KR101902098B1 - Contents offering method and system for target - Google Patents

Abstract

The present invention relates to a method and system for providing contents to a target, and more particularly, to a method and system for providing contents to a target by receiving first data ; Confirming an application installed in the user terminal from the unique data by the first server; The first server applying an application weight assigned to an installed application in the user terminal; Summing the application weights applied to an application installed in the user terminal and calculating a sum with respect to each user terminal; The first server sending at least one unique data for a target candidate of a marketing activity based on the score to a second server connected through a network; And a step of providing a content after confirming a target candidate from at least one unique data received by the second server.
As described above, the method and system for providing contents to a target according to the present invention can select a user terminal that is predicted to be highly likely to perform a predetermined action as a target candidate, It is possible to easily provide the target candidate with contents to be promoted or advertised.

Description

TECHNICAL FIELD The present invention relates to a content providing method and system for a target,

The present invention relates to a method and system for providing content to a target, and more particularly, to a method and system for providing content to a target by predicting the possibility that each user terminal performs a predetermined action through a plurality of applications installed in a plurality of user terminals, And a content providing method and system for a target for providing content with a selected target candidate.

As IT technology developed rapidly, the development direction of the industry gradually shifted from the hardware center to the software center. Therefore, in the industry centered on software, many people are attracting attention in the field of contents production such as UCC (User Created Contents) in which various people directly produce contents.

In particular, when a content developer develops a source source, a one-source multi-use method that processes the source source into a variety of content types and provides it to consumers, / RTI >

For example, when a book is published, it can be converted into a drama, a movie, or a musical form, and various emoticons and character goods can be released from characters appearing in the book.

However, over time, the amount of content explosively increases, while too much content is indiscriminately offered to consumers, making it difficult for consumers to quickly find desired content in a large amount of content, Which causes exposure to information pollution.

Korean Registered Patent No. 10-1418821 (Jul. Korean Patent Registration No. 10-1345239 (Dec. 19, 2013)

SUMMARY OF THE INVENTION Accordingly, the present invention has been made to solve the above problems, and it is an object of the present invention to provide a method and apparatus for selecting a target candidate by predicting the possibility that each user terminal performs a predetermined action through an application installed in a plurality of user terminals, And to provide a content providing method and system for a target that easily provides suitable content as a selected target candidate.

A method for providing a content to a target according to an embodiment of the present invention includes the steps of: a first server receiving unique data including identification information of the user terminal and application information installed in the user terminal from at least one user terminal; Confirming an application installed in the user terminal from the unique data by the first server; The first server applying an application weight assigned to an installed application in the user terminal; Summing the application weights applied to an application installed in the user terminal and calculating a sum with respect to each user terminal; The first server sending at least one unique data for a target candidate of a marketing activity based on the score to a second server connected through a network; And providing the content after checking the target candidate from at least one unique data received by the second server; .

Wherein the unique data further includes user specific information including at least one of sex, age, marital status, location, and income quadrant for each user using the user terminal, A unique information weight can be assigned.

The score is calculated by a logistic regression method using the application weights and the user-specific information weights. The application weights and the user-specific information weights allocated to the applications installed for each user terminal are summed with probability have.

The step of the first server verifying the application installed in the user terminal from the unique data may further include generating an application installation list for each of the user terminals after confirming the installed application in the user terminal.

Wherein the applying of the application weights assigned to the applications installed in the user terminal by the first server comprises reading pre-set and previously stored application weights for each of the plurality of applications, reading the application weights allocated to the installed applications in the user terminal Can be applied.

The step of the first server summing up the application weights applied to the application installed in the user terminal and calculating the sum of the application weights applied to the user terminal as a score for each user terminal includes the steps of reproducing the content, installing and running the application, purchasing settlement, And a questionnaire response, and a questionnaire response.

After performing the step of calculating the score for each user terminal by the first server and then transmitting the at least one unique data for the target candidate of the marketing activity to the second server, Selecting a user terminal included in a preset higher rank or a user terminal whose calculated score exceeds a preset reference score as a target candidate for marketing activity after sorting.

The step of providing the content after confirming the target candidate from the at least one unique data received by the second server may provide the content including at least one of the cultural contents, the advertisement contents and the payment related contents as target candidates.

The cultural contents may include at least one of a novel, a cartoon, a webtoon, a game, a movie, a drama, and a musical.

The advertisement content may include advertisement or application-related information that induces the target candidate to install or run internally, or to perform at least one of a purchase settlement, a periodic subscription application, and a survey response.

The settlement related content may include a discount coupon or a credit accumulation point used by the target candidate in the purchase settlement.

The step of providing the content after confirming the target candidate from the at least one unique data received by the second server may provide a discount coupon having a different discount rate according to the time of confirming the target candidate to provide the target candidate as the target candidate .

The step of providing the content after confirming the target candidate from the at least one unique data received by the second server may provide different target points as target candidates by issuing different earning points according to the time of confirming the target candidates.

A system for providing contents to a target according to another embodiment of the present invention includes: receiving unique data including identification information of the user terminal and application information installed in the user terminal from at least one user terminal; The method comprising the steps of: applying an application weight assigned to an application installed in the user terminal after calculating an application installed in the user terminal; summing the applied application weights to calculate a score for each user terminal; A first server for transmitting at least one unique data for a candidate to a second server connected via a network; And a second server for verifying the target candidate through at least one unique data received from the first server and providing the content with the identified target candidate.

Wherein the unique data further includes user specific information including at least one of sex, age, marital status, location, and income quadrant for each user using the user terminal, A unique information weight can be assigned.

The first server calculates the application weights and user-specific information weights by a logistic regression method, adds the application weights and user-specific information weights allocated to the installed applications for each user terminal, And < / RTI >

The first server may further include generating an application installation list for each of the user terminals after confirming the application installed in the user terminal from the received unique data.

The first server may read preset stored application weights for each of a plurality of applications, and apply application weights assigned to the installed applications in the user terminal.

The first server may calculate a probability of performing a predetermined action including at least one of reproduction of the content, installation and operation of the application, purchase payment, subscription, coupon usage, and survey response .

The first server further comprises sorting the scores in descending order and then selecting a user terminal included in a preset higher rank or a user terminal whose calculated score exceeds a preset reference score as a target candidate for a marketing activity .

The second server may provide content including at least one of cultural contents, advertisement contents, and settlement related contents as target candidates.

The cultural contents may include at least one of a novel, a cartoon, a webtoon, a game, a movie, a drama, and a musical.

The advertisement content may include advertisement or application-related information that induces the target candidate to install or run internally, or to perform at least one of a purchase settlement, a periodic subscription application, and a survey response.

The settlement related content may include a discount coupon or a credit accumulation point used by the target candidate in the purchase settlement.

The second server may issue discount coupons with different discount rates according to the time of confirming the target candidates and provide the discount coupons as the target candidates.

The second server may issue different earning points according to the time of confirming the target candidates and provide them as the target candidates.

According to another aspect of the present invention, there is provided a method of providing content for a target, the method comprising: receiving unique data including at least one identification information of the user terminal and application information installed in the user terminal from a server; Confirming an application installed in the user terminal using the unique data received by the server; Applying an application weight assigned to an application installed in the user terminal by the server; Summing the application weights applied to an application installed in the user terminal and calculating a score for the user terminal; Selecting a content to be provided by the server using at least one unique data for a target candidate of a marketing activity based on the score; And the server providing the selected content as the target candidate; .

In a content providing system for a target including a server and a user terminal according to another embodiment of the present invention, the server may receive unique data including at least one of the user terminal identification information and application information installed in the user terminal Calculates a score for the user terminal by summing the applied application weights after applying the application weights assigned to the installed applications by checking the installed applications in the user terminal using the received unique data, Based on the score, at least one unique data for the target candidate of the marketing activity, and may provide the selected content as the target candidate.

As described above, the method and system for providing contents to a target according to the present invention can select a user terminal that is predicted to be highly likely to perform a predetermined action as a target candidate, It is possible to easily provide the target candidate with contents to be promoted or advertised.

In addition, the method and system for providing contents to a target according to the present invention can provide different discount coupons or earn points to user terminals selected as target candidates according to the time that the merchant server confirms the user terminals selected as the target candidates, It is possible to reduce stock of goods sold, which can greatly reduce the cost of inventory processing.

1 is a block diagram of a content providing system for a target according to an embodiment of the present invention.
2 is a flowchart of a content providing method for a target according to another embodiment of the present invention.
3 is a flowchart illustrating a detailed process of providing a content to a user terminal selected as a target candidate by a second server.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. It will be apparent to those skilled in the art, however, that these examples are provided to further illustrate the present invention, and the scope of the present invention is not limited thereto.

BRIEF DESCRIPTION OF THE DRAWINGS The above and other objects, features and advantages of the present invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings, in which: It is to be noted that components are denoted by the same reference numerals even though they are shown in different drawings, and components of different drawings can be cited when necessary in describing the drawings. It is to be understood, however, that the invention is not intended to be limited to the particular forms disclosed, but on the contrary, is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

In the following detailed description of the principles of operation of the preferred embodiments of the present invention, it is to be understood that the present invention is not limited to the details of the known functions and configurations, and other matters may be unnecessarily obscured, A detailed description thereof will be omitted.

In addition, in the entire specification, when a part is referred to as being 'connected' to another part, it may be referred to as 'indirectly connected' not only with 'directly connected' . Also, to include an element does not exclude other elements unless specifically stated otherwise, but may also include other elements.

Also, the terms first, second, etc. may be used to describe various components, but the components should not be limited by the terms. The terms may be used for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises", "having", and the like are intended to specify the presence of stated features, integers, steps, operations, elements, components, or combinations thereof, , Steps, operations, components, parts, or combinations thereof, as a matter of principle.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries should be construed as meaning consistent with meaning in the context of the relevant art and are not to be construed as ideal or overly formal in meaning unless expressly defined in the present application .

The present invention relates to a method for selecting a target candidate by predicting the possibility that each user terminal performs a predetermined action through an application installed in at least one user terminal, And more particularly,

Hereinafter, a content providing system for a target according to an embodiment of the present invention will be described in detail with reference to FIG.

1 is a block diagram of a content providing system for a target according to an embodiment of the present invention.

1, a content providing system for a target of the present invention includes a first server 200 for selecting a target candidate among at least one user terminal and a second server 200 for providing a selected target candidate from the first server 200 And provides a content to the target candidate. At this time, the first server 200 may represent a provider server, and the second server 300 may represent a merchant server.

The first server 200 receives unique data including identification information of the user terminal 10 and application information installed in the user terminal 10 from at least one user terminal 10, (10). ≪ / RTI >

The first server 200 identifies an application installed in the user terminal 10 from the unique data, generates an application installation list for each of the user terminals 10, The application weights applied to the installed applications for the respective user terminals 10 after applying different application weights to indicate the possibility of each user terminal 10 performing predetermined predetermined actions in a score. At this time, the preset predetermined action may include at least one of a reproduction of a content, an installation and operation of an application, a purchase settlement, a periodical subscription application, a coupon usage, and a survey response.

In addition, the first server 200 may select a target candidate of a marketing activity that induces the predetermined action to be performed based on the score, and determine at least one unique data item for the user terminal 10 selected as a target candidate To the second server (300) connected via the network (20). The unique data may further include user-specific information including at least one of gender, age, marital status, location, and income quadrant for each user using the user terminal 10, Items may be assigned different user specific information weights.

Also, the first server 200 may perform a logistic regression analysis on the user-specific information weights previously set in the application weights previously set for the application installed in the user terminal 10 and the user-specific information received from the user terminal 10 The probability that the user terminal 10 performs predetermined predetermined actions is calculated by adding the application weights applied to the application installed in the user terminal 10 and the user unique information weights by using the logistic regression method, . In addition, the first server 200 may sort the scores in a descending order, and then may search the user terminal 10 included in the preset higher rank or the user terminal 10 whose score exceeds a preset reference score as target candidates Can be selected.

That is, the fact that the user terminal 10 performs a predetermined action means that it performs an action of connecting to the advertisement, installing and running the application, purchasing payment, subscription, coupon usage, and survey response . The logistic regression method used here is a probability model that predicts the likelihood of occurrence of a dependent variable using a linear combination of independent variables. In other words, the analysis method used for future prediction model by expressing the relation between dependent variable and independent variable as a function. The dependent variable is targeted to categorical data. When input data is given, the result of the input data is divided into specific categories .

The second server 300 confirms the user terminal 10 selected as a target candidate through at least one unique data received from the first server 200 and provides the contents to the user terminal 10 that has confirmed the selected candidate. At this time, the provided content may include at least one of cultural contents, advertisement contents, and payment related contents.

The cultural contents may include at least one of a novel, a cartoon, a webtoon, a game, a movie, a drama, and a musical. The advertisement contents may be installed or operated in the user terminal 10 selected as a target candidate, , A periodic subscription request, a survey response, or the like. In addition, the settlement related content may include a discount coupon or a credit accumulation point used by the user terminal 10 selected as a target candidate for purchasing payment.

The second server 300 issues discount coupons having different discount rates according to the time that the user terminal 10 selected as the target candidate is confirmed through the unique data received from the first server 200, To the user terminal 10 selected by the user.

In addition, the second server 300 may issue different earning points according to the time that the user terminal 10 selected as the target candidate is identified, and may provide the earned points to the user terminal 10 selected as the target candidate.

Hereinafter, a content providing method for a target according to another embodiment of the present invention will be described in more detail with reference to FIG.

2 is a flowchart of a content providing method for a target according to another embodiment of the present invention.

As shown in FIG. 2, in the content providing method for a target according to the present invention, an application weight having a different value is set in advance for each of a plurality of applications previously collected through a settlement agency platform such as PAYCO. In addition, each item of user-specific information including at least one of sex, age, marital status, location, and income quartile for each user using the plurality of user terminals 10 previously collected through the settlement agency platform The user-specific information weight previously assigned to the user-specific information is also stored.

The first server 200 then transmits unique data including the identification information of the user terminal 10 and the application information installed in the user terminal 10 from a plurality of user terminals 10 connected through the wire / wireless network 20, Respectively (S410). At this time, the unique data may further include user-specific information including at least one of sex, age, marital status, location, and income quadrant for each user who uses the user terminal 10, Each item may be assigned a user specific information weight having a different value.

In step S420, the first server 200 checks the unique data received in step S410 and identifies an application installed in the user terminal 10, respectively. At this time, after the first server 200 confirms the application installed in the user terminal 10, the application installation list for each of the user terminals is created. The generated application installation list can be separately stored.

Table 1 below is an example of unique data received from a plurality of user terminals 10 from user 1 to user N + M.

<Table 1>

It can be seen from the table 1 that the first server 200 has received unique data including gender, age range, and installed application information from a plurality of user terminals 10. [ As a result, it can be seen that a user who uses the user terminal 1 (user 1) is a man who is between 35 and 39 years of age and that only the 'Starbucks' application corresponding to a food and beverage application is installed in the user terminal 1 have.

In contrast, in the table 1, the unique data received from the user terminal N includes a user who uses the user terminal N and is of a male age range of 25 to 29 years old, You can see that the application, Starbucks, the cosmetic application The Face Shop, and the shopping application, POOM, are installed, respectively.

Table 2 below shows an example of the application installation list. The configuration of the application installation list may be added or changed in accordance with the application information included in the received unique data.

<Table 2>

Then, the first server 200 reads the application installed in the user terminal, that is, the different application weights allocated to the application installation list from the application weights previously set for each of the plurality of applications (S430). At this time, the first server 200 is previously allocated to user-specific information including at least one of gender, age, marital status, location, and income level for each user using the corresponding user terminal, Weights are also read together.

As shown in the following Table 3, the first server 200 may previously allocate, in advance, each of the applications installed in the user terminal, that is, the respective applications included in the application installation list and the user specific information received from the at least one user terminal And can read the stored application weights and user unique information weights. At this time, the pre-stored application weights and the user-specific information weights may be calculated differently depending on the types of marketing activities or the second server 300 performing the marketing activities.

<Table 3>

In operation S440, the first server 200 sums the application weights applied to the applications installed for the respective user terminals 10, and calculates the probability of each user terminal performing predetermined actions in operation S440. Here, the preset predetermined action calculated by the score means that each user terminal 10 accesses an advertisement, installs and runs a specific application, or makes a purchase payment, a subscription application, a coupon use, a survey response Acts. For example, each user terminal 10 may be able to calculate a probability of performing a purchase settlement action in an "artifact" application, which is a bakery and beverage application.

To this end, the user-specific information weights previously allocated to the application weights allocated to the applications installed in the respective user terminals 10 and the user-specific information received from the user terminals are subjected to logistic regression analysis the user terminal 10 calculates a predetermined behavior by the following equation (1), which is calculated by the following equation (1) for adding the application weight and the user unique information weight applied to the application installed for each user terminal 10 Probability to perform can be calculated with probability.

[Equation 1]

As shown in Table 1, user 1 is a user terminal 1 used by a man who is between 35 and 39 years of age. Therefore, the user 1 has a basic weight value of -5.597007, The user specific information weighting value 0.1179367 corresponding to the age range is added because the user specific information weighting 0.2931738 allocated to the user specific information of male is added and the age range of the user is between 35 and 39 years. In addition, since only the 'Starbucks' application, which is a food and beverage application, is installed in the user terminal 1, an application weight of 0.5856063 allocated to the Starbucks application included in the application installation list is also added, and finally, Probability of 0.323820.

The computation process of Equation (1) is performed for each of the plurality of user terminals 10, so that it is possible to calculate the possibility that each user terminal 10 performs predetermined predetermined behavior with a probability between 0 and 1 .

Then, the first server 200 transmits at least one unique data on the target candidate of the marketing activity to the second server 300 connected via the network, which induces the first server 200 to perform a preset predetermined action based on the score indicated by the first server 200 (S450).

In particular, the first server 200 may sort in descending order on the basis of the score of each user terminal 10, and may be arranged by the second server 300, for example, 200 candidate user terminals 10 may be selected as the target candidates or all of the user terminals 10 exceeding the reference score preset by the second server 300, for example, 0.5, Can be selected.

Accordingly, the user terminal 10 selected as the target candidate from the unique data received by the second server 300 determines exactly which terminal the terminal is, and provides the content to the verified user terminal 10 (S460).

Hereinafter, with reference to FIG. 3, a process of providing a content to a user terminal selected by the second server as a target candidate will be described in more detail.

3 is a flowchart illustrating a detailed process of providing a content to a user terminal selected as a target candidate by a second server.

As shown in FIG. 3, the second server 300 provides the content including at least one of the cultural contents, the advertisement contents, and the payment related contents to the user terminal 10 selected as the target candidate (S461).

The cultural contents may include at least one of a novel, a cartoon, a webtoon, a game, a movie, a drama, and a musical. In particular, before providing the cultural contents, the second server 300 first confirms the user-specific information about the age of the unique data of the user terminal 10 selected as the target candidate (S462). Thereafter, the second server 300 may search the allowed cultural contents in the identified age range (S463), and provide the searched cultural contents to the user terminal selected as the target candidate (S464). Also, at this time, only a part of the entire contents can be provided to the user terminal 10 selected as the target candidate in the form of a preliminary 1 minute, 10 pages, 4 cuts, etc., After the preliminarily set preview period has passed, the user terminal 10 selected as the target candidate confirms whether or not to purchase the entirety of the cultural contents provided by the target terminal (S465), and the second server 300 May be provided to the user terminal 10 selected as the target candidate (S466).

Further, an advertisement or application-related information that induces the second server (S300) to perform at least one of a purchase settlement, a periodical subscription application, and a survey response by installing or driving the user terminal (10) May be provided to the user terminal selected as the target candidate (S467).

In addition, the settlement related content may include a discount coupon or a credit accumulation point used by the user terminal 10 selected as a target candidate for purchasing payment. In particular, the second server 300 checks the time at which the user terminal 10 selected as the target candidate is confirmed (S468), issues a discount coupon having different discount rates according to the determined time, To the terminal 10 (S469). For example, if the second server 300 confirms the user terminal selected as the target candidate using the unique data received from the first server 200 at 9:00 am, a 15% discount coupon is generated, If the second server 300 confirms the user terminal selected as the target candidate at 9:00 PM, it generates a 70% discount coupon and selects the target candidate as the target candidate To the user terminal (10).

Particularly, when the second server 300 belongs to the bakery business, there is a shelf life in the product to be sold, so that the advertisement effect of the product can be expected instead of applying a low discount rate to the product that is not imminent to the shelf life . However, unlike the above, for products that are close to the expiration date, a high discount rate can be applied to induce the product to be sold within the expiration date, thereby reducing the inventory processing cost accordingly.

Alternatively, the second server 300 may issue different earning points according to the time that the user terminal 10 selected as the target candidate is confirmed, and may provide the earned points to the user terminal 10 selected as the target candidate (S469) . For example, when the second server 300 confirms the user terminal 10 selected as the target candidate using the unique data received from the first server 200 at 9:00 am, the accumulation point of 2000P is When the second server 300 confirms the user terminal 10 selected as the target candidate at 9:00 PM, the user terminal 10 selected as the target candidate 10) may be issued to the user terminal 10 selected as the target candidate.

In addition, as described above, the present invention not only provides contents using target servers using a plurality of servers, but also can provide contents with target candidates using only one server.

A method for providing content to a target according to another embodiment of the present invention, which provides a target candidate using only one server, is characterized in that one specific server transmits identification information of the user terminal, Lt; RTI ID = 0.0 &gt; application &lt; / RTI &gt;

Next, the server checks the installed application in the user terminal using the received unique data, and the server applies the application weight assigned to the installed application in the user terminal.

Thereafter, the server calculates a score as a probability of performing a predetermined action for the user terminal by summing the application weights applied to the application installed in the user terminal.

The server selects a content to be provided using at least one unique data of a target candidate of a marketing activity based on the score, and then provides the selected content to the target candidate.

The method of providing content for a target according to another embodiment of the present invention is similar to the method described above with reference to FIG. 2, but since only one server is used in this embodiment, at least one unique data To another server is omitted.

In addition, a content providing system for a target according to another embodiment of the present invention comprises one server and at least one user terminal.

At this time, the server receives unique data including identification information of the user terminal and application information installed in the user terminal from at least one user terminal, identifies an application installed in the user terminal using the received unique data, Applying the application weights assigned to the installed application, summing the application weights applied to the user terminal and calculating the sum by applying the application weights to the user terminal, and using at least one unique data for the target candidate of the marketing activity based on the score The content to be provided may be selected, and the selected content may be provided as the target candidate.

As described above, in order to provide the target candidate using only a single server, the single server receives a plurality of contents from a plurality of different servers before performing the present invention. After selecting appropriate content to provide as a target candidate identified using the unique data of the target candidate according to the score of the user terminal, the selected content may be transmitted to the target candidate.

As described above, the method and system for providing contents to a target according to the present invention can select a user terminal that is predicted to be highly likely to perform a predetermined action as a target candidate, It is possible to easily provide the target candidate with contents to be promoted or advertised.

In addition, the method and system for providing contents to a target according to the present invention can provide different discount coupons or earn points to user terminals selected as target candidates according to the time that the merchant server confirms the user terminals selected as the target candidates, It is possible to reduce stock of goods sold, which can greatly reduce the cost of inventory processing.

Embodiments of the present invention may be implemented in the form of program instructions that can be executed on various computer means and recorded on a computer readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape, optical media such as CD-ROMs and DVDs, magnets such as floptical disks, Examples of program instructions, such as magneto-optical and ROM, RAM, flash memory and the like, can be executed by a computer using an interpreter or the like, as well as machine code, Includes a high-level language code. The hardware devices described above may be configured to operate as at least one software module to perform operations of one embodiment of the present invention, and vice versa.

It will be apparent to those skilled in the relevant art that various modifications, additions and substitutions are possible, without departing from the spirit and scope of the invention as defined by the appended claims. The appended claims are to be considered as falling within the scope of the following claims.

200: first server 300: second server
10: user terminal 20: network

Claims (28)

The first server receives at least one of the identification information of the user terminal, application information installed in the user terminal, and sex, age, marital status, location, and income quartile for each user using the user terminal from at least one user terminal The method comprising: receiving unique data including user-specific information, wherein each item of user-specific information is assigned a different user-unique information weight;
Confirming an application installed in the user terminal from the unique data by the first server;
The first server applying an application weight assigned to an installed application in the user terminal;
Summing the application weights applied to an application installed in the user terminal and calculating a sum with respect to each user terminal;
The first server sending at least one unique data for a target candidate of a marketing activity based on the score to a second server connected through a network; And
Determining a target candidate from at least one unique data received by the second server and providing the content;
Lt; / RTI &gt;
After performing the step of calculating the score for each user terminal by the first server and then transmitting the at least one unique data for the target candidate of the marketing activity to the second server, Selecting a user terminal included in a preset higher rank or a user terminal whose calculated score exceeds a predetermined reference score as a target candidate for marketing activity,
The step of the first server summing the application weights applied to the application installed in the user terminal and calculating the sum with the score for each user terminal
A probability of performing a predetermined action including at least one of a periodical subscription request, a coupon usage, and a survey response is calculated.
Wherein the step of providing the content after confirming the target candidate from the at least one unique data received by the second server
The contents including at least one of cultural contents, advertisement contents, and payment related contents including a discount coupon or a credit accumulation point used by the target candidate in payment of purchase, as target candidates, A discount coupon having a discount coupon or a different earning point, and providing the target candidate as the target candidate.
delete The method according to claim 1,
The score
Wherein the application weights and the user-specific information weights are calculated by a logistic regression method, and the application weights and the user-specific information weights allocated to the installed applications for each user terminal are added up and calculated with probability A method of providing content to a target.
The method according to claim 1,
Wherein the step of the first server verifying the installed application in the user terminal from the unique data comprises:
Further comprising generating an application installation list for each of the user terminals after confirming the installed application in the user terminal.
The method according to claim 1,
Wherein the applying of the application weights assigned to the application installed in the user terminal by the first server
Reading the previously stored application weights for each of the plurality of applications, and applying the application weights assigned to the installed applications in the user terminal.
delete delete delete The method according to claim 1,
The cultural content
A novel, a cartoon, a webtoon, a game, a movie, a drama, and a musical.
The method according to claim 1,
The ad content
Wherein the target candidate includes advertisement or application-related information that induces the target candidate to install or drive it, or to perform at least one of a purchase settlement, a periodic subscription application, and a survey response.
delete delete delete The method comprising: receiving, from at least one user terminal, user identification information of the user terminal, application information installed in the user terminal, and user information including at least one of sex, age, marital status, Wherein each of the items of the user-specific information includes unique data to which different user-specific information weights are allocated, identifies an application installed in the user terminal through the unique data, , Applying the application weights assigned to the application candidates, summing the applied application weights and calculating them as a score for each user terminal, and generating at least one unique data for the target candidate of the marketing activity based on the score With a first server that transmits a second server; And
A second server for confirming a target candidate through at least one unique data received from the first server and providing the content with the identified target candidate;
Lt; / RTI &gt;
The first server
Calculating a probability of performing a predetermined action including at least one of a subscription request, a coupon usage, and a survey response, calculating a score for each user terminal, sorting the scores in a descending order, Further comprising selecting a user terminal included in a preset higher rank or a user terminal whose calculated score exceeds a preset reference score as a target candidate of a marketing activity,
The second server
Content that includes at least one of cultural contents, advertisement contents, and payment related contents including a discount coupon or a credit accumulation point used by the target candidate in payment of purchase, as a target candidate, and a different discount rate Discount coupons or different points to be awarded as the target candidates.
delete 15. The method of claim 14,
The first server
Further comprising calculating the application weights and user unique information weights by a logistic regression method and summing the application weights and user unique information weights allocated to the installed applications for each user terminal and calculating by probability And a content providing system for a target.
15. The method of claim 14,
The first server
Further comprising generating an application installation list for each of the user terminals after confirming the application installed in the user terminal from the received unique data.
15. The method of claim 14,
The first server
Reads the previously stored application weights for each of the plurality of applications, and applies the application weights assigned to the installed applications in the user terminal.
delete delete delete 15. The method of claim 14,
The cultural content
A novel, a cartoon, a webtoon, a game, a movie, a drama, a musical, or the like.
15. The method of claim 14,
The ad content
Wherein the target candidate includes advertisement or application-related information that induces the target candidate to install or run in the inside, or to perform at least one of a purchase settlement, a regular subscription application, and a survey response.
delete delete delete The server includes at least one of the identification information of the user terminal, application information installed in the user terminal, and at least one of gender, age, marital status, location, and income quartile for each user using the user terminal from at least one user terminal The method comprising: receiving unique data including user-specific information, wherein each item of the user-specific information is assigned unique user-specific information weights;
Confirming an application installed in the user terminal using the unique data received by the server;
Applying an application weight assigned to an application installed in the user terminal by the server;
Summing the application weights applied to an application installed in the user terminal and calculating a score for the user terminal;
Selecting a content to be provided by the server using at least one unique data for a target candidate of a marketing activity based on the score; And
The server providing the selected content as the target candidate;
Lt; / RTI &gt;
The step of the server summing the application weights applied to the application installed in the user terminal and calculating with the score for the user terminal
A probability of performing a predetermined action including at least one of a periodical subscription request, a coupon usage, and a survey response is calculated.
The step of the server selecting the content to be provided using at least one unique data for the target candidate of the marketing activity based on the score
A user terminal included in a preset higher rank or a user terminal whose calculated score exceeds a preset reference score is selected as a target candidate of a marketing activity after sorting the scores in descending order,
Wherein the step of the server providing the selected content to the target candidate
Content that includes at least one of cultural contents, advertisement contents, and payment related contents including a discount coupon or a credit accumulation point used by the target candidate in payment of purchase, as a target candidate, and a different discount rate A discount coupon having a discount coupon or a different earning point, and providing the target candidate as the target candidate.
A content providing system for a target, comprising a server and a user terminal,
The server
The method comprising: receiving, from at least one user terminal, user identification information of the user terminal, application information installed in the user terminal, and user information including at least one of sex, age, marital status, Wherein each of the items of the user-specific information includes unique data to which different user-specific information weights are allocated, identifies an application installed in the user terminal using the received unique data, After applying the assigned application weights, summing the applied application weights and calculating them as a score for the user terminal, and providing at least one unique data for the target of the marketing activity based on the score Wherein the predetermined content is provided as the target candidate. The method according to claim 1, further comprising the step of providing the selected content as the target candidate. A user terminal included in a preset higher rank or a user terminal whose calculated score exceeds a preset reference score is used as a target candidate of a marketing activity And content related to at least one of cultural contents, advertisement contents, and settlement related contents including a discount coupon or a credit accumulation point used by the target candidate in settlement of purchase, as a target candidate, Discount coupons with different discount rates or different points Narrow and the content providing system to a target, characterized in that provided in the target candidate.

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