KR20150096575A - Targeting advertising method and system - Google Patents

Abstract

A targeting advertising method and system are provided. The targeting advertisement method includes the steps of receiving an advertisement request from a user terminal, calculating a relevance of each advertisement of the targeted advertisement list using a search history of the user terminal and an action history of the search result, The method comprising: generating an effective targeting advertisement list including an advertisement executable for the user terminal among the targeting advertisement lists; determining an advertisement to be executed in response to the advertisement request among the available targeting advertisement lists; Wherein the step of calculating the degree of association includes using the first information among the search history and the behavior history of the search result as an additive element, The correlation is calculated using the subtraction factor.

Description

[0001] TARGETING ADVERTISING METHOD AND SYSTEM [0002]

The present invention relates to an advertisement method and system, and more particularly, to a method and system for a targeting advertisement using a search history of a user and an action history of the search result.

Although the targeting advertisement of the present invention described below is mainly described in the case where the target of targeting is a user who performs a search on a portal site or the like on the Internet (so-called search user targeting), such a targeting advertisement is an advertisement technique, , Targeting techniques such as local targeting, interest targeting, profile targeting, and the like, and should be construed to include all targeting advertisements employing the tasks of the present invention.

A user can input a search word into a search engine to obtain desired information. The information thus obtained by the user can reflect the user's interest. The user's interest can be information for enhancing the advertisement effect.

Targeting advertising refers to an advertisement technique that enhances the effectiveness of an advertisement by notifying all users but by targeting the users belonging to the targeting group using user information. A targetting advertisement that targets a user as described above refers to an advertisement technique in which an advertisement is executed by comparing a search word input by a user with a registered search word of the advertisement.

The conventional targeting advertisement has a problem in that it can not take into account the search history of the user since the targeting advertisement is performed using the search history of the user when the advertisement service is applied or the registered search word of the advertisement is set. In addition, the conventional targeting advertisement has a problem that the search history of the user, which occurs after expiration of the valid period, can not be considered because the validity period for collecting and managing the search history of the user is fixed (for example, one day) . In addition, since the conventional targeting advertisement does not use the behavior history of the search result of the user, the suitability of the advertisement for the user can not be specifically considered.

A problem to be solved by the present invention is to provide a method and system for a targeting advertisement using a search history of a user when an advertisement service is requested or a registered search word of the advertisement is set before a predetermined time.

Another object of the present invention is to provide a method and system for a targeting advertisement that collects and manages a search history of a user during a non-fixed period and uses a search history of a user whose range is a non-fixed period.

Another object of the present invention is to provide a method and system for a targeting advertisement using a search result history of a user in addition to a search history of a user.

The problems to be solved by the present invention are not limited to the above-mentioned problems, and other matters not mentioned can be clearly understood by those skilled in the art from the following description.

According to another aspect of the present invention, there is provided a method for advertising a target, comprising the steps of receiving an advertisement request from a user terminal, associating a search history of the user terminal with a search history, Generating an effective targeting advertisement list including an advertisement executable with respect to the user terminal among the targeting advertisement lists based on the degree of association, performing an execution in response to the advertisement request among the available targeting advertisement lists, Wherein the step of calculating the degree of association comprises the steps of: determining an advertisement to be performed on the search result, and executing the advertisement on the user terminal according to the determination result, Is used as an addition element, and the second information is used as a subtraction element to calculate the degree of association The.

In some embodiments of the present invention, the first information among the search histories may include an input count of a registered search term of an advertisement, and the second information may include an input elapsed time of the registered search term.

In addition, the first information among the search histories may further include an input frequency of a search word similar to a registered search word of the advertisement, and the second information may further include an input elapsed time of the similar search word.

In some embodiments of the present invention, the first information of the behavior history of the search result includes at least one of a click of a search advertisement, a click of a shopping product advertisement, and a click of a search result, Purchase, and hide an advertisement.

In some embodiments of the present invention, the step of calculating the relevance per advertisement of the targeting advertisement list may include calculating a degree of relevance of the advertisement of the targeted advertisement list using the search history of the user terminal and the behavior history of the search result, The star correlation can be calculated.

In some embodiments of the present invention, the step of calculating the relevance per advertisement of the targeting advertisement list may include calculating a degree of association of each advertisement in the targeting advertisement list with respect to the user terminal in real time when receiving the advertisement request from the user terminal Can be calculated.

In some embodiments of the present invention, the step of calculating the relevance per advertisement of the targeting advertisement list may periodically calculate the degree of association of the targeting advertisement list with respect to all advertisement target user terminals.

In some embodiments of the present invention, the step of generating the effective targeting advertisement list may include the steps of: determining an advertisement of the targeting advertisement list whose association degree is larger than the reference association degree; And generating the effective targeting advertisement list including the advertisement targeting advertisement list.

In some embodiments of the present invention, the step of determining an advertisement to be executed in response to the advertisement request may determine an advertisement to be executed in response to the advertisement request among the effective targeting advertisement list and the other advertisement list.

According to an aspect of the present invention, there is provided a targeting advertisement system including a target advertisement list storing a target advertisement list, a search history of a user terminal, and a behavior history of the search results, An effective targeting advertisement list generating unit for generating an effective targeting advertisement list including an advertisement executable for the user terminal among the targeting advertisement lists based on the degree of association, And an advertisement executor for determining an advertisement to be executed in response to the advertisement request received from the user terminal and for executing the advertisement in the user terminal according to the determination result, The first information of the behavior history of the search result is Used as the element, and the second information, and calculates the associated also with a subtraction element.

In some embodiments of the present invention, the first information among the search histories may include an input count of a registered search term of an advertisement, and the second information may include an input elapsed time of the registered search term.

In addition, the first information among the search histories may further include an input frequency of a search word similar to a registered search word of the advertisement, and the second information may further include an input elapsed time of the similar search word.

In some embodiments of the present invention, the first information of the behavior history of the search result includes at least one of a click of a search advertisement, a click of a shopping product advertisement, and a click of a search result, Purchase, and hide an advertisement.

In some embodiments of the present invention, the effective targeting advertisement list generation unit may calculate the relevance per advertisement of the targeted advertisement list by using the search history of the user's terminal and the behavior history of the search result per a predetermined unit time .

In some embodiments of the present invention, the effective targeting advertisement list generation unit may calculate the association degree of each advertisement of the targeting advertisement list with respect to the user terminal in real time when receiving the advertisement request from the user terminal.

In some embodiments of the present invention, the effective targeting advertisement list generation unit may periodically calculate the association degree of each advertisement target list of the targeted advertisement user terminal.

In some embodiments of the present invention, the effective targeting advertisement list generation unit may determine that the advertisement of the targeting advertisement list is larger than the reference association degree, A list of targeting advertisements can be generated.

In some embodiments of the present invention, the advertisement executive may determine an advertisement to be executed in response to the advertisement request among the effective targeting advertisement list and other advertisement list.

Other specific details of the invention are included in the detailed description and drawings.

According to the above-described targeting advertisement method and system of the present invention, a search history of a user occurring at a point of time when an advertisement service is requested or a registered search word of an advertisement is set is used, and a search history of a user is collected during a non- And uses the search history of the user who has the non-fixed period as the range and utilizes the action history of the user's search result in addition to the search history of the user, thereby enhancing the advertisement effect by executing the advertisement more suitable to the user's interest .

FIG. 1 is a block diagram illustrating an environment in which a targeting advertisement system operates according to an embodiment of the present invention. Referring to FIG.
2 is a block diagram illustrating a detailed configuration of a targeting advertisement system according to an embodiment of the present invention.
3 is a block diagram illustrating a detailed configuration of a targeting advertisement system according to another embodiment of the present invention.
4 is a flowchart illustrating a targeting advertisement method according to an embodiment of the present invention.
5 is a flowchart illustrating a targeting advertisement method according to another embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will become apparent with reference to the embodiments described in detail below with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims.

It is to be understood that one element is referred to as being "connected to" or "coupled to" another component, either directly connected or coupled to another component, Element is included. On the other hand, when an element is referred to as being "directly coupled to" or "directly coupled to " another element, it means that it does not intervene in another element.

Like reference numerals refer to like elements throughout the specification. "And / or" include each and every combination of one or more of the mentioned items.

Although the first, second, etc. are used to describe various modules, components and / or sections, it is to be understood that these modules, components and / or sections are not limited by these terms. These terms are only used to distinguish one module, component or section from another module, component or section. Therefore, it goes without saying that the first module, the first component or the first section mentioned below may be the second module, the second component or the second section within the technical spirit of the present invention.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. It will be further understood that the terms "comprises" and / or "comprising," as used herein, mean that an element, step, operation, and / Or additions.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

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

FIG. 1 is a block diagram illustrating an environment in which a targeting advertisement system according to an embodiment of the present invention operates; FIG. 2 is a block diagram illustrating a detailed configuration of a targeting advertisement system according to an exemplary embodiment of the present invention .

Referring to FIG. 1, an advertisement system 100 is connected to an advertiser terminal 200 and a user terminal 300. The advertisement system 100 may receive an advertisement service application from the advertiser terminal 200. [ The advertisement system 100 may receive the advertisement request from the user terminal 200 and may execute the advertisement in the user terminal 200 in response to the advertisement request.

The advertiser terminal 200 may be connected to the advertisement system 100 via a network. An advertiser can send and receive information and / or data to and from the advertisement system 100 using the advertiser terminal 200. For example, the advertiser terminal 200 may include a server, a desktop, a laptop, a mobile communication terminal, a PDA (Personal Digital Assistant), a smart phone, a tablet, (smart TV), and the like, but the present invention is not limited thereto.

The user terminal 300 may be connected to the advertisement system 100 via a network. The user can send and receive information and / or data to / from the advertisement system 100 using the user terminal 300. For example, the user terminal 300 may be a communication device such as a server, a desktop, a notebook, a mobile communication terminal, a PDA, a smart phone, a tablet, a smart TV, and the like, but the present invention is not limited thereto.

1, the advertisement system 100 is connected to one advertiser terminal 200 and one user terminal 300. However, the present invention is not limited thereto, and the advertisement system 100 may include a plurality of advertiser terminals 200, (200) and / or a plurality of user terminals (300).

Referring to FIG. 2, the advertisement system 100 includes a targeting advertisement list storage unit 110, an effective targeting advertisement list generation unit 120, a search history storage unit 130, a search result behavior history storage unit 140, And an execution unit 150.

 The targeting advertisement list storage unit 110 stores a list of targeting advertisements. The targeted advertisement list may include at least one advertisement for which the advertiser terminal 200 subscribes to the advertisement service. At least one registered search term can be set for each advertisement.

The effective targeting advertisement list generator 120 calculates the relevance of each of the targeted advertisements in the targeted advertisement list and generates an effective targeted advertisement list based on the degree of association. The effective targeting advertisement list includes an executable advertisement for the user terminal 300 among the targeted advertisement lists.

Specifically, the effective targeting advertisement list generation unit 120 may calculate the association degree using the search history of the user terminal 300 and the action history of the search results. The degree of association can be a measure of the predicted advertising effect when the ad is run to the user. Such " association " may be referred to as " fitness " or " score ".

The search history storage unit 130 stores a search history of the user terminal 300. [ For example, the search history may include information such as a search word entered by the user using the user terminal 300, an input number of the search word, an input time of the search word, and the like. The search history storage unit 130 may store a search history of the user terminal 300 per predetermined unit time.

The search result behavior history storage unit 140 stores the behavior history of the search results of the user terminal 300. [ For example, the behavior history of the search result may include information such as a click of a search advertisement, a click of a shopping product advertisement, a click of a search result, and the like. However, the present invention is not limited to this, and the behavior history of the search result may further include information such as purchase of a shopping item, hiding an advertisement (for example, hiding an advertisement which is searched and exposed, etc.) . The search result behavior history storage unit 140 stores the behavior history of the search results of the user terminal 300 per unit time.

The search history of the user terminal 300 and the action history of the search results may be obtained from the cookie information collected by a web browser installed in the user terminal 300 or may be acquired from a tracker installed in the user terminal 300. [ Can be obtained from the collected log information. However, the present invention is not limited to this, and the search history of the user terminal 300 and the behavior history of the search results may be obtained by other methods not illustrated.

Hereinafter, a method for calculating the relevancy of the effective targeting advertisement list generation unit 120 and generating an effective targeting advertisement list based on the degree of association will be described in more detail.

Table 1 shows an example of a list of targeted advertisements in which a plurality of registered search words are set.

[Table 1]

In order to calculate the degree of association, the effective targeting advertisement list generation unit 120 uses the first information among the search history and the action history for the search result as an addition element, and uses the second information as a subtraction element, Can be calculated. For example, the effective targeting advertisement list generating unit 120 may use the number of input of the registered search word and the weight of the behavior of the search result as an addition element, and use the input elapsed time of the registered search word as a subtraction element.

According to the embodiment, the effective targeting advertisement list generating unit 120 may further use the input times of the search words similar to the registered search words and the input elapsed time of the similar search words. For example, when the registered search word is " jeans ", the effective targeting advertisement list generation unit 120 generates not only the input count and the input elapsed time of " jeans ", but also the number of times of inputting " male jeans & The degree of association can also be calculated using the elapsed time.

The input elapsed time may be calculated using the input time.

In this case, the degree of association can be calculated by Equation (1).

[Equation 1]

Table 2 shows an example of the weight of behavior for the user ' s search result.

[Table 2]

Table 3 shows examples of the user's search history and the behavior history of the search results.

[Table 3]

Assuming that the advertisement system 100 receives the advertisement request from the user 1 and the user 2 on Feb. 4, the association degree for each advertisement can be calculated as shown in Tables 4 and 5. Table 4 shows the result of calculation of the per-advertisement association for user 1, and Table 5 shows the result of calculating the per-advertisement association for user 2.

[Table 4]

[Table 5]

The effective targeting advertisement list generating unit 120 may determine an advertisement having a degree of association larger than a reference degree of relevance among the targeted advertisement lists. Then, the effective targeting advertisement list generating unit 120 may generate an effective targeting advertisement list including an advertisement whose degree of association is larger than the reference association degree. That is, the advertisement having the association degree larger than the reference association degree among the list of the targeting advertisement is executable for the user terminal 300.

Meanwhile, it is known that the calculation of the association degree to generate the advertisement list is to determine whether the user is the target of the advertisement or the target user. The targeting advertisement list generation unit 120 calculates the association degree It is possible to determine whether the target user of the advertisement is separately from or in addition to calculating the association degree.

Here, when the example of the reference association is set to 1, the effective targeting advertisement list for user 1 includes AD1 and may not include AD2. For the user 2, the effective targeting advertisement list may not include both AD1 and AD2.

On the other hand, in order to calculate the degree of association, the effective targeting advertisement list generating unit 120 may use the weight of the action on the search result as a subtraction element. This may be possible by setting the weight to less than 1.0. Table 6 shows an example of the weight of the behavior for the search result of the user used as the subtraction element.

[Table 6]

According to the method described above, the effective targeting advertisement list generating unit 120 can calculate the relevance per advertisement of the targeted advertisement list with respect to the user terminal 300 in real time when receiving the advertisement request from the user terminal 300 .

Alternatively, the effective targeting advertisement list generating unit 120 may periodically calculate the relevance of each of the targeted advertisement user terminals in the targeted advertisement list.

On the other hand, priorities can be defined among the advertisements included in the effective targeting advertisement list. The priority can be determined based on the degree of association of the advertisement, the advertising price, or the advertising effect.

The advertisement execution unit 150 determines the advertisement to be executed in response to the advertisement request received from the user terminal 300 among the available targeting advertisement lists. The advertisement execution unit 150 executes the advertisement on the user terminal 300 according to the determination result.

1, a targeting advertisement list storage unit 110 of the advertisement system 100, an effective targeting advertisement list generation unit 120, a search history storage unit 130, a search result behavior history storage unit 140, an advertisement execution unit 150 It is apparent to those skilled in the art that some or all of the components of the advertisement system 100 may be integrally formed.

3 is a block diagram illustrating a detailed configuration of a targeting advertisement system according to another embodiment of the present invention. For convenience of description, description will be made focusing on differences from the advertisement system 100 of FIG.

Referring to FIG. 3, the advertisement system 200 further includes another advertisement list storage unit 160.

The other advertisement list storage unit 160 stores other advertisement lists. For example, the other advertisement list may include an advertisement such as a display advertisement, a search advertisement, a local advertisement, etc., which are not included in the targeted advertisement list.

The advertisement execution unit 150 determines an advertisement to be executed in response to an advertisement request received from the user terminal 300 among the list of available targeting advertisements and other advertisements. The advertisement execution unit 150 may determine an advertisement to be executed based on the advertisement price determined according to real-time bidding. Alternatively, the advertisement executive 150 may determine an advertisement to be executed based on the advertisement effect (e.g., CTR (Click Through Rate)). The advertisement execution unit 150 executes the advertisement on the user terminal 300 according to the determination result.

4 is a flowchart illustrating a targeting advertisement method according to an embodiment of the present invention.

Referring to FIG. 4, the advertisement system 100 receives an advertisement request from the user terminal 300 (S310).

Then, the advertisement system 100 calculates the association degree of each advertisement of the targeted advertisement list (S320).

Specifically, the advertisement system 100 may calculate the degree of association using the search history of the user terminal 300 and the behavior history of the search results. The advertisement system 100 can calculate the association degree using the search history of the user terminal 300 and the behavior history of the search result per a predetermined unit time.

More specifically, the advertisement system 100 can calculate the association degree by using the first information among the search history and the action history with respect to the search result as an addition element and the second information as a subtraction element.

The first information among the search histories may include an input count of the registered search words of the advertisement, and the second information may include an input elapsed time of the registered query. According to an embodiment, the first of the search histories may further include a number of times of inputting a search word similar to a registered search word of the advertisement, and the second information may include an input elapsed time of the similar search word.

The first information includes at least one of a click of a search advertisement, a click of a shopping product advertisement, and a click of a search result, and the second information includes at least one of a purchase of a shopping item and an advertisement hiding .

The advertisement system 100 can calculate the association degree of the target advertisement list of the target terminal with respect to the user terminal 300 in real time when receiving the advertisement request from the user terminal 300. [

Alternatively, the advertisement system 100 may periodically calculate the degree of association of each advertisement target user terminal with respect to the advertisement of the targeted advertisement.

Then, the advertisement system 100 generates an effective targeting advertisement list based on the degree of association (S330). The effective targeting advertisement list includes an executable advertisement for the user terminal 300 among the targeted advertisement lists. The advertisement system 100 can determine an advertisement having a degree of association larger than a reference degree of relevance among the list of targeted ads and determine an advertisement having a degree of association larger than the standard degree of association as an executable advertisement for the user terminal 300. [ On the other hand, priorities may be determined based on the degree of association, advertisement price, or advertisement effect among the advertisements included in the effective targeting advertisement list.

Then, the advertisement system 100 determines an advertisement to be executed in response to the advertisement request received from the user terminal 300 among the available targeting advertisement lists (S340).

Then, the advertisement system 100 executes an advertisement to the user terminal 300 according to the determination result (S350).

5 is a flowchart illustrating a targeting advertisement method according to another embodiment of the present invention. For convenience of explanation, the advertisement method of FIG. 4 and differences will be described.

Referring to FIG. 5, the advertisement system 200 performs steps S410 through S430 in the same manner as steps S310 through S330 of the advertisement method of FIG.

Then, the advertisement system 200 determines an advertisement to be executed in response to the advertisement request received from the user terminal 300 among the list of available targeting advertisements and other advertisement (S440). For example, the list of other ads may include advertisements such as display ads, search ads, local advertisements, etc. that are not included in the list of targeted advertisements. The advertisement system 200 can determine an advertisement to be executed based on the advertisement price determined according to the real-time beading. Alternatively, the advertisement system 200 may determine an advertisement to enforce based on the advertising effect (e.g., CTR).

Then, the advertisement system 200 executes an advertisement to the user terminal 300 according to the determination result (S450).

The steps of a method or algorithm described in connection with the embodiments of the invention may be embodied directly in hardware, software modules, or a combination of the two, executed by a processor. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a hard disk, a removable disk, a CD-ROM, or any form of computer readable recording medium known in the art Lt; / RTI > An exemplary recording medium is coupled to a processor, which is capable of reading information from, and writing information to, the recording medium. Alternatively, the recording medium may be integral with the processor. The processor and the recording medium may reside in an application specific integrated circuit (ASIC). The ASIC may reside within the user terminal. Alternatively, the processor and the recording medium may reside as discrete components in a user terminal.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

100: Advertising system
110: Targeting advertisement list storage unit
120: Effective Targeting Advertisement List Generation Unit
130: Search history storage unit
140: Search result behavior history storage unit
150: Advertising executive
160: Other advertisement list storage unit
200: Advertiser terminal
300: User terminal

Claims (18)

Receiving an advertisement request from a user terminal;
Calculating a degree of association for each advertisement of the targeted advertisement list using a search history of the user terminal and an action history of the search results;
Generating an effective targeting advertisement list including an advertisement executable for the user terminal among the targeting advertisement lists based on the degree of association;
Determining an advertisement to be executed in response to the advertisement request among the available targeting advertisement lists; And
And executing an advertisement in the user terminal according to the determination result,
Wherein the step of calculating the degree of association calculates the degree of association using the first information among the search history and the behavior history of the search result as an addition element and the second information as a subtraction element. The method according to claim 1,
Wherein the first information among the search histories includes an input count of a registered search term of an advertisement and the second information includes an input elapsed time of the registered search term. 3. The method of claim 2,
Wherein the first information among the search histories further includes an input count of a search word similar to a registered search word of the advertisement, and the second information further includes an input elapsed time of the similar search word. The method according to claim 1,
Wherein the first information includes at least one of a click of a search advertisement, a click of a shopping product advertisement, and a click of a search result, and the second information includes at least one of purchase of a shopping product, A method of targeting advertising, comprising: The method according to claim 1,
The step of calculating the relevance per advertisement of the targeting advertisement list includes:
Wherein the relevancy of each advertisement of the targeted advertisement list is calculated using the search history of the user terminal and the behavior history of the search result per a predetermined unit time. The method according to claim 1,
The step of calculating the relevance per advertisement of the targeting advertisement list includes:
And calculates a degree of association for each advertisement of the targeted advertisement list with respect to the user terminal in real time when receiving the advertisement request from the user terminal. The method according to claim 1,
The step of calculating the relevance per advertisement of the targeting advertisement list includes:
Wherein the relevancy-per-advertisement of the targeting advertisement list is periodically calculated for all advertisement target user terminals. The method according to claim 1,
Wherein the generating the effective targeting advertisement list comprises:
Determining an advertisement of the targeting advertisement list whose association degree is greater than a reference association degree;
And generating the effective targeting advertisement list including the advertisement whose association degree is larger than the reference association degree. The method according to claim 1,
Wherein the step of determining an advertisement to be executed in response to the advertisement request comprises:
And determines an advertisement to be executed in response to the advertisement request among the effective advertisement list and the advertisement list. A targeted advertisement list storing unit for storing a targeted advertisement list;
Calculating a degree of association for each advertisement in the targeting advertisement list using a search history of the user terminal and an action history for the search result, and transmitting the advertisement to the user terminal among the targeting advertisement lists based on the degree of association An effective targeting advertisement list generating unit for generating an effective targeting advertisement list for the target advertisement; And
And an advertisement executor configured to determine an advertisement to be executed in response to an advertisement request received from the user terminal and to execute an advertisement in the user terminal according to the determination result,
Wherein the effective targeting advertisement list generation unit calculates the association degree by using first information among the search history and the behavior history of the search result as an addition element and using the second information as a subtraction element. 11. The method of claim 10,
Wherein the first information among the search histories includes an input count of a registered search term of the advertisement and the second information includes an input elapsed time of the registered search term. 12. The method of claim 11,
Wherein the first information among the search histories further includes a number of times of inputting a search word similar to a registered search word of the advertisement, and the second information further includes an input elapsed time of the similar search word. 11. The method of claim 10,
Wherein the first information includes at least one of a click of a search advertisement, a click of a shopping product advertisement, and a click of a search result, and the second information includes at least one of purchase of a shopping product, Includes a targeting advertising system. 11. The method of claim 10,
The effective targeting advertisement list generation unit may include:
Wherein the relevancy calculating unit calculates the relevance of the target advertisement list by using the search history of the user terminal and the behavior history of the search result per a predetermined unit time. 11. The method of claim 10,
The effective targeting advertisement list generation unit may include:
And calculates a degree of association of each advertisement of the targeting advertisement list with respect to the user terminal in real time when receiving an advertisement request from the user terminal. 11. The method of claim 10,
The effective targeting advertisement list generation unit may include:
And periodically calculates a degree of association for each advertisement of the targeted advertisement list with respect to all advertisement target user terminals. 11. The method of claim 10,
The effective targeting advertisement list generation unit may include:
Wherein the advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement advertisement 11. The method of claim 10,
The advertisement execution unit,
And determines an advertisement to be executed in response to the advertisement request among the list of the effective targeting advertisement and the advertisement list.

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