KR20170040065A - System for coaching and correcting personalized online interview utilizing big data - Google Patents

System for coaching and correcting personalized online interview utilizing big data Download PDF

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KR20170040065A
KR20170040065A KR1020160004617A KR20160004617A KR20170040065A KR 20170040065 A KR20170040065 A KR 20170040065A KR 1020160004617 A KR1020160004617 A KR 1020160004617A KR 20160004617 A KR20160004617 A KR 20160004617A KR 20170040065 A KR20170040065 A KR 20170040065A
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interview
simulated
learner
terminal
moving picture
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최란
김정아
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김정아
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    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
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    • G09B5/00—Electrically-operated educational appliances
    • G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
    • G09B5/14—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations with provision for individual teacher-student communication

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Abstract

According to an embodiment of the present invention, there is provided a method of providing a personalized online interview coaching supplementary service using a big data in a service providing server, the method comprising the steps of: Transmitting simulated interview audio content corresponding to the selected category to the learner terminal; Receiving and storing a simulated interview moving picture photographed corresponding to the simulated interview voice content from the learner terminal; Receiving a simulated interview moving picture received from the learner terminal to a terminal of an interview coach previously selected by a learner, receiving and storing a simulated interview adder corresponding to the simulated interview moving picture from the interview coaching terminal; And transmitting the simulated interview addendum including the recommended learning content to the learner terminal.

Description

{SYSTEM FOR COACHING AND CORRECTING PERSONALIZED ONLINE INTERVIEW UTILIZING BIG DATA}

The present invention relates to a personalized online interview coaching annotation system using Big Data, and more particularly, to an online interview coaching annotation system in which a learner conducts an online simulated interview through an application installed in a terminal, The present invention relates to a personalized online interview coaching annotation system that utilizes big data to receive one-to-one annotations for a mock interview.

In recent years, interest in interviews and interview coaching services has increased so that interview types for employee recruitment are diversified by business type and competition for employment is intensified.

However, in the existing interview coaching service, there is a problem that coaching feedback is provided according to a general mock interview without classification of the industry, or a learner can not directly select an interview coach, and improvement is made according to the feedback provided after the mock interview There was a hassle for the learner to find the material to learn.

In addition, in order to use the mock interview service, the learner must go directly to the interview coach and perform the mock interview, which is inconvenient that the learner needs a considerable expense and time to prepare for the interview.

Accordingly, it is desirable to provide a method for enabling a learner to receive a one-to-one customized interview coaching service through an application by allowing a learner to select a business type and an interview coach to conveniently perform a simulated interview on- And a solution for solving the above problems is urgently needed.

SUMMARY OF THE INVENTION The present invention has been made in order to solve the problems of the prior art described above, and it is an object of the present invention to provide a method and apparatus for an online interview, And to provide a personalized online interview coaching annotation system using Big Data.

The objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood from the following description.

According to an aspect of the present invention, there is provided a method of providing a personalized online interview coaching supplementary service using a big data, the method comprising: Transmitting the simulated interview voice content corresponding to the selected category to the learner terminal if any one is selected by the learner; Receiving and storing a simulated interview moving picture photographed corresponding to the simulated interview voice content from the learner terminal; Receiving a simulated interview moving picture received from the learner terminal to a terminal of an interview coach previously selected by a learner, receiving and storing a simulated interview adder corresponding to the simulated interview moving picture from the interview coaching terminal; And transmitting the simulated interview addendum including the recommended learning content to the learner terminal.

The mock interviewer transmits the relative evaluation results of the mock interview evaluation items to the learner terminal by performing a big data analysis for each mock interview evaluation item based on the information received and stored from the one or more interview coach terminals .

The step of transmitting the simulated interview voice content may include providing the interview theoretical content before providing the category information to the learner terminal.

The simulated interview addendum may include analytical results of the evaluation items analyzed and converted into scores according to one or more mock interview evaluation items, and contents of the comprehensive opinions.

Meanwhile, according to another embodiment of the present invention, when one of the one or more category categories provided by the learner terminal is selected by the learner, the simulated interview voice content corresponding to the selected category is transmitted to the learner terminal part; A simulated interview moving picture receiving unit for receiving and storing a simulated interview moving picture photographed corresponding to the simulated interview voice content from the learner terminal; A simulated interview adder receiving unit for receiving and storing a simulated interview annex corresponding to the simulated interview video from an interview coach terminal after transmitting a simulated interview video received from the learner terminal to a terminal of an interview coach previously selected by a learner; And a simulated interview subscriber sending unit for sending the simulated interview add-on book including the recommended learning contents to the learner terminal.

The mock interviewer transporter may perform a big data analysis for each mock interview evaluation item on the basis of the adder book received and stored from one or more interview coach terminals and transmit the relative evaluation results for each mock interview evaluation item to the learner terminal have.

The simulated interview audio content transmitting unit may provide the interview theoretical content before providing the category information to the learner terminal.

The simulated interview addendum may include analytical results of the evaluation items analyzed and converted into scores according to one or more mock interview evaluation items, and contents of the comprehensive opinions.

According to another aspect of the present invention, there is provided a method for transmitting an interview image to a learner terminal, the method comprising: transmitting one or more category categories and mock interview voice contents to the learner terminal, receiving a mock interview video from the learner terminal, A service providing server for receiving the addendum from the interview coach terminal and transmitting the addend to the learner terminal; Receiving the one or more category information and the simulated interview voice content from the service providing server, capturing the simulated interview moving picture and transmitting the same to the service providing server, receiving a simmer book for the simulated interview moving picture from the service providing server A learner terminal; And an interview coach terminal for displaying the simulated interview moving picture when the simulated interview moving picture is received from the service providing server, and transmitting the descriptor to the service providing server.

According to an embodiment of the present invention, by providing an online simulated interview service through an application, a simulated interview can be performed in real time and feedback can be provided in a learner's position without restriction of place and time, So that it can provide convenience.

In addition, according to an embodiment of the present invention, a learner can be provided with a highly reliable evaluation result by providing the learner with a relative evaluation result of each evaluation item through analysis of big data based on the information of the learner and the addendum.

According to an embodiment of the present invention, since the learner is provided with the recommended learning contents corresponding to the items lacking in accordance with the analysis results of the evaluation items, the learner does not have to search the related learning materials individually for the improvement of the deficient portion. It is possible to shorten the time spent preparing for the interview.

It should be understood that the effects of the present invention are not limited to the above effects and include all effects that can be deduced from the detailed description of the present invention or the configuration of the invention described in the claims.

1 is a view schematically showing a configuration of a personalized online interview coaching adding system utilizing Big Data according to an embodiment of the present invention.
2 is a block diagram illustrating a configuration of a service providing server according to an embodiment of the present invention.
3 is a flowchart illustrating a personalized online interview coaching supplementary service process using Big Data according to an embodiment of the present invention.
4 is a diagram illustrating a screen displayed on a learner terminal when providing a personalized online interview coaching service according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating a screen displayed on a learner terminal when providing a personalized online interview coaching supplementary service using big data according to an exemplary embodiment of the present invention. Referring to FIG.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, the present invention will be described with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "indirectly connected" . Also, when an element is referred to as "comprising ", it means that it can include other elements, not excluding other elements unless specifically stated otherwise.

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

1 is a view schematically showing a configuration of a personalized online interview coaching adding system utilizing Big Data according to an embodiment of the present invention.

Referring to FIG. 1, a price comparison service providing system according to an embodiment of the present invention includes a learner terminal 100, a service providing server 200, and an interview coach terminal 300.

First, not only the learner terminal 100 and the service providing server 200 but also the service providing server 200 and the interview coach terminal 300 may be connected to each other through a communication network. Here, the communication network includes a communication And can be configured without discriminating the modes. A local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), and the like.

The learner terminal 100 and the interview coach terminal 300 may be any type of handheld device having a touch screen panel such as a mobile phone, a smart phone, a PDA (Personal Digital Assistant), a PMP (Portable Multimedia Player) Based wireless communication device, and may also include a device capable of installing and running an application, such as a desktop PC, a tablet PC, a laptop PC, and an IPTV including a set-top box.

The learner terminal 100 and the interview coach terminal 300 can install an application for providing an interview coaching adding service and store the application in a memory of each terminal. For example, the learner terminal 100 and the interview coach terminal 300 can access an app store server (not shown) in which various applications are uploaded, and then download and install the interview coaching add-on application. Here, the application of the interview coaching add-on can provide a variety of services related to the interview coaching add-on service, such as providing the theoretical content for the interview, providing the online simulated interview content, providing the supplementary book, providing the recommended learning content, and providing the relative evaluation result.

According to one embodiment of the present invention, the interview coaching-adding application includes an application for a learner terminal for receiving a service such as providing interview theoretical content and providing online simulated interview content for each business type, receiving a simulated interview video, And an application for an interview coach terminal for providing an interview coaching service for providing a service such as a transfer, etc. At this time, an application for a learner terminal can be installed in the learner terminal 100, and an application for an interview coach terminal And may be installed in the interview coach terminal 300.

According to another embodiment of the present invention, the interview coaching annotation application may be deployed as one application in which the application for the learner terminal and the application for the interview coach terminal are integrated. At this time, the integrated application is transmitted to the learner terminal 100 and the interview coach And may be installed in the terminal 300, respectively.

The learner terminal 100 can provide the interview theoretical content according to the learner's choice and display the category for each business category provided from the service providing server 200. [ Here, the interview theoretical content may be information in which items common to the interviews are organized by items, and the category for each business category is interlocked with the simulated interview voice contents configured in accordance with the competencies required in various industries, A category for providing mock interview content suitable for a business type.

The learner terminal 100 may select one or more categories of categories provided by the learner, and if any one category category is selected, the learner terminal 100 transmits a simulated interview voice content corresponding to the selected category from the service providing server 200 . Here, the simulated interview audio content is a content in which an interview question is provided as a voice for an online simulated interview of a learner.

At this time, the simulated interview audio content is output through the loudspeaker of the learner terminal 100 and may be provided together with the moving picture shooting function. If there is more than one interview question, the simulated interview audio content may be provided with a predetermined time interval The question can be provided as a recorded voice file.

The learner terminal 100 can take a simulated interview video corresponding to the provided simulated interview voice content through the camera function and transmit the photographed moving picture to the service providing server 200. [

The learner terminal 100 can receive a simulated interview addendum corresponding to the simulated interview moving picture from the service providing server 200. [ Here, the mock interview annotation is a result of analysis of the evaluation items analyzed by conversion into scores according to one or more mock interview evaluation items, the contents of the general opinions of the interview coaches, and the relative evaluation results using the big data of the service providing server 200 Or at least one of them.

The service providing server 200 may provide the interview theoretical content to the learner terminal 100. In this case, the interview theoretical content may be a form in which contents of interview theories are classified and categorized.

The service providing server 200 can transmit the simulated interview voice content corresponding to the selected category to the learner terminal 100 when any one of the one or more category categories provided by the learner terminal 100 is selected by the learner.

The service providing server 200 may receive a simulated interview moving picture photographed corresponding to the simulated interview voice content from the learner terminal 100 and may store the received simulated interview moving picture in a database in the server.

The service providing server 200 can transmit the simulated interview moving image received from the learner terminal 100 to the terminal of the interview coach previously selected by the learner. At this time, the service providing server 200 may transmit the simulated interview moving image to the plurality of interview coach terminals 300 preselected by the learner according to the learner's selection.

The service providing server 200 can receive a simulated interview insert corresponding to a simulated interview moving picture from the interview coach terminal 300 and store the received simulated interview moving picture in a database in the server. In this case, when the service providing server 200 transmits the simulated interview moving picture to the plurality of interview coach terminals 300 preselected by the learner, the service providing server 200 may receive the simulated interview attaching instruction from each of the plurality of the interview coach terminals 300 have.

The service providing server 200 can perform a big data analysis for each mock interview evaluation item based on a plurality of mock interview scorers stored in a database in the server.

At this time, the service providing server 200 may generate a relative evaluation result for each evaluation item to the learner through the big data analysis, which may be included in the simulated interview insert received from the interview coach terminal 300.

The service providing server 200 may transmit the simulated interview insert including the relative evaluation result of each evaluation item generated through the analysis of the big data to the learner terminal 100. [

The interview coach terminal 300 can receive the simulated interview moving picture photographed at the learner terminal 100 from the service providing server 200. [

The interview coach terminal 300 may display the simulated interview moving image received from the service providing server 200 and provide the simulated interview moving picture to the interview coach and receive the contents of the simulated interview adding book from the interview coach.

The interview coach terminal 300 can transmit the adder book received from the interview coach to the service providing server 200. In this case, the transmitted simulated interviewer book may include the recommended learning content. Here, the recommended learning contents may be recommended contents corresponding to the evaluation items that the learner lacks in accordance with the result of the mock interview evaluation, and may be inputted by the interview coach or pre-stored by the interview coaching adding application, Or an Internet link address.

2 is a block diagram illustrating a configuration of a service providing server 200 according to an embodiment of the present invention.

2, a service providing server 200 according to an exemplary embodiment of the present invention includes a simulated interview voice content providing unit 210, a simulated interview moving picture receiving unit 220, a simulated interview adder receiving unit 230, And an incrementing and decrementing unit transfer unit 240.

The simulated interview voice content providing unit 210 may transmit the simulated interview voice content corresponding to the selected category to the learner terminal if any one of the one or more category categories provided by the learner terminal 100 is selected by the learner.

For example, the mock interview voice content provider 210 provides categories according to various occupational categories such as "service industry", "finance", "cosmetics", "food", " , "SK Telecom", "Samsung Electronics", "LG Electronics", etc., will be provided by voice.

At this time, the mock interview voice content provided by the mock interview voice content providing unit 210 can provide one or more interview questions as a voice. In the case where there are plural interview questions, one interview question is provided, The content may be in the form of a form in which another interview question is provided at a predetermined time interval so that the interview question can be made.

The mock interview voice content providing unit 210 may provide the interview theoretical content for each category before providing the learner terminal 100 with one or more category information.

For example, the mock interview voice content provider 210 may include a first step of an interview, an interview storytelling and self introduction, a personality interview interview speech, a job capability interview interview, a PT interview and a discussion interview "And" interview image persuasion strategy "can be provided through the learner terminal 100, and the interview theoretic content corresponding to each category can be provided.

The simulated interview moving picture receiving unit 220 can receive the simulated interview moving picture photographed corresponding to the simulated interview audio content from the learner terminal 100 and store the received simulated interview moving picture in the database in the server.

The simulated interview moving picture receiving unit 220 stores the simulated interview moving picture received from the learner terminal 100 by matching with the learner's information and stores the mock interview moving picture received from the learner terminal 100 by the later learner, The mock interview video corresponding to the information of the learner requesting the video viewing can be transmitted to the learner terminal 100 and provided.

The simulated interview addendum receiving unit 230 may transmit the simulated interview moving picture received from the learner terminal 100 to the interview coach terminal 300 previously selected by the learner.

According to an embodiment of the present invention, when there are a plurality of interview coach terminals 300 selected by the learner, the simulated interview adder receiving unit 230 transmits the simulated interview videos received from the learner terminal 100 to a plurality of interview coaches To the terminal (300).

The simulated interview subscriber receiving unit 230 may transmit a simulated interview moving picture stored in the database in the server and may deliver the simulated interview moving picture to the interview coaching mobile terminal 300 immediately after receiving the simulated interview moving picture from the learner terminal 100 .

The simulated interview addendum receiving unit 230 can receive the simulated interview addendum corresponding to the simulated interview moving picture from the interview coach terminal 300 and can store the received simulated interview addendum in the database in the server.

According to an embodiment of the present invention, when there are a plurality of the interview coach terminals 300 previously selected by the learner, the simulated interview adder receiving unit 230 receives the simulated interview adder from the plurality of the interview coach terminals 300, The received simulated interview annotations can be matched and stored for each interview coach.

The simulated interview addendum receiving unit 230 may match the simulated interview addend received from the interview coach terminal 300 with learner information and store the simulated interview addendum so that the simulated interview addendum can be utilized in the request of the learner to read the subscript or to analyze the big data.

At this time, the simulated interview addendum received by the simulated interview addendum receiver 230 from the interview coach terminal 300 includes an analysis result of the evaluated items analyzed by conversion into scores according to one or more simulated interview evaluation items, A comprehensive opinion content, and a recommended learning content based on the analysis result, and detailed contents of the simulated interview addition sheet will be described with reference to FIG.

The simulated interview adder transmitting unit 240 may transmit the simulated interview addend received from the interview coach terminal 300 and stored in the database in the server to the learner terminal 100.

The simulated interview adder transmission unit 240 performs a big data analysis for each simulated interview evaluation item based on the adder book received and stored from one or more of the interview coach terminals 300 and transmits the simulated interview evaluation items The relative evaluation result can be transmitted.

The mock interviewer sending unit 240 may transmit a relative evaluation result for each mock interview evaluation item in the mock interviewer received from the interview coach terminal 300 and may transmit the mock interviewer separately from the mock interviewer sending .

3 is a flowchart illustrating a personalized online interview coaching supplementary service process using Big Data according to an embodiment of the present invention.

First of all, the service providing server 200 provides the learner terminal 100 with the "first step of interview", "interview storytelling and self introduction", "personality capacity interview speech", "job capability interview speech" Interview "and" Interview image persuasion strategy "may be provided according to category classification (S301).

Thereafter, the service providing server 200 transmits to the learner terminal 100 the business category according to various occupational grouping categories such as "service industry", "finance", "cosmetics", "food" (S302).

When one or more category categories are selected (S303) by the learner terminal 100, the service providing server 200 transmits the simulated interview voice contents corresponding to the selected category to the learner terminal 100 (S304) can do.

For example, when the learner terminal 100 selects the category of "electrical and electronic IT communication" among the one or more categories of the business category (S303), the service providing server 200 selects "SK Telecom" LG Electronics ", the simulated interview audio content provided by the voice can be transmitted to the learner terminal 100 (S304).

The learner terminal 100 receiving the simulated interview voice content from the service providing server 200 (S304) can perform the simulated interview moving picture photographing corresponding to the simulated interview voice content by the learner (S305).

At this time, the learner terminal 100 may transmit the simulated interview moving picture photographed by the service providing server 200 (S306) upon completion of the simulated interview moving picture photographing (S305).

The service providing server 200 receiving the simulated interview moving picture from the learner terminal 100 can store the simulated interview moving picture in the database in the server S307 and can also store the simulated interview moving picture S307 and the interview coaching terminal 300, It is possible to transmit the corresponding simulated interview moving picture (S308).

The interview coach terminal 300 receiving the simulated interview moving image from the service providing server 200 receives the simulated interview insert corresponding to the received simulated interview moving image by the interview coach (S309).

In the mock interview adding step (S309) of the interview coach, a corresponding score of one or more mock interview evaluation items may be input for the mock interview video, and the general opinion content of the interview coach may be input. In addition, recommended learning contents such as an e-book or an Internet link address for allowing the learner to refer to the evaluation item that is not standardized may be inputted according to the learner's evaluation result.

According to the embodiment of the present invention, when the recommended learning content is input by the interview coach, when the future learner selects the recommended learning content included in the simulated interview supplementary book, it is linked to the corresponding content, So that a service can be provided.

The interview coach terminal 300 can transmit the simulated interview insert to the service providing server 200 at step S310 when the simulated interviewing server input S309 is completed at the interview coach terminal 300. [

The service providing server 200 may store the simulated interview insert received from the interview coach terminal 300 in the database in the server (S311).

In response to a learner's request, the service providing server 200 performs a big data analysis on the basis of one or more mock interview annotations stored in the database in the server (S312). The relative evaluation results of the mock interview evaluation items Can be included in the simulated interview insert received from the interview coach terminal 300.

Thereafter, the service providing server 200 may transmit a simulated interview insert including the relative evaluation result for each simulated interview evaluation item to the learner terminal 100 (S313).

Specifically, the service providing server 200 may include an analysis result of each learner with respect to each evaluation item received from the interview coach terminal, or may indicate the relative rank of each learner's item.

For example, if the learner's score on the "Attitude Analysis" item of one or more items is "9", the average score on the "Attitude Analysis" item of the other students on the same graph or table is "5" Or 47 in the item of "Attitude Analysis", which is the learner's rank, may be expressed as "47/100", but the present invention is not limited thereto.

4 is a view illustrating a screen displayed on the learner terminal 100 when providing a personalized online interview coaching service according to an embodiment of the present invention.

First, as shown in (a), the learner terminal 100 can display and provide the interview theoretical content provided from the service providing server 200 for each category, and when one of the one or more categories is selected, The content of the interview theory corresponding to the category can be displayed and provided.

The learner terminal 100 displays a moving picture photographing screen of the learner, as shown in (b), when the simulated interview moving picture corresponding to the simulated interview voice content received from the service providing server 200 is photographed, You can monitor and record interview videos. Also, at the top of the screen, a mock interview question provided with voice can be displayed as a subtitle.

When the learner selects the "Next" button, the simulated interview moving picture taking is automatically stopped, and the taken mock interview moving picture is immediately transmitted to the service providing server 200. [

The learner terminal 100 may list and display one or more interview coach information previously received from each of the one or more interview coach terminals 300, as shown in (c). The learner can select any one of the displayed at least one interview coach information list so that detailed information of the interview coach can be viewed and the selected interview coach can be selected as the interview coach of the learner.

At this time, the interview coach information may include, for example, the business type information on which the interview coach can coach, the interview coach name, the interview coach photograph, and the coaching history information.

the information of the interview coach selected by the learner can be displayed on the learner terminal 100, as shown in (d) of FIG. 5, when the learner selects any one of the one or more interview coaches.

In addition, at the bottom of the interview coaching information, the simulated interview history of the learner who requested coaching to the interview coach can be displayed and listed by date. If the interview coach has no history of requesting coaching, the learner's simulated interview history may not be displayed.

In addition, a thumbnail of the mock interview video may be posted on the mock interview history listed by date, and information on the category type for each business category selected by the learner may be posted.

FIG. 5 is a diagram illustrating a screen displayed on the learner terminal 100 when providing a personalized online interview coaching supplementary service using Big Data according to an embodiment of the present invention.

First, the learner terminal 100 can display a simulated interview insert received from the service providing server 200. [

At this time, the learner terminal 100 can display a simulated interview addendum by dividing it into a "personal coaching analysis" banner and an "interview learning analysis" banner.

First, when the learner selects the "personal coaching analysis" banner, it is possible to display an analysis result of the evaluation items converted into scores according to one or more mock interview evaluation item categories as shown in (a) and (b) have.

In this case, the analysis results of the evaluation items converted into scores according to one or more mock interview evaluation items can be displayed in various graphs or tables.

For example, among the mock interview evaluation items, the item "Analysis of answer content" can be subdivided into subcategories such as "intent grasp", "language selection", "logic", "appropriateness", "specificity", " , "8 points" for the "language selection" item, "7 points" for the "logical" item, and "8 points" for the " The scores for the "appropriateness" item are shown as "4 points", for the "concrete" item, "3 points", and for the "differentiation" item, the score is indicated as "4 points".

Further, when the learner selects the "personal coaching analysis" banner, the contents of the comprehensive opinion of the interview coach can be displayed, as shown in (b).

The contents of the general interview of the interview coach may include the subjective opinion of the interview coach according to the analysis result by the evaluation item and the suggestion method of the improvement.

(c), when the learner selects the "interview learning analysis" banner, the recommended learning contents inputted by the interview coach can be displayed.

At this time, the recommended learning contents may include texts such as e-books or link addresses for Internet literatures.

For example, when a learner selects a recommended learning content in the form of an e-book, the e-book application can be automatically executed to display the recommended learning material. In addition, when a learner selects a recommended learning content in the form of a link address for an Internet document, the web browser application can be automatically executed to display a web page corresponding to the selected link address.

In addition, the learner terminal 100 can display a learning progress graph for each competitor so that the learner can analyze the learning progress through the " interview learning analysis "banner of the simulated interview supplementary book.

the learner terminal 100 can always display information on the learner at the top of the screen when displaying the simulated interview addendum as shown in Figs. 4A, 4B, and 4C.

According to an embodiment of the present invention, by providing an online simulated interview service through an application, a simulated interview can be performed in real time and feedback can be provided in a learner's position without restriction of place and time, So that it can provide convenience.

In addition, according to an embodiment of the present invention, a learner can be provided with a highly reliable evaluation result by providing the learner with a relative evaluation result of each evaluation item through analysis of big data based on the information of the learner and the addendum.

According to an embodiment of the present invention, since the learner is provided with the recommended learning contents corresponding to the items lacking in accordance with the analysis results of the evaluation items, the learner does not have to search the related learning materials individually for the improvement of the deficient portion. It is possible to shorten the time spent preparing for the interview.

It should be understood that the effects of the present invention are not limited to the above effects and include all effects that can be deduced from the detailed description of the present invention or the configuration of the invention described in the claims.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included within the scope of the present invention.

100: the learner terminal
200: service providing server
210: Simulated interview audio content provisioner
220: mock interview video receiver
230: Simulation interview incrementer receiver
240: Simulated interview adder transmission unit
300: Interview coach terminal

Claims (9)

A method for providing a personalized online interview coaching supplementary service using a big data,
Transmitting a simulated interview voice content corresponding to a selected category to a learner terminal if any one of at least one category classified by industry provided to the learner terminal is selected by the learner;
Receiving and storing a simulated interview moving picture photographed corresponding to the simulated interview voice content from the learner terminal;
Receiving a simulated interview moving picture received from the learner terminal to a terminal of an interview coach previously selected by a learner, receiving and storing a simulated interview adder corresponding to the simulated interview moving picture from the interview coaching terminal; And
And transmitting the simulated interview addendum including the recommended learning content to the learner terminal.
The method according to claim 1,
The step of transmitting the simulated interview add-
Performing a big data analysis for each mock interview evaluation item on the basis of the adder book received and stored from the one or more interview coaching terminals and transmitting a relative evaluation result for each mock interview evaluation item to the learner terminal, A method of providing an annotation service.
The method according to claim 1,
Wherein the simulated interview voice transmission step comprises:
Providing the interview theoretic content before providing the category information to the learner terminal.
The method according to claim 1,
The simulated interview add-
A method of providing an online interview coaching admission service, comprising the analysis results of the evaluation item analyzed as a score according to one or more mock interview evaluation items, and the contents of a general opinion.
A simulated interview voice content transmitting unit for transmitting the simulated interview voice content corresponding to the selected category to the learner terminal if any one of the one or more category categories provided by the learner terminal is selected by the learner;
A simulated interview moving picture receiving unit for receiving and storing a simulated interview moving picture photographed corresponding to the simulated interview voice content from the learner terminal;
A simulated interview adder receiving a simulated interview moving picture received from the learner terminal to a terminal of an interview coach previously selected by a learner and receiving and storing a simulated interview adding instruction corresponding to the simulated interview moving picture from the interview coaching terminal; And
And a simulated interview adder transmitting unit for transmitting the simulated interview addendum including the recommended learning contents to the learner terminal.
6. The method of claim 5,
Wherein the simulated interview adder transmission unit comprises:
Performing a big data analysis for each mock interview evaluation item on the basis of the adder book received and stored from one or more interview coach terminals and transmitting a relative evaluation result for each mock interview evaluation item to the learner terminal.
6. The method of claim 5,
Wherein the simulated interview voice content transmitter comprises:
And provides the interview theoretical content before providing the category for each category to the learner terminal.
6. The method of claim 5,
The simulated interview add-
A service providing server including analysis results of the evaluation item analyzed by the score according to one or more mock interview evaluation items and contents of the general opinions.
And transmits the received simulated interview video to the interview coach terminal, receives the add-on document from the interview coach terminal, and transmits the simulated interview video to the learner terminal To the service providing server;
Receiving the one or more category information and the simulated interview voice content from the service providing server, capturing the simulated interview moving picture and transmitting the same to the service providing server, receiving a simmer book for the simulated interview moving picture from the service providing server A learner terminal; And
And an interview coach terminal for displaying the simulated interview moving picture when the simulated interview moving picture is received from the service providing server and transmitting the simulating book to the service providing server.
KR1020160004617A 2015-10-02 2016-01-14 System for coaching and correcting personalized online interview utilizing big data KR20170040065A (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20200092460A (en) 2019-01-07 2020-08-04 주식회사 제네시스랩 Interview Preparation Service Providing Method, System and Computer-readable Medium Using Machine Learning
KR20200110018A (en) * 2019-03-15 2020-09-23 주식회사 제네시스랩 Method for Providing College Early Admission Preparing Service and System Thereof
KR20210012500A (en) * 2019-07-25 2021-02-03 주식회사 제네시스랩 Interview Automatic Evaluation Model Learning Method, System and Computer-readable Medium
KR102225472B1 (en) * 2019-11-05 2021-03-09 두산중공업 주식회사 Apparatus and method for coaching interview
KR20210109704A (en) * 2020-02-27 2021-09-07 주식회사 제네시스랩 Feature Information Derivation From A Plural of frames System Using Machine Learning Model, Methods, Computer-Readable Mediums thereof, and Interview Preparation Service Providing Method
KR102310135B1 (en) * 2020-03-30 2021-10-08 주식회사 제네시스랩 Method, System and Computer-readable Medium for Conducting Recruitment Processes for Applicants Using Machine Learning Model
KR20220037130A (en) 2020-09-17 2022-03-24 서동민 Method for recommending and providing curriculum to interview learner and apparatus using the same

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20200092460A (en) 2019-01-07 2020-08-04 주식회사 제네시스랩 Interview Preparation Service Providing Method, System and Computer-readable Medium Using Machine Learning
KR20200110018A (en) * 2019-03-15 2020-09-23 주식회사 제네시스랩 Method for Providing College Early Admission Preparing Service and System Thereof
KR20210012500A (en) * 2019-07-25 2021-02-03 주식회사 제네시스랩 Interview Automatic Evaluation Model Learning Method, System and Computer-readable Medium
KR102225472B1 (en) * 2019-11-05 2021-03-09 두산중공업 주식회사 Apparatus and method for coaching interview
KR20210109704A (en) * 2020-02-27 2021-09-07 주식회사 제네시스랩 Feature Information Derivation From A Plural of frames System Using Machine Learning Model, Methods, Computer-Readable Mediums thereof, and Interview Preparation Service Providing Method
KR102310135B1 (en) * 2020-03-30 2021-10-08 주식회사 제네시스랩 Method, System and Computer-readable Medium for Conducting Recruitment Processes for Applicants Using Machine Learning Model
KR20220037130A (en) 2020-09-17 2022-03-24 서동민 Method for recommending and providing curriculum to interview learner and apparatus using the same

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