KR102092906B1 - Manager Matching Method Using Marriage Information Matching Online Service Platform - Google Patents

Abstract

The present invention relates to a manager matching method using a marriage information matching online service platform. More specifically, the marriage information matching online service platform enables a customer to select a desired condition by providing, for free, information by region, size, and amount so that a user can compare services at a glance through collaboration with a plurality of marriage information companies and wedding companies, and shares membership pools of the plurality of marriage information companies and wedding companies so that matching by a manager can be achieved. The marriage information matching online service platform comprises: a marriage information matching online service platform server (100); a database (200) storing pieces of marriage information company member information and matching information; a processor (300) processing and calculating the member information and matching information stored in the database; a manager management unit (400) managing and matching the member information and matching information processed through the processor; and a big data analysis unit (500). The big data analysis unit (500) includes: a detailed item analysis unit (510) analyzing detailed items set by a user; an opinion analysis unit (520) analyzing opinions input by the user; an ideal appearance analysis unit (530) analyzing a picture set by the user as an ideal type; and a recommendation matching unit (540) generating a recommendation list according to priority based on the data analyzed by the detailed item analysis unit (510), the opinion analysis unit (520), and the ideal appearance analysis unit (530).

Description

Manager Matching Method Using Marriage Information Matching Online Service Platform

The present invention relates to a manager matching method using a marriage information matching online service platform, and more specifically, information by region, size, and amount so that a user can compare services at a glance through cooperation with multiple marriage information companies and wedding companies. It relates to a marriage information platform online service matching system characterized in that the customer can select the desired conditions by providing free of charge, and sharing the membership pool of multiple marriage information companies and wedding companies so that matching by the manager is made.

In Korea, many marriage information companies have been created nationwide due to the decrease in fertility rate due to the decrease in the marriage rate, but consumers' service dissatisfaction has surged due to the lack of marketing capabilities and regional limitations due to poor quality. In addition, due to the inequality of the contract conditions of major marriage information companies, it caused the growth of the marriage brokerage market.

In order to solve the problems of the marriage brokerage market, Patent No. 10-1575988 is disclosed as a conventional technique for increasing the success rate.

The prior art relates to an Internet marriage matchmaking system and a control method thereof, the Internet marriage matchmaking system comprising: The member terminal 10 used by the registered member and the matchmaking server 20 that provides a marriage matchmaking service to members connected through the network, and the matchmaking expert's marriage matchmaking of the connecting member by accessing the matchmaking server 20 through the network Matchmaker information unit 11 that is mounted on the matchmaker expert terminal 30 and the member terminal 10 to be able to manage the progress of the uploaded to the matchmaker server 20, and the matchmaker input to the member terminal 10 It consists of a matchmaker registration window (12) for authenticating them, a member access window (40) loaded on a member terminal (10), and a matchmaking management window (50) loaded on a matchmaking expert terminal (30), and the matchmaking server (20) ) Is the access server unit 21 that controls the access of members, the information upload verification server unit 22 that manages the information upload of the members, and verifies the identity of the matchmakers among the uploaded broker information, and the member information provided by the member Member search server to search The department (23), the member information providing server unit (24) that manages the provision of information about the searched member, the cost settlement server unit (25), the member terminal (10), and other matchmaker terminal It consists of a program management server unit (26) for managing the access program provided to (30) and a data unit (27) for storing member information and data uploaded by the member, and the member terminal (10) is loaded with member access In the window 40, the matchmaker registration button 41 and the member terminal 10 are matched with the matchmaker to allow the matchmaking registration window 12 to be executed so that the store can be stored in the matchmaker information section 11 of the member terminal 10. The matchmaker upload button (42), which enables uploading and execution of the approved matchmaker information to the matchmaking server (20), the expert matchmaking request button (43) and members that enable a member to apply for a matchmaking expert For individual matchmaking request, It consists of a search target search button (44) to search, and the matchmaker registration window (12) enters the information of the matchmaker who wants to upload to the matchmaker server (20) in the member member terminal (10). When the input target matcher who received the text is sent and the text is sent, the matcher is configured to approve the registration of the matchmaker, and when the click on the matchmaker registration button 41 is executed, the name of the matchmaker and the resident who wants to register An authentication button is provided to enter a number, phone number, body type, and text approval for registration presence to registered brokers, and the data unit 27 uploads member data and information to which registered members are stored. One matchmaker data (27a), verified matchmaker data (27b) in which the matchmaker data (27a), which has been verified by a member among the matchmakers uploaded, is stored, and member matchmaking is provided. It is characterized by consisting of information data (27c) and payment information data (27d) that stores the member's payment information.

In addition, as a prior art for a matching system between members for the arrangement of the meeting, Patent No. 10-0892927 is disclosed.

The prior art relates to a system and a method for a one-to-one batch matching between members that collectively perform a one-to-one matching for meetings between members by connecting to a client and a network and using a database, (a) the identity of a member from the client Receiving information and storing it in a database; (b) receiving a list of counterpart members to be recommended to each target member from the client and storing in a database as a target member's recommendation list; (c) For each of the target members, one opponent member is selected from the target member's recommendation list according to a relative selection priority rule, and a matching pair of the target member and the selected opponent member is one-to-one matching pool ( matching pool); (d) extracting the matching pairs having the highest priority among a plurality of matching pairs belonging to the one-to-one matching pool in sequence, but extracting the members included in the matching pairs without duplication by applying a matching rule of priority for selecting matching pairs. It includes.

However, the prior art as described above lacks a system capable of matching an optimal spouse to a consumer based on a collaborative platform of a number of marriage information companies, so there is a limitation inevitably to stay at a low level of marital brokerage rate and customer satisfaction. have.

Registered Patent No. 10-1575988 Registered Patent No. 10-0892927

Accordingly, the present invention was created to solve the above problems, and focuses on a manager matching method using a marriage information matching online service platform that can match an optimal spouse to a consumer based on a collaboration platform of multiple marriage information companies. Is leaving.

In addition, through cooperation with marriage information companies and wedding companies, customers can select the conditions they want by providing free information by region, size, and amount so that users can compare services at a glance, and many marriage information companies and wedding companies The emphasis is on the marriage information matching online service platform that allows matching by the manager by sharing the membership pool of.

The present invention for achieving the above technical problem, in the matching method by the manager management of the marriage information matching online service platform, the membership pool sharing step (a) of sharing the membership pool by partnering with a number of marriage information companies ; A matching partner search step (b) in which the manager A searches for a matching partner of the member based on the member pool shared in the member pool sharing step (a); A first basic information viewing step (c) in which the manager A browses basic information on the members of the manager B in the matching relative search step (b); Based on the basic information retrieved in the first basic information viewing step (c), (a) the first detailed information viewing step (d) in which the manager A can view detailed information about members who may be matched with the member; Through the first detailed information viewing step (d), the manager A determines the matching possibility, and (a) the first basic information transmission step (e) of transmitting basic information of members having matching possibility to the member; Through the basic information transmission step (e) (a) the first matching doctor receiving step (f) that the A manager receives the member's matching intention; A matching request step (g) in which the manager A requests matching to the manager B when the matching doctor received in the first matching doctor receiving step (f) is 'YES'; A matching request receiving step (h) in which the manager B receives the matching request of the manager A according to the matching request step (g); (A) the second basic information viewing step (i) in which the B manager browses the basic information of the member included in the matching request receiving step (h); Based on the second basic information viewing process (g), the manager B determines the matching possibility (a) the second detailed information viewing step (j) of viewing the detailed information of the member; After the second detailed information viewing step (j), (a) a second basic information transmission step (k) of transmitting basic information of the member to members having a possibility of matching with the member; A second matching doctor reception step (l) in which the B manager receives the matching intention of members with matching possibility corresponding to the object transmitted in the second basic information transmission step (k); Characterized in that it comprises a matching acceptance transmission step (m) for the B manager to transmit the matching acceptance to the manager A according to the result of the matching intention received in the second matching intention receiving step (l).

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And the matching relative search step (b), the detailed item analysis process (b10); Opinion analysis process (b20); Ideal appearance analysis process (b30); And a recommendation matching process (b40).

In addition, the detailed item analysis process (b10) includes a condition input sequence (b11) for inputting detailed item conditions for a spouse desired by a member; A weight setting procedure (b12) for setting weights on conditions input in the condition input order; Characterized in that it consists of an ideal type extraction sequence (b13) for extracting matching counterpart members for each condition item based on member information stored in the database according to the weight set in the weight setting sequence.

In addition, the opinion analysis process (b20) includes: a storage management procedure (b21) for collecting member information and matching information stored in the marriage information platform database; An ideal type analysis procedure (b22) for determining a polarity value of an ideal type by extracting features based on the member information and matching information collected in the storage management order (b21); It is characterized in that it consists of a preference analysis sequence (b23) that generates a recommendation matching list by analyzing preferences with weight elements based on the polarity values extracted from the ideal analysis sequence.

In addition, the ideal appearance analysis process (b30), a photo input sequence for uploading the ideal type photo (b31); A photo recognition sequence (b32) for recognizing and analyzing the ideal type photo uploaded in the photo input sequence (b31); It is characterized in that it consists of a similarity judgment sequence (b33) for determining similarity by comparing and analyzing pictures of member detailed information stored in the database based on the pictures recognized in the picture recognition order (b32).

According to the present invention having the above configuration, through cooperation with wedding information companies and wedding companies, users can select the conditions desired by providing free information by region, size, and amount so that users can compare services at a glance. By providing, it provides an effect of enhanced convenience.

In addition, managers who manage members through the big data recommendation matching technique secure the recommendation list optimized for the customer's propensity information, thereby increasing the marriage success rate and significantly improving customer satisfaction.

In addition, by setting weights on the user's detailed items or ideal opinion, the manager can conveniently make a matching request by generating a recommendation matching list through big data analysis, and improve the marriage success rate and customer satisfaction through accurate ideal analysis. to provide.

1 is a schematic diagram of a marriage information matching online service platform system according to the present invention.
2 is an exemplary embodiment of an application of the marriage information matching online service platform according to the present invention.
3 is a schematic configuration diagram of a marriage information matching online service platform according to the present invention.
4 to 5B is an exemplary view of the marriage information matching online service platform according to the present invention.
6 is a flow chart showing a matching method by manager management of the marriage information matching online service platform according to the present invention.
7A to 21B are exemplary views of a marriage information matching online service platform according to the present invention.

Hereinafter, with reference to the accompanying drawings, specific details for the practice of the present invention will be described in more detail.

The present invention relates to an online service system for a marriage information platform, and more specifically, by providing information by region, size, and price for free so that a user can compare services at a glance through cooperation with marriage information companies and wedding companies. In order to allow the customer to select the desired conditions, and to share the membership pools of multiple marriage information companies and wedding companies so that matching by the manager is achieved, as shown in FIG. 1, the marriage information matching online service platform (P), consumer It consists of (member) and supplier (marriage information company).

The marriage information matching online service platform (P) is an online service platform configured to share a member pool by partnering with a marriage information company so that the consumer member can match the member pool of the supplier marriage information companies. It can appear as shown in 2.

Referring to FIG. 3, the marriage information matching online service platform P includes a server 100, a processor 300, a database 200, a manager management unit 400, and a big data analysis unit 500.

The server 100 refers to a computer system server including a general type of client, and provides various contents of the marriage information matching online service platform (P).

Database 200 is a memory device that stores all the data used in the marriage information matching online service platform (P), all types implemented online such as basic input / output system, operating system, various applications, user interface functions, processor functions, etc. Data can be stored.

The database 200 accumulates and stores member information and matching information based on the membership pool of all marriage information companies affiliated with the marriage information matching online service platform (P) to construct big data, and the big data analysis unit to be described later. (500) provides a data source to be analyzed using a recommended matching technique.

The processor 300 includes a general type central processing unit (CPU), and is a device that performs all calculation processing operations performed by the big data analysis unit 500, which will be described later, executes computer code and generates and uses data. Perform all actions

The manager management unit 400 requests a match from the manager of the member managed by the manager through the member information and matching information of the member pool accumulated in the database 200, and requests marriage to the other manager who can match. It means a content service provider that manages members so that the sacrament can be achieved.

4A, the manager management unit 400 is composed of a member management unit 410, a matching management unit 420, a review management unit 430, and an advertisement management unit 440.

The member management unit 410 is a menu that conveniently controls membership registration, modification, deletion, and the like on the page so that the manager of the marriage information company can manage members.

Referring to FIG. 4B, the member management unit 410 provides a page that can be managed by a manager of a marriage information company that has entered the marriage information matching online service platform (P), thereby simplifying member registration, member information modification, and deletion. Can be done.

In addition, since each member's membership registration fee varies by class, it can be provided so that the registration information file of the company can be uploaded when the marriage information company enters the marriage information matching online service platform (P). city)

In other words, the marriage information matching online service platform (P) sets the standard of the lowest registration fee that can be entered, checks the registration file of the company uploaded by the marriage information company, and enters the store if it exceeds the minimum registration fee set above. It can be implemented to. (Not shown)

In addition, if the marriage information company pays the entrance fee at the first marriage to the marriage information matching online service platform (P), n matching members are provided for each marriage information company account for free, and if it exceeds n times, an additional amount is generated from registration of matching members. Can be set (not shown)

Matching management unit 420, as shown in Figure 5a, is provided so that the manager of the marriage information company can perform all matters related to matching, such as matching requests, matching acceptance, matching management on the page so as to match members. .

Referring to FIG. 5B, the matching management unit 420 is provided to view detailed information through the membership status and the matching status managed by the manager, and the recommended matching list calculated by the big data analysis unit 500 to be described later. It can be provided to be generated and displayed on the real-time screen.

Hereinafter, the manager matching method G using the marriage information matching online service platform in the matching management unit 420 will be described.

Referring to FIG. 6, the manager matching method (G) using the marriage information matching online service platform includes: a member pool sharing step (a) of sharing a membership pool by partnering with multiple marriage information companies; A matching partner search step (b) in which the manager A searches for a matching partner of the member based on the member pool shared in the member pool sharing step (a); A first basic information viewing step (c) in which the manager A browses basic information on the members of the manager B in the matching relative search step (b); Based on the basic information retrieved in the first basic information viewing step (c), (a) the first detailed information viewing step (d) in which the manager A can view detailed information about members who may be matched with the member; Through the first detailed information viewing step (d), the manager A determines the matching possibility, and (a) the first basic information transmission step (e) of transmitting basic information of members having matching possibility to the member; Through the basic information transmission step (e) (a) the first matching doctor receiving step (f) that the A manager receives the member's matching intention; A matching request step (g) in which the manager A requests matching to the manager B when the matching doctor received in the first matching doctor receiving step (f) is 'YES'; A matching request receiving step (h) in which the manager B receives the matching request of the manager A according to the matching request step (g); (A) the second basic information viewing step (i) in which the B manager browses the basic information of the member included in the matching request receiving step (h); Based on the second basic information viewing process (g), the manager B determines the matching possibility (a) the second detailed information viewing step (j) of viewing the detailed information of the member; After the second detailed information viewing step (j), (a) a second basic information transmission step (k) of transmitting basic information of the member to members having a possibility of matching with the member; A second matching doctor reception step (l) in which the B manager receives the matching intention of members with matching possibility corresponding to the object transmitted in the second basic information transmission step (k); It is composed of a matching acceptance transmission step (m) in which the B manager transmits the matching acceptance to the A manager according to the matching intention result received in the second matching intention reception step (l).

Referring to FIG. 7A, the basic information (B) of the first basic information viewing step (c) and the second basic information viewing step (i) includes information including only basic information in items such as member name, age, occupation, and address. Means, and the detailed information (S) of the first detailed information reading step (d) and the second detailed information reading step (j) is information indicating detailed information in detail such as a member name, age, occupation, and address. Means

The detailed information (S) is not disclosed to the member, and only the basic information (B) is disclosed and the manager in charge must be requested to view the detailed information (S).

Referring to FIGS. 7B and 7C, the basic information (B) and detailed information (S) are provided to be input upon membership registration, and will be used to generate a recommended matching list in the big data analysis unit 500 to be described later. You can.

The manager matching method (G) using the marriage information matching online service platform provides a unique code when registering as a member in the marriage information matching online service platform (P), and uses the received unique code to obtain a marriage information matching online service platform ( It is provided so that it can link with the marriage information company that entered P). (S10)

Referring to FIG. 8, the manager shown in FIG. 6 when both the member (a) and the other member of the specific marriage information company who entered the marriage information matching online service platform (P) are linked to each marriage information company Matching is performed through the management matching method (G). (S20)

If, (a) the member is linked to the marriage information company, but the other member is not linked to the marriage information company, the other member's marriage information company manager judges (a) the member's profile and accepts or rejects it. It can be done (S30).

Also, in the case where both the member (a) and the other member are not linked to the marriage information company, the service can be directly started in consideration of the customer's information and the ideal type acquired by the main matching service user (manager) of the company. )

Through the manager matching method (G) using the marriage information matching online service platform as described above, the members can be matched by including the intention of the member rather than the marriage matchmaking method by the manager's one-sided matching partner selection. It can provide an effect that can improve consumer satisfaction and actual marriage rate.

Meanwhile, the process of generating a recommendation matching list by using the recommendation matching technique based on big data analysis in the matching relative search step (b) will be described in detail later.

The manager matching method using the marriage information matching online service platform is exposed to the higher list according to the registration fee and paid product rating of the member registered in the marriage information company entering the marriage information matching online service platform (P). It can be provided to increase the exposure range and the number of exposures.

That is, referring to FIG. 9, exposure to the top list in the order of secret, premium, standard, and free members is provided according to the registration fee of the member and the level of the paid product, so that the exposure range and the number of exposure are increased. Make it possible.

In addition, according to the advertising fee paid by the marriage information service provider who entered the marriage information matching online service platform (P), it is possible to provide a member of a company that has paid a lot of advertising costs to the top list to increase the exposure range and the number of exposures. As described above, detailed description thereof will be omitted.

On the other hand, the payment of the list-up according to the grade may be made through a web (PC) or mobile application.

Referring to FIG. 10, the review management unit 430 is provided so that a member who has been matched through the marriage information matching online service platform P can process a review, edit, delete, etc. based on the registered content. .

The advertisement management unit 440 is provided to process advertisement-related functions such as advertisement management, advertisement registration, and advertisement content provision so as to provide advertisements to users using the marriage information matching online service platform P.

Referring to FIG. 3, the big data analysis unit 500 extracts data based on member information and matching information, which is the big data for a member pool of a number of marriage information companies accumulated and stored in the database 200, and is most suitable for members. A system provided to generate a spouse candidate recommendation matching list R, and includes a detailed item analysis unit 510, an opinion analysis unit 520, an ideal appearance analysis unit 530, and a recommendation matching unit 540. .

In other words, by providing a customized priority spouse candidate recommendation matching list (R) to a specific member, matching management work is conveniently performed through the spouse candidate recommendation matching list (R) without needing to manually search spouse candidates for marriage information company managers. It provides an effect that can be performed.

The detailed item analysis unit 510 includes a condition input unit 511, a weight setting unit 512, and an ideal type extraction unit 513.

The condition input unit 511 provides details such as age, region, occupation, annual salary, height, body type, blood type, religion, smoking status, etc., included in the member's detailed information (S) to reflect the member's requirements when registering for membership. It is provided so that it can be set by input.

It will be apparent to a person skilled in the art that it is possible to modify or delete the detailed items entered by the condition input unit 511, so a detailed description thereof will be omitted.

The weight setting unit 512 may set the weight value for each detail item when registering as a member so that the weight value can be applied to the detailed items input from the condition input unit 511 or modify the weight value in the profile information modification menu after signing up for membership. So as to be equipped.

Referring to FIG. 11, the percentage value (%) may be set such that the weight value for each detail item is 100% by adding up, and for the sake of ease of calculation, if the sum value does not become 100%, it is stored and goes to the next page. Can be provided.

Referring to FIG. 12, the ideal type extracting unit 513 arranges priority items in the order of highest weight value based on the weight value set by the weight setting unit 512 and arranges them from the first rank to the n rank.

The member information having the same detailed item priority as the arranged detailed item priority (A) is collated in the member pool of the database 200 to extract the detailed item candidate group (C1).

 The detail group candidate group (C1) means a group of candidates having member information (I) having the same priority as the above-described detailed item priority (A), and if there is no same priority member information, update and generate the next-ranked member information do.

The detailed item candidate group C1 extracted from the ideal type extracting unit 513 is transmitted to the recommendation matching unit 540, which will be described later, to generate a first recommendation matching list that can be referred to by the marriage information company manager.

The recommendation matching unit 540 receives the detailed item priority (A) and the detailed item candidate group (C1) arranged from the ideal type extraction unit 513 to generate a first recommended matching list R1, and the matching management unit ( 420), so that the marriage information company manager can help to manage the members.

The first recommendation matching list compares and analyzes the ordered detail item priority (A) and the detail item candidate group (C1) extracted from the ideal type extracting unit 513, and then the detail item candidate group (C1) in the order in which the weight values for each detail item are similar. ).

Referring to FIG. 13, the recommendation matching unit 540 sets and weights detailed item weight values of the detailed item candidate group C1 which is a set of member information I having the same priority as the arranged detailed item priority (A). The weight values of one detail item priority (A) are compared and arranged in order of similarity of the ratio.

At this time, a medal counting method may be used as a method of determining similarity ranking.

That is, by extracting the member information (I) most similar to the weight ratio of the detailed item priority (A) arranged in the member information (I) as the first rank and arranging it up to the n rank, the first recommended matching list (R1) Can be created.

On the other hand, referring to FIG. 3, the opinion analysis unit 520 analyzes the opinion (O), which is an opinion on the specific ideal style of the member, as shown in FIG. 14 and analyzes the second recommendation matching list from the recommendation matching unit 540 It is responsible for the function of generating (R2), and is composed of a storage management unit 521, an ideal type analysis unit 522, and a preference analysis unit 523.

The storage management unit 521 is responsible for collecting and pre-processing the onion (O) data of members accumulated in the database 200 and transmitting it to the ideal type analysis unit 522 to be described later.

The storage management unit 521 may include a morpheme analyzer 521a and a data filter 521b to collect and pre-process opinion (O) data of members accumulated in the database 200.

The morpheme analyzer 521a refers to a data preprocessing device capable of natural language processing by separating into morphemes according to a Korean analysis process, grammatical function, and form / meaning that can be separated into a minimum unit to analyze a string form.

15, the morpheme analyzer 521a includes a text preprocessing step (M1); Morphological Analysis step (M2); And through the POS tagging step (M3), the morpheme of the opinion (O) is separated and analyzed.

The morpheme analyzer 521a may separate and analyze the sentences described in the opinion (O) by subdividing them into various tags such as symbols, nouns, verbs, adjectives, adjectives, adverbs, and adjectives.

The data filter 521b is a device capable of filtering words in a form that is not necessary for an ideal type analysis using certain rules after the morpheme analysis step M2 and the part-of-speech tagging step M3 in the morpheme analyzer 521a to be.

The certain rules may include various types of filtering rules such as foreign language removal, image removal, special character removal, and sentence code removal, and are not limited to the types listed.

Through the data filter 521b, it is possible to increase the accuracy by removing unnecessary contents to determine the opinion (O) and reduce the total data amount, thereby improving the efficiency of the analysis. (Increased data processing speed)

Referring to FIG. 16, the ideal type analysis unit 522 is an analysis device that processes morphological separation and pre-processed opinion (O) information from the storage management unit 521 to calculate a polarity value, and features extractor 522a and a connection swash plate It consists of a short-term 522b and a polarity value calculator 522c.

The feature extractor 522a classifies parts of speech such as verbs, adjectives, adverbs, and adjectives to extract features of the ideal type from the opinion (O) ideal type information tagged through the data filter 521b of the storage management unit 521 do.

It is determined whether there is an expression element for an ideal type in the classified parts of speech, and if there is no ideal expression element, it is excluded.

The connection adverb judger 522b determines whether a connection adverb exists based on the part of speech classified in the feature extractor 522a and determines whether there is an inversion in the context.

Referring to FIG. 17, the connection adjector judging unit 522b extracts the 'yes' corresponding to the meaning of 'but' which is the connection adverb from the opinion information of the opinion (O), and determines it as a connection adverb, and determines a polarity value calculator to be described later ( In 522c), the sentence 'after that' is determined as negative polarity.

The polarity value calculator 522c includes the connection adverb information extracted from the connection adjector judger 522b to calculate the polarity of the opinion type O information, and sets a weight value according to the calculated polarity to set the recommended matching unit ( 540).

Hereinafter, a description will be given of a method for the polarity value calculator 522c to set the weight value by calculating the polarity of the opinion (O) ideal type information.

Referring to FIG. 18, a method for the polarity calculator 522c to set the weight value by calculating the polarity of the pinion information of the opinion (O) is a process of presenting a criterion for determining the ideal type information (W1); A process of determining the presence or absence of an abnormal type element based on the above-mentioned determination criteria (W2); A step (W3) of extracting a keyword corresponding to the ideal element when the ideal element exists in the determination process W2 of the presence or absence of the ideal element; A process of considering the connection adverbs extracted from the connection adjunct determination unit 522b (W4); A process of assigning a polarity value according to the considered context of the adjunct (W5); And applying a weight to the polarity value calculated by the substitution (W6).

The process of presenting the criteria for judging the ideal type information (W1) is a process of classifying the strength of each word by classifying the positive and negative parts of speech, such as exclamation, adverb, salmon, verb, and salmon, to present the criteria for polarity judgment.

The abnormality element existence determination process W2 includes whether the abnormality element is included, including the strength of each word classified in the determination criteria presentation process W1, and if there is no abnormality element, it is excluded from analysis.

The keyword extraction process W3 is a process of extracting the keyword corresponding to the ideal element when the ideal element exists in the determination process W2 of the presence or absence of the ideal element, and the keyword stored in the database 200 in the feature extractor 522a Based on the word, it is determined and extracted if a matching keyword exists.

The connection adverb process W4 analyzes the context of the context through the connection adverbs extracted from the connection adverb judger 522b, and provides a basis for determining the ideal polarity by considering the front and back sentences based on keywords.

In the process of assigning the polarity value (W5), it is possible to determine the total polarity by assigning a polarity value according to the context of the connection adverb considered in the connection adverb process (W4).

The polarity value may be set as positive or negative as illustrated in (a) of FIG. 19 according to the ideal word, and the polarity value may be reversed according to the connected adverb extracted from the connected adjective judger 522b. You can.

Referring to (B) of FIG. 19, a polarity value may be assigned to a word corresponding to the abnormality information for each keyword extracted from the feature extractor 522a to dataize the abnormality characteristic information desired by the member.

As shown in (c) of FIG. 19 in consideration of the polarity value of the ideal type characteristic information extracted from the feature extractor 522a, the ideal type of pinion information is generated from the opinion (O) ideal type information.

The process of applying weight (W6) is performed by the preference analysis unit 523, and the preference analysis unit 523 analyzes the feature type extractor 522a by the feature extractor 522a on the ideal type opinion information generated in the polarity assignment process W5. Opinion priority (A2) of a specific member is generated by applying weights according to word strength of an adjective, an adverb, and the like.

The generated opinion (A2) is transmitted to the recommendation matching unit 540 to extract member information (I) similar to the opinion of priority (A2) to generate an opinion candidate group (C2), and the generated opinion opinion group The process of generating the second recommendation matching list R2 by arranging (C2) in the order of high similarity is as described above, so a detailed description thereof will be omitted.

On the other hand, referring to Figure 3, the ideal appearance analysis unit 530, the photo input unit 531, the photo recognition unit 532 and the similarity determination unit 533 ).

The photo input unit 531 provides a data space provided to allow a member to upload a desired photo as an ideal type.

The photo recognition unit 532 may borrow a face recognition technique using big data to recognize and analyze the ideal type photo uploaded to the photo input unit 531.

The photo recognizing unit 532 acquires the shape model of the ideal type photo uploaded to the photo input unit 531 and applies weights to the impression information through classification of impression information for each region, thereby similarity in the similarity determination unit 533 to be described later. Through matching, a member corresponding to a similar ideal appearance is calculated as the ideal appearance candidate group (C3).

The process of acquiring the shape model is performed through the position adjustment of the ideal type photo uploaded to the photo input unit 531, face contour adjustment, fine adjustment of the face area, and a 3D model construction procedure.

In the face contour adjustment and face area fine adjustment procedure, a 3D Affine Transform may be performed to match the feature points of the uploaded ideal type photo.

In the 3D model construction order, the features of each face are subdivided and the face is analyzed through a 3D modeling technique, and then transmitted to the similarity determination unit 533.

The similarity determination unit 533 analyzes the similarity by comparing with the photographic image of the member information accumulated in the database 200 based on the feature information for each face region segmented by the photo recognition unit 532.

The similarity determination unit 533 calculates the similarity by comparing and analyzing the photographic image of the member information accumulated in the database 200 through the principal component vector analysis based on the shape model acquired by the photo recognition unit 532.

Hereinafter, a method of calculating the similarity will be described.

Based on the shape model acquired by the photo recognizing unit 532, the feature components of the face shape information are extracted to calculate orthogonal characteristic components, thereby defining a location vector for each part.

Using the location vector defined above, the difference vector value of the face shape model of the photo uploaded by the member and the face shape model of the photo image of the member information accumulated in the database 200 is obtained and scored to calculate the overall similarity.

The weights are set in the scored similarity feature vectors to generate the ideal appearance priority (A3) of a specific member.

The generated ideal appearance priority (A3) is transmitted to the recommendation matching unit 540, and member information (I) similar to the ideal appearance priority (A3) is extracted to generate an ideal appearance candidate group (C3) and generated The process of generating the third recommendation matching list R3 by arranging the opinion group C3 in the order of high similarity is as described above, so a detailed description thereof will be omitted.

Based on the configuration as described above, the manager uses a plurality of marriage information company membership pools through the first recommendation matching list (R1), the second recommendation matching list (R2), and the third recommendation matching list (R3). By continuously updating the automatic recommendation matching list using data technology, managers can conveniently manage members and increase the probability of matching customized members suitable for customers, significantly increasing customer satisfaction and ultimately marriage success rate. It provides an effect that can be increased.

Hereinafter, preferred embodiments according to the marriage information matching online service platform (P) of the present invention will be described in detail.

Referring to FIG. 20A, when a specific member applies for counseling to a marriage information company that has entered the marriage information matching online service platform (P), the basic information of the specific member who applied for counseling is married information matching online service platform (P). It can be provided so that you can view the list of members who received the request from the manager page (web or application) and received a consultation request.

Referring to FIG. 20B, as described above, when a marriage information company entering the marriage information matching online service platform P accesses basic information through a member search and reads detailed information of a member having a high matching probability, On the manager page of the marriage information matching online service platform (P), it can be provided to check the list of members who have read the detailed information.

Referring to FIG. 21A, marriage information companies entering the marriage information matching online service platform P provide differentiated design decorating effects according to the amount paid to the marriage information matching online service platform P. It can be provided to secure competitiveness among others.

Referring to FIG. 21B, it is possible to provide a maximum profit generation effect to a marriage information company that has paid a lot of advertising costs through the main advertisement and sub advertisement sectors of the marriage information matching online service platform (P).

When a matching request is attracted to a member in the marriage information matching online service platform (P), it can be filtered by chronological order, conditional order, and rating so that the manager can see the matching request. (Not shown)

In addition, the marriage information matching online service platform (P) can provide a notification to the manager when there is no match at all (when members in good condition are missed). (Not shown)

In addition, the marriage information matching online service platform P may provide message content so that members can communicate with the manager. (Not shown)

In addition, in order to match realistically on the marriage information matching online service platform P, a priority list may be generated in order of distance close to each region to update the fourth recommended matching list R4 to the manager (not shown).

In addition, after sending a matching request from the marriage information matching online service platform (P), if there is no response from the other company, a notification service may be provided (not shown).

In addition, when the marriage information company manager registers a new member in the marriage information matching online service platform P, it is possible to provide a re-recommendation for members who do not match. (Not shown)

The present invention described above has been described with reference to one embodiment shown in the drawings, but this is only an example, and those skilled in the art can recognize that various modifications and other equivalent embodiments are possible therefrom. Able to know. Therefore, the true technical protection scope of the present invention should be interpreted by the appended claims, and all technical spirits within the equivalent range should be interpreted as being included in the scope of the present invention.

100: server 400: manager management department
200: database 500: big data analysis department
300: processor

Claims (10)

delete delete delete delete delete In the manager matching method (G) using the marriage information matching online service platform,
A member pool sharing step (a) of sharing a membership pool by partnering with a number of marriage information companies;
A matching partner search step (b) in which the manager A searches for a matching partner of the member based on the member pool shared in the member pool sharing step (a);
A first basic information viewing step (c) in which the manager A browses basic information about the members of the manager B in the matching relative search step (b);
Based on the basic information retrieved in the first basic information viewing step (c), (a) the first detailed information viewing step (d) in which the manager A can view detailed information about members who are matchable with the member;
Through the first detailed information viewing step (d), the manager A determines the matching possibility, and (a) the first basic information transmission step (e) of transmitting basic information of members having matching possibility to the member;
Through the basic information transmission step (e) (a) the first matching doctor receiving step (f) that the A manager receives the member's matching intention;
A matching request step (g) in which the manager A requests matching to the manager B when the matching doctor received in the first matching doctor receiving step (f) is 'YES';
A matching request receiving step (h) in which the manager B receives the matching request of the manager A according to the matching request step (g);
(A) the second basic information viewing step (i) in which the B manager browses the basic information of the member included in the matching request receiving step (h);
Based on the second basic information viewing process (g), the manager B determines the matching possibility (a) the second detailed information viewing step (j) of viewing the detailed information of the member;
After the second detailed information viewing step (j), (a) a second basic information transmission step (k) of transmitting basic information of the member to members having a possibility of matching with the member;
A second matching doctor reception step (l) in which the B manager receives the matching intention of members with matching possibility corresponding to the object transmitted in the second basic information transmission step (k);
And a matching acceptance transmission step (m) in which the manager B transmits the matching acceptance to the manager A according to the matching intention result received in the second matching intention reception step (l). Manager matching method using platform.
The method of claim 6,
The matching relative search step (b),
Detailed item analysis process (b10);
Opinion analysis process (b20);
Ideal appearance analysis process (b30); And
Manager matching method using a marriage information matching online service platform, characterized by consisting of a recommended matching process (b40).
The method of claim 7,
The detailed item analysis process (b10),
A condition input sequence (b11) for inputting detailed item conditions for the spouse desired by the member;
A weight setting procedure (b12) for setting weights on conditions input in the condition input order;
Manager matching using the marriage information matching online service platform, characterized in that it consists of an ideal type extraction sequence (b13) for extracting matching partner members for each condition item based on the member information stored in the database according to the weight set in the weight setting sequence. Way.
The method of claim 8,
The opinion analysis process (b20),
A storage management procedure for collecting member information and matching information stored in the marriage information platform database (b21);
An ideal type analysis procedure (b22) for determining a polarity value of an ideal type by extracting features based on the member information and matching information collected in the storage management order (b21);
Manager matching method using the marriage information matching online service platform, characterized in that it consists of a preference analysis sequence (b23) that analyzes preferences in which weight elements are calculated based on the polarity values extracted from the ideal analysis sequence and generates a recommendation matching list. .
The method of claim 9,
The ideal appearance analysis process (b30),
A photo input sequence (b31) for uploading the ideal type photo;
A photo recognition sequence (b32) for recognizing and analyzing the ideal type photo uploaded in the photo input sequence (b31);
A marriage information matching online service platform comprising a similarity determination order (b33) for determining similarity by comparing and analyzing photos of member detailed information stored in a database based on the photos recognized in the photo recognition order (b32). Manager matching method used.

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