KR101585670B1

KR101585670B1 - Method for providing customized shopping service

Info

Publication number: KR101585670B1
Application number: KR1020150055233A
Authority: KR
Inventors: 권오석
Original assignee: 주식회사 기가코리아
Priority date: 2015-04-20
Filing date: 2015-04-20
Publication date: 2016-01-14

Abstract

A method of providing a customized shopping service, collecting text and personal information input from a user terminal from a user terminal and synchronizing the user characteristic keyword with time or place to convert the user big data into a database, a Web crawler, Collecting social common big data, which is event information synchronized with time or place, and converting the same into a database; and when receiving a shopping activation event for activating a shopping mall page from a user terminal, matching rate of user big data and social common big data If the predetermined matching rate is exceeded, extracting with a user's recommended keyword, synchronizing and filtering the time or place of the extracted recommended keyword, reconstructing the layout of the first page of the shopping mall page with the filtered result, And reconstructed shopping page Transmitting the first page to the user terminal.

Description

METHOD FOR PROVIDING CUSTOMIZED SHOPPING SERVICE [0002]

The present invention relates to a method of providing a customized shopping service.

Recently, as programs and sites for extracting big data from a user terminal and providing a user-customized service have been increasing, an advertiser has been used as means for a target advertisement. In order to provide a user-tailored search result at a portal site, And the use of big data is increasing.

At this time, as a method of providing personalized shopping, a personalized webzine is provided by using the SNS, and a customized online shopping is performed by using the webzine. In this regard, Korean Patent Laid-Open Publication No. 2013-0028528 (published on March 23, 2013), which is a prior art, compares and analyzes personal information of users and sellers, classifies fashion information of users and connects shopping malls of sellers, Discloses a method of providing information in a data format so that a user can make a purchase using the data.

However, the fashion items can be divided in various ways according to the style definition. When the fashion imagined by the user in the head and the words of the kind used by the user do not match, completely different items are provided, Since information is provided in the direction, only meaningless data may be provided, which can lead directly to spam. In addition, it is difficult to precisely provide customized services because it is difficult to accurately grasp needs, such as when an image intended by a user is different from an actual image.

In an embodiment of the present invention, text and personal information input from a user terminal are stored in synchronization with a keyword of time, place, time, or object, and social common big data such as social issues are also stored in time or place, When the matching rate of the user big data and the common big data exceeds the preset matching rate and the user activates the shopping mall page, the activated shopping mall page is stored with the keyword having the matching rate exceeding the matching keyword The present invention can provide a customized shopping service providing method that allows a user to access a screen that accurately reflects his or her needs when the user activates the shopping mall. It should be understood, however, that the technical scope of the present invention is not limited to the above-described technical problems, and other technical problems may exist.

According to an aspect of the present invention, there is provided an information processing method including collecting text and personal information input by a user terminal from a user terminal and synchronizing user characteristic keywords with time or place, Collecting social common big data, which is event information synchronized with time or place, through a web crawler, and creating a database; when receiving a shopping activation event for activating a shopping mall page from a user terminal, Extracting the user recommendation keyword when the matching rate of the big data and the common big data exceeds the preset matching rate, synchronizing the time or place of the extracted recommended keyword and filtering the filtered result, Reorganize the layout of the first page of the page The transmitting step, and the first page of the reconstructed shopping page to the user terminal.

According to any one of the tasks of the present invention described above, by matching a keyword to a time or place, it is possible to enumerate goods that meet the user's needs even if the user does not search for any object on the shopping mall page, When activating a page, it can be recognized that it is a shopping mall for the user alone. Therefore, the loyalty and the frequency of use of the shopping mall are increased, and the reorganization of the page alone can increase the rate of the purchase due to the list of items suited to needs.

1 is a block diagram illustrating a system for providing a customized shopping service according to an exemplary embodiment of the present invention.
FIG. 2 is a block diagram illustrating a customized shopping service providing server shown in FIG. 1. Referring to FIG.
FIG. 3 is a view for explaining an embodiment in which the customized shopping service shown in FIG. 1 is implemented.
FIG. 4 is a view for explaining another embodiment in which the customized shopping service shown in FIG. 1 is implemented.
FIG. 5 is a diagram illustrating a process in which data is transmitted and received between the respective components included in the customized shopping service providing system of FIG. 1 according to an embodiment of the present invention.
6 is a flowchart illustrating a method of providing a customized shopping service according to an exemplary embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. 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 order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as "including" an element, it is to be understood that the element may include other elements as well as other elements, And does not preclude the presence or addition of one or more other features, integers, steps, operations, components, parts, or combinations thereof.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram illustrating a system for providing a customized shopping service according to an exemplary embodiment of the present invention. Referring to FIG. 1, the customized shopping service providing system 1 may include a user terminal 100, a customized shopping service providing server 300, and a shopping mall server 400. However, since the customized shopping service providing system 1 of FIG. 1 is only one embodiment of the present invention, the present invention is not limited to FIG.

At this time, the respective components of FIG. 1 are generally connected through a network 200. For example, as shown in FIG. 1, a user terminal 100 and a customized shopping service providing server 300 may be connected through a network 200. In addition, the customized shopping service providing server 300 may be connected to the shopping mall server 400 through the network 200. [ The user terminal 100 may be connected to the shopping mall server 400 through the network 200. [

Here, the network 200 refers to a connection structure capable of exchanging information between nodes such as terminals and servers. An example of the network 200 is an Internet, a LAN (Local Area Network) ), Wireless LAN (Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), 3G, 4G, LTE, Wi-Fi and the like. Also, the user terminal 100, the customized shopping service providing server 300, and the shopping mall server 400 shown in FIG. 1 are not limited to those shown in FIG.

The user terminal 100 may be a terminal connected to the shopping mall server 400. At this time, the user terminal 100 may be a terminal for inputting text and performing a search using text as a keyword. The user terminal 100 may be a terminal that monitors the input text and the retrieved text and transmits the monitored text to the customized shopping service providing server 300. When the user terminal 100 accesses a page of the shopping mall server 400 based on user information mapped at a time or place provided by the customized shopping service providing server 300, And may be a terminal that displays a reconfigured user-customized page. That is, when the user terminal 100 accesses the shopping mall page, the same shopping mall page is not displayed uniformly to all users, but a page for only the user reconfigured by the customized shopping service providing server 300 is displayed Terminal. Here, the user terminal 100 may be implemented as a terminal capable of connecting to a remote server or terminal through the network 200. [ Also, the user terminal 100 may be implemented as a computer capable of accessing a remote server or terminal through the network 200. Here, the computer may include, for example, a notebook, a desktop, a laptop, and the like. Also, the user terminal 100 may be implemented as a terminal capable of connecting to a remote server or terminal through the network 200. [ For example, the face registration terminal 100 may be a wireless communication device that is guaranteed to be portable and mobility, such as a Personal Communication System (PCS), a Global System for Mobile communications (GSM), a Personal Digital Cellular (PDC) ), A PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication) -2000, Code Division Multiple Access (CDMA) -2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) based wireless communication device, such as a smartphone, a smartpad, a tablet PC, and the like.

The customized shopping service providing server 300 may be a server that collects text and personal information input from the user terminal 100 and converts the text and database into big data. In addition, the customized shopping service providing server 300 may be a server for mapping text and personal information input from the user terminal 100 to a time or place and storing the same. The customized shopping service providing server 300 can collect social common data using a web crawler, and can also store and map social common data to a time or place. In addition, the customized shopping service providing server 300 may collect real-time popular search words in real time or periodically, and may also store a time, place, time, or source in which popular search terms are extracted, Lt; / RTI > Then, the customized shopping service providing server 300 calculates the matching rate of the user big data and the social common big data, extracts the keyword which is a superordinate concept of the data exceeding the preset matching rate, You can filter the list of items or items and reconfigure the first page of the shopping page with the filtered list of items. When the event for activating the shopping mall page is generated from the user terminal 100, the reconstructed first page can be displayed. Accordingly, the customized shopping service providing server 300 can synchronize the user's data and the social common data to the time or place and reconstruct differently for each user, thereby grasping the needs of the user before the user performs the search , And a shopping mall page is reconstructed and displayed in a product suitable for the identified needs, thereby providing a highly satisfied artificial intelligent shopping mall page to the user. At this time, the customized shopping service providing server 300 may be implemented as a terminal capable of connecting to a remote server or terminal through the network 200. In addition, the customized shopping service providing server 300 may be implemented as a computer capable of connecting to a remote server or terminal through the network 200. [ Here, the computer may include, for example, a notebook, a desktop, a laptop, and the like.

The shopping mall server 400 may be a server that provides an application, a web page, or an app page. At this time, when the user terminal 100 activates an application, a web page, or an application page provided by the shopping mall server 400, a product list is extracted from the user keyword received from the customized shopping service providing server 300, Or may be a server that controls the display of the first page reconstructed from the customized shopping service providing server 300 at the user terminal 100. [ At this time, the shopping mall server 400 may be implemented as a terminal capable of connecting to a remote server or terminal through the network 200. In addition, the shopping mall server 400 may be implemented as a computer capable of connecting to a remote server or terminal through the network 200. [ Here, the computer may include, for example, a notebook, a desktop, a laptop, and the like.

FIG. 2 is a diagram for explaining a customized shopping service providing server shown in FIG. 1, FIG. 3 is a view for explaining an embodiment in which the customized shopping service shown in FIG. 1 is implemented, FIG. 5 is a view for explaining another embodiment in which a customized shopping service shown in FIG.

2, a customized shopping service provision server 300 according to an exemplary embodiment of the present invention includes a first database creation unit 310, a second database creation unit 320, an extraction unit 330, a reconfiguration unit 340 A transmitting unit 350, a real-time collecting unit 360, and a customizing unit 370. [

A customized shopping service providing server 300 according to an embodiment of the present invention or another server (not shown) operating in conjunction with the customized shopping service providing server 300 may transmit a customized shopping service application, a program, 200 to the terminal, the terminal can install or open an application, a program, a web page, and the like for the service. It may also be run on the terminal using a script executed in the web browser. Here, a web browser is a program that enables a WWW (World Wide Web) service, and is a program for receiving and displaying hypertext described in hypertext mark-up language (HTML), for example, Netscape (Netscape) An Explorer, chrome, and the like. Further, the application refers to an application on the terminal, for example, an app (app) running on a mobile terminal (smart phone). An app can be downloaded and installed from the mobile app marketplace, a virtual marketplace where mobile content can be bought and sold freely.

At this time, the user terminal 100, the customized shopping service providing server 300, and the shopping mall server 400 may be connected to each other to be able to communicate by the network 200, Means that the server 300 creates a communication object at a communication contact for communication with a terminal connected to the network 200. [ The personalized shopping service providing server 300 can exchange data with each other through the communication object.

The first database generating unit 310 may collect the text and personal information input from the user terminal 100 from the user terminal 100 and synchronize the user characteristic keyword with time or place to convert the user big data into a database. Here, the text input from the user terminal 100 may be text such as user personal information input for settlement, delivery, or a keyword input for a search result desired by the user. Here, the user big data may be classified into at least one category of age, current position, sex, occupation, residential area, shopping mall page use time, interested goods, interesting contents, And the items of interest, interesting contents, interest, and search keywords may be mapped and stored at a time or place. In addition, the first database generation unit 310 may collect the location information of the user terminal 100 and map the location information to the user characteristic keyword. For example, suppose that a user-feature keyword includes a C-number and a user participates in a concert of a C-singer, At this time, the user terminal 100 can extract the C-valued user characteristic keyword from the A place. That is, it can be inferred that the place A is a concert venue of the C artist from the collected time, and when the shopping mall page is activated in the user terminal 100, the album display of the C artist is displayed, It is possible to increase the probability of purchasing and to grasp the artificial intelligence function for the shopping mall, and to increase the loyalty to the shopping mall.

The second database generating unit 320 may collect the social common big data, which is event information synchronized with time or place, through a web crawler and convert it into a database. Here, the social common Big data may be stored by mapping the season information, weather information, monthly and weekly hot issue information, daily social issue information, anniversary or event information to the time and place. Hot issue information may also include age-specific social issues, specific events that have occurred recently or in the past. Here, the social common big data can be mapped together with extracted object data from which time, place, time, or social common big data are extracted. For example, assuming that a 40-week housewife's A-entertainer's goods of a C-show airing at 8:00 on weekends are popular, it can be stored in the same form as a C-drama-8-week-end celebrity-40-week housewife. Here, assuming that the social common big data is the C drama, it can be inserted as a header or a tag at 8:00 on weekends, A celebrity, and 40th housewife.

When the shopping activating event for activating the shopping mall page is received from the user terminal 100, if the matching rate of the user big data and the social common big data exceeds the preset matching rate, the extracting unit 330 extracts the user recommended keyword . Here, the extracting unit 330 may extract the products matched to the user big data and the social common big data, respectively, at predetermined ratios. For example, if the type of the article extracted by the user big data is A and the type of the article extracted by the common common big data is B, the ratio of A: B can be extracted as 7: 3. At this time, when the retrieval rate of the social common big data exceeds a preset ratio, the ratio of A: B can be extracted as 6: 4. Here, when the extracting unit 330 receives the shopping activation event from the user terminal 100, it may receive the time at which the shopping activation event occurred or the location of the user terminal 100. [ If there is the social common big data mapped with the received time and location, the re-configuring unit 340 can reconstruct the layout of the first page of the shopping mall page with the social keyword based on the social common big data, The unit 350 may transmit the first page of the reconfigured shopping mall page to the user terminal 100.

The reconfiguration unit 340 may synchronize and filter the time or location of the extracted recommendation keyword and reconfigure the layout of the first page of the shopping mall page using the filtered result as a search value. For example, assume that the first page of a shopping mall page displays A, B, and C at once. At this time, the reconfiguration unit 340 may perform the filtering, search the article with the search result as the filtered result, and configure the layout of the first page of the shopping mall page with the retrieved article. For example, assuming that the type of the filtered article is B, the first page may be configured by displaying various kinds of B, or when the ratio of the user big data and the common big data is configured as a predetermined ratio , The ratio between the user big data and the social common big data may be 7: 3 or 6: 4. In this case, the ratio may be the number of articles or the screen area of the first page.

The transmitting unit 350 may transmit the first page of the reconstructed shopping mall page to the user terminal 100. [ Accordingly, when the shopping mall page is activated, the user terminal 100 can display a list of articles matching the needs of the user, rather than displaying a list of uniformized articles. Here, the first page of the shopping mall page is composed of at least one layout, at least one layout includes at least one article, and the ratio of articles corresponding to the search value based on the user big data is based on social common big data May be greater than the ratio of the article corresponding to the search value.

The real-time collecting unit 360 can collect real-time popular queries in real time using the web crawler and store them in synchronization with time. Here, if the matching rate between the real-time popular search word and the user big data is greater than the preset matching rate, the result value based on the extracted keyword extracted from the real-time popular search word and the user big data can be displayed on the first page of the shopping mall page. Alternatively, when the search ratio of the real-time popular search word exceeds the predetermined ratio, the ratio of the articles according to the real-time popular search word may be increased beyond a predetermined ratio. For example, if the matching ratio between the user Big data and the real-time popular search words is 50% or more, the 7: 3 ratio of the list of the existing user big data and the list of the articles based on the real- have.

That is, when the matching rate between the real-time popular search word and the user big data is larger than the preset matching rate, the shopping mall page based on the user big data and the recommended keyword extracted from the common common big data, You can update in real time with shopping mall page. The first page of the shopping mall page includes the matching rate between the real time popular search word and the user big data, the matching rate between the user big data including the user interest information and the social common big data including the hot information, anniversary or event information Can be updated in real time or periodically by priority or weight of the order of social common big data including social common big data, weather information and seasonal information. Alternatively, it may be updated only when the user activates the shopping mall page to minimize networking resources and computing resource consumption of the server.

The customizing unit 370 can collect balance information and charge information of the user terminal 100 from the user terminal 100. [ If the difference between the collected balance information and the charge information is larger than the average balance information of the user terminal 100, the customizing unit 370 may compare the price corresponding to the difference, the user big data and the matching rate to a predetermined matching rate You can update the first page of a shopping mall page based on large keywords. Here, the customizing unit 370 may collect balance information and charge information of the user terminal 100 from the user terminal 100, and the difference between the collected balance information and the charge information may be stored in the user terminal 100. [ When the information extracted from the regional and seasonal information of the occupation group of the user terminal 100 is in a low season, the user big data and the matching rate are larger than the predetermined matching rate, You can update the first page of your shopping mall. For example, if the account balance of the user A who has been overcrowded is higher than the average balance, it means that the user made a profit this year but is now unavailable. Therefore, by displaying the travel product on the first page, have.

In addition, the customizing unit 370 can grasp the input history and the search result when the keyword A is continuously searched or a keyword including the search word A is input. For example, if the word "New York Travel" is first entered, it is the stage where the user is gathering data to travel in New York, so basic knowledge about New York travel is searched on the portal site, Can be displayed on the shopping mall site. At this time, the customizing unit 370 allows the user to display the beginner-intermediate-advanced knowledge based on the assumption that the user has background knowledge as the search frequency of the user increases. For example, if you display a list of popular destinations that anyone can know about in the beginner's knowledge, you can display the results according to the order in which the trips are scheduled, or to introduce an unknown destination as the number of searches increases. For example, if you search for a New York-based hotel and flight, the first time you search, you will be able to display travel destinations in order of frequency, visa information to travel to New York, and how to read public transportation in New York. You may.

The customized shopping service of the customized shopping service providing server having the above-described configuration will be described below in detail with reference to FIGS. 3 and 4. FIG.

3, it is assumed that (a) the user normally likes the A singer and the position of the current time of the user terminal 100 is the same as the position and time at which the A concert opens. At this time, when retrieving the current position of the user terminal 100, the customized shopping service providing server 300 searches for a social common event according to the current position and time, and when the social common event is the A concert, Collects information on the shopping mall and reconstructs the shopping mall screen. Then, (b) when the shopping mall page is activated in the user terminal 100, the album information of the A-number and the list of the sales album are displayed. Here, if the time of the A concert and the shopping mall page activation time are close to each other, the proportion of information about the A album can be set to be larger. (C) Suppose that the user is a fan of the B drama and the C entertainer, and the current B drama is broadcasted. At this time, the customized shopping service providing server 300 collects the information of the B drama and searches for clothes and accessories that the C entertainer currently wore together together and reconstructs them into a shopping mall screen. Then, (d) when the user activates the shopping mall page using the user terminal 100, the information of the B drama is displayed together with the clothes and accessories which the C entertainer wears. And (e) assume that the user is located in a rural area and employs agriculture. (F) If the user activates the shopping mall page by using the user terminal 100, the user can display the travel information, and the money is paid for If you are saving more than usual and if you do not want to spend money, you can improve your shopping mall satisfaction by recommending travel products.

Referring to FIG. 4, the user big data and the social common big data are collected into a database, and the data classification operation is performed primarily. That is, the data can be classified using matching information of the real-time popular search ranking with the collected data, matching information of the social issue information and the user interest, and event information of the specific anniversary, weather, and seasonal information. The shopping mall product information data can be secondarily classified based on the user big data and the social common data. Then, after extracting a product list meaningful to the user, the reconfigured screen is displayed when the log-in (or activation) event of the user terminal 100 occurs in the screen configuration wait state for each user.

The method of providing a customized shopping service according to an embodiment of the present invention is a method for providing a customized shopping service according to age, region, sex, occupation, residential area, activity time, usage time, interest, average purchase amount, Data, and collecting social common big data including seasonal information, weather information, monthly and weekly hot issue information, daily social issue information, and specific anniversary event information. Then, when reconstructing the shopping mall page, the ratio of the goods according to the user big data and the social common big data is set to 7: 3, and the priority of the collected data extraction application is firstly classified into the real- Second, match information of social issue information and user interest, third, past or present event information of a specific anniversary, and fourth weather or season information. Assuming that the weighted ratio of the extracted data is 100, the ratio of the user big data base and the social common big data base can be set to 7: 3 in the whole product information. In this case, when the real-time popular search word and the user interest matching ratio are 50% or more, the ratio of the user big data base and the social common big data base can be set to 6: 4 in the whole product information. Another exception is that if the match between the user's ranking and the user's ranking is more than 50%, the ratio of the user big data base and the social common big data base can be set to 6: 4 in the whole product information. In addition, the data update cycle may reflect the reference point of the collected data every hour, and in exceptional cases, when the search ratio of the rapidly rising popular search words is 40% or more, And can also reflect eventfulness information by the operator or manager.

2 and 4 can be easily deduced from the same or described contents of the customized shopping service providing method described above with reference to FIG. 1, .

FIG. 5 is a diagram illustrating a process in which data is transmitted and received between the respective components included in the customized shopping service providing system of FIG. 1 according to an embodiment of the present invention. Hereinafter, an example of a process of transmitting and receiving a signal according to an embodiment of the present invention will be described with reference to FIG. 5. However, the present invention is not limited to such an embodiment, and according to various embodiments described above, It is apparent to those skilled in the art that the process of transmitting and receiving the shown data can be changed.

Referring to FIG. 5, the user terminal 100 transmits text and personal information to the customized shopping service providing server 300 (S5100).

Then, the customized shopping service providing server 300 converts the user big data into a database in synchronization with time and place (S5200).

Here, the customized shopping service providing server 300 collects social common big data and converts it into a database (S5300).

At this time, the customized shopping service providing server 300 matches the user big data and the social common big data (S5500), and extracts a keyword whose matching rate exceeds the predetermined matching rate (S5600).

Then, the product list is filtered and arranged based on the extracted keyword (S5700). Here, the customized shopping service providing server 300 transmits the filtered and sorted goods list to the shopping mall server 400 and the user terminal 100 (S5800).

At this time, the user terminal 100 displays the goods list (S5810), and the personalized shopping service providing server 300 confirms whether the real-time search word matches the user big data (S5900) (S5910). &Lt; / RTI >

Then, if the customized shopping service providing server 300 transmits the goods list according to the keyword to the shopping mall server 400 and the user terminal 100, the user terminal 100 can display the goods list (S5930).

At this time, if there is a keyword matching time and place (S5940), the customized shopping service providing server 300 filters and arranges the product list based on the keyword (S5960), and if not exists, (S5950), and transmits the screen to the user terminal 100 and the shopping mall server 400 (S5970).

Accordingly, the user terminal 100 displays the goods list (S5980).

Here, the order between the above-described steps S5100 to S5980 is merely an example, but the present invention is not limited thereto. That is, the order between the above-described steps (S5100 to S5980) may be mutually varied, and some of the steps may be executed or deleted at the same time.

6 is a flowchart illustrating a method of providing a customized shopping service according to an exemplary embodiment of the present invention. Referring to FIG. 6, the customized shopping service providing server collects text and personal information input from a user terminal from a user terminal and synchronizes the user characteristic keyword with time or place to convert the user big data into a database (S6100).

Then, the personalized shopping service providing server collects social common big data, which is event information synchronized with time or place, through a web crawler and converts it into a database (S6200).

In addition, when receiving the shopping activation event for activating the shopping mall page from the user terminal, if the matching rate of the user big data and the social common data exceeds the preset matching rate, the server for providing the customized shopping service may extract (S6300).

Then, the customized shopping service providing server synchronizes and filters the time or place of the extracted recommended keyword, and reconstructs the layout of the first page of the shopping mall page using the filtered result as a search value (S6400).

Finally, the customized shopping service providing server transmits the first page of the reconstructed shopping mall page to the user terminal (S6500).

Here, the order between the above-described steps S6100 to S6500 is merely an example, but it is not limited thereto. That is, the order between the above-described steps S6100 to S6500 may be mutually varied, and some of the steps may be executed or deleted at the same time.

6 can be easily derived from the same or explained contents of the method of providing a customized shopping service through FIGS. 1 to 5, so that the description will be omitted. .

The method of providing a customized shopping service according to the embodiment described with reference to FIG. 6 may also be implemented in the form of a recording medium including instructions executable by a computer, such as an application or a program module executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

The method of providing a customized shopping service according to an embodiment of the present invention may be executed by an application installed in a terminal (which may include a program included in a platform or an operating system basically installed in the terminal) (I.e., a program) directly installed on a master terminal by a user via an application providing server such as an application store server, an application, or a web server associated with the service. In this regard, the above-described method of providing a customized shopping service according to an embodiment of the present invention is implemented in an application installed in a terminal or installed directly by a user (i.e., a program) Can be recorded on the medium.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics 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 entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

Claims

Collecting text and personal information input from a user terminal from a user terminal and synchronizing the user characteristic keyword with time or place to convert the user big data into a database;
Collecting social common big data, which is event information synchronized with a time or place, through a web crawler and converting it into a database;
When receiving a shopping activation event for activating a shopping mall page from the user terminal, if the matching rate of the user big data and the social common data exceeds a preset matching rate, Extracting a necessity as a purchase target using a keyword occurrence time or a position of a terminal as a keyword for recommendation;
Synchronizing a time or place of the extracted recommended keyword with a social keyword based on mapped social common data, filtering and reconstructing a layout of a first page of the shopping mall page as a search result; And
Transmitting a first page of the reconfigured shopping mall page to the user terminal; A method of providing a customized shopping service,
The social common Big Data may be stored in a time and location mapped to seasonal information, weather information, monthly and weekly hot issue information, daily social issue information, anniversary or event information, and when receiving a shopping activation event from the user terminal, And when there is a social common big data mapped with the received time and location, receiving the shopping activation event or the location of the user terminal, Reconfiguring the layout of the first page, and transmitting the first page of the reconfigured shopping mall page to the user terminal.

delete

The method according to claim 1,
Collecting real-time popular search terms in real time using the web crawler and storing them in synchronism with time; Further comprising:
Displaying a result value based on the extracted keyword extracted from the real time popular query and the user big data on the first page of the shopping mall page when the matching rate between the real time popular query and the user big data is greater than a preset matching rate In, customized shopping service delivery method.

The method according to claim 6,
If the matching rate between the real time popular search word and the user big data is greater than a preset matching rate, the shopping mall page based on the user big data and the recommendation keyword extracted from the common common big data, Based on a shopping mall page.

The method according to claim 6,
The first page of the shopping mall page is a social page including a matching rate between a real time popular search word and user big data, a user big data including user interest information, a matching rate between social common big data including the hot information, Wherein the priority is updated in real time by a priority or a weight of the order of social common big data including common big data, weather information and seasonal information.

The method according to claim 1,
Collecting charge information such as a price, a charge, or a charge amount, which is information extracted from the user terminal by region or season information of a user group of the user terminal; And
When the difference between the collected balance information and the charge information is larger than the average balance information of the user terminal, based on the price corresponding to the difference and the user big data and the matching rate greater than the predetermined matching rate, Updating the first page of the document; The method further comprising the steps of:

The method according to claim 1,
Collecting balance information and charge information of the user terminal from the user terminal; And
When the difference between the collected balance information and the charge information is larger than the average balance information of the user terminal and the information extracted from the region and season information of the occupation group of the user terminal is a low season, Updating the first page of the shopping mall based on a travel keyword that is greater than the set matching rate
The method further comprising the steps of: