KR101835736B1 - Talent trading system and method - Google Patents

Abstract

A talent trading system and method are disclosed that can provide a sense of trust to members who wish to purchase talent at the time of talent trading.
In order to maintain the trust between the talent seller and the member who intends to purchase the talent, the present invention calculates the seller rating by considering the evaluation of the talent seller's profile, the seller's activity history and the talents of the third party, It is possible to promote motivation and to recommend the talent for talent purchase according to the autonomous decision of the member.

Description

{TALENT TRADING SYSTEM AND METHOD}

TECHNICAL FIELD The present invention relates to a system and method for trading personal talents through media such as the Internet. The present invention provides technical support for solving problems that may occur in talent trading due to physical aging and social alienation, Comply with the requirements of the market, comply with the requirements of the specialist consultant, and if necessary, calculate the seller rating using at least one of the evaluation of the talented purchaser, the activity of the seller, and the profile of the talented seller, The present invention relates to a talent trading system and method capable of relieving uncertainty caused by open market talent sellers, enabling a talented purchasing member to have a sense of trust, and presenting quantitative criteria for determining talent purchasing, thereby enabling a reasonable talent purchase .

Talent trading means buying or selling an individual's type or intangible talent through an online open market. The seller of such a talent transaction can utilize his / her advantage and specialty to obtain the profit according to the result, and the buyer of the talent transaction can purchase the talent service at a reasonable price, and the feedback of the talent of the seller can be made quickly As a result, a variety of talent trading systems or methods are being developed rapidly.

However, currently developed online talent market is approved by the manager, and the approved talent is traded, but the scope of the examination is limited to talent contents. The scope of this inspection is a piecemeal judgment of the talents which are manifested by the collective reflection of the seller's accumulated career, the level of learning and the talent, and thus can not be regarded as a satisfactory talent check.

In this connection, Korean Patent Publication No. 10-2008-0106379 (published on December 05, 2008) discloses an electronic commerce system and method for intermediating talents and managers in connection with the talent trading system.

However, the e-commerce system and method that brokers the above-mentioned talents and managers can manage the price and purchase price according to the contract contents of the talent and the manager, There is a problem that it can not give.

In addition to evaluating talent, members can not confirm the evaluation of the seller and the evaluation of the talent of the third party, so it only distrusts the member who wants to purchase talent.

In addition to these problems, there is an urgent need for a support system capable of autonomous decision-making on open-market talent trading, considering the increasing trend of the elderly population and the introduction of aged society into middle aged people familiar with information devices.

Korean Patent Laid-Open Publication No. 10-2008-0106379 (published on December 5, 2008)

Accordingly, in order to solve such a problem, the first object of the present invention is to provide a method and apparatus for registering talents by registering a talent, The seller's rating is calculated in consideration of at least one of the reliability of the seller, the evaluation of the talents of the third party and the activity of the seller, and the seller's rating is used to make the member feel trust in the talent transaction And to provide a talent trading system that enables autonomous decision-making in case of talent trading through talent recommendation.

The second object of the present invention is to provide a method and system for registering talents of talented sellers in addition to a request to comply with inspection guidelines according to categories, The seller rating is calculated in consideration of at least one of the reliability of the seller, the evaluation of the talents of the third party, and the activity details of the seller, and the seller rating is used to allow the member to feel trust in the talent transaction, And to provide a talent trading method that enables autonomous decision-making in talent trading through talent recommendation.

According to another aspect of the present invention, there is provided a merchandising system including a communication unit for receiving a seller profile and a talent registration request from a seller terminal, a talent acceptance unit for accepting a talent content included in the talent registration request received by the communication unit, A profile reliability evaluation unit for evaluating the reliability of the seller using the seller profile received from the communication terminal from the seller terminal, a reliability evaluation unit for evaluating the reliability of the seller evaluated by the profile reliability evaluation unit, And a control section for controlling the communication section to transmit the talent content stored by the storage section or the seller rating calculated by the seller rating calculating section to the member terminal do.

Wherein the talent trading system includes a talent reliability evaluation unit that evaluates reliability of talent contents using the talent content evaluation received from the member terminal from the member terminal, wherein the seller rating calculation unit calculates the talent reliability based on the talent reliability evaluated by the talent reliability evaluation unit The seller's rating can be calculated using the reliability of the seller.

Wherein the talent transaction system includes a seller activity reliability evaluation unit that evaluates reliability of the seller's activity using at least one of the member terminal, the seller terminal, and the manager terminal using the seller activity details received by the communication unit, The calculating unit may calculate the seller rating using the reliability of the seller's activity evaluated by the seller activity reliability evaluating unit.

The storage unit may include a member information DB that stores member information including at least one of a member ID, a name, and a telephone number.

The storage unit may include a seller information DB storing at least one of the seller profile, the reliability of the seller evaluated by the profile reliability evaluator, and the seller rating calculated by the seller rating calculator.

The storage unit may include a talent information DB that stores the talent contents checked by the talent validation unit. The talent information DB may store the talent content determined by the acceptance of the talent acceptance unit and the talent content determined to be rejected.

According to another aspect of the present invention, there is provided a method for managing a talent, comprising the steps of: receiving a seller profile and a talent registration request from a vendor terminal; checking a talent content included in a talent registration request received by the communication unit; Storing the talent content or the seller profile inspected by the talent validation unit; evaluating the reliability of the seller using the seller profile received by the communication unit from the seller terminal; A step of calculating a seller rating using the reliability of the seller evaluated by the evaluator, and a step of controlling the control unit to transmit the talent content stored by the storage unit or the seller rating calculated by the seller rating calculator to the member terminal , It provides a trading method.

The talent transaction method may further include the steps of: evaluating the reliability of the talent contents using the talent content evaluation received from the member terminal by the talent reliability evaluation unit; and evaluating the reliability of the talent contents based on the talent reliability evaluated by the talent reliability evaluation unit And calculating the seller rating using the reliability.

Wherein the talent transaction method includes the steps of: evaluating reliability of the seller's activity using at least one of the member terminal, the seller terminal, and the manager terminal using the seller activity details received by the communication unit; The seller activity reliability evaluation unit may calculate the seller rating using the reliability of the seller's activity evaluated by the seller activity reliability evaluation unit.

According to the talent trading system and method of the present invention described above, when a talent transaction is performed in an open market through a medium such as the Internet, a seller can give a trust to a member who tries to purchase talent, Buying, talent trading can be activated.

In addition, the scope of the examination of talents is extended to the profiles of related career, education and qualifications, etc., which have a great influence on talent formation along with talent contents, so that objectivity can be added to the seller reliability evaluation.

In addition, the level of the seller's talent can be improved by calculating the seller's rating in consideration of the activity of the seller, and the profit of the seller can be improved through activation of the talent transaction.

Further, according to the talent trading system and method according to the present invention, it is possible to provide the recommendation talent related to the registered talent requested by the member, and to enable the middle-aged and elderly people, It is effective.

1 is a diagram showing a schematic configuration of a talent trading system, which is an embodiment of the present invention.
FIG. 2 is a table showing that the talent trading system, which is an embodiment of the present invention, is considered in calculating the seller rating.
3 is a diagram showing a schematic configuration of a storage unit which is a constitution of an embodiment of the present invention.
FIG. 4 is a schematic flow diagram of a talent trading method according to an embodiment of the present invention.

The terms and words used in the present specification and claims are to be understood as meaning conventional or dictionary meanings

And the inventor should interpret the meaning and concept in accordance with the technical idea of the present invention based on the principle that the inventor can appropriately define the concept of the term in order to explain the invention of the user in the best way .

Throughout the specification, when an element is referred to as " comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise. In addition, the term " "... "," ... Unit, "" module, "" device, "and the like refer to a unit that processes at least one function or operation, which may be implemented as a combination of hardware and / or software.

The method of transmitting and receiving data or signals throughout the specification does not depend on wired / wireless communication, and wireless communication can use various wireless communication methods such as Wi-Fi, Bluetooth, and NFC.

Hereinafter, the present invention will be described with reference to the drawings.

FIG. 1 is a diagram showing a schematic configuration of a talent trading system according to an embodiment of the present invention, and FIG. 2 is a table showing that a talent trading system, which is an embodiment of the present invention, is considered in calculating seller ratings.

1 and 2, the talent transaction apparatus 100 includes a communication unit 110, a talent validation unit 120, a storage unit 130, a profile reliability evaluation unit 140, a talent reliability evaluation unit 150, A seller activity reliability evaluation unit 160, a seller rating calculation unit 170, a control unit 180, and a recommended talent determination unit 190.

The communication unit 110 receives a seller profile and a talent registration request from the seller terminal 20. [

Here, the seller profile may include at least one of the seller's education level, career experience, retention certification, award, education availability, Social Network Services (SNS) account, and talent content.

Further, the communication unit 110 can receive the registered talent inquiry request from the member terminal 10.

The communication unit 110 can transmit the registered talent inquiry result to the member terminal 10.

The talent acceptance unit 120 checks the talent contents included in the talent registration request received by the communication unit 110. [

More specifically, the talent content verification of the talent acceptance unit 120 can be performed by the communication unit 110 receiving the determination of the talent content from the expert or the manager terminal 30.

The storage unit 130 stores the talent content or the seller profile inspected by the talent validation unit 120.

The profile reliability evaluation unit 140 evaluates the reliability of the seller using the seller profile received by the communication unit 110 from the seller terminal 20.

As shown in FIG. 2, the profile reliability refers to a seller's reliability evaluation. Therefore, the seller's trustworthiness evaluation can be evaluated as a 50-point scale considering at least one of the seller's career, career, qualification, award, education availability, SNS (Social Network Services) account disclosure, SNS evaluation, .

In addition, the reliability of the seller evaluated by the profile reliability evaluation unit 140 means the reliability of each seller's talent, and when one member registers a plurality of talents, the profile reliability of each talent may be different.

More specifically, the profile reliability can be evaluated using the following equation (1).

And among the evaluation criteria, credits, awards and educational achievement scores can be evaluated through relative evaluation.

More specifically, the evaluation of the score of the relative evaluation means the evaluation of the score using the metric score by the distribution chart.

Here, weighing scales for each distribution are calculated as a percentage of the credits, awards, and educational credits included in the merchant profile, compared to the score for any one of the qualifications, awards, And the like.

More specifically, the weighing score for each distribution was 1 point for less than 10%, 2 points for less than 10% and less than 30%, 3 points for less than 30% and less than 70%, more than 70% 4 points, 90% or more and 100% or less can be evaluated as 5 points.

Referring to FIG. 2 and Equation (1), the score according to the evaluation standard is 5 points for the academic ability, and the weight for the evaluation standard is 1 point for the academic ability. Further, according to the above equation (1), the profile reliability can be evaluated as 50 points.

The talent reliability evaluation unit 150 can evaluate the reliability of the talent contents using the talent content evaluation received from the member terminal 10 by the communication unit 110. [

As shown in FIG. 2, talent reliability refers to reliability evaluation of talent contents. Therefore, the reliability evaluation of the talent contents can be evaluated as 50 points considering at least one of the member's talent satisfaction, talent trading volume, talent scrap count, talent recommendation, product review number and talent request number.

More specifically, talent reliability can be evaluated using the following equation (2).

And all evaluation criteria of talent reliability can be evaluated by relative evaluation.

More specifically, the evaluation of the score of the relative evaluation means the evaluation of the score using the metric score by the distribution chart.

As described above, the weighing score for each distribution can be evaluated in consideration of the percentage of the evaluation reference score of the talent reliability for the talent requested by the seller to be compared with the evaluation reference score of the talent reliability requested for the other seller. These scores should be compared against each other.

More specifically, the weighing score for each distribution was 1 point for less than 10%, 2 points for less than 10% and less than 30%, 3 points for less than 30% and less than 70%, more than 70% 4 points, 90% or more and 100% or less can be evaluated as 5 points.

Referring to FIG. 2 and Equation (2), the score for each evaluation criterion is 5 for the talent satisfaction, and the weight for each evaluation criterion is 2 for the talent satisfaction. Further, according to Equation (2) above, the talent reliability can be estimated to be 60 points.

The seller activity reliability evaluation unit 160 can evaluate the reliability of the seller's activities by using the seller activity details received from the communication unit 110 from the member terminal 10 or the administrator terminal 30. [

As shown in FIG. 2, seller activity reliability refers to the reliability evaluation of the seller's activities. Therefore, the reliability evaluation of the seller's activity is based on the kind of satisfaction that the member terminal 10 can transmit to the communication unit 110, the reaction rate that the seller terminal 20 can transmit to the communication unit 110, The number of proposals that the seller terminal 20 can transmit to the communication unit 110, the number of reports that the member terminal 10 can transmit to the communication unit 110, It is possible to evaluate the score to be a score of 30 out of at least one of the number of warnings that the administrator terminal 30 can transmit to the communication unit 110.

More specifically, the seller activity reliability can be evaluated using the following equation (3).

And the evaluation criteria excluding the communication of the seller activity reliability can evaluate the score through the relative evaluation.

More specifically, it means evaluating the score by using a metric score according to the score evaluation distribution map of the relative evaluation.

As described above, the weighing score for each distribution can be evaluated by taking into account the percentage of the seller's activity reliability, excluding the seller's communication, to the seller's activity reliability except the seller's communication. These scores should be compared against each other.

More specifically, the weighing score for each distribution was 1 point for less than 10%, 2 points for less than 10% and less than 30%, 3 points for less than 30% and less than 70%, more than 70% 4 points, 90% or more and 100% or less can be evaluated as 5 points.

Referring to FIG. 2 and Equation (3), the scores of the evaluation criteria are 5 points in the case of the kindness satisfaction, and the weights of the evaluation criteria are 2.5 points in the case of the kindness satisfaction. Also, according to Equation (2) above, the seller activity reliability can be evaluated as 30 points. This is because the number of reports and warnings is -5.

The seller rating calculation unit 170 can calculate the seller rating using the reliability of the seller evaluated by the profile reliability evaluation unit 140. [

The seller rating calculating unit 170 can calculate the seller rating using the reliability of the talent content evaluated by the talent reliability evaluating unit 150. [

The seller rating calculation unit 170 may calculate the seller rating using the reliability of the seller's activity evaluated by the seller activity reliability evaluation unit 160. [

The seller rating calculation of the seller rating calculation unit 170 will be described with reference to FIG. 2 and Equation (4).

In Equation (4), N means the number of talents uploaded by the seller.

For example, if seller has two talents, seller rating for talent 1, talent reliability for talent 1, seller activity reliability for talent 1, profile reliability for talent 2, talent 2 And reliability of seller activity on talent 2 should be evaluated.

The control unit 180 controls the communication unit 110 to transmit the talent content stored in the storage unit 130 or the seller rating calculated by the seller rating calculation unit 170 to the member terminal 10.

The recommendation talent determining unit 190 can determine the recommendation talent related to the registration ability requested by the member terminal 10 using the registered talent inquiry request received from the member terminal 10 by the communication unit 110. [

More specifically, the recommendation talent determining unit 190 may determine recommendation talents related to the registered talent requested by the member terminal 10, using collaborative filtering and content-based filtering. have.

Here, the collaborative filtering may be user based collaborative filtering or item based collaborative filtering.

Collaborative filtering is a technique that identifies members with similar patterns of preference and interest based on the preferences and expressions of interest of the members' talents. It records the use of talents (scrap, purchase, evaluation) Modeling a similarity relationship between members and talents in the form of a graph, matrix or tensor, and filtering the ability to predict the similarity between talents that a member has not yet purchased using a learned model.

More specifically, the similarity relationship between the member and the talent is determined such that, when the registered talent requested by the member terminal 10 is scrapped, the recommended talent determining unit 190 assigns a related weight to the registered talent scrapped by the member terminal 10 Thus, the degree of similarity between members and talents can be increased.

In addition, when the membership talent requested by the member terminal 10 is purchased, the recommendation talent determination unit 190 assigns a correlation weight to the registered talent purchased by the member terminal 10, thereby increasing the degree of similarity between the member and talent .

Collaborative filtering can be divided into user based collaborative filtering to determine similar members, and item based collaborative filtering to determine similar talents.

This collaborative filtering can utilize the existing collaborative filtering algorithm, and the collaborative filtering differs from the content based filtering algorithm in that the meta information of the members and talents is not used directly.

In addition, content-based filtering calculates the similarity between a member and a talent by directly using meta information (membership preference, talent content, etc.) of members and talents, and recommends talent to a member based on the calculated similarity Technique. Such content-based filtering can utilize existing content-based filtering algorithms.

More specifically, the meta information of members and talents can be based on the talent category, the talent selling area of the talented seller, the purchasing grade of the member who wants to purchase the talent, and the like.

Then, the talent transaction device 100 can sort the recommendation talent based on the purchase grade of the member and transmit it to the member terminal 10.

More specifically, the recommendation talent determining unit 190 can sort the recommendation talents based on the purchase grade of the member, and the communication unit 110 can transmit the aligned recommendation talent to the member terminal 10. [

The recommendation talent determining unit 190 may use the existing user based collaborative filtering or the existing item based collaborative filtering by combining the collaborative filtering and the content based filtering to determine the recommendation talent Thus, it is possible to quickly determine the recommended talent rather than to judge the recommended talent.

In addition, since the recommendation talent determining unit 190 uses content-based filtering, it is possible to prevent an error that the same talent is continuously judged as a recommendation talent.

The communication unit 110 transmits the recommended talent determined by the recommended talent determining unit 190 to the member terminal 10 in the case where the recommended talent determining unit 190 determines the recommended talent related to the registered talent requested by the member terminal 10, As shown in FIG.

According to one embodiment of the present invention, a recommendation talent related to a registered talent requested by a member can be provided. In an embodiment of the present invention, a middle-aged person having difficulty in acquiring information as compared with a younger person can acquire information So that it is possible to overcome the difficulty of.

3 is a diagram showing a schematic configuration of a storage unit which is a constitution of an embodiment of the present invention.

3, the storage unit 130 may include a member information DB 131, a talent information DB 132, a seller information DB 133, and a recommendation talent DB 134.

The member information DB 131 may store member information including at least one of a member ID, a name, and a telephone number.

The seller information DB 132 may store at least one of the seller profile, the reliability of the seller evaluated by the profile reliability evaluation unit 140, and the seller rating calculated by the seller rating calculation unit 170. [

The talent information DB 133 can store the talent contents inspected by the talent acceptance unit 120. [

In addition, the talent information DB 133 can store the talent content determined by the talent validation unit 120 and the talent content determined to be rejected.

The recommendation talent DB 134 can store the recommendation talents related to the registration ability requested by the member terminal 10 determined by the recommendation talent determination unit 190. [

FIG. 4 is a schematic flow diagram of a talent trading method according to an embodiment of the present invention.

4, the communication unit 110 receives a seller profile and a talent registration request from the seller terminal 20 (S430)

The talent acceptance unit 120 checks the talent content included in the talent registration request received by the communication unit 110 (S431)

The storage unit 130 stores the talent content or the seller profile that the talent acceptance unit verifies (S432)

The profile reliability evaluation unit 140 evaluates the reliability of the seller using the seller profile received from the seller terminal 20 by the communication unit 110. [

More specifically, the reliability evaluation of the seller can be performed by the above-described equation (1).

In addition, the talent reliability evaluation unit 150 can evaluate the reliability of the talent contents using the talent content evaluation received from the member terminal 10 by the communication unit 110. [

More specifically, the reliability evaluation on the talent contents can be made by the above-mentioned equation (2).

The seller activity reliability evaluation unit 160 determines the reliability of the seller's activity by using the seller activity details received from the communication unit 110 from at least one of the member terminal 10, the seller terminal 20, and the administrator terminal 30 Can be evaluated.

More specifically, the reliability evaluation of the activity of the seller can be performed according to Equation (3).

The seller rating calculation unit 170 calculates the seller rating using the reliability of the seller evaluated by the profile reliability evaluation unit 140 (S433)

In addition, the seller rating calculation unit 170 can calculate the seller's rating using the reliability of the talent content evaluated by the talent reliability evaluation unit 150. [

The seller rating calculating unit 170 may calculate the seller's rating using the reliability of the seller's activity evaluated by the seller activity reliability evaluating unit 160. [

The seller's rating can be calculated by Equation (4).

The control unit 180 controls the communication unit 110 to transmit the talent content stored in the storage unit 130 or the seller rating calculated by the seller rating calculation unit 170 to the member terminal 10.

As described above, the configuration and operation of the talent transaction system and method according to the embodiment of the present invention can be performed. While the present invention has been described with respect to the specific embodiments, various modifications may be made without departing from the scope of the present invention. .

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, and that various modifications and changes may be made by those skilled in the art.

10: member terminal 20: seller terminal
30: Manager terminal 100: Talent trading device
110: communication unit 120: talent acceptance unit
130: storage unit 131: member information DB
132: seller information DB 133: talent information DB
134: recommended talent DB 140: profile reliability evaluation section
150: talent reliability evaluation unit 160: seller activity reliability evaluation unit
170: seller rating calculation unit 180:
190: Recommended talent judge

Claims (9)

A communication unit for receiving a seller profile and a talent registration request from a seller terminal;
A talent acceptance unit for accepting talent contents included in the talent registration request received by the communication unit;
A storage unit for storing the talent contents inspected by the talent validation unit or the seller profile;
A profile reliability evaluating unit for evaluating the reliability of the seller using the seller profile received by the communication unit from the seller terminal;
A seller rating calculation unit for calculating a seller rating using the reliability of the seller evaluated by the profile reliability evaluation unit;
A controller for controlling the communication unit to transmit the talent content stored by the storage unit or the seller rating calculated by the seller rating calculating unit to the member terminal;
A talent reliability evaluation unit for evaluating reliability of the talent contents using the talent content evaluation received from the communication unit from the member terminal;
A seller activity reliability evaluating unit that evaluates reliability of the seller's activity using at least one of the member terminal, the seller terminal, and the administrator terminal using the seller activity details received by the communication unit;
A recommendation talent determining unit for determining the recommended talent related to the registered talent requested by the member terminal using the registered talent inquiry request received from the member terminal by the communication unit;
, ≪ / RTI &
The profile reliability evaluation unit
Performing reliability evaluation of the seller in consideration of at least one of the seller's education, career, qualification, award, education availability, SNS (Social Network Services) account disclosure, SNS evaluation and talent contents, And evaluating the score using the relative evaluation using the metric score according to the degree of distribution, and calculating the profile reliability using the following equation (1)
[Equation 1]

The talent reliability evaluation unit
The reliability evaluation of the talent contents is evaluated by the relative evaluation using the metrics according to the distribution, taking into consideration at least one of the member's talent satisfaction, talent trading volume, talent scrap frequency, talent recommendation number, product evaluation number, Using Equation (2), the talent reliability is calculated,
&Quot; (2) "

The seller activity reliability evaluation unit
A kind of satisfaction that the member terminal can transmit to the communication unit, a reaction rate that the seller terminal can transmit to the communication unit, a communication that the seller terminal can transmit to the communication unit, A seller activity reliability evaluation is performed in consideration of at least one of the number of proposals that can be made, the number of reports that the member terminal can transmit to the communication unit, and the number of warnings that the administrator terminal can transmit to the communication unit, The scores are evaluated through relative evaluation using the meticulous scores according to the degree of distribution, and the seller activity reliability is calculated using the following equation (3) ,
&Quot; (3) "

The seller rating calculator
Performing the seller rating calculation using the profile reliability, the talent reliability, and the seller activity reliability using the following equation (4)
&Quot; (4) "

In Equation (4), N denotes the number of talents uploaded by the seller,
The recommendation talent determination unit
Collaborative filtering using the similarity relation between the member and the talent and the similarity between the member and the talent based on the reference talent related to the registered talent requested by the member terminal and recommending the talent to the member based on the calculated similarity Judging by using content-based filtering, sorting recommendation talents based on the purchase grade of members,
The communication unit
And transmits the recommendation talent sorted by the recommendation talent determination section to the member terminal.
delete delete The method according to claim 1,
The storage unit
A member information DB for storing member information including at least one of a member ID, a name, and a telephone number;
A talent trading system.
The method according to claim 1,
The storage unit
A seller information DB storing at least one of the seller profile, the reliability of the seller evaluated by the profile reliability evaluator, and the seller rating calculated by the seller rating calculator;
A talent trading system.
The method according to claim 1,
The storage unit
A talent information DB for storing talent contents checked by the talent validation section;
, ≪ / RTI &
The talent information DB
Wherein the talent acceptance unit distinguishes between the talent content determined by registration and the talent content determined to be rejected by the verification of the talent validation unit.
Receiving a seller profile and a talent registration request from a seller terminal;
Checking the talent contents included in the talent registration request received by the communication unit;
Storing the talent content or the seller profile that the storage section has validated by the talent validation section;
Evaluating the reliability of the seller using the seller profile received by the communication unit from the seller terminal;
Evaluating the reliability of the talent contents using the talent content evaluation received from the talent reliability evaluation unit member terminal by the communication unit;
The seller activity reliability evaluation unit evaluating the reliability of the seller's activities using at least one of the member terminal, the seller terminal, and the manager terminal using the seller activity details received by the communication unit;
The seller rating calculating unit calculating the seller rating using the reliability of the seller evaluated by the profile reliability evaluating unit;
The control section controlling the communication section to transmit the talent content stored by the storage section or the seller rating calculated by the seller rating calculating section to the member terminal;
, ≪ / RTI &
Wherein the step of evaluating the reliability of the seller using the seller profile received by the communication unit from the seller terminal
Wherein the profile reliability evaluating unit evaluates the reliability of the seller in consideration of at least one of the academic ability, career experience, certification, award history, education availability, SNS (Social Network Services) account disclosure, SNS evaluation, Evaluating the score using the relative evaluation using the rating, the award history, and the educational score using the metric score according to the degree of distribution, and calculating the profile reliability using Equation (1);
[Equation 1]

/ RTI >
Wherein the step of evaluating the reliability of the talent content using the talent content evaluation received by the communication unit from the talent reliability evaluation unit member terminal
The talent reliability evaluating unit evaluates the score through the relative evaluation using the metric score according to the distribution degree in consideration of at least one of the member's talent satisfaction, talent transaction amount, talent scrap number, talent recommendation number, product evaluation number, 2 to calculate talent reliability;
&Quot; (2) "

/ RTI >
The step of the seller activity reliability evaluation unit evaluating the reliability of the seller's activities using the seller activity details received by the communication unit from at least one of the member terminal, the seller terminal, and the administrator terminal
A kind of satisfaction that the member terminal can transmit to the communication unit, a reaction rate that the seller terminal can transmit to the communication unit, a communication that the seller terminal can transmit to the communication unit, A seller activity reliability evaluation is performed in consideration of at least one of the number of proposals that can be made, the number of reports that the member terminal can transmit to the communication unit, and the number of warnings that the administrator terminal can transmit to the communication unit, The rating of the seller activity is calculated using the following equation (3), and the score is evaluated through the relative evaluation using the meticulous score according to the degree of distribution, except for the kindness satisfaction, the reaction rate, the number of proposed sacrifices, step;
&Quot; (3) "

/ RTI >
Wherein the step of the seller rating calculating unit calculating the seller rating using the reliability of the seller evaluated by the profile reliability evaluating unit
Performing the seller rating calculation using the profile reliability, the talent reliability, and the seller activity reliability, using the following equation (4);
&Quot; (4) "

In Equation (4), N denotes the number of talents uploaded by the seller,
Wherein the control section controls the communication section to transmit the talent content stored by the storage section or the seller rating calculated by the seller rating calculating section to the member terminal
The recommendation talent determining unit calculates collaborative filtering using the similarity relation between the member and the talent and the similarity between the member and the talent based on the recommendation talent related to the registration talent requested by the member terminal, Using content-based filtering to recommend talent;
Sorting the recommendation talent based on the purchase grade of the member by the recommended talent determining unit;
Transmitting, by the communication unit, the recommended talent sorted by the recommendation talent determining unit to the member terminal;
≪ / RTI > delete delete

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