KR20120008346A - Method and apparatus for classifing customer group - Google Patents

Abstract

PURPOSE: A client group classification method and apparatus thereof are provided to grasp the interesting information of users by analyzing watching patterns of viewers in a home shopping channel. CONSTITUTION: A product classification information extraction unit(141) extracts product classification information of products which is broadcasted in a home shopping channel based on EPG(Electronic Program Guide) information. A watching pattern analysis unit(142) creates watching pattern information of a viewer for the home shopping channel based on the EPG information and watching log-in information. A client group classification unit(143) creates the interesting product category of the viewer based on the watching pattern information.

Description

METHOD AND APPARATUS FOR CLASSIFING CUSTOMER GROUP}

The present invention relates to a method and apparatus for classifying a customer group, and more particularly, to a method and apparatus for classifying a customer group for each product for a home shopping channel using EPG information and viewing log information.

Today, a quantum leap in the field of data broadcasting is changing not only in broadcast technology, but also in our daily lives.

In particular, T-Commerce, which makes it possible to buy and sell goods while watching TV, has diversified with the recent launch of digital broadcasting.

For example, in the form of shopping related to product purchase, the use of product purchase using home shopping on data broadcasting is gradually increasing.

Meanwhile, there is a change in purchasing tendency for each customer to purchase a product. In general, buyers who purchase products tend to purchase products of interest based on their age, occupation, place of residence, or taste, rather than identical products of the same shape and shape.

Accordingly, products sold in the market are becoming more diversified, and product sellers are investing a lot of effort and money in order to grasp the purchasing tendency of buyers who purchase the products.

As a result, the buyer's satisfaction can be greatly improved when an advertisement for a product of interest is presented to the buyer, which can lead to an increase in sales resulting from the purchase of the buyer who purchases the product. It is investing a lot of effort and money to identify the propensity.

There are various needs of sellers who want to carry out marketing activities such as advertisements and commerce for a specific customer group, but there is a lack of a method of classifying customers by identifying viewers' interest information.

Above all, in order to categorize the customer group in various ways and to provide differentiated advertisements by customer group, it is important to acquire information about viewers' viewing patterns. The method of identifying information of interest is commonly used.

However, such a one-to-one survey may be expensive, and there is a limit in that faithful information cannot be collected because the viewer tends not to accurately fill in information other than essential items in the product subscription.

In order to solve the above-mentioned problems of the prior art, the present invention provides a method and apparatus capable of collecting basic information for classifying customer groups.

In addition, the present invention analyzes the viewing pattern of viewers watching the home shopping channel to grasp the viewer's interest information and to extract a customer group similar in preference products.

In addition, the present invention provides a differentiated advertising and commerce service for each customer group.

The objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood from the following description.

In order to achieve the above object, the apparatus for classifying a customer group for each product according to an aspect of the present invention is based on the EPG information, product classification information extraction unit for extracting the product classification information of the product broadcasted on the home shopping channel, the EPG information And a viewing pattern analyzer for generating viewing pattern information of the viewer for the home shopping channel based on the viewing log information, and a list of interested products of the viewer based on the viewing pattern information, and generating a customer group for each interested product. Includes a customer group classification to classify.

In order to achieve the above object, a method of classifying a customer group for each product according to an aspect of the present invention comprises the steps of: (a) searching for a channel whose channel type is home shopping among EPG information of each channel, based on EPG information, (b Checking whether product classification information for the searched home shopping channel exists from the EPG information, and if not present, extracting the product classification information from the program name of the EPG information for the home shopping channel, (c) Extracting product classification information corresponding to the brand name from a DB storing product classification information mapped to the brand name when the brand name of the product broadcasted on the home shopping channel exists in the program name of the EPG information; d) recording the product classification information extracted in step (b) or step (c) in the EPG information.

In order to achieve the above object, a method for classifying a customer group for each product according to another aspect of the present invention includes (a) searching for a home shopping channel that is currently broadcasting with reference to EPG information, and (b) watching the searched home shopping channel. Providing an interface for inputting product classification information on goods sold in the home shopping channel to a plurality of set top boxes, (c) receiving the product classification information from the set top box, and (d) Analyzing the received product classification information to determine the most selected product classification information as the product classification information of the product and (e) extracting the brand name of the product from the program name for the home shopping channel of the EPG information And mapping the extracted brand name and the determined product classification information to a DB.

BRIEF DESCRIPTION OF THE DRAWINGS The above and other objects, features and advantages of the present invention will be more apparent from the following detailed description taken in conjunction with the accompanying drawings, in which: FIG.

The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. It is provided to fully inform the owner of the scope of the invention.

According to one of the problem solving means of the method and apparatus for classifying the customer group of the present invention described above, it is possible to derive the active participation of the user who is most important in the collection of basic information for classifying the customer group.

In addition, it is possible to classify various customer groups by building up basic information.

In addition, instead of indiscriminate advertising provided to a large number of unspecified, it is possible to differentiate marketing by various classified customer groups.

In addition, unnecessary advertising expenses can be suppressed.

1 is a diagram showing the configuration of a system for classifying customer's segmentation according to an embodiment of the present invention.
2 is a block diagram showing the configuration of a customer group classification server 140 according to an embodiment of the present invention.
3 is a flowchart illustrating a process of constructing a product classification information DB according to an embodiment of the present invention.
4 is a flowchart illustrating a process of reflecting product classification information in EPG information according to an embodiment of the present invention.
5 is a flowchart illustrating a process of building interest product information for each customer group according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention.

The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein.

In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

For reference, in the entire specification, when a part is "connected" to another part, it is not only "directly connected" but also "electrically connected" with another element in between. Also includes.

Also, when an element is referred to as "comprising ", it means that it can include other elements as well, without departing from the other elements unless specifically stated otherwise.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings.

1 is a diagram illustrating a configuration of a system for classifying customer's segmentation according to an embodiment of the present invention.

The system for classifying customer groups according to an embodiment of the present invention includes a viewer set-top box 110, a viewing log providing server 120, an EPG information providing server 130, and a customer group sorting server 140.

In describing each component, the viewer set-top box (hereinafter, referred to as a set-top box) 110 may include information about various broadcast channels watched by the viewer, for example, an identifier (ID) of the broadcast channel watched by the viewer. , The viewing log information including the viewing start time, the viewing end time, and the identifier (ID) of the corresponding set-top box is transmitted to the viewing log providing server 120.

In addition, the set-top box 110 receives the EPG information from the EPG information providing server 130, and the program (real time broadcast, video on demand, etc.) selected by the viewer according to the EPG information from the IPTV service providing server (not shown) It is received and displayed on an IPTV display device (hereinafter referred to as "TV").

In addition, the set-top box 110 receives an advertisement for the customer group to which the viewer of the set-top box belongs from the customer group classification server 140 to display on the TV.

In addition, when the viewer watches the home shopping channel, the set-top box 110 receives an interface from the customer group classification server 140 that allows the viewer to input the 'product classification information' for the product currently being broadcast in the home shopping channel. Display on the TV.

Here, the 'product classification information' includes category information of the corresponding product currently being broadcast in the home shopping channel. For example, if the product currently being broadcasted on the home shopping channel is 'B cosmetics with wrinkle improvement function of the domestic A company,' the category of the product may be 'clothing, fashion, cosmetics> domestic cosmetics> functional cosmetics'. Among them, the functional category, which is the lowest category, may be the product classification information of the corresponding product.

Of course, the upper categories 'clothing, fashion, cosmetics' and 'domestic cosmetics' may also be included in the 'product classification information.'

Accordingly, the viewer may select the interface displayed on the TV, that is, the category information in stages, to select the 'product classification information' for the broadcasting product of the home shopping channel currently being viewed.

For reference, a viewer who inputs the 'product classification information' for the broadcasting product of the home shopping channel currently being watched may be provided with an incentive such as a discount coupon or a point of the currently broadcasting product.

Thereafter, the set-top box 110 transmits the 'product classification information' input from the user to the customer group classification server 140.

Meanwhile, the viewing log providing server 120 may provide information on various broadcasting channels viewed by the viewer from each set top box 110, for example, an identifier (ID) of the corresponding set top box, an identifier of the broadcasting channel watched by the viewer ( ID), and viewing log information including viewing start time and viewing end time of viewing the corresponding channel, and storing viewing log information for each viewer based on this.

In addition, the viewing log providing server 120 transmits viewing log information (hereinafter, referred to as 'viewing viewer information for each viewer') for each set-top box 110 to the customer group classification server 140.

Meanwhile, the EPG information providing server 130 provides the EPG information to the set top box 110.

The EPG information providing server 130 checks the EPG information version of the set top box 110 when the power of the set top box 110 is turned on or at predetermined time intervals, and transmits the latest EPG information to the set top box 110. do.

In addition, the EPG information providing server 130 transmits the latest EPG information to the customer group classification server 140.

In addition, the EPG information providing server 130 may receive 'product classification information' from the customer group classification server 140 and reflect the EPG information.

For reference, the EPG information includes information about a program of each broadcast channel, and may include an identifier (ID) of the corresponding program, a program name, a broadcast channel, a start time, an end time, a channel type, and product classification information.

Here, when the channel type is the home shopping channel in the EPG information, the 'product classification information' includes category information about the product broadcasted in the home shopping channel, and may be usefully used to classify the customer group for each product.

Meanwhile, the customer group classification server 140 receives the viewing log information for each viewer from the viewing log providing server 120 and receives the latest EPG information from the EPG information providing server 130.

In addition, the customer group classification server 140 builds the product classification information for the broadcast whose channel type is the home shopping channel by using the channel information collected from the IPTV H / E system.

To this end, the customer group classification server 140 filters the case in which the channel type is the home shopping channel by linking the channel information with the viewing log information for each viewer and the viewing time information for each viewer by linking the EPG information with the viewing log information for each viewer. Build it.

Thereafter, the customer group classification server 140 builds the interested product information of the corresponding viewer based on the viewing time for each product, and classifies the customers having the same (or similar) products of interest into one customer group.

In addition, the customer group classification server 140 may provide a target advertisement or commerce service for each classified customer group.

In addition, the customer group classification server 140 may construct a 'product classification information DB' which is basic information for classifying a customer group for each item of interest.

To this end, when the viewer views the home shopping channel, the customer group classification server 140 may provide the set top box 110 with an interface for inputting product classification information.

In this case, the customer group classification server 140 may provide the above-described interface to the set-top box 110 only for the home shopping channel where the product classification information of the EPG information is not recorded yet with reference to the EPG information.

Thereafter, the customer group classification server 140 receives 'product classification information' for the broadcast product of the home shopping channel currently being viewed from the set top box 110.

Thereafter, the customer group classification server 140 determines the product classification information that records the most count among the product classification information selected by the viewers for the corresponding product as the product classification information of the corresponding product, and records it in the product classification information DB.

In this case, the customer group classification server 140 maps and stores the brand name of the corresponding product included in the program name of the EPG information and the product classification information selected by the viewers.

Thereafter, the customer group classification server 140 transmits the contents of the product classification information DB to the EPG information providing server 130 (or the EPG information providing server 130 stores the product classification information DB stored in the customer group classification server 140). In this regard, the latest product classification information may be reflected in the EPG information.

Detailed description of the customer group classification server 140 will be described in detail with reference to each component included in the customer group classification server 140 illustrated in FIG. 2.

2 is a block diagram showing the configuration of a customer group classification server 140 according to an embodiment of the present invention.

Customer group classification server according to an embodiment of the present invention is a product classification information extraction unit 141, viewing pattern analysis unit 142, customer group classification unit 143, advertising / commerce service provider 144, interface provider ( 145 and a product classification information recording unit 146.

Referring to each component, when the channel type of the EPG information is a home shopping channel, the product classification information extraction unit 141 extracts the product classification information from the program name of the EPG information.

In general, the program name of the EPG information includes the title of the corresponding program (content), and in the case of a series, may further include subtitles or episode information.

For example, in the MBC 100-minute discussion, the program name for the EPG information is “100-minute discussion -465 times, again the World Cup! You can include the title of the program, episodes, and subtitles, such as “speak square.”

In addition, in the case of the home shopping channel, the program name of the EPG information may include product classification information, such as "Women's Cosmetics Collection", and the specific brand name may be included, such as "Olympus Launch 5th Anniversary Sale."

The product classification information extracting unit 141 may directly extract the product classification information from the program name when the product classification information is included in the program name of the EPG information for the home shopping channel.

If the program name includes a specific brand name instead of the product classification information, the product classification information extracting unit 141 may extract the product classification information of the corresponding brand name from the product classification information DB to which the brand name and the product classification information are mapped. .

For example, if the program name includes a specific brand of a digital camera called "Olympus", such as "5th Anniversary Sale Sale of Olympus," the product classification information DB includes the brand "Olympus" and the product "Digital Camera." Classification information may be mapped and stored.

For reference, the category of 'Digital Cameras' may be 'Home Appliances> Household Appliances> Digital Cameras', and the lowest category 'Digital Cameras' and the upper categories 'Home Appliances' and 'Household Appliances' May be included.

On the other hand, the viewing pattern analysis unit 142 filters the viewing log for the home shopping channel from the viewing log information, and generates viewing time information for each product of each viewer by linking the filtered viewing log and the EPG information.

To this end, the viewing pattern analyzer 142 may calculate the time each viewer stays for each channel by using the viewing log information collected at predetermined time intervals, and the channel type is the home shopping channel in the viewing log information. When there is a viewing history (viewing start time and end time), the viewing pattern analysis unit 142 may construct viewing time information for each product classification by referring to the product classification information of the EPG information corresponding to the viewing history. have.

At this time, the viewing pattern analysis unit 142 compares the viewing start time and the end time of the viewing log information, the program start time and the program end time of the EPG information for the corresponding home shopping channel, and calculates the viewing time for each product of each viewer. In this case, the viewer may further calculate the viewing time for each product of the viewer by further including one or more of the viewing count for each product and the viewing time for each number of times.

That is, in general, when a viewer watches TV, a program that is of interest is long to watch, and a program that is not of interest is short to watch since the channel is switched to another program.

Therefore, by analyzing the viewing log information based on the broadcasting start time and end time of the EPG information on the home shopping channel and the product classification information, it is possible to determine which programs the viewers watched for a long time and which programs they watched. This can help you determine which products your viewers are interested in or not interested in.

On the other hand, the customer group classification unit 143 generates a product list of interest in order of products having a long viewing time for each viewer based on the viewing time for each product of the viewer calculated by the viewing pattern analyzer 142.

In this case, the customer group classification unit 143 may receive not only the viewing time but also the number of viewing times from the viewing pattern analyzer 142 and reflect them when generating the list of interest items.

Thereafter, the customer group classification unit 143 may classify the customer group for each item of interest. In this case, the classification of the customer group may be based on the product classification information, but may be based on the lowest category included in the product classification information. It may be based on.

Taking the above-mentioned digital camera as an example again, if the list of products of interest of a specific customer is sorted in the order of digital camera, baby goods, and car, the customer may be classified as 'digital camera customer group', or 'life' Home appliance customers.

Meanwhile, the advertisement / commerce service provider 144 provides a target advertisement or commerce service for each classified customer group.

The advertisement / commerce service provider 144 may transmit a broadcast schedule information about a product of interest of the corresponding customer group, a discount information on the product of interest, etc. to the set-top box 110 or a mobile phone registered at the time of service subscription, and may read a discount coupon. Message (SMS) or multimedia message (MMS) can also be sent to the viewer's mobile phone in the form.

In addition, the advertisement / commerce service provider 144 may provide a video or image advertisement corresponding to a product of interest of each customer group before, after or during the start of VoD, and may be associated with a commerce site.

In addition, the advertisement / commerce service provider 144 may provide an image advertisement corresponding to a product of interest of each customer group as a loading shot before starting the interactive service.

In addition, the advertisement / commerce service provider 144 may provide a link or an image advertisement for re-viewing the VOD search window and widget for the home shopping VOD of the product of interest of each customer group.

On the other hand, the interface providing unit 145 provides the set-top box 110 with an interface for inputting product classification information when the channel that the viewer watches is the home shopping channel.

Meanwhile, when the product classification information of the home shopping channel selected by the viewer is received from the set-top box 110, the product classification recorder 146 records the highest count of the product classification information selected by the viewers for the products of the home shopping channel. Is stored in the product classification information DB as product classification information of the corresponding product.

At this time, the product classification recorder 146 maps and stores the brand name of the corresponding product included in the program name of the EPG information and the product classification information selected by the viewers.

2 refers to a hardware component such as software or an FPGA (Field Programmable Gate Array) or ASIC (Application Specific Integrated Circuit), and performs predetermined roles .

However, 'components' are not meant to be limited to software or hardware, and each component may be configured to be in an addressable storage medium or may be configured to reproduce one or more processors.

Thus, by way of example, an element may comprise components such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, Routines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables.

Components and the functionality provided within those components may be combined into a smaller number of components or further separated into additional components.

3 is a flowchart illustrating a process of constructing a product classification information DB according to an embodiment of the present invention.

Hereinafter, the flowchart of FIG. 3 will be described with reference to the components of the system shown in FIG. 1.

The customer group classification server 140 searches for a home shopping channel that is currently being broadcast with reference to the EPG information (S301).

After step S301, the customer group classification server 140 provides an interface for inputting product classification information on products of the home shopping channel being viewed by the plurality of set-top boxes 110 watching the corresponding home shopping channel (S302).

In this case, when the product classification information about the product currently being broadcast is input to the viewer's TV, a message may be displayed that provides an incentive such as a discount coupon or a point of the currently broadcasting product. When pressed, the set top box 110 may provide an interface for inputting product classification information.

After the step S302, the customer group classification server 140 receives the product classification information for the product of the home shopping channel being viewed from the plurality of set-top boxes 110 (S303).

After step S303, the customer group classification server 140 determines the product classification information selected by the viewer for the product broadcasted in the corresponding home shopping channel as the product classification information of the corresponding product, and stores it in the product classification information DB (S304). ).

In this case, the customer group classification server 140 maps and stores the brand name of the corresponding product included in the program name of the EPG information and the product classification information selected by the viewers.

For reference, the customer group classification server 140 pays an incentive such as a discount coupon of the corresponding product to the viewer who inputs the product classification information on the product of the home shopping channel being watched, and actively participates in the viewers to build reliable information. Can also be derived.

4 is a flowchart illustrating a process of reflecting product classification information in EPG information according to an embodiment of the present invention.

Hereinafter, the flowchart of FIG. 4 will be described with reference to the components of the system shown in FIG. 1.

For reference, the process illustrated in FIG. 4 is a process of reflecting the product classification information in the EPG information while the product classification information of the EPG information for the specific home shopping channel has not been recorded yet.

The customer group classification server 140 receives the EPG information from the EPG information providing server 130 (S401).

After step S401, the customer group classification server 140 checks whether the channel type of the EPG information of each channel is the home shopping channel (S402).

As a result of checking in step S402, when the channel type is a home shopping channel, the customer group classification server 140 checks whether there is product classification information for a product broadcast in the corresponding home shopping channel in the program name among the EPG information (S403).

If the product classification information exists in the program name as a result of checking in step S403, the customer group classification server 140 extracts the product classification information from the program name and records it in the product classification information of the EPG information (S404).

If the product classification information does not exist in the program name as a result of checking in step S403, the customer group classification server 140 retrieves the product classification information matched with the brand name included in the program name from the product classification table, and classifies the searched product. The information is recorded in the product classification information of the EPG information (S405).

Through the process as shown in FIG. 4, the customer group classification server 140 may record the product classification information in the EPG information to establish basic information for classifying the customer group according to the preference for each product.

5 is a flowchart illustrating a process of building interest product information for each customer group according to an embodiment of the present invention.

Hereinafter, the flowchart of FIG. 5 will be described with reference to the components of the system shown in FIG. 1.

The customer group classification server 140 receives the viewing log of each set-top box from the viewing log providing server 120 and receives the EPG information from the EPG information providing server 130 (S501).

After step S501, the customer group classification server 140 calculates a viewing time for each product of each viewer using the viewing log information and the EPG information (S502).

After step S502, the customer group classification server 140 sorts the items of interest of each viewer in order based on the calculated viewing time for each product of each viewer (S503).

After step S503, the customer group classification server 140 classifies viewers having the same products of interest into one customer group (S504).

For reference, since a plurality of interested products may exist for each viewer, each viewer may be included in one or more customer groups. In addition, it may be included in one or more customer groups according to the number of categories of the category for one interest product.

For example, when a viewer's product of interest is a digital camera and the category of the digital camera is "home appliances> household appliances> digital camera," the viewer may be included in one or more customer groups of the household appliance customer group and the digital camera customer group.

After step S504, the customer group classification server 140 provides a targeting advertisement or commerce service corresponding to the corresponding customer group for each customer group (S505).

In addition, in the case of performing targeted advertising and commerce services, the target number of target customers such as the customer group with the highest priority of the product to be advertised and the customer group with the first or second priority of the target product are selected in consideration of the size of the target customer group. It is possible to provide advertising or commerce service by flexibly calculating the target rank of customers from the top rank of the product preference criteria.

The foregoing description of the present invention is intended for illustration, and it will be understood by those skilled in the art that the present invention may be easily modified in other specific forms without changing the technical spirit or essential features of the present invention. will be.

It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is shown by the following claims rather than the above description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. do.

140: customer group classification server
141: product classification information extraction unit
142: viewing pattern analysis unit
143: customer group classification
144: advertising / commerce service provider
145: interface provider
146: product classification information record

Claims (14)

In the device for classifying the customer group by product,
A product classification information extraction unit for extracting product classification information of a product broadcasted on a home shopping channel based on the EPG information;
A viewing pattern analyzer configured to generate viewing pattern information of a viewer of the home shopping channel based on the EPG information and viewing log information;
A customer group classification unit generating a list of interested products of the viewer based on the viewing pattern information and classifying a customer group by the interested products;
Included, the customer group classification device for each product.
The method of claim 1,
The product classification information extracting unit extracts the product classification information included in the program name of the EPG information, and when the program name includes the brand name of the product instead of the product classification information, the brand name and the product classification information A product group customer group classification device for extracting the product classification information of the brand name from the mapped DB.
The method of claim 2,
The viewing pattern analyzer extracts one or more of a viewing time, a viewing frequency, and a viewing time for the home shopping channel from the viewing log information, and based on product classification information of the EPG information corresponding to the extracted viewing time, And calculating the viewing pattern information including the viewing time for each product of the viewer.
The method of claim 3, wherein
And the viewing pattern analysis unit extracts the viewing count for each product of the viewer from the viewing log information, and calculates the viewing pattern information including the extracted viewing count for each product.
The method of claim 4, wherein
The customer group classifying unit generates a product list of interests of the viewers in an order in which at least one of the viewing time and viewing frequency for each product is equal to or greater than a predetermined criterion.
The method of claim 5, wherein
The customer group classifying unit classifies the customer group based on a category of the product classification information for each product of the interest product list, based on the generated interest product list of the viewer.
The method according to claim 6,
Ad / commerce service provider for providing the advertising content or commerce service corresponding to the customer group for each customer group
Further comprising, the customer group classification device for each product.
In the method of classifying customer group by product,
(a) searching for a channel whose channel type is home shopping among the EPG information of each channel based on the EPG information,
(b) checking whether the product classification information for the searched home shopping channel exists from the EPG information, and if not, extracting the product classification information from the program name of the EPG information for the home shopping channel;
(c) when a brand name of a product broadcasted on the home shopping channel exists in the program name of the EPG information, extracting product classification information corresponding to the brand name from a DB storing product classification information mapped to the brand name; Steps and
(d) recording the product classification information extracted in step (b) or step (c) in the EPG information;
Including, the customer group classification method for each product.
The method of claim 8,
(e) extracting one or more of each viewer's viewing time and viewing frequency of the home shopping channel from the viewing log information, and based on the product classification information of the EPG information corresponding to the extracted viewing time, Calculating viewing pattern information including viewing time for each product;
Further comprising, customer group classification method for each product.
The method of claim 9,
(f) extracting the number of viewing of each viewer by the product from the viewing log information, and calculating the viewing pattern information including the extracted number of viewing of each product;
Further comprising, customer group classification method for each product.
The method of claim 10,
(g) generating a list of products of interest of each viewer in an order in which at least one of the viewing time and the viewing frequency for each product becomes more than a predetermined reference;
Further comprising, customer group classification method for each product.
The method of claim 11,
(h) classifying a customer group based on a category of the product classification information for each product of the interested product list with respect to the generated viewer's product list of the viewer;
Further comprising, customer group classification method for each product.
In the method of classifying customer group by product,
(a) searching for a home shopping channel that is currently being broadcast by referring to EPG information,
(b) providing an interface for inputting product classification information on products sold in the home shopping channel to a plurality of set-top boxes watching the searched home shopping channels;
(c) receiving the product classification information from the set top box,
(d) analyzing the received product classification information to determine the most selected product classification information as the product classification information of the product; and
(e) extracting the brand name of the product from the program name for the home shopping channel of the EPG information, mapping the extracted brand name and the determined product classification information and storing them in a DB
Including, the customer group classification method for each product.
The method of claim 13,
(f) providing incentive information including a discount coupon or points for the product to the set top box that has transmitted the product classification information;
Further comprising, customer group classification method for each product.

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