KR20240077762A - System and method for providing customized advertisement based on big data analysis - Google Patents

Abstract

It is a system that provides customized advertisements through big data analysis. It is a member terminal that receives consent to collect personal information and user information from the user. When a signal for consent to collection of user information is received from the member terminal, An online information provision server that collects and stores online user information, an offline information provision server that collects and stores offline user information generated by the user when a signal for consent to collection of the user information is received from the member terminal, a plurality of Receive the personal information from an advertising agency server that transmits advertisements and the member terminal, receive the online user information from the online information provision server, receive the offline user information from the offline information provision server, and receive the personal information from the online information provision server. Information, online user information, and offline user information are analyzed to extract the user's preference, and among the plurality of advertisements received from the advertising agency server, an advertisement matching the user's preference is extracted, and the user's preference is extracted. An advertisement providing system including a member management server that transmits a matching advertisement to the member terminal is provided.

Description

System and method for providing customized advertisements based on big data analysis {SYSTEM AND METHOD FOR PROVIDING CUSTOMIZED ADVERTISEMENT BASED ON BIG DATA ANALYSIS}

The present invention relates to a system and method for providing customized advertisements to users using big data analysis.

In the past, there was a problem that the user's personal information was not properly protected by indiscriminately collecting the user's computer or mobile usage information and providing advertisements without the user's consent.

Additionally, in the past, there was a problem of causing user inconvenience by exposing advertisements to users indiscriminately.

Accordingly, there is a need for technology that can provide customized advertisements in consideration of user preferences.

The technical problem to be achieved by the present invention is to provide a system and method for providing customized advertisements to users based on user information collected online and offline.

According to an embodiment of the invention, a system for providing customized advertisements through big data analysis is provided. The advertisement provision system includes a member terminal that receives consent to collect personal information and user information from the user, and upon receiving a signal of consent to collect user information from the member terminal, collects and stores online user information generated by the user. An online information provision server, an offline information provision server that collects and stores offline user information generated by the user upon receiving a signal for consent to collection of the user information from the member terminal, an advertising agency server that transmits a plurality of advertisements, and receiving the personal information from the member terminal, receiving the online user information from the online information providing server, and receiving the offline user information from the offline information providing server, and receiving the personal information, online user information, and offline user information. Analyze user information to extract the user's preferences, extract advertisements matching the user's preferences from among the plurality of advertisements received from the advertising agency server, and send advertisements matching the user's preferences to the member terminal. Includes a member management server that transmits.

The online user information may include cookie information of the website accessed by the user, search keywords entered by the user on a web browser, and a history of items purchased from an open market site accessed by the user.

The offline user information may include order item history provided from an unmanned terminal that provides ordering and payment services in conjunction with the member terminal.

The personal information may include at least one of the user's gender, age, occupation, and preferred product.

When the member management server receives a request signal to delete the personal information, online user information, and offline user information from the member terminal, it can delete the personal information, online user information, and offline user information.

According to one embodiment, a member management server that provides customized advertisements through big data analysis is provided. The member management server receives a signal from a member terminal that receives personal information and user information collection consent from the user, a personal information storage unit that receives and stores the personal information, and a signal for consent to collect user information from the member terminal, A user information collection unit that receives online user information from an online information provision server and offline user information from an offline information provision server, an advertisement collection unit that receives multiple advertisements from an advertising agency server, the personal information, online user information, and A big data analysis unit that analyzes offline user information to extract the user's preferences, an advertisement matching unit that extracts advertisements matching the user's preferences from among the plurality of advertisements, and an advertisement that matches the user's preferences to the member. It includes an advertisement providing unit that transmits to the terminal.

When the member management server receives a request signal to delete the personal information, online user information, and offline user information from the member terminal, the personal information stored in the personal information storage unit and the online user information stored in the user information collection unit And it may further include a control unit that deletes offline user information.

The online user information includes cookie information of the website accessed by the user, search keywords entered by the user on the web browser, and the history of products purchased from the open market site accessed by the user, and the offline user information includes the It may include order item history provided from an unmanned terminal that provides ordering and payment services in conjunction with a member terminal.

The personal information may include at least one of the user's gender, age, occupation, and preferred product.

According to an embodiment of the present invention, a method is provided in which a member management server provides customized advertisements to member terminals through big data analysis. The advertisement providing method includes receiving and storing the personal information from a member terminal that receives personal information and user information collection consent from the user, and providing online information when a signal for consent to the user information collection is received from the member terminal. Receiving online user information from a server and receiving offline user information from an offline information provision server, analyzing the personal information, online user information, and offline user information to extract the user's preference, receiving from an advertising agency server It includes extracting an advertisement that matches the user's preferences from among the plurality of advertisements, and transmitting an advertisement that matches the user's preferences to the member terminal.

By providing customized advertisements based on user preferences, advertising marketing effectiveness can be maximized.

Additionally, by providing customized advertisements based on user preferences, exposure to unwanted advertisements can be reduced.

In addition, the user's online and offline activities can be continuously analyzed through big data to immediately identify the user's interests.

Additionally, by collecting and utilizing user information with the user's consent, user animosity toward advertising exposure can be reduced, thereby increasing marketing effectiveness.

Additionally, since users can delete collected user information at any time if they wish, sound online marketing activities are possible.

1 is a block diagram of an advertisement providing system according to an embodiment of the present invention.
Figure 2 is a block diagram of a member management server of an advertisement providing system according to another embodiment of the present invention.
3 and 4 are flowcharts of an advertisement providing method according to another embodiment of the present invention.

Below, with reference to the attached drawings, embodiments of the present invention will be described in detail so that those skilled in the art can easily implement the present invention. However, the present invention may be implemented in many different forms and is not limited to the embodiments described herein. In order to clearly explain the present invention in the drawings, parts unrelated to the description are omitted, and similar parts are given similar reference numerals throughout the specification.

Throughout the specification, when a part “includes” a certain element, this means that it may further include other elements rather than excluding other elements, unless specifically stated to the contrary.

1 is a block diagram of an advertisement providing system according to one embodiment. Figure 2 is a block diagram of a member management server of an advertisement providing system according to an embodiment. 3 and 4 are flowcharts of a method for providing advertisements according to an embodiment.

Referring to Figure 1, the advertisement provision system according to one embodiment includes a member terminal 100, an online information provision server 200, an offline information provision server 300, an advertising agency server 400, and a member management server 500. , and an unmanned terminal 600.

The member terminal 100 receives consent to collect personal information and user information from the user.

As an embodiment of the present invention, the user may enter consent to the collection of personal information and user information at the donation company's membership registration stage.

As an embodiment of the present invention, personal information may include at least one of the user's gender, age, occupation, and preferred product.

As an embodiment of the present invention, the member terminal 100 is a memory device such as a mobile communication terminal, a desktop computer, a laptop computer, a workstation, a palmtop computer, a personal digital assistant (PDA), a web pad, etc. It may be a digital device equipped with a microprocessor and capable of computing.

When the online information provision server 200 receives a signal for consent to collection of user information from the member terminal 100, it collects and stores online user information generated by the user.

As an example, the online information provision server 200 may be a search engine server such as Naver, Daum, or Google.

As an example, online user information may include cookie information of a website accessed by the user, search keywords entered by the user on a web browser, and a history of items purchased from an open market site accessed by the user.

By collecting user information from the online information provision server 200 only when the user consents to the collection of user information, indiscriminate collection of information by users can be prevented.

When the offline information provision server 300 receives a signal for consent to user information collection from the member terminal 100, it collects and stores offline user information generated by the user.

As an example, the offline information provision server 300 may be a server that manages the unmanned terminal 600 that provides ordering and payment services in conjunction with the member terminal 100. As an example, the unmanned terminal 600 may be an unmanned payment machine such as a kiosk or an unmanned ordering machine.

As an example, offline user information may include order item history provided from the unmanned terminal 600. As an embodiment of the present invention, a user can order products from an offline store by scanning the QR code output by the unmanned terminal 600 using the member terminal 100. The offline information provision server 300 may collect and store information such as item history, order time, and order price ordered through the member terminal 100 from the unmanned terminal 600.

The offline information provision server 300 is an embodiment, and includes details of points for purchasing products at offline stores accumulated by the user through an application of the member terminal 100, and offline information entered by the user through an application of the member terminal 100. It may be a store management server that collects and stores information about purchase reviews for the store, etc.

The offline information provision server 300 is an embodiment of the present invention, and provides product item information entered by the user by accessing the offline store's automatic response system (Audio Response System, ARS) through the member terminal 100 (telephone network connection). It may be a store management server that collects and stores.

The offline information provision server 300 collects user information only when the user agrees to the collection of user information, thereby preventing the user from indiscriminately collecting information.

The advertising agency server 400 transmits a plurality of advertisements requested from advertisers to the member management server 500. As an example, the advertising agency server 400 may transmit advertisements for online product sales companies such as open markets, offline stores, magazine companies, public transportation, and home shopping to the member management server 500.

The member management server 500 receives personal information from the member terminal 100, receives online user information from the online information provision server 200, receives offline user information from the offline information provision server 300, and receives personal information from the member terminal 100. The user's preferences are extracted by analyzing information, online user information, and offline user information, and among the plurality of advertisements received from the advertising agency server 400, advertisements matching the user's preferences are extracted, and advertisements matching the user's preferences are extracted. An advertisement is transmitted to the member terminal 100.

As an embodiment of the present invention, the member management server 500 receives a request signal to delete personal information, online user information, and offline user information from the member terminal 100, and collects the personal information, online user information, and offline user information. can be deleted.

Referring to Figure 2, the member management server 500 includes a personal information storage unit 510, a user information collection unit 520, an advertisement collection unit 530, a big data analysis unit 540, and an advertisement matching unit 550. , an advertisement providing unit 560, and a control unit 570.

The personal information storage unit 510 receives and stores personal information from the member terminal 100, which receives the user's consent to collect personal information and user information.

When the user information collection unit 520 receives a signal for consent to user information collection from the member terminal 100, it receives and stores online user information from the online information provision server 200 and collects the information from the offline information provision server 300. Receive and store offline user information.

As an example, the user information collection unit 520 may receive online user information and offline user information from the online information provision server 200 and the offline information provision server 300, respectively, using API technology. Through this, it is possible to standardize the communication method and data format with the online information provision server 200 and the offline information provision server 300.

The advertisement collection unit 530 receives a plurality of advertisements from the advertisement agency server 400. The advertisement collection unit 530 may classify the plurality of advertisements received by field or characteristic.

The big data analysis unit 540 extracts user preferences by analyzing personal information, online user information, and offline user information. As an example, big data analysis technology may include predictive analysis, time series analysis, rare analysis, cluster analysis, correlation analysis, and classification analysis technology.

The advertisement matching unit 550 extracts an advertisement that matches the user's preferences from among a plurality of advertisements. For example, if it is determined that the user has a high preference for shoe products as a result of analyzing the user's personal information, online user information, and offline user information, the advertisement matching unit 550 receives the information from the advertising agency server 400. Among multiple advertisements, only advertisements for shoe products can be extracted.

The advertisement provider 560 transmits an advertisement matching the user's preferences to the member terminal.

The present invention collects and utilizes user information with the user's consent, thereby reducing user animosity toward advertisement exposure and maximizing marketing effectiveness by providing selected advertisements to users.

When the control unit 570 receives a request signal to delete personal information, online user information, and offline user information from the member terminal 100, the personal information stored in the personal information storage unit 510 and the user information collection unit 520 are stored. Delete online and offline user information. Since users can delete collected user information at any time if they wish, healthy online marketing activities are possible.

Referring to FIGS. 1, 3, and 4, the advertisement providing method in which the member management server 500 provides customized advertisements to the member terminal 100 through big data analysis according to one embodiment includes personal information from the user. And a step of receiving and storing personal information from the member terminal 100 that receives user information collection consent (S100). When a signal for user information collection consent is received from the member terminal 100, the online information provision server 200 Receiving online user information from and receiving offline user information from the offline information provision server 300 (S200); Analyzing personal information, online user information, and offline user information to extract user preferences (S300) , extracting an advertisement matching the user's preference from among a plurality of advertisements received from the advertising agency server 400 (S400), and transmitting an advertisement matching the user's preference to the member terminal 100 (S500). Includes.

Since the advertisement providing method according to an embodiment of the present invention is the same as the operation of the member management server 500 described above, detailed description is omitted.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements made by those skilled in the art using the basic concept of the present invention defined in the following claims are also possible. It falls within the scope of rights.

The present invention relates to a system and method for providing customized advertisements based on big data analysis, and can be used in various customized advertisement providing systems and methods.

Claims (9)

As a system that provides customized advertising through big data analysis,
Member terminal that receives consent to collect personal information and user information from the user;
an online information provision server that collects and stores online user information generated by the user upon receiving a signal for consent to collection of the user information from the member terminal;
an offline information provision server that collects and stores offline user information generated by the user when a signal for consent to collection of the user information is received from the member terminal;
An advertising agency server that transmits a plurality of advertisements; and
Receive the personal information from the member terminal, receive the online user information from the online information provision server, receive the offline user information from the offline information provision server, and receive the personal information, online user information, and offline user information. Analyze information to extract the user's preferences, extract advertisements matching the user's preferences from among the plurality of advertisements received from the advertising agency server, and transmit advertisements matching the user's preferences to the member terminal. Includes a member management server that
The offline user information includes order item history, order time, and order price provided from an unmanned terminal that provides ordering and payment services in conjunction with the member terminal,
The offline information provision server collects and stores point details for product purchases at offline stores accumulated through the application of the member terminal and purchase review information about offline stores entered through the application of the member terminal, and when the user An advertising provision system that collects and stores product item information entered by accessing an offline store's automatic response system (ARS) through the member terminal. According to paragraph 1,
The online user information is,
An advertisement provision system including cookie information of the website accessed by the user, search keywords entered by the user on the web browser, and history of items purchased from the open market site accessed by the user. According to paragraph 1,
The above personal information is,
An advertisement providing system that includes at least one of the user's gender, age, occupation, and preferred product. According to paragraph 1,
The member management server is,
An advertisement providing system that deletes the personal information, online user information, and offline user information when receiving a request signal to delete the personal information, online user information, and offline user information from the member terminal. As a member management server that provides customized advertisements through big data analysis,
A personal information storage unit that receives and stores the personal information from a member terminal that receives consent to collect personal information and user information from the user;
a user information collection unit that receives online user information from an online information provision server and offline user information from an offline information provision server when a signal for consent to collection of user information is received from the member terminal;
An advertisement collection unit that receives a plurality of advertisements from an advertising agency server;
a big data analysis unit that analyzes the personal information, online user information, and offline user information to extract the user's preferences;
an advertisement matching unit that extracts an advertisement that matches the user's preferences from among the plurality of advertisements; and
It includes; an advertisement providing unit that transmits an advertisement matching the user's preferences to the member terminal;
The offline user information includes order item history provided from an unmanned terminal that provides ordering and payment services in conjunction with the member terminal,
The offline information provision server collects and stores point details for product purchases at offline stores accumulated through an application on the member terminal and purchase review information on offline stores entered through an application on the member terminal,
A member management server that collects and stores product item information entered by the user by accessing the offline store's automatic response system (ARS) through the member terminal. According to clause 6,
When a signal requesting deletion of the personal information, online user information, and offline user information is received from the member terminal, the personal information stored in the personal information storage unit and the online user information and offline user information stored in the user information collection unit are deleted. A member management server further comprising a control unit for deleting. According to clause 6,
The online user information includes cookie information of the website accessed by the user, search keywords entered by the user on the web browser, and a history of items purchased from an open market site accessed by the user. A member management server. According to clause 8,
The personal information includes at least one of the user's gender, age, occupation, and preferred product. A method in which the member management server provides customized advertisements to member terminals through big data analysis,
Receiving and storing the personal information from a member terminal that receives consent to collect personal information and user information from the user;
Upon receiving a signal for consent to collect user information from the member terminal, receiving online user information from an online information providing server and receiving offline user information from an offline information providing server;
extracting the user's preferences by analyzing the personal information, online user information, and offline user information;
extracting an advertisement matching the user's preferences from among a plurality of advertisements received from an advertising agency server; and
Including; transmitting an advertisement matching the user's preferences to the member terminal,
The offline user information includes order item history, order time, and order price provided from an unmanned terminal that provides ordering and payment services in conjunction with the member terminal,
The offline information provision server collects and stores point details for product purchases at offline stores accumulated through an application on the member terminal and purchase review information on offline stores entered through an application on the member terminal,
An advertisement providing method that collects and stores product item information entered by a user by accessing an offline store's automatic response system (ARS) through the member terminal.