KR20150061082A - System, apparatus and mehtod for performing product recommendation based on personal information - Google Patents

Abstract

A system, an apparatus, and a method for recommending a product based on personal information are disclosed. The apparatus for recommending a product based on personal information according to an embodiment of the present invention comprises: a communications unit to receive, personal information of a plurality of customers and a purchase history and transmit product recommendation information to a user terminal device via a wired/wireless network; a group generation and storage unit, wherein a plurality of customer groups and a plurality of product groups belonging to each customer group are generated, a product included in the purchase history is reflected in at least one product group among the product groups, and the customer groups and the product groups are stored; a customer group acquisition unit to search the group generation and storage unit to acquire a customer group among the customer groups matching user personal information of the user terminal device if a product recommendation request is received from the user terminal device; a product recommendation unit to extract products of product groups belonging to the acquired customer group to generate product recommendation information; and a control unit to control operations of the communications unit, the group generation and storage unit, the customer group acquisition unit, and the product recommendation unit and data transfers therebetween. The control unit generates the plurality of customer groups based on the personal information and the product groups belonging to each customer group by product types.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system,

The present invention relates to a product recommendation system and method, and more particularly, to a product recommendation system and method, in which statistical analysis is performed using personal information of a plurality of customers and a purchase history to generate various types of customer groups and product groups belonging thereto, And more particularly, to a personal information based product recommendation system, an apparatus, and a method for acquiring the customer group matching the user's personal information of the user terminal device and outputting recommended product information when the request is received.

According to the present invention, there is an effect of classifying and accumulating personal information and purchasing history of a plurality of customers according to various criteria and recommending a product to customers having similar personal information, and providing product information suited to the lifestyle of the customer .

As the marketing environment rapidly changes from the industrial society to the information society, as the lifestyles of customers diversify and the culture that emphasizes individuality spreads, the competition among companies is becoming more intense to attract these customers.

On the other hand, as e-commerce services that can purchase goods through wired / wireless networks such as the Internet are active, shopping malls selling various commodities are increasing rapidly.

These shopping malls provide information on various goods such as clothes, sundries, household appliances, music, movies, etc. Most products include images of the goods, such as description, price, manufacturer, seller, discount information, So that the customer can refer to the purchase of the product.

The electronic commerce system according to the related art is provided by providing product information to be sold on a shopping mall site to customers, and after customers confirm the provided product information, they purchase the desired product.

Accordingly, in the reality that a huge amount of product information is provided in order to meet various demands of customers, customers are having difficulty in spending a lot of time searching for and selecting a desired product. The hassle of purchasing these items has become a major cause of lowering customer satisfaction and willingness to return.

In addition, marketing using conventional statistical data is performed in such a manner that contents are built after aggregating the questionnaires directly written by the customer. However, in this manner, the database that performs statistics and analysis on the data collected from customers is merely a structural output of the statistics, and reflects the individual consumers' And functions such as consumer demand analysis are not provided.

In addition, although consumers' consumption patterns are greatly influenced by personal information including age, gender, occupation, hobbies, marital status, presence of children, etc., customers who have similar personal information from personal information and purchase history The technology that can support the customer's consumer life has not been developed yet.

Accordingly, there is a growing demand for a technology capable of grouping customers variously on the basis of personal information per customer, and recommending products through consumption tendencies of other customers belonging to the same community as a specific customer.

Korean Patent Laid-Open Publication No. 2001-0103058: Micro-target system for effective marketing of target marketing information (2001.11.23)

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems of the prior art, and it is an object of the present invention to provide a method and system for grouping multiple customers based on personal information, We want to be able to share the form.

In addition, by providing electronic coupons that can be applied to product recommendation information provided to customers, it is desired that the customer obtains better benefits and improves the product promotion effect of the related companies.

Also, the product recommendation information is generated by reflecting the use of the electronic coupon transmitted and the elapsed time from the use of the electronic coupon, thereby providing more suitable recommendation information in accordance with the lifestyle of the customer who changes over time.

According to an aspect of the present invention, there is provided a communication system including a communication unit for receiving personal information and purchasing history of a plurality of customers via a wired / wireless network and transmitting product recommendation information to a user terminal device, a plurality of customer groups and a plurality of product groups belonging to each customer group A community generating and storing unit for generating and storing a commodity included in the purchase history and reflecting and storing the commodity included in the purchase history in at least one of the commodity groups; A product recommendation unit for extracting a product of a product group belonging to the acquired customer group to generate product recommendation information, and a communication unit for generating and storing the community, A control unit for controlling operations of the customer, the customer group obtaining unit and the product recommending unit, Comprising, wherein the control unit generates a plurality of customer base on the basis of the identification information, and the, like product wherein generating a plurality of product groups belonging to each of the customer base is provided according to the product type.

The coupon issuing unit may further include a coupon issuing unit for issuing an electronic coupon applicable to at least one commodity included in the commodity recommendation information.

The control unit may calculate a score according to the size of each product group, and prioritize the product groups using the score.

Further, the control unit may confirm whether the electronic coupon is used or not from the user terminal unit.

The control unit may increase the score of the product group to which the product corresponding to the used electronic coupon belongs if it is confirmed that the transmitted electronic coupon is used within a predetermined period or before the coupon expiration date .

The control unit may reduce the score of the product group to which the product corresponding to the unused electronic coupon belongs if the transmitted electronic coupon is confirmed to be unused within a predetermined period or until the coupon expiration date .

The control unit may update the priorities of the product groups based on the increase / decrease of the scores.

According to another aspect of the present invention, a store terminal device that transmits personal information and purchasing history of a plurality of customers, a plurality of customer groups generated according to personal information items, and a plurality of product groups belonging to each customer group are generated, When a product recommendation request is received from a purchase history DB and a user terminal device in which a product included in the product group is reflected and stored in at least one of the product groups, And a product recommendation system that acquires a customer group matching the information, extracts a product group of the product group belonging to the acquired customer group, and transmits the product recommendation information to the user terminal after generating the product recommendation information.

According to another aspect of the present invention, there is provided a method for recommending a product using personal information of a customer, the recommendation apparatus including at least one computer processor, the method comprising: collecting personal information and purchase history of a plurality of customers a step of creating a plurality of customer groups based on personal information, classifying each of the customer groups into a plurality of product groups according to product types, and reflecting the products included in the purchase history in at least one of the product groups (d) receiving customer recommendation requests from the user terminal device, (c) receiving customer recommendation requests from the user terminal device, (d) obtaining a customer group matching the user profile information of the user terminal device among the plurality of customer groups, (E) extracting a product of a group of products to which the product belongs and generating product recommendation information and transmitting the product recommendation information to the user terminal device The product recommendation method is provided.

The method may further include transmitting an electronic coupon applicable to at least one product included in the product recommendation information.

In the step (a), a score may be calculated for each product group belonging to each customer group based on the purchase history, and a priority is assigned to each product group using the score.

The method may further include confirming whether or not the transmitted electronic coupon is used from the user terminal device.

The method may further include increasing a score of the product group to which the product corresponding to the used electronic coupon belongs if it is determined that the electronic coupon is used within a predetermined period or before the expiration date of the coupon.

The method may further include reducing the score of the product group to which the product corresponding to the unused electronic coupon belongs if it is determined that the transferred electronic coupon is unused within a predetermined period or until the coupon expiration date.

The method may further include updating the priority of each product group to reflect the increase or decrease in the score.

According to another aspect of the present invention, there is provided a customer information management method comprising the steps of (a) collecting personal information and purchase history for a plurality of customers, generating a plurality of customer groups on the basis of personal information, (B) storing the product included in the purchase history in at least one of the product groups and storing the product, (c) receiving a product recommendation request from the user terminal device, (c) (D) acquiring a customer group matching the user's personal information of the terminal device, (f) extracting a product of the product group belonging to the acquired customer group, generating product recommendation information, and transmitting the product recommendation information to the user terminal device And a recording medium readable by the electronic apparatus is provided.

According to embodiments of the present invention, a plurality of customers are clustered based on personal information, so that customers can share consumption patterns of other customers belonging to the same or similar community.

In addition, by providing the electronic recommendation information and the electronic coupon applicable to the customer, the customer can receive the better benefit and improve the product promotion effect of the related company.

Further, by generating the product recommendation information reflecting whether the electronic coupon is used or not and the elapsed time from the use of the electronic coupon, it is possible to provide more suitable product recommendation information in accordance with the lifestyle of the customer who changes over time.

1 is a block diagram schematically showing a detailed configuration of a product recommendation system according to an embodiment of the present invention.
2 is a block diagram schematically showing a detailed configuration of a personal information based product recommending apparatus according to an embodiment of the present invention.
FIG. 3 illustrates an example in which a cluster is generated in a cluster generating and storing unit according to an embodiment of the present invention.
4 is a flowchart sequentially showing each step of a personal information based product recommendation method according to an embodiment of the present invention.
FIG. 5 is a flowchart sequentially showing each step of a personal information based product recommendation method according to another embodiment of the present invention.

The embodiments disclosed herein should not be construed or interpreted as limiting the scope of the present invention. It will be apparent to those of ordinary skill in the art that the description including the embodiments of the present specification has various applications. Accordingly, it is intended that the scope of the invention be limited not by the claims, but rather by the appended claims, rather than by the claims. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

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

1 is a block diagram schematically showing a detailed configuration of a product recommendation system according to an embodiment of the present invention.

Referring to FIG. 1, a product recommendation system according to an embodiment of the present invention includes a store terminal 200, a purchase history DB 300, and a product recommendation device 400.

The store terminal apparatus 200 is configured to transmit personal information and purchase history of a plurality of customers.

Specifically, the store terminal device 200 is a device for presenting products sold at a store to a customer who is connected through a login or directly visited the store, or performs settlement using credit card information of the customer.

For example, a card settlement machine, a point-of-sale (POS) terminal, or a shopping mall server device in an online store may correspond to the store terminal 200.

Here, the POS terminal device is a device that combines the functions of a cash register and a computer terminal. The POS terminal device recognizes barcode data of a product to be purchased by a customer to settle the sales amount of the store, and simultaneously stores various information (e.g., And devices that collect and process data.

The customer's personal information and purchase history recorded in the store terminal device 200 may be transmitted to the purchase history DB 300 or the product recommendation apparatus 400 according to the purchase of the product.

The purchase history DB 300 is a configuration in which purchase histories of a plurality of customers are classified and stored according to a certain criterion.

Specifically, a plurality of customer groups 10 and a plurality of product groups 20 belonging to each customer group 10 are generated in the purchase history DB 300 according to personal information items.

Herein, the personal information item means information that can influence the individual purchasing propensity of the customer.

For example, personal information items may include age, gender, occupation, hobbies, marital status, parental status, presence of a vehicle, disability, education, specialty, language ability, pets, Weight, sight, experience of traveling overseas, and the like.

The customer group 10 can be created for each personal information item. For example, the customer group (10) is created based on the age (25-34 years old) and <35-44 years old>, or based on hobbies <ski>, <movie appreciation>, < &Lt; Marathon &gt; and the like.

Further, the customer group 10 may be created by combining two or more pieces of personal information items. For example, the customer group (10) may be created based on age and sex, such as <male: male, age <40 years, <female: female, age: 35+> It can be created by <lecture: lower than high school, marriage unmarried>, <education: graduate school graduation, marriage: married>.

Based on the occupation, possession of the vehicle and key, <Occupation: Distribution business, Possession of vehicle: Yes, Key: 175 or more>, <Occupation: White collar, Possession of vehicle: No, Key: Less than 170> have.

One or a plurality of product groups 20 may be generated for one customer group 10. For example, three product groups 20 may be created for the customer group 10 having the age of 25 to 34 years: <household goods>, <dining>, and <culture>.

In addition, the purchase history DB 300 may reflect and store the products included in the purchase history in at least one of the product groups 20.

Accordingly, since the personal history information and purchasing history of a plurality of customers are classified and stored in the purchase history DB 300 according to the customer group 10 and the product group 20, the product recommendation apparatus 400 can identify the customers who have the same or similar personal information And the product information related to the various types of clusters.

The product recommendation apparatus 400 can confirm whether a product recommendation request is received from the user terminal device 100. [

Here, the user of the user terminal device 100 may be any one of the above-mentioned customers, or may be a person other than the plurality of customers. When the third party transmits a product recommendation request through the user terminal device 100, the third party information can be transmitted together with the personal information.

The user terminal device 100 may include at least one or more input means, output means, data processing means, or data storage means, may be installed with various application programs, and may be operated by a customer, And a terminal device capable of executing a specific function.

Typically, the term &quot; smartphone &quot; is used herein to mean any terminal capable of performing data transmission / reception by being connected to other devices through at least one of a wired network and a wireless network.

At this time, the application program can be driven independently or as a part of other application programs.

The merchandise recommending apparatus 400 searches the purchase history DB 300 to identify the customer group 10 matching the user identification information of the user terminal 100 among the plurality of customer groups 10 described above ).

For example, when a product recommendation request is received from a user terminal device 100 of a user having a personal information of a 31 year-old female employee, the product recommendation apparatus 400 searches the purchase history DB 300 to display <Age: 31 to 35 You can earn a group of 10 (education, business)>, age, sex, female, occupation.

The product recommendation apparatus 400 extracts a product of the product group 20 belonging to the acquired customer group 10 and transmits the product recommendation information 30 to the user terminal device 100 after the product recommendation information 30 is generated.

For example, if a customer group (10) of <age: 31 to 35 years old, gender: female, occupation: education business> is acquired, the customer group (10) Three product groups 20 may have been created. At this time, if the size of the <restaurant> is the largest among the three product groups 20, it is determined that the customers of the same customer group 10 have the highest preference, The product recommendation information 30 can be generated.

The product recommendation apparatus 400 may perform various methods such as e-mail, radio frequency identification (RFID) transmission, short message service (SMS), uniform resource locator shorer service (URL-SMS), and multi- The product recommendation information 30 can be transmitted to the user terminal device 100 via the network.

FIG. 2 is a block diagram schematically illustrating a detailed configuration of a personal information based product recommending apparatus 400 according to an embodiment of the present invention.

Referring to FIG. 2, a personal information based product recommendation apparatus 400 according to an exemplary embodiment of the present invention includes a communication unit 410, a cluster generation and storage unit 420, a customer group acquisition unit 430, a product recommendation unit 440, And a control unit 450.

The control unit 450 controls operations of the communication unit 410, the cluster generation and storage unit 420, the customer group acquisition unit 430 and the product recommendation unit 440 and the mutual data transfer.

The communication unit 410 is configured to perform data communication with the user terminal device 100 and the store terminal device 200 via a wired / wireless network.

Specifically, the communication unit 410 may receive the customer's personal information or purchase history from the store terminal device 200, or receive the user's personal information or the product recommendation request from the user terminal device 100. In addition, the communication unit 410 can transmit various data including the product recommendation information 30 and the like to the user terminal device 100. [

Such data transmission and reception can be performed by, for example, bar code recognition, QR code recognition, NFC communication, Bluetooth, beacon signal, IrDA (Infrared Data Association), ZigBee or RF (Wireless Application Protocol), Bible Runtime Environment for Wireless (BREW), Wireless Internet Platform for Interoperability (WIPI), WiBRO, and the like.

FIG. 3 illustrates an example in which a cluster is generated in the cluster generating and storing unit 420 according to an embodiment of the present invention.

A plurality of customer groups 10 (e.g., A, B, and C in FIG. 3) and a plurality of product groups 20 belonging to each customer group 10 are created in the cluster generation and storage unit 420. Also, the cluster generation and storage unit 420 may reflect and store at least one of the plurality of product groups 20 for each product included in the purchase history of a plurality of customers.

At this time, the control unit 450 generates a plurality of customer groups 10 in the cluster generating and storing unit 420 based on the personal information, generates a plurality of product groups 20 belonging to each customer group 10 according to the product type can do.

When the customer recommendation request is received from the user terminal apparatus 100, the customer set acquisition unit 430 searches the cluster creation and storage unit 420 using the user's personal information of the user terminal apparatus 100.

The customer group acquisition unit 430 can use all of the user's personal information items when searching the group creation and storage unit 420. However, the customer group acquisition unit 430 may search the group creation and storage unit 420 using only a part of the personal information items have.

The customer group acquisition unit 430 acquires the customer group 10 matching the user identity information of the user terminal 100 among the plurality of customer groups 10 stored in the cluster generation and storage unit 420. At this time, two or more customer groups 10 may be acquired according to the combination of personal information items.

The product recommendation unit 440 is a configuration for extracting a product of the product group 20 belonging to the customer group 10 acquired by the customer group acquisition unit 430 and generating the product recommendation information 30. [ The description of the generation of the product recommendation information 30 is the same as that described with reference to Fig. 1, and therefore will not be described. The product recommendation information 30 is transmitted to the user terminal device 100 through the communication unit 410 under the control of the control unit 450. [

Referring to FIG. 3, the controller 450 may calculate a score according to the size of each product group 20. Here, the size of the product group 20 means the number of products belonging to the product group 20 among the products included in the purchase histories of many customers. That is, the higher the product group 20 having a higher score, the higher the degree of customers' coral quality for the product group.

For example, in the case of the <occupation: university student> customer group 10, the size of the <book> product group 20 will be larger than the size of the <automobile> product group 20.

In addition, the control unit 450 can give priority to each product group 20 using the calculated score.

For example, for three product groups 20 belonging to the same customer group 10, scores can be calculated as 50 points, 65 points, and 70 points depending on the size. In this case, a first rank can be given to the product group 20 of 70 points having the highest score. Accordingly, the goods belonging to the first-ranked goods group 20 can be preferentially included in the goods recommendation information 30. [

The coupon issuing unit 460 is a configuration in which an electronic coupon applicable to at least one product included in the product recommendation information 30 is stored or issued and transmitted to the user terminal device 100 through the communication unit 410. [

Specifically, the coupon issuing unit 460 may store a coupon provided from a general store or various companies. In addition, the coupon issuing unit 460 may store various coupons classified according to various criteria such as an issuance date, an expiration date, an applicable product type, a related store or a business.

At this time, the control unit 450 can confirm whether or not the electronic coupon transmitted in the user terminal device 100 is used. Specifically, the control unit 450 receives the usage information of the electronic coupon directly from the user terminal device 100, or can confirm whether the electronic coupon is used by the customer through the purchase history received from the store terminal device 200.

The control unit 450 can increase the score of the product group 20 to which the product corresponding to the electronic coupon belongs if it is confirmed that the electronic coupon previously transmitted to the user terminal device 100 is used.

For example, it may be assumed that coupons applicable to the products belonging to the three product groups 20 of <household goods>, <dining>, and <culture> are transmitted to the customer A one by one. If the customer A uses only the coupon for the &quot; culture &quot; product group 20, the control unit 450 can confirm the result and increase the score of the &quot; culture &quot; product group 20 by a predetermined level.

Thus, it is possible to confirm the high and low preferences of the product groups 20 belonging to each customer group 10 and to reflect the products belonging to the product group 20 having high preference when the product recommendation information 30 is generated.

At this time, the controller 450 can increase the score of the product group 20 only when it is confirmed that the previously transmitted electronic coupon is used within a preset period or before the expiration date of the coupon. Or the score may be differentially increased by the elapsed period from use to use.

For example, if the transmitted electronic coupon is used within one week, it can increase the score more than if it was used within one month.

Also, if it is determined that the previously transmitted electronic coupon has not been used within the predetermined period or until the expiration date of the coupon, the control unit 450 can reduce the score of the product group 20 to which the product corresponding to the unused electronic coupon belongs. That is, it is determined that the previously transmitted electronic coupon is not used within a preset period or the expiration date of the coupon is low, and the score of the product group 20 to which the product belongs is reduced to reduce the product recommendation information 30), the possibility of recommending a product belonging to the product group 20 is lowered.

The control unit 450 may update the priorities of the product groups 20 by reflecting the increase or decrease in the score for each product group 20 according to the use of the previously transmitted electronic coupon and the elapsed time from the use of the electronic coupon.

FIG. 4 is a flowchart sequentially showing each step of a personal information based product recommendation method according to an embodiment of the present invention. FIG. 5 is a flowchart illustrating a personal information based product recommendation method according to another exemplary embodiment of the present invention, As shown in FIG.

Referring to FIG. 4, a personal information-based product recommendation method according to an embodiment of the present invention is performed (S610) of collecting personal information and purchase history for a plurality of customers. The personal history information per customer can be received from the user terminal device 100 or the store terminal device 200. The purchase history can be obtained through the merchandise information or payment history recorded in the store terminal device 200 at the time of purchasing products at an online or offline store Can be confirmed.

Next, a plurality of customer groups 10 are created based on personal information, each of the customer groups 10 is classified into a plurality of product groups 20 according to product types, 20) (S620) is carried out.

At this time, in step S620, the score is calculated for each product group 20 belonging to each customer group 10 based on the purchase history, and the scores calculated for each product group 20 are compared to give priority to each product group 20 have.

In step S610 and step S620, the statistical analysis result including the various customer groups 10 and the product group 20 is reflected in the product recommendation apparatus 400 by reflecting the clusters, that is, the personal information and the purchase history.

Subsequently, a step S630 of receiving a product recommendation request transmitted from the user terminal device 100 is performed.

Next, the user identification information of the user terminal device 100 that transmitted the product recommendation request is confirmed, and the user of the user terminal device 100 among the plurality of customer groups 10 included in the statistical analysis result generated in step S620 A step S640 of acquiring the customer group 10 matching the personal information is performed.

Then, in step S640, the user extracts the product of at least one product group 20 belonging to the customer group 10, generates the product recommendation information 30, and transmits the product recommendation information 30 to the user terminal device 100 requesting the product recommendation (S650) is performed.

Meanwhile, the step S655 of transmitting the electronic coupon applicable to at least one of the goods included in the merchandise recommendation information 30 may be performed at the same time as the step S650 or after the step S650 is performed.

Referring to FIG. 5, step S660 of checking whether the electronic coupon transmitted from the user terminal device 100 has been used may be performed. The usage information of the electronic coupon transmitted may be directly received from the user terminal device 100. However, the present invention is not limited to this, and a user can visit the store and record a purchase of the product through the electronic coupon stored in the user terminal device 100 It is possible to check whether the electronic coupon is used by collecting it from the store terminal device 200. [

Next, if it is determined that the previously used electronic coupon is used and the used electronic coupon is confirmed to be used, step S670 of increasing the score of the product group 20 to which the electronic coupon corresponding to the used electronic coupon belongs can be continued. At this time, the score of the product group 20 can be increased only when it is confirmed that the electronic coupon has been used within a predetermined period. Or the score may be differentially increased by the elapsed period from use to use.

Alternatively, if it is determined in step S670 that the previously transmitted electronic coupon has not been used within the predetermined period or until the coupon expiration date, the score of the product group 20 to which the electronic coupon corresponding to the unused electronic coupon belongs can be reduced.

Then, in step S680, the priority of each product group 20 may be updated by reflecting the increase / decrease of the score for each product group 20 changed through steps S660 and S670. Such an update can be performed in real time or on a predetermined cycle basis.

Such a personal information based product recommendation method can be created by a program, and the codes and code segments constituting the program can be easily deduced by a programmer in the field.

In addition, a program related to a personal information based product recommendation method may be stored in an information storage medium (Readable Media) that can be read by an electronic apparatus, and read and executed by the electronic apparatus.

It is to be understood that the term "comprising" and / or &quot; comprising &quot; as used herein means that the constituent element may be implanted unless specifically stated to the contrary, .

The embodiments of the present invention described above are disclosed for the purpose of illustration, and the present invention is not limited thereto. It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit and scope of the invention.

The present invention generates various types of customer groups and product groups belonging thereto by performing statistical analysis using personal information and purchasing history of a plurality of customers, and when a product recommendation request is received from the user terminal device, Based recommendation system, an apparatus and a method for acquiring a matching customer group and a product group and outputting product recommendation information.

10: Customer group 20: Product group
30: Product recommendation information 100: User terminal device
200: store terminal device 300: purchase history DB
400: product recommendation apparatus 410: communication unit
420: cluster generation and storage unit 430: customer cluster acquisition unit
440: product recommendation unit 450:
460: coupon issuing unit

Claims (16)

A communication unit for receiving personal information and purchasing history of a plurality of customers via a wire / wireless network and transmitting product recommendation information to a user terminal device;
A cluster generating and storing unit in which a plurality of customer groups and a plurality of product groups belonging to each customer group are generated and products included in the purchase history are reflected and stored in at least one of the product groups;
A customer group acquisition unit for acquiring a customer group matching the user identity information of the user terminal device among the plurality of customer groups by searching the cluster generation and storage unit when a product recommendation request is received from the user terminal unit;
A product recommendation unit for extracting a product of a product group belonging to the obtained customer group and generating product recommendation information; And
A control unit for controlling operations of the communication unit, the cluster generation and storage unit, the customer group acquisition unit and the product recommendation unit, and the mutual data transfer;
, &Lt; / RTI &
Wherein the control unit generates a plurality of customer groups based on the personal information and generates a plurality of product groups belonging to each customer group according to the product type, The method according to claim 1,
A coupon issuing unit for issuing an electronic coupon applicable to at least one commodity included in the commodity recommendation information;
Further comprising a personal information based product recommendation device 3. The method of claim 2,
Wherein the control unit calculates a score according to the size of each product group and assigns a priority to each product group using the score, The method of claim 3,
Wherein the control unit confirms whether or not the electronic coupon is used from the user terminal device. 5. The method of claim 4,
Wherein the control unit increases the score of the product group to which the product corresponding to the used electronic coupon belongs if it is confirmed that the electronic coupon is used within a predetermined period or before the expiration date of the coupon, Product recommendation device 5. The method of claim 4,
Wherein the control unit decreases the score of the product group to which the product corresponding to the unused electronic coupon belongs if it is determined that the transferred electronic coupon is unused within a predetermined period or until the expiration date of the coupon, Product recommendation device The method according to claim 5 or 6,
Wherein the controller updates the priority of each product group by reflecting the increase or decrease in the score, A store terminal for transmitting personal information and purchase history of a plurality of customers;
A purchase history DB in which a plurality of customer groups generated according to personal information items and a plurality of product groups belonging to each customer group are generated and products included in the purchase history are reflected and stored in at least one of the product groups; And
When a product recommendation request is received from the user terminal device, searches the purchase history DB to acquire a customer group matching the user's personal information of the user terminal device among the plurality of customer groups, extracts a product group of the product group belonging to the acquired customer group And transmits the product recommendation information to the user terminal device after the product recommendation information is generated;
A product recommendation system A method for recommending a product using a personal information of a customer, the product recommendation apparatus including at least one computer processor,
(A) collecting personal information and purchase history for a plurality of customers;
(B) a step of generating a plurality of customer groups based on personal information, classifying each of the customer groups into a plurality of product groups according to product types, reflecting the products included in the purchase history in at least one of the product groups, ;
(C) receiving a product recommendation request from a user terminal device;
(D) obtaining a customer group matching the user profile information of the user terminal device among the plurality of customer groups; And
(E) extracting a product group of the product group belonging to the acquired customer group, generating product recommendation information, and transmitting the product recommendation information to the user terminal device;
A method of recommending a personal information based product, including 10. The method of claim 9,
Transmitting an electronic coupon applicable to at least one product included in the product recommendation information;
Further comprising the steps of: 11. The method of claim 10,
Wherein the step (b) calculates a score according to a size of a product group belonging to each customer group based on the purchase history, and gives a priority to each product group using the score, Recommended method 12. The method of claim 11,
Checking whether the transmitted electronic coupon is used from the user terminal device;
Further comprising the steps of: 13. The method of claim 12,
Increasing the score of the product group to which the product corresponding to the used electronic coupon belongs if it is confirmed that the transmitted electronic coupon is used within a predetermined period or before the expiration date of the coupon;
Further comprising the steps of: 13. The method of claim 12,
Reducing the score of the product group to which the product corresponding to the unused electronic coupon belongs if the transmitted electronic coupon is confirmed to be unused within a predetermined period or until the expiration date of the coupon;
Further comprising the steps of: The method according to claim 13 or 14,
Updating the priority of each product group by reflecting the increase / decrease of the score;
Further comprising the steps of: (A) collecting personal information and purchase history for a plurality of customers, generating a plurality of customer groups on the basis of personal information, classifying each of the customer groups into a plurality of product groups according to product types, (B) storing at least one of the merchandise items reflected in at least one of the merchandise groups, (c) receiving a merchandise recommendation request from the user terminal device, comparing the user profile information of the user terminal device (D) acquiring a customer group, extracting a product of a product group belonging to the acquired customer group, generating product recommendation information, and transmitting the product recommendation information to the user terminal device, Lt; RTI ID = 0.0 &gt; readable &lt; / RTI &

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