KR102631528B1 - Apparatus, method and recording medium storing instructions for performing location based personalized action - Google Patents

Abstract

This disclosure proposes a method of performing personalized actions based on location. A method according to the present disclosure includes obtaining a first preference indication indicating whether a first user associated with a first geographic area prefers a product purchased by another user associated with the first geographic area, and It may include performing a personalized action for the first user based on the user information.

Description

A recording medium storing devices, methods, and instructions for performing location-based personalized actions {APPARATUS, METHOD AND RECORDING MEDIUM STORING INSTRUCTIONS FOR PERFORMING LOCATION BASED PERSONALIZED ACTION}

This disclosure relates to technology for providing e-commerce services, and more specifically, to technology for performing location-based personalized actions with respect to e-commerce services.

E-commerce services may involve personalized marketing based on data. For example, users are classified into multiple customer groups based on data input from users during the membership registration process, such as gender, age, address, etc., and common trends for a specific customer group (e.g., Personalized actions for customers within that customer group (e.g., sending an email containing advertising content for products in a specific category, sending a push message, displaying a message on a web page, etc.) based on the purchase of a relatively large number of products in a specific category ) can be taken. As another example, personalized actions for a specific customer (e.g., items added to the shopping cart, etc.) based on the customer's behavioral history within the e-commerce service (e.g. search keywords entered, devices used, products clicked/purchased or added to the shopping cart, etc.) Sending product information emails or push messages, etc.) This kind of personalized marketing can increase the purchase conversion rate while consuming fewer resources compared to actions targeting all customers, which directly leads to profits for e-commerce services.

From a personalized marketing perspective, the impact of the fact that someone else has purchased a product or service can vary greatly from person to person and context to context. For example, a person may prefer to buy a product that many other people have purchased in order to purchase a product that has been proven. As another example, a person may try to avoid products purchased by others as much as possible in order to express their own unique sensibility. However, in conventional e-commerce services, technology for marketing based on tendencies or popularity shared by many, such as recommending products that have been purchased a lot by a group of customers who are expected to have similar tendencies to a specific customer, is used. It has been mainly used, and not enough technology has been provided to reflect individual tendencies expressed in various ways regarding products purchased by others.

The present disclosure is intended to solve the problems of the prior art described above and provides technology for performing personalized actions based on location.

As one aspect of the present disclosure, a method performed by an apparatus for providing an e-commerce service may be proposed. According to one aspect of the disclosure, a method includes obtaining a first preference indication indicating whether a first user associated with a first geographic area prefers products purchased by another user associated with the first geographic area; and performing a personalized action for the first user based on the first preference indication.

In one embodiment, the first preference indication indicates that the first user does not prefer a product purchased by another user associated with the first geographic area, and performing a personalization action for the first user comprises: , identifying a first product held by the first user; In response to a second user associated with the first geographic area purchasing a second product, determining whether the first product and the second product are the same; And in response to determining that the first product and the second product are the same, it may include performing a personalization action to deliver a notification to the first user. Additionally, the notification provides a tool for listing the first product for sale on the e-commerce service.

In one embodiment, the first preference indication indicates that the first user does not prefer a product purchased by another user associated with the first geographic area, and performing a personalization action for the first user comprises: , determining a plurality of candidate products; assigning a non-purchase score to each of a plurality of candidate products based on a purchase history in the e-commerce service of each of one or more other users associated with the first geographic area; selecting one or more recommended products from among the plurality of candidate products based on non-purchase scores assigned to the plurality of candidate products; And it may include performing a personalization action to recommend the one or more recommended products to the first user.

In one embodiment, the first preference indication indicates that the first user does not prefer a product purchased by another user associated with the first geographic area, and performing a personalization action for the first user comprises: , in response to the first user purchasing the first product, determining whether the first user was the first among all users associated with the first geographic area to purchase the first product; and a tool that, in response to a determination that the first user is the first among all users associated with the first geographic area to purchase the first product, allows the first user to authenticate the first purchase of the first product. It may include performing a personalized action to provide.

In one embodiment, the first preference indication indicates that the first user prefers products purchased by another user associated with the first geographic area, and performing a personalization action for the first user comprises: Based on the first user's behavioral history on the e-commerce service, and the behavioral history on the e-commerce service of each of a plurality of other users associated with the first geographic area, one or more other users among the plurality of other users Selecting; and performing a personalization action to provide a tool that allows the first user to form a new user group with the one or more other users or to join an existing user group to which the one or more other users belong. there is.

A method according to an aspect of the present disclosure may further include determining, based on location information about the first user, that the first user is associated with the first geographic area.

According to one aspect of the disclosure, a method includes determining that the first user is further associated with a second geographic area; and obtaining a second preference indication indicating whether the first user prefers products purchased by another user associated with the second geographic area.

As one aspect of the present disclosure, an apparatus for providing e-commerce services may be proposed. An apparatus according to one aspect of the present disclosure includes one or more processors; and one or more memories storing instructions that, when executed by the one or more processors, cause the one or more processors to perform an operation, wherein the one or more processors are configured to: A first preference indication indicating whether another user associated with the area prefers the purchased product may be obtained, and a personalized action for the first user may be performed based on the first preference indication.

As one aspect of the present disclosure, a non-transitory computer-readable recording medium on which instructions are recorded may be proposed. Instructions recorded on a recording medium according to an aspect of the present disclosure, when executed by one or more processors, cause the one or more processors to cause a first user associated with a first geographic area to cause another user associated with the first geographic area to A first preference indication indicating whether the purchased product is preferred may be obtained, and a personalized action for the first user may be performed based on the first preference indication.

According to various embodiments of the present disclosure, by performing a personalization action that takes into account preferences for products purchased by others, it is possible to reduce resource consumption due to the personalization action and increase the possibility of purchase conversion.

According to various embodiments of the present disclosure, by determining a geographic area associated with a user and considering preferences for products purchased by others within that geographic area, a geographic area where the user's preferences substantially influence (e.g., the user's It is possible to perform personalized actions based on the surroundings of the home and commuting routes), thereby increasing the user's actual efficacy for personalized actions and reducing the burden of data processing.

According to various embodiments of the present disclosure, user convenience can be increased by reducing the burden of user input and selection by determining the geographic area associated with the user based on the location information history associated with the user.

1 is a diagram illustrating an environment in which a device according to an embodiment of the present disclosure can be employed.
FIG. 2 is a diagram illustrating a computing device capable of implementing a device according to an embodiment of the present disclosure.
3 is a flowchart illustrating a method for performing a personalized action based on location according to an embodiment of the present disclosure.
FIGS. 4A to 4C are flowcharts illustrating detailed operations for performing a personalization action when a user does not prefer a product purchased by another user according to an embodiment of the present disclosure.
Figure 5 is a flowchart illustrating detailed operations for performing a personalization action when a user prefers a product purchased by another user according to an embodiment of the present disclosure.

The various embodiments described in the present disclosure are illustrative for the purpose of clearly explaining the technical idea of the present disclosure, and are not intended to limit them to specific embodiments. The technical idea of the present disclosure includes various modifications, equivalents, and alternatives of each embodiment described in the present disclosure, and embodiments selectively combined from all or part of each embodiment. In addition, the scope of rights of the technical idea of the present disclosure is not limited to the various embodiments or specific descriptions thereof presented below.

Terms used in this disclosure, including technical or scientific terms, unless otherwise defined, may have meanings commonly understood by those skilled in the art to which this disclosure pertains.

Expressions such as “includes,” “may include,” “includes,” “may be provided,” “has,” “may have,” and the like used in the present disclosure refer to the target feature, e.g. function, operation or component, etc.) exists, and does not exclude the presence of other additional features. In other words, such expressions should be understood as open-ended terms that imply the possibility of including other embodiments.

The singular expressions used in this disclosure may include plural meanings unless the context dictates otherwise, and this also applies to the singular expressions described in the claims.

Expressions such as "first", "second", or "first", "second", etc. used in the present disclosure distinguish one object from another when referring to a plurality of objects of the same type, unless otherwise indicated in the context. It is used to do so, and does not limit the order or importance of the objects. For example, each user device included in a plurality of user devices according to the present disclosure may be distinguished from each other by being expressed as “first user device” and “second user device”.

As used in this disclosure, “A, B, and C,” “A, B, or C,” “A, B, and/or C,” or “at least one of A, B, and C,” “A, B , or at least one of C," "at least one of A, B, and/or C," "at least one selected from A, B, and C," "at least one selected from A, B, or C," "A Expressions such as “at least one selected from , B, and/or C” may mean each listed item or all possible combinations of the listed items. For example, “at least one selected from A and B” means: (1) A, (2) at least one of A, (3) B, (4) at least one of B, (5) at least one of A and B It may refer to at least one of, (6) at least one of A and B, (7) at least one of B and A, and (8) both A and B.

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 refers to the It does not exclude additional factors that may influence the decision, act or action of judgment.

The expression “configured to” used in the present disclosure means, depending on the context, “set to”, “having the ability to”, “changed to”, “made to”, “to do”. It can have meanings such as “possible.” The expression is not limited to the meaning of "specially designed in hardware," and for example, a processor configured to perform a specific operation refers to a special purpose computer structured through programming to perform that specific operation. It can mean.

Hereinafter, various embodiments of the present disclosure will be described with reference to the attached drawings. In the accompanying drawings and descriptions of the drawings, identical or substantially equivalent components may be assigned the same reference numerals. Additionally, in the description of various embodiments below, overlapping descriptions of the same or corresponding components may be omitted, but this does not mean that the corresponding components are not included in the embodiments.

FIG. 1 is a diagram illustrating an environment in which the device 110 according to an embodiment of the present disclosure can be employed. In one embodiment, device 110 may be a server, a computing device, or a chip or circuit within such devices. Device 110 may provide technology for performing location-based personalized actions with respect to e-commerce services in accordance with the present disclosure. That is, the device 110 may obtain a preference indication regarding whether the user prefers a product purchased by another user associated with a specific geographic area, and perform a personalized action for the user based on the obtained preference indication.

Device 110 may provide e-commerce services to user device 120. 1 shows an example in which one user device 120 communicates with device 110 over a network, but there is a limit to the number of user devices 120 to which device 110 can provide e-commerce services. does not exist. That is, one or more user devices 120 can receive the e-commerce service provided by the device 110 at any time by communicating with the device 100 through a network simultaneously or at different times.

The device 110 may provide an e-commerce service, for example, through a website accessed by the user device 120 or an application running on the user device 120. User device 120 may provide input to e-commerce services. Such input may be a variety of inputs, including but not limited to scrolling within a web page, zooming in or out of a web page, selecting an operable element within a web page or application, entering text, or entering an image, etc.

Device 110 may associate input from user device 120 with a specific user. For example, device 110 may respond to obtaining a particular user's login information for an e-commerce service from user device 120, thereby associating input from user device 120 with that user for a period of time in the future. You can do it.

Device 110 may manage information about the user based on input from user device 120. Information about the user managed by the management device 110 may include, for example, the user's name information, age information, address information, or contact information. Management of information about users can collectively refer to a series of actions that involve processing and having control over that information. For example, management of information about a user may include storing, updating, or modifying the information.

Device 110 may collect the user's behavioral history in the e-commerce service based on input from user device 120. Behavioral history refers to the user's random actions on the e-commerce service, including, but not limited to, actions within a specific web page of the e-commerce service (selecting, scrolling, pausing, etc.) or actions such as adding to the shopping cart or purchasing a specific product. It may be information representing . The user's behavior history in the e-commerce service may include the user's purchase history in the e-commerce service. This behavioral history may undergo arbitrary processing (e.g., filtering, compression) and be stored inside or outside the device 110 in any format.

Device 110 may manage a series of processes that enable an electronic commerce transaction (e.g., purchasing or selling a product) in which a user engages to occur based on input from user device 120. For example, device 110 may manage a series of processes such as allowing a user to search for, select, purchase and pay for products, and request delivery. As another example, device 110 may manage a series of processes, such as allowing a user to list products he or she owns for sale, accept purchase requests from other users, receive payment, and make deliveries. there is. It should be noted that, in addition to these exemplary operations, applying the technical idea of the present disclosure to various operations that the device 110 can perform to provide an e-commerce service is not excluded from the scope of the present disclosure.

Device 110 may be implemented as one or more computing devices. For example, all of the functionality of device 110 may be implemented in a single computing device. As another example, a first function of device 110 may be implemented in a first computing device and a second function may be implemented in a second computing device. As another example, multiple computing devices may be used, each implementing all or specific functions of device 110. The above-mentioned computing device may be, but is not limited to, a desktop computer, laptop computer, application server, proxy server, or cloud server, etc., and may have a computing function. It may be any device equipped with this.

In one embodiment, user device 120 may be any type of device capable of connecting to device 110 over a network. A web browser or application for providing e-commerce services may be installed on the user device 120. For example, the user device 120 may be a portable communication device (e.g., a smartphone), a computer device (e.g., a tablet PC, a laptop), a portable multimedia device, a wearable device, etc., but is not limited thereto. This is not the case and may be any device equipped with computing capabilities.

Device 110 and user device 120 shown in FIG. 1 may communicate over a network. This network may be any wired or wired network, such as, for example, a Local Area Network (LAN), a Wide Area Network (WAN), a Mobile Radio Communication Network (MRCN), or a Wireless Broadband (WiBro). It may be implemented as a wireless network or any combination thereof.

FIG. 2 is a diagram illustrating a computing device 200 capable of implementing a device according to an embodiment of the present disclosure. In this disclosure, computing device 200 may be referred to interchangeably with an electronic device. The device 110 or user device 120 described above with reference to FIG. 1 may be implemented by the computing device 200.

Computing device 200 may include one or more processors 210, one or more memories 220, and/or communication interfaces 230. In one embodiment, some components may be deleted from computing device 200 or other components (eg, a display or input device, etc.) may be added to computing device 200 . 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 210 may be referred to as processor 210. The term processor 210 may refer to a set of one or more processors, unless the context clearly expresses otherwise. Additionally, in this disclosure, one or more memories 220 may be referred to as memory 220 . The term memory 220 may mean a set of one or more memories, unless the context clearly expresses otherwise.

The processor 210 may perform operations or information processing related to control or communication of each component of the computing device 200. Specifically, the processor 210 may control at least one component of the computing device 200 connected to the processor 210 by running software (or computer programs or instructions) received from other components. As an example, processor 210 loads instructions (e.g., instructions, code, or code segments) or information into memory 220, and stores the instructions in memory 220. Alternatively, information may be processed, and the resulting information according to the processing may be stored in the memory 220. Additionally, the processor 210 may be operatively connected to components of the computing device 200 and perform various operations such as calculation, processing, generation, or processing related to the present disclosure.

Memory 220 can store various information. Information stored in the memory 220 is information acquired, processed, or used by at least one component of the computing device 200, and may include software. Software, when loaded into memory 220, may include one or more instructions that cause processor 210 to perform operations according to various embodiments of the present disclosure. That is, the processor 210 may perform operations according to various embodiments of the present disclosure by executing one or more instructions described above. Memory 220 may include, for example, volatile or non-volatile memory. In one embodiment, the program is software stored in the memory 220, and is an operating system, application, or application for controlling the resources of the computing device 200 and provides various functions to the application so that the application can utilize the resources of the computing device 200. It may include provided middleware, etc.

The communication interface 230 can establish a wired or wireless communication channel with another device and transmit and receive various information with the other device. In one embodiment, the communication interface 230 may include at least one port to be connected to another device with a wired cable in order to communicate with the other device by wire. In this case, the communication interface 230 can communicate with another device connected by wire through at least one port. In one embodiment, communication interface 230 may include a cellular communication module and be configured to connect to a cellular network (e.g., 3G, LTE, 5G, Wibro, or Wimax). In one embodiment, the communication interface 230 includes a short-range communication module and can transmit and receive information with other devices using short-range communication (e.g., Wi-Fi, Bluetooth, Bluetooth Low Energy (BLE), UWB). In one embodiment, the communication interface 230 may include a contactless communication module for contactless communication. Non-contact communication may include at least one non-contact proximity communication technology, such as, for example, Near Field Communication (NFC) communication, Radio Frequency Identification (RFID) communication, or Magnetic Secure Transmission (MST) communication. In addition to the various examples described above, the computing device 200 may be implemented in various known ways for communicating with other devices, and the scope of the present disclosure is not limited by the examples described above.

In one embodiment, computing device 200 may include a display (not shown). The display may display various screens (eg, one or more pages) based on control of the processor 210. In order to display a screen with various interfaces applied on the display, for example, a web browser or a dedicated application may be installed on the computing device 200. Additionally, the display is a component capable of interacting with the user and can receive input from the user. This display may be implemented in the form of a touch sensor panel (TSP) that can recognize the contact or proximity of various external objects (eg, a user's finger or stylus).

In one embodiment, computing device 200 may include an input device (eg, a mouse or keyboard). The input device may receive information to be used by components of computing device 200 from outside of computing device 200 (eg, a user).

Hereinafter, methods according to various embodiments of the present disclosure will be described in detail. Although operations are shown in a specific order in the drawings below, it should be noted that the operations do not necessarily have to be executed in the specific order or sequential order shown, or that all of the illustrated operations must be executed to obtain the desired results.

Additionally, operations of the method to be described with reference to the drawings below may be performed by a computing device. In other words, the operations of the method may be implemented as one or more instructions executed by a processor of the computing device. All operations included in this method may be performed by a single physical computing device, but the first operation of the method may be performed by the first computing device and the second operation of the method may be performed by the second computing device. It may be possible.

Hereinafter, operations of methods according to various embodiments of the present disclosure are described under the assumption that they are performed by the device 110 shown in FIG. 1 . For convenience of explanation, the subject performing the operation may be omitted, but unless the context indicates otherwise, it should be interpreted that the operation is performed by the device 110.

3 is a flowchart illustrating a method for performing a personalized action based on location according to an embodiment of the present disclosure. The method illustrated in FIG. 3 can be understood as a series of operations for performing a personalized action for a user associated with a particular geographic area based on whether the user prefers a product purchased by another user associated with the same geographic area. there is. Hereinafter, the operations shown in FIG. 3 will be described in detail.

Device 110 may obtain a first preference indication indicating whether a first user associated with the first geographic area prefers a product purchased by another user associated with the first geographic area (S310). Here, the first user may be a user of an e-commerce service provided by the device 110. Also herein, other users associated with the first geographic area may refer to any number of users other than the first user identified by device 110 as being associated with the first geographic area. Meanwhile, based on input from user device 120, one or more specific other users may be excluded from other users associated with the first geographic area. To this end, for example, when obtaining a first preference indication, it may be possible to allow the first user to select users to whom the first preference indication will not apply (e.g. a specific influencer active in connection with an e-commerce service). A tool may be provided on the user device 120.

A first preference indication may be an indication of whether the fact that a product has been purchased by others, in relation to a specific geographic area, has a positive or negative effect on the first user's decision whether to purchase that product. there is. For example, first preference indicators are “I don’t like clothes that a lot of people I see on my way to work have bought,” “I like products that no one in my neighborhood has bought,” and “I like products that no one has bought within a 10 km radius of my house.” , “I like office supplies that are often used by people around my workplace,” etc. may be directly displayed by input from the user device 120 (such as selecting yes/no to a question) indicating preference. As another example, the first preference display may not be directly displayed on input from the user device 120, but may be determined based on the user's behavioral history. As a specific example, if the user's behavior history shows a tendency to mainly purchase products with a high non-purchase score, which will be described later, it may be determined that the user does not prefer products purchased by other users.

Whether a first user is associated with a first geographic area can be determined in a variety of ways. For example, device 110 may receive input from user device 120 indicating that the first user is associated with a first geographic area. In response to input that specifies home, work, or frequently visited places, the area within a certain radius centered on the home, work, or frequently visited place, or the administrative district (dong, ward, etc.) to which the home, work, or frequently visited place belongs, etc. This user may be identified by the geographic area with which he or she is associated. In response to input specifying a frequently traveled route, the frequently traveled route may be identified as a geographic area associated with the user. It should be noted that input from user device 120 indicating that the first user is associated with a first geographic area is not limited to the specific examples above.

As another example of determining whether a first user is associated with a first geographic area, device 110 may determine that the first user is associated with a first geographic area based on location information regarding the first user. This includes the times you are most likely to be at work (e.g., 9:00 a.m. to 6:00 a.m. on weekdays), the times you are most likely to be at home (e.g., 10:00 p.m. to 7:00 a.m.), and/or the times you are most likely to commute to work (e.g., The decision may have been made considering the times (8 a.m. to 9 p.m., 6 p.m. to 7 p.m.). For example, if location information about a first user indicates that the probability of the first user remaining in a particular first geographic area at a certain time or passing through a certain first geographic area at a certain time is greater than a threshold, the first user may You may decide that it is associated with that geographic area.

The location information about the user may include the IP address assigned to the user device 120 at each time the user device 120 accesses the device 110 and is provided with an e-commerce service. Stationary devices (such as desktop computers) may be statically assigned a single IP address, while mobile devices (such as smartphones) may be dynamically assigned temporary IP addresses as they move. Each IP address can be associated with a range of geographic areas. Accordingly, IP addresses included in location information about a user may indicate the location of the user device 120 at a specific point in time as a certain range of geographical area. According to this method, the geographic area associated with the user can be determined based on location information automatically collected about the user, thereby increasing user convenience by reducing the burden of user input and selection.

The first user may be associated with multiple geographic areas (eg, multiple geographic areas each representing the area around the home, around work, around frequent places, around the commuting route, etc.). Accordingly, device 110 may determine that the first user is additionally associated with a first geographic area, as well as a second geographic area. In this case, device 110 may further obtain a second preference indication indicating whether the first user prefers products purchased by other users associated with the second geographic area. Accordingly, it is possible to display preferences differently depending on the geographical area, thereby reflecting more diverse tastes of users. That is, the first preference indication indicates that the first user prefers products purchased by other users associated with the first geographic area, while the second preference indication indicates that the first user prefers products purchased by other users associated with the second geographic area. It can indicate that you do not prefer , or vice versa.

Whether another user is associated with the first geographic area may also be determined similarly as described above for the first user. At this time, for example, even if the third geographical area identified as being associated with the second user does not completely match the first geographical area, the portion of the first geographical area that overlaps with the third geographical area is more than a predetermined ratio, etc. According to predetermined criteria, it may be determined that the second user is associated with the first geographic area.

The device 110 may perform a personalized action for the first user based on the first preference indication (S320). For example, a personalization action may include sending an email or push message containing specific content, or outputting the content within a specific web page. As an example, the user device 120 that receives a push message from the device 110 through the network may display an alarm (eg, sound, vibration, or display change, etc.) according to its settings. However, personalization actions are not limited to these examples, and if an action is performed only for a specific user or group of users in a different content or manner than for the remaining users, it may be a personalized action regardless of the content and method. . The personalized action for the first user may be based on various information (eg, age, gender, etc.) or behavior history about the first user, in addition to indicating the first preference.

According to operations S310 and S320 according to an embodiment of the present disclosure, by performing a personalization action that takes into account preferences for products purchased by others, resource consumption due to the personalization action can be reduced and the possibility of purchase conversion can be increased. . In particular, it is possible to perform personalized actions based on geographic areas where the user's preferences actually influence (e.g., the user's home area, commuting route), thereby increasing the user's actual efficacy for personalized actions while processing data. It can reduce the burden.

Hereinafter, with reference to FIGS. 4A to 4C and FIG. 5 , exemplary detailed operations for performing a personalized action for the first user based on the first preference indication according to an embodiment of the present disclosure are described.

4A-4C illustrate details for performing a personalization action based on a first preference indication when the first preference indication indicates that the first user does not prefer a product purchased by another user associated with the first geographic area. These are flowcharts to illustrate operations.

First, the flowchart of FIG. 4A provides a notification that another user has purchased a product owned by the first user, consistent with the first preference indication that the first user does not prefer products purchased by other users associated with the first geographic area. This example illustrates detailed operations for performing personalized actions for delivery.

The device 110 may identify the first product owned by the first user (S411). For example, based on the first user's behavior history in the e-commerce service, a product purchased by the first user through the e-commerce service may be identified as the first product. As another example, a product registered in an e-commerce service by a first user may be identified as the first product. The first user may be allowed to register products purchased through other channels in the e-commerce service for various purposes, such as managing the user's product list or receiving recommendations or guidance related to the product. Embodiments of the present disclosure are not limited to these examples, and may use any method for identifying products held by the first user.

Device 110 may determine whether the first product and the second product are the same, in response to a second user associated with the first geographic area purchasing the second product (S412). Here, whether the second user is associated with the first geographic area can be determined similarly as described above for the first user. Additionally, the purchase of the second product by the second user may be determined based on the second user's behavior history in the e-commerce service provided by the device 110. Furthermore, whether the first product and the second product are the same may be determined by arbitrary criteria. For example, it may be determined whether the first product and the second product are the same based on the product classification code that the device 110 assigns to each product for an e-commerce service. As another example, whether the first product and the second product are the same by a machine learning model trained to infer the likelihood that the two products are the same by taking predetermined information about the two products (e.g., photos of clothes, etc.) as input. can be decided. Embodiments of the present disclosure are not limited to these examples and may use any method for determining whether the first product and the second product are the same.

In response to determining that the first product and the second product are the same, the device 110 may perform a personalization action to deliver a notification to the first user (S413). For example, a notification may provide a tool for listing a first product for sale on an e-commerce service. These tools may include links to web pages for listing products for sale in the e-commerce service. Embodiments of the present disclosure are not limited to this example, and may include informing the first user of any fact or providing any tool regarding the fact that the first product and the second product are the same.

Next, the flowchart of FIG. 4B provides details for performing a personalization action of recommending to the first user a product that matches the first preference indication that the first user does not prefer a product purchased by another user associated with the first geographic area. Illustrate the actions.

The device 110 may determine a plurality of candidate products (S421). For example, a plurality of candidate products may be determined based on various information (eg, age, gender, etc.) or behavior history about the first user. As a specific example, if the information about the first user meets the conditions such as age and gender presented by the advertiser, the product that the advertiser wishes to advertise may be determined as a candidate product. As another specific example, a specific type of product (eg, dress, suit) identified as having a purchase intention by the first user based on the first user's behavior history may be determined as a candidate product. Embodiments of the present disclosure are not limited to these examples, and may use any method for determining a product to be recommended to the first user as a candidate product.

The device 110 may assign a non-purchase score to each of the plurality of candidate products based on the purchase history in the e-commerce service of each of one or more other users associated with the first geographic area (S422). The non-purchase score can be higher as the number of purchases made by other users decreases. For example, the non-purchase score for each candidate product can be calculated by multiplying the number of purchases by other users by the weight and subtracting the value from 100. Embodiments of the present disclosure are not limited to this example, and may use any method to calculate the non-purchase score so as to show a trend opposite to the amount of purchases made by other users.

The device 110 may select one or more recommended products from a plurality of candidate products based on the non-purchase scores assigned to the plurality of candidate products (S423). For example, a predetermined number of recommended products can be selected in order of high non-purchase score. As another example, only one recommended product with the highest non-purchase score can be selected. As another example, candidate products with a non-purchase score of more than a threshold can be selected as recommended products regardless of the number or limited to a predetermined number. Embodiments of the present disclosure are not limited to these examples, and may use any method for selecting recommended products with relatively high non-purchase scores.

The device 110 may perform a personalization action to recommend one or more recommended products to the first user (S424). For example, device 110 may take an action to send a push message containing content about one or more recommended products to user device 120, or display content about one or more recommended products on user device 120. You can perform actions to output within a specific web page. Embodiments of the present disclosure are not limited to this example and may use any method to encourage users to purchase recommended products.

Finally, the flowchart of FIG. 4C illustrates detailed operations for enabling a first user identified as not preferring a product purchased by another user associated with the first geographic area to authenticate the initial purchase of a specific product.

In response to the first user purchasing the first product, the device 110 may determine whether the first user was the first to purchase the first product among all users associated with the first geographic area (S431). Here, the purchase of the first product by the first user may be determined based on the first user's behavior history in the e-commerce service provided by the device 110. Additionally, whether each user is associated with a first geographic area may be determined similarly as described above for the first user. Furthermore, based on the behavior history in the e-commerce service of each user determined to be associated with the first geographic area, it may be identified whether there are users other than the first user who purchased the first product. Embodiments of the present disclosure are not limited to this example, and any method may be used to determine whether the first user purchases the product for the first time.

Apparatus 110 includes a tool that allows the first user to authenticate the first purchase of the first product in response to a determination that the first user is the first among all users associated with the first geographic area to purchase the first product. Personalization actions can be performed to provide (S432). For example, pre-written template content in a form that can be uploaded to one or more social network services, a tool for modifying and uploading such template content, or a link to such content or tools may be provided. Such template content may include example user review text. Embodiments of the present disclosure are not limited to this example, and may use any method to facilitate authentication of the first user's initial purchase of the product.

5 illustrates personalization suggesting that a first user form or join a user group with another user if the first preference indication indicates that the first user prefers products purchased by another user associated with the first geographic area. This is a flowchart to illustrate detailed operations for performing an action.

Device 110 is configured to select one or more other users from the plurality of other users based on the first user's behavioral history in the e-commerce service and the behavioral history in the e-commerce service of each of the plurality of other users associated with the first geographic area. can be selected (S501). For example, when a first user purchases a bicycle, other users who have purchased a bicycle can be selected. As another example, when a first user purchases an exam book, other users who have purchased a related exam book can be selected. Embodiments of the present disclosure are not limited to these examples, and may use any method to select other users who show similar tendencies to the first user.

Device 110 may perform a personalization action to provide a tool that allows the first user to form a new user group with one or more other users or to join an existing user group to which one or more other users belong (S502 ). For example, a user who has purchased a bicycle may be suggested to create a bicycle club group with other users who have purchased a bicycle. As another example, a user who has purchased an exam book may be suggested to create a study group with other users who have purchased an exam book for the same test. If there already exists a group on the same topic created by other users, you can suggest joining that group. When a group is formed, the device 110 may provide users in the group with a service that allows them to share information about common interests (e.g., progress toward an exam, distance traveled on a bicycle, route, etc.). . Embodiments of the present disclosure are not limited to these examples and may use any scheme to facilitate a first user forming a group with other users or joining an existing group.

In the flowcharts of this disclosure, the operations of the method or algorithm are described in a sequential order, but in addition to being performed sequentially, they may also be performed according to an order that can be arbitrarily combined. The description of the flowcharts of this disclosure does not exclude making changes or modifications to the method or algorithm, nor does it imply that any operation is required or desirable. In one embodiment, at least some of the operations may be performed in parallel, iteratively, or heuristically. In another embodiment, at least some operations may be omitted or other operations may be added.

Various embodiments of the present disclosure may be implemented as software on a storage medium (MRSM, Machine-Readable Storage Medium) that can be read by a computing device. The software may be software for implementing various embodiments of the present disclosure. Software can be inferred from various embodiments of the present disclosure by programmers in the technical field to which this disclosure pertains. For example, software may be a computer program that contains instructions that can be read by a computing device. A computing device is a device that can operate according to instructions retrieved from a storage medium, and may be referred to interchangeably with, for example, an electronic device. In one embodiment, a processor of the computing device may execute the called instruction, causing components of the computing device to perform a function corresponding to the instruction. A storage medium may refer to any type of recording medium in which information is stored that can be read by a device. Storage media may include, for example, ROM, RAM, CD-ROM, magnetic tape, floppy disk, or optical information storage devices. In one embodiment, the storage medium may be implemented in a distributed form, such as in a networked computer system. At this time, the software may be distributed, stored, and executed on a computer system, etc. In another embodiment, the storage medium may be a non-transitory storage medium. Non-transitory storage media refers to media that exist regardless of whether information is stored semi-permanently or temporarily, and do not include signals that propagate temporarily (transitory).

Although the technical idea according to the present disclosure has been described above through various embodiments, the technical idea according to the present disclosure can be variously replaced, modified, and changed within a range that can be understood by those skilled in the art in the technical field to which the present disclosure pertains. Includes. Additionally, it is to be understood that such substitutions, modifications and alterations may be included within the scope of the appended claims.

Claims (15)

delete A method performed by a device for providing an e-commerce service, comprising:
Obtaining a first preference indication indicating whether a first user associated with a first geographic area prefers products purchased by another user associated with the first geographic area; and
performing a personalized action for the first user based on the first preference indication.
Including,
the first preference indication indicates that the first user does not prefer a product purchased by another user associated with the first geographic area;
The step of performing a personalized action for the first user includes:
identifying a first product owned by the first user;
In response to a second user associated with the first geographic area purchasing a second product, determining whether the first product and the second product are the same; and
In response to determining that the first product and the second product are the same, performing a personalization action to deliver a notification to the first user.
Method, including. According to paragraph 2,
The method of claim 1, wherein the notification provides a tool for listing the first product for sale on the e-commerce service. A method performed by a device for providing an e-commerce service, comprising:
Obtaining a first preference indication indicating whether a first user associated with a first geographic area prefers products purchased by another user associated with the first geographic area; and
performing a personalized action for the first user based on the first preference indication.
Including,
the first preference indication indicates that the first user does not prefer a product purchased by another user associated with the first geographic area;
The step of performing a personalized action for the first user includes:
determining a plurality of candidate products;
assigning a non-purchase score to each of a plurality of candidate products based on a purchase history in the e-commerce service of each of one or more other users associated with the first geographic area;
selecting one or more recommended products from among the plurality of candidate products based on non-purchase scores assigned to the plurality of candidate products; and
Performing a personalization action to recommend the one or more recommended products to the first user
Method, including. A method performed by a device for providing an e-commerce service, comprising:
Obtaining a first preference indication indicating whether a first user associated with a first geographic area prefers products purchased by another user associated with the first geographic area; and
performing a personalized action for the first user based on the first preference indication.
Including,
the first preference indication indicates that the first user does not prefer a product purchased by another user associated with the first geographic area;
The step of performing a personalized action for the first user includes:
In response to the first user purchasing a first product, determining whether the first user is the first among all users associated with the first geographic area to purchase the first product; and
In response to determining that the first user is the first among all users associated with the first geographic area to purchase the first product, a tool that allows the first user to authenticate the first purchase of the first product Steps to perform personalization actions to provide
Method, including. delete According to any one of claims 2 to 5,
Based on location information about the first user, determining that the first user is associated with the first geographic area.
How to further include . According to any one of claims 2 to 5,
determining that the first user is further associated with a second geographic area; and
Obtaining a second preference indication indicating whether the first user prefers products purchased by another user associated with the second geographic area.
How to further include . delete As a device for providing e-commerce services,
One or more processors; and
When executed by the one or more processors, it includes one or more memories storing instructions that cause the one or more processors to perform an operation,
The one or more processors:
obtain a first preference indication indicating whether a first user associated with a first geographic area prefers products purchased by another user associated with the first geographic area;
Perform a personalized action for the first user based on the first preference indication,
the first preference indication indicates that the first user does not prefer a product purchased by another user associated with the first geographic area;
Performing a personalized action for the first user includes:
identifying a first product owned by the first user;
identifying a second product purchased through the e-commerce service by a second user associated with the first geographic area;
determining whether the first product and the second product are the same; and
In response to determining that the first product and the second product are the same, performing a personalization action to provide a notification to the first user.
Device, including. As a device for providing e-commerce services,
One or more processors; and
When executed by the one or more processors, it includes one or more memories storing instructions that cause the one or more processors to perform an operation,
The one or more processors:
obtain a first preference indication indicating whether a first user associated with a first geographic area prefers products purchased by another user associated with the first geographic area;
Perform a personalized action for the first user based on the first preference indication,
the first preference indication indicates that the first user does not prefer a product purchased by another user associated with the first geographic area;
Performing a personalized action for the first user includes:
determining a plurality of candidate products;
assigning a non-purchase score to each of a plurality of candidate products based on purchase history in the e-commerce service of each of one or more other users associated with the first geographic area;
selecting one or more recommended products from the plurality of candidate products based on non-purchase scores assigned to the plurality of candidate products; and
Performing a personalization action to recommend the one or more recommended products to the first user
Device, including. As a device for providing e-commerce services,
One or more processors; and
When executed by the one or more processors, it includes one or more memories storing instructions that cause the one or more processors to perform an operation,
The one or more processors:
obtain a first preference indication indicating whether a first user associated with a first geographic area prefers products purchased by another user associated with the first geographic area;
Perform a personalized action for the first user based on the first preference indication,
the first preference indication indicates that the first user does not prefer a product purchased by another user associated with the first geographic area;
Performing a personalized action for the first user includes:
In response to the first user purchasing a first product, determining whether the first user was the first among all users associated with the first geographic area to purchase the first product; and
In response to determining that the first user is the first among all users associated with the first geographic area to purchase the first product, a tool that allows the first user to authenticate the first purchase of the first product Performing personalized actions to provide
Device, including. delete According to any one of claims 10 to 12,
The one or more processors further:
Based on location information about the first user, determine that the first user is associated with the first geographic area. In a non-transitory computer-readable recording medium on which instructions are recorded,
The instructions, when executed by one or more processors, cause the one or more processors to:
A non-transitory computer-readable recording medium for performing the method of any one of claims 2 to 5.

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