KR20120108515A - System and method for advertisement recommandation - Google Patents

Abstract

PURPOSE: An advertisement recommending system and a method thereof are provided to enhance an advertising effect by recommending a next purchasing place by considering a current purchasing place and recommending a service or a product having a stronger purchasing possibility. CONSTITUTION: A user terminal(100) obtains service information of a current purchasing place, place information, and a service link including a URL(Uniform Resource Locator) from computing elements. If the user terminal connects to the service link, a recommended advertisement server(200) determines a recommended advertisement of an expected next purchasing place by considering a connection time of the user terminal, the service information, and the place information. [Reference numerals] (AA) Registering an advertising material; (BB) Paying an advertising rate; (CC) Purchasing place information; (DD) Advertisement contents; (EE) NFC, a QR code, and a 2D code; (FF) WiFi, Bluetooth; (GG) Purchasing place; (HH) Computing elements

Description

System and Method for Advertisement Recommandation}

The present invention relates to an advertisement recommendation method, and more particularly, to an advertisement recommendation system and method capable of providing an advertisement for recommending a service in consideration of a user's location.

In recent years, with the proliferation of mobile and ubiquitous infrastructures, advertising services have evolved to be customized.

Conventional customized services have provided services that provide product or service information in the vicinity of the user based on preference information or location information.

However, the conventional service has been a passive form of providing information of stores located around the keyword according to a pre-entered keyword. Therefore, the conventional service requires a process of inputting a keyword desired by the user every time, and does not consider the user's purchase history information or the like at all.

The present invention has been made in the technical background as described above, and an object of the present invention is to provide an advertisement recommending system and method that can provide information of the next expected purchase place in consideration of the information of the current purchase place.

According to an aspect of the present invention, an advertisement recommendation system includes a computing element including a Near Field Communication (NFC), a Quick Response Code (QR) code, a barcode, a wireless fidelity (WiFi) access point, or a Bluetooth module installed in a current purchase place; A user terminal obtaining from the computing element a service link including service information of the current purchase place, place information, and a Uniform Resource Locator (URL); When the user terminal accesses the service link, a recommendation advertisement for a prospective purchase place is determined among advertisements for a purchase place registered by an advertiser in consideration of the service information, the place information, and the access time of the user terminal. Characterized in that it comprises a recommendation advertising server provided to the user terminal.

According to another aspect of the present invention, an advertisement recommendation method includes a URL of a recommended advertisement server from a computing element including an NFC, a QR code, a two-dimensional barcode, a WiFi access point or a Bluetooth module installed at a current purchase place, and a place of the current purchase place. Confirming information of the current purchase place including at least one of information and service information of the current purchase place; Transmitting the place information, the service information, and the user's information to the recommendation advertisement server through the URL; The recommendation advertisement server receives the recommendation advertisement, which is determined and sent to the prospective purchase place after considering the place information, the service information, the information of the user, and the information of a neighboring customer who is similar to the user. Making; And recommending the expected purchase place to the user by displaying the recommended advertisement.

Advertising recommendation method according to another aspect of the present invention, collected by the terminal through a computing element including NFC, Quick Response Code, two-dimensional barcode, WiFi access point or Bluetooth module installed in the current purchase place Receiving location information and service information of the current purchase place; And determining a recommendation advertisement for an expected purchase place and providing the terminal to the terminal in consideration of at least one of the place information, the service information, the reception time of each information, and the user information owning the terminal. It features.

According to the present invention, by analyzing the content of the item to analyze the similarity between the item and the item, the item and the user preferences based on the analysis results similar to CBR (Content-Based Recommendation) and similar to the taste of one user The advertisement can be maximized by recommending the service in a hybrid method combining CF (Collaborative Filtering) that collects the tastes of other users and predicts the preference for the item.

Also, since the present invention recommends a purchase place after considering the current purchase place, it is possible to solve the problem of repeatedly recommending a previous purchase place in the conventional location-based advertisement, and to provide goods / services that are likely to be purchased by the user. Recommends can increase advertising effectiveness.

1 is a block diagram showing an advertising recommendation system according to an embodiment of the present invention.
Figure 2 is a block diagram showing in detail the recommended advertising server according to an embodiment of the present invention.
3 is a flowchart illustrating an advertisement recommendation method according to an embodiment of the present invention.
4 is an exemplary view showing an advertisement recommendation method according to an embodiment of the present invention.

Advantages and features of the present invention, and methods of achieving the same will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in various forms, and only the present embodiments are intended to complete the disclosure of the present invention, and the general knowledge in the art to which the present invention pertains. It is provided to fully convey the scope of the invention to those skilled in the art, and the present invention is defined only by the scope of the claims. It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. As used herein, the terms " comprises, " and / or "comprising" refer to the presence or absence of one or more other components, steps, operations, and / Or additions.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. 1 is a block diagram showing an advertising recommendation system according to an embodiment of the present invention.

As shown in FIG. 1, the advertisement recommendation system 10 according to an embodiment of the present invention includes a recommendation advertisement server 200 and a user terminal 100.

The advertiser registers information of a product or service on sale, such as a business name, a product name, a product / service use, etc., in the recommended advertisement server 200 in order to advertise the product or service. In this case, the recommended advertisement server 200 may prepaid an advertisement fee to the advertiser, and may postpaid the advertisement every time the advertisement is clicked, the coupon is downloaded, or the transaction occurs.

The advertising provider installs computing elements such as near field communication (NFC), quick response code (QR) code, two-dimensional barcodes, wireless fidelity (WiFi) access points, and Bluetooth modules in their stores. And a service link including the URL of the recommended advertisement server 200 to the user terminal 100 through the computing element.

The user terminal 100 is, for example, a smartphone, a Uniform Resource Locator (URL) address of the recommended advertisement server 200 which communicates with a computing element installed at a primary purchase place where a product or service is being purchased and recommends an expected secondary purchase place. Check and connect to the link. A communication method of the user terminal 100 and the computing element will be described later.

Here, the system of the service link may be configured differently according to the computing element characteristic and the service characteristic, and may be configured by, for example, a system of "http: // recommended advertisement server URL / place information / service information".

Then, the recommendation advertisement server 200 determines the recommendation advertisement for the expected second purchase place in consideration of the information of the first purchase place and the access time, and provides the recommended advertisement to the user terminal 100. Here, the recommended advertisement may be a link of a plurality of expected purchase places, or text or an image including information.

At this time, the recommended ad server 200 is a record of the advertising content previously confirmed by the user, the downloaded coupon, the user information (user's demographic (Demographic, age, gender), past) of the user owning the user terminal 100, Purchase history, types of advertisements associated with past purchases, types of coupons downloaded, etc., information about neighbors with similar user preferences (such as demographics, interests, types of advertisements associated with past purchases, types of coupons, etc.) ) Can be further considered to improve the accuracy of the ad.

The user terminal 100 determines a second purchase place among the recommended advertisements for the expected second purchase place, and downloads a discount coupon for the determined second purchase place. Here, the recommended advertisement may be provided in the form of advertisement content registered by the advertiser. At this time, the recommended advertisement server 200 checks the advertising effect and bills the advertiser for advertising costs.

In addition, the user terminal 100 moves to the second purchase place where the coupon is downloaded with the user, purchases an item or a service, and makes a payment corresponding thereto. In this case, the recommended advertisement server 200 may provide an incentive to the shop owner of the first purchase place connected to sales by advertising the second purchase place.

Meanwhile, the user terminal 100 may receive a recommendation advertisement and a discount coupon for the expected second purchase place from the recommendation advertisement server 200 by using a separate application, and recommend the advertisement server through SMS / MMS. From 200 may be provided with the recommended advertisement and discount coupon of the expected second purchase place.

Hereinafter, a detailed configuration of a recommended advertisement server according to an embodiment of the present invention will be described with reference to FIG. 2. 2 is a block diagram showing in detail the recommended advertisement server according to an embodiment of the present invention.

As shown in FIG. 2, the recommendation advertisement server 200 includes an advertiser platform 210, an administrator platform 230, a service recommendation module 220, an advertisement DB 241, an advertiser DB 242, an advertisement execution DB. 244 and analysis information DB 243. The advertisement DB 241, the advertiser DB 242, the advertisement execution DB 244, and the analysis information DB 243 may be configured as a single device.

The advertiser platform 210 stores the advertisement in the advertisement DB 241 when the advertiser registers the advertisement, manages the advertisement execution, and supports the payment of the advertisement fee. In this case, the advertiser platform 210 stores advertiser information and advertisement cost information in the advertiser DB 242.

The manager platform 230 supports the network administrator to execute the entire advertisement, and stores information on the advertisement execution in the advertisement execution DB 244.

The service recommendation module 220 executes a service recommendation algorithm to provide an expected second purchase place suitable for the user, and stores the service recommendation process or result information for one user in the analysis information DB 243.

The service recommendation module 220 predicts the user preference (user_preference) through the association between the user and the advertisement, and provides a recommendation advertisement for the expected second purchase place in the order of the high predicted preference.

As described above, the present invention analyzes the content of an item and analyzes the similarity between the item and the item, the item and the user's preference, and recommends a new item based on the analysis result and the taste of one user and Advertisement can be maximized by a hybrid recommendation method that combines collaborative filtering (CF), which combines the tastes of similar users and predicts the preference for the item.

Hereinafter, an advertisement recommendation method according to an embodiment of the present invention will be described with reference to FIG. 3. 3 is a flowchart illustrating an advertisement recommendation method according to an embodiment of the present invention.

Referring to FIG. 3, an advertiser accesses the recommended advertisement server 200, registers an advertisement, and pays an advertisement fee (S311).

In addition, the advertiser installs a computing element at a specific place for advertising his product / service (S312).

Thereafter, the user terminal 100 acquires a service link automatically or manually by using a method corresponding to the computing element in the first purchasing place (Computing Factor Embedded Space) in which the computing element is installed (S320).

Next, the user terminal 100 accesses the service link and requests information on the expected second purchase place (S330).

Subsequently, the recommendation advertisement server 200 determines a recommendation advertisement for the expected second purchase place by using at least one of the first purchase place, the request time, the user information, and the neighboring customer information similar to the user, through the service recommendation algorithm. In operation S340, the recommended advertisement is provided to the user terminal 100 (S350).

The user terminal 100 confirms the recommended advertisement for the expected second purchase place, moves to the desired second purchase place among them, and purchases a product or service sold at the second purchase place (S361). In this case, the user terminal 100 may download a discount coupon that can be used at the second purchase place from the recommended advertisement server 200 (S362).

The recommended ad server 200 confirms the occurrence of sales at the second purchase place included in the recommended advertisement, charges an advertisement fee to the second purchase place or the advertiser (S371), or provides an incentive to the first purchase place ( S372).

Hereinafter, an example of using the advertisement recommendation method according to an embodiment of the present invention will be described with reference to FIG. 4. 4 is an exemplary view showing an advertisement recommendation method according to an embodiment of the present invention.

Referring to Figure 4, Mr. Octacom decided to have dinner with colleagues at a long time and visit the regular loyalty "techno pork belly". At the end of the dinner, Mr. Octacom communicates with computing elements (NFC, QR code, WiFi access point, Bluetooth module, etc.) with his smartphone (100), such as the industry / business of “techno pork belly” Obtain information and a link of the recommended advertisement server 200.

For example, Mr. Octacom may read the NFC tag attached to the table with the smartphone 100 or scan the QR code attached to the table to obtain a link of the recommended advertisement server 200. Alternatively, Octacom may be connected to a WiFi access point that is installed in a store using a smartphone to provide an advertisement or communicate with a Bluetooth module of a cash register to obtain a link.

When Octacom's smartphone 100 is connected to the link, the recommended ad server 200 in consideration of the company information and request time of the "techno pork belly" recommended advertisements for the expected second purchase place, such as pub, karaoke Determine and provide to the smartphone (100).

And, Octacom's smart phone 100, after selecting the "Valley Hof" from the Hope House ads download discount coupons. At this time, the recommended advertisement server 200 confirms that the "Valley Hope" is advertised through the corresponding service, and imposes an advertising fee on the "Valley Hope".

After that, Mr. Octacom visits "Valley Hope", spends a good time with his co-workers, and uses the downloaded discount coupon to make a low-cost payment. At this time, the recommendation ad server 200 confirms that "Valley Hope" is advertised by "techno pork belly" and pays an incentive to "techno pork belly".

In addition, Mr. Octacom communicates with the computing elements (NFC, QR code, WiFi, Bluetooth, etc.) of "Valley Hope" with the smartphone 100 to link the company information of "Valley Hope" and the recommended advertisement server 200. Acquire.

When Octacom's smartphone 100 accesses the link address, the recommendation advertisement server 200 provides a recommendation advertisement for a third expected purchase place such as a surrogate operation, call taxi, and wake-up service.

Octacom Mr. asks the surrogate operation service by selecting the "IT surrogate operation" from the surrogate operation advertisement through the smartphone (100). In addition, Octacom's smartphone to the "good morning call service" to the morning call at 7 o'clock morning to apply for the service. In this case, the recommended advertisement server 200 charges an advertising fee to the "IT surrogate operation" and "good morning call service".

Thereafter, when Mr. Octacom pays for "IT surrogate operation" and "good morning call service", the recommendation advertisement server 200 provides incentives for "techno pork belly" and "valleyhof".

In the above-described example, the smartphone 100 is connected with the computing element according to the user's will and has been described as an example of receiving a recommendation for a purchase place thereafter. ) Can recommend the place of purchase after receiving the user's payment from the carrier or card company.

For example, when the smartphone 100 checks a payment approval message for a user purchase, the smartphone 100 may transmit information of a current purchase place linked thereto, and receive a recommendation advertisement for an expected second purchase place corresponding thereto. Can be. Alternatively, the smartphone 100 may transmit information of the current purchase place when an application providing a service for recommending a purchase place is executed by the user, and receive a recommendation advertisement for an expected purchase place thereafter. Can be.

Meanwhile, each purchase place may be a park, a city, a tourist attraction, a school, or the like, which does not directly sell goods or services. In such a case, the goods and services related to the next purchase of the user may be recommended in consideration of the characteristics of the current place.

As such, since the present invention recommends a purchase place after considering the current purchase place, it is possible to solve the problem of repeatedly recommending the previous purchase place in the conventional location-based advertisement, and the goods / services that are likely to be purchased by the user. By recommending it can increase the advertising effect.

While the present invention has been described in detail with reference to the accompanying drawings, it is to be understood that the invention is not limited to the above-described embodiments. Those skilled in the art will appreciate that various modifications, Of course, this is possible. Accordingly, the scope of protection of the present invention should not be limited to the above-described embodiments, but should be determined by the description of the following claims.

Claims (10)

A computing element including a near field communication (NFC), a quick response code (QR) code, a barcode, a wireless fidelity (WiFi) access point or a Bluetooth module installed in a current purchase place;
A user terminal obtaining from the computing element a service link including service information of the current purchase place, place information, and a Uniform Resource Locator (URL); And
When the user terminal accesses the service link, a recommendation advertisement for a prospective purchase place is determined among advertisements for a purchase place registered by an advertiser in consideration of the service information, the place information, and the access time of the user terminal. Recommended ad server provided to the user terminal
Ad recommendation system comprising a. The method of claim 1, wherein the recommended ad server,
Advertisement recommendation system for determining the recommendation advertisement further considering the age, gender, interests, past purchase history and past use coupons of the user owning the user terminal, the information of neighboring customers with a similar tendency to the user. The method of claim 1, wherein the recommended ad server,
When a purchase occurs at the expected purchase place, an incentive is provided to the current purchase place that provides the advertisement, and when the user pays a postpay payment with the advertiser, the advertisement effect is checked, and the advertisement fee is charged to the advertiser. Advertising recommendation system. The method of claim 1, wherein the recommended ad server,
An advertiser platform for registering advertisements for the advertiser, setting advertisement conditions, and managing performance of an advertisement;
An administrator platform, which is an interface for the administrator's advertisement checking and advertisement management;
Advertisement database for storing the advertisement, the advertisement condition, the performance of the advertisement, the offer history of the recommended advertisement, the service information and the place information
Ad recommendation system comprising a. The method of claim 1, wherein the user terminal,
And confirm the place information and the service information by communicating with the computing element to confirm the place information and the service information, receive an SMS / MMS, or execute a separate program. As a method for recommending advertisements by a terminal of a user,
Uniform Resource Locator (URL) of the referral ad server from computing elements including Near Field Communication (NFC), Quick Response Code (QR code), 2-D barcode, Wireless fidelity (WiFi) access point or Bluetooth module installed at the current point of purchase. Checking information on a current purchase place including at least one of information on a place of the current purchase place and service information on the current purchase place;
Transmitting the place information, the service information, and the user's information to the recommendation advertisement server through the URL;
The recommendation advertisement server receives the recommendation advertisement, which is determined by the placement information, the service information, the information of the user, and the information of a neighboring customer who has a similar tendency with the user, and then determines a recommendation advertisement for an expected purchase place. Doing; And
Displaying the recommended advertisement to recommend the expected purchase place to the user
Ad recommendation method comprising a. The method of claim 6, wherein the checking step,
Confirming the place information and the service information from the computing element;
Confirming the place information and the service information linked to the payment approval message by the terminal receiving a payment approval message according to the payment in the current purchase place; And
Confirming the place information and the service information linked with the application as the terminal executes an application;
Advertising recommendation method comprising at least one of. As a server recommendation method,
The current purchase place collected by the terminal through a computing element including a near field communication (NFC), a quick response code (QR code), a two-dimensional barcode, a wireless fidelity (WiFi) access point, or a Bluetooth module installed at the current purchase place. Receiving location information and service information of the; And
Determining a recommendation advertisement for an expected purchase place and providing the terminal to the terminal in consideration of at least one of the place information, the service information, the reception time of each information, and the user information owning the terminal.
Ad recommendation method comprising a. 9. The method of claim 8,
Providing an incentive to the current purchase place when an advertisement charge is imposed on the expected purchase place including a coupon download by the terminal or a purchase occurrence at the expected purchase place by the user through the recommendation advertisement;
Advertising recommendation method further comprising. The method of claim 8, wherein the determining and providing the terminal to the terminal comprises:
The recommendation in consideration of the user information including the place information, the service information, the reception time and age of the user, some genders, interests, previous purchase information, and coupon download information, and similar customer information similar to the user. Steps to determine your ad
Advertising recommendation method that includes.

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