KR101722445B1

KR101722445B1 - Buyers expect support device and method based on the buying patterns

Info

Publication number: KR101722445B1
Application number: KR1020160033208A
Authority: KR
Inventors: 박희준
Original assignee: (주)코바이노베이션
Priority date: 2016-03-21
Filing date: 2016-03-21
Publication date: 2017-04-03

Abstract

Disclosed are a device and a method for expecting and supporting a product purchaser based on a product purchasing pattern. According to the present invention, the device and the method for expecting and supporting a product purchaser based on a product purchasing pattern generates purchasing pattern information on a predetermined product based on a webpage access pattern by a predetermined cycle during a predetermined period, of members purchasing the predetermined product and transmits advertisement information on the predetermined product to the selected member by selecting the members having the webpage access pattern corresponding to the purchasing pattern information on the predetermined product, among the members who do not purchase the predetermined product, as a purchase-expected member on the predetermined product. So, the device and the method for expecting and supporting a product purchaser based on a product purchasing pattern can promote product purchase to the members having a high possibility of purchasing the predetermined product, who have not purchased the predetermined product. Therefore, the device and the method for expecting and supporting a product purchaser based on a product purchasing pattern can induce the product purchase in a high probability. The device for expecting and supporting a product purchaser based on a product purchasing pattern includes a member database, an access information database, a first customer information extracting unit, a first connection history information extracting unit; a maximum access history information extracting unit, a pattern information generating unit, a second member information extracting unit, a second access history information extracting unit, a pattern coincidence selection unit, a purchase-expected member selecting unit, and an advertisement information transmission unit.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to an apparatus and a method for predicting a product purchaser based on a product purchase pattern,

The present invention relates to a technique of analyzing patterns of members of a specific commodity in an online shopping mall, selecting prospective buyers for the commodities, and transmitting advertisement information to the prospective buyers.

Recently, with the widespread use of the Internet, the use of online-based services such as online shopping malls and Internet banking using the Internet is rapidly increasing.

The online shopping mall is a product that can be purchased simply by purchasing a product by accessing a web page of an online shopping mall by using a user's own client terminal, The use of online shopping malls is increasing.

As the use of the online shopping mall surges, efforts are being made to promote various products to the customers at the online shopping mall.

In this case, the history of the customer who has purchased the specific kind of goods in the online shopping mall is stored, and advertisement information about the similar goods is generated and the advertisement information is transmitted to the client terminal of the customer by a message or e-mail, Marketing methods are being introduced to encourage customers to purchase similar products again.

However, since this marketing method is a method of transmitting advertisement information about similar goods to customers who purchase a specific product, it is generally considered that a customer who has already completed a purchase for a specific product can re-purchase similar goods soon Is not high, so marketing methods to induce the purchase of products are often not very effective.

In order to successfully induce the purchase of products for customers, it is necessary to select not only the customers who have already purchased the related products but also the customers who are likely to purchase the products in the future, and transmit the advertisement information about the products to the customers .

In order to select customers who are likely to purchase a specific product, a common pattern of existing customers who purchased the product is analyzed, and then customers matching the pattern are selected as customers who are likely to purchase the product in the future .

Therefore, it is necessary to study a product buyer prediction technique that selects customers having a high possibility of purchasing a specific product from the viewpoint of a company that operates an online shopping mall, and transmits advertisement information about the specific product to the customers.

The apparatus and method for anticipating a product purchaser based on a product purchase pattern according to the present invention generates purchase pattern information for the specific product based on a web page access pattern for a specific period during a specific period of a member who purchased a specific product A member having a web page access pattern matching the purchase pattern information of the specific commodity among the members who have not purchased the specific commodity is selected as a prospective purchasing member for the specific commodity, By transmitting the advertisement information, it is possible to perform the promotion for purchasing the commodity to the members who are not the members who have already purchased the specific commodity but are likely to purchase the specific commodity in the future, do.

The merchandise buyer prediction support apparatus based on the merchandise purchase pattern according to the embodiment of the present invention may store the information on the plurality of members who have joined the online shopping mall and the information about the merchandise purchased by the plurality of members from the online shopping mall A purchase history information storing unit for storing purchase history information corresponding to the purchase history information stored in the storage unit; an identifier for the client terminal of the plurality of members and a daily web page access history of each of the client terminals of the plurality of members, Extracting information on at least one first member that includes a history of purchasing the first product from the member database when a pattern information extraction command for members who purchased the first product by the administrator is approved, A first member information extracting unit for extracting the extracted at least one member Information about a daily web page access history stored corresponding to an identifier for a client terminal of the at least one first member during a first predetermined period from the access information database, From the information of the daily web page access history for the selected first period to the client terminal of the at least one first member, A maximum access information extracting unit for extracting access information for a web page most frequently accessed by the client terminal of the at least one first member at every cycle interval and access information for the web page extracted for each predetermined period To generate a purchase pattern information for the first product, .

In addition, the method of supporting an expected product buyer based on a product purchase pattern according to an exemplary embodiment of the present invention includes a step of storing information on a plurality of members who have joined the online shopping mall, The method comprising the steps of: maintaining a member database in which product purchase history information of the plurality of members is stored in correspondence with each other; information on a daily web page access history of each of the plurality of members' A step of, when the pattern information extracting command for the members who purchased the first product by the manager is applied, storing at least the history of purchasing the first product from the member database Extracting information on one first member, Based on the information on the at least one first member issued, the daily web page connection history stored corresponding to the identifier for the client terminal of the at least one first member during the first period selected from the connection information database From the information on the daily web page access history for the selected first period for the client terminal of the at least one first member, at every predetermined period interval within the selected first period, Extracting connection information for a web page most frequently accessed by the client terminal of the at least one first member and sequentially arranging connection information for the web page extracted for each of the predetermined period intervals, And generating the purchase pattern information.

The apparatus and method for anticipating a product purchaser based on a product purchase pattern according to the present invention generates purchase pattern information for the specific product based on a web page access pattern for a specific period during a specific period of a member who purchased a specific product A member having a web page access pattern matching the purchase pattern information of the specific commodity among the members who have not purchased the specific commodity is selected as a prospective purchasing member for the specific commodity, By transmitting the advertisement information, it is possible to carry out a promotion for purchasing a commodity to members who are not likely to purchase the specific commodity but who are likely to purchase the specific commodity in the future, and thus it is possible to induce commodity purchase with a high probability .

1 is a diagram illustrating a structure of a product purchaser prediction support apparatus based on a product purchase pattern according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating a method for predicting a product buyer based on a product purchase pattern according to an embodiment of the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like reference numerals are used for like elements in describing each drawing.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used in this application is used only to describe a specific embodiment and is not intended to limit the invention. The singular expressions include plural expressions unless the context clearly dictates otherwise. In the present application, the terms "comprises" or "having" and the like are used to specify that there is a feature, a number, a step, an operation, an element, a component or a combination thereof described in the specification, But do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the related art and are to be interpreted as either ideal or overly formal in the sense of the present application Do not.

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

1 is a diagram illustrating a structure of a product purchaser prediction support apparatus based on a product purchase pattern according to an embodiment of the present invention.

Referring to FIG. 1, a merchandise buyer prediction support apparatus 110 based on a product purchase pattern according to an embodiment of the present invention includes a member database 111, an access information database 112, a first member information extraction unit 113, A first connection history information extracting unit 114, a maximum access information extracting unit 115, and a pattern information generating unit 116.

Here, the merchandise buyer prediction support apparatus 110 based on the product purchase pattern may be implemented to operate as an online shopping mall server apparatus that directly provides an online shopping mall web page and related contents, A stand-alone device operating in the form of receiving information on members from the shopping mall server device and information on purchase history of members.

The member database 111 stores information on a plurality of members who have joined the online shopping mall and product purchase history information on products purchased by the plurality of members in the online shopping mall.

In this regard, information may be stored in the member database 111 as shown in Table 1 below.

Multiple members Product purchase history information Members 1 January 3, 2015 Item 1 Purchase
April 12, 2015 Item 2 Purchase
... Members 2 March 3, 2015 Item 1 Purchase
May 3, 2015 Purchase item 3
June 8, 2015 Item 4 Purchase
... Members 3 February 2, 2015 Item 1 Purchase
... Members 4 July 2, 2015 Item 2 purchase
August 2, 2015 Item 4 Purchase
... Membership 5 October 5, 2015 Buy 5 items
... ... ...

The access information database 112 stores an identifier for the client terminal of the plurality of members and information on the daily web page access history of each of the client terminals of the plurality of members in association with each other.

In this connection, information may be stored in the connection information database 112 as shown in Table 2 below.

An identifier for a client terminal of a plurality of members Daily web page access history Member 1 Identifier of client terminal: 12345 January 1, 2015 Accessing A Web Page
...
December 31, 2015 B Web page access Member 2 Identifier of client terminal: 23456 January 1, 2015 Access to C web page
...
December 31, 2015 Accessing the D Web page Member 3 Identifier of client terminal: 34567 January 1, 2015 E Access web page
...
December 31, 2015 Accessing the F web page Member 4 Identifier of client terminal: 45678 January 1, 2015 G Accessing web pages
...
December 31, 2015 Accessing the H Web page Member 5 Identifier of client terminal: 56789 January 1, 2015 I Web page access
...
December 31, 2015 J Web page access ... ...

At this time, according to an embodiment of the present invention, when the plurality of members first access the merchandise buyer prediction support apparatus 110 based on the product purchase pattern, In order to store related information on the information database 112 and collect daily web page connection history information from the client terminals of the members and store the information on the connection information database 112, the identifier generation unit 117, (118) and a connection information storage unit (119).

When an initial connection request is received from the client terminal of the first member among the plurality of members, the identifier generation unit 117 generates a random number and transmits the random number as an identifier for the client terminal of the first member to the connection information database 112 And transmits the random number to the client terminal of the first member.

When the client terminal of the first member accesses the web page, the connection information receiving unit 118 receives from the client terminal of the first member the access information for the web page accessed by the client terminal of the first member together with the random number And the connection date.

The access information storage unit 119 divides the identifier of the client terminal of the first member from the connection information database 112 based on the received random number, The connection information and the connection date of the web page of the client terminal of the first member are stored so as to correspond to the identifier of the terminal.

For example, if the first member is assumed to be "member 1 ", and an initial connection request is received from the client terminal of" member 1 "Quot; 1 "after storing the random number as an identifier for " member 1 " on the connection information database 112 after generating a random number such as" 12345 "

Thereafter, every time the client terminal of "member 1" accesses the web page, the connection information receiver 118 receives the random number "12345" from the client terminal of & It is possible to receive information on connection information and a connection date for a web page.

At this time, the connection information storage unit 119 divides the identifier for the client terminal of "member 1 " from the connection information database 112 based on the received random number" 12345 " The connection information database 112 may store information on the connection information and the connection date of the web page of the client terminal of "member 1 " so as to correspond to the identifier of the client terminal of" member 1 ".

In this manner, the commodity buyer prediction support apparatus 110 based on the commodity purchase pattern stores, on the connection information database 112, the daily web page of each of the client terminals of the plurality of members with respect to the identifier of the client terminal of the plurality of members Information on the connection history can be stored in association with each other.

When the pattern information extraction instruction is applied to the members who purchased the first product by the manager under the situation where the member database 111 and the contact information database 112 are maintained, the first member information extraction unit 113 extracts, From the member database 111, information on at least one first member including a history of purchasing the first product.

The first connection history information extracting unit 114 extracts the first connection history information from the connection information database 112 based on the extracted information about the at least one first member, Information on the daily web page connection history stored in association with the identifier of the client terminal of the user.

The maximum access information extracting unit 115 extracts maximum access information from the information on the daily web page access history for the selected first period for the client terminal of the at least one first member within a predetermined period interval The client terminal of the at least one first member extracts access information on the web page most accessed by the client terminal of the at least one first member.

The pattern information generating unit 116 sequentially arranges the access information for the web page extracted for each of the predetermined period intervals to generate purchase pattern information for the first product.

The operation of the commodity buyer prediction supporting apparatus 110 based on the commodity purchase pattern will be described in detail, for example, in the following.

Assume that the information as shown in Table 1 is stored in the member database 111 and information shown in Table 2 is stored in the connection information database 112. [

If the pattern information extraction instruction for the members who have purchased "product 1 " is given by the administrator, the first member information extraction unit 113 includes a history of purchasing" product 1 " The information about the at least one first member can be extracted.

In relation to Table 1, since the members 1, 2, and 3 including the history of purchasing the item 1 exist, the first member information extracting unit 113 extracts the items Information about "member 1", "member 2", and "member 3" can be extracted from the information about at least one first member.

At this time, the first connection history information extracting unit 114 extracts the first connection history information from the connection information database 112 based on the extracted information on the "member 1", "member 2", and "member 3" It is possible to extract information on the daily web page connection history stored corresponding to the identifiers of the client terminals of "member 1 "," member 2 ", and "member 3 ".

The first connection history information extracting unit 114 extracts the first connection history information from the connection information database 112 and the first connection history information from the connection information database 112. [ The daily web page connection history stored corresponding to the identifiers of the client terminals of "member 1", "member 2", and "member 3" from "May 1, 2015" to "August 1, 2015" Can be extracted.

Then, the maximum access information extracting unit 115 extracts the maximum access information from "May 1, 2015" to "August 1, 2015" for the client terminals of "member 1", "member 2" From the information on the daily web page access history, the clients of "member 1", "member 2", and "member 3" are selected at periodic intervals selected from "May 1, 2015" to "August 1, 2015" It is possible to extract the access information for the web page that the terminal most frequently accesses.

In relation to this, the predetermined period is referred to as "5 days ", and from the first cycle" May 1, 2015 "to" May 5, 2015 "," Member 1 "," Member 2 " "Is the web page accessed most by the client terminal of the client terminal" A web page ", and between the" May 6, 2015 "and the" May 10, 2015 " B web page "is the most accessed web page by the client terminal of" member 1 "and" client 3 ", the maximum access information extracting unit 115 extracts the maximum access information from" May 1, 2015 " May 5th ", the access information for" A Web page "can be extracted as the access information for the most accessed web page. From the second period" May 6, 2015 "to" May 10, 2015 B web page "can be extracted as the connection information for the most-accessed web page between the " B " and "

Thereafter, the pattern information generating unit 116 sequentially arranges the access information for the web page extracted for the predetermined period of "five days" to generate the purchase pattern information for the "product 1 ".

In this regard, the pattern information generation unit 116 may configure the purchase pattern information for the "product 1 " as shown in Table 3 below.

Cycle 1 cycle 2 cycles Three cycles 4 cycles 5 cycles ... Access to web pages A Web page access information B Access to web pages A Web page access information C Access to web pages B Access to web pages ...

According to an embodiment of the present invention, when the purchase pattern information for the first product is generated based on the purchase pattern information for the first product, The method may further include selecting a prospective buyer to purchase the first product, and then transmitting advertisement information on the first product to the prospective buyer.

In this regard, the merchandise buyer prediction support apparatus 110 based on the product purchase pattern according to the present invention includes a second member information extraction unit 120, a second connection history information extraction unit 121, a pattern matching selection unit 122, A prospective member selection unit 123, and an advertisement information transmission unit 124. [

The second member information extraction unit 120 extracts at least one second member that does not include the history of purchasing the first product from the member database 111 when the generation of the purchase pattern information for the first product is completed, Is extracted.

The second connection history information extracting unit 121 extracts from the connection information database 112, based on the information about the extracted at least one second member, a predetermined second period Information about the daily web page access history stored corresponding to the identifier of the client terminal of the at least one second member.

The pattern matching selection unit 122 selects the pattern matching unit 122 based on the information on the daily web page access history for the selected second period for each of the client terminals of the at least one second member, The client terminal of at least one third member having access history information of the same web page at the same periodic interval as the access information of the web page extracted by the predetermined period interval.

The prospective member selection unit 123 selects the at least one third member as a prospective member for the first commodity.

The advertisement information transmission unit 124 transmits advertisement information about the first product to the client terminal of the at least one third member.

Hereinafter, the process of transmitting the advertisement information for the first product to the selected prospective members by selecting a prospective member for purchasing the first commodity based on the purchase pattern information for the first commodity Will be described in detail.

First, it is assumed that the purchase pattern information for the "product 1" is generated in the pattern information generation unit 116 and the purchase pattern information as shown in Table 3 is generated.

At this time, the second member information extracting unit 120 can extract information on at least one second member that does not include the history of purchasing "product 1 " from the member database 111. [

If the member database 111 is structured as shown in Table 1, the second member information extracting unit 120 extracts, for the at least one second member, information about "member 4" and "member 5" Information can be extracted.

Then, the second connection history information extracting unit 121 extracts from the connection information database 112, based on the extracted information on the "member 4" and the "member 5" Information on the daily web page access history stored corresponding to the identifiers of the client terminals of "member 4" and "member 5 " for the selected second period can be extracted.

Regarding the above-mentioned first period, from the "May 1, 2015" to the "August 1, 2015", as in the above-described example, the selected second period is "May 2015 1 day "to" August 1, 2015 ". At this time, the selected second period may be automatically set to a random period having the same length as the selected first period, or may be a period set by the administrator to have the same length as the selected first period .

In the present embodiment, it is assumed that the selected second period is from "September 1, 2015" to "December 1, 2015".

At this time, the second connection history information extracting unit 121 extracts, from the connection information database 112 based on the extracted information on the "member 4" and the "member 5" from "September 1, 2015" Quot ;, " December 1 ", information on the daily web page access history stored corresponding to the identifiers of the client terminals of "member 4 "

Then, the pattern matching selection unit 122 selects the daily web page access history from "September 1, 2015" to "December 1, 2015" for each of the client terminals of "member 4" Of the client terminals of the "member 4" and the "member 5" based on the information on the purchase order of the product "1" shown in the above Table 3 It is possible to select the client terminal of at least one third member having the connection history of the same web page as the connection history at the periodic interval.

Regarding the information on the daily web page access history from "September 1, 2015" to "December 1, 2015" for the client terminal of "Member 4" If there is a web page access history identical to the access information for the web page shown in Table 3 for each cycle between "December 1, 2015", the pattern matching selection unit 122 selects "4" and "5" The client terminal of "member 4" among the client terminals can be selected.

Thereafter, since the Web page connection pattern of the client terminal of "member 4" matches the purchase pattern of "commodity 1" shown in the above-mentioned Table 3, the purchase prospective member selecting section 123 sets "member 4" "Can be selected as a prospective purchasing member.

Then, the advertisement information transmission unit 124 can transmit advertisement information for "product 1" to the client terminal of "member 4 ".

As a result, the merchandise buyer prediction support device 110 based on the product purchase pattern according to the present invention stores the purchase pattern information for the specific product on the basis of the web page connection pattern for each specific period during a specific period of time A member having a web page access pattern matching the purchase pattern information of the specific commodity among the members who have not purchased the specific commodity after the generation of the specific commodity is selected as a prospective purchasing member for the specific commodity, It is possible to carry out a promotion for purchasing a commodity to members who are likely to purchase the specific commodity in the future rather than the members who have already purchased the specific commodity by transmitting advertisement information about the commodity, can do.

At this time, according to an embodiment of the present invention, the merchandise buyer prediction support device 110 based on the product purchase pattern may further include a purchase pattern inducing message transmission unit 125.

If the at least one third member is selected as a prospective purchasing member for the first commodity, the purchase pattern inducing message transmitting unit 125 transmits the purchase pattern guiding message to the at least one third member of the client terminals of the at least one second member. The client terminal of the at least one fourth member excluding the client terminal is notified that the client terminal of the at least one fourth member is connected to the client terminal at the same cycle interval as the predetermined cycle, (Uniform resource locator) information for the web page matched with the access information for the web page extracted for each of the predetermined periodic intervals.

For example, as in the above-described example, the purchase pattern information for "commodity 1" is generated as shown in Table 3, and the member 4 is selected as the prospective purchasing member for purchasing the commodity 1, Assume that advertisement information for "product 1" is transmitted to the terminal.

At this time, the purchase pattern inducing message transmission unit 125 transmits the purchase pattern inducing message 125 to the " commodity 1 "among the" member 4 "and the" member 5 "selected as the member who has not purchased the" commodity 1 "in the second member information extracting unit 120 For the client terminal of the "member 5" other than the "member 4" selected as the prospective purchasing member for the expected purchase member, And transmits the message including the access URL information for the web page matched with the access information for the web page for each period in Table 3 at the same periodic interval as the predetermined period.

That is, as shown in Table 3 above, the purchase pattern inducing message transmission unit 125 transmits, to the client terminal of "member 5 ", URL information about" A web page " Message can be transmitted. In the two cycles, a message in which URL information for the "B web page" is inserted can be transmitted. In the third cycle, It is possible to transmit a message in which URL information for each web page is inserted so as to match with Table 3 above.

Thus, the commodity buyer prediction support apparatus 110 based on the commodity purchase pattern displays the message in which the " member 5 "inserts the web page access URL information of the pattern matching the purchase pattern information of" commodity 1 & , It is guided to connect to the web page in the same manner as the purchase pattern of "goods 1 ", so that when the later time elapses, the" member 5 " It is possible to increase the purchase probability of "product 1 ".

FIG. 2 is a flowchart illustrating a method for predicting a product buyer based on a product purchase pattern according to an embodiment of the present invention.

In step S210, information on a plurality of members who have joined the online shopping mall and product purchase history information on products purchased by the plurality of members in the online shopping mall are stored in correspondence with each other and stored do.

In step S220, an access information database in which identifiers of the client terminals of the plurality of members and information on daily web page access histories of the client terminals of the plurality of members are stored corresponding to each other is maintained.

In step S230, when a pattern information extraction command for the members who have purchased the first product by the administrator is applied, the pattern information extracting unit extracts, for the first member including the history of purchasing the first product from the member database, Information is extracted.

In step S240, based on the extracted information on the at least one first member, it is stored corresponding to the identifier of the client terminal of the at least one first member during the first period selected from the connection information database Information about the daily web page access history is extracted.

In step S250, the information on the daily web page connection history for the selected first period is transmitted to the client terminal of the at least one first member at least every predetermined period interval within the selected first period, The client terminal of one first member extracts access information on the web page most accessed by the client terminal of the first member.

In step S260, the access information for the web page extracted for each predetermined period is sequentially arranged to generate purchase pattern information for the first product.

According to an embodiment of the present invention, when a first connection request is received from a client terminal of a first member among the plurality of members, a method for supporting a product buyer based on the product purchase pattern generates a random number, Transmitting the random number to the client terminal of the first member after storing it in the connection information database as an identifier for the client terminal of the first member; Receiving from the client terminal of the first member information on connection information and connection date for the web page accessed by the client terminal of the first member together with the random number, and receiving, from the access information database After identifying an identifier for the client terminal of the first member, Storing the information on the connection information and the connection date of the web page of the client terminal of the first member so as to correspond to the identifier of the client terminal of the first member with respect to the information database.

In addition, according to an embodiment of the present invention, the method of supporting an expected product buyer based on the product purchase pattern may include a step of, when the generation of the purchase pattern information for the first product is completed, Extracting information about at least one second member that does not include at least one second member from the connection information database based on the extracted information about the at least one second member, Extracting information on a daily web page access history stored corresponding to an identifier of a client terminal of the at least one second member during a second predetermined period, Based on the information on the daily web page access history during the second predetermined period, At least one third member having access history information for the same web page at the same periodic interval as the access information for the web page extracted by the predetermined period interval among the client terminals of the at least one second member Selecting a client terminal, selecting the at least one third member as a prospective purchasing member for the first commodity, and transmitting the advertisement information for the first commodity to the client terminal of the at least one third member. The method may further include transmitting.

According to an embodiment of the present invention, when the at least one third member is selected as a prospective purchasing member for the first commodity, The client terminal of the at least one fourth member other than the client terminal of the at least one third member among the client terminals of the member, based on the access information for the web page extracted by the predetermined period interval, And transmitting the message including the access information for the web page matched with the access information for the web page extracted by the predetermined period interval at the same periodic interval as the predetermined period have.

The method for predicting the buyer based on the product purchase pattern according to the embodiment of the present invention has been described above with reference to FIG. Here, the method of supporting a product buyer prediction based on a product purchase pattern according to an embodiment of the present invention may correspond to a configuration of an operation of the product buyer prediction support device 110 based on the product purchase pattern described with reference to FIG. 1 , And a detailed description thereof will be omitted.

The method of supporting an expected product buyer based on a product purchase pattern according to an embodiment of the present invention can be implemented by a computer program stored in a storage medium for execution through a combination with a computer.

In addition, the method of supporting an expected product buyer based on a product purchase pattern according to an embodiment of the present invention may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and configured for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, the present invention has been described with reference to particular embodiments, such as specific constituent elements, and limited embodiments and drawings. However, it should be understood that the present invention is not limited to the above- And various modifications and changes may be made thereto by those skilled in the art to which the present invention pertains.

Accordingly, the spirit of the present invention should not be construed as being limited to the embodiments described, and all of the equivalents or equivalents of the claims, as well as the following claims, belong to the scope of the present invention .

110: a product buyer prediction support device based on a product purchase pattern
111: Member Database 112: Connection Information Database
113: first member information extracting unit 114: first connection history information extracting unit
115: maximum access information extracting unit 116: pattern information generating unit
117: identifier generation unit 118: connection information reception unit
119: Connection information storage unit 120: Second member information extracting unit
121: second connection history information extracting unit 122: pattern matching selection unit
123: Prospective member selection member 124: Ad information transmission unit
125: purchase pattern induction message transmission unit

Claims

A member database in which information on a plurality of members who have joined the online shopping mall and product purchase history information on products purchased by the plurality of members in the online shopping mall are stored in correspondence with each other;
An access information database in which identifiers of client terminals of the plurality of members and information on daily web page access histories of the client terminals of the plurality of members correspond to each other and stored;
And an information extraction unit for extracting information on at least one first member including a history of purchasing the first product from the member database when the pattern information extraction command for the members who purchased the first product by the manager is approved, 1 member information extracting unit;
A first member that is stored in association with an identifier for the client terminal of the at least one first member during a predetermined first period from the connection information database based on the extracted information about the first member, A first connection history information extracting unit for extracting information on a web page connection history;
From the information about the daily web page access history for the selected first period to the client terminals of the at least one first member, for each period interval selected within the selected first period, A maximum access information extracting unit for extracting access information on a web page most accessed by a client terminal of the client terminal;
A pattern information generating unit for sequentially arranging access information for a web page extracted for each of the predetermined period intervals to generate purchase pattern information for the first product;
Extracting information on at least one second member that does not include a history of purchasing the first product from the member database when the generation of the purchase pattern information for the first product is completed, ;
Wherein the client terminal of the at least one second member has the same length as the selected first period from the access information database based on the information about the extracted at least one second member, A second connection history information extracting unit for extracting information on a daily web page connection history stored corresponding to the identifier;
Wherein the client terminals of the at least one second member are connected to the client terminals of the at least one second member based on the information about the daily web page access history for the selected second period for each of the client terminals of the at least one second member, A pattern matching selection unit for selecting at least one client terminal of a third member having access history for the same web page as access history at the same periodic interval as the access information for the extracted web page;
A prospective member selection unit for selecting the at least one third member as a prospective member for the first commodity; And
An advertisement information transmission unit for transmitting advertisement information on the first product to the client terminal of the at least one third member,
Based on the product purchase pattern.

The method according to claim 1,
When a first connection request is received from a client terminal of a first member among the plurality of members, generates a random number, stores the random number as an identifier for the client terminal of the first member in the connection information database, An identifier generating unit for transmitting the generated identifier to the client terminal of the first member;
Wherein the first member is connected to the client terminal of the first member by the client terminal of the first member together with the random number and the connection information and the connection date of the web page accessed by the client terminal of the first member A connection information receiving unit for receiving the connection information; And
The first member is identified by the identifier of the client terminal of the first member from the connection information database based on the received random number, and the identifier of the client terminal of the first member is registered in the connection information database to correspond to the identifier of the client terminal of the first member. An access information storage unit for storing information on connection information and connection date for the web page of the client terminal;
Based on the product purchase pattern.

delete

The method according to claim 1,
If the at least one third member is selected as a prospective purchasing member for the first commodity, at least one fourth of the client terminals of the at least one third member, excluding the client terminal of the at least one third member, A web page extraction step of extracting web pages extracted by the predetermined period intervals at the same cycle interval as the predetermined period based on the connection information for the web page extracted for each of the client terminals of the member, (Uniform resource locator) information for a web page matched with the connection information for the web page,
Based on the product purchase pattern.

Maintaining a member database in which information on a plurality of members who have joined the online shopping mall and product purchase history information on products purchased by the plurality of members in the online shopping mall are stored in correspondence with each other;
Maintaining an access information database in which identifiers of client terminals of the plurality of members and information of daily web page access histories of client terminals of the plurality of members correspond to each other and stored;
Extracting information on at least one first member including a history of purchasing the first product from the member database when a pattern information extraction command for members who purchased the first product by the manager is approved, ;
A first member that is stored in association with an identifier for the client terminal of the at least one first member during a predetermined first period from the connection information database based on the extracted information about the first member, Extracting information on a web page connection history;
From the information about the daily web page access history for the selected first period to the client terminals of the at least one first member, for each period interval selected within the selected first period, Extracting connection information for a web page most accessed by a client terminal of the client terminal;
Sequentially arranging access information for a web page extracted for each of the predetermined period intervals to generate purchase pattern information for the first product;
Extracting information on at least one second member that does not include a history of purchasing the first product from the member database when generation of purchase pattern information for the first product is completed;
Wherein the client terminal of the at least one second member has the same length as the selected first period from the access information database based on the information about the extracted at least one second member, Extracting information on the daily web page access history stored corresponding to the identifier;
Wherein the client terminals of the at least one second member are connected to the client terminals of the at least one second member based on the information about the daily web page access history for the selected second period for each of the client terminals of the at least one second member, Selecting a client terminal of at least one third member having access history for the same web page as access history at the same periodic interval as the access information for the extracted web page;
Selecting the at least one third member as a prospective purchasing member for the first commodity; And
Transmitting advertisement information for the first product to the client terminal of the at least one third member
Based on the product purchase pattern including the product purchase pattern.

6. The method of claim 5,
When a first connection request is received from a client terminal of a first member among the plurality of members, generates a random number, stores the random number as an identifier for the client terminal of the first member in the connection information database, Transmitting to the client terminal of the first member;
Wherein the first member is connected to the client terminal of the first member by the client terminal of the first member together with the random number and the connection information and the connection date of the web page accessed by the client terminal of the first member Receiving; And
The first member is identified by the identifier of the client terminal of the first member from the connection information database based on the received random number, and the identifier of the client terminal of the first member is registered in the connection information database to correspond to the identifier of the client terminal of the first member. Storing information on connection information and access date for the web page of the client terminal
Based on the product purchase pattern.

delete

6. The method of claim 5,
If the at least one third member is selected as a prospective purchasing member for the first commodity, at least one fourth of the client terminals of the at least one third member, excluding the client terminal of the at least one third member, A web page extraction step of extracting web pages extracted by the predetermined period intervals at the same cycle interval as the predetermined period based on the connection information for the web page extracted for each of the client terminals of the member, (Uniform resource locator) information for the web page matched with the access information for the web page
Based on the product purchase pattern.

A computer-readable recording medium recording a program for performing the method of any one of claims 5, 6, and 8.

A computer program stored in a storage medium for executing the method of any one of claims 5, 6, and 8 through a combination with a computer.