KR20240084935A - Device and method providing advertisement based on user location - Google Patents

Abstract

According to an embodiment of the present invention, disclosed are a method and a device for providing advertisement information. The method for providing advertisement information comprises the steps of: obtaining target user characteristic information from an advertiser account; obtaining user location information for a plurality of users from a plurality of user accounts; determining a user score for the plurality of user accounts by using the target user characteristic information; determining a location score for the plurality of user accounts by using the user location information; and providing advertisement information for the advertiser account for some or all of the plurality of user accounts based on a priority determined based on the user score and the location score.

Description

{Device and method providing advertisement based on user location}

The technical field of the present disclosure is related to the technical field of easily providing advertisements to corresponding consumers based on general information about the consumer and information about the means of transportation from the consumer's location preferred by the business operator and the corresponding time required. .

Previously, for small business owners, it was efficient to provide advertisements to consumers close to the business location or to consumers with a short travel time, but most advertising methods only considered the interests of consumers, so the effectiveness of advertising was difficult to compare to the cost spent. There were difficulties.

Therefore, there is a need for technology that can maximize advertising effectiveness by advertising to consumers based on information about the means of transportation at the consumer's location and the corresponding time required by the advertiser.

Korean registered patent 10-1961504 B1 (2019.03.18) Consumer-driven advertising system

This disclosure relates to a method of providing advertisement information, and discloses a device and method that can provide advertisements to suitable consumers based on the location information of consumers preferred by advertisers and the time required according to the means of transportation.

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

As a technical means for achieving the above-mentioned technical problem, the method of providing advertising information according to the first aspect of the present disclosure includes the steps of obtaining target user characteristic information from an advertiser account; Obtaining user location information for a plurality of users from a plurality of user accounts; determining user scores for the plurality of user accounts using the target user characteristic information; determining location scores for the plurality of user accounts using the user location information; And advertising information for the advertiser account may be provided to some or all of the plurality of user accounts based on the priority determined based on the user score and the location score.

In addition, the target user characteristic information includes behavior pattern information, organizational affiliation information, residence information, age group information, and gender information for the plurality of user accounts, and the step of determining the user score is based on the target user characteristic information. The user score may be determined for each of the plurality of user accounts based on the user characteristic similarity, which indicates the degree to which the target user characteristics determined are similar to the plurality of user characteristics for the plurality of users.

In addition, determining the location score may include determining a travel distance and a travel route between a business location corresponding to the advertiser account and a user location corresponding to the plurality of user accounts; determining a travel time according to a plurality of transportation means based on the travel distance and the travel route; And the location score may be determined based on a comparison result between the travel time and a limit time representing the maximum travel time the user is expected to take.

Additionally, the limit time is determined differently depending on the plurality of means of transportation, and the means of transportation may include at least one of walking, bicycle, bus, subway, and vehicle.

Additionally, the limit time may be determined to be lowered in the following order: walking, subway, bicycle, vehicle, and bus.

Additionally, the location score may be inversely proportional to the travel time and may be proportional to preferences corresponding to each of the plurality of means of transportation.

An advertising information providing device according to a second aspect of the present disclosure includes a receiving unit that acquires target user characteristic information from an advertiser account and acquires user location information for a plurality of users from a number of user accounts; and determining a user score for the plurality of user accounts using the target user characteristic information, determining a location score for the plurality of user accounts using the user location information, and adding the user score and the location score to the user score and the location score. Based on this, advertising information for the advertiser account may be provided to some or all of the plurality of user accounts.

Additionally, the third aspect of the present disclosure can provide a computer-readable recording medium recording a program for executing the method of the first aspect on a computer.

According to an embodiment of the present disclosure, by obtaining the preferred means of transportation and the corresponding limit time from a nearby advertiser account, advertisements according to the consumer's location can be provided, thereby resolving inconvenience caused by inefficient advertisements.

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

Figure 1 is a block diagram schematically showing the configuration of an advertisement providing device according to an embodiment.
Figure 2 is a flowchart illustrating a method of providing advertisements according to an embodiment.
FIG. 3 is a diagram illustrating an example of preference according to a transportation method obtained from an advertiser account and a corresponding time limit according to an embodiment.
Figure 4 is a diagram schematically showing an example providing a process for authenticating a user account and an advertiser account according to an embodiment.

Advantages and features in the present disclosure, and methods for achieving them, will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below and may be implemented in various different forms. The present embodiments are merely provided to ensure that the disclosure is complete and to those skilled in the art. It is provided to provide complete information.

The terms used herein are for describing embodiments and are not intended to limit the disclosure. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprises” and/or “comprising” does not exclude the presence or addition of one or more other elements in addition to the mentioned elements. Like reference numerals refer to like elements throughout the specification, and “and/or” includes each and every combination of one or more of the referenced elements. Although “first”, “second”, etc. are used to describe various components, these components are of course not limited by these terms. These terms are merely used to distinguish one component from another. Therefore, of course, the first component mentioned below may also be the second component within the technical spirit of the present disclosure.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art. Additionally, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless clearly specifically defined. Spatially relative terms such as “below”, “beneath”, “lower”, “above”, “upper”, etc. are used as a single term as shown in the drawing. It can be used to easily describe the correlation between a component and other components.

Spatially relative terms should be understood as terms that include different directions of components during use or operation in addition to the directions shown in the drawings. For example, if a component shown in a drawing is flipped over, a component described as "below" or "beneath" another component will be placed "above" the other component. You can. Accordingly, the illustrative term “down” may include both downward and upward directions. Components can also be oriented in other directions, so spatially relative terms can be interpreted according to orientation.

Hereinafter, various embodiments will be described in detail with reference to the drawings.

Figure 1 is a block diagram schematically showing the configuration of an advertisement providing device according to an embodiment.

Referring to the drawings, device 100 may include a receiving unit 110, a processor 120, and a transmitting unit 130.

Those skilled in the art can understand that other general-purpose components in addition to the components shown in FIG. 1 may be further included in the device 100. For example, device 100 may further include memory (not shown). Alternatively, according to another embodiment, those skilled in the art may understand that some of the components shown in FIG. 1 may be omitted.

The receiving unit 110 according to one embodiment may obtain previously stored general user information from a database. Pre-stored general user information entered from each user account may include information such as name, age, gender, residence, occupation, company, and transportation history. Additionally, the receiving unit 110 may obtain and update user location information corresponding to each user account. User information necessary for determining target user characteristic information may be obtained and updated from additional input of the user account. The acquired previously stored user general information can be used by the processor 120 to determine the user score and location score, which will be described later in FIG. 2.

The receiving unit 110 according to one embodiment may obtain pre-stored company information from a database. Pre-stored general company information entered from each advertiser's account may include information such as company name, business field, number of employees, company location, operating hours, and product type. When requested from an advertiser account, the receiving unit 110 can obtain general information about a previously stored company from the database, and when information about the company changes, it can be accumulated and updated through input corresponding to an additional advertiser account.

The processor 120 according to an embodiment may provide advertising information for an advertiser account to some or all of a plurality of user accounts. The receiving unit 110 obtains target user characteristic information from the advertiser account and user location information from the user account, so that the processor 120 can determine the corresponding user score and location score, and advertiser according to the priority determined based on this. Advertising information about the account may be provided to the user account. The priorities determined based on the user score and location score will be described later in step S250.

Figure 2 is a flowchart illustrating a method of providing advertisements according to an embodiment.

Referring to step S210, the device 100 obtains target user characteristic information from the advertiser account.

The device 100 according to an embodiment may include behavioral pattern information for a plurality of user accounts, organizational affiliation information, residence information, age group information, and gender information as target user characteristic information.

For example, there may be consumers who have preferences when a business or advertiser advertises products and services. In other words, by targeting consumers, advertising efficiency can be maximized and customized settings can be made from each advertiser's account. The device 100 can be set within a preset distance of 100m with residential information about the preferred consumer obtained from the advertiser account, and includes information such as age in the 30s, gender as male, and organizational affiliation information such as A shopping mall. It can be obtained. In addition, among the target user characteristic information obtained from the advertiser account, behavior pattern information may be related to the user's means of movement, so the device 100 provides corresponding behavior pattern information based on the means of movement and movement location for the user account. It can be provided to the advertiser's account.

Referring to step S220, the device 100 obtains user location information for a plurality of users from a plurality of user accounts.

The device 100 according to one embodiment may obtain user location information corresponding to each user account based on the transportation history of previously stored user information received from the database. The device 100 can use user location information to determine location scores for multiple user accounts.

Referring to step S230, the device 100 determines user scores for a plurality of user accounts using target user characteristic information.

The device 100 according to an embodiment may provide information on each of a plurality of user accounts based on a target user characteristic determined based on target user characteristic information and a user characteristic similarity indicating the degree to which the plurality of user characteristics for a plurality of users are similar. The user score can be determined.

For example, the user score can be interpreted as a score indicating the degree to which the target user characteristic information obtained from the advertiser account is similar to the user information. Accordingly, the device 100 can determine the user score corresponding to each user account from 1 (unsuitable) to 100 (suitable), and this can be updated according to target user characteristics obtained from the advertiser account.

If information about (male, 20s, Seoul, writer, 100m, walk) is obtained from user account 'A', this will be converted into data (gender, age, residence, occupation, average distance traveled, average means of transportation), etc. It can be interpreted to mean: In addition, when the information of (male, 30s, Seoul, athlete, 200m) is obtained from advertiser account 'B', this is in the form of data, which is target user characteristic information (gender information, age information, residence information, affiliation information, behavior) It can be interpreted as meaning (pattern information), etc. Therefore, in this case, 20 points are assigned to each of the five pieces of information included in the target user characteristic information, and a user score indicating the degree of similarity between them can be determined. The user score is determined by giving 20 points each because the gender and residence are the same, 15 points because the ages are similar, 1 point because the occupation and organizational information are completely different, and 10 points because the behavioral pattern information and average travel distance are also different. You can. As a result, a user score of 66 points is assigned in total, and the user score can be used to provide advertising information according to the determined priority, which will be described in detail in step S250.

Referring to step S240, the device 100 determines location scores for a plurality of user accounts using user location information.

The device 100 according to an embodiment may determine the movement distance and movement route between the business location corresponding to the advertiser account and the user location corresponding to the plurality of user accounts, and may also determine the movement distance and movement route based on the movement distance and movement route. The travel time can be determined according to .

Since the efficiency of advertising may vary depending on the proximity between the user's location and the location of the business, the location score can be interpreted as a score of whether advertisements can be provided preferentially to users who are close to the business.

For example, the device 100 may obtain a business location corresponding to an advertiser account based on pre-stored business general information received from the database and determine the user location corresponding to each user account based on pre-stored user general information. It can be obtained. Based on the determined business location and user location, the devices 100 can determine mutual movement distance and movement route. Subsequently, based on the determined movement distance and movement route, the movement time according to a plurality of movement means can be determined. If the movement distance is 50 m and the movement route is determined to be in the form of a straight line, the device 100 determines that the movement time according to the movement means is ( It can be determined in the form of data (walk, 5 minutes). However, if the travel distance is 800m and the travel route is not a straight line but a complex form of data with straight lines and curves, the means of transportation may include multiple means such as (bus, subway), and the travel time can be determined as a correspondingly large value.

The device 100 according to one embodiment may determine a location score based on a comparison result between the travel time and a limit time representing the maximum travel time the user is expected to take. Additionally, the means of transportation may include at least one of walking, bicycle, bus, subway, and car.

The limit time is a value obtained from the advertiser's account and can be interpreted as the maximum time the user can endure depending on the means of transportation. For example, if the business location is located on an uphill road, it is highly likely that it will be difficult for users to visit by walking for a long time, so the limit time for walking may be determined to be 10 minutes. In other words, if it takes more than 10 minutes for a user to visit a business location, this can be interpreted to mean that the effect of providing advertising is reduced accordingly.

As a result, the device 100 can determine data from 1 (unsuitable) to 100 (suitable), the same as the user score. The location score is determined based on a comparison between the limit time according to the expected means of transportation obtained from the advertiser's account and the travel time determined based on the travel distance and travel route. The closer the score is to 100, the smaller the difference between the times can be interpreted. You can. Accordingly, the location score determined by the device 100 may be inversely proportional to the travel time and may be proportional to the preferences corresponding to each of the plurality of transportation means.

The limit time determined by the device 100 according to an embodiment may be determined differently depending on a plurality of means of transportation and may be determined to be lower in the order of walking, subway, bicycle, car, and bus.

For example, if the method of transportation from the user's location to the business location is walking, it may take the least amount of travel time, so it may be determined in the highest order among the transportation methods. Next, the subway may be chosen because the waiting time is short and the timing is consistent, so it is easy to predict. In addition, since the probability of users owning a bicycle, which is inexpensive for each household, is higher than that of a car, the limit time can be determined to be lowered in the order of walking, subway, bicycle, car, and bus.

Referring to step S250, the device 100 provides advertising information for the advertiser account to some or all of the plurality of user accounts based on the priority determined based on the user score and the location score. Priority can be determined according to the weight given to various factors, and examples include walking, subway, bicycle, car, and bus, where one of the factors is the time limit.

According to one embodiment regarding priority, priority may be determined based on a weight given to an element according to preset weather. For example, if the preset weather is obtained as sunny data, there is a high probability that the user will choose walking as a means of transportation rather than bus or subway. Accordingly, by assigning a high weight to walking, the device 100 can first provide advertising information to user accounts with a long history of walking, based on the transportation history of pre-stored user information received from the database. Next, a high weight may be given to bicycles, so although the travel time is longer than walking, they are more likely to be selected than buses or subways, which require waiting time. In other words, in clear weather, users are more likely to use bicycles to travel to the business location, so it can be efficient in providing advertising information. Accordingly, priority may be determined based on weights that are gradually lowered in the order of walking, bicycle, vehicle, bus, and subway, which is the limit time for determining the location score.

As another example, if the preset weather is set to heavy rain, the user is unlikely to choose walking or bicycle as a means of transportation, and due to the inconvenience of having to bring an umbrella, in this case, the highest weight may be assigned to the vehicle. Next, buses may also be given the second highest weightage as subways, which can be conveniently reached underground, may not prefer to spend time waiting at stops in heavy rain. In addition, even in heavy rain, walking may be given a higher weight than cycling, and because walking has a shorter travel route, the probability of visiting the business location may be relatively higher than that of cycling. Accordingly, priority may be determined based on weights that are gradually lowered in the order of vehicle, subway, bus, walking, and bicycle, which is the limit time for determining the location score.

Without being limited thereto, the device 100 may assign higher weight to the user score. For example, if the user location corresponding to the user account is within a preset distance of 5m from the business location information corresponding to the advertiser account, the user score is likely to be significantly high. Therefore, at this time, a higher weight is given to the user score than the location score according to the time limit, so that the device 100 can provide advertising information obtained from the advertiser account to the user account.

FIG. 3 is a diagram illustrating an example of preference according to a transportation method obtained from an advertiser account and a corresponding time limit according to an embodiment.

Referring to Figure 3, the device 100 can obtain preferences according to a plurality of means of transportation and the corresponding time limit by receiving input from an advertiser account. In other words, if the advertiser determines that there is a high probability that the consumer will use walking when providing an advertisement, the preference can be entered as a number close to 100 (suitable) and the limit time can be entered as 20. In other words, if the user's travel time to the business location by foot is more than 20 minutes, the probability of visiting the business location is very low, so it is judged that there is no point in providing advertising, so it may be determined as the lowest priority when determining priority. .

Figure 4 is a diagram schematically showing an example providing a process for authenticating a user account and an advertiser account according to an embodiment.

Referring to Figure 4, an advertiser with the purpose of providing indiscriminate advertisements and a user with malicious intent may request the creation of an account corresponding to each user from the device 100. In order to provide high-quality advertising information, the device 100 may provide a process for authenticating user accounts and advertiser accounts in the process of requesting account creation. Through this, the device 100 can quickly provide reliable advertising information obtained from the advertiser account to each user account.

Various embodiments of the present disclosure are implemented as software including one or more instructions stored in a storage medium (e.g., memory) that can be read by a machine (e.g., a display device or computer). It can be. For example, the device's processor (eg, processor 120) may call at least one instruction among one or more instructions stored from a storage medium and execute it. This allows the device to be operated to perform at least one function according to the at least one instruction called. The one or more instructions may include code generated by a compiler or code that can be executed by an interpreter. A storage medium that can be read by a device may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' only means that the storage medium is a tangible device and does not contain signals (e.g. electromagnetic waves). This term refers to cases where data is stored semi-permanently in the storage medium. There is no distinction between temporary storage cases.

According to one embodiment, methods according to various embodiments disclosed in the present disclosure may be included and provided in a computer program product. Computer program products are commodities and can be traded between sellers and buyers. The computer program product may be distributed in the form of a machine-readable storage medium (e.g. compact disc read only memory (CD-ROM)) or via an application store (e.g. Play StoreTM) or on two user devices (e.g. It can be distributed (e.g. downloaded or uploaded) directly between smartphones) or online. In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily created in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or a relay server.

Those skilled in the art related to this embodiment will understand that the above-described substrate can be implemented in a modified form without departing from its essential characteristics. Therefore, the disclosed methods should be considered from an explanatory rather than a restrictive perspective. The scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within the equivalent scope should be construed as being included in the present invention.

100: device
110: receiving unit 120: processor
130: Transmitting unit

Claims (7)

In the method of providing advertising information,
Obtaining target user characteristic information from an advertiser account;
Obtaining user location information for a plurality of users from a plurality of user accounts;
determining user scores for the plurality of user accounts using the target user characteristic information;
determining location scores for the plurality of user accounts using the user location information; and
A method including; providing advertisement information for the advertiser account to some or all of the plurality of user accounts based on a priority determined based on the user score and the location score.
According to claim 1,
The target user characteristic information includes behavior pattern information, organizational affiliation information, residence information, age group information, and gender information for the plurality of user accounts,
The step of determining the user score is
Determining the user score for each of the plurality of user accounts based on target user characteristics determined based on the target user characteristic information and user characteristic similarity indicating the degree to which the plurality of user characteristics for the plurality of users are similar, method.
According to claim 1,
The step of determining the location score is
determining a travel distance and a travel route between a business location corresponding to the advertiser account and a user location corresponding to the plurality of user accounts;
determining a travel time according to a plurality of transportation means based on the travel distance and the travel route; and
Determining the location score based on a comparison result between the travel time and a limit time representing the maximum travel time the user is expected to take.
According to claim 3,
The limit time is determined differently depending on the plurality of transportation means,
The method, wherein the means of transportation includes at least one of walking, bicycle, bus, subway, and vehicle.
According to claim 4,
The limit time is
Wherein the method is determined to be lowered in that order: the walk, the subway, the bicycle, the car and the bus.
According to claim 5,
The location score is
A method that is inversely proportional to the travel time and proportional to a corresponding preference for each of the plurality of means of transportation.
In the advertising information provision device,
Obtain target user characteristic information from the advertiser account,
A receiving unit that obtains user location information for a plurality of users from a plurality of user accounts; and
Determine user scores for the plurality of user accounts using the target user characteristic information,
Determine location scores for the plurality of user accounts using the user location information,
A device comprising; a processor providing advertisement information for the advertiser account to some or all of the plurality of user accounts based on the user score and the location score.