KR102295561B1 - Personalized self-introduction coaching service method and system using big data and artificial intelligence - Google Patents

Abstract

The present invention relates to a personalized self-introduction coaching service method using big data and artificial intelligence, and a smart device that analyzes a plurality of conventional self-introduction letters and artificial intelligence capable of asking and answering questions with users of the smart device accessing a personalized personal introduction coaching service server including an intelligent chatbot; A step in which the artificial intelligence chatbot asks the user a question for writing a self-introduction letter generated based on at least one of the analysis big data corresponding to the requirements and duties of the supporting company, and the user answers the question through the smart device ; and the personalized self-introduction coaching service server extracts keywords from the user's answer to the question for writing the self-introduction and labels the intent of the answer to generate user response data, and the user response data is the and reflecting it in the big data analysis so that it is reflected in the question generation for writing the self-introduction.

Description

Personalized self-introduction coaching service method and system using big data and artificial intelligence}

The present invention relates to a method and system for a personalized self-introduction coaching service utilizing big data and artificial intelligence.

The self-introduction letter is a tool to organize oneself, and it affects the overall selection process, including evaluation in the document screening and interview questions based on the contents written during the interview.

In the midst of this, on June 22, 2017, the government proposed 'mandatory blind recruitment in the public sector' and many large corporations implemented blind hiring, and companies analyzed applicants based on limited unstructured text, the job seeker's self-introduction letter and resume without specifications. The importance of self-introduction is growing more and more.

As such, the importance of the cover letter is growing in the hiring process, but according to a survey on a recruitment site, 8 out of 10 job seekers are at a loss for what to write when writing a cover letter (69.9%). They feel difficulties in writing self-introductions due to difficulties in writing stories (49.3%).

In order to write a self-introduction, various methods such as filling in the blanks and fitting them according to the form have appeared, but it is difficult to write a differentiated self-introduction letter, and furthermore, if you imitate someone else's self-introduction letter, you will be at a disadvantage through plagiarism analysis. There is a problem you are facing.

In addition, in order to solve this problem, a service in which mentors provide guidance on self-introduction written by job seekers has begun to develop. As a prior art of the self-introduction guide service provided by these mentors, there is Korean Patent Application Laid-Open No. 2016-0037296.

However, in the prior art, since the job seeker writes a self-introduction letter, selects a mentor who wants correction guidance, receives the mentor's opinion, and receives correction guidance, it takes a long time for popular mentors to provide correction guidance, so the deadline for submitting the self-introduction statement is shortened. There is a problem that it is not possible to receive correction guidance when it is imminent.

In addition, the prior art has a problem in that it is not possible to prepare for an interview based on the self-introduction because the self-introduction written by the job seeker is prepared for the document pass.

In addition, the prior art provides information about the career path such as the job seeker's aptitude, the job matching the aptitude, and the necessary experience and competency related to the job, because the prior art provides guidance on the self-introduction letter without reviewing whether the company and job that the job seeker has already selected matches the job seeker. There is a problem that cannot be done.

The technical problem to be solved by the present invention is to provide a personalized self-introduction coaching service by exchanging questions and answers for self-introduction writing through an artificial intelligence chatbot with a user.

Another technical problem to be solved by the present invention is to provide a personalized self-introduction coaching service that allows users to exchange questions and answers for self-introduction writing through an artificial intelligence chatbot and prepare for an interview based on self-introduction. .

Another technical problem to be solved by the present invention is to provide a personalized self-introduction coaching service that provides information about career paths, such as job seekers' aptitude, job matching aptitude, job-related experience and competency, and the like.

In order to solve the above technical problem, according to a preferred aspect of the present invention, a smart device analyzes a plurality of conventional self-introductions of successful applicants and analyzes big data and an artificial intelligence chatbot capable of asking and answering questions with the user of the smart device. Accessing the personalized self-introduction coaching service server that contains; A step in which the artificial intelligence chatbot asks the user a question for writing a self-introduction letter generated based on at least one of the analysis big data corresponding to the requirements and duties of the supporting company, and the user answers the question through the smart device ; and the personalized self-introduction coaching service server extracts keywords from the user's answer to the question for writing the self-introduction and labels the intent of the answer to generate user response data, and the user response data is the It provides a personalized self-introduction coaching service method using big data and artificial intelligence, including; reflecting in big data analysis to be reflected in question generation for writing the cover letter.

Here, the personalized self-introduction coaching service server, generating classification data by extracting keywords for at least one of the industry, the job, and the company from the plurality of conventional self-introductions, and learning with the classification data; extracting keywords from the plurality of conventional self-introduction letters and labeling the intentions of the plurality of conventional self-introduction statements to generate intention understanding data, and learning from the intention identification data; and analyzing, by the personalized self-introduction coaching service server learned with the classification data and the intention identification data, the plurality of conventional self-introductions; the analysis big data may be generated through.

Here, the personalized self-introduction coaching service server may attach metadata to the big data analysis.

In addition, the personalized self-introduction coaching service server generating the self-introduction by converting the user's answer to the question for writing the self-introduction into a sentence; may be further included.

In addition, the step of the user inputting at least one profile of basic information and experience record through the smart device; the artificial intelligence chatbot asking the user a question for profiling and the user answering the question through the smart device; The personalized self-introduction coaching service server analyzes the answer to the question for the profiling, and at least any one of the user's aptitude, a job matching the aptitude, employment information matching the job, and the job-related necessary experience and competency It may further include; deriving profiling information including one.

Here, the question for the profiling may be generated based on the profile input by the user and the contents of the job psychological test of the job information and job psychological test providing site linked with the personalized self-introduction coaching service server. .

Here, the question for writing the self-introduction letter is based on at least one of the analysis big data and the profiling information including the intention of the contents of the self-introduction letter of the plurality of conventional successful applicants corresponding to the requirements of the company and the job. can be created with

Here, the personalized self-introduction coaching service server may be linked with a messenger application or artificial intelligence speaker installed in the smart device.

According to another preferred aspect of the present invention, in the personalized personal statement coaching service system using big data and artificial intelligence, including smart devices and personalized personal statement coaching service server, by accessing the personalized personal statement coaching service server, A smart device that answers questions for self-introduction; and an artificial intelligence chatbot capable of asking and answering questions and answers with analysis big data and the user of the smart device by analyzing a plurality of conventional self-introductions of successful applicants, wherein the artificial intelligence chatbot provides the user with a response that corresponds to the requirements and duties of the supporting company Asking a question for writing the self-introduction letter generated based on at least one of the analysis big data, extracting keywords from the smart device user's answer to the question for writing the self-introduction letter, and labeling the intent of the response to generate user response data, and reflect the user response data in the analysis big data to create a personalized self-introduction coaching service server that reflects the question generation for self-introduction writing; a personalized self-introduction coaching service system comprising a to provide.

Here, the personalized self-introduction coaching service server, generating classification data by extracting keywords for at least one of the industry, the job, and the company from the plurality of conventional self-introductions, and learning with the classification data; extracting keywords from the plurality of conventional self-introduction letters and labeling the intentions of the plurality of conventional self-introduction statements to generate intention understanding data, and learning from the intention identification data; and analyzing, by the personalized self-introduction coaching service server learned with the classification data and the intention identification data, the plurality of conventional self-introductions; the analysis big data may be generated through.

According to another preferred aspect of the present invention, it stores the user's profile, a plurality of self-introductions of the past successful applicants, analysis big data analyzing the plurality of conventional self-introductions, the company talent image, questions and profiling information for self-introduction, and DB department; an artificial intelligence chatbot that asks a question for writing the self-introduction with the user's smart device and receives an answer; an analysis unit that is learned from the analysis big data and analyzes a plurality of past applicants' resumes and answers of the users; And Personalized personal introduction coaching service comprising a; and a question generation unit that generates a question for writing the self-introduction based on at least one of the profiling information, the company's talent image, and the analysis big data corresponding to the job server is provided.

The present invention has the effect of reducing the social management cost of writing a self-introduction because it is possible to continuously ask structured questions through an artificial intelligence chatbot and write a natural self-introduction by the user.

In addition, the present invention has an effect of exchanging questions and answers for writing a self-introduction letter through an artificial intelligence chatbot with the user, and preparing for an interview based on the self-introduction letter.

In addition, the present invention has the effect of improving individual identity by providing information about the career path, such as the job seeker's aptitude, a job matching the aptitude, and necessary job-related experience and competency.

1 is a block diagram of a system for providing a personalized self-introduction coaching service using big data and artificial intelligence according to an embodiment of the present invention.
2 is a flowchart of a personalized personal introduction coaching service method using big data and artificial intelligence according to an embodiment of the present invention.
3 is a flowchart for generating big data analysis according to an embodiment of the present invention.
4 is a diagram for explaining generation of classification data according to an embodiment of the present invention.
5 is a diagram for explaining generation of analysis data according to an embodiment of the present invention.
6 is a view for explaining generating a question for writing a self-introduction according to an embodiment of the present invention.
7 is a flowchart of a personalized personal introduction coaching service method using big data and artificial intelligence according to another embodiment of the present invention.
8 is a configuration diagram of a personalized personal introduction coaching service server according to an embodiment of the present invention.

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to a specific embodiment, it should be understood to include all modifications, equivalents or substitutes included in the spirit and scope of the present invention.

Terms including an ordinal number such as 1st, 2nd, etc. may be used to describe various components, but the components are not limited by these terms. These terms are used only for the purpose of distinguishing one component from another.

When a component is referred to as 'connected' or 'connected' to another component, it may be directly connected or connected to the other component, but other components may exist in between. It should be understood that there is On the other hand, when it is mentioned that a certain element is 'directly connected' or 'directly connected' to another element, it should be understood that the other element does not exist in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present application, terms such as 'comprise' or 'have' are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

1 is a block diagram of a system for providing a personalized self-introduction coaching service using big data and artificial intelligence according to an embodiment of the present invention.

Referring to FIG. 1 , a system for providing a personalized personal statement coaching service 100 using big data and artificial intelligence includes a smart device 110 , a personalized personal statement coaching service server 120 , and employment information and job psychology. and a test providing site 130 .

The smart device 110 is connected to the personalized self-introduction coaching service server 120 by the user so that the user can receive the personalized self-introduction coaching service provided by the personalized self-introduction coaching service server 120 . Here, the smart device 110 may answer a question for writing a personal introduction provided by the AI chatbot by the personalized personal introduction coaching service server.

Personalized self-introduction coaching service server 120 is linked with job information search and direct psychological test providing site 130, and provides a personalized self-introduction coaching service to users and analysis big data that analyzed a plurality of conventional self-introduction letters. It includes an artificial intelligence chatbot that can ask and answer questions to provide. Here, the personalized self-introduction coaching service server 120 may provide a personalized self-introduction coaching service by interworking with a messenger application or artificial intelligence speaker (including a video speaker) installed in the smart device 110 .

Personalized self-introduction coaching service server 120 includes at least one of the user's aptitude, job matching aptitude, job matching job information, job-related experience and competency to the user through the smart device 110 By deriving and providing profiling information, users can identify jobs that are suitable for their aptitudes and equip them with competencies suitable for their jobs.

In addition, the personalized self-introduction coaching service server 120 asks a user a question for writing a self-introduction suitable for the supporting company and job when writing the self-introduction letter, so that it can be written according to the requirements corresponding to the supporting job and the talent desired by the supporting company. and prepare for the interview by asking and answering questions.

In addition, the personalized self-introduction coaching service server 120 generates user response data by extracting keywords from the answer contents of the smart device 110 user and labeling the intent of the answer contents to the question for writing the self-introduction letter, and user answers The data is reflected in the analysis big data and reflected in the question creation for self-introduction.

Recruitment information and job psychological test providing site 130 is interlocked with the personalized personal introduction coaching service server 120, and provides employment information and job psychological test information to the personally customized personal statement coaching service server 120.

2 is a flowchart of a personalized personal introduction coaching service method using big data and artificial intelligence according to an embodiment of the present invention.

Referring to FIG. 2 , in step S210 , the smart device 110 accesses the personalized personal introduction coaching service server 120 .

In step S220, the user of the smart device 110 inputs at least one profile of basic information and experience record. Here, the basic information may be personal information, academic background, grades, etc., and the experience record may be part-time work experience, intern/volunteer experience, school class project, award experience, language training experience, military uniform, etc.

In step S230, the personalized self-introduction coaching service server 120 uses an artificial intelligence chatbot to provide job information and job psychological test based on the job psychological test content of the site 130 and the user's profile input by the user of the smart device 110. asks a question for profiling, and the user of the smart device 110 answers the question for profiling.

In step S240, the personalized self-introduction coaching service server 120 analyzes the answers of the questions for profiling answered by the user, and the user's aptitude, the job matching the aptitude, the job matching job information, and job related needs Profiling information including at least one of experience and competency is derived. Here, the user can prepare by identifying his or her aptitude, the job that suits him, and the necessary job-related experience and competency based on the derived profiling information.

In step S250, the personalized self-introduction coaching service server 120 uses the artificial intelligence chatbot to ask the user a question for writing the company's self-introduction letter corresponding to the job-matching job information among the profiling information, and the user writes the self-introduction letter. Answers through the smart device 110 to the question for. Here, the question for self-introduction writing includes the intention of a plurality of conventional self-introduction statements corresponding to the company's requirements and duties such as the personal customized self-introduction coaching service server 120 profiling information, the company's talent image, etc. It may be generated based on at least one of the analyzed big data.

In step S260, the personalized self-introduction coaching service server 120 converts the user's answer to the question for writing the self-introduction letter into a sentence to generate the self-introduction letter.

In step S270, the personalized self-introduction coaching service server 120 extracts keywords from the user's answer to the question for writing the self-introduction and labels the intent of the answer to generate user response data and reflect it in the analysis big data. It should be reflected in the question creation for self-introduction.

3 is a flowchart for generating big data analysis according to an embodiment of the present invention.

Referring to Figure 3, in step S310, the personalized self-introduction coaching service server 120 collects a plurality of self-introductions of past successful applicants online, or stores a plurality of self-introductions of conventional successful applicants collected offline by an administrator.

In step S320, the personalized self-introduction coaching service server 120 uses natural language processing technology, natural language morpheme analysis technology, etc. to extract keywords for at least one of industry, job, and company from a plurality of conventional self-introduction letters, and classify data Create and learn from classification data.

In step S330, the personalized self-introduction coaching service server 120 extracts keywords from a plurality of conventional self-introduction statements using natural language processing technology, natural language morpheme analysis technology, etc. and labels the intention of the plurality of conventional self-introduction statements. ) to generate intention grasp data, and learn from intention grasp data. Here, the intention of the self-introductions of a plurality of past candidates who have passed the label is creativity, teamwork (collaboration), leadership, goal achievement, failure, problem solving, personality, strengths and weaknesses, abilities, hobbies, specialties, values, growth background, experience, academic , career, application motivation, desired job, aspirations after joining the company, respected person, motto, citation, job ability, travel, active, job ability, creative, meticulous, perseverance, positive, prudent, sincere, sense of purpose, flexibility, logical, Teamwork, challenging spirit, self-reliance, planning, willpower, interpersonal relationships, leadership, organizational ability, adaptability, trust, self-management, communication, responsibility, problem solving, self-confidence, etc. can be.

In step S340, the personalized self-introduction coaching service server 120 learned from the classification data and intention identification data analyzes a plurality of conventional self-introduction letters and generates analysis big data. Here, the personalized self-introduction coaching service server 120 may attach metadata to the analysis big data to facilitate access to the analysis big data.

4 is a diagram for explaining generation of classification data according to an embodiment of the present invention.

Referring to FIG. 4 , the personalized self-introduction coaching service server 120 uses natural language processing technology, natural language morpheme analysis technology, etc. to at least one of a company 410 and a job 420 in a plurality of conventional self-introduction letters. It generates classification data by extracting keywords for

Then, the personalized self-introduction coaching service server 120 is learned as classification data including at least one of the company 410 and the job 420, and classifies a plurality of conventional self-introductions by company and job.

5 is a diagram for explaining generation of analysis data according to an embodiment of the present invention.

Referring to FIG. 5 , the personalized self-introduction coaching service server 120 uses natural language processing technology, natural language morpheme analysis technology, etc. to classify a plurality of conventional self-introduction statements for each sentence, and after processing it in a sentence division 510 format. , extracts the keywords 520 from a plurality of conventional self-introductions processed in a sentence division 510 format.

Then, the personalized self-introduction coaching service server 120 analyzes the contents of the plurality of conventional self-introduction letters and the extracted keywords 520 based on the extracted keywords 520 and the contents of the self-introduction letter of the past successful candidates for each sentence. By dividing and labeling (530), intention grasp data is generated, and the intention grasp data is learned. Here, the personalized self-introduction coaching service server 120 initially receives the labeling 530 by the manager and generates intention understanding data, but after learning, the personalized self-introduction coaching service server 120 labels the 530 In this way, intention identification data can be generated.

The personalized self-introduction coaching service server 120 is trained with the classification data and intention identification data described in FIG. 3, analyzes a plurality of conventional self-introductions, categorizes them by company, industry, and job. Generates labeled analytics big data for

6 is a view for explaining generating a question for writing a self-introduction according to an embodiment of the present invention.

Referring to FIG. 6 , the personalized self-introduction coaching service server 120 includes the intentions of a plurality of conventional self-introduction letters that analyzed the contents of a plurality of conventional self-introduction letters corresponding to the company and job supported by the user. Based on at least any one of the analysis big data 610, the company's requirements corresponding to the company the user is supporting, and the user's profiling information 630, a self-introduction letter that can be written according to the talent desired by the supporting job and the supporting company Create a question 640 for writing. Here, the personalized self-introduction coaching service server 120 generates user response data by extracting keywords from the user's answer to the question for writing the self-introduction and labeling the intent of the answer, and reflects it in the analysis big data. It can be reflected in the creation of questions for writing the introduction.

7 is a flowchart of a personalized personal introduction coaching service method using big data and artificial intelligence according to another embodiment of the present invention.

Referring to FIG. 7 , in step S701 , the smart device 110 accesses the personalized personal introduction coaching service server 120 .

In step S702, the user of the smart device 110 inputs at least one profile of basic information and experience record.

In step S703, the smart device 110 user selects whether to perform the job psychological test, and when the user selects to perform the job psychological test, the step S704 is performed, and when the user selects not to perform the job psychological test, the step S712 is performed.

In step S704, the user of the smart device 110 selects whether to write a self-introduction, and if the user selects to write a self-introduction, step S708 is performed, and if it is selected not to write a self-introduction, step S705 is performed.

In step S705, the personalized self-introduction coaching service server 120 uses an artificial intelligence chatbot to provide the user with the job psychological test contents of the job information and job psychological test providing site 130 and the profile entered by the user for profiling. A question is asked and the user of the smart device 110 answers the question for profiling.

In step S706, the personalized self-introduction coaching service server 120 analyzes the answers of the questions for profiling answered by the user, and the aptitude of the user, the job matching the aptitude, the job matching information, and job related needs Profiling information including at least one of experience and competency is derived.

In step S707, the personalized self-introduction coaching service server 120 provides the user with a result value corresponding to the derived profiling information so that the user understands his or her aptitude, job that suits him, and job-related necessary experience and competency, make it ready Here, among the result values provided by the self-introduction coaching service server 120, job-related necessary experience and competency is the experience of the conventional passer in the self-introduction of the plurality of conventionally successful candidates in which the personalized self-introduction coaching service server 120 matches the job. and analysis big data that analyzes capabilities.

In step S708, the personalized self-introduction coaching service server 120 uses an artificial intelligence chatbot to provide the user with the job psychological test contents of the job information and job psychological test providing site 130 and the profile entered by the user for profiling Ask a question and the smart device 110 user answers the question for profiling.

In step S709, the personalized self-introduction coaching service server 120 analyzes the answers of the questions for profiling answered by the user, and the aptitude of the user, the job matching the aptitude, the job matching information, and job related needs Profiling information including at least one of experience and competency is derived.

In step S710, the personalized self-introduction coaching service server 120 uses an artificial intelligence chatbot to ask the user a question for writing a self-introduction letter of the company corresponding to the job-matching job information among the profiling information, and the smart device 110 user Answers the questions for writing the self-introduction letter.

In step S711, the personalized self-introduction coaching service server 120 converts the user's answers to the questions for writing the self-introduction into sentences to generate the self-introduction letter.

In step S712, a company and a job supported by the smart device 110 user are selected.

In step S713, the personalized self-introduction coaching service server 120 uses the artificial intelligence chatbot to ask questions for the job selected by the user and the company's self-introduction letter, and the smart device 110 user answers questions for self-introduction writing do.

In step S714, the personalized self-introduction coaching service server 120 converts the user's answers to the questions for writing the self-introduction into sentences to generate the self-introduction letter.

8 is a configuration diagram of a personalized personal introduction coaching service server according to an embodiment of the present invention.

Referring to FIG. 8 , the personalized self-introduction coaching service server 120 includes a DB unit 121 , an analysis unit 122 , a question generation unit 123 , an artificial intelligence chatbot 124 , and a communication unit 125 . .

The DB unit 121 includes the classification data analyzed by the analysis unit 122 of the profile input by the user through the smart device 110, a plurality of conventional self-introduction letters, and a plurality of conventional self-introduction letters, intention identification data, and analysis big data. It stores data, company talents, questions for self-introduction, questions for profiling, and profiling information.

The analysis unit 122 analyzes a plurality of conventional self-introductions using natural language processing technology, natural language morpheme analysis technology, etc., extracts keywords for at least one of industry, job, and company to generate classification data, ) is stored in

In addition, the analysis unit 122 analyzes a plurality of conventional self-introductions using natural language processing technology, natural language morpheme analysis technology, etc., and the analysis unit 122 extracts keywords and labels the intention of the contents of the plurality of conventional self-introduction letters (labeling) to generate intention identification data and store it in the DB 121.

In addition, the analysis unit 122 is learned from the classification data and intention identification data stored in the DB 121 , analyzes a plurality of conventional self-introductions of successful applicants, generates analysis big data, and stores the data in the DB 121 .

In addition, the analysis unit 122 generates profiling information by analyzing the answers of the questions for profiling answered by the user through the smart device 110 , and stores the profiling information in the DB 121 .

In addition, the analysis unit 122 generates user response data by extracting keywords from the question and answer contents for writing a self-introduction answered by the user through the smart device 110 and labeling the intent of the response contents, and the user response data is learned and reflected in the analysis big data and stored in the DB 121, so that the question generation unit 133 can be reflected in the question generation for self-introduction.

In addition, the analysis unit 122 searches for job information matching the job among the profiling information from the job information and job psychological examination providing site 130 linked through the communication unit 125 .

In addition, the analysis unit 123 transmits the previously analyzed content to the smart device 110 through the communication unit 125 .

The question generation unit 123 generates a question for writing a self-introduction letter based on at least one of the profiling information stored in the DB unit 121, the company's talent image, and the analysis big data corresponding to the job of the company, and the DB 121 ) is stored in

In addition, the question generation unit 123 for profiling based on the job information and job psychological examination providing site 130 linked through the communication unit 125 and the profile information stored in the DB unit 121 . A question is created and stored in the DB 121 .

The artificial intelligence chatbot 124 asks the user a question for writing a self-introduction letter and a question for profiling, etc. stored in the DB 121 through the smart device 110 and receives an answer through the user's smart device 110 . .

The communication unit 125 is connected to the smart device 110 and, as a result of the analysis by the analysis unit 122, provides a question for writing a self-introduction and a question for profiling.

In addition, the communication unit 125 is linked with the job information and job psychological test providing site 130 to receive the job psychological test content and job information.

Although the embodiments according to the present invention have been described above, these are merely exemplary, and those of ordinary skill in the art to which the present invention pertains will understand that various modifications and equivalent ranges of embodiments are possible therefrom. . Therefore, the true technical protection scope of the present invention should be defined by the following claims.

110: smart device 120: personalized self-introduction coaching service server
130: site providing job information and job psychological test

Claims (11)

Accessing, by a smart device, a personal-customized personal statement coaching service server including big data analyzed by a plurality of conventional self-introductions and an artificial intelligence chatbot capable of asking and answering questions with the user of the smart device;
The personalized self-introduction coaching service server generates a question for writing a self-introduction corresponding to the requirements and job of the supporting company to answer the question type and the question type based on the analysis big data, and the AI a chatbot asking the user a question for writing the self-introduction, and the user answering the question for writing the self-introduction through the smart device; and
The personalized self-introduction coaching service server extracts keywords from the answer to the question for writing the self-introduction and labels the intent of the answer to generate user response data, and reflects the user response data to the analysis big data. Including; to be reflected in question generation for self-introduction
Personalized self-introduction coaching service method using big data and artificial intelligence, characterized by
According to claim 1,
The personalized self-introduction coaching service server,
generating classification data by extracting keywords for at least one of a business type, the job, and the company from the plurality of conventional self-introductions of successful applicants, and learning from the classification data;
extracting keywords from the plurality of conventional self-introduction letters and labeling the intentions of the plurality of conventional self-introduction statements to generate intention understanding data, and learning from the intention identification data; and
Generating the analysis big data through the step of analyzing the plurality of conventional self-introductions by the personalized self-introduction coaching service server learned with the classification data and the intention identification data
Personalized self-introduction coaching service method using big data and artificial intelligence, characterized by
3. The method of claim 2,
The personalized self-introduction coaching service server attaches metadata to the analysis big data
Personalized self-introduction coaching service method using big data and artificial intelligence, characterized by
According to claim 1,
The step of generating, by the personalized self-introduction coaching service server, the self-introduction letter by converting the user's answer to the question for writing the self-introduction letter into a sentence
Personalized self-introduction coaching service method using big data and artificial intelligence, characterized by
According to claim 1,
inputting, by the user, at least one profile of basic information and experience record through the smart device;
the artificial intelligence chatbot asking the user a question for profiling and the user answering the question through the smart device;
The personalized self-introduction coaching service server analyzes the answer to the question for the profiling, and at least any one of the user's aptitude, a job matching the aptitude, employment information matching the job, and the job-related necessary experience and competency What further includes; deriving profiling information including one
Personalized self-introduction coaching service method using big data and artificial intelligence, characterized by
6. The method of claim 5,
The question for the above profiling is,
Created based on the job information and job psychological test providing site linked with the personalized self-introduction coaching service server, and the profile input by the user
Personalized self-introduction coaching service method using big data and artificial intelligence, characterized by
6. The method of claim 5,
The questions for writing the self-introduction letter are:
What is generated based on at least one of the analysis big data and the profiling information including the intention of the contents of the self-introduction letter of the plurality of previous successful applicants corresponding to the requirements of the company and the job
Personalized self-introduction coaching service method using big data and artificial intelligence, characterized by
According to claim 1,
The personalized self-introduction coaching service server is linked with a messenger application or artificial intelligence speaker installed on the smart device
Personalized self-introduction coaching service method using big data and artificial intelligence, characterized by
In the personalized self-introduction coaching service system using big data and artificial intelligence, including smart devices and personalized self-introduction coaching service servers,
a smart device that accesses the personalized self-introduction coaching service server and answers questions for self-introduction; and
Including analysis big data that analyzes a plurality of past applicants' self-introductions and an artificial intelligence chatbot capable of asking and answering questions and answers with users of the smart device, support for question types and answers to the question types based on the analysis big data Generates a question for writing a self-introduction corresponding to the company's requirements and job, the artificial intelligence chatbot asks the user a question for writing a self-introduction, and the smart device user responds to the question for writing the self-introduction A personalized self-introduction coaching service server that extracts keywords from answers and labels the intent of the answers to generate user response data, and reflects the user response data to the analysis big data to generate questions for writing the self-introduction; containing
Personalized personal introduction coaching service system using big data and artificial intelligence, characterized by
10. The method of claim 9,
The personalized self-introduction coaching service server,
Generate classification data by extracting keywords for at least one of the industry, the job, and the company from the plurality of conventional self-introductions, and learn from the classification data,
Extracting keywords from the plurality of conventional self-introduction statements and labeling the intentions of the plurality of conventional self-introduction statements to generate intention understanding data,
After learning with the intention identification data, the personalized self-introduction coaching service server learned with the classification data and the intention identification data analyzes the plurality of conventional self-introductions to generate the analysis big data
Personalized personal introduction coaching service system using big data and artificial intelligence, characterized by
a DB unit that stores user's profile, a plurality of self-introductions of past successful applicants, big data analyzed by analyzing the plurality of conventional self-introductions, a company persona image, questions for self-introduction, and profiling information;
an artificial intelligence chatbot that asks a question for writing the self-introduction with the user's smart device and receives an answer;
an analysis unit that is learned from the analysis big data and analyzes a plurality of past applicants' resumes and answers of the users; and
A question generating unit that generates a question for writing the self-introduction letter corresponding to the type of question, the profiling information, and the person and job of the company based on the analysis big data;
Personalized self-introduction coaching service server featuring a.

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