KR20240034088A - Method of providing interface for providing customized kitchen utensils based on preference and purchase history - Google Patents

Abstract

One embodiment of the present invention may provide a method for providing an interface for providing customized kitchen appliances based on preferences and purchase history.

Description

Method of providing interface for providing customized kitchen appliances based on preferences and purchase history {METHOD OF PROVIDING INTERFACE FOR PROVIDING CUSTOMIZED KITCHEN UTENSILS BASED ON PREFERENCE AND PURCHASE HISTORY}

The present invention relates to a method of providing an interface for providing customized kitchen appliances based on preferences and purchase history.

Non-face-to-face has become a keyword, and along with the recent rapid growth of online shopping malls, artificial intelligence based on big data is developing into various fields, and commercialization is expanding through this. In particular, the artificial intelligence customized recommendation service based on customer visit records in online shopping malls improves user convenience by introducing brands and recommending products with a higher probability of matching customers' tastes and preferences. Compared to offline shopping malls, online shopping malls allow users to access a variety of desired products in less time and without moving, and their advantages are far superior to online shopping malls in terms of user convenience. Therefore, if customized services are provided that increase user convenience and efficiently provide users with the information they need, users can engage in convenient consumption activities. In order to increase user convenience, we recommend new products to customers based on information on product sites that customers frequently visit or data on sites that customers have purchased from, and recommend products that customers have previously purchased. If discount information and new products are introduced, it will be of great help to users who use these online shopping malls, and it will also have the advantage of enabling efficient consumption.

The present invention can provide a method to a user.

A method of recommending kitchen appliances for a user performed by a server according to an embodiment, comprising: obtaining purchase history information and preference information from a user terminal; determining a first kitchen appliance based on the purchase history information; determining a final product among first kitchen appliances based on the preference information; generating a first interface containing information about the final product; It may include displaying the first interface on the user terminal.

In a method of recommending kitchen appliances for a user performed by a server according to an embodiment, the purchase history information includes product information purchased within a predetermined number of months from now, and the first kitchen is based on the purchase history information. The step of determining the appliance may include determining the first kitchen appliance based on product information purchased within a predetermined number of months from now.

In a method of recommending kitchen appliances for a user performed by a server according to an embodiment, the step of determining the first kitchen appliance based on product information purchased within a predetermined number of months from the present includes, the database of the server deriving similar figures between products stored in and products purchased within a predetermined number of months from the present; and determining the first kitchen appliance based on the similar value.

In a method of recommending kitchen appliances for a user performed by a server according to an embodiment, deriving the similar value may be performed using the following equation, [Equation] ,

In the method of recommending kitchen appliances for a user performed by a server according to an embodiment, the preference information includes preference price information, preference product information, and preference feature information, and based on the preference information among first kitchen appliances The step of determining the final product includes deriving the preference value based on the preference price information, preference product information, and preference feature information; and determining the final product based on the preference value.

The present invention can improve user satisfaction by providing kitchen appliances suitable for users.

The present invention can improve user convenience by providing kitchen appliances in consideration of the user's purchase history.

The accompanying drawings, which are included as part of the detailed description to aid understanding of the various embodiments, provide various embodiments and, together with the detailed description, describe technical features of the various embodiments.
1 is a diagram illustrating the operation of a processor according to an embodiment.
Figure 2 is a diagram illustrating the operation of a server according to an embodiment.
Figure 3 is a diagram illustrating an operation of determining a final product, creating a first interface, and displaying it on a user terminal according to an embodiment.
Figure 4 is a diagram illustrating an operation of determining a first kitchen appliance according to an embodiment.
Figure 5 is a diagram illustrating an operation for determining a final product according to one embodiment.
Figure 6 is a diagram illustrating an operation of displaying a first interface on a user terminal according to an embodiment.

Since the present invention can make various changes and have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood to include all changes, equivalents, and substitutes included in the spirit and technical scope of the present invention. While describing each drawing, similar reference numerals are used for similar components.

Terms such as first, second, A, B, etc. may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, a first component may be named a second component, and similarly, the second component may also be named a first component without departing from the scope of the present invention. The term “and/or” includes any combination of a plurality of related stated items or any of a plurality of related stated items.

When a component is said to be "connected" or "connected" to another component, it is understood that it may be directly connected to or connected to the other component, but that other components may exist in between. It should be. On the other hand, when it is mentioned that a component is “directly connected” or “directly connected” to another component, it should be understood that there are no other components in between.

The terms used in this application are only used to describe specific embodiments and are not intended to limit the invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of one or more other features. It should be understood that this does not exclude in advance the possibility of the existence or addition of elements, numbers, steps, operations, components, parts, or combinations thereof.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the technical field to which the present invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related technology, and unless explicitly defined in the present application, should not be interpreted in an ideal or excessively formal sense. No.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the attached drawings. In order to facilitate overall understanding when describing the present invention, the same reference numerals are used for the same components in the drawings, and duplicate descriptions of the same components are omitted.

Figure 1 is a diagram illustrating the operation of a processor belonging to the server 1 according to an embodiment. Looking specifically at FIG. 1, at least one processor 110 is a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to embodiments of the present invention are performed. It may mean a processor. Each of the memory 120 and the storage device 160 may be comprised of at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory 120 may be one of read only memory (ROM) and random access memory (RAM), and the storage device 160 may be flash memory. , a hard disk drive (HDD), a solid state drive (SSD), or various memory cards (eg, micro SD card).

Additionally, the server 1 may be included in the server and may include a transceiver 130 that performs communication through a wireless network. Additionally, the server 1 may further include an input interface device 140, an output interface device 150, a storage device 160, etc. Each component included in the server 1 is connected by a bus 170 and can communicate with each other.

Figure 2 is a diagram illustrating the operation of a server according to an embodiment. Figure 3 is a diagram illustrating an operation of determining a final product, creating a first interface, and displaying it on a user terminal according to an embodiment.

Looking at FIGS. 2 and 3 in detail, the server can obtain purchase history information and preference information from the user terminal. Purchase history information may indicate history information of purchased products purchased by accessing a server through a user terminal. Preference information is information entered by the user and may indicate information about preferred products. The server may determine the first kitchen appliance based on purchase history information and determine a final product among the first kitchen appliances based on the preference information. The operation of determining the first kitchen appliance and the final product will be described in detail later. The server may create a first interface containing information about the final product. The first interface is an interface where the final product is recommended and can receive user input, and the final purchase can be made through the user's input. The server may output a signal that displays the first interface to the user terminal. At this time, the first interface may obtain input information of the user terminal.

The server (1) can transmit and receive signals with the first external server (2) and the second external server (3),

The server may obtain purchase history information and preference information from the user terminal (301), determine the first kitchen appliance (302), determine the final product, and create the first interface (303), The first interface may be displayed (304) on the user terminal.

Figure 4 is a diagram illustrating an operation of determining a first kitchen appliance according to an embodiment.

Looking at FIG. 4 in detail, the purchase history information of the server may include information on products purchased within a predetermined number of months from now. The server may determine the first kitchen appliance based on product information purchased within a predetermined number of months from now.

At this time, similar figures can be derived between products stored in the server's database and products purchased within a predetermined number of months from now. The server may determine the first kitchen appliance based on similar values. At this time, similar figures can be derived using the following equation.

The represents the number, Qa represents a similarity value corresponding to the a-th similar numerical element, Xa represents a weight corresponding to the similarity value corresponding to the a-th similar numerical element, and Ws-Hn represents the Indicates the difference between the price of the product purchased within a predetermined number of months from now and the price of the product stored in the database of the server, represents a weight corresponding to the difference between the price of the product purchased within a predetermined number of months from now and the price of the product stored in the database of the server.

Deriving the type similarity, purchase age similarity, and rating similarity between the product purchased within a predetermined number of months from now and the product stored in the database of the server may be as follows.

Product type similarity may be tabulated for each product in advance, and similarity between tabulated categories may be determined.

In one embodiment, the similarity between types of products may be set in advance to a similarity of 80 for a washing machine and a dryer, a similarity of 30 for a washing machine and a vacuum cleaner, etc.

The server may derive a similar value (401) and determine the first kitchen appliance (402).

Figure 5 is a diagram illustrating an operation for determining a final product according to one embodiment.

Looking at Figure 5 in detail, preference information may include preference price information, preference product information, and preference feature information. Preferred price information may include information about the purchase amount set by the user. Preferred product information may indicate the type of product preferred by the user. In this case, based on the similarity of the type of product above, it can be set so that the higher the similarity is above a certain level, the higher the score is added. Preference characteristic information refers to the characteristics of the type of product preferred, such as products preferred by people of the same age group as the user, products preferred by MBTIs that are the same as or similar to the user's MBTI, color of the product preferred by the user, and product preferred by the user. It may include information about functions, etc.

The server may derive a preference value based on preference price information, preference product information, and preference feature information, and determine the final product based on the preference value. At this time, the preference value is derived based on the preferred price information, preferred product information, and preferred feature information by comparing the contents of the preferred price information, preferred product information, and preferred feature information among the products stored in the server database. can be determined as the final product.

At this time, the preferred value can be derived by Equation 2 as follows.

[Equation 2]

,

The VX represents the preference value, the d represents the number of preference value elements including the preference price information and the preference product information, the Ic represents a value corresponding to the c-th preference value element, Pc represents a weight corresponding to the c-th preferred numerical element, and f represents a product preferred by the same age group of the user, a product preferred by an MBTI similar to the MBTI of the user, the color of the product preferred by the user, represents the number of elements included in preference feature information including the function of the product preferred by the user, Ye represents a value corresponding to an element included in the e-th preference feature information, and Ue represents the e-th It represents a weight corresponding to an element included in preference feature information, and the X may represent a similar numerical value. The Sa represents the discount rate of the product stored in the server's database, and the K represents the date calculated after the product stored in the server's database was released.

At this time, the value corresponding to the preference numerical element may be an inversely proportional value of the price difference by comparing the preference price entered by the user with the prices of products stored in the server's database, in the case of preference price information, and the preference product information In the case of , it means the degree of similarity between the type of preferred product and the product stored in the server's database, which can be derived in the same way as the similarity figure above. At this time, the difference from deriving similar figures is that products with past purchase history are compared and the type of preferred product is entered and the type of product entered is compared with the type of product stored in the server database. There is a difference.

Deriving values corresponding to elements included in preference feature information can be as follows.

In the case of products preferred by people of the same age group as the user, information about products preferred by people of the same age group as the user can be obtained from a first external server, and this is compared with the type of product stored in the server's database, similar to the method above. The similarity rate can be substituted. In the case of a product preferred by an MBTI similar to the user's MBTI, information on the product preferred by MBTI is obtained from a second external server, and then the product preferred by the user's MBTI is compared with the product stored in the server's database, and this is also a similarity rate. can be substituted. In the case of the color of the product preferred by the user, if the user inputs the preferred color, a similarity rate with the color of the product stored in the server's database can be derived. At this time, the color similarity rate can be pre-stored in the server's database or obtained from a third external server. In the case of the function of a product preferred by the user, if the user prefers a specific function, the function is pre-entered in the product stored in the server database, so a value of +1 for the number of overlaps can be assigned.

The server may derive 501 preferred values and determine 502 the final product.

Figure 6 is a diagram illustrating an operation of displaying a first interface on a user terminal according to an embodiment.

The server 1 can display information about the final recommended product on the first interface 10 and display it on the user terminal. At this time, if a frying pan, pot, or ladle is recommended, information such as price, brand rating, etc. may be entered.

User terminals capable of communication include desktop computers, laptop computers, laptops, smart phones, tablet PCs, mobile phones, and smart watches. ), smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera, DMB (digital multimedia broadcasting) player, digital voice recorder (digital) It may be an audio recorder, a digital audio player, a digital video recorder, a digital video player, and a PDA (Personal Digital Assistant).

When using machine learning, deep learning models can be used and can be performed using machine learning models. At this time, the learning data set may include various information acquired from various external servers, and a supervised learning method may be used. At this time, the deep learning model module may use a deep neural network (DNN) algorithm. Without being limited to what has been described, Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Restricted Boltzmann Machine (RBM), and Deep Belief Network (DBN) algorithms may be used. It can be used, and since each algorithm is a well-known technology, description is omitted.

Methods according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. Computer-readable media may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on a computer-readable medium may be specially designed and constructed for the present invention or may be known and usable by those skilled in the computer software art.

Examples of computer-readable media may include hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions may include machine language code such as that created by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The above-described hardware device may be configured to operate with at least one software module to perform the operations of the present invention, and vice versa.

Additionally, the above-described method or device may be implemented by combining all or part of its components or functions, or may be implemented separately.

Although the present invention has been described above with reference to preferred embodiments, those skilled in the art may make various modifications and changes to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that you can do it.

Methods according to the present invention may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. Computer-readable media may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on a computer-readable medium may be specially designed and constructed for the present invention or may be known and usable by those skilled in the computer software art.

Examples of computer-readable media may include hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions may include machine language code such as that created by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc. The above-described hardware device may be configured to operate with at least one software module to perform the operations of the present invention, and vice versa.

Additionally, the above-described method or device may be implemented by combining all or part of its components or functions, or may be implemented separately.

Although the present invention has been described above with reference to preferred embodiments, those skilled in the art may make various modifications and changes to the present invention without departing from the spirit and scope of the present invention as set forth in the claims below. You will understand that you can do it.

Claims (1)

In a method of recommending kitchen appliances for a user performed by a server,
Obtaining purchase history information and preference information from a user terminal;
determining a first kitchen appliance based on the purchase history information;
determining a final product among first kitchen appliances based on the preference information;
generating a first interface containing information about the final product; and
Comprising: displaying the first interface on the user terminal,
The first interface can obtain input information of the user terminal,
The purchase history information includes product information purchased within a predetermined number of months from now,
The step of determining the first kitchen appliance based on the purchase history information,
A step of determining the first kitchen appliance based on product information purchased within a predetermined number of months from now,
The step of determining a final product among the first kitchen appliances based on the preference information,
Deriving a preference value based on preferred price information, preferred product information, and preferred feature information included in the preference information; and
Determining the final product based on the preference value,
The preference value is derived based on the following equation,
,
The VX represents the preference value, the d represents the number of preference value elements including the preference price information and the preference product information, the Ic represents a value corresponding to the c-th preference value element, and Pc represents a weight corresponding to the c-th preference numerical element, f represents a product preferred by the same age group of the user, a product preferred by an MBTI similar to the MBTI of the user, the color of the product preferred by the user, represents the number of elements included in preference feature information including the function of the product preferred by the user, Ye represents a value corresponding to an element included in the e-th preference feature information, and Ue represents the e-th Indicates a weight corresponding to an element included in the preference feature information, and X may represent a similar numerical value. Wherein Sa represents the discount rate of the product stored in the database of the server, and K represents the date calculated after the product stored in the database of the server was released.