KR20190079582A - Service mehtod for recommending gifts and server usingn the same - Google Patents

Abstract

A method of recommending a service according to an exemplary embodiment of the present invention includes the steps of: requesting a preference of a user of a second terminal from a first terminal to a recommendation recommendation server; A second step of querying, by the gift recommendation server, the keyword preference related to the recommendation gift from the second terminal; A third step of creating, by the gift recommendation server, a product group of a recommended gift corresponding to a query answer created at the second terminal; Collecting, from the outside, a recommended gift corresponding to the product group in the gift recommendation server, and providing list information including the collected recommended product information to the first terminal; Selecting and paying a payment recommendable gift among the list information at the first terminal; And selecting the at least one company handling the recommended gift selected by the gift recommendation server and requesting the selected user to the selected company to deliver or deliver the selected recommended gift to the user of the second terminal.

Description

[0001] DESCRIPTION [0002] SERVICE MEASURE FOR RECOMMENDING GIFTS AND SERVER USINGN THE SAME [0003]

The present invention relates to an election recommendation service method and a recommendation server for performing the recommendation service.

As the application areas of social network services gradually become more granular and diversified, they are more advanced than the basic concept of supporting conversation services between friends, and recently, they have presented mobile gift certificates to friends, And the like.

On the other hand, in the conventional case, the tendency of a person to give a gift was often reflected. Accordingly, the present invention discloses a service capable of providing a personalized gift reflecting a personal taste, preference, etc. of a subject receiving a gift in a manner different from the conventional one, and a server capable of executing the service.

Japanese Patent Application Laid-Open No. 10-2002-0045433 (Recommendation providing method and system)

It is an object of the present invention to provide a gift recommendation service method for recommending a gift reflecting the interest of a neighbor and a gift recommendation server for executing the gift recommendation service method.

The present invention provides a gift recommendation service method comprising the steps of: requesting a recommendation server of a user of a second terminal, which is a terminal of a target person, to a gift recommendation server at a first terminal as a terminal of a gift provider; A second step of receiving a query and a query answer from the gift recommendation server to a keyword related to a recommendation gift to the second terminal; A third step of creating, by the gift recommendation server, a product group of a recommended gift corresponding to a query answer created at the second terminal; A fourth step of collecting, from the outside, a recommended gift corresponding to the product group in the gift recommendation server, and then providing the list information including the collected recommended product information to the first terminal; A fifth step of selecting a payment recommendable gift among the list information and paying a fee at the first terminal; And a sixth step of selecting at least one company handling the recommended gift selected by the gift recommendation server and then requesting the selected user to the selected company to deliver or deliver the selected recommended gift to the user of the second terminal, Wherein the second step includes a step of querying the second terminal for the same keyword preference related to the recommendation gift for a predetermined period at the gift recommendation server plural times in order to consider the change in preference of the user of the second terminal ; Classifying an answer of a highly volatile query and a query of a less volatile query answer among a plurality of query answers made during a predetermined period; And extracting a query answer having a low variability among query answers based on the query preferences that have been similarly queried during the predetermined period of time, wherein, before the third step, And analyzing the common information of the followers. The third step is to generate a product group of recommended gifts based on the keywords registered on the SNS of users having similar age, gender, hobby, and interest, A gift group of a recommendation gift based on the text and images posted on the SNS exchanged between a plurality of terminals (an acquaintance terminal) or a keyword registered in the SNS of users having similar age, sex, Based on the common information of the followers, or creates a product group of recommendation futures based on the SNS information exchanged between a plurality of terminals (an acquaintance terminal) Generating a product group of recommendation futures on the basis of common information of the registered keywords and followers or receiving an answer from the second terminal in the inquiry information generation unit according to the Nth inquiry question, And generates a product group of the recommended gifts on the basis of the keywords described on the SNS exchanged between the plurality of terminals (the acquaintance terminals) and the query answers with low variability .

The present recommendation server that executes the gift recommendation service according to an embodiment of the present invention includes a gift recommendation query created based on the user information of the terminal in-terminal 2 of the recipient who receives the gift provided at the first terminal, A query information generation unit for generating a query; An SNS analyzer for analyzing common keywords and related keywords of text and images described on the SNS sent between the second terminal and a plurality of terminals or an unspecified number of terminals; A recommended gift product group generation unit for generating a product group of recommended gifts using at least one of a query answer provided by the second terminal and a common keyword, an associated keyword, and common information analyzed by the SNS analysis unit; And a merchandise information collecting unit that receives merchandise information that can be matched to the merchandise group generated by the recommended gift group creating unit, from the server of the external merchandize and generates listing information of the recommended merchandise, To the second terminal for a predetermined period in the gift recommendation server, a process of querying the same keyword preference related to the recommendation gift a plurality of times, And the SNS analyzing unit extracts a query answer having a low variability among the query answers according to the same keyword preferences that have been queried during the predetermined period, The common information of the followers followed by the second terminal is analyzed and extracted , The recommended gift group generating unit generates a product group of recommended gifts based on the keywords registered on the SNS of users having similar age, sex, hobby, and interest, Based on the text and image displayed on the received SNS, or a common product of the keywords and followers registered on the SNS of users having similar age, sex, hobby, and interest, etc., Or generates a product group of recommended gifts based on common information of keywords and followers registered on the SNS exchanged between a plurality of terminals (an acquaintance terminal), or generates a product group of recommendation gifts on the basis of the common information of the keywords and followers sent from a plurality of terminals After receiving from the terminal, recommendation based on the keyword registered on the SNS of the users associated with the query response with low variability Characterized in that for generating or creating a plurality of terminals keywords and volatility of the product groups like present on the basis of low quality described in response to the SNS and received between the (terminal connections), the water product groups.

The solution of the above-mentioned problems does not list all the features of the present invention. Various means for solving the problems of the present invention can be understood in detail with reference to specific embodiments of the following detailed description.

According to the present invention, by providing the gift recommendation query keyword and the gift recommendation service based on the SNS shared information, it is possible to recommend the gift in which the preference of the person to receive the gift is actively reflected.

1 is an exemplary diagram illustrating a network state between a server, a first terminal, and a second terminal that executes the gift recommendation service of the present invention.
FIG. 2 is a block diagram showing a configuration of a recommendation recommendation server shown in FIG. 1. FIG.
3 is a flowchart illustrating a method of recommending a gift service according to an exemplary embodiment of the present invention.
4 is a flowchart showing another example of S730 of FIG.
5 is a flowchart showing still another example of S730 of FIG.
6 is a flowchart showing another example of S730 of FIG.
7 shows an example of a query word.
8 is an example of classifying the query answer of the second terminal into a predetermined type.
9 is a diagram illustrating an exemplary computing environment in which one or more embodiments disclosed herein may be implemented.

Various embodiments and / or aspects are now described with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. However, it will also be appreciated by those of ordinary skill in the art that such aspect (s) may be practiced without these specific details. The following description and the annexed drawings set forth in detail certain illustrative aspects of one or more aspects. It is to be understood, however, that such aspects are illustrative and that some of the various ways of practicing various aspects of the principles of various aspects may be utilized, and that the description set forth is intended to include all such aspects and their equivalents.

In addition, various aspects and features will be presented by a system that may include multiple devices, components and / or modules, and so forth. It should be understood that the various systems may include additional devices, components and / or modules, etc., and / or may not include all of the devices, components, modules, etc. discussed in connection with the drawings Must be understood and understood.

As used herein, the terms "an embodiment," "an embodiment," " an embodiment, "" an embodiment ", etc. are intended to indicate that any aspect or design described is better or worse than other aspects or designs. . As used herein, the terms 'component,' 'module,' 'system,' 'interface,' and the like generally refer to a computer-related entity and include, for example, hardware, It can mean software.

In addition, the term "or" is intended to mean " exclusive or " That is, it is intended to mean one of the natural inclusive substitutions "X uses A or B ", unless otherwise specified or unclear in context. That is, X uses A; X uses B; Or when X uses both A and B, "X uses A or B" can be applied to either of these cases. It should also be understood that the term "and / or" as used herein refers to and includes all possible combinations of one or more of the listed related items.

It is also to be understood that the term " comprises "and / or" comprising " means that the feature and / or component is present, but does not exclude the presence or addition of one or more other features, components and / It should be understood that it does not. Also, unless the context clearly dictates otherwise or to the contrary, the singular forms in this specification and claims should generally be construed to mean "one or more. &Quot; In addition, the terms "client "," user ", and "user ", as used herein, are often used interchangeably. In addition, the terms "component " and" element ", as used herein, are also often used interchangeably.

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

FIG. 1 is an exemplary view showing a network state between a server, a first terminal, and a second terminal executing a gift recommendation service of the present invention, FIG. 2 is a block diagram showing a configuration of a recommendation server shown in FIG. 1, 3 is a flowchart illustrating a method of recommending a service according to an exemplary embodiment of the present invention, FIG. 4 is a flowchart illustrating another example of S730 of FIG. 3, and FIG. 5 is a flowchart illustrating another example of S730 of FIG. FIG. 6 is a flow chart showing another example of S730 of FIG. 3, FIG. 7 is an example of a query word, and FIG. 8 is an example of classifying a query answer of a second terminal into a predetermined form to be.

Referring to FIG. 1, a method of presenting a recommendation service (S700) according to an exemplary embodiment of the present invention includes a first terminal (a terminal of a gift provider) 200, a second terminal (a terminal of a person to receive a gift 300 ) And the recommendation server 400 and the server 500 of the futures company.

The first terminal 200 and the second terminal 300 are terminals on which a gift recommendation platform provided by the gift recommendation service server 400 is executed and a service provided by the gift recommendation server 400 through the gift recommendation platform Information can be provided.

The first terminal 200 and the second terminal 300 are devices for executing a gift recommendation form and may be a laptop computer, a smart phone, a tablet, a wearable computer computer, etc.), which can be connected to a web / mobile site or to install and execute a service-dedicated application.

At this time, each terminal can perform the operation of the entire service such as service screen configuration, data input, data transmission / reception, and data storage under the control of a web / mobile site or a dedicated application

The gift recommendation platform may include an application, a program, a web page, and the like installed or operated on the user terminal through the network. Here, the web browser is a program that enables a WWW (World Wide Web) service to be used and is a program for receiving and displaying hypertext described in HTML (hyper text mark-up language). For example, Netscape ), Explorer (Explorer), chrome (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 an application market, a virtual marketplace where mobile content can be bought and sold freely.

Referring to FIG. 3, a recommendation service method (S700) according to an exemplary embodiment of the present invention includes requesting a recommendation server of a user of the second terminal 300 from the first terminal 200 to a recommendation server , The gift recommendation server 400 inquires of the second terminal 300 about the information related to the keyword and the preference related to the recommended gift (S720).

In step S720, the query information generating unit 420 of the present recommendation server 400 may query the same information for a predetermined period of time to consider a change in the preference of the user of the second terminal 300 according to the period, Based on the information that is queried, you can categorize high-volatility query answers and low-volatility query answers.

Here, the query preference information may be information including age, gender, hobby, color, current interest, and image information of a preferred gift (refer to FIG. 7).

In step S720, the query information generator 420 provides the same query message to the second terminal 300 for a predetermined period of time. The second terminal 300 transmits a response to the query for a preset period of time (S721) and sorting the high-volatility query answers and the low-volatility query answers among the query answers (S722).

Here, the answer to the query with low variability is used to generate a recommended gift group in the recommended gift group generation unit 430, which will be described later.

Thereafter, the gift recommendation server 400 generates a product group of a recommended gift corresponding to the query answer created at the second terminal 300 (S730).

The step S730 is a step of collecting a product group of the recommended gift based on the keywords registered on the SNS of users having similar age, sex, hobby, and interest in the recommended gift product group generating unit 430 of the present recommendation server 400 .

Alternatively, in step S730, the recommended gift product group generation unit 430 of the recommendation recommendation server 400 generates texts and images (hereinafter referred to as " text ") displayed on the SNS sent between the second terminal 300 and a plurality of terminals And collecting the product group of the recommended gift based on the recommendation.

4, in step S730, a product group of a recommendation gift is created based on common information of keywords and followers registered on the SNS of users having similar age, sex, hobby, and interest, etc., It is possible to create a product group of a recommended gift based on common information of keywords and followers registered on the SNS exchanged between terminals (an acquaintance terminal) (S731).

5, the recommendation gift product group generation unit 430 receives an answer from the second terminal in the inquiry information generation unit according to the N-th inquiry question, and then, based on the variance of the query answer, Information, for example, a product group of recommendation futures based on the keywords registered on the SNS of the users associated with the query response with low variability, or a keyword and low-variability query described on the SNS exchanged between a plurality of terminals (an acquaintance terminal) Based on the answer, the product group of the recommended gift can be created (S732).

6, the recommendation gift product group generation unit 430 receives an answer from the second terminal in the inquiry information generation unit according to the N-th inquiry question, and then, based on the variance of the query answer, Generates a product group of recommendation futures based on keywords registered on the SNS of users associated with common information of followers followed by the second terminal for a predetermined period of time, (S733) the product group of the recommended gift based on the keywords described on the SNS exchanged between the user and the sender (the acquaintance terminal), the query answer with low variability, and the common information of the followers.

Thereafter, when the first terminal 200 provides the list information including the product group of the recommended gifts collected in the gift recommendation server 400 (S740), the first terminal 200 transmits the recommended gift that can be paid out of the list information (S750), and selects at least one company that handles the recommended gift selected in the gift recommendation server 400, and then transmits the selected recommended gift to the user of the second terminal 300 to be delivered or delivered (S760) to the selected company.

2, the present recommendation server 400 includes a customer management unit 410, a query information generation unit 420, a recommended gift group generation unit 430, a product information collection unit 440 A settlement processing unit 450, a platform providing unit 460, an SNS analyzing unit 470, and a database 480.

The customer management unit 410 manages the personal information of customers using the gift recommendation service and the acquaintance information (for example, SNS account information) that the customer desires to present.

In addition, the customer management unit 410 manages registration, change, deletion, etc. of a telephone number, an address, and a membership number, and when a customer earns points for using the gift recommendation service and earns points, Management. Here, the points are paid differently according to the usage details of the gift recommendation service, and points can be used at the time of payment of the service use fee, or various benefits can be provided using the points.

Next, the inquiry information generating unit 420 functions to generate a futures recommendation inquiry statement based on the user information of the second terminal 300 provided in the first terminal 200. [

The query may be XML data comprising keywords related to age, gender, hobbies, colors, current interests, recent gifts, recent purchases, recent gifts given to acquaintances, and the like.

The query information generating unit 420 may provide the same query message to the second terminal a plurality of times during a predetermined period of time. In the query that is answered by the second terminal for a predetermined period of time, Classify the answers. Here, the answer to the query with low variability is used to generate a recommended gift group in the recommended gift group generation unit 430, which will be described later.

The SNS analyzing unit 470 analyzes a common keyword and an associated keyword of a text or an image interposed between the second terminal 300 and a plurality of terminals (an acquaintance terminal) or an unspecified number of terminals.

In addition, the SNS analyzer 470 may extract common information of followers followed by the second terminal for a predetermined period of time.

The recommended gift group generation unit 430 generates a product group of recommended gifts using at least one of the query answer provided by the second terminal and the common keyword, related keyword, and common information analyzed by the SNS analysis unit.

More specifically, for example, referring to FIG. 3, the recommended gift product group generating unit 430 generates a product group of a recommended gift based on a keyword registered on the SNS of users having similar age, sex, Or a product group of a recommended gift based on the text and image posted on the SNS exchanged between a plurality of terminals (an acquaintance terminal).

4, the recommended gift product group generation unit 430 generates a recommended gift product group based on common information of keywords and followers registered on the SNS of users having similar age, sex, The product group of the recommended gift can be created based on the common information of the keywords and followers registered on the SNS exchanged between the plurality of terminals (the acquaintance terminals).

5, the recommendation gift product group generation unit 430 receives an answer from the second terminal in the inquiry information generation unit according to the N-th inquiry question, and then, based on the variance of the query answer, Information, for example, a product group of recommendation futures based on the keywords registered on the SNS of the users associated with the query response with low variability, or a keyword and low-variability query described on the SNS exchanged between a plurality of terminals (an acquaintance terminal) Based on the answer, you can create a product group of recommended gifts.

6, the recommendation gift product group generation unit 430 receives an answer from the second terminal in the inquiry information generation unit according to the N-th inquiry question, and then, based on the variance of the query answer, Generates a product group of recommendation futures based on keywords registered on the SNS of users associated with common information of followers followed by the second terminal for a predetermined period of time, A product group of a recommendation gift can be generated based on the keyword described on the SNS exchanged between the user and the user (friend terminal), the query answer having low variability, and the common information of the followers.

The product information collection unit 440 receives the product information that can be matched to the product group generated by the recommended product product group generation unit 430 from the server of the vendor handling the product, and generates the list information of the recommended product.

For reference, the product information collecting unit 440 can update the product information handled by the selected company (for example, a shopping mall) every predetermined period. In addition, the updated product information may be provided to the recommended gift product group generating unit 430.

Next, the payment processing unit 450 can perform a series of processes of processing payment information, settlement cancellation information, commodity purchase agency information and the like using the recommended gift service. In addition, the payment processing unit 450 may generate and manage sales information by receiving the payment information that the customer paid through the payment interface.

In addition, the settlement processing unit 450 can pay the point of service utilization to the first terminal, and can reflect the point change details managed by the customer management unit 410 at the time of settlement.

Next, the platform providing unit 460 functions to provide a gift recommendation service platform.

The gift recommendation service platform may include an interface for requesting a query, a query statement, and an interface for selecting and displaying a recommended gift product group. In addition, it may include a payment interface required for using a gift recommendation service and recommending a product.

In addition, the gift recommendation service platform may further include an interface for managing recommended gift reservations, anniversaries, and the like.

Next, the database 480 stores and manages the information generated in each unit and the set information.

The database 480 may be a relational database management system (RDBMS) such as Oracle, MYSQL, MSSQL, Informix, Sybase, DB2, (OODBMS) such as O2 and O2, and an XML Native Database such as Excelon, Tamino, Sekaiju, etc., can be implemented for the purpose of the present invention. Fields or elements so that the < / RTI > Each field or element may be formed of a field or element of an upper concept or sub-concept.

Therefore, by using the gift recommendation service method according to an embodiment of the present invention and the gift recommendation service server that executes the gift recommendation service method, it is possible to provide a gift recommendation service based on SNS Big Data, , The purpose of the gift, etc., can be used to refer to what kind of gift is given to the other person, and the person who can receive the gift has the advantage of being able to recommend the gift that is strongly reflected in the preference of the person.

FIG. 9 is a diagram illustrating an exemplary computing environment in which one or more embodiments disclosed herein may be implemented, and is illustrative of a system 1000 including a computing device 1100 configured to implement one or more of the embodiments described above. / RTI > For example, the computing device 1100 may be a personal computer, a server computer, a handheld or laptop device, a mobile device (mobile phone, PDA, media player, etc.), a multiprocessor system, a consumer electronics device, A distributed computing environment including any of the above-described systems or devices, and the like.

The computing device 1100 may include at least one processing unit 1110 and memory 1120. [ The processing unit 1110 may include, for example, a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, an application specific integrated circuit (ASIC), a field programmable gate array And may have a plurality of cores.

The memory 1120 can be a volatile memory (e.g., RAM, etc.), a non-volatile memory (e.g., ROM, flash memory, etc.) or a combination thereof. In addition, the computing device 1100 may include additional storage 1130. Storage 1130 includes, but is not limited to, magnetic storage, optical storage, and the like. The storage 1130 may store computer readable instructions for implementing one or more embodiments as disclosed herein, and other computer readable instructions for implementing an operating system, application programs, and the like. The computer readable instructions stored in storage 1130 may be loaded into memory 1120 for execution by processing unit 1110. In addition, computing device 1100 may include input device (s) 1140 and output device (s) 1150.

Here, input device (s) 1140 may include, for example, a keyboard, a mouse, a pen, a voice input device, a touch input device, an infrared camera, a video input device, or any other input device. Also, output device (s) 1150 can include, for example, one or more displays, speakers, printers, or any other output device. In addition, computing device 1100 may use an input device or output device included in another computing device as input device (s) 1140 or output device (s) 1150. [ The computing device 1100 may also include communication connection (s) 1160 that allow the computing device 1100 to communicate with other devices (e.g., computing device 1300).

(S) 1160 may include a modem, a network interface card (NIC), an integrated network interface, a radio frequency transmitter / receiver, an infrared port, a USB connection or other Interface. Also, the communication connection (s) 1160 may include a wired connection or a wireless connection. Each component of the computing device 1100 described above may be connected by various interconnects (e.g., peripheral component interconnect (PCI), USB, firmware (IEEE 1394), optical bus architecture, etc.) And may be interconnected by the network 1200. As used herein, the terms "component," "system," and the like generally refer to a computer-related entity, which is hardware, a combination of hardware and software, software, or software in execution.

For example, an element may be, but is not limited to being, a processor, an object, an executable, an executable thread, a program and / or a computer running on a processor. For example, both the application running on the controller and the controller may be components. One or more components may reside within a process and / or thread of execution, and the components may be localized on one computer and distributed among two or more computers.

The present invention is not limited to the above-described embodiments and the accompanying drawings. It will be apparent to those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

200:
300: Gift recommendation server
400:
410: Customer Management Department
420: Query information generating unit
430: recommended gift group generating section
440: Product information collecting section
450: Payment processor
460: Platform provided
470: SNS analysis section
480: Database

Claims (1)

A first step of requesting a recommendation server of a user of a second terminal, which is a terminal of a person to receive a gift, from a first terminal, which is a terminal of a gift provider, to a gift recommendation server;
A second step of receiving a query and a query answer from the gift recommendation server to a keyword related to a recommendation gift to the second terminal;
A third step of creating, by the gift recommendation server, a product group of a recommended gift corresponding to a query answer created at the second terminal;
A fourth step of collecting, from the outside, a recommended gift corresponding to the product group in the gift recommendation server, and then providing the list information including the collected recommended product information to the first terminal;
A fifth step of selecting a payment recommendable gift among the list information and paying a fee at the first terminal; And
And a sixth step of selecting at least one or more companies handling the recommended gift selected by the gift recommendation server and then requesting the selected user to the selected company to deliver or deliver the selected recommended gift to the user of the second terminal,
The second step
Providing a plurality of times for querying the same keyword preference associated with a recommendation gift to the second terminal for a predetermined period in the gift recommendation server to consider a change in user's preference of the second terminal;
Classifying an answer of a highly volatile query and a query of a less volatile query answer among a plurality of query answers made during a predetermined period; And
And extracting a query answer having a low variability among the query answers according to the keyword preferences that have been similarly queried during the predetermined period,
Further comprising the step of analyzing common information of followings followed by said second terminal for a predetermined period of time before said third step,
In the third step,
A gift group of a recommendation gift based on a keyword registered on the SNS of users having similar age, sex, hobbies and interest, or a text displayed on the SNS exchanged between the second terminal and a plurality of terminals (an acquaintance terminal) And creates a product group of recommended gifts based on the images or generates a product group of recommended gifts based on common information of keywords and followers registered on the SNS of users having similar age, sex, hobby, and interest, (An acquaintance terminal), or generates a product group of a recommendation gift based on common information of keywords and followers registered on the SNS, or receives an answer from the second terminal in the inquiry information generation unit according to the Nth inquiry, Create a product group of recommended gifts based on the keywords registered on the SNS of the users related to the query answer with low variability It has a plurality of terminals (terminal connections) present for generating a keyword and the volatility of the product groups like present on the basis of low quality described in response to receiving the SNS sent between the service recommendation method.

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