as software components, object-oriented software components, class components, and task components, as well as processors, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functionality provided within a component and "unit" may be combined into a smaller number of components and "units" or further separated into additional components and "units."

[0039] The expression "based on" as used in this disclosure is used to describe one or more factors that influence the decision, act of judgment, or action described in the phrase or sentence containing the expression, and this expression does not exclude additional factors that influence the decision, act of judgment, or action.

[0040] In this disclosure, when a component is referred to as being "connected" or "connected" to another component, it should be understood that the component can be directly connected or connected to the other component, or can be connected or connected via a new other component.

[0041] Hereinafter, embodiments of the present disclosure will be described with reference to the attached drawings. In the attached drawings, identical or corresponding components are assigned the same reference numerals. Furthermore, in the description of the embodiments below, redundant descriptions of identical or corresponding components may be omitted. However, even if a description of a component is omitted, it is not intended that such component is not included in any embodiment.

[0042] Figure 1 illustrates an environment in which an electronic device according to one embodiment of the present disclosure can be applied. An electronic device (110) and a user terminal (120, hereinafter referred to as a "terminal") are connected via a network and can communicate with each other. The electronic device (110) may be a server or a different terminal from the terminal (120).

[0043] The terminal (120) may be implemented as a terminal capable of transmitting and receiving various information to and from the electronic device (110) via a network. For example, the terminal (120) may be one of a computer, a laptop, a portable communication terminal (such as a smartphone), a portable multimedia device, a wearable device, or an HMD. However, the type of the terminal (120) is not limited thereto, and the terminal (120) may be any device that includes an input / output interface capable of receiving information from a user or outputting information to a user, and that can communicate with the electronic device (110) or other devices via a network. The terminal (120) may provide information received from the electronic device (110) to the user, and may receive input from the user and transmit it to the electronic device (110). The input obtained from the user may include various forms of input, such as a click using a mouse, a touch using a touchpad or a touch screen, voice recognition, or other electronic input.

[0044] A network may serve to connect an electronic device (110) and a terminal (120) or other external device. For example, the network may provide a connection path so that the terminal (120) can be connected to the electronic device (110) and transmit and receive packet data with the electronic device (110). The network may 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).

[0045] FIG. 2 is a block diagram of an electronic device according to an embodiment of the present disclosure. In one embodiment, the electronic device (200) may be a server or a terminal. In one embodiment, the electronic device (200) may include a communication circuit (210), one or more processors (220), and / or one or more memories (230) as components. In one embodiment, at least one of the components of the electronic device (200) may be omitted, or another component may be added to the electronic device (200). In one embodiment, additionally or alternatively, some of the components may be implemented in an integrated manner, or may be implemented as a single or multiple entities. In the present disclosure, one or more processors (220) may be expressed as a processor (220). The expression “processor (220)” may mean a set of one or more processors, unless the context clearly indicates otherwise. In the present disclosure, one or more memories (230) may be expressed as a memory (230). The expression "memory (230)" may mean a set of one or more memories, unless the context clearly indicates otherwise. In one embodiment, at least some of the components inside / outside the electronic device (200) may be connected to each other via a bus, a General Purpose Input / Output (GPIO), a Serial Peripheral Interface (SPI), or a Mobile Industry Processor Interface (MIPI), and may exchange information (data, signals, etc.).

[0046] The communication circuit (210) can communicate with the user's terminal and an external device. The communication circuit (210) can perform wireless or wired communication between the electronic device (200) and the terminal. For example, the communication circuit (210) can perform wireless communication according to a method such as eMBB (enhanced Mobile Broadband), URLLC (Ultra Reliable Low-Latency Communications), MMTC (Massive Machine Type Communications), LTE (Long-Term Evolution), LTE-A (LTE Advance), NR (New Radio), UMTS (Universal Mobile Telecommunications System), GSM (Global System for Mobile communications), CDMA (Code Division Multiple Access), WCDMA (Wideband CDMA), WiBro (Wireless Broadband), WiFi (Wireless Fidelity), Bluetooth (Bluetooth), NFC (Near Field Communication), GPS (Global Positioning System), or GNSS (Global Navigation Satellite System). For example, the communication circuit (210) may perform wired communication according to a method such as Universal Serial Bus (USB), High Definition Multimedia Interface (HDMI), Recommended Standard-232 (RS-232), or Plain Old Telephone Service (POTS). In one embodiment, the electronic device (200) may be implemented by being integrated with another device. In this case, the communication circuit (210) may function as a connection circuit or interface connecting the electronic device (200) and the other device.

[0047] The processor (220) can control at least one component of the electronic device (200) connected to the processor (220) by running software (e.g., commands, programs, etc.). In addition, the processor (220) can perform various operations related to the present disclosure, such as calculations, processing, data generation, and processing. In addition, the processor (220) can load data from the memory (230) or store data in the memory (230). Furthermore, the processor (220) can transmit and receive various information with the user's terminal and external devices through the communication circuit (210). In one embodiment, the processor (220) can control the communication circuit (210) to transmit various information, such as information on various pages, to the user's terminal.

[0048] The memory (230) can store various information (data). The information stored in the memory (230) is information acquired, processed, or used by at least one component of the electronic device (200), and may include software (e.g., commands, programs, etc.). The memory (230) may include volatile and / or non-volatile memory. In the present disclosure, the commands or programs are software stored in the memory (230), and may include an operating system for controlling the resources of the electronic device (200), an application, and / or middleware for providing various functions to the application so that the application can utilize the resources of the electronic device (200). In one embodiment, the memory (230) may store commands that, when executed by the processor (220), cause the processor (220) to perform operations. The memory (230) may store at least a portion of information received from the terminal via the communication circuit (210) and / or information transmitted to the terminal via the communication circuit (210). The processor (220) can store at least a portion of information received from the terminal through the communication circuit (210) and / or information transmitted to the terminal through the communication circuit (210) in the memory (230).

[0049] Hereinafter, the operations described as being performed by the electronic device in FIGS. 3 to 6 can be understood as being performed by the processor (220) of the electronic device (200) described in FIG. 2.

[0050] Although the process steps, method steps, algorithms, etc., are described in a sequential order in the schematics and flowcharts illustrated in FIGS. 3 and 6, such processes, methods, and algorithms may be configured to operate in any suitable order. In other words, the steps of the processes, methods, and algorithms described in various embodiments of the present disclosure need not be performed in the order described herein. Furthermore, even if some steps are described as being performed asynchronously, in other embodiments, such some steps may be performed concurrently. Furthermore, the illustration of a process by depiction in the drawings does not imply that the illustrated process excludes other variations and modifications thereof, nor does it imply that the illustrated process or any of its steps is essential to one or more of the various embodiments of the present disclosure, nor does it imply that the illustrated process is preferred.

[0051] FIG. 3 is a flowchart illustrating a method for providing product information according to various embodiments of the present disclosure.

[0052] According to one embodiment, a processor (220) may receive (310) a product search query from a terminal. The processor (220) may be one or more processors included in a server. The product search query may be a query generated based on a search term entered by a user on the terminal. The search term may be entered through a search window displayed on the terminal screen. An online shopping mall application may include various screens. For example, it may include an online shopping mall home screen, a search result product display screen, an account information display screen, a purchase log data display screen, etc. The types of screens described above are merely examples, and the present disclosure is not limited thereto. In addition, a search window may be displayed on each screen.

[0053] For example, referring to FIG. 4A, the screen (400) may be a purchase log data display screen. The purchase log data display screen may display a list of products purchased by an account. The purchase log data display screen may display a search window (410). When a user enters a search term in the search window (410), the terminal may generate a product search query based on the search term and transmit it to the server. The processor (220) included in the server may receive (310) the product search query.

[0054] For another example, the terminal may receive a search term from the user through a search box displayed on a screen other than the purchase log data display screen. For example, the terminal may receive the search term through a search box displayed on the home screen. The server may receive a product search query based on the search term and transmit product search result data to the terminal. The product search result data may include data related to a queried product corresponding to the product search query among the purchased products included in the purchase log data. Accordingly, the product search result screen may display at least some of the purchased products included in the purchase log data. For example, if the user selects a purchased product on the product search result screen, the product search result screen may switch to the purchase log data display screen. The purchase log data display screen may display (1) purchased products with the same product name as the queried product, (2) products belonging to the same product category as the queried product, or (3) purchased products excluding matching purchased products (e.g., products (1) and (2)). Referring to Fig. 4a, a search can be performed through a search box displayed on the home screen, and "A Milk" can be selected from the displayed product search results screen. Then, the terminal screen can be switched from the product search results screen to the purchase log data screen (400). The purchase log data screen (400) can display (1) purchased products (420) having the same product name as the queried product, (2) products (421, 422, 423) having different product names but the same product category of "Milk," and (3) products (424) among purchased products having different product names and different product categories.

[0055] In one embodiment, the processor (220) may determine the display order of products. By determining the display order, products that users are more likely to purchase may be displayed at the top of the screen, thereby guiding users to easily select and purchase products. As the display order is set higher, products with higher display orders among multiple products may be positioned on the left and / or top of the screen. For example, the processor (220) may set the display order in the following order: products with the same name as the query product, products with different names but the same product category, and products with different product categories. For example, the processor (220) may set the display order for products with the same name as the query product to be displayed higher than products with different names but the same product category. For example, a product (420) with the same product name as the query product may be displayed in the upper left corner, and products (421, 422, 423) with different product names but the same product category may be displayed subsequently. When two or more products are positioned at the same height on the screen, products positioned further to the left than to the right may receive a higher display priority. Furthermore, products positioned further down the screen may receive a lower display priority.

[0056] In one embodiment, the display ranking of a product may be determined based on the purchase date and product characteristics. The purchase date is included in the purchase log data and may be the date a specific product was purchased. For example, the purchase date may be the date payment for a specific product was completed. In one embodiment, the display ranking of a product may be set so that the more recent the purchase date, the higher the display ranking. Products purchased more recently may be more likely to be undesirable for the user. Conversely, products purchased recently and repurchased may be more likely to be consistently purchased by the user. Therefore, the processor (220) may set the display ranking so that the more recent the purchase date, the higher the display ranking.

[0057] Product characteristics may include at least one of the following: product-specific characteristics, brand, region, unit price, delivery type, or average delivery time. Product-specific characteristics stem from the inherent nature of the product. For example, a product-specific characteristic may include the expiration date for fresh produce. Another example could be the scent emanating from the product. A brand may be the name of the individual or organization that manufactures or sells the product. A region may include at least one of the following: the place of origin, the region where the product was processed, the region where the product was sold, or a designation indicating regional characteristics (e.g., a wine that is not made in the Bordeaux region but is made in the Bordeaux style, where the region is used in the product name to indicate regional characteristics). A unit price may be the price per unit that determines the price of a product. For example, the unit price of beef may be 10,000 won per 100g. A delivery type refers to the delivery method for a product. Examples include standard delivery, expedited delivery, fresh produce delivery, and international delivery. Expedited shipping can be a type of delivery that has a shorter average delivery time than Japanese shipping and can be completed within a guaranteed timeframe (e.g., one day). Fresh food delivery can be a type of delivery where products are packaged to maintain freshness for fresh food delivery. International shipping can be a type of delivery where products traded overseas are imported into Korea and delivered to customers. The average delivery time can be the average time it takes to deliver a specific product. For example, the processor (220) can determine the display ranking based on the user's preferred brand. There may be multiple brands that manufacture and sell "milk." A user may prefer milk brands in the following order: Brand A, Brand B, and Brand C. The processor (220) can determine user preferences based on the user preference data described below.Accordingly, if a user has a history of purchasing milk from Brand A, Brand B, and Brand C, and prefers products in the order of Brand A, Brand B, and Brand C milk, the processor (220) can generate product data that displays milk from Brand A, Brand B, and Brand C in the order of products purchased.

[0058] According to one embodiment, the processor (220) may determine (320) whether a query product corresponding to a product search query matches at least one purchased product. The purchased product may be a product included in purchase log data. The purchase log data may include information related to products purchased by the user. Through this, the processor (220) can identify the query product among the purchased products. For example, if the query product is "A Milk," the processor (220) can identify whether "A Milk" exists among the purchased products.

[0059] Hereinafter, a specific description of the operation of "determining whether there is a match" is described. According to one embodiment, the processor (220) may determine whether the product name of the queried product corresponding to the product search query is the same as the product name of at least one purchased product. For example, if the product name of the queried product corresponding to the product search query is "30 eggs from Brand A," the processor (220) may identify the purchased product whose product name is "30 eggs from Brand A" among the purchased products. According to another embodiment, the processor (220) may determine whether the product category of the queried product corresponding to the product search query is the same as the product category of at least one purchased product. For example, if the product category of the queried product corresponding to the product search query is "kitchen towel," the processor (220) may identify another purchased product whose product category is the same as "kitchen towel" even if the product name is different. By providing the user with purchase completion data not only when the product name is the same as the queried product but also when the product category is the same, the processor (220) can induce the user to make a quick purchase by providing another purchased product that the user is more likely to purchase even when the product name is the same as the queried product is out of stock.

[0060] According to one embodiment, the processor (220) may generate (330) first purchased product data corresponding to the purchased product matching the query product corresponding to the product search query when the query product corresponding to the product search query matches at least one purchased product (321). The first purchased product data may include information related to at least one purchased product matching the query product corresponding to the product search query. The processor (220) may transmit the first purchased product data to a terminal. The terminal may receive the first purchased product data and display at least one purchased product included in the first purchased product data on a screen. For example, referring to FIG. 4B, the query product corresponding to the product search query may be "A Milk." The product (430) may be a purchased product having the same product name as the query product corresponding to the product search query, "A Milk 2L." Product (431) may be a purchased product with the same product category as “Milk” as the query product “A Milk 2L” corresponding to the product search query, but with a different milk capacity and product name “A Milk 1L.”

[0061] In one embodiment, the processor (220) may determine (350) whether the order information for a matching purchased product includes other purchased products. Order information may be generated for each unit ordered by the user, and each order information may include at least one product. While shopping through an online commerce platform, the user may add the product to a list of products to be purchased (e.g., a shopping cart). Payment may be made based on the list of products to be purchased, and the processor (220) may generate order information through the payment. Multiple products included in a single order information may be products that the user is likely to purchase together. For example, if a user frequently orders cereal with milk, and searches for milk or adds milk to the list of products to be purchased, the user may be more likely to purchase cereal as well. Therefore, the processor (220) may enhance the user's purchasing convenience by providing the user with not only the product being queried, but also previously purchased products that the user has purchased together with the product being queried.

[0062] According to one embodiment, if the order information includes another purchased product (351), the processor (220) may generate second purchased product data corresponding to the other purchased product (360). The second purchased product data may include information related to other purchased products included in the same order information. The second purchased product data may include a display ranking of other purchased products that are highly related to the queried product. The processor (220) may determine the display ranking of other purchased products in order of the user's high likelihood of purchase. Referring to FIG. 4B, product (440) may be a product included in the second purchased product data. For example, in the past, a user may have ordered a cereal product (440) along with a milk product (430). In this case, both product (430) and product (440) may be included in a single order. The processor (220) can induce the user to purchase another purchased product (440) included in one order information by providing the user with both the product (430) corresponding to the inquired product and another purchased product (440) included in the order information.

[0063] According to one embodiment, the processor (220) may generate (370) second recommended product data corresponding to a second recommended product based on the query product if the order information does not include other purchased products (352). The case where the order information does not include other purchased products may be that the order information only contains purchased products that match the query product. In this case, the processor (220) may not be able to provide the user with other purchased products purchased together with the purchased products matching the query product. Therefore, the processor (220) may determine at least one second recommended product based on the query product. Furthermore, the processor (220) may generate second recommended product data corresponding to at least one second recommended product. The second recommended product may be a product that is likely to be purchased together with the query product. The processor (220) may derive a correlation between the query product and other purchased products included in the same order information based on purchase log data of other users. Based on the correlation, the processor (220) may determine a second recommended product that is likely to be purchased together with the query product. For example, users may tend to purchase shampoo and conditioner together. The processor (220) can identify this tendency based on purchase log data from other users. If the query product is "A shampoo," the processor (220) may determine the second recommended product as "B conditioner," "C conditioner," etc. By determining the second recommended product as a product likely to be purchased together with the query product, the processor (220) can encourage the user to purchase not only the query product but also other products likely to be purchased together with the query product.

[0064] Referring to FIG. 4c, screen (402) may be a screen for cases where the order information for a matching purchased product does not include other purchased products. Screen (402) may display a product (450) included in the first purchased product data, and below the product (450), a product (460) included in the second recommended product data may be displayed. For example, a product included in the first purchased product data may be milk, and other products likely to be purchased together with milk may be chocolate cookies and chocolate milk. If the query product is "milk," the processor (220) may determine the second recommended products as "chocolate cookies" and "chocolate milk" based on purchase log data from other users.

[0065] In another embodiment, the processor (220) may generate second recommended product data corresponding to the second recommended product based on the query product, regardless of the judgment result of operation (350). The processor may then transmit the second recommended product data to the terminal. In this case, the terminal screen may display at least one of the first purchased product data, the second purchased product data, and the second recommended product data.

[0066] In one embodiment, the processor (220) may generate first recommended product data (340) when the queried product and the purchased product do not match (322). The processor (220) may generate first recommended product data corresponding to the first recommended product based on at least one of the queried product, purchase log data, and user preference data. The first recommended product may be a product that matches or is related to the queried product and is likely to be purchased by the user if the queried product is not found among the purchased products. A user may mistakenly believe they have purchased a specific product through a specific online commerce platform and enter the product name of the specific product into the search bar. In this case, the specific product may not be found among the purchased products. In this case, no products may be displayed on the search results screen. Therefore, to purchase a desired product, the user may need to navigate to another screen through a selection input and undergo additional steps to search for the product. This process may discourage the user from purchasing, leading to decreased sales. Therefore, even if the product searched by the user is not among the products purchased, the user's purchasing desire can be increased by displaying other recommended products related to the product in question on the screen.

[0067] In one embodiment, the processor (220) may generate first recommended product data corresponding to a first recommended product based on the user's purchase log data. For example, the processor (220) may analyze the purchasing tendencies of a specific user A based on the user's purchase log data. For example, user A may have a purchasing tendency to purchase milk once a week. In another example, user A may have a purchasing tendency to purchase milk and cereal together. If the query product is milk, the processor (220) may determine the first recommended product as milk and / or cereal.

[0068] In one embodiment, the processor (220) may generate first recommended product data based on user preference data. The user preference data may include at least one of the user's brand preference, regional preference, unit price preference, delivery type preference, and average delivery time preference. The user preference data may be generated based on a specific user's purchase log data and / or survey data. The user's brand preference refers to a brand preferred by the specific user, and the processor (220) may preferentially recommend the user's preferred brand based on the user preference data. The regional preference refers to a region preferred by the user in relation to a specific product, and the processor (220) may preferentially recommend products corresponding to the user's preferred region for each product. For example, if user A prefers products from the Bordeaux region of France in relation to wine products, the processor (220) may preferentially recommend wine products from the Bordeaux region to user A. The unit price preference may refer to the user's preferred unit price for each product. For example, user A may have a preferred unit price of beef of 10,000 won per 100g and a preferred unit price of pork of 2,000 won per 100g. The processor (220) may preferentially recommend products corresponding to the unit prices preferred by user A. The delivery type preference may be related to the user's preferred delivery type. The average delivery time preference may be related to the user's preferred delivery time. For example, if the queried product is milk, milk may be a product for which brand preference is important. Based on the user preference data, the processor (220) may determine the display ranking in the order of brand A milk, brand B milk, and brand C milk preferred by the user, and determine the product as the first recommended product.

[0069] Referring to FIG. 5, if the queried product and the purchased product do not match on the screen (500), "No product search results" (520) may be displayed. "No product search results" (520) may be displayed or omitted. Furthermore, the screen (500) may display first recommended product data (530). For example, if the queried product is milk, the terminal may display Brand A milk (531), Brand B milk (532), Brand C milk (533), and Brand D milk (534) in that order based on the received first recommended product data.

[0070] According to one embodiment, the processor (220) may determine a first recommended product based on search log data and purchase log data of other users, and generate first recommended product data corresponding to the first recommended product. The search log data may be search records of products searched by other users. A product with a high number of searches may be a more popular product. Therefore, the more searches there are, the higher the probability that a specific user will purchase the product with a high number of searches. Accordingly, the processor (220) may determine a product with a search count above a certain threshold as the first recommended product based on the search log data. The processor (220) may generate a purchase count for a specific product based on purchase log data of other users. A product with a high number of purchases is a popular product among users, and thus, a specific user may be more likely to purchase the product with a high number of purchases. Accordingly, the processor (220) may determine a product with a purchase count above a certain threshold as the first recommended product based on the purchase log data. By determining a product with a high probability of purchase as the first recommended product, the processor (220) may increase the probability that a user will purchase the product.

[0071] Figures 4a to 4c are diagrams illustrating product information provided when a product search query is matched with a purchased product according to various embodiments of the present disclosure. A detailed description of Figures 4a to 4c has been previously described in connection with Figure 3, and therefore, a detailed description thereof is omitted in this drawing.

[0072] FIG. 5 is a diagram illustrating product information provided when a product search query does not match a purchased product according to various embodiments of the present disclosure. A detailed description of FIG. 5 has been previously described in connection with FIG. 3 , and therefore, a detailed description thereof is omitted in this drawing.

[0073] FIG. 6 is a flowchart of the operation of an electronic device according to one embodiment of the present disclosure.

[0074] An electronic device (200) according to one embodiment may be a server. The server may provide online commerce services to multiple terminals. The server may receive queries from multiple terminals and transmit data corresponding to the queries to the terminals.

[0075] An electronic device (200) according to one embodiment may determine (610) whether a product corresponding to a product search query matches at least one purchased product included in purchase log data. The product search query may be a query received from a terminal.

[0076] An electronic device (200) according to one embodiment can generate first purchased product data corresponding to a purchased product that matches a product, and determine (620) whether there is another purchased product included in the same order information as the purchased product that matches the product.

[0077] An electronic device (200) according to one embodiment may generate (630) second recommended product data corresponding to at least one second recommended product related to a product based on at least one of a product corresponding to a product search query, purchase log data, or user preference data.

[0078] While the method has been described through specific embodiments, the method can also be implemented as computer-readable code on a computer-readable recording medium. A computer-readable recording medium includes any type of recording device that stores data that can be read by a computer system. Examples of computer-readable recording media include ROMs, RAMs, CD-ROMs, magnetic tapes, floppy disks, optical data storage devices, etc. Furthermore, the computer-readable recording medium can be distributed across network-connected computer systems, so that the computer-readable code can be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing the above embodiments can be readily inferred by programmers skilled in the art to which the present disclosure pertains.

Claims

1. In a method for generating product information performed by an electronic device, A step for determining whether a product corresponding to a product search query matches a purchased product included in purchase log data; If the above query product matches the above purchased product, a step of generating first purchased product data corresponding to the matching purchased product; and If the above-mentioned query product does not match the above-mentioned purchased product, a step of generating first recommended product data corresponding to the first recommended product based on at least one of the above-mentioned query product, the purchase log data, and the user preference data; including, How to create product information.

2. In paragraph 1, A step of determining whether the order information of the above matching purchased product includes another purchased product; If the above other purchased product is included, a step of generating second purchased product data corresponding to the above other purchased product; and If the above other purchased products are not included, a step of generating second recommended product data corresponding to the second recommended product based on the above query product; A method for generating product information, further comprising:

3. In paragraph 1, When receiving a selection input for the above-mentioned matching purchased product, a step of generating product data including the above-mentioned matching purchased product and the above-mentioned purchased product excluding the above-mentioned matching purchased product, wherein the product data further includes a display ranking of the product. How to create product information.

4. In paragraph 3, The steps for generating the above product data are: Including a step of generating product data displayed in the order of the purchased products having the same product name as the query product and the products belonging to the same product category as the query product among the above matching purchased products. How to create product information.

5. In paragraph 3, The display ranking of the above products is determined based on the purchase date and product characteristics of the product. How to create product information.

6. In paragraph 5, The display ranking of the above products is set so that the more recent the purchase date of the product, the higher the display ranking. How to create product information.

7. In paragraph 5, The above product characteristics include at least one of product-specific characteristics, brand, region, unit price, delivery type, or average delivery time. How to create product information.

8. In paragraph 1, The above product search query is, A query generated based on text data entered through a search box included in a screen displaying the purchase log data, received from a terminal displaying the screen displaying the purchase log data. How to create product information.

9. In paragraph 1, The step of determining whether the above-mentioned product matches the above-mentioned purchased product is as follows: A step of determining whether the product name of the above-mentioned product is the same as the product name of the above-mentioned purchased product; and A step for determining whether the product category of the above-mentioned product is the same as the product category of the above-mentioned purchased product. A method for generating product information, further comprising:

10. In paragraph 1, A method for generating product information, wherein the above user preference data includes at least one of the user's brand preference, regional preference, unit price preference, delivery type preference, and average delivery time preference.

11. In paragraph 1, The step of generating the above first recommended product data is: A step of determining the first recommended product based on search log data and purchase log data of other users, and generating the first recommended product data corresponding to the first recommended product; A method for generating product information, further comprising:

12. In electronic devices, processor; and Memory storing instructions configured to be executed by the processor Including, The processor is configured to execute a method according to any one of claims 1 to 11. Electronic devices.

13. In a non-transitory computer-readable recording medium recording a computer program to be executed by a processor, A non-transitory computer-readable recording medium configured to cause the processor to execute a method according to any one of claims 1 to 11.

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