KR102375770B1 - Electronic device for analysis for information of influencer and method for operating thereof - Google Patents

Abstract

According to one embodiment, there is provided a method of operating a server, the method comprising: receiving information about a specific influencer to be analyzed from a client server; Including; identifying information on a channel operated by the specific influencer, wherein the channel is at least one page of a portal site provided by a portal server operated by the specific influencer or the specific influencer includes at least one page of an SNS channel provided by a social network service (SNS) server operated by generating at least one code for collecting and transmitting a request for inserting the generated at least one code to the portal server or the SNS server; The page view collected by itself in the portal server or the SNS server together with at least one of the information on the inflow path or the behavior information collected from the portal server or the SNS server based on the at least one code receiving information about; and visually providing information on the received information on the inflow path, at least one of the behavior information, and the page view. Various other embodiments are possible.

Description

Electronic device for analyzing information about an influencer and an operating method thereof

The present application relates to an electronic device for analyzing information about an influencer and an operating room thereof.

In recent years, the demand for marketing through influencers is increasing. An influencer is an influential individual.

The emergence of marketing through influencers has greatly expanded the influence of social media with the development of the Internet, so that the content produced by ordinary people through social media has a similar or greater influence to the TV advertisement posted by the brand. is due to having

Therefore, as the demand for marketing through influencers increases, in order to operate influencer marketing more efficiently, technology for continuously monitoring influencers and analyzing information about influencers is required. am.

Korean Patent Publication No. 10-2020-0017443 (2020.02.18.) Japanese Unexamined Patent Publication No. 2009-536760 (2009.10.15.) Korean Patent Publication No. 10-2020-0142489 (2020.12.22.) Korean Patent Publication No. 10-2020-0096110 (2020.08.11.)

According to an embodiment of the present application, one task is based on an algorithm for collecting information about a specific person (eg, an influencer), by collecting, analyzing, visualizing, and providing information about a specific person to facilitate An object of the present invention is to provide an electronic device capable of confirming information on a specific person and an operating method thereof.

According to an embodiment of the present application, another task is to calculate the economic effect of a specific person in a specific industry by providing an expected economic effect of marketing in a specific industry for a specific person by using big data accumulated in the server It is an object of the present invention to provide an electronic device and an operating method for reducing the operational burden for the purpose of performing the operation and improving the accuracy of calculation of economic effects.

According to an embodiment of the present application, another object is to provide an electronic device and operation method that provide effective analysis data for more marketing by providing a solution recommended for marketing using a specific person based on an artificial intelligence model is in doing

The problem to be solved by the present application is not limited to the above-mentioned problems, and the problems not mentioned will be clearly understood by those of ordinary skill in the art to which the present application belongs from the present specification and the accompanying drawings. .

According to one embodiment, there is provided a method of operating a server, the method comprising: receiving information about a specific influencer to be analyzed from a client server; Including; identifying information on a channel operated by the specific influencer, wherein the channel is at least one page of a portal site provided by a portal server operated by the specific influencer or the specific influencer includes at least one page of an SNS channel provided by a social network service (SNS) server operated by generating at least one code for collecting and transmitting a request for inserting the generated at least one code to the portal server or the SNS server; The page view collected by itself in the portal server or the SNS server together with at least one of the information on the inflow path or the behavior information collected from the portal server or the SNS server based on the at least one code receiving information about; and visually providing information on the received information on the inflow path, at least one of the behavior information, and the page view.

According to one embodiment, there is provided a server comprising: a database; communication circuit; and at least one processor, wherein the at least one processor: receives information on a specific influencer to be analyzed from a client server, identifies information on a channel operated by the specific influencer, and The channel includes at least one page of a portal site provided by a portal server operated by the specific influencer or at least one page of an SNS channel provided by a social network service (SNS) server operated by the specific influencer and generate at least one code for collecting at least one of information on an inflow path or behavior information of users accessing a channel operated by the specific influencer, wherein the code is at least one and a tracking code implemented to be inserted into a header part of a page or at least one page of the SNS channel, and transmits a request for inserting the generated at least one code to the portal server or the SNS server, From the portal server or the SNS server, together with at least one of the information on the inflow path or the behavior information collected based on the at least one code, in the page view collected by the portal server or the SNS server itself A server may be provided, configured to receive information about the inflow path, and visualize and provide information on the page view and at least one of the received information on the inflow path or the behavior information.

Solutions of the problems are not limited to the above-described solutions, and solutions not mentioned will be clearly understood by those of ordinary skill in the art to which the present application belongs from the present specification and the accompanying drawings. .

According to an embodiment of the present application, an electronic device and an operating method thereof collect, analyze, and visualize information on a specific person based on an algorithm for collecting information on a specific person (eg, an influencer) and provide it By doing so, it is possible to easily confirm information about a specific person.

According to an embodiment of the present application, by providing an economic effect expectation of marketing in a specific industry for a specific person by using big data accumulated in an electronic device and an operating method server thereof, the economic effect of a specific person in a specific industry is provided It is possible to reduce the operational burden for calculating the effect and improve the accuracy of the calculation of the economic effect.

According to an embodiment of the present application, an electronic device and an operating method thereof may provide effective analysis data for more marketing by providing a solution recommended for marketing using a specific person based on an artificial intelligence model.

According to an embodiment of the present application, an electronic device and an operating method thereof accumulate commercial zone information on brands for various types of industries, and provide a visualized interface that is easy for new founders to use based on the accumulated commercial zone information. By providing it, it is possible to facilitate the analysis of the business district information of the founder.

According to an embodiment of the present application, an electronic device and an operating method thereof provide additional services (eg, a real estate relay service, a loan relay service) so that a new founder can easily start a business.

According to an embodiment of the present application, an electronic device and an operating method thereof update an interface provided to a new founder according to the input of the new founder based on a machine learning model generated based on accumulated commercial information and use the interface Convenience can be improved.

According to various embodiments, the effects are not limited to the above-described effects, and the effects not mentioned will be clearly understood by those of ordinary skill in the art to which the present application belongs from the present specification and the accompanying drawings. .

1 is a diagram for explaining an example of devices included in a smart information analysis system according to an embodiment of the present application.
2 is a block diagram illustrating an example of the configuration of a management server, a client server, and a portal server according to an embodiment of the present application.
3 is a block diagram illustrating an example of the configuration of an electronic device according to an embodiment of the present application.
4 is a flowchart for explaining an example of the operation of the smart information analysis system according to an embodiment of the present application.
5 is a diagram for explaining an example of an operation of collecting information on a specific person (eg, an influencer) of the management server according to an embodiment of the present application.
6 is a diagram for explaining user behavior information in a channel of a specific person (eg, an influencer) collected by the management server according to an embodiment of the present application.
7 is a diagram for explaining an example of an operation of providing visualized information of a management server according to an embodiment of the present application.
8 is a flowchart for explaining another example of the operation of the smart information analysis system according to an embodiment of the present application.
9 is a view for explaining an example of the operation of the management server according to an embodiment of the present application to generate an artificial intelligence model for analyzing information on the economic effect.
FIG. 10 is a diagram for explaining an example of an operation in which the management server according to an embodiment of the present application calculates an economic effect using an artificial intelligence model and provides information on the calculated economic effect to the client server.
11 is a flowchart for explaining another example of the operation of the smart information analysis system according to an embodiment of the present application.
12 is a diagram for explaining an example of an operation of providing a solution for a specific influencer using an artificial intelligence model of a management server according to an embodiment of the present application.

According to one embodiment, there is provided a method of operating a server, the method comprising: receiving information about a specific influencer to be analyzed from a client server; Including; identifying information on a channel operated by the specific influencer, wherein the channel is at least one page of a portal site provided by a portal server operated by the specific influencer or the specific influencer includes at least one page of an SNS channel provided by a social network service (SNS) server operated by generating at least one code for collecting and transmitting a request for inserting the generated at least one code to the portal server or the SNS server; The page view collected by itself in the portal server or the SNS server together with at least one of the information on the inflow path or the behavior information collected from the portal server or the SNS server based on the at least one code receiving information about; and visually providing information on the received information on the inflow path, at least one of the behavior information, and the page view.

According to an embodiment, receiving information on a specific industry to be analyzed from the client server; Among a plurality of first pages of a portal site provided by the specific influencer from the portal server or a plurality of second pages of the SNS channel provided by the SNS server operated by the specific influencer, the specific influencer identifying at least one page corresponding to the industry; and generating the at least one code to be inserted into the identified at least one page.

According to an embodiment, extracting the content included in the plurality of first pages or the plurality of second pages; By identifying the industry corresponding to the extracted content from among a plurality of industries, identifying the industry for each of the plurality of first pages or the plurality of second pages; and the plurality of first pages or the plurality of second pages corresponding to the specific industry type from among the plurality of first pages or the plurality of second pages, based on identification of the industry type for each of the plurality of first pages or the plurality of second pages. A method of operation, including; identifying a page; may be provided.

According to an embodiment, generating an artificial intelligence model by using, as training data, a plurality of pieces of information on a plurality of influencers stored in the server and information on industries corresponding to each of the plurality of influencers as training data. , wherein the artificial intelligence model is set to output a weight for each of the plurality of industries in response to receiving the plurality of pieces of information about the first influencer, and the plurality of pieces of information is the inflow path Receives the plurality of pieces of information about the specific influencer from the portal server or the SNS server, including information on the information, the behavior information, the exposure location information, and the activity period, and the specific influencer in response to inputting the plurality of pieces of information on the artificial intelligence model, identifying a weight for each of the plurality of industries to be output; and identifying a first weight corresponding to the specific industry from among the plurality of weights for each industry, and providing information on the economic effect of the specific influencer calculated based on the identified weight on the specific industry. An operation method including ; may be provided.

According to one embodiment, based on the content included in the page of the portal server or SNS server operated by the plurality of influencers, identifying information on the industry for each of the plurality of influencers; includes; A method of operation may be provided.

According to an embodiment, among the plurality of pieces of information on the plurality of first influencers stored in the server, the economic effect for each of the plurality of industries is included in a specified ratio for the plurality of influencers. Including; selecting the plurality of pieces of information may be provided.

According to one embodiment, based on multiplying the identified weight by the economic effect on the plurality of influencers, calculating information on the economic effect of the specific influencer for the specific industry; A method of operation may be provided, comprising:

According to an embodiment, when the identified weight is less than a threshold, modifying a specific type of information among the plurality of information about the specific influencer; and when the first weight output based on re-inputting the plurality of pieces of information in which the specific type of information is modified into the artificial intelligence model is equal to or greater than the threshold value, the specific inflation rate based on the modified specific type of information Further comprising; providing a marketing solution for the Luenser; operation method may be provided.

According to an embodiment, there may be provided an operation method in which the specific type of information to be modified is determined according to a priority among the plurality of information, and the priority is set in proportion to an influence on an economic effect. .

According to one embodiment, there is provided a server comprising: a database; communication circuit; and at least one processor, wherein the at least one processor: receives information on a specific influencer to be analyzed from a client server, identifies information on a channel operated by the specific influencer, and The channel includes at least one page of a portal site provided by a portal server operated by the specific influencer or at least one page of an SNS channel provided by a social network service (SNS) server operated by the specific influencer and generate at least one code for collecting at least one of information on an inflow path or behavior information of users accessing a channel operated by the specific influencer, wherein the code is at least one and a tracking code implemented to be inserted into a header part of a page or at least one page of the SNS channel, and transmits a request for inserting the generated at least one code to the portal server or the SNS server, From the portal server or the SNS server, together with at least one of the information on the inflow path or the behavior information collected based on the at least one code, in the page view collected by the portal server or the SNS server itself A server may be provided, configured to receive information about the inflow path, and visualize and provide information on the page view and at least one of the received information on the inflow path or the behavior information.

According to various embodiments to those of ordinary skill in the art to which the present application belongs, the embodiments described in this specification are for clearly explaining the idea, so that the present application is limited by the embodiments described in this specification No, according to various embodiments, the range should be construed to include modifications or variations without departing from the spirit according to various embodiments.

The terms used in this specification have been selected as widely used general terms as possible in consideration of the functions in the present application, but they may vary depending on the intention, custom, or emergence of new technology of those of ordinary skill in the art to which this application belongs. can However, if a specific term is defined and used in an arbitrary sense, the meaning of the term will be separately described. Therefore, the terms used in this specification should be interpreted based on the actual meaning of the terms and the contents of the entire specification, rather than the names of simple terms.

The drawings attached to this specification are for easy explanation of the present application, and according to various embodiments, the shapes shown in the drawings may be exaggerated as needed to help understanding, so that the present application is limited by the drawings. it is not

In the present specification, when it is determined that a detailed description of a known configuration or function related to the present application may obscure the subject matter according to various embodiments, a detailed description thereof will be omitted if necessary.

The various embodiments of this document and terms used therein are not intended to limit the technical features described in this document to specific embodiments, but it should be understood to include various modifications, equivalents, or substitutions of the embodiments. In connection with the description of the drawings, like reference numerals may be used for similar or related components. The singular form of the noun corresponding to the item may include one or more of the item, unless the relevant context clearly dictates otherwise. In this document, "A or B", "at least one of A and B", "at least one of A or B," "A, B or C," "at least one of A, B and C," and "A , B, or C" each may include any one of the items listed together in the corresponding one of the phrases, or all possible combinations thereof. Terms such as "first", "second", or "first" or "second" may be used simply to distinguish the element from other elements in question, and may refer to elements in other aspects (e.g., importance or order) is not limited. It is said that one (eg, first) component is "coupled" or "connected" to another (eg, second) component, with or without the terms "functionally" or "communicatively". When referenced, it means that one component can be connected to the other component directly (eg by wire), wirelessly, or through a third component.

As used herein, the term “module” may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as, for example, logic, logic block, component, or circuit. A module may be an integrally formed part or a minimum unit or a part of the part that performs one or more functions. For example, according to an embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

According to various embodiments of the present document, one or more instructions stored in a storage medium (eg, internal memory 136 or external memory 138) readable by a machine (eg, electronic device 101) may be implemented as software (eg, the program 140) including For example, a processor (eg, processor 120 ) of a device (eg, electronic device 101 ) may call at least one command among one or more commands stored from a storage medium and execute it. This makes it possible for the device to be operated to perform at least one function according to the called at least one command. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium 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 a signal (eg, electromagnetic wave), and this term is used in cases where data is semi-permanently stored in the storage medium and It does not distinguish between temporary storage cases.

According to one embodiment, the method according to various embodiments disclosed in this document may be provided as included in a computer program product. Computer program products may be traded between sellers and buyers as commodities. The computer program product is distributed in the form of a device-readable storage medium (eg compact disc read only memory (CD-ROM)), or through an application store (eg Play Store™) or on two user devices (eg, It can be distributed (eg downloaded or uploaded) directly or online between smartphones (eg: smartphones). In the case of online distribution, at least a part of the computer program product may be temporarily stored or temporarily created in a machine-readable storage medium such as a memory of a server of a manufacturer, a server of an application store, or a relay server.

According to various embodiments, each component (eg, a module or a program) of the above-described components may include a singular or a plurality of entities. According to various embodiments, one or more components or operations among the above-described corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg, a module or a program) may be integrated into one component. In this case, the integrated component may perform one or more functions of each component of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. . According to various embodiments, operations performed by a module, program, or other component are executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations are executed in a different order, or omitted. or one or more other operations may be added.

1. Smart influencer analysis system

Hereinafter, a smart information analysis system according to an embodiment of the present application will be described.

In the present specification, the smart information analysis system collects various types of information about a specific person according to the request of a client (eg, an advertiser or an advertiser's agency), and analyzes the collected information to provide visualized analysis information. can be defined as For example, the specific person may include an influencer. The influencer may mean a person who has a large influence on society. In recent years, as it is becoming more common to perform marketing through social media based on the influence of influencers, monitoring and managing influencers for marketing is becoming more important. On the other hand, as described above, the specific person may include various persons for whom the client requests analysis in addition to the influencer. The smart information analysis system uses codes and/or links to collect various types of information of a specific person for marketing (eg, a specific person operates on a portal server or social network system (SNS)). Pages), and various types of information collected through the implemented code and/or links (eg, the number of page views (or content views), the funnel path of the user, the behavior of the user) Information and/or an exposure position of a page (or content) of a specific person during a search) may be analyzed.

Hereinafter, the smart information analysis system will be described in more detail.

2. Configuration of smart information analysis system

1 is a diagram for explaining an example of devices included in a smart information analysis system according to an embodiment of the present application.

Referring to FIG. 1 , the smart information analysis system may include a management server 110 , a client server 120 , a portal server 130 , and an electronic device 140 . However, the present invention is not limited to that shown in FIG. 1 and the smart information analysis system may be implemented to include fewer or more devices than the illustrated devices.

According to an embodiment of the present application, the management server 110 collects various types of information about a specific person (eg, an influencer), analyzes the collected various types of information, and Analyzed information can be provided. For example, the management server 110 receives an analysis request for a specific person (eg, an influencer) from the client server 120 to be described later, and based on the received analysis request, the specific person performs various marketing activities. Various types of information about a specific person through media (eg, portal server) The exposure position of the person's page (or content) may be collected. Also, for example, the management server 110 may configure and provide an interface including various types of information analyzed by visualization of various types of collected information. Operations of the management server 110 will be described later.

According to an embodiment of the present application, the client server 120 (client server) is a server operated by a client (client server) that requests analysis of a specific person (eg, an influencer) to the management server 110 . can The client may include an advertiser or an advertiser's agent who wants to perform marketing using a specific person (eg, an influencer). The client server 120 may store a list of persons selected for marketing by an advertiser or an agent, and may request analysis of at least one person from the list to the management server 110 .

According to an embodiment of the present application, the portal server 130 may be a server operating a portal site that allows various users to upload, access, and use posts. The portal server 130 may provide an interface for using the portal site to the electronic device 140 connected to the portal server. For example, a specific user (eg, an influencer) accesses the portal server 130 using the electronic device 140 of the specific user, and performs marketing through a portal site provided by the portal server 130 . You can upload a post for In this case, the portal server 130 may provide functions for writing posts. Other users (eg, consumers) access the portal server 130 using their electronic device 140 and a specific user (eg, an influencer) uploads a post uploaded to the portal site. You can access and experience one post. In this case, the portal server 130 may provide a function so that other users (eg, customers) can leave comments and/or likes on the uploaded post. However, it is not limited to the description and/or illustrated, and in addition to the portal server 130 , various types of servers through which a specific person (eg, an influencer) can perform marketing may be included. For example, the various types of servers may include a social network system (SNS) server.

According to an embodiment of the present application, the electronic device 140 is capable of communicating with the portal server 130 and can be used by users (eg, an influencer or a consumer 142 (customer)). It may include any kind of electronic device. The electronic device may include personal terminals (eg, a smart phone, etc.), electronic devices (eg, a PC, etc.) provided at a fixed location, and a portable personal laptop computer. For example, users may access the portal server 130 using the electronic device 140 , upload a post through the interface, and access and view the uploaded post.

On the other hand, it is not limited to the devices included in the smart information analysis system shown in FIG. 1, and the advertisement system may be implemented to include more devices or fewer devices.

2.1. An example of configurations of the management server 110 , the client server 120 , and the portal server 130 .

Hereinafter, an example of the components for performing the operations of the components included in the smart information analysis system will be described. Meanwhile, since the smart information analysis system may be implemented as a system type or an on-device type depending on the implementation purpose, this will be described later in "2.2 Table of Contents".

2.1.2 An example of the configuration of the management server 110 , the client server 120 , and the portal server 130 .

First, an example of the configuration of the management server 110 , the client server 120 , and the portal server 130 will be described.

2 is a block diagram illustrating an example of the configuration of the management server 110 , the client server 120 , and the portal server 130 according to an embodiment of the present application. Meanwhile, without being limited to the one shown in FIG. 2 , the management server 110 , the client server 120 , and the portal server 130 may include fewer or more configurations than the illustrated configurations.

First, the configuration of the management server 110 will be described below.

Referring to FIG. 2 , according to an embodiment, the management server 110 includes a first control circuit 112 including a first communication circuit 111 , an information acquisition module 113 , and an information visualization module 115 , and a first database 116 .

The first communication circuit 110 may communicate with an external device (eg, the client server 120 and the portal server 130 ). For example, the first communication circuit 110 is connected to a network through wireless communication or wired communication to establish communication with an external device (eg, the client server 120 and the focal server 130 ), and through the established communication information and/or data may be exchanged. The wireless communication is, for example, LTE, LTE Advance (LTE-A), CDMA (code division multiple access), WCDMA (wideband CDMA), UMTS (universal mobile telecommunications system), WiBro (Wireless Broadband), or GSM ( Global System for Mobile Communications) and the like may include cellular communication using at least one. According to one embodiment, wireless communication is, for example, wireless fidelity (WiFi), Bluetooth, Bluetooth low energy (BLE), Zigbee (Zigbee), near field communication (NFC), magnetic secure transmission (Magnetic Secure Transmission), radio It may include at least one of a frequency (RF) or a body area network (BAN). According to one embodiment, the wireless communication may include GNSS. The GNSS may be, for example, a Global Positioning System (GPS), a Global Navigation Satellite System (Glonass), a Beidou Navigation Satellite System (hereinafter, “Beidou”) or Galileo, the European global satellite-based navigation system. Hereinafter, in this document, "GPS" may be used interchangeably with "GNSS". Wired communication may include, for example, at least one of universal serial bus (USB), high definition multimedia interface (HDMI), recommended standard232 (RS-232), power line communication, or plain old telephone service (POTS). there is. The network 162 may include at least one of a telecommunication network, for example, a computer network (eg, LAN or WAN), the Internet, or a telephone network.

The first control circuit 112 may control the overall operation of the management server 110 . To this end, the first control circuit 112 may perform calculation and processing of various types of information and may control the operation of components (eg, the first communication circuit 111 ) of the management server 110 . The first control circuit 112 may be implemented in a computer or similar device according to hardware, software, or a combination thereof. In terms of hardware, the first control circuit 112 may be provided in the form of an electronic circuit (eg, CPU, etc.) that processes electrical signals to perform a control function, and in terms of software, the first control circuit 112 in hardware 112) may be provided in the form of a program for driving. The modules (eg, the information acquisition module 113 , the information analysis module 114 , the interface providing module 115 , etc.) included in the first control circuit 112 of the management server 110 described below include the first 1 may control the control circuit 112 to perform an operation associated with the module. In other words, the modules are implemented with a program, computer readable code, process or instructions for controlling to perform an operation associated with the module, wherein the modules are executed by the first control circuit 112 . In this case, it is possible to control the first control circuit 112 to perform an operation related to the module. Meanwhile, in the following description, unless otherwise specified, the operation of the electronic device 100 may be interpreted as being performed under the control of the first control circuit 112 .

The first control circuit 112 includes an information acquisition module 113, and the information acquisition module 113 is a medium (eg, portal server 130) in which a specific person (eg, influencer) performs marketing. Various types of information can be collected from For example, the various types of information may include information that can be analyzed by the portal server 130 itself and information that can be collected using codes and/or links generated by the management server 110 . For example, the information that can be analyzed in the portal server 130 itself includes the number of page views (or the number of content views) indicating the number of times other users accessed a post written by a specific person (eg, an influencer); This may include, but is not limited to, the number of likes that other users have placed on the post, and the number of comments other users have left on the post. As another example, information that can be collected by using the code and/or link generated by the management server 110 is the user's inflow path, the user's specific person's activity within the channel (eg, the pages viewed by the user). information) and/or an exposure position of a page (or content) of a specific person during a search, but is not limited thereto. The information acquisition module 113 may generate a code that can be inserted into a medium used by a specific person so that specific information can be collected, which will be described later.

The first control circuit 112 may include an information visualization module 115 , and the information visualization module 115 may visualize and provide various types of information collected using the information acquisition module 113 . Information visualized using the information visualization module 115 will be described in detail later.

The database 116 may store various types of information (eg, map data and commercial area information big data, etc.). The database 116 may store data temporarily or semi-permanently. For example, in the database 116 of the management server 110 , an operating program (OS) for driving the management server 110, data or programs or applications (eg, web application) may be stored. Examples of the database 125 include a hard disk (HDD), a solid state drive (SSD), a flash memory, a read-only memory (ROM), and a random access memory (RAM). etc. may exist. Such a database may be provided in a built-in type or a detachable type.

Hereinafter, an example of the configuration of the portal server 130 and the client server 120 will be described.

Referring to FIG. 2 , the portal server 130 (eg, first, ?? , to Nth portal server) includes a second communication circuit 131 , a second control circuit 132 , and a second database 133 . ) may be included. Although not shown, the configuration of the client server 120 (eg, the first, ?? , to the Nth client server) may also be implemented as the configuration of the portal server 130 , and thus a redundant description will be omitted.

The second communication circuit 131 , the second control circuit 132 , and the second database 133 included in the portal server 130 and the client server 120 , the first database 133 included in the management server 110 . Since it may be implemented as the communication circuit 111 , the first control circuit 112 , and the first database 116 , a redundant description will be omitted.

Meanwhile, the client server 120 may store information on a list of various persons performing marketing in the second database 120 .

2.1.2 Example of configuration of electronic device

Hereinafter, an example of the configuration of the electronic device 140 will be described.

3 is a block diagram illustrating an example of the configuration of the electronic device 140 according to an embodiment of the present application. Meanwhile, without being limited to that shown in FIG. 3 , the electronic device 140 may include fewer or more components than the illustrated components.

First, configurations of the electronic device 140 will be described below.

Referring to FIG. 3 , according to an embodiment, the electronic device 140 may include a third communication circuit 141 , a third control circuit 142 , an input device 143 , and a display 144 .

The third communication circuit 141 may communicate with an external device (eg, the management server 110 ). For example, the first communication circuit 110 is connected to a network through wireless communication or wired communication to establish communication with an external device (eg, the management server 110), and information and/or 1 data can be exchanged. Since the third communication circuit 141 may be implemented as the first communication circuit 111 of the management server 110 described above, a redundant description will be omitted.

The third control circuit 142 may control the overall operation of the electronic device 140 . To this end, the third control circuit 140 may perform calculation and processing of various types of information and may control operations of components (eg, the third communication circuit 141 ) of the electronic device 140 . Since the third control circuit 142 may be implemented as the first control circuit 112 of the management server 110 described above, a redundant description will be omitted.

The input device 130 may receive information from a user (eg, receive an input for writing a post on the portal site of the portal server 130 ). The input device 130 may be various interfaces or connection ports that receive a user input or output information to the user. The input device 130 may be divided into an input module and an output module, and the input module receives a user input from a user. The user input may be made in various forms including a key input, a touch input, and a voice input. Examples of input modules that can receive such user input include a traditional keypad, keyboard, and mouse, as well as a touch sensor that detects a user's touch, a microphone that receives a voice signal, a camera that recognizes gestures through image recognition, A proximity sensor composed of an illuminance sensor or infrared sensor that detects a user's approach, a motion sensor that recognizes a user's motion through an acceleration sensor or a gyro sensor, and other various types of input means for sensing or receiving various types of user input It is a comprehensive concept that includes all Here, the touch sensor may be implemented as a piezoelectric or capacitive touch sensor for detecting a touch through a touch panel or a touch film attached to the display panel, an optical touch sensor for detecting a touch by an optical method, and the like. In this case, the input device 130 may be implemented in the display 140 to be described later to receive a user's touch input. In other words, the display 140 may include a touch screen as the input device 130 , and may receive, for example, a touch, gesture, proximity, or hovering input using an electronic pen or a part of the user's body. can In addition, the input device 130 may be implemented in the form of an input interface (USB port, PS/2 port, etc.) for connecting an external input device that receives a user input instead of a device that detects a user input by itself.

The display 140 may include a liquid crystal display (LCD), a light emitting diode (LED) display, an organic light emitting diode (OLED) display, or a microelectromechanical system (MEMS) display, or an electronic paper display. . The display 140 may display an interface that visually configures commercial area information.

2.3. Implementation example of smart information analysis system

The smart information analysis system may be implemented as a system type or an on-device type as described above.

According to an embodiment, as described above, the operation of collecting, analyzing, and visualizing information about a specific person (eg, an influencer) is performed in the management server 110, and the visualized information according to the operations is transmitted to the client. When implemented to be provided to the server 120, the smart information analysis system may be defined as a system type.

According to another embodiment, when the above-described components are implemented in one physical device, the smart information analysis system may be defined as an on-device type. For example, configurations of the management server 110 may be implemented in the client server 120 , and in this case, the smart information analysis system may be defined as an on-device type. In this case, the client server 120 receives and installs a program including the information acquisition module 113 and the information visualization module 115 , and is connected to the portal server 130 by itself based on the execution of the program to a specific person You can perform an action to collect information about (eg, influencers) and visualize the collected information.

Also, without being limited thereto, the smart information analysis system may be implemented as a hybrid type in which a system type and an on-device type are combined as shown. For example, at least one configuration (eg, the information visualization module 115) of the management server 110 is implemented in the electronic device 100, but other configurations (eg, the information acquisition module 113 and the first database 116) )) is implemented in the management server 110 may be defined as a hybrid type.

3. Operation of smart information analysis system

Hereinafter, various examples of operations of devices constituting the smart information analysis system (eg, the management server 110 , the client server 120 , the portal server 130 , and the electronic device 140 ) will be described.

3.1. 1st Embodiment <Information collection, analysis, and visualization operation for a specific person (eg, influencer)>

According to an embodiment, the management server 110 provides various types of information for analysis of a specific person (eg, an influencer) requested from the client server 120 (eg, the number of page views (or, content views), the user's funnel, user behavior information, and/or the placement of a specific person's page (or content) when searching), and various It is possible to provide visualization by analyzing types of information.

4 is a flowchart for explaining an example of the operation of the smart information analysis system according to an embodiment of the present application. According to various embodiments, the operation of the smart information analysis system is not limited to the order of the operations illustrated in FIG. 4 , and may be performed in an order different from the illustrated order. In addition, according to various embodiments, more operations than the operation of the smart information analysis system shown in FIG. 4 or at least one less operation may be performed. Hereinafter, FIG. 5 will be described with reference to FIGS. 5 to 7 .

5 is a diagram for explaining an example of an operation of collecting information on a specific person (eg, an influencer) of the management server 120 according to an embodiment of the present application. 6 is a diagram for explaining user behavior information in a channel of a specific person (eg, an influencer) collected by the management server 120 according to an embodiment of the present application. 7 is a diagram for explaining an example of an operation of providing visualized information of the management server 120 according to an embodiment of the present application.

According to an embodiment, the client server 120 may manage the list of influencers in operation 401 , and may request the management server 110 to analyze a specific influencer from the list of influencers in operation 402 . . For example, the client server 501 is a server managed by an advertiser or agency for performing marketing, and may store a list of a plurality of persons managed by the advertiser or agency. As illustrated in 501 of FIG. 5 , the client server 501 may transmit a request for analyzing a specific influencer among a plurality of persons to the management server 110 . However, not limited to the description and/or illustrated, the client server 120 may request the management server 110 to analyze a plurality of persons instead of one.

According to one embodiment, when the client server 120 requests an analysis of the influencer, the management server ( 110) can be sent. For example, an advertiser or agency may wish to conduct marketing for a specific industry. Accordingly, an advertiser or an agency may want to analyze whether a specific influencer has an economic effect in a specific industry. In this case, the client server 120 may transmit, together with the information on the industry desired to perform marketing, to the management server 110 when the influencer requests analysis.

According to an embodiment, the management server 110 may identify various types of marketing channels associated with a specific influencer in operation 403 . For example, based on receiving the request for analysis of the specific influencer, the management server 110 identifies basic information of the specific influencer as shown in 502 of FIG. 5 and communicates with the specific influencer. An associated channel may be identified. For example, the basic information of the specific influencer includes personal information (eg, name, age, address, etc.) of the specific influencer, the period of opening a channel for marketing of the specific influencer, and the It can include basic information such as the number of fans (eg, the number of followers on SNS, or the number of fans if there is a fan cafe). The management server 110 may receive the basic information from the client server 120 , but may also collect basic information from the web or social network system (SNS) using a crawling function. After the management server 110 identifies basic information about the specific influencer, the specific influencer may identify information on all channels used for marketing. The channels include blogs, cafes, video channels (eg, YouTube channels) of a portal site provided by the portal servers 130 , and various types of social network service (SNS) channels provided by the SNS servers 530 . can do. Meanwhile, a detailed description of examples of portal sites operated by the portal servers 130 in Korea and abroad and SNS channels operated by the SNS servers 530 will be omitted.

According to one embodiment, the management server 110 generates a code or link that can be inserted into the identified channel for collection of various types of information in operation 404, and opens the code or link for collection of information in operation 405 to the portal. It may make a request to the servers 130 and receive various types of information in operation 406 . In an embodiment, the management server 110 may receive information that can be analyzed in the portal server 130 or the SNS server 530 itself from each server (eg, the portal server 130 or the SNS server 530). there is. For example, the above information includes the number of page views (or content views) indicating the number of times other users accessed a post written by a specific person (eg, an influencer), and the likes set by other users on the post. number, and may include, but is not limited to, the number of comments left on posts by other users. In another embodiment, the management server 110 may collect various types of information related to the channel used by the influencer based on the link and/or the code. For example, as shown in 502 of FIG. 5 , the management server 110 may generate a code and/or a link for collecting behavioral information in an inflow path and in a channel. For example, the link and/or code may include a tracking code. The tracking code is generated in a language (eg, HTML, CSS, JavaScript) for the implementation of a page of a website or a page of an SNS channel, and is inserted in the header area in the page to identify the funnel path to a specified page in the channel, or , or may be executed when a user accesses a page in order to collect information (eg, behavioral information) on pages used by users accessing the channel within the channel. As shown in 503 of FIG. 5, the management server 110 uses codes (eg, tracking codes) generated by a channel (eg, a specific portal server 130 or a specific SNS server 530) used by a specific influencer. ) to be inserted into the header area within the page. Accordingly, the channel used by the specific influencer (eg, the specific portal server 130 or the specific SNS server 530) inserts tracking codes into the pages operated by the specific influencer, as shown in FIG. As shown, when a user accesses pages operated by a specific influencer, information on the user's inflow path or behavioral information can be collected. For example, the information on the inflow path may include, referring to 601 to 602 of FIG. 6 , a site (eg, A portal) used to access a page and a search term (or keyword) (eg, A product). can Also, for example, the behavior information is, referring to 602 to 603 of FIG. 6 , information about the history of using a page while the user is accessing a channel of a specific influencer (eg, for product A shown in 602) from the page to the page for product B shown at 603). A channel (eg, a specific portal server 130 or a specific SNS server 530) used by the specific influencer collects the information based on the inserted tracking code, and as shown in 701 of FIG. 7, the management server It can be passed to (110). On the other hand, the information that can be collected using the link and/or code without being limited to the description and/or shown is the exposure position of the page (or content) of a specific influencer within the portal (eg, A portal) when searching It can include information about (eg, the bottom), and a code to collect it can also be generated.

According to an embodiment, the management server 110 may insert a code into only at least some pages of a plurality of pages of a channel operated by a specific influencer based on information on a specific industry to be analyzed. For example, the management server 110 may extract content (eg, image or text) included in each of the plurality of pages, and analyze the extracted content to identify a business type corresponding to the page. As an example, the management server 110 may determine the industry corresponding to the page by extracting a keyword from the texts of the page and identifying the industry corresponding to the extracted keyword. The management server 110 selects a page corresponding to the specific industry to be analyzed from among a plurality of pages, based on the industry determined for each of the plurality of pages, and requests the portal server 130 to insert the code only in the selected page. there is. Accordingly, since information is collected and analyzed only for a specific industry, the process for analysis can be reduced.

According to an embodiment, the management server 110 may perform information analysis, visualization, and provision operations in operation 407 . For example, the management server 110 may provide the collected information to the client server 120 as shown in 702 of FIG. 7 by processing the collected information into a visualizeable form, and finally visualizing the processed information. Referring to 702 of FIG. 7 , the number of page views may be provided in the form of a line or bar graph, and the time unit may be variously set to seconds, minutes, days, weeks, months, and years. Also, although not shown, information on a specific page having the largest number of page views may be separately provided. In addition, referring to 702 of FIG. 7 , information on a rate at which a channel of a specific influencer is positioned at the top, middle, or bottom of the screen may be provided when searching. In addition, referring to 702 of FIG. 7 , a user access path may be provided in the form of a line or bar graph, and the category may be variously set to a type of a search keyword, a type of a portal used for access, and the like. Also, referring to 702 of FIG. 7 , user behavior information may be provided in the form of a flowchart. The rate of moving from one page to another or the rate of leaving may be provided. Meanwhile, the types of graphs shown in 702 of FIG. 7 are only examples, and the present invention is not limited thereto and may be implemented as various types of graphs.

3.2 Example 2 <Example provided by analyzing economic effects for specific industries>

Since the operations of the above-described smart information analysis system can be applied mutatis mutandis to the second embodiment, a redundant description will be omitted.

According to an embodiment, the management server 110 uses an artificial intelligence model implemented in advance based on the information about various people accumulated in the management server 110, and additionally, in a specific industry for a specific influencer. By analyzing the economic effect, information on the analyzed economic effect may be provided to the client server 120 . The industry includes, but is not limited to, a beauty industry, a restaurant industry, a service industry, a distribution industry, an education industry, a real estate industry, etc. as described above, and various types of industries may be further included according to the setting of the management server 110 .

8 is a flowchart for explaining another example of the operation of the smart information analysis system according to an embodiment of the present application. According to various embodiments, the operation of the smart information analysis system is not limited to the order of the operations illustrated in FIG. 8 , and may be performed in an order different from the illustrated order. In addition, according to various embodiments, more operations than the operation of the smart information analysis system shown in FIG. 8 may be performed, or at least one less operation may be performed. Hereinafter, FIG. 8 will be described with reference to FIGS. 9 to 10 .

9 is a view for explaining an example of the operation of the management server 110 according to an embodiment of the present application to generate an artificial intelligence model for analyzing information on economic effects. 10 is an example of an operation in which the management server 110 according to an embodiment of the present application calculates an economic effect using an artificial intelligence model, and provides information on the calculated economic effect to the client server 120 It is a drawing for explanation.

According to an embodiment, the management server 110 acquires at least some information from information for a plurality of influencers stored in the management server in operation 801 , and learns an artificial intelligence model based on the information obtained in operation 802 . can do. For example, the management server 110 includes various types of information about the specific influencer described above in the “first embodiment” (eg, information that can be analyzed in the portal server 130 or the SNS server 530 itself, and As information about other influencers is collected as by collecting information that can be collected using codes and/or links), information about a plurality of influencers is collected as shown in 901 of FIG. It may be stored in a database (eg, the first database 116 ). Hereinafter, an example of the operation of generating the artificial intelligence model 900 based on the big data accumulated in the database 116 of the management server 110 will be described.

In one embodiment, the management server 110 first of all information about a plurality of influencers from the database 116 in order to generate an artificial intelligence model 900 for calculating the economic effect for each industry type. It is possible to obtain (or extract) information about the authors. For example, the management server 900, as shown in FIGS. 901 to 902, each type of business (eg, beauty business, restaurant business, service business, distribution business, education business, real estate business), the economic effect ranking for each sector (eg, : 5%) can obtain information about the influencers included in the database 116. For example, the management server 900 may determine the industry for the influencer, calculate the economic profit of a plurality of influencers to identify the economic effect on the determined industry. As an example, the management server 900 identifies the pages of the channel on which the influencer has performed marketing, and identifies the industry corresponding to the identified pages (eg, by analyzing the content extracted from the page as described above) can be identified). Based on the identification operation, the management server 900 identifies industries of pages operated by each of a plurality of influencers, and determines the largest number of industries among the identified industries as industries for the influencer. can The management server 900 collects information about the economic profit (eg, increased sales of a specific product) promoted by the marketing for a marketing target (eg, a specific product) after the influencer conducts marketing, The collected information can be identified as an economic effect on the influencer. By performing the above operation for other influencers, the management server 900 may identify information on industries and economic effects of a plurality of influencers. Accordingly, the management server 900 may acquire information on influencers whose economic effects (eg, increased sales) for each industry are included within a higher specified ratio (eg, 5%).

In one embodiment, the management server 110 trains information about the acquired influencers (eg, funnel information, behavioral information, exposure location, and activity period) and information on industries for each influencer. The artificial intelligence model 900 may be generated using the data (training data). For example, the management server 110 sets information about the influencers (eg, funnel information, behavior information, exposure location, and activity period) as input data, and each influencer By setting information on industries as output data, learning (eg, parameter (eg, weight learning 930 )) may be performed based on various types of artificial intelligence learning algorithms. Since the artificial intelligence learning algorithm may include various types of well-known machine learning and deep learning algorithms, a detailed description will be omitted. In this case, the management server 110 before learning uses the acquired information It can be processed into a form that can be learned (for example, text information such as information on an inflow path or exposure position is assigned to a specific value that can be operated with a matrix) According to the learning, the generated artificial intelligence model 900 is In response to receiving information 931 (eg, funnel information, behavioral information, exposure location, and activity period) on the influencer, information 932 on the weight for each industry will be finally output. As an example, the artificial intelligence model 900 includes layers for calculating input information (eg, funnel information, behavior information, exposure location, and activity period) about a specific influencer, and a specific influencer It may be an artificial intelligence model trained to finally output a weight for each industry through an operation that multiplies a weight for information about a Luncer (eg, funnel information, behavior information, exposure location, and activity period).

According to an embodiment, the management server 110 receives a request for analysis of economic effects in a specific industry for a specific influencer in operation 803, and inputs information on the specific influencer to the artificial intelligence model in operation 804 It is possible to provide economic effect information to a specific industry based on the output information. For example, as shown in 1001 of FIG. 10 , the management server 110 , along with an analysis request for a specific influencer (eg, influencer A), has economic effects on a specific industry (eg, type A). A request for analysis of information may be received. In this case, as shown in 1002 of FIG. 10 , the management server 110 provides information to a specific influencer (eg, influencer A) collected based on the method of collecting information described above in the “first embodiment”. Industry information (eg, funnel information, behavior information, exposure location, and activity period) is processed and the processed information is input to the artificial intelligence model 900 implemented in advance and outputted (eg, industry A, B It is possible to identify (1021) a weight for each type of industry, C type). The management server 110 identifies a weight (0.72) for a specific industry (eg, type A) for which analysis is requested among the weights for each type of industry (eg, type A, type B, type C), and the identified weight (0.72) ) multiplied by the economic effect (e.g., increased sales) within a specified percentage (e.g., top 5%) of a given industry to calculate the economic effect (e.g., expected increase in sales) for a specific influencer (e.g., Influencer A) or estimate 1022 . As described above, the management server 110 can identify in advance the economic effects of influencers for each industry, so the ratio extracted for implementation of the artificial intelligence model 900 for each industry based on this (eg, higher 5%), the average economic effect for the influencers can be calculated in advance. The management server 110 identifies the weight (eg, 0.72) for a specific industry (eg, type A) output for a specific influencer (eg, influencer A) as an expectation of economic effect for a specific type of business. , it is possible to calculate or estimate the economic effect (eg, expected increase in sales) for a specific influencer (eg, influencer A) by reflecting this in the average economic effect calculated in advance.

3.3. 3rd embodiment <Example providing a solution for marketing promotion for influencers>

Since the operations of the above-described smart information analysis system can be applied mutatis mutandis to the third embodiment, a redundant description will be omitted.

According to an embodiment, the management server 110 is based on the result output from the artificial intelligence model 900 (eg, weight for a specific industry), the improvement point of the influencer (eg, to promote marketing in a specific industry) : In order to modify the funnel, it is possible to perform the action of providing a solution including the need to add a specific kind of content within the page creation).

11 is a flowchart for explaining another example of the operation of the smart information analysis system according to an embodiment of the present application. According to various embodiments, the operation of the smart information analysis system is not limited to the order of the operations illustrated in FIG. 11 , and may be performed in an order different from the illustrated order. In addition, according to various embodiments, more operations than the operations of the smart information analysis system shown in FIG. 11 or at least one fewer operations may be performed. Hereinafter, FIG. 11 will be described with reference to FIG. 12 .

12 is a diagram for explaining an example of an operation of providing a solution to a specific influencer using an artificial intelligence model of the management server 110 according to an embodiment of the present application.

According to one embodiment, the management server 110 corrects information on a specific influencer in operation 1101, inputs the corrected information into an artificial intelligence model to obtain a weight for a specific industry output to be output, and in operation 1102 It may be determined whether the obtained weight exceeds a threshold value. For example, as described above in the "second embodiment", the management server 110 includes information (eg, funnel information, By processing and inputting behavioral information, exposure location information, and activity period information), it is possible to identify a weight (eg, 0.72) for a specific industry requested for analysis (eg, type A). When the identified weight (eg, 0.72) is smaller than a preset threshold (eg, 0.9), the management server 110 provides information about a specific influencer (eg, influencer A) (eg, funnel information, Behavior information, exposure location information, activity period information) can be modified for specific types of information. At this time, a specific type of information may be selected according to the priority, and the priority may be set in proportion to the influence on the economic effect, for example, as shown in 1201 to 1202 of FIG. 12, the inflow path information; It may be determined in the order of exposure location information, behavior information, and activity period information, but is not limited thereto and may be set in various orders in the management server 110 . The threshold value is not limited to the above description and may be set to various values. For example, as shown in 1201 of FIG. 12 , the management server 110 selects a specific one of funnel information, behavior information, exposure location information, and activity period information for the specific influencer (eg, influencer A). Information of type (eg funnel) can be modified. The above correction is based on information about a specific type (eg, funnel) of influencers within a specified percentage (eg, top 5%) extracted to create an artificial intelligence model 900 of a specific industry (eg, sector A) can be performed with For example, the most frequently used keyword included in the funnel information of a specific influencer (eg, influencer A) is “A product”, and the most frequently used keywords of influencers within a specified ratio (eg, top 5%) are When the frequently used keyword is "makeup", the management server 110 may correct the most frequently used keyword of a specific influencer (eg, influencer A) to "makeup". The management server 110 transmits information on a specific influencer (eg, influencer A) whose information on the specific type (eg, inflow path) has been modified as shown in 1201 of FIG. 12 in the artificial intelligence model ( 900), the weight (eg, 0.8) for a specific industry (eg, type A) may be re-identified. On the other hand, in one embodiment, the management server 110, when the specific type of information is different from information about a specific type (eg, inflow path) of influencers within the specified ratio (eg, top 5%) (eg: If the similarity is less than the specified value), the information on the specific type may be corrected, and if the similarity (eg, the similarity is greater than or equal to the specified value), the information on the other type may be corrected.

According to an embodiment, when the re-identified weight (eg, 0.8) does not exceed a threshold (eg, 0.9), the management server 110 continues to provide different types of information as shown in 1202 of FIG. 12 . It is possible to obtain a weight for a specific industry by modifying (eg, information about exposure positions) (eg, modifying the most frequently exposed positions), and re-judgment whether the obtained weight exceeds a threshold value. In this case, the management server 110 may select and modify the type of information corresponding to the next priority, which is one step lower than the priority of the previously modified information, based on the priority as described above.

According to one embodiment, when the obtained weight exceeds the threshold value, the management server 110 analyzes a solution for facilitating the economic effect of a specific influencer based on the information corrected in operation 1103, and in operation 1104 Analyzed solution information can be provided. For example, as a result, the management server 110 may identify a weight (eg, 0.92) that exceeds the threshold value (0.9) based on the information on the funnel information and the information on the exposure location is corrected. In this case, the management server 110 may provide a solution that allows a specific influencer (eg, influencer A) to modify content in a page or to take note when creating a page in the future, based on the corrected information. As an example, the management server 110 creates a page by a specific influencer (eg, influencer A) based on the modification of the funnel information (eg, modifying the most frequently used keyword to “makeup”). It is possible to provide a solution to ensure that the keyword "makeup method" is added to the page so that it can be searched by the poem "makeup method". As another example, the management server 110 is a portal that allows a specific influencer (eg, influencer A) to be exposed at the top of the search based on the modification (eg, modification to the topmost) of the exposure location. We can also provide solutions that make products available.

Claims (5)

As a method of operating a server,
Receiving information about a specific influencer to be analyzed from the client server;
Including; identifying information on a channel operated by the specific influencer, wherein the channel is at least one page of a portal site provided by a portal server operated by the specific influencer or the specific influencer At least one page of an SNS channel provided by a social network service (SNS) server operated by
generating at least one code for collecting at least one of information on an inflow path or behavior information of users accessing a channel operated by the specific influencer; A tracking code implemented to be inserted into one page or a header part of at least one page of the SNS channel,
transmitting a request for inserting the generated at least one code to the portal server or the SNS server;
The page view collected by itself in the portal server or the SNS server together with at least one of the information on the inflow path or the behavior information collected from the portal server or the SNS server based on the at least one code receiving information about; and
Visualizing and providing information on the page view and at least one of the received information on the inflow path or the behavior information;
Receiving information on a specific industry to be analyzed from the client server;
Among a plurality of first pages of the portal site provided by the portal server operated by the specific influencer or a plurality of second pages of the SNS channel provided by the SNS server operated by the specific influencer , identifying at least one page corresponding to the specific industry; and
generating the at least one code to be inserted into the identified at least one page;
extracting content included in the plurality of first pages or the plurality of second pages;
By identifying the industry corresponding to the extracted content from among a plurality of industries, identifying the industry for each of the plurality of first pages or the plurality of second pages; and
Based on the identification of the plurality of first pages or the plurality of second pages for each type of industry, the at least one page corresponding to the specific industry from among the plurality of first pages or the plurality of second pages Including;
Creating an artificial intelligence model by using, as training data, a plurality of pieces of information on a plurality of influencers stored in the server and information on industries corresponding to each of the plurality of influencers as training data; The artificial intelligence model is set to output a weight for each of the plurality of industries in response to receiving the plurality of pieces of information about the first influencer, and the plurality of pieces of information includes information about the inflow path, the behavior information, placement information, and information about the duration of the activity;
Receives the plurality of pieces of information about the specific influencer from the portal server or the SNS server, and outputs the plurality of pieces of information about the specific influencer in response to inputting the plurality of pieces of information into the artificial intelligence model. identifying a weight for each of a plurality of industries; and
Identifies a first weight corresponding to the specific industry among the weights for each of the plurality of industries, and provides information on the economic effect of the specific influencer on the specific industry calculated based on the identified first weight step; including;
Including; based on the content included in the page of the portal server or SNS server operated by the plurality of influencers, identifying information on the industry for each of the plurality of influencers;
Among the plurality of pieces of information on the plurality of first influencers stored in the server, the plurality of pieces of information on the plurality of influencers whose economic effects for each of the plurality of industries are included in a predetermined upper ratio Including;
Containing;
if the identified weight is less than a threshold, modifying a specific type of information among the plurality of pieces of information on the specific influencer; and
When the first weight output based on re-inputting the plurality of pieces of information in which the specific type of information is corrected to the artificial intelligence model is equal to or greater than the threshold value, based on the modified specific type of information, the specific influence Providing a marketing solution for the unseo; further comprising,
The specific type of information to be modified is determined according to a priority among the plurality of information, and the priority is set in proportion to an impact on economic effects,
The information on the economic effect includes information about the expected increase in sales,
Information on the economic effect on the specific industry of the specific influencer is derived based on the identified first weight and information on the pre-calculated average economic effect,
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