KR20220141732A - Electronic devices that analyze information on specific sites for AI marketing solutions and their operating methods - Google Patents

Abstract

According to one embodiment of the present invention, provided is a method for operating a server which analyzes information on a specific site for an AI marketing solution. The method comprises the steps of: receiving a message for requesting analysis of a specific site from a client server, wherein the message includes identification information on the specific site and information on a specific product; generating at least one code for collecting at least one of information on an inflow path of users accessing the specific site and behavioral information based on the reception of the massage, wherein the at least one code includes a tracking code implemented to be inserted into a header part of at least one posting on the specific site; transmitting a message for requesting insertion of the generated at least one code into some postings related to the specific product among a plurality of posts on the specific site to a server of the specific site through a portal server or an SNS server; receiving information on the number of views of some postings on the specific site, collected by the server itself, along with at least one of the information on the inflow path and behavioral information, collected based on the at least one code, from the server; and visualizing and providing at least one of the received information on the inflow path or behavioral information and information on a page view. Other various embodiments are possible. According to the present invention, the method enables a user to effectively sell his or her products.

Description

{Electronic devices that analyze information on specific sites for AI marketing solutions and their operating methods}

The present application relates to an electronic device for analyzing information on a specific site for an AI marketing solution and an operating method thereof.

Due to the impact of COVID-19, the demand for e-commerce, that is, online transactions, has risen sharply, and global sales in the second quarter of 2020 are increasing by 71% compared to the same period of the previous year. Accordingly, in recent years, the demand for online sales technology for selling products through a specific web site (eg, a shopping site) non-face-to-face is increasing.

In the sale of products through these 　 sites, it is important to select a site for selling products to secure a greater number of customers. However, since various types of sites for product sales are being opened one after another, it is difficult for a seller who sells products to decide which site to sell the product through.

Therefore, in order to solve these difficulties and to more efficiently sell products through the website, it is a time when a technology for continuously monitoring sites for selling products and analyzing information about the sites is required.

According to an embodiment of the present application, one task is to collect, analyze, visualize, and provide information on a specific site based on an algorithm for collecting information on a specific site (eg, a shopping site), thereby easily specifying specific information. An object of the present invention is to provide an electronic device capable of confirming information on a site and an operating method thereof.

According to an embodiment of the present application, another task is to provide an expected economic effect in a specific industry related to a specific product for a specific site, using big data accumulated in the server, thereby providing the economic effect of a specific site in a specific industry An object of the present invention is to provide an electronic device and an operating method for reducing the burden of a seller of a product having to directly calculate .

According to an embodiment of the present application, another task is to provide a solution recommended for enhancing the economic effect when selling a product using a specific site based on an artificial intelligence model, thereby effectively performing product sales. An object is to provide an apparatus and a method of operation.

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 an embodiment, there is provided a method of operating a server, comprising: receiving a message for requesting analysis of a specific site from a client server, wherein the message includes identification information for the specific site and information on a specific product and, based on receiving the message, generating at least one code for collecting at least one of information on an inflow path of users accessing the specific site and behavioral information; The at least one code includes a tracking code embodied to be insertable in a header portion of at least one post of the specific site, and the generated at least one post related to the specific product among a plurality of posts of the specific site transmitting a message for requesting insertion of one code to a server of the specific site through a portal server or an SNS server; Information on the number of views of the partial posts of the specific site collected by the server itself along with at least one of the information on the inflow path or the behavior information collected from the server based on the at least one code receiving; and visualizing and providing information on the received information on the inflow path, or 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 comprises: a method of operating a server, receiving a message for requesting analysis of a specific site from a client server using the communication circuit, the message comprising: At least for collecting at least one of information on an inflow path of users accessing the specific site, or behavioral information, including identification information for a specific site and information about a specific product, and based on receiving the message generate one code, wherein the at least one code includes a tracking code embodied to be insertable in a header portion of at least one post of the specific site, and uses the communication circuit to post a plurality of posts of the specific site A message for requesting insertion of the generated at least one code in some posts related to the specific product among , information on the number of views of the partial posts of the specific site collected by the server itself, together with at least one of the information on the inflow path collected based on the at least one code, or the behavior information, , a server configured to visualize and provide information on the page view and at least one of the received information on the inflow path, or the behavior information, may be provided.

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, visualize, and provide information on a specific site based on an algorithm for collecting information on a specific site (eg, a shopping site). , it can be provided that makes it possible to easily check information about a specific site.

According to an embodiment of the present application, an electronic device and an operating method thereof use big data accumulated in a server to provide an economic effect expectation in a specific industry related to a specific product for a specific site, thereby providing a specific economic effect in a specific industry. It is possible to reduce the burden of having to calculate the economic effect of the site directly by the seller of the product.

According to an embodiment of the present application, an electronic device and an operating method thereof provide a solution recommended for enhancing the economic effect when selling a product using a specific site based on an artificial intelligence model, thereby effectively performing product sales. can make it

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 site (eg, a shopping site) of a 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 site (eg, a shopping site) collected by a 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 an operation of generating an artificial intelligence model for analyzing information on the economic effect of the management server according to an embodiment of the present application.
10 is a diagram for explaining an example of an operation of calculating an economic effect using an artificial intelligence model of a management server according to an embodiment of the present application and providing information on the calculated economic effect to a 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 site using an artificial intelligence model of a management server according to an embodiment of the present application.

According to an embodiment, there is provided a method of operating a server, comprising: receiving a message for requesting analysis of a specific site from a client server, wherein the message includes identification information for the specific site and information on a specific product and, based on receiving the message, generating at least one code for collecting at least one of information on an inflow path of users accessing the specific site and behavioral information; The at least one code includes a tracking code embodied to be insertable in a header portion of at least one post of the specific site, and the generated at least one post related to the specific product among a plurality of posts of the specific site transmitting a message for requesting insertion of one code to a server of the specific site through a portal server or an SNS server; Information on the number of views of the partial posts of the specific site collected by the server itself along with at least one of the information on the inflow path or the behavior information collected from the server based on the at least one code receiving; and visualizing and providing information on the received information on the inflow path, or at least one of the behavior information, and the page view.

According to one embodiment, based on the received message, receiving information on a specific industry associated with the specific product; Generating the message for requesting insertion of the at least one code into some posts related to the specific industry among a plurality of posts on the specific site; including, an operating method may be provided.

According to an embodiment, identifying information about at least one first characteristic associated with the specific product; includes, wherein the at least one first characteristic is at least one of a color, a material, a material, a price, and a size including, extracting content included in each of the partial posts associated with the specific industry, and identifying at least one second characteristic corresponding to each of the partial posts based on analyzing the extracted content; selecting at least one post having at least one characteristic corresponding to the at least one first characteristic associated with the specific product from among the partial postings, based on identifying the at least one second characteristic including; and, the specified number is determined based on the number of the partial posts associated with the specific industry, and requests the insertion of the at least one code into the selected at least one post among a plurality of posts on the specific site. Including; generating the message for the operation method may be provided.

According to an embodiment, generating an artificial intelligence model by using a plurality of pieces of information on a plurality of sites stored in the server and information on industries corresponding to each of the plurality of sites as training data; and , 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 on the first site, and the plurality of pieces of information includes information about the inflow path, the behavior receiving the plurality of pieces of information about the specific site from the server based at least in part on the at least one code, including information on location information, and information on an activity period; In response to inputting the plurality of pieces of information into 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 among the weights for each of the plurality of industries, and providing information on the economic effect of the specific site calculated based on the identified first weight for the specific industry A method of operation, including; step; may be provided.

According to one embodiment, based on the content included for each of the plurality of first posts of the plurality of sites, identifying information on the industry of each of the plurality of sites; including; can be

According to an embodiment, among the plurality of pieces of information on the first plurality of sites stored in the server, the plurality of pieces of information on the plurality of sites in which economic effects for each of the plurality of industries are included in a specified ratio. A method of operation comprising a; using the obtained plurality of information for learning the artificial intelligence model by acquiring the

According to an embodiment, based on the multiplication of the identified first weight by the average economic effect of some sites corresponding to the specific industry among the plurality of sites, the economic effect of the specific site on the specific industry is calculated. A method of operation, including; calculating information, may be provided.

According to an embodiment, when the identified first weight is less than a threshold, modifying a specific type of information among the plurality of information on the specific site; and when the second weight output based on re-inputting the plurality of pieces of information in which the specific type of information is corrected into the artificial intelligence model is equal to or greater than the threshold value, the specific site based on the modified specific type of information Providing a solution for the; further comprising, an operating method may be provided.

According to one embodiment, 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 effect on an economic effect, an operating method may be provided. .

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 comprises: a method of operating a server, receiving a message for requesting analysis of a specific site from a client server using the communication circuit, the message comprising: At least for collecting at least one of information on an inflow path of users accessing the specific site, or behavioral information, including identification information for a specific site and information about a specific product, and based on receiving the message generate one code, wherein the at least one code includes a tracking code embodied to be insertable in a header portion of at least one post of the specific site, and uses the communication circuit to post a plurality of posts of the specific site A message for requesting insertion of the generated at least one code in some posts related to the specific product among , information on the number of views of the partial posts of the specific site collected by the server itself, together with at least one of the information on the inflow path collected based on the at least one code, or the behavior information, , a server configured to visualize and provide information on the page view and at least one of the received information on the inflow path, or the behavior information, may be provided.

According to one embodiment, as a computer-readable recording medium recording a program for executing a method of analyzing information on a specific site in a server, the method of analyzing information on the specific site is analyzed from a client server Receiving a message for requesting; includes, wherein the message includes identification information for the specific site and information about a specific product, and based on receiving the message, a user accessing the specific site Including; generating at least one code for collecting at least one of information on their inflow paths and behavioral information, wherein the at least one code can be inserted into a header part of at least one post on the specific site a message for requesting insertion of the generated at least one code into some posts related to the specific product among a plurality of posts on the specific site, through a portal server or an SNS server Transmitting to a server of a specific site; The specific site collected by the server itself from the 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 receiving information on the number of views of the partial posts; and visualizing and 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, a computer program stored in a medium for performing a method of analyzing information on a specific site and performed in a server, wherein the method of analyzing information on the specific site is analyzed from a client server Receiving a message for requesting; includes, wherein the message includes identification information for the specific site and information about a specific product, and based on receiving the message, a user accessing the specific site Including; generating at least one code for collecting at least one of information on their inflow paths and behavioral information, wherein the at least one code can be inserted into a header part of at least one post on the specific site a message for requesting insertion of the generated at least one code into some posts related to the specific product among a plurality of posts on the specific site, through a portal server or an SNS server Transmitting to a server of a specific site; The specific site collected by the server itself from the 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 receiving information on the number of views of the partial posts; and visualizing and providing information on the received information on the inflow path, at least one of the behavior information, and the page view.

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, when 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. As used herein, "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 of which 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 simply be used to distinguish an element from other elements in question, and may refer elements to 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).

Various embodiments of the present document include 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, the processor (eg, the processor 120 ) of the device (eg, the electronic device 101 ) may call at least one of the one or more instructions stored from the 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 in a computer program product (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 machine-readable storage medium (eg compact disc read only memory (CD-ROM)), or through an application store (eg Play Store™) or on two user devices ( It can be distributed (eg downloaded or uploaded) directly, online between smartphones (eg: smartphones). In the case of online distribution, at least a portion 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 information analysis system

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

In this specification, the smart information analysis system collects various types of information about a specific site (eg, a shopping mall or a shopping site) according to the request of a client (eg, an advertiser or an advertiser's agency), and analyzes the collected information. It can be defined as a system implemented to provide visualized analysis information. For example, the specific site may be a site implemented to register products of various industries (eg, clothing business, restaurant business, etc.) and sell the registered products. In recent years, since it is a trend to consume and sell products of various industries non-face-to-face, it is becoming important to register and sell the products on an appropriate site. Meanwhile, the specific site is not limited thereto, and in addition to a site for selling products, various sites from which a client requests analysis may be included. The smart information analysis system generates codes and/or links to collect various kinds of information about a specific site, inserts the generated codes and/or links into a specific site, and collects the codes and/or links collected through the embedded codes and/or links. Various types of information (e.g., the number of page views (or post views), user funnels, user behavior information, and/or web links (or content) of specific sites when searching exposure location) can 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 , a shopping server 150 , and an electronic device 140 . However, it is not limited to that shown in FIG. 1 and the smart information analysis system may be implemented to include fewer devices or more devices than the illustrated devices.

According to an embodiment of the present application, the management server 110 collects various types of information on a specific site (eg, a shopping site), analyzes the collected various types of information, and displays the analyzed information. can provide For example, the management server 110 receives an analysis request for a specific person (eg, a shopping site) from the client server 120 to be described later, and various media in which the specific person performs marketing based on the received analysis request. Various types of information about a specific site (eg, the number of page views (or the number of post views), users funnels, and/or placement of web links (or content) of specific sites during search). Also, for example, the management server 110 may configure and provide an interface including various types of information analyzed by visualizing 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) may be a server operated by a client requesting analysis of a specific site (eg, a shopping site) to the management server 110 . have. The client may include an advertiser or an advertiser's agent who wants to perform marketing using a specific site (eg, a shopping site). The client server 120 may store a list of sites (eg, shopping sites) selected for marketing by an advertiser or an agent, and manage analysis of at least one site among sites registered in the list It may request from the 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, users may access the portal server 130 using the electronic device 140 and request a search for a specific product through a portal site provided by the portal server 130 . In this case, the portal server 130 may provide the electronic device 140 with information on sites selling a specific product requested to be searched. The information on the sites selling the specific product may include a link for accessing the site (eg, a shopping site), and the user can access the site by selecting the link using the electronic device 140 . can On the other hand, not limited to the description and/or illustrated, in addition to the portal server 130, various types of servers capable of providing a search function for a specific site or page may be included. For example, the various types of servers may include a social network system (SNS) server. In the SNS server, a page of a specific site may be searchable.

According to an embodiment of the present application, the electronic device 140 may communicate with the portal server 130 and may include various types of electronic devices usable by users (eg, consumers). 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 and perform a search using a search engine provided by the portal server 130 . If a link to a specific site (eg, a shopping site) is provided as a search result, the user may use the electronic device 140 to access the specific server through the link to the specific site and receive the specific site .

According to an embodiment of the present application, the shopping server 150 may be a server that registers products on a shopping site and manages various information for sale of the registered products. The shopping server 150 provides a shopping site to the electronic device 140 connected to the shopping server 150 , and provides information on products registered in the shopping site to the electronic device 140 through the shopping site. can

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

2.1. An example of configurations of a smart information analysis system

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".

2.1.1 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 communication circuit 111 , an information acquisition module 113 , an information analysis module 114 , and an information visualization module 115 . 1 control circuit 112 , 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 portal 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), code division multiple access (CDMA), wideband CDMA (WCDMA), universal mobile telecommunications system (UMTS), Wireless Broadband (WiBro), or GSM (GSM). Global System for Mobile Communications) and the like may include cellular communication using at least one. According to one embodiment, the wireless communication is, for example, WiFi (wireless fidelity), Bluetooth, Bluetooth low energy (BLE), Zigbee (Zigbee), NFC (near field communication), 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). have. The network 162 may include at least one of a telecommunications network, for example, a computer network (eg, a 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 The control circuit 112 may control 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, the first control circuit 112 may control to perform an operation associated with the module. Meanwhile, in the following description, unless otherwise specified, the operation of the electronic device 100 may be interpreted as being performed by 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 may collect various types of information related to a specific site (eg, a shopping site). For example, the various types of information may include information that can be analyzed by the shopping server 150 itself and information that is collected as it is inserted into a specific site using codes and/or links generated by the management server 110 . can For example, the information that can be analyzed by the shopping server 150 itself is a page view indicating the number of times users (or the electronic device 140 ) accessed a specific post on a specific site (eg, a shopping site). It may include, but is not limited to, the number of times (or the number of content views), the number of likes set by users for a specific post (or the number of registered bookmarks), and the number of comments left by users on a specific 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 activity in the specific site of the shopping server 150 (eg, opened by the user). information on posts to be viewed) and/or information on a specific site (eg, a link) when searched, but is not limited thereto. The information acquisition module 113 may generate a code that can be inserted into a specific site (eg, a shopping site) 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, 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 sites.

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 information through the established communication 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 the operation 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 a user input for inputting a search word on the portal site of the portal server 130 ). The input device 130 may be various interfaces or connection ports that receive 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 on a specific site (eg, a specific site) is performed in the management server 110, and the visualized information according to the operations is transmitted to the client server. When implemented to be provided as 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 site You can perform an action to collect information about (eg, a shopping site) 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. First Embodiment <Operation of collecting, analyzing, and visualizing information on a specific site (eg, a shopping site)>

According to an embodiment, the management server 110 provides various types of information for analysis of a specific site (eg, a shopping site) requested from the client server 120 (eg, the number of page views (or a post). views), user funnels, user behavioral information, and/or placement of links (or content) on specific sites when searching), Information can be analyzed and visualized and provided.

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 site (eg, a shopping site) 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 site (eg, a shopping site) 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 manages a list of shopping servers for product sales in operation 401 , and analyzes a specific shopping site from the list of shopping sites in operation 402 to the management server 110 . you can request For example, the client server 120 is a server managed by an advertiser or agency for performing sales of a specific product, and the client server 120 includes a plurality of sites (eg, shopping) managed by the advertiser or agency. sites) can be stored. As illustrated in 501 of FIG. 5 , the client server 501 may transmit a message for requesting analysis of a specific shopping site among a plurality of shopping sites to the management server 110 . The message for requesting analysis of the specific shopping site may include identification information on the specific site. However, not limited to the description and/or illustrated, the client server 120 may request the management server 110 to analyze a plurality of sites instead of a single site.

According to an embodiment, the client server 120 also manages information on the industry to be analyzed (eg, clothing industry, beauty industry, restaurant industry, service industry, distribution industry, education industry, real estate industry, etc.) when an analysis request for a specific site is requested It can be transmitted to the server 110 . For example, a specific product (eg, cardigan) that an advertiser or agency wants to sell may belong to a specific industry (eg, apparel). Accordingly, an advertiser or an agency may want to analyze whether a specific site has an economic effect in an industry (eg, clothing business) to which a product (eg, cardigan) to be sold belongs. In this case, the client server 120 may transmit information on an industry to be analyzed (eg, clothing industry) to the management server 110 together when an analysis request for a specific site is requested. Accordingly, the message for requesting analysis of the specific shopping site may further include information on a specific product to be sold and/or information on a specific industry to which the specific product belongs. Or, without being limited to what is described, the management server 110 may identify information about a specific product included in the message, and identify a specific industry to which a specific product belongs.

According to an embodiment, the management server 110 generates a code or link for collection of various types of information on a specific shopping server in operation 403 , and transmits the code or link for collection of information to the shopping servers in operation 404 . It may make a request to 150 and receive various types of information based on the code or the link in operation 405 .

First, in an embodiment, the management server 110 may acquire basic information (eg, an address of a specific site, a code type that can be inserted into a specific site) about a specific site for which analysis is requested. For example, the management server 110, based on receiving the request message for analysis of the specific site, as shown in 502 of FIG. ) can be obtained. The management server 110, based on the identification information, the address of a specific site (eg, a shopping site), the number of users who use the specific site (eg, a shopping site) (eg, follow the page when operating on SNS) number), basic information such as sales of a specific site can be obtained. The management server 110 may receive the basic information from the client server 120 , but may also collect basic information from the shopping servers 150 operating a specific site using a crawling function.

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). have. For example, the information includes the number of page views (page view) indicating the number of times that users accessed through the portal site 130 or the SNS server 530 to a post registered on a specific site (eg, a type A shopping site). Alternatively, the number of posts viewed), the number of likes set by users on posts, and the number of comments left by users on posts, but is not limited thereto. In another embodiment, the management server 110 may collect various types of information about a specific site based on a link and/or a code. For example, the management server 110 may acquire basic information (eg, the address of the specific site, the type of code that can be inserted into the specific site) about the specific site for which analysis is requested. The tracking code is generated in the form of a language (eg, HTML, CSS, JavaScript) for the implementation of posts of a shopping site or pages of an SNS channel and is inserted into a header area in posts or pages of a shopping site, It may be executed when a user accesses a shopping site in order to identify an inflow path to a page or to collect information (eg, behavioral information) about posts used by users accessing the shopping site. As shown in 503 of FIG. 5 , the management server 110 transmits codes and/or links generated in a language format used by the shopping site to the shopping server 150 for operating a specific site (eg: tracking code) to be inserted in the header area within posts on the shopping site. In this case, the management server 110 may allow codes to be inserted into posts related to a specific industry (eg, clothing business) to which a product to be sold (eg, a cardigan) belongs. Accordingly, the shopping server 150 inserts tracking codes into posts of the clothing industry category among posts of a shopping site (eg, clothing shopping site A), and as shown in FIG. 6 , the user accesses the shopping site. In this case, information about the user's funnel or behavioral information may be collected. For example, the information on the inflow path includes, referring to 601 to 602 of FIG. 6 , a portal site (eg, portal A) used to access a shopping site and a search term (or keyword) (eg, cardigan). can do. Also, for example, as for the behavior information, referring to 602 to 603 of FIG. 6 , while a user accesses a specific site (eg, clothing shopping site A), posts of a specific site (eg, clothing shopping site A) are displayed. It may include information about the browsing history (eg, moving from the page for product A shown in 602 to the page for product B shown in 603). The shopping server 150 may transmit the collected information based on the inserted tracking code to the management server 110 as shown in 701 of FIG. 7 . 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 search result (eg, link) of a specific site within the portal (eg, A portal) when searching (eg, A portal). e.g., information about the bottom) may be included, and a code for collecting it may be generated separately.

In this case, according to an embodiment, the management server 110 posts related to characteristics related to a product to be sold among posts for a specific industry (eg, clothing business) of a specific site, based on information on a specific category to be analyzed. You can also insert code in . The characteristics may be various types of characteristics indicating characteristics of a product to be sold, and may include, for example, color, material, material, price, size, and the like. For example, the management server 110 may identify information on at least one characteristic (eg, color, material, material) of the product based on the information on the product to be analyzed included in the analysis request message. The management server 110 is based on the identification of the at least one characteristic to be analyzed (eg, color, material, material), the characteristic of each of the posts associated with a specific industry of the specific site (eg, clothing shopping site A) can be analyzed. For example, the management server 110 extracts content (eg, images or text) included in each of the plurality of posts, and analyzes the extracted content to identify characteristics of products included in the posts. For example, the management server 110 may determine the characteristics of the product included in the post by extracting a keyword from the texts of the page and identifying the characteristic corresponding to the extracted keyword. The management server 110 selects some posts having the characteristics of the product to be sold from among a plurality of posts associated with a specific industry (eg, clothing business) based on the characteristics determined for each of the plurality of posts, and a code is applied only to the selected page A request may be made to the shopping server 150 to be inserted. Accordingly, since information is collected and analyzed only for specific posts, the process for analysis can be reduced. In this case, the management server 110 may select posts having more than a specified number of characteristics of a product to be sold from among the plurality of posts. The specified number may be determined according to the number of posts related to a specific industry on the shopping site. For example, as the number of posts increases, the specified number may be set to be higher, so that the number of posts into which the code is inserted decreases.

According to an embodiment, the management server 110 may perform information analysis, visualization, and provision operations in operation 406 . 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 in 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 link of a specific site is located at the top, middle, or bottom of the search screen may be provided during a search. 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 post to another or the rate of leaving can be provided together. 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 information on various sites accumulated in the management server 110 , and additionally a specific industry for a specific site (eg, clothing industry). ) 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, the clothing industry, the beauty industry, the catering industry, the service industry, the distribution industry, the education industry, and the real estate industry 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 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 diagram for explaining an example of an operation of generating an artificial intelligence model for analyzing information on the economic effect of the management server 110 according to an embodiment of the present application. 10 is an example of an operation of calculating an economic effect using an artificial intelligence model of the management server 110 according to an embodiment of the present application, and providing 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 each of a plurality of shopping sites stored in the management server in operation 801 , and learns an artificial intelligence model based on the information obtained in operation 802 . can For example, the management server 110 includes various types of information about the specific site described above in the "first embodiment" (eg, information and codes that can be analyzed in the portal server 130 or the SNS server 530 itself) and / or by collecting information on other sites as by collecting information that can be collected using links), information on a plurality of sites is stored in a database (eg, a first database (116)) can be stored. 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, first, the management server 110 for some sites of information about a plurality of sites from the database 116 in order to generate an artificial intelligence model 900 for calculating the economic effect for each industry type. Information can be obtained (or extracted). For example, the management server 900, as shown in FIGS. 901 to 902, each type of business (eg, beauty industry, food service, service industry, distribution industry, education industry, real estate industry) economic effect rankings for each designated ratio (eg : 5%) can be obtained from the database 116 on the sites included in the information. The economic effect may represent sales. For example, the management server 900 determines an industry (eg, clothing industry) for each of a plurality of sites stored in the database 116 , calculates an economic effect for each of the plurality of sites, and in each of the determined industries of the plurality of sites can determine the economic effect of As an example, the management server 900 extracts content from posts included for each of the plurality of sites and identifies information on the industry for each post based on analyzing the extracted content (eg, extracting from the page as described above) industry can be identified) by analyzing the content Based on the identification operation, the management server 900 may calculate the statistics of the industry for each post of each of the plurality of sites, and determine the industry determined as the largest number based on the calculation result as the industry for the site. . The management server 900 sells a product for the industry determined on a specific site, collects information on economic profit for the sold product (eg, increased sales of a specific product), and stores the collected information on the specific site. It can be identified as an economic effect. By performing the above operation for other sites as well, the management server 900 may identify business types for each of the plurality of sites and information on economic effects in the corresponding industries. Accordingly, the management server 900 may acquire information on sites in which an economic effect (eg, increased sales) for each industry is included in a higher specified ratio (eg, 5%).

In an embodiment, the management server 110 trains information on the obtained plurality of sites (eg, funnel information, behavior information, exposure location, and activity period) and information on industries for each of the plurality of sites. The artificial intelligence model 900 may be generated using the data (training data). For example, the management server 110 sets information about a plurality of sites (eg, funnel information, behavior information, exposure location, and activity period) as input data, and sets each of the plurality of sites as input data. 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 thereof will be omitted. It can be processed into a form that can be learned (for example, text information such as information on an inflow path or exposure location is assigned to a specific value that can be operated with a matrix and pre-processed.) According to the learning, the generated artificial intelligence model 900 In response to receiving information 931 (eg, funnel information, behavioral information, exposure location, and activity period) on a specific site, information 932 on weights for each industry will be finally output. For example, the management server 110 weights the industry corresponding to the specific site in response to input of information about the specific site (eg, funnel information, behavioral information, exposure location, and activity period). In response to the input of information on other sites, the operation of giving weights to industries corresponding to other sites may be continuously performed. When information about (eg, funnel information, behavior information, exposure location, and activity period) is input, it includes layers including weight values for calculating it, and information on a specific site in each of the layers (eg, : Finally through the calculation of multiplying the weights for funnel information, behavior information, exposure location, and activity period) Weights for each industry can be output.

According to an embodiment, the management server 110 receives a request for analysis of economic effects in a specific industry for a specific site in operation 803 , and inputs information on the specific site into the artificial intelligence model in operation 804 to output information It is possible to provide economic effect information for specific industries based on For example, as shown in 1001 of FIG. 10 , the management server 110 analyzes economic effect information for a specific industry (eg, type A) along with an analysis request for a specific site (eg, shopping site A). request can be received. In this case, as shown in 1002 of FIG. 10 , the management server 110 collects information on a specific site (eg, shopping site A) collected based on the method of collecting information described above in the “first embodiment” ( For example: funnel information, behavioral information, exposure location, and activity period) are processed into a form that can be entered into the artificial intelligence model 900 (eg, text is assigned to a specific value), and the processed information is pre-implemented artificial intelligence It is possible to identify ( 1021 ) a weight for each type of industry (eg, type A, type B, type C) that is input to and output to the model 900 . 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) ) to calculate or estimate the economic effect (e.g., expected increase in sales) for a specific site (e.g., shopping site A) by multiplying the economic effect (e.g., increased sales) within a specified percentage (e.g., top 5%) of a given industry (e.g., site A) 1022) can be done. As described above, the management server 110 can identify in advance the economic effect of the sites for each industry, so the ratio extracted for implementation of the artificial intelligence model 900 for each industry based on this (eg, top 5%) ) can be calculated in advance for the average economic effect for sites in The management server 110 identifies a weight (eg, 0.72) for a specific industry (eg, type A) output for a specific site (eg, shopping site A) as an expectation of economic effect for a specific type of business, and this By reflecting (eg, multiplying) the calculated average economic effect, it is possible to calculate or estimate the economic effect (eg, expected increase in sales) for a specific site (eg, site A).

3.3. Third embodiment <Example providing a solution for marketing promotion for a site>

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 one embodiment, the management server 110 based on the result output from the artificial intelligence model 900 (eg, a weight for a specific industry), improvement points of a specific site (eg, for marketing promotion in a specific industry) In order for the funnel to be modified, it is possible to perform the action of providing a solution that includes the need to add a certain kind of content within the page creation time.

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 operation of the smart information analysis system shown in FIG. 11 or at least one less operation 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 for a specific site using the artificial intelligence model 900 of the management server 110 according to an embodiment of the present application.

According to an embodiment, the management server 110 corrects some of the information on the specific shopping site in operation 1101 , and inputs the information on the specific shopping site for which the partial information is corrected to the artificial intelligence model to be output to the specific industry. A weight may be obtained, 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, behavior information, By processing and inputting exposure location information, 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 (eg, funnel information, behavioral information, and exposure) on a specific site (eg, site A). location information, activity period information), specific types of information can be modified. 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 effect 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, the management server 110, as shown in 1201 of FIG. 12 , a specific type of funnel information, behavior information, exposure location information, and activity period information for the specific site (eg, site A) (eg: funnel) information can be modified. The modification is performed based on information on a specific type (eg, funnel) of sites within a specified percentage (eg, top 5%) extracted for the creation of the artificial intelligence model 900 of a specific industry (eg, type A). can be For example, the most frequently used keyword included in the funnel information of a specific site (eg, site A) is "cardigan", and the most frequently used keyword of sites within a specified ratio (eg, top 5%) is " In the case of "cardigan for spring", the management server 110 may modify the most frequently used keyword of a specific site (eg, site A) to "cardigan for spring". The management server 110 returns information on a specific site (eg, site A) in which information on the specific type (eg, funnel) is modified to the artificial intelligence model 900 as shown in 1201 of FIG. 12 . By re-entering, a 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 (eg, similarity If it is less than a specified value), the information on the specific type may be corrected, and if it is similar (eg, if the similarity is greater than or equal to a 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 an embodiment, when the obtained weight exceeds a threshold value, the management server 110 analyzes a solution for facilitating the economic effect of a specific site based on the information corrected in operation 1103 , and analyzes the analyzed in operation 1104 . We can provide solution information. For example, as a result, the management server 110 may identify a weight (eg, 0.92) exceeding 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 site (eg, site 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 modifies the funnel information (eg, corrects the most frequently used keyword to "spring cardigan"), when a specific site (eg, site A) creates a post " It is possible to provide a solution to ensure that the keyword "flower pattern cardigan" is added in the post so that it can be searched by "flower pattern cardigan". As another example, the management server 110 uses the portal products that allow a specific site (eg, site A) to be exposed at the top of the search, based on the modified (eg, modified to the top) of the exposure location. We can also provide a solution to

Claims (5)

As a method of operating a server,
Receiving a message for requesting analysis on a specific site from a client server; includes, wherein the message includes identification information on the specific site and information on a specific product,
generating at least one code for collecting at least one of information on an inflow path of users accessing the specific site and behavioral information based on receiving the message; The code includes a tracking code implemented to be insertable in a header part of at least one post of the specific site,
transmitting a message for requesting insertion of the generated at least one code into some posts related to the specific product among a plurality of posts of the specific site to a server of the specific site through a portal server or an SNS server;
Information on the number of views of the partial posts of the specific site collected by the server itself along with at least one of the information on the inflow path or the behavior information collected from the server based on the at least one code receiving; and
Visualizing and providing information about the received information on the inflow path, at least one of the behavior information, and the page view;
how it works. The method of claim 1,
Based on the received message, receiving information on a specific industry related to the specific product;
Including; generating the message for requesting insertion of the at least one code into some posts related to the specific industry among a plurality of posts on the specific site;
how it works. 3. The method of claim 2,
Including; identifying information on at least one first characteristic related to the specific product, wherein the at least one first characteristic includes at least one of a color, a material, a material, a price, and a size,
extracting content included in each of the partial posts associated with the specific industry, and identifying at least one second characteristic corresponding to each of the partial posts based on analyzing the extracted content;
selecting at least one post having at least one characteristic corresponding to the at least one first characteristic associated with the specific product from among the partial postings, based on identifying the at least one second characteristic Including;, the specified number is determined based on the number of the some posts associated with the specific industry,
generating the message for requesting insertion of the at least one code into the selected at least one post among a plurality of posts on the specific site;
how it works. 4. The method of claim 3,
Creating an artificial intelligence model by using, as training data, a plurality of pieces of information on a plurality of sites stored in the server and information on industries corresponding to each of the plurality of sites as training data; In response to receiving the plurality of information on the first site, it is set to output a weight for each of the plurality of industries, and the plurality of information includes information on the inflow path, the behavior information, exposure location information, and information about the duration of the activity;
receiving the plurality of pieces of information about the specific site from the server based at least in part on the at least one code;
In response to inputting the plurality of pieces of information into 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 weights for each of the plurality of industries, and providing information on the economic effect of the specific site calculated based on the identified first weight for the specific industry including;
how it works. 5. The method of claim 4,
identifying information on the industry of each of the plurality of sites based on the content included for each of the plurality of first posts of the plurality of sites;
Among the plurality of pieces of information on the first plurality of sites stored in the server, the obtained information is obtained by obtaining the plurality of pieces of information on the plurality of sites in which economic effects for each of the plurality of industries are included in a specified ratio. using a plurality of pieces of information for learning the artificial intelligence model; and
calculating information on the economic effect of the specific site on the specific type of business based on multiplying the identified first weight by the average economic effect of some sites corresponding to the specific type of business among the plurality of sites; further comprising,
how it works.

Images