KR102602610B1 - method and device for generating a list of interests and possessions using user data - Google Patents

Abstract

The present invention relates to a method of collecting and analyzing user data and generating information about the user's interests and possessions in the form of a list, and a device for providing the same.
To this end, the user's behavior patterns, search history, purchase history, etc. are analyzed to derive information about interests and possessions, and this is provided in the form of a list so that other users can easily access it.
The device for this consists of software or hardware with data collection and analysis functions, and includes security functions to safely manage and analyze users' data.

Description

Method and device for generating a list of interests and possessions using user data {method and device for generating a list of interests and possessions using user data}

The present invention relates to a method of collecting and analyzing user data and generating information about the user's interests and possessions in the form of a list, and a device for providing the same.

To this end, the user's behavior patterns, search history, purchase history, etc. are analyzed to derive information about interests and possessions, and this is provided in the form of a list so that other users can easily access it.

The device for this consists of software or hardware with data collection and analysis functions, and includes security functions to safely manage and analyze users' data.

In recent years, networks such as wired and wireless Internet and intranet have been widely used as popular means of communication, and based on this, the World Wide Web allows members of society to share information or gain knowledge. Means such as the web, e-mail, and messenger are actively used.

In addition, recently, Internet services have been actively developed to not only use the above network as a means of communication, but also to build an online human network by utilizing it. A human network refers to a virtual network made up of individuals who have become acquaintances through social life. Acquaintance relationships refer to a range of other people who can be trusted to a certain degree as a result of sharing a certain amount of information, experience, ideals, community affiliation, etc., and such acquaintance relationships are derived from a certain prior acquaintance relationship. The general form of social life is that people get to know each other through blood, school, or local ties, by belonging to a specific organization, or by performing joint tasks through a company or team.

Meanwhile, with the development and spread of networks such as the Internet, it has become possible to form and maintain such acquaintance relationships online. We support the active construction of such human networks among users online, and turn the established human networks into a database so that people with desired abilities and experience can be searched based on this, or new acquaintances and Various service technologies are being proposed to enable people to establish online human network relationships, to further expand their human networks based on those relationships, and to share various files or information.

As mentioned above, representative social network services that allow you to establish online social relationships and engage in various activities such as email, messenger, and community activities with acquaintances with whom you have established social relationships are Cyworld ^TM , Twitter ^TM , and Face. There are services such as Book (facebook ^TM ).

In such social network services, a user requests the establishment of an online relationship with another person connected to the network through means such as mail, messenger, or pop-up message, and the other person who has received the request usually responds. Due to the 1:1 relationship between two users established in this way, each user is incorporated into an online human network formed between other users who have a separate 1:1 relationship with each other. In this way, when incorporated into an online human network, not only users who have a direct acquaintance relationship with oneself (primary acquaintance relationship), but also other users who have a primary acquaintance relationship with those acquaintances (secondary acquaintance relationship) and continuous acquaintance through them It becomes possible to search for the person you want (e.g., classmate, specific professional, etc.) among other users (n-th degree acquaintance relationship), and through this, you can be introduced to the searched user or request the establishment of a new acquaintance relationship. This becomes possible.

With the recent development of information and communication technology, users can share and record their interests and possessions with their acquaintances through social networking services. However, currently, social network services are limited to simply posting photos or writing, so systematic management of users' interests and possessions is needed. Therefore, there is a need for a method, device, and system for easily sharing and exchanging information about a user's interests or possessions with people around him through systematic management of the user's interests or possessions.

(001) Domestic Published Patent No. 10-2012-0095199 (2012.08.28) (002) Domestic Published Patent No. 10-2013-0133632 (2013.12.09)

The purpose of the present invention to solve the above problems is to generate information about user interests and possessions based on user information in the form of a list.

The technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the description below. You will be able to.

The present invention provides a device for creating a list-up.

A device for creating a list, comprising: a communication department; And a processor functionally connected to the communication unit, wherein the processor receives first list-up creation information from a first user device and receives second list-up creation information from a second user device, Generate a first list-up based on the first list-up information and generate a second list-up based on the second list-up information, analyze the degree of matching of the first list-up and the second list-up, The first list-up is transmitted to the second user device based on the matching degree, the second list-up is transmitted to the first user device based on the matching degree, and the first list-up creation information is It is information related to the interests or possessions of the first user, the second list-up creation information is information related to the interests or possessions of the second user, and the degree of matching is the degree of agreement between the first list-up and the second list-up. It is determined based on, and the first list-up is transmitted to the second user device only when the degree of agreement is greater than or equal to a preset value, and the second list-up is transmitted to the first user device.

The degree of consistency may be determined based on the list order of the first list-up and the second list-up.

The degree of agreement can be determined based on the equation below.

[Equation]

The first list-up creation information and the second list-up creation information may be divided into a higher-level category and a lower-level category belonging to the higher-level category.

The degree of matching may be determined by applying different weights between the upper category and the lower category.

One embodiment of the present invention has the effect of systematically managing the user's interests and possessions in the form of a list and sharing them with nearby acquaintances.

The effects that can be obtained from the present invention are not limited to the effects mentioned above, and other effects not mentioned can be clearly understood by those skilled in the art from the description below. will be.

Embodiments of the present invention will be clearly understood from the following description taken in conjunction with the accompanying drawings, in which like reference numerals are used to designate identical or similar elements, features, or structures.
Figure 1 shows the configuration of a list-up creation system, and Figure 2 shows a block diagram of a server for list-up creation.
Figure 3 shows a method of collecting information to create a listup, and Figure 4 is a flowchart showing the listup creation process.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

The present invention does not explain content known to those familiar with the relevant technical field, and technical parts not directly related to the present invention are omitted. This is to clearly convey the core of the present invention by removing unnecessary explanations.

Additionally, in the accompanying drawings, some components are exaggerated, omitted, or simplified, and the size of each component may differ from the actual size. In the drawings, identical or corresponding components are given the same reference numbers.

The advantages, features and implementation methods of the present invention can be clearly understood by referring to the detailed description of the embodiments together with the accompanying drawings. However, the present invention is not limited to these embodiments and may be implemented in various forms. The examples are provided to complete the disclosure of the invention, and the invention is defined by the scope of the claims. Reference signs indicate like elements throughout the specification.

In describing the embodiments of the present invention in detail, the main focus will be on the example of a specific system, but the main point claimed in this specification is that the scope disclosed in this specification is applicable to other communication systems and services with similar technical background. It can be applied within a range that does not deviate significantly, and this can be done at the discretion of a person with skilled technical knowledge in the relevant technical field.

Figure 1 is a diagram showing the configuration of a system for generating a list-up according to an embodiment of the present invention.

Referring to FIG. 1, the system for producing an advertisement according to the present invention includes a list-up creation server 120, a first user device 130, and a second user device 140 connected through a communication network 110. It can be configured to include.

Here, the communication network 110 may be a wired/wireless communication network accessible to the list-up creation server 120, the first user device 130, and the second user device 140.

The list-up creation server 120 may receive relevant information from the first user device 130 and the second user device 140 to create a list of the user's interests and/or possessions according to the present invention. , Based on the provided information, the function of generating list-up information based on the information can be performed. Additionally, a function of providing the generated list-up information to the first user device 130 and the second user device 140 through the communication network 110 may be performed. At this time, the list-up providing server 120 provides customized advertisements to the first user device 130 and the second user device 140 based on the information provided by the first user device 130 and the second user device 140. may also be provided. At this time, the advertisement provided may be an advertisement provided by the list-up creation server 120 from an external advertisement provider. Additionally, the list-up creation server 120 can provide a messenger function that can be used between each user, and can sell or provide emoticons, etc., that can be used in the messenger to users. Additionally, the listup creation server 120 may provide different storage capacities depending on the fee provided by each user to the listup creation server 120.

The first user device 130 and the second user device 140 may be devices used by users who wish to receive a list of the user's interests and/or possessions from the server. At this time, users may provide the listup creation server 120 with information necessary to create a listup about each user's interests and/or possessions.

At this time, the first user device 130 and the second user device 140 are specifically communication-capable desktop computers, laptop computers, laptops, smart phones, and tablets. PC (tablet PC), mobile phone, smart watch, smart glass, e-book reader, PMP (portable multimedia player), portable game console, navigation device, digital camera (digital camera), DMB (digital multimedia broadcasting) player, digital audio recorder, digital audio player, digital video recorder, digital video player, PDA (Personal Digital Assistant), Head Up Display (HUD), etc.

Figure 2 is a block diagram showing an advertisement production server according to an embodiment of the present invention.

Referring to FIG. 2, the list-up creation server 120 according to an embodiment of the present invention may be configured to include a communication unit 210, a processor 220, and a memory 230. At this time, the communication unit 210, processor 220, and memory 230 may be functionally connected to each other. The memory 230 may perform a function of storing instructions that instruct the processor 220 to perform at least one step that is a configuration of a method for the listup generation server 120 to generate information in the form of a listup. .

The communication unit 210 may perform communication between the list-up creation server 120, the first user device 130, and the second user device 140 through the communication network 110 described in FIG. 1. Listup creation server 120 collects information about each user, interests and/or possessions of each user from each user using the first user device 130 and the second user device 140. and can generate information about each user's interests and/or possessions in the form of a list.

The processor 220 may refer to 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. Specifically, the processor 220 may analyze information about users received from the first user device 130 and the second user device 140 and information about each user's interests and/or possessions. At this time, the information about the user may be information about the user's age (e.g., teenagers, 20s, 30s, 40s, etc.), gender, hometown, current residential area, occupation, etc. Information about each user's interests and/or possessions may be divided into upper categories and lower categories. At this time, each user may directly provide information about each user's interests and/or possessions to the listup creation server 120. In addition, the list-up creation server 120 provides information about the interests and/or possessions of each user to each user, so that each user receives information about the provided upper/lower category. Based on this, information about each user's interests and/or possessions may be provided. For example, each user's interests may be travel, music, food, etc., and each user's possessions may be books, clothing, electronic devices, etc. At this time, the upper category for each user's interests may be travel, music, food, etc., and the upper category for each user's possessions may be books, clothing, electronic devices, etc.

The processor 220 may be a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor according to an implementation example of the present invention. The processor 220 may analyze user information received from the first user device 130 and the second user device 140 and each user's interests and/or possession information. User information may include age, gender, hometown, residential area, occupation, etc., and each user's interests and/or possession information may be classified into upper and lower categories. Users may directly provide their information to the listup creation server 120, and the listup creation server 120 provides upper/lower category information to each user so that users can provide interests and/or possession information. make it possible For example, users' interests may be travel, music, food, etc., and possession information may include books, clothing, electronic devices, etc. Each user's interests and possession information are divided into upper categories (e.g. travel, books) and lower categories (e.g. domestic travel, novels).

The lower category may represent lower level information about interests or possessions indicated by the higher level category, and the lower level category may be matched to the higher level category. For example, if the upper category is travel among the interests of each user, the lower category may be each travel destination (region). Specifically, it can be divided into domestic and international. Domestic travel destinations may include Seoul, Jeju Island, Incheon, and Busan, and overseas travel destinations may include the United States, Europe, Japan, and France.

The processor 220 may generate a list-up based on information about each user's interests and/or destinations. List-up, as described in this specification, means making a list, and may mean creating a list of interests and/or objects of each user.

The processor 220 may analyze information about each user and information about each user's interests and/or destinations. Specifically, the processor 220 gives different weights to the upper category and lower category for information about each user, interests and/or objects of each user, and lists the first user and the second user. The matching score can be calculated. Then, the calculated matching score is compared with a preset value, and if the matching score is greater than or equal to the preset value, the second user can be recommended to the first user, and the first user can be recommended to the second user.

Processor 220 may analyze user data to generate a list of each user's interests and possessions. At this time, each user's information includes age, gender, residential area, occupation, etc. Additionally, each user's interests and possessions can be classified into high-level and low-level categories. For example, interests could be travel, music, food, etc., and possessions could be books, clothing, electronic devices, etc.

The processor 220 calculates a matching score between the first user and the second user based on each user's information and interest/possession list. At this time, the matching score can be increased by assigning weights to each category. If the calculated matching score is greater than or equal to a preset value, the second user may be recommended to the first user, or the first user may be recommended to the second user. This allows users to more actively communicate with each other about their interests and possessions.

To solve the above-mentioned problem, the following specific means can be proposed.

Gather more data: We need more data to more accurately predict users' interests and possessions. By collecting and analyzing the data needed to analyze users' behavior patterns or preferences, you can create more accurate prediction models.

Improved analysis algorithm: The accuracy of the analysis algorithm is directly related to the accuracy of the prediction model. Therefore, the accuracy of the prediction model can be improved by developing and applying more advanced analysis algorithms.

User personalization: It is important to provide customized services that reflect the characteristics and preferences of each user. In addition to making recommendations based on the user's interests or possession list, user satisfaction can be increased by providing a variety of services that the user may like.

Efficient recommendation system: The system that calculates matching scores must operate quickly and accurately. To achieve this, it is important to build an efficient recommendation system. To achieve this, technologies such as databases, algorithm optimization, and distributed processing can be actively utilized.

Referring to Table 1, the method for calculating the matching score based on weight is explained.

user Information about you
(20%, 10 points) Top Categories
(50%, 10 points) Subcategories
(30%, 10 points) first user Male, 20s books city second user Female, 20s books essay

Table 1 shows that 10 points is the maximum score with a 20% weight for user information, 10 points is the maximum score with a 30% weight for the upper category, and 10 points is the maximum score with a 50% weight for the lower category. . Regarding user information, the genders of the first user and the second user are different, but their ages (20s) are the same. Therefore, since 1 out of 2 pieces of information about the user matches, 5 points, which is 1/2 of the maximum score of 10 points, is obtained. If 5 points are multiplied by a weight of 20%, the final matching score for the information about the user is 1 point. It is calculated as Next, the upper category matches books for both the first and second users. Therefore, a maximum score of 10 points is obtained, and when multiplied by a weight of 50%, the final score for the upper category is calculated to be 5 points. Next, since the subcategories do not match between the first and second users, the score is calculated as 0. Accordingly, the matching score between the first user and the second user is 6 points (1 point + 5 points + 0 points). At this time, if the preset value is 5 points, the first user can be recommended the second user, and the second user can be recommended the first user. In Table 1, there are two types of information about the user: gender and age. However, as described above, it can further include information about hometown, current residence, occupation, etc., including gender and age. In addition, in the case of the upper category, only books are included in Table 1, but information on whether the book is domestic or foreign can be additionally included. Additionally, in the case of subcategories, only book types such as poetry and essays are included in Table 1, but specific book names may be added. Table 1 shows how to calculate the matching score by analyzing user profile information, and each The weight of information and maximum score are set. Specifically, information about the user may include gender, age range, hometown, current residential area, occupation, etc., and a weight is set for each of these. Top categories can include books, movies, music, etc., and weights and maximum scores are set for each of these. Subcategories represent specific items belonging to the parent category, and a maximum score is set for each of them.

Information about the user includes information such as gender and age group, and weights are set for each. For example, age group has a weight of 30% and the maximum score is 10. If the age ranges of the first user and the second user match, a maximum score of 10 points is obtained, and this can be multiplied by a weight of 30% to obtain a matching score of 3 points.

Top categories include books, movies, music, etc., with weights and maximum scores set for each. For example, a book has a weight of 50% and the maximum score is 10. If the top categories of the first user and the second user match the books, a maximum score of 10 points is obtained, and this can be multiplied by a weight of 50% to obtain a matching score of 5 points.

A subcategory represents a specific item belonging to a parent category. For example, subcategories of books include poetry, essays, etc. A maximum score is set for a subcategory, and if the subcategories of the first user and the second user match, the maximum score for that category can be obtained.

Next, the information analysis method for the upper category and lower category is as follows. First, based on the information entered by the user, information about the upper category and lower category is extracted for each user. At this time, the upper category refers to a major classification of products, and the lower category refers to a small classification of products. The method of extracting information about the upper category is to compare the information entered by the user with the product's major classification information and, if they match, extract information about the corresponding higher category. The method of extracting information about a subcategory is to compare the information entered by the user with the product's subcategory information and, if they match, extract information about the corresponding subcategory.

Once information extraction for the upper category and lower category is completed, a matching score is calculated by assigning weight to each information. At this time, the weight for the upper category is 30%, and the weight for the lower category is 50%. Additionally, the matching score for the upper category and lower category can each have a maximum of 10 points, and like the matching score for information about the user, the score is calculated by multiplying the weight according to the number of matching information.

Finally, the calculated matching score is compared with a preset value, and if the matching score is higher than the preset value, the corresponding users can be mutually recommended. The recommendation system can be applied in various situations, for example, in shopping malls, music streaming services, video streaming services, etc.

When creating a list-up, the processor 220 may receive information about the listing order of the list in advance from each user and generate the list-up based on this. For example, the first user may transmit information about three interests and three targets to the listup creation server 120. Also, when creating a list-up for a total of six interests and objects, information about the listing order of the list can be provided to the list-up creation server 120. For example, information about the listing order based on the top category can be provided. Specifically, if the information about the user's three interests is travel, music, and food, and the information about the three objects is books, clothing, and electronic devices, the information listed at the top is food, and the information listed next. The list-up creation server 120 may provide information in the following order: travel, books, clothing, music, and electronic devices.

The processor 220 may determine and analyze the degree of matching (score) for each user based on information about the listing order of the list obtained from each user. For example, the processor 220 compares the list listing order of the first user and the list listing order of the second user, compares the calculated matching score with a preset value, and sets the matching score to the preset value. In the above case, the second user can be recommended to the first user, and the first user can be recommended to the second user. At this time, the matching score may be calculated based on a preset weight for each listing order of the list.

Referring to Table 2, the method for calculating the matching score based on the listing order of the list is explained.

List listing order (weight) 1st list up 2nd list up 1st place (35%) travel travel 2nd place (25%) food books 3rd place (15%) books food 4th place (10%) Electronics Electronics 5th place (8%) music music 6th place (7%) clothes clothes

The first list-up in Table 2 is a list of interests and possessions provided by the first user, and the second list-up is a list of interests and possessions provided by the second user. Among the listing orders of the top category lists of interests and possessions provided by the first and second users, the ones that match are 1st (travel), 4th (electronic devices), 5th (music), and 6th (clothing). )am. At this time, the weight of the 1st rank is 35%, the weight of the 4th rank is 10%, the weight of the 5th rank is 8%, and the weight of the 6th rank is 7%. Assuming that the matching score when the listing order of the lists all match is 100 points, the matching score of the first and second users in Table 2 is 60 (100 points × 35% + 100 points × 10% + 100 points × 8% + 100 points × 7%) points. At this time, if the preset value is 50 points, the second user can be recommended the first user, and the first user can be recommended the second user. Additionally, the processor 220 may display the first user to the second user based on the match between the upper category or lower category for interests and/or possessions provided by the first user and the second user to the list creation server 120. The second user may be recommended to the first user. Specifically, by comparing the degree of agreement with a preset value, if the degree of agreement is greater than or equal to the preset value, the first user may be recommended to the second user, and the second user may be recommended to the first user. For example, in Table 2, 4 of the 6 listing orders match. Accordingly, the degree of agreement may be calculated as 4/6, and if the preset value is 1/2, the processor 220 may recommend the first user to the second user and the second user to the first user. In addition to the above technology, the processor 220 can analyze the user's search history and browsing patterns to determine the user's preferences and interests, and provide customized recommendation services based on this. In addition, after the first user and the second user are recommended, mutual evaluation can be performed through interaction, and based on this, the recommendation algorithm can be improved in the future. In addition, by adding a list of interests and possessions provided by a third user, it is possible to provide a function that can more accurately predict the match between the first user and the second user. Through this, it is possible to provide customized recommendation services to users and improve user experience. Although this system performs matching based on a list of the user's interests and possessions, this matching is done based on text. Therefore, for more accurate matching, media data such as images and videos must also be considered.

To do this, the system first uses feature data extracted from images or videos to create a list of the user's interests and possessions. Then, using this feature data, the similarity between images or videos is measured, and matching between users is performed based on this.

This method enables more accurate matching through analysis of media data, thereby improving the quality of matching between users. Additionally, these technical improvements can also improve the system's user adaptability.

This list-up function not only performs matching using existing user data, but can also improve matching performance by combining machine learning algorithms and artificial intelligence technology. For example, more accurate matching can be performed by analyzing each user's tastes based on provided user data and applying an appropriate matching algorithm for each user. Additionally, automatic classification and tagging of data provided by users enables fast and efficient data management and analysis. These technical additions will be of great help in developing more sophisticated matching algorithms and improving user experience as user data increases in the future.

For example, in one embodiment of the present invention, it is proposed to consider the location information of each user when matching between users. Through this, users living in the same area can be matched and exchanges and meetings between people in the community can be promoted.

Additionally, in one embodiment of the present invention, in addition to matching between users, a function is added that allows users to create and participate in meetings in real time. To this end, a function is provided that allows meeting organizers to create meetings based on their interests or possessions, and allows other users to participate in them in real time. By doing this, users can meet people with their own interests or hobbies and enjoy a richer social life.

Additionally, one embodiment of the present invention provides a function to promote communication between users so that they can continue to meet even after they meet through matching. To this end, a chat function is provided that allows users to share information with each other, and schedule sharing and appointment setting functions between users are also provided. Through this, users can continue to maintain relationships with each other even after meeting through matching.

If the degree of agreement is expressed mathematically, it is as shown in Equation 1 below.

[Equation 1]

Additionally, processor 220 may provide customized advertisements to each user based on information about the users, interests, and/or possessions provided by each user. For example, if the user sets travel as the upper category and the United States as the lower category, the processor 220 may provide advertisements for U.S. airline tickets, and specifically analyze the sales price of U.S. airline tickets in real time. You can also provide airlines with the lowest prices. Similarly, if the user sets electronic devices as the upper category and laptop as the lower category, the processor 220 may provide the user with an advertisement for the laptop.

Processor 220 may provide personalized advertising based on each user's information, interests, and possession information. For example, if the user sets the travel top category and selects the United States subcategory, the processor 220 may provide advertisements for United States airline tickets. To this end, the processor may analyze U.S. airline ticket sales prices in real time and provide information on airlines selling the lowest prices. Likewise, if the user sets the upper category of electronic devices and selects the lower category of laptops, the processor 220 may provide advertisements for laptops. To this end, the processor can optimize information and advertisements about the laptop and provide them to the user.

Another solution could be to supplement existing algorithms to provide personalized advertising while protecting users' data. To achieve this, more sophisticated data mining technologies and algorithms must be applied to analyze and classify users' personal information in more detail. For example, data such as user behavior patterns, purchase history, search terms, and email text, excluding sensitive personal information, should be analyzed in more detail, and based on this, users' interests and priorities should be more accurately identified.

Additionally, in order to protect personal information during this data analysis process, anonymization technology and data encryption technology must be applied to protect users' personal information from being leaked. In addition, we must seek ways to encourage users to selectively provide personal information and consent to receiving advertisements, so that users can have choices about collecting personal information and receiving advertisements. Through this, it will be possible to come up with a solution that takes into account both the importance of user privacy and ad targeting.

An additional measure is to introduce encryption technology to protect personal information. Encryption technology can be used to safely protect personal information and protect user data from malicious attacks. Additionally, when users enter personal information, they must be encouraged to do so through a secure connection, and security protocols must be used to ensure that data is transmitted safely. Additionally, when a security-related issue occurs, a response system must be established to enable immediate response. This security response system requires periodic testing and updates. Lastly, it is necessary to provide a safer service by educating users about personal information protection and establishing an education program to raise awareness of security.

The memory 230 may be comprised of at least one of a volatile storage medium and a non-volatile storage medium. For example, the memory 230 may be comprised of at least one of read only memory (ROM) and random access memory (RAM). The memory 230 may store instructions that instruct the processor 220 to perform at least one step that constitutes a method for the listup creation server 120 to generate a listup. At this time, the command specifically includes the steps of: receiving first list-up creation information from a first user device; Receiving, from a second user device, second listup creation information; generating a first list-up based on the first list-up information; generating a second list-up based on the second list-up information; Analyzing the degree of matching of the first list-up and the second list-up; transmitting the first list-up to the second user device based on the degree of matching; It may include transmitting the second list-up to the first user device based on the degree of matching. At this time, the first list-up creation information is information related to the interests or possessions of the first user, the second list-up creation information is information related to the interests or possessions of the second user, and the degree of matching is, It is determined based on the degree of consistency between the list-up and the second list-up, and the first list-up is transmitted to the second user device only when the degree of agreement is greater than or equal to a preset value, and the second list-up is transmitted to the first user device. can be transmitted. The degree of consistency may be determined based on the list order of the first list-up and the second list-up. Specifically, the degree of agreement can be determined by Equation 1 described above. Additionally, the first list-up creation information and the second list-up creation information may be divided into a higher-level category and a lower-level category belonging to the higher-level category. At this time, the degree of matching may be determined by applying different weights between the upper category and the lower category.

Figure 3 is a diagram showing a method of obtaining information for creating a list-up according to an embodiment of the present invention.

Referring to FIG. 3, the listup creation server 120 may request information necessary to create a listup from each user in order to create a listup of each user's interests and/or possessions. For example, first, the user can select whether the object (category) for which they want to create a listup is an interest or a possession. Next, the upper category can be selected according to the object (category) selected by the user. For example, when a user selects an interest, the user can select one of travel, music, and food as a top category. When a user selects a possession, the user can select one of books, clothing, and electronic devices as the upper category. Next, the user can select a subcategory that corresponds to the selected supercategory. When the user chooses to travel, the user can select any of the following destinations: the United States, Japan, Australia, France, or the United Kingdom. When the user selects music, the user can select any one of hip-hop, R&B, jazz, and classical music. When the user selects food, the user can select Korean, Chinese, Japanese, or Western food. Likewise, when the user selects a book, the user can select any one of essays, poetry, novels, and self-help books. When the user selects clothing, the user can select any one of tops, bottoms, shoes, and hats. When the user selects an electronic device, he or she can choose any one of a laptop, smartphone, earphone, or tablet PC.

To suggest a method for creating a list of user interests, the following specific methods can be considered.

Survey on interests: Provides users with the ability to identify interests through surveys. This allows users to create or select their own interests.

User behavior analysis: You can estimate the user's interests by analyzing the user's search history, clicks, purchase history, etc.

Social media data analysis: Data collected from users' social media accounts can be analyzed to determine user interests.

Recommendations based on existing interests: Provides items that can be recommended based on the interests the user has previously expressed. This saves users from having to create new interests.

Using these methods, you can develop techniques for cataloging your users' interests. Through this, users can easily write down their interests and receive customized services based on them.

There can be various ways to create a list of user interests, but for example, you can do it in the following way.

Method of allowing users to directly enter their interests: A method of allowing users to directly enter their interests is to provide a form for users to enter their interests by accessing the profile page or settings page on the website or app. There is a way. Users can create a list of their interests by entering their desired interests in the form and clicking the Save button.

Method of automatically creating a list based on the user's behavior history: A method of automatically creating a list of interests by analyzing the user's behavior history includes what content the user clicked or searched for on a website or app, purchase history, etc. There is a way to analyze and automatically create a list of interests. In this case, the user can automatically create a list of interests without any additional input.

How to create an interest list by linking it with an external social media account: There is also a way for users to create a list of interests by linking it with their external social media account (e.g. Facebook, Twitter, etc.). In this case, the user can create a list of interests by automatically importing interests set from an external social media account.

Additionally, an embodiment of the present invention may further include the following features.

The present invention provides a method of creating a list of personal belongings/interests on a platform where a list can be created and shared with each other. This method may consist of the following steps:

Sign up for the platform and create a profile: Sign up for the platform and create your profile. At this time, write detailed information about the items you own or your interests.

Topic selection and list creation: Select a topic of interest and create a list of the topic. At this time, the list must include an appropriate title and description.

Provide a guide for first-time list makers: People who are making lists for the first time may not know much about how to create a list. To this end, we provide a simple guide to help you understand the process of creating a list.

Encourage the participation of people with a history of creating lists: People with a history of creating lists can create more professional and useful lists based on their experience. To this end, we encourage their participation to create a more professional list.

One embodiment of the present invention may further include the following features.

Building a platform and providing services: By building a web or app-based platform, we provide a service that allows users to create a list of personal possessions or interests and share them with each other.

When registering as a member, create a profile and register interests: When registering as a member, you create your profile and register information about your possessions and interests. This information will be used as a reference when creating a list later.

Selecting a topic for list creation: When creating a list, the user selects an appropriate topic based on his or her interests or possessions. For example, there may be topics such as “Introduction to travel bags” or “Recommendations for health-related products.”

List creation guide provided: For users who are creating a list for the first time, a simple list creation guide is provided. Through this, users can create lists more easily.

Implementation of a list sharing and recommendation system: Users can share the lists they have created and check the lists recommended by other users. The recommendation system allows users to recommend lists that match their interests, enabling more efficient list sharing.

Encourage the participation of users with experience in list creation: Encourage users with experience in list creation to create more professional and useful lists. To this end, we encourage their participation and actively promote lists of users who have experience creating lists.

Encourage communication and cooperation between users: Encourage communication and cooperation between users to enable more efficient list sharing. To this end, a chat function between users is provided so that users can complement each other's lists and obtain more useful information.

One embodiment of the present invention may further include the following features.

One embodiment of the present invention provides a list guide (and/or list recommendation for a person creating a list for the first time) through the list-up creation server 120, the first user device 130, and the second user device 140. ) and provide functions to encourage participation from people who have a history of creating lists. For convenience of explanation, the first user and the second user can be defined as the person who creates the list for the first time, and people who have a history of creating the list can be defined as the plurality of third users (or at least one third user). .

When looking at the history of list creation, it is possible to request a (list) guide for first-time list creators from people with a history of creating lists, or to grant permission to create a (list) guide to people with a history of creating lists. This may be desirable. This is because there may be limitations in quantity, number of people, and time for only those who operate the platform of the present invention (or the administrator/user of the list-up creation server 120) to create a guide for those who create a list for the first time.

In addition, rather than providing this guide to all users who create a list for the first time, a list guide created by at least one third user (and /or list recommendations), it is possible to prevent excessive work, work delays, service delays, etc. that would be expected when a list guide (and/or list recommendations) is provided to all users.

If a predetermined first criterion is satisfied for the first user and the second user, the listup creation server 120 sends a message to the first user and the second user (to at least one third user who satisfies the predetermined second criterion). You can provide a guide to creating a list (generated by a user) or create and deliver recommended information (or recommendations) for the list. Meanwhile, the first user and the second user may be excluded from the at least one third user.

The list-up creation server 120 may control to grant authority to at least one third user when a predetermined second criterion is satisfied for the at least one third user.

The list-up creation server 120 records the usage history of people who have a history of creating lists (and at the same time users of the platform for services provided through the list-up creation server 120 of the present invention), that is, at least one third user. , you can check the list previously created by each of at least one third user.

The list-up creation server 120 selects the same interests and/or possessions as the interests and/or possessions set as the first priority (e.g., first priority) in the first list-up and/or the second list-up. It is possible to check whether the number of users set (and/or selected) as first priority accounts for the proportion of all users using the platform of the present invention, that is, whether the first priority ratio is below the threshold ratio (as described above standard').

In other words, the list-up creation server 120 creates the same interests and/or possessions as the first priority set in the first list-up and/or second list-up created by the user. 1 Check whether the number of users set (and/or selected) as priority occupies a proportion of all users, that is, whether the first priority ratio is less than or equal to the threshold ratio. Through this, it can be ensured that the list-ups used on the platform are created fairly and that the interests and priorities of the majority of users are appropriately reflected. Therefore, users can search through various list-ups, filter them according to their interests and priorities, and select an appropriate list-up.

If the first priority ratio is small, that is, if the first priority ratio exceeds the threshold ratio, the interest in the specific interest and/or possession can be considered general, and the specific interest and/or interest in the property can be considered general. Alternatively, even if there is no separate guide or list recommendation for possessions, it is taken into consideration that there are many places where the first user (and/or the second user) can randomly search and obtain information.

On the contrary, if the first priority ratio is large, that is, if the first priority ratio is below the threshold ratio, the interest in specific interests and/or possessions can be considered unusual, so the first user (and /or a second user) may find it difficult to randomly search and obtain information. Through this, it is expected that guide and/or list recommendations are likely to be helpful to the first user (and/or second user).

At this time, the threshold ratio may be arbitrarily set by the operator of the present invention or the user (and/or administrator) of the list-up creation server 120.

On the other hand, the list guide (and/or list recommendations) may indicate that the interests and/or possessions corresponding to the first priority are the same as those of the first user (and/or the second user), but are selected by at least one third user. A second priority, etc. (e.g., second priority or lower) may be created to represent a completed list (or list-up). Through this, the first user (and/or second user) who is not familiar with list creation can write only about the first priority, and the other priorities can be written by others other than the first user (and/or second user). This is so that you can refer to the writing. This is because there are many people who can clearly answer (and/or decide) about the first priority, but cannot clearly answer (and/or decide) about the second (priority) priorities.

In other words, the list guide (and/or list recommendations) may be used to create a first priority list of interests and/or possessions owned by the first user (and/or second user). These lists can be created by the first user (and/or the second user), but there are lists below the second priority that the first user (and/or the second user) has not created (e.g., second, third, 4th priority, etc.) can be created by referring to a list created by another user. Through this, the first user (and/or the second user) can write only about the first priority that the user clearly knows, and can write about other priorities by referring to other users' writing. As a result, it is possible to create a list of information or interests that the first user (and/or the second user) does not know, and a more complete list can be created by referring to the knowledge and experience of other users.

In addition, the list-up creation server 120, when the first priority ratio is less than or equal to the threshold ratio, the list guide (and/or list recommendation) provided to the first user (and/or second user) is predetermined. It may be implemented based on a list guide (and/or list recommendations) created by at least one third user that satisfies the second criterion.

For example, when the first priority ratio is less than or equal to the threshold ratio, the listup creation server 120 may generate and provide a list guide (and/or list recommendation) in the following manner.

- Select a list guide (and/or list recommendation) created by a third user that satisfies a predetermined second criterion.

- When the interests and/or possessions set as first priority included in the list guide (and/or list recommendations) match the items owned or interested in by the first user (and/or the second user). , Create a new list guide (or list recommendation) by referring to the corresponding list guide (or list recommendation).

- Provide the newly created list guide (and/or list recommendations) to the corresponding first user (and/or second user).

As another example, when the first priority ratio is less than or equal to the threshold ratio, the listup creation server 120 may generate and provide a list guide (and/or list recommendation) in the following manner.

- Select a list guide (and/or list recommendation) created by a third user that satisfies a predetermined second criterion.

- When the interests and/or possessions set as first priority included in the list guide (and/or list recommendations) match the items owned or interested in by the first user (and/or the second user). , the list guide (and/or list recommendation) is provided to the first user (and/or second user).

At least one third user that satisfies the second criterion may be determined (and/or selected) based on whether the standard value calculated by Equation 2 below exceeds a preset critical index.

[Equation 2]

At this time, RefVal (Reference Value) refers to the above reference value, NumList (Number of List) represents the number of list guides (and/or list recommendations) created by the third user, and NumSel (Number of Selection) ) may mean the number of times the list guide (and/or list recommendation) created by the third user was selected by the first user (and/or second user).

In other words, NumList (Number of List) refers to the number of list guides (or list recommendations) created by the relevant third user. In other words, the more list guides created by the third user, the larger the NumList value can be. NumSel (Number of Selection) refers to the number of times the list guide (or list recommendation) created by the third user was selected by the first user (or second user). That is, the more list guides created by the third user are selected, the larger the NumSel value may be.

At least one third user can set interests (and/or possessions) corresponding to his/her first priority through the platform of the present invention. At this time, if the third user's first priority interest (and/or possession) is a purchased product or one-time service, a1 is 1 and a2 is 0, and if it is a rental product or subscription service, a1 is 0. , and a2 is 1. Meanwhile, the purchased products, one-time services, rental products, and subscription services may be sold or provided through the platform of the present invention.

price_1 may refer to a price corresponding to purchase or service, and price_2 may refer to a price corresponding to subscription or rental. For example, price_1 refers to the price a user must pay when purchasing a product once or using a one-time service. For example, the price a user must pay when purchasing shoes at an online shopping mall or paying a monthly fee at a mobile carrier. It can be. In addition, price_2 refers to the price of a rental product or service in which a user uses or subscribes to a product or service for a certain period of time, the price a user pays when subscribing to an online video service to watch a movie or drama for a certain period of time, or the price of a car rental or In the case of medical equipment rental, it may refer to a rental fee for use over a certain period of time.

w(weight) may mean weight. As an example, the weight may be arbitrarily set by an operator of the present invention (e.g., an administrator of the list-up creation server 120). As another example, the weight refers to how many types of purchase products (or how many total sales there are) and rental products (how many types or what is the total sales) among the products sold through the platform of the present invention. ) is determined based on the ratio of, or among the products sold through the platform of the present invention, how many types of one-time services (or how many types of sales are there) and how many types of subscription services (or what is the total amount of sales)? It can be determined based on the ratio of what the total is. As another example, the weight is the sum of purchased products (type, total sales) and one-time services (type, total sales), rental products (type, total sales), and subscription among products sold through the platform of the present invention. It may be determined based on the ratio of the agreed upon types of services (type of service, total sales).

As an example, the critical index may be arbitrarily set by an operator of the present invention (eg, an administrator of the list-up creation server 120). As another example, the critical index may be determined based on the ratio of users who create a list for the first time and users who have a history of creating a list among all users of the platform of the present invention.

A purchase item corresponds to a form of purchasing a product by paying a certain price. In other words, it is a product in which a customer purchases and owns the product through a single transaction. For example, clothes, home appliances, household goods, etc. may be included as purchased goods.

A one-time service refers to a service that can no longer be used after using the service once. For example, airline tickets, performance tickets, lectures, etc. may be one-time services.

A rental item corresponds to a form of renting a product for a certain period of time and paying a rental fee. In other words, a rental product is a product in which the customer rents the product for a certain period of time and returns it after using it. For example, cars, furniture, clothing, etc. may be rental items.

A subscription service refers to a transaction in which you can use a service by paying a certain amount on a regular basis. For example, newspapers, TV, internet services, music streaming, etc. may fall under subscription services. A subscription service is a service that provides services on a regular basis for a certain period of time. Customers pay regular fees, and the platform of the present invention provides services at regular intervals. For example, online video streaming services, monthly magazine subscriptions, memberships, etc. are subscription services.

Figure 4 is a flowchart showing a method for creating a list-up according to an embodiment of the present invention.

Let's look again at the method of creating a list-up described in FIGS. 1 to 3 with reference to FIG. 4 .

The first user device 401 and the second user device 403 may transmit first user information and second user information to the listup creation server 402 (S410, S420). At this time, the first user information and the second user information may include the gender, age, hometown, current residential area, occupation, etc. of the first user and the second user.

The first user device 401 may transmit first user list-up information to the list-up creation server 402 (S430), and the second user device 402 may transmit the second user list-up information to the list-up creation server 402. User list-up information can be transmitted (S440). The first user listing information and the second listing information may be information about each user's interests and/or possessions.

The list-up creation server 402 may generate a list-up for each user based on the first user list-up information and the second user list-up information provided in steps S430 and S440 (S450).

The list-up creation server 402 can analyze the list-up for each user (S460). At this time, the list-up analysis for each user may be to calculate the matching score and degree of agreement between each user, as described above.

The list-up creation server 402 may transmit the second user list-up to the first user device 401 (S470) and transmit the first user list-up to the second user device 403 (S480). . At this time, steps S470 and S480 may be performed based on the results analyzed in step S460. Meanwhile, each user (first user, second user) can set it so that they do not want to provide their list-up to other users. In this case, the list-up for each user may not be provided to other users. there is. Additionally, each user can set their list-up to be disclosed or provided only to specific users. In this case, the list-up for each user can be disclosed or provided only to specific users set by each user.

The first user device 401, the listup creation server 402, and the second user device 403 described with reference to FIG. 4 are the first user device 130, the listup creation server 120, and the second user device of FIG. 1. It may be the same as user device 140.

The present invention provides a method of creating a list of interests using an electronic device consisting of a list creation server and a user device. For this purpose, various electronic devices such as smartphones, tablet PCs, mobile phones, video phones, and e-book readers can be used. Wearable devices are also available, as are home appliances such as TVs, DVD players, air conditioners, refrigerators, and game consoles.

In another embodiment, the electronic device (i.e., listup creation server 120, first user device 130, and/or second user device 140, etc.) may be configured to use various medical devices (e.g., various portable medical measurement devices). (such as a blood sugar monitor, heart rate monitor, blood pressure monitor, or body temperature monitor), magnetic resonance angiography (MRA), magnetic resonance imaging (MRI), computed tomography (CT), imaging device, or ultrasound device, etc.), navigation device, satellite navigation system (such as GNSS (global navigation satellite system), EDR (event data recorder), FDR (flight data recorder), automotive infotainment devices, marine electronic equipment (e.g. marine navigation system, gyro compass, etc.), avionics, security Appliances, vehicle head units, industrial or domestic robots, drones, ATMs at financial institutions, point of sales (POS) at stores, or Internet of Things devices (e.g. light bulbs, various sensors, sprinkler devices, fire It may include at least one of alarms, thermostats, street lights, toasters, exercise equipment, hot water tanks, heaters, boilers, etc.). According to some embodiments, the electronic device may be a piece of furniture, a building/structure or a vehicle, an electronic board, an electronic signature receiving device, a projector, or various measuring devices (e.g. water, electrical, It may include at least one of gas, radio wave measuring equipment, etc.). In various embodiments, the electronic device may be flexible, or may be a combination of two or more of the various devices described above. Electronic devices according to embodiments of this document are not limited to the above-described devices. In this document, the term user may refer to a person using an electronic device or a device (e.g., an artificial intelligence electronic device) using an electronic device.

Additionally, the electronic device (i.e., listup creation server 120, first user device 130, and/or second user device 140, etc.) includes a bus, processor, memory, input/output interface, display, and communication interface. can do. In some embodiments, the electronic device may omit at least one of the components or may additionally include another component. A bus connects components to each other and may include circuitry that carries communications (e.g., control messages or data) between the components. The processor may include one or more of a central processing unit, an application processor, or a communication processor (CP). The processor may, for example, perform operations or data processing related to control and/or communication of at least one other component of the electronic device.

Memory may include volatile and/or non-volatile memory. Memory may, for example, store instructions or data related to at least one other component of the electronic device. According to one embodiment, the memory may store software and/or programs. A program may include, for example, a kernel, middleware, an application programming interface (API), and/or an application program (or “application”). At least part of the kernel, middleware, or API may be referred to as the operating system. The kernel, for example, controls or controls system resources (such as buses, processors, or memory, etc.) used to execute operations or functions implemented in other programs (such as middleware, APIs, or application programs). It can be managed. Additionally, the kernel may provide an interface to control or manage system resources by accessing individual components of the electronic device in middleware, API, or application programs.

Middleware acts as an intermediary so that an API or application program can exchange data with the kernel, and can process work requests according to priority. API is an interface for file control, window control, image processing, character control, etc., and the input/output interface can transmit input commands or data to components of an electronic device or output data from the electronic device.

The display may include, for example, a liquid crystal display (LCD), a light-emitting diode (LED) display, an organic light-emitting diode (OLED) display, or a microelectromechanical system (MEMS) display, or an electronic paper display. there is. For example, the display may display various contents (e.g., text, images, videos, icons, and/or symbols, etc.) to the user. The display may include a touch screen and may receive, for example, a touch, gesture, proximity, or hovering input using an electronic pen or a part of the user's body. For example, the communication interface may establish communication between an electronic device and an external device (eg, a first external electronic device, a second external electronic device, or a server). For example, the communication interface may be connected to a network through wireless or wired communication to communicate with an external device (eg, a second external electronic device or server).

The present invention relates to networks including wireless or wired communications. Wireless communications may include LTE, WiFi, Bluetooth, etc., and GNSS is also possible. Wired communications may include USB, HDMI, powerline communications, etc. The network may include a telecommunication network, the Internet, etc.

Each of the first and second external electronic devices may be of the same or different type as the electronic device. It is a method in which multiple electronic devices interoperate with each other to execute functions, and for this purpose, cloud computing, distributed computing, and client-server computing technologies can be used.

The electronics include one or more processors (e.g., APs), communication modules, subscriber identity modules, memory, sensor modules, input devices, displays, interfaces, audio modules, camera modules, power management modules, batteries, indicators, and motors. The processor can, for example, control a number of hardware or software components connected to the processor by running an operating system or application program, and can perform various data processing and calculations. The processor, for example, For example, it may be implemented as a system on chip (SoC). According to one embodiment, the processor may further include a graphic processing unit (GPU) and/or an image signal processor. The processor may include other components (e.g. : Commands or data received from at least one of the non-volatile memories can be loaded and processed into the volatile memory, and the resulting data can be stored in the non-volatile memory.

This device may have various communication modules (e.g. cellular, WiFi, Bluetooth, GNSS, NFC, RF, etc.), each module performing a corresponding function or may be included within an integrated chip (IC) package. Subscriber identity modules (such as SIM cards) can be used to authenticate electronic devices and provide services in telecommunication networks. The RF module can transmit and receive communication signals, including frequency filters, antennas, PAM, etc.

Memory (eg, memory) may include, for example, internal memory or external memory. Built-in memory includes, for example, volatile memory (such as DRAM, SRAM, or SDRAM), non-volatile memory (such as one time programmable ROM (OTPROM), PROM, EPROM, EEPROM, mask ROM, flash ROM, flash memory, etc. , a hard drive, or a solid state drive (SSD). The external memory may include a flash drive, for example, compact flash (CF), secure digital (SD), Micro-SD, It may include Mini-SD, xD (extreme digital), MMC (multi-media card), memory stick, etc. External memory may be functionally or physically connected to electronic devices through various interfaces.

Sensor modules can measure physical quantities or detect the operating status of electronic devices and convert information into electrical signals. This module may include gesture, gyro, barometric, magnetic, acceleration, grip, proximity, color, biometric, temperature/humidity, light, or ultraviolet sensors. Additionally, olfaction, electromyography, electroencephalography, electrocardiogram, infrared, iris, and fingerprint sensors can be added or replaced. The module may include control circuitry for controlling the sensor, and the electronic device may include a processor for controlling the sensor module. This processor can control the sensor module even in sleep state.

The input device may include, for example, a touch panel, a (digital) pen sensor, a key, or an ultrasonic input device. The touch panel may use at least one of, for example, a capacitive type, a resistive type, an infrared type, or an ultrasonic type. Additionally, the touch panel may further include a control circuit. The touch panel may further include a tactile layer to provide a tactile response to the user. The (digital) pen sensor may be, for example, part of a touch panel or may include a separate recognition sheet. Keys may include, for example, hardware buttons, optical keys, or keypads. The ultrasonic input device can detect ultrasonic waves generated from an input tool through a microphone and check data corresponding to the detected ultrasonic waves.

The display may include a panel, a holographic device, a projector, or control circuitry to control them. The panel can be implemented flexible or transparent, and can be configured together with a touch panel. The pressure of the user's touch can also be measured through a pressure sensor. Holographic devices can display three-dimensional images in the air, and projectors project images on a screen. Interfaces can include specifications such as HDMI, USB, optical interface, or D-sub, and other specifications such as MHL, SD card/MMC, and IrDA are also possible.

The audio module converts sound and electrical signals in both directions and can process sound information input or output through speakers, receivers, earphones, or microphones. A camera module is a device that captures still and moving images and may include an image sensor, lens, image signal processor (ISP), flash, etc. The power management module manages the power of the electronic device and may include a PMIC, charger IC, or battery gauge. Wireless charging methods include magnetic resonance, magnetic induction, or electromagnetic wave methods, and may include additional circuits such as coil loops, resonance circuits, or rectifiers. The battery may use rechargeable cells and/or solar cells.

The embodiments of the present invention disclosed in the specification and drawings are merely provided as specific examples to easily explain the technical content of the present invention and to facilitate understanding of the present invention, and are not intended to limit the scope of the present invention. In other words, it is obvious to those skilled in the art that other modifications based on the technical idea of the present invention can be implemented. Additionally, each of the above embodiments can be operated in combination with each other as needed. For example, all embodiments of the present invention may be implemented by the first user device 130, the listup creation server 120, and/or the second user device 140 of the present invention by combining portions thereof.

In addition, the method of controlling the first user device 130, the list-up creation server 120, and/or the second user device 140 of the present invention is implemented in the form of program instructions that can be executed through various computer means. It may be recorded on a computer-readable medium.

As such, various embodiments of the present invention can be implemented in any recording medium capable of storing data that can be read by a computer system. Examples include read-only memory, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage devices, or data transmission via the Internet. Additionally, code and programs can be stored and executed in a distributed manner. Programmers can easily interpret this.

Additionally, the present invention can be implemented in the form of hardware, software, or a combination thereof, and ROM, RAM, CD, DVD, magnetic disk, or magnetic tape can be used as a storage medium. This method can be implemented by a computer or a portable terminal, and programs are stored in the storage medium.

Accordingly, the present invention includes a program including code and a machine-readable storage medium storing the same. Additionally, programs may be transmitted electronically via any medium, such as a communication signal. This specification and drawings are merely examples provided to aid understanding of the present invention, and various modifications are possible therefrom. Therefore, the scope of technical protection of the present invention is determined by the claims.

Claims (2)

Ministry of Communications; and a processor functionally connected to the communication unit; Including,
The processor:
Operates a web and/or app for a platform that provides listing information;
Receiving the first user's personal information, the first user's interest information, and the first user's possession information from the first user device,
Receiving the second user's personal information, the second user's interest information, and the second user's possession information from the second user device,
The first user and the second user represent people who have no history of creating list-up information, and those who have a history of creating list-up information are defined as a plurality of third users,
The processor:
Among the plurality of third users, at least one third user that satisfies a predetermined second standard is given authority to create guide information for creating list-up information, and the guide information is provided to the at least one third user. Contains at least one of a list guide or a list recommendation created by or includes list-up information created by the at least one third user,
The guide information is delivered only to those who satisfy a predetermined first standard among the first user and/or the second user,
The first criterion is the number of users who select the same item as the first priority as the item designated as the first priority in the interest information and possession information of the first user and/or the second user, which accounts for the number of users among all users of the platform. Satisfied when the ratio is below the preset critical ratio,
The second standard is determined based on whether the reference value (RefVal, Reference Value) calculated by the equation below exceeds a preset critical index,
[Equation]

NumList (Number of List) indicates the number of guide information created by the corresponding third user,
NumSel (Number of Selection) indicates the number of times guide information created by the third user was selected by at least one of the first user or the second user,
If the item corresponding to the third user's first priority is a purchased product or a one-time service, a1 is 1, a2 is 0,
If the item corresponding to the third user's first priority is a rental product or subscription service, a1 is 0, a2 is 1,
price_1 represents the price corresponding to the purchase product or the one-time service, price_2 represents the price corresponding to the rental product or the subscription service,
w(weight) represents a weight, and the weight is the sum of the sales of the purchased product and the sum of the sales of the one-time service, the sum of the sales of the rental product, and the sum of the sales of the subscription service among the products or services sold through the platform. It is decided based on the agreed ratio of
The critical index is determined based on the ratio of the plurality of third users to those who have no history of creating list-up information among all users,
The processor:
A first value is obtained by multiplying the match rate between the personal information of the first user and the personal information of the second user by a preset first maximum value, wherein the personal information includes at least one of gender, age, residence, and occupation. Contains,
The match ratio between the first user's interest information and the upper category of the first user's possession information and the second user's interest information and the upper category of the second user's possession information is multiplied by a preset second maximum value. obtain a second value,
The match ratio between the interest information of the first user and the subcategories of the first user's possessions information and the interest information of the second user and the subcategories of the second user's possessions information is multiplied by a preset third maximum value. obtain the third value,
A first matching score is obtained through the process of adding up the first value multiplied by the first weight, the second value multiplied by the second weight, and the third value multiplied by the third weight, , the third weight is set differently from the second weight,
A listing order of each item in the list corresponding to the interest information of the first user and the possession information of the first user, and a listing of each item of the list corresponding to the interest information of the second user and the possession information of the second user. Obtaining a second matching score by considering whether there is a match between the sequences and the weights set differently for each of the items,
The number of matches between the listing order of each item in the list corresponding to the possession information of the first user and the listing order of each item in the list corresponding to the possession information of the second user is calculated as the number of matches corresponding to the possession information of the first user. A degree of agreement is obtained divided by the number of items in the list, where the number of items in the list corresponding to the possession information of the first user matches the number of items in the list corresponding to the possession information of the second user. ,
㉮ If the first matching score exceeds a preset first standard value, ㉯ If the second matching score exceeds a preset second standard value, or ㉰ If the degree of match exceeds a preset third standard value: The first user Characterized in that transmitting information recommending to the second user device, and transmitting information recommending the second user to the first user device,
Electronic device for generating listing information.
According to claim 1,
The processor:
Generate first listing information and first advertisement information based on the personal information of the first user, the interest information of the first user, and the possession information of the first user,
Generate second listing information and second advertisement information based on the personal information of the second user, the interest information of the second user, and the possession information of the second user,
Characterized in that delivering the first advertising information to the first user device and delivering the second advertising information to the second user device,
Electronic device for generating listing information.