KR102675276B1 - Electronic device and operation method for generating and providing product information - Google Patents

Abstract

According to various embodiments of the present disclosure, the method includes determining whether a query product corresponding to a product search query matches a purchased product included in purchase log data; When the query product matches a purchased product, generating first purchased product data corresponding to the matched purchased product; and when the query product does not match the purchased product, generating first recommended product data corresponding to the first recommended product based on at least one of the query product, purchase log data, and user preference data. there is.

Description

Electronic device for generating and providing product information and its operating method {ELECTRONIC DEVICE AND OPERATION METHOD FOR GENERATING AND PROVIDING PRODUCT INFORMATION}

This disclosure relates to an electronic device for generating and providing product information and a method of operating the same.

Online commerce is an innovative system that has brought about revolutionary changes in purchasing products and services over the Internet along with the development of digital technology. Unlike traditional brick-and-mortar stores, online commerce platforms provide consumers around the world with greater convenience and a wider selection of products, and provide sellers with direct contact with a wider customer base. These technologies have continued to develop and innovate since the mid-1990s, and are currently leading the online commerce industry globally.

According to this trend, various companies are creating and providing online commerce platforms to users and developing various technologies for user convenience in order to increase the number of platform users.

According to various embodiments of the present disclosure, the technical task is to provide information on products that users have completed purchasing (e.g., information about frequently purchased products) in an online commerce platform.

According to various embodiments of the present disclosure, the technical task is to provide information on products that users have purchased based on search terms.

According to various embodiments of the present disclosure, the technical task is to recommend another product even when the product searched by the user is not in the list of products that have been purchased.

According to various embodiments of the present disclosure, the technical task is to provide recommended products corresponding to the search term as well as purchased products corresponding to the search term among purchased products.

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

According to one embodiment, a method of generating product information performed by an electronic device includes determining whether a query product corresponding to a product search query matches a purchased product included in purchase log data; When the query product matches a purchased product, generating first purchased product data corresponding to the matched purchased product; and when the query product does not match the purchased product, generating first recommended product data corresponding to the first recommended product based on at least one of the query product, purchase log data, and user preference data. there is.

According to one embodiment, the method may further include determining whether other purchased products are included in the order information of the matched purchased product.

According to one embodiment, the step of determining whether the order information of the matched purchased product includes another purchased product includes generating second purchased product data corresponding to the other purchased product. steps; And when other purchased products are not included, it may include generating second recommended product data corresponding to the second recommended product based on the query product.

According to one embodiment, the method includes, when receiving a selection input for a matched purchased product, generating product data including a matched purchased product and a purchased product excluding the matched purchased product - the product The data may further include - including the display ranking of the product.

The step of generating product data according to an embodiment includes the step of generating product data displayed in the order of purchased products with the same product name as the query product and products belonging to the same product category as the query product from the matched purchased products. can do.

The display ranking of a product according to one embodiment may be determined based on the purchase date and product characteristics of the product.

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

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

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

The step of determining whether a query product matches a purchased product according to an embodiment includes determining whether the product name of the query product is the same as the product name of the purchased product; and determining whether the product category of the query product and the product category of the purchased product are the same.

User preference data according to one embodiment 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 step of generating first recommended product data according to an embodiment includes determining a first recommended product based on search log data and purchase log data of other users, and providing first recommended product data corresponding to the first recommended product. A generating step may be further included.

An electronic device according to another embodiment, comprising: a processor; and a memory storing instructions configured to be executed by a processor, wherein the processor determines whether the query product corresponding to the product search query matches a purchased product included in the purchase log data, and the query product is a purchased product. If a match is made, first purchased product data corresponding to the matched purchased product is generated, and if the query product does not match the purchased product, at least one of the query product, purchase log data, and user preference data is generated. Based on this, first recommended product data corresponding to the first recommended product may be generated.

According to another embodiment, in a non-transitory computer-readable recording medium recording a computer program to be executed by a processor, the computer program causes the processor to select a query product corresponding to a product search query and a purchase included in the purchase log data. Determine whether the completed product matches, 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 , may be configured to generate first recommended product data corresponding to the first recommended product based on at least one of the query product, purchase log data, and user preference data.

According to various embodiments of the present disclosure, by entering a search term on a screen where purchased products are displayed and displaying purchased products corresponding to the search term on the screen, the user can conveniently search for the purchased product on the screen where purchased products are displayed. You can purchase it quickly.

According to various embodiments of the present disclosure, on the screen where purchased products are displayed, not only purchased products corresponding to the search term but also recommended products corresponding to the search term are displayed, so that the user needs to move to another screen and search for the product. You can purchase not only the purchased product but also other products.

According to various embodiments of the present disclosure, even if there is no purchased product corresponding to the user's search term, recommended products corresponding to the search term are displayed, so that the user can shop online on the screen where the purchased product is displayed without switching screens. can be performed continuously.

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

1 is a diagram illustrating a system according to various embodiments of the present disclosure.
Figure 2 is a block diagram illustrating an electronic device according to various embodiments of the present disclosure.
3 is a flowchart illustrating a method for providing product information according to various embodiments of the present disclosure.
Figures 4A to 4C are diagrams for explaining product information provided when a query product corresponding to a product search query matches a purchased product according to various embodiments of the present disclosure.
FIG. 5 is a diagram illustrating product information provided when a query product corresponding to a product search query and a purchased product do not match according to various embodiments of the present disclosure.
6 is a flowchart of an operation of an electronic device according to various embodiments of the present disclosure.

Embodiments of the present disclosure are illustrated for the purpose of explaining the technical idea of the present disclosure. The scope of rights according to the present disclosure is not limited to the embodiments presented below or the specific description of these embodiments.

All technical terms and scientific terms used in this disclosure, unless otherwise defined, have meanings commonly understood by those skilled in the art to which this disclosure pertains. All terms used in this disclosure are selected for the purpose of more clearly explaining this disclosure and are not selected to limit the scope of rights according to this disclosure.

Expressions such as “comprising,” “comprising,” “having,” and the like used in the present disclosure are open terms that imply the possibility of including other embodiments, unless otherwise stated in the phrase or sentence containing the expression. It should be understood as (open-ended terms).

Singular terms used in this disclosure may include plural terms unless otherwise stated, and this also applies to singular terms used in the claims.

Expressions such as “first” and “second” used in the present disclosure are used to distinguish a plurality of components from each other and do not limit the order or importance of the components.

The term “unit” used in this disclosure refers to software or hardware components such as a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC). However, “wealth” is not limited to hardware and software. The “copy” may be configured to reside on an addressable storage medium and may be configured to reproduce on one or more processors. Thus, as an example, “part” refers to software components, such as object-oriented software components, class components, and task components, processors, functions, properties, procedures, subroutines, Includes segments of program code, drivers, firmware, microcode, circuits, data, databases, data structures, tables, arrays, and variables. The functionality provided within components and “parts” may be combined into smaller numbers of components and “parts” or may be further separated into additional components and “parts”.

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

In this disclosure, when a component is referred to as being “connected” or “connected” to another component, it means that the component can be directly connected or connected to the other component, or as a new component. It should be understood that it can be connected or connected through other components.

Hereinafter, embodiments of the present disclosure will be described with reference to the attached drawings. In the accompanying drawings, identical or corresponding components are given the same reference numerals. Additionally, in the description of the following embodiments, overlapping descriptions of identical or corresponding components may be omitted. However, even if descriptions of components are omitted, it is not intended that such components are not included in any embodiment.

1 illustrates an environment in which an electronic device according to an embodiment of the present disclosure can be applied. The electronic device 110 and the user terminal 120 (hereinafter referred to as “terminal”) are connected through a network and can communicate with each other. The electronic device 110 may be a server or a different terminal separate from the terminal 120.

The terminal 120 may be implemented as a terminal capable of transmitting and receiving various information to and from the electronic device 110 through 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 a HMD. However, the type of terminal 120 is not limited to this, and the terminal 120 includes an input/output interface that can receive information from the user or output information to the user, and is connected to the electronic device 110 or another device through a network. It may be any device capable of communicating with other devices. 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. Input obtained from the user may include various types of input, such as a click using a mouse, a touch using a touch pad or touch screen, voice recognition, and other electronic input.

The network may serve to connect the electronic device 110 and the terminal 120 or other external devices. 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. A network is any type of wired or wireless network, for example, a Local Area Network (LAN), a Wide Area Network (WAN), a Mobile Radio Communication Network, or a Wireless Broadband Internet (Wibro). It can be implemented as:

Figure 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 components may be integrated and implemented, or may be implemented as a single or plural entity. In this disclosure, one or more processors 220 may be referred to as processor 220 . The expression processor 220 may mean a set of one or more processors, unless the context clearly expresses otherwise. In this disclosure, one or more memories 230 may be referred to as memory 230 . The expression memory 230 may mean a set of one or more memories, unless the context clearly expresses otherwise. In one embodiment, at least some of the components inside/outside the electronic device 200 include a bus, General Purpose Input/Output (GPIO), Serial Peripheral Interface (SPI), or Mobile Industry Processor Interface (MIPI), etc. They are connected to each other and can exchange information (data, signals, etc.).

The communication circuit 210 can communicate with the user's terminal and external devices. The communication circuit 210 may perform wireless or wired communication between the electronic device 200 and a terminal. For example, the communication circuit 210 may include enhanced Mobile Broadband (eMBB), Ultra Reliable Low-Latency Communications (URLLC), Massive Machine Type Communications (MMTC), Long-Term Evolution (LTE), and LTE Advance (LTE-A). , 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), Wireless communication can be performed using methods such as Bluetooth, NFC (Near Field Communication), GPS (Global Positioning System), or GNSS (Global Navigation Satellite System). For example, the communication circuit 210 provides wired communication according to a method such as USB (Universal Serial Bus), HDMI (High Definition Multimedia Interface), RS-232 (Recommended Standard-232), or POTS (Plain Old Telephone Service). It can be done. 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 that connects the electronic device 200 and the other device.

The processor 220 may control at least one component of the electronic device 200 connected to the processor 220 by running software (eg, commands, programs, etc.). Additionally, the processor 220 may perform various operations related to the present disclosure, such as calculation, processing, data generation, and processing. Additionally, the processor 220 may load data, etc. from the memory 230 or store it 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 about various pages, to the user's terminal.

The memory 230 can store various information (data). 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 (eg, commands, programs, etc.). Memory 230 may include volatile and/or non-volatile memory. In the present disclosure, a command or program is software stored in the memory 230, an operating system for controlling the resources of the electronic device 200, an application, and/or various functions so that the application can utilize the resources of the electronic device 200. It may include middleware that provides to the application. In one embodiment, the memory 230 may store instructions that allow the processor 220 to perform an operation when executed by the processor 220. The memory 230 may 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. The processor 220 may store in the memory 230 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.

Hereinafter, operations described as being performed by the electronic device in FIGS. 3 to 6 may be understood as being performed by the processor 220 of the electronic device 200 described in FIG. 2 .

Although the process steps, method steps, algorithms, etc. are described in sequential order in the configuration diagrams and flow diagrams shown in FIGS. 3 and 6, such processes, methods, and algorithms may be configured to operate in any suitable order. there is. In other words, the steps of the processes, methods and algorithms described in various embodiments of this disclosure do not need to be performed in the order described in this disclosure. Additionally, although some steps are described as being performed asynchronously, in other embodiments, some such steps may be performed concurrently. Additionally, illustration of a process by depiction in the drawings does not mean that the illustrated process excludes other variations and modifications thereto, and that any of the illustrated process or steps thereof may be used in various embodiments of the present disclosure. It does not imply that more than one is required, nor does it imply that the illustrated process is preferred.

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

The processor 220 according to one embodiment may receive (310) a product search query from the terminal. Processor 220 may be one or more processors included in the server. A product search query may be a query generated based on a search term entered by the user in the terminal. Search terms can be entered through the search box displayed on the screen of the terminal. 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. And a search box may be displayed on each screen.

As an example, if described with reference 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 that have been purchased by an account. A search box 410 may be displayed on the purchase log data display screen. When a user enters a search term in the search box 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) a product search query.

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 a search term through a search box displayed on the home screen. The server may receive a product search query based on the search word and transmit product search result data to the terminal. Product search result data may include data related to the query product corresponding to the product search query among purchased products included in the purchase log data. Accordingly, at least some of the purchased products included in the purchase log data may be displayed on the product search result screen. For example, when a user selects one purchased product from the product search results screen, the product search results screen may be converted to a screen displaying purchase log data. And on the purchase log data display screen, there are (1) purchased products with the same product name as the query product, (2) products belonging to the same product category as the query product, or (3) matching purchased products (e.g., (1) and ( Purchased products excluding product 2) may be displayed. Referring to FIG. 4A , a search may be performed through a search box displayed on the home screen, and “A Milk” may be selected from the displayed product search result screen. Additionally, the screen of the terminal may be switched from the product search results screen to the purchase log data screen 400. The purchase log data screen 400 includes (1) purchased products with the same product name as the query product (420), (2) products with different product names but the same product category as “milk” (421, 422, 423), and (3) ) Among the purchased products, a product 424 with a different product name and different product category may be displayed.

The processor 220 according to one embodiment may determine the display order of products. By determining the display ranking, products that users are likely to purchase can be displayed at the top of the screen to encourage users to easily select and purchase products. The higher the display rank is set, the higher the display rank among the plurality of products may be located on the left and/or top of the screen. For example, the processor 220 may set the display rank low in the following order: products with the same product name as the query product, products with different product names but the same product category, and products with different product categories. For example, the processor 220 may set a product with the same product name to have a higher display rank than a product with a different product name but the same product category. For example, a product 420 whose product name is the same as the query product may be displayed in the upper left corner, and products 421, 422, and 423 whose product names are different from the query product but have the same product category may be displayed subsequently. When two or more products are located at the same height on the screen, the display ranking may be higher as they are located on the left rather than the right. And the lower the product is located on the screen, the lower the display ranking of the product may be.

The display ranking of products according to one embodiment may be determined based on 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 is completed. The display ranking of products according to one embodiment may be set so that the more recent the purchase date, the higher the display ranking. If a product has been purchased for a long time, it may be more likely that the user will no longer wish to purchase it. On the other hand, users may be more likely to continue purchasing products that have been recently purchased and repurchased. Accordingly, the processor 220 can set the display priority to be higher as the purchase date is more recent.

Product characteristics may include at least one of product-specific characteristics, brand, region, unit price, delivery type, or average delivery time. Product-specific characteristics result from the product's unique properties. For example, product-specific characteristics may include the expiration date in the case of fresh food. For another example, a product's unique characteristic may be the scent that comes from the product. A brand can be the name of an individual or organization that manufactures or sells a product. Region refers to the production area, the area where products obtained from the production area were processed, the area where the product was sold, or an indication of regional characteristics (e.g., the product is wine, and it is not a wine made in the Bordeaux region, but is a wine made in the Bordeaux style). As in the case where a region is used in a product name to indicate regional characteristics), it may include at least one of the following. The unit price may be the price per unit that determines the price of the product. For example, the price per unit of beef may be 10,000 won per 100g. The delivery type is a type of product delivery and may include, for example, general delivery, express delivery, fresh food delivery, and overseas delivery. Expedited shipping has a shorter average delivery time than Japanese shipping, and may be a type of shipping where delivery is completed within a guaranteed time (e.g. 1 day). Fresh food delivery may be a type in which products are delivered through packaging to maintain the freshness of the food. Overseas shipping may be a type of importing products traded overseas into the country and delivering them to customers. The average delivery time may be the average time it takes to deliver a specific product. For example, the processor 220 may determine the display ranking based on the user's preferred brand. There may be multiple brands that manufacture and sell “milk.” And users can prefer milk brands in the following order: Brand A, Brand B, and Brand C. Processor 220 may know user preferences based on user preference data described below. Therefore, if the user has a history of purchasing Brand A, Brand B, and Brand C milk, and prefers products in the order of Brand A, Brand B, and Brand C milk, the processor 220 selects Brand A, Brand A, and Brand A among the purchased products. You can create product data displayed in the order of Brand B and Brand C milk.

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

Below, a detailed description of the operation of “determining whether or not to match” is described. The processor 220 according to one embodiment may determine whether the product name of the query 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 query product corresponding to the product search query is “30 Eggs of Brand A”, the processor 220 may identify the purchased product whose product name is “30 Eggs of Brand A” among the purchased products. You can. The processor 220 according to another embodiment may determine whether the product category of the query 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 query product corresponding to the product search query is “kitchen towel,” the processor 220 may identify other purchased products with the same product category as “kitchen towel” even if the product name is different. . The processor 220 provides purchase completion data to the user not only when the product name is the same as the query product, but also when the product category is the same, so that even if the product with the same product name as the query product is sold out, there is another product that the user is likely to purchase. By providing products that have already been purchased, users can be encouraged to purchase quickly.

If at least one purchased product matches the query product corresponding to the product search query (321), the processor 220 according to one embodiment matches the purchased product that matches the query product corresponding to the product search query. First purchased product data may be generated (330). The first purchased product data may include information related to at least one purchased product that matches the query product corresponding to the product search query. The processor 220 may transmit the first purchased product data to the 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 the screen. For example, if described with reference to FIG. 4B, the query product corresponding to the product search query may be “A Milk.” The product 430 may be a purchased product that has the same product name as “A Milk 2L,” which is the query product corresponding to the product search query. The product 431 may be a purchased product that has the same product category of "milk" as the query product "A Milk 2L" corresponding to the product search query, has a different milk volume, and has a product name of "A Milk 1L".

The processor 220 according to one embodiment may determine (350) whether other purchased products are included in the order information of the matched purchased product. Order information may be generated for each unit ordered by the user, and one order information may include at least one product. While shopping through an online commerce platform, users can add products to be purchased to a list of products to be purchased (e.g., shopping cart). Additionally, payment can be made based on a list of products to be purchased that includes products to be purchased, and the processor 220 can generate order information through payment. A plurality of products included in one order information may be products that a user is likely to purchase together. For example, if the user frequently orders cereal with milk, searches for milk to purchase milk, or adds milk to the list of products to be purchased, there may be a high possibility of purchasing cereal as well. Accordingly, the processor 220 can improve the user's purchasing convenience by providing the user with not only the query product but also purchased products that the user has purchased together with the query product in the past.

If the order information includes another purchased product (351), the processor 220 according to one embodiment 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 the display ranking of other purchased products that are highly related to the query product. The processor 220 may determine the display order of other purchased products in the order in which the user is most likely to purchase them. Referring to FIG. 4B , the 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 while ordering a milk product 430. If so, both the product 430 and the product 440 may be included in one order information. The processor 220 provides the user with both the product 430 corresponding to the query product and other purchased products 440 included in the order information, so that the user can purchase other completed products 440 included in one order information. can induce you to purchase.

If the order information does not include other purchased products (352), the processor 220 according to one embodiment may generate second recommended product data corresponding to the second recommended product based on the query product (370). there is. If the order information does not include other purchased products, it may be the case that the order information contains only 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 that were purchased along with the purchased product that matches the query product. Accordingly, the processor 220 may determine at least one second recommended product based on the query product. And 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. The processor 220 may determine a second recommended product that is likely to be purchased together with the query product based on the correlation. For example, users may have a tendency to purchase shampoo and conditioner together. The processor 220 may determine this trend based on purchase log data of other users. If the query product is “A shampoo,” the processor 220 may determine the second recommended product to be “B rinse,” “C rinse,” etc. By determining the second recommended product as a product that is highly likely to be purchased together with the query product, the processor 220 can induce the user to purchase not only the query product but also a product that is likely to be purchased together with the query product.

When explained with reference to FIG. 4C, the screen 402 may be a screen when no other purchased products are included in the order information of the matching purchased product. The product 450 included in the first purchased product data may be displayed on the screen 402, and the product 460 included in the second recommended product data may be displayed at the bottom of the product 450. For example, the product included in the first purchased product data may be milk, and other products with a high probability of being purchased together with milk may be chocolate cookies and chocolate milk. When the query product is “milk,” the processor 220 may determine the second recommended products to be “chocolate snacks” and “chocolate milk” based on other users’ purchase log data.

The processor 220 according to another embodiment may generate second recommended product data corresponding to the second recommended product based on the query product regardless of the decision result of operation 350. And the second recommended product data can be transmitted to the terminal. In this case, at least one of first purchased product data, second purchased product data, and second recommended product data may be displayed on the screen of the terminal.

If the query product and the purchased product do not match (322), the processor 220 according to one embodiment may generate first recommended product data (340). The processor 220 according to one embodiment may generate first recommended product data corresponding to the first recommended product based on at least one of the query product, purchase log data, and user preference data. If there is no product in question among purchased products, the first recommended product may be a product that the user is likely to purchase as it matches or is related to the product in question. Users may mistakenly believe that they have purchased a specific product through a specific online commerce platform and enter the product name of the specific product into the search box. In this case, the specific product may not be among the purchased products. In this case, no products may be displayed on the search results screen. Therefore, in order to purchase a desired product, the user may need to switch to another screen through selection input and search for the product through several additional procedures. These procedures can reduce users' willingness to purchase, leading to a decrease in sales. Accordingly, even if the product searched by the user is not among the purchased products, the user's willingness to purchase can be increased by displaying other recommended products related to the query product on the screen.

The processor 220 according to one embodiment may generate first recommended product data corresponding to the first recommended product based on the user's purchase log data. For example, the processor 220 may analyze user A's purchasing propensity based on purchase log data of a specific user A. For example, User A may have a purchasing tendency to purchase milk once a week. For 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 to be milk and/or cereal.

The processor 220 according to one embodiment 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, region preference, unit price preference, delivery type preference, and average delivery time preference. User preference data may be generated based on a specific user's purchase log data and/or survey data. A user's brand preference refers to a brand preferred by a specific user, and the processor 220 may preferentially recommend a brand preferred by the user based on user preference data. Regional preference relates to the region that the user prefers in relation to a specific product, and the processor 220 can preferentially recommend products corresponding to the region that the user prefers for each product. For example, in relation to wine products, if user A prefers products from the Bordeaux region of France, the processor 220 may preferentially recommend wine products from the Bordeaux region to user A. Unit price preference may be the unit price preferred by the user for each product. For example, User A's preferred unit price of beef may be 10,000 won per 100g, and the preferred unit price of pork may be 2,000 won per 100g. The processor 220 may preferentially recommend products corresponding to the unit price preferred by user A. Delivery type preference may be related to the delivery type preferred by the user. Average delivery time preference may be related to the user's preferred delivery time. For example, if the product in question 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 corresponding product as the first recommended product.

Referring to FIG. 5 , if the query 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. And first recommended product data 530 may be displayed on the screen 500. For example, if the query product is milk, the terminal may select Brand A milk (531), Brand B milk (532), Brand C milk (533), and Brand D milk (534) based on the received first recommended product data. Can be displayed in order.

The processor 220 according to one embodiment 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. Search log data may be product search records searched by other users. The more searches a product has, the more popular it may be. Therefore, the greater the number of searches, the higher the probability that a specific user will purchase the product for which the number of searches is high. Accordingly, the processor 220 may determine a product for which the number of searches is greater than a certain standard as the first recommended product based on the search log data. The processor 220 may generate the number of purchases of a specific product based on purchase log data of other users. Products with a high number of purchases are products that are popular among users, and a specific user may be more likely to purchase a product with a high number of purchases. Accordingly, the processor 220 may determine a product with a number of purchases exceeding a certain standard as the first recommended product based on purchase log data. By determining a product that the user is likely to purchase as the first recommended product, the processor 220 can increase the user's probability of purchasing the product.

Figures 4A to 4C are diagrams for explaining product information provided when a query product corresponding to a product search query matches a purchased product according to various embodiments of the present disclosure. Since the detailed description of FIGS. 4A to 4C was described above in the description related to FIG. 3 , the detailed description in this drawing is omitted.

FIG. 5 is a diagram illustrating product information provided when a query product corresponding to a product search query and a purchased product do not match according to various embodiments of the present disclosure. Since the detailed description of FIG. 5 was described above in the description related to FIG. 3, the detailed description in this drawing is omitted.

Figure 6 is a flowchart of the operation of an electronic device according to an embodiment of the present disclosure.

The electronic device 200 according to one embodiment may be a server. The server can provide online commerce services to a plurality of terminals. The server may receive a query from a plurality of terminals and transmit data corresponding to the query to the terminal.

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

The electronic device 200 according to an embodiment generates first purchased product data corresponding to a purchased product that matches the product, and other purchased products included in the same order information as the purchased product that matches the product. You can determine whether it exists (620).

The electronic device 200 according to an embodiment may provide second recommended product data corresponding to at least one second recommended product related to the product based on at least one of a product corresponding to a product search query, purchase log data, or user preference data. can be created (630).

Although the method has been described through specific embodiments, the method can also be implemented as computer-readable code on a computer-readable recording medium. Computer-readable recording media include all types of recording devices that store data that can be read by a computer system. Examples of computer-readable recording media may include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices. Additionally, computer-readable recording media can be distributed across computer systems connected to a network, so that computer-readable code can be stored and executed in a distributed manner. And, functional programs, codes, and code segments for implementing the above embodiments can be easily deduced by programmers in the technical field to which this disclosure pertains.

Claims (13)

In a method of generating product information performed by an electronic device,
Product search query - the product search query is generated based on text data entered through a search box included in a screen displaying purchase log data, and is received from a terminal on which a screen displaying purchase log data is displayed - Determining whether the query product corresponding to and the purchased product included in the purchase log data are matched;
When the query product matches the purchased product, generating first purchased product data corresponding to the matched purchased product; and
If the query product does not match the purchased product, 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 user preference data;
Including,
The first purchased product data or the first recommended product data is displayed on the screen displaying the purchase log data in response to the matching determination result, without switching to another screen,
How to create product information.
According to paragraph 1,
determining whether other purchased products are included in the order information of the matched purchased product;
If the other purchased product is included, generating second purchased product data corresponding to the other purchased product; and
If the other purchased product is not included, generating second recommended product data corresponding to a second recommended product based on the query product;
A method for generating product information, further comprising:
According to paragraph 1,
When receiving a selection input for the matched purchased product, generating product data including the matched purchased product and purchased products excluding the matched purchased product - the product data is a display of the product Contains a rank - further comprising,
How to create product information.
According to paragraph 3,
The step of generating the product data is,
In the matched purchased product, generating product data displayed in the order of purchased products with the same product name as the query product and products belonging to the same product category as the query product.
How to create product information.
According to paragraph 3,
The display ranking of the product is determined based on the purchase date and product characteristics of the product.
How to create product information.
According to clause 5,
The display ranking of the product is set so that the more recent the purchase date of the product, the higher the display ranking.
How to create product information.
According to clause 5,
The product characteristics include at least one of product unique characteristics, brand, region, unit price, delivery type, or average delivery time,
How to create product information.
delete According to paragraph 1,
The step of determining whether the inquiry product matches the purchased product is,
determining whether the product name of the inquiry product and the product name of the purchased product are the same; and
Determining whether the product category of the inquiry product and the product category of the purchased product are the same
A method for generating product information, further comprising:
According to paragraph 1,
The 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.
According to paragraph 1,
The step of generating the first recommended product data is,
determining the first recommended product based on another user's search log data and purchase log data, and generating the first recommended product data corresponding to the first recommended product;
A method for generating product information, further comprising:
In electronic devices,
processor; and
Memory storing instructions configured to be executed by the processor
Including,
The processor is configured to execute the method according to any one of claims 1 to 7 or 9 to 11,
Electronic devices.
A non-transitory computer-readable recording medium recording a computer program to be executed by a processor,
The computer program is configured to cause the processor to execute the method according to any one of claims 1 to 7 or 9 to 11.

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