KR101813540B1 - Job Creating System for Broadcasting and Communication Convergence Using Artificial Intelligence - Google Patents

Abstract

The present invention relates to a broadcast and communication convergence job creation device using artificial intelligence and online information and a method thereof, capable of enabling a job creation content developer using artificial intelligence to find jobs for capabilities and aptitudes of the public by making the public have optimal job skills through future job creation and one-to-one job customization. Through artificial intelligence, a future anticipation function is employed to create future jobs by extracting job information from bigdata, and an information providing system with easy access is built to interlink online media. The present invention includes: an input unit providing information provided online; an application program interface (API) driver extracting job information by retrieving and analyzing the information provided from the input unit; and a bigdata server (60) receiving the information from the input unit and the API drive (40) to retrieve and analyze words associated with jobs.

Description

{Job Creation System for Broadcasting and Communication Convergence Using Artificial Intelligence}

The present invention relates to a system and method for creating a broadcasting and communication convergence job utilizing artificial intelligence, and more particularly, to a system and method for creating a broadcasting and communication convergence job by utilizing artificial intelligence in conjunction with future job information, personal vocational ability, And to a method and system for creating a broadcasting and communication convergence job utilizing artificial intelligence that provides education and training system and management management system and method thereof.

Recently, online life is becoming commonplace due to the development of information and communication technology. Job seekers who want to get a job can acquire and utilize all job openings information through SNS, smart, portal, various online devices and community without looking for a job.
The recent buzz is about the economy. It can be summarized as 'Jobs are the economy.' People work to eat and live. Jobs are a source of business. The government and the people are striving to create jobs by devoting their national power to make the people eat well and live well. However, it is a real problem that the government does not create jobs as the jobs are created.
The inventor of the present invention has a need to revolutionize recognition that the paradigm for creating future jobs and good job creation functions that the government and corporations can not create by utilizing artificial intelligence is needed.
Since the first industrial revolution of the 1760s, there has been a tremendous investment, production and rapid economic development in the middle of the third industrial revolution.
In the process, numerous industrial technologies, science and technology, and management technology were developed and huge jobs were discovered and created.
During the third industrial revolution in the latter half of the 20th century, the knowledge and information revolution triggered by computers and the internet has made remarkable progress in production and investment. Until the Second Industrial Revolution, technology development and utilization were mainly performed offline.
However, since the Third Revolution, the information and information revolution has led to the industrial revolution and the online revolution of the job revolution has begun to take place.
In particular, it was noted that artificial intelligence, leading to the fourth industrial revolution, enabled the complete online creation of jobs.
The fourth industrial revolution, which has been revived in recent years, has brought about the breakthrough of industry and technology by utilizing ICBM (IoT, cloud computing, big data, and mobile) as artificial intelligence and convergence become key driving force.
However, these technological developments and the breakthroughs of the industry have caused the problem that many jobs have disappeared. If the job as a place of life is lost, the problem is that humanity faces a catastrophe of job famine. Such a job famine can cause serious economic and social problems in the 1930s than in the Great Depression.
Futurist Thomas Frey predicted that by the fourth industrial revolution led by artificial intelligence, 2 billion jobs would be lost by 2030. Most of the disappearing jobs are government and public sector jobs, large business jobs, manufacturing jobs, and 3D industries (Dirty, Dangerous, Difficult) jobs. Thousands of years ago, Schumpeter suggested entrepreneurship, innovation, creative destruction, etc., and warned that the government, the public sector and large corporations would be an obstacle to economic development because of bureaucracy. In the era of artificial intelligence, jobs in these sectors are classified as jobs that should be greatly reduced.
However, developers of artificial intelligence job creation models predicted that using artificial intelligence in the job revolution could create 2.5 billion high quality new jobs over the same period. The advanced technology developed and utilized by artificial intelligence makes many jobs disappear in the Fourth Industrial Revolution, but creates many new jobs in the Fourth Jobs Revolution. Jobs that will be created in the Fourth Jobs Revolution include jobs related to artificial intelligence, jobs related to ICBM industry, jobs related to information and telecommunications industries, new manufacturing jobs such as robot autonomous vehicles, future jobs created by artificial intelligence, overseas jobs, Sector jobs. These new industries can create 20 to 30 percent more jobs than jobs that disappear in the industrial sector.
Depending on how artificial intelligence is used, humanity can be disastrous and happy.
Specifically, the inventors of the present invention have recognized that it is necessary to drastically change the paradigm of economic paradigm and job creation and to change the system.
Until now, jobs have been narrowly created in a narrow domestic market, with governments and corporations being offline and limited. However, artificial intelligence can create infinite jobs on-line in a wide and infinite cyber space. I want to pursue a paradigm shift from finite to infinite.
That is why the question of how to create excavation of many jobs, customized education and training, personalized start-up business, matching service, and one-stop service is the way to change the paradigm. Changing the paradigm of a job is not the domain of the human person. It is beyond the level of human intelligence.
The inventor of the present application has conceived of inventing an artificial intelligence creating a job by paying attention to the fact that artificial intelligence can be utilized to create a large quantity of high quality jobs.
For example, as in the case of Alpha Go and Sedol's Baduk Confrontation, no one can suffer artificial intelligence, even in the creation of jobs, as humans do not suffer from alpha (artificial intelligence).
However, artificial intelligence has psychic ability to overcome humanity, but it is human intelligence (man) that produces artificial intelligence. This is why inventors of artificial intelligence job creators have used artificial intelligence to create future jobs.

With the recent development of various API (Application Program Interface) technologies, it is possible to utilize new information providing and acquiring method by drawing necessary data and acquiring necessary data through process analysis connection search, etc., (Internet of Every Thing), the environment for providing and utilizing information can be established anytime and anywhere.

In other words, big data analysis, development of new job creation techniques through processing, trend change, future prediction, and future job creation are becoming possible.

However, existing job information, entrepreneurial information, job information, and job search information do not exceed the standard job classification (SOC), and information required for job seekers such as job information in daily life is not provided to the actual job seeker .
Thus, conventionally, there has been a problem in that it is impossible to create jobs through the International Standard Classification of Work (ISOC).
Also, in the past, a method of finding a job by providing a job to a job seeker, a founder, or a genuine employer was utilized by a corporation or an individual through job search information, but there was a great problem that the job seeker was not provided with the optimum job .

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The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide a system for creating a broadcasting and communication convergence job utilizing all job-related information and artificial intelligence provided on-line.
Another object of the present invention is to provide a broadcasting and communication convergence job creation means utilizing artificial intelligence that analyzes and processes information provided through broadcasting communication and generates new job codes electronically.
Another object of the present invention is to establish a virtuous cycle system for creating jobs that will grow and develop the economy by creating job, job creation, and entrepreneurship after job creation by utilizing on-line and artificial intelligence, And to provide a convergence job creating system and a method thereof.
An important object of the present invention is to provide a job creation content creator who utilizes artificial intelligence to create future jobs and customized one-to-one job customization so that all citizens can have the optimal job ability, The future goal is to find out.

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A system for creating a broadcasting and communication convergence job that utilizes artificial intelligence according to a preferred embodiment of the present invention includes input means for receiving information provided on-line, search for information provided from the input means, A big data server 60 for receiving information from the input means and the API drive 40 and for searching and analyzing job related terms; A plurality of web servers (10) and an app server (12) for transmitting and receiving information on-line; and an information providing server A new technology information database 30 storing new technology information provided in domestic and foreign countries, And a mobile device (50) for obtaining information via a standby device; The API drive 40 performs a function of extracting information through search, analysis, and processing using the collected data without constructing each program separately for each of the input means; A job creation database 70 for organizing job information newly derived by utilizing the artificial intelligence in the big data server 60 to provide job information to a user online, The job information provided by the user may include a means for deriving a job specific item for creating and classifying a 1: 1 customized job suitable for each user, a user learning list deriving means for deriving a learning list to be learned according to a request for each user, And a user learning and learning means for taking and learning by learning the application and deriving the history thereof.

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According to the embodiment of the present invention, it is possible to realize an effect of establishing a system linking a corporation, an education company, an education / training institution, and an information / public institution that have built a comprehensive job DB through job-related big data analysis.

In addition, comprehensive job analysis through analysis of job-related big data can provide the effect of providing tailored personal education system by individual, group, and company.

In addition, it is possible to provide an effect of providing a customized job and a customized education system in which individuals and organizations, companies, public institutions, and the like are linked to individual detailed abilities.

In addition, it is possible to build an information providing system that links various media provided online, and to realize a system which is easy to access by a broadcasting and communication convergence system.
Further, according to the preferred embodiment of the present invention, the following effects can be additionally achieved.
First of all, it is possible to increase the income of economic development by inducing job creation and post-investment and to create jobs that disappear by the 4th industrial revolution through the artificial intelligence job revolution. .
In addition, it can contribute to the improvement of the welfare of the people by replacing old old jobs with artificial intelligence jobs, and it is possible to overcome regulatory interference bureaucraticism such as spider silk by creating jobs in cyber space by utilizing artificial intelligence.
In addition, it is possible to open the era of public happiness with the newly created good job, and it is possible to perform 10 ~ 20 times performance with 1/2 ~ 1/5 cost compared to the conventional one with low cost and high efficiency structure. And contribute to national competitiveness.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a conceptual diagram showing a structure of a job DB (International Standard Classification (ISCO-08)), a job big data analysis system, and a job search finding job creation system using a job related keyword according to a preferred embodiment of the present invention;
BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a system and method for generating a broadcasting / communication convergence job creation system using artificial intelligence.
FIG. 3 is a flowchart further illustrating a method of creating a broadcasting and communication convergence job utilizing artificial intelligence according to a preferred embodiment of the present invention;
FIG. 4 is a block diagram illustrating an outline of a broadcasting and communication convergence job creation system that utilizes artificial intelligence according to a preferred embodiment of the present invention.
5 is a schematic diagram for explaining an overall outline of a job portal.

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

(Example)
A system for creating a broadcasting and communication convergence job that utilizes artificial intelligence according to a preferred embodiment of the present invention includes input means for receiving information provided on-line, search for information provided from the input means, A big data server 60 for receiving information from the input means and the API drive 40 and for searching and analyzing job related terms; A system for creating a broadcasting and communication convergence job utilizing artificial intelligence comprising:
The input means includes a plurality of web servers 10 and an app server 12 for transmitting and receiving information through online, a broadcasting system 20 for transmitting and receiving information through wired or wireless communication, A new technology information database 30 storing new technology information, and a mobile device 50 for obtaining information through a portable device;
The API drive 40 performs a function of extracting information through search, analysis, and processing using the collected data without constructing each program separately for each of the input means;
A job creation database 70 for organizing new job information derived by utilizing the artificial intelligence in the big data server 60 to provide job information to a user online,
The job information provided from the job creation database 70 is, for example,
A means of deriving a job specific item to create and sort a 1: 1 customized job suitable for each user,
A user learning list derivation means for deriving a learning list to be learned according to a user-specific request,
And a user learning and learning means for taking and learning the user's application and deriving the history thereof.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a conceptual diagram showing a structure of a job DB (international standard job classification and each job classification), a job big data analysis system, and a job search finding job creation system through a job related keyword according to a preferred embodiment of the present invention, FIG. 2 is a block diagram illustrating a method of creating a broadcasting and communication convergence job utilizing artificial intelligence according to a preferred embodiment of the present invention. FIG. 3 is a flowchart illustrating a method of creating a broadcasting / communication convergence job using artificial intelligence according to a preferred embodiment of the present invention. This is a flowchart showing a step-by-step description of a method for creating a broadcasting and communication convergence job.
Referring to FIG. 1, a system for creating a broadcasting and communication convergence job utilizing artificial intelligence according to a preferred embodiment of the present invention and a method thereof include a system for searching a job related word included in information provided on- And searches for jobs of high interest.
Next, the big data analysis system is activated to search the retrieved contents to extract contents related to job, income, profit generation, recruitment, entrepreneurship, education, new technology, industrial paradigm, life pattern.
Then, the contents are categorized and divided, and the detailed contents are analyzed.
Next, the international standard job classification and each job classification are compared with the search and extracted contents, and a new job is created based on the newly searched contents.
Next, a new job code is generated so that the user can easily search and sort the created new job, and the job is registered and updated in the job database.
The data curator then edits and provides job details.
These procedures are not handled manually by individuals or groups, but are processed to automatically search, classify, and register using artificial intelligence.
In the following, I will explain how to utilize artificial intelligence to create and create new jobs.
The core contents of finding and creating new jobs can be classified as follows.
First, artificial intelligence can nurture many experts in the field (algorithms, deep learning and related devices such as computers, all-around IOT) and related fields, including scientists, experts, technicians, programmers and data analysts.
Here, the relevant sector is creating a job for AI's own tasks such as algorithm (Algorithm), Deep Learning (Deep Learning) and programming.
Big data-related technology, ICT, software, and venture businesses also require a lot of expertise.
For example, only high-end technicians with high salaries, such as Big Data Engineers, Space Big Data Analysts, Data Visualizers Designer, Strategic Consultants, Marketing Storytellers and related scientists, experts, technicians and data analysts, It is said that it is necessary.
Combined here with the jobs spilled on related ICT, software and venture businesses, it is difficult to count on simple calculations.
In the United States, Big Data experts say that by 2023, 1.5 million people and 45,000 people in Korea are needed, which can produce about 5 to 10% of all new jobs. Artificial intelligence and big data-related jobs are projected to increase ten times more than 10 years later.
Second, in the embodiment of the present invention, artificial intelligence is utilized to find a large number of jobs through International Standard Classification of Work (ISOC).
According to the International Standard Classification of Occupations, there are about 50,000 kinds of occupations in the world (excluding duplicates), including 14,500 in Korea, 37,500 in the United States, and 40,000 in Germany.
Here, only about 5% of the occupations actually employed by job applicants, governments and corporations.
There are about 800 jobs in Korea and about 1,900 jobs in the United States, and 95% of jobs that are not actually used in employment are put to practical use. When job hunting jobs are excavated, many (5-10%) new jobs Can be excavated.
Third, we can create many jobs by using Big Data and SNS.
Big Data is a repository of information. Every year, since the Genesis period, a lot of new information is accumulated as much as the amount of information accumulated until the previous year. If you leave it alone, it is just a dump of information garbage. Artificial intelligence can create jobs for the future by utilizing the information of jobs that are embedded in big data by utilizing the future prediction function.
Including Big Data scientists, related ICTs, software, venture and professional technicians, you can find more jobs than now (3 billion).
Fourth, 21C is moving toward diversification, diversification and customization.
20C small-scale production from mass production to 21C small-lot production.
Now, clothes, furniture, automobiles, TVs, refrigerators, and so on, are coming to be customized to fit the taste of consumers, such as design, color, style and function. With Big Data and SNS analysis, many new jobs can be found here.
Fifth, the most important feature of artificial intelligence is the ability to predict the future. The past and present life and consumption patterns have the ability to know the patterns of future consumption patterns. We confirmed the predictive ability of artificial intelligence in Alpha Go and Se Sedol 's Go combat.
Oxford University researchers predict that life patterns and consumption patterns will vary tremendously in the next 20 years.
Within the next 20 years, one out of three jobs will disappear and 65% of 7-year-olds will have a completely different type of job. Life patterns and jobs can be predicted by analyzing past and present jobs and verifying future life patterns and job patterns.
Sixth, 21C is going to globalization of globalization in global age. In the global era of borderless trade, you can shop for jobs anywhere in the world. This indicates that using artificial intelligence makes it possible to work and start a business anywhere in the world.
By using artificial intelligence like this, job barriers, language barriers disappear and jobs can be found anywhere in America, Germany, China, and Africa.
As a hobby, it is time to go to the world in search of a job as a trip, and the globalization of the job is done.
ICT, software, venture, and artificial intelligence. If you master the technology of big data, you can live in the US, get jobs in Europe and Africa, and you will be treated well. Overseas jobs in this sector can grow exponentially up to five times in five years and up to ten times in ten years.
In addition, there is a wide range of opportunities for creating and creating jobs, such as the creation of new jobs through the Internet access of illiterates who have not been able to access the Internet.
Seventh, artificial intelligence jobs can dramatically increase youth job creation. Sectors such as ICT, software, venture, digital, smart, and artificial intelligence are the gold mines of creative jobs that fit young people's constitution and preferences, and are the areas where the best new jobs are poured the most.
The field of artificial intelligence is one of the most competitive youths in Korea and holds the key to solving the youth job problem. The most serious youth job problems can be completely solved by creating artificial intelligence jobs. Artificial intelligence jobs can be created not only for young people but also for women, senior and disabled people.
In the manufacturing-oriented era, investments have resulted in jobs and the economy has grown. In this age, investing has solved growth and job problems at the same time. However, there has been an era of no-employment growth for the 21st century, and the era of the fourth industrial revolution that makes jobs disappear. The creation of artificial intelligence jobs appeared as an employment-free growth era and a job solver in the era of the fourth industrial revolution, and the inventors of the present invention refer to this as the artificial intelligence job revolution.
The Artificial Intelligence Jobs Revolution is to change the paradigm of job creation by creating a system that will first create jobs and drive investment and growth.
1 to 5 are conceptual diagrams of a system for providing a job search service according to an embodiment of the present invention.

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The system for providing job search services according to the present invention classifies job categories according to the international standard job classification into major categories, sub-categories, sub-categories, sub-categories, sub-categories and job definitions, , Private, industry, education, culture, entrepreneurship, and founding.

When defining a job, it defines job definitions by sorting out what new jobs do, how new jobs can be selected, employment and wage levels, other new job characteristics, related organizations, related industries, and related cultures.

In a system for analyzing job-related and job-related data input from the outside such as user and government employment information portal site and other employment information site, job data is generated by batching data mining using a big data package tool The job information can be transmitted and provided in real time upon receiving a request from the user terminal.

The job-related data input from the user terminal and from outside may be at least one of the form data, the semi-form data, and the atypical data.

You can do this using Hadoop's distributed file system package, a big data platform, when it comes to finding job-related data from outside.

Also, it is possible to control the international standard job classification server by using the job data extracted and the job data inputted from the user terminal.

In the job search analysis system, each loaded job data is created by performing data mining by the functions required by using the big data package tools Mahout, Ankus, WEKA and Oryx. Job information to the data curator and load it in the final job DBASE.
Next, the operation of the broadcasting and communication convergence job creation system and method using artificial intelligence according to the preferred embodiment of the present invention will be further described with reference to FIG. 2 to FIG.
FIG. 2 is a system configuration diagram for explaining a data processing structure of a broadcasting and communication convergence job creation system utilizing an artificial intelligence according to a preferred embodiment of the present invention,
FIG. 3 is a flowchart for further explaining a method for creating a broadcasting and communication convergence job utilizing artificial intelligence according to a preferred embodiment of the present invention. FIG. 4 is a flowchart illustrating a method of creating a broadcasting / communication convergence job using artificial intelligence according to a preferred embodiment of the present invention. FIG. 5 is a schematic diagram for explaining an overall outline of a job portal. FIG. 5 is a block diagram illustrating an outline of a communication convergence job creation system. FIG.
Referring to FIG. 2, a plurality of web servers are installed or utilized to collect a plurality of pieces of information including job information, and an application program interface (API) driver is used to perform job surfing, To the big data server.
In addition, data collected using a database for broadcast or new technology information is transmitted to the big data server.
Also, related job information is collected through the mobile device and transferred to the big data server.
Referring to FIG. 3, a method of creating a broadcasting and communication convergence job utilizing artificial intelligence according to a preferred embodiment of the present invention and a means thereof will be briefly described.
As shown in FIG. 3, a job specific item is derived from a job creation database (job database) 70 according to the configuration of the present invention. In this way, the user is given a unique literacy ability.
Next, a user learning list derivation means for arranging items that users need to individually learn from the job creation database (JOB DBASE) 70 is provided. Through this, it is possible to draw out and submit a list of learning that users who are interested in various fields can learn.
Next, in the embodiment of the present invention, there is provided a user learning learning means capable of selecting from the learning list related to job information desired by the user and taking and learning in stages or levels from the job creation database (JOB DBASE) 70 .

Job creation using artificial intelligence is divided into three categories: job search and creation, customized training customized and one-stop service, and management of JOB portal. The entire job creation process is managed and operated on-line in cyberspace. The job creation procedure is as follows.
First, algorithms and deep learning, which are the core technologies of artificial intelligence, utilize various advanced technologies such as Big Data International Standard Classification (ISOC), IoT, Smart, ICT, and software to discover and create a lot of jobs.
· Artificial intelligence, in particular, has a future function. Past Consumption Patterns You can predict future patterns of consumer life by looking at life patterns. Be able to create jobs in the future with past and present job patterns. That's what Algaba's Baduk is.
Artificial intelligence and related advanced technologies make many existing jobs disappear in the industrial revolution. But if you use it in the job revolution, you can create more jobs than jobs that disappear. Job discovery can create a good job in a completely different way than current AI jobs, ISOC jobs, big data jobs, personalized jobs, future jobs, global jobs, and youth jobs.
Second, the next step in finding and creating jobs, that is, the emergence of new jobs, should have the job skills to perform them. Algorithms and Deep Learning can find jobs that match their abilities and aptitudes through one-to-one customized training, tailored job creation programs.
· Deep Learning is a one-stop service in the cyber space, which is the core process of customized education employment - including job promotion, recruiting, personality aptitude test, consulting, mentoring, customized training, customized job creation, job intermediaries and post management. .
Third, referring to FIG. 5, the JOB portal functions as a job creation control tower and a job creation head quota (HQ) for creating miracles, and executes and executes the entire job creation process. The JOB portal is a one-stop service where anyone can find a job or start a job by educating and training the job to find jobs, creating jobs, and finding jobs. (HQ), that is, a JOB portal. The JOB portal will serve as an all-in-one job encyclopedia and job shop. Anyone who visits the JOB Portal will be able to see, hear, speak, and experience all of the jobs and fulfill the purpose they have come to expect. The JOB portal should be designed, managed and operated as a job NAVER, or a portal for the most visitors, like job Google.
Specifically, anyone can find a job that suits his / her aptitude in the easiest way, while exploring and experiencing the job world in the most convenient way through the JOB portal linked with the embodiment of the present invention. 100% of the nation can find jobs that match their abilities and aptitudes, and they can start to work.
· To find a job that matches your mouth, you need to find the JOB Portal. When you enter the JOB portal, you will not only get job information, but also engage in all areas of politics, economy, social life, culture, arts, sports, customs and etiquette. So the job encyclopedia is called the job shop department store.

1 is a block diagram illustrating a system and method according to an embodiment of the present invention.

1. Job DB (International Standard Classification (ISCO-08)) and Job Big Data Analysis System and Job Creation Job Creation System

1) Currently, smart phone, tablet PC, artificial intelligence, IoT technology, artificial intelligence robot, various smart technology, and Internet information are becoming common and job related information is diversified and changed. Predicted job information is structured and fails to provide information.

2) Generalization of Smart Phones As mentioned in 1) above, the universalization of tablet PCs, the generalization of IoT, the development of social networks such as Facebook, Twitter, KakaoTalk, Uchitt and YouTube, and the development of VR and AR technologies, Related information data is being generated, but it is difficult for users to find classified information such as data classified by job and related learning method.
Hyundai is able to provide job creation and customized education system in preparation for the new industrial revolution era by providing all kinds of job information by using artificial intelligence even if it is flood of information.

3) Big data processing technology to provide various portal information and news via API, SNS (Facebook, KakaoTalk, YouTube, blog, etc.) data collection, Communication convergence media data collection Public institutions New technology information Job search related information such as job search (eg, job search, job search, job search, employment, start-up, education, profit generation, alba, part-time job, etc.) Jobs are extracted through detailed analysis of sentences, and the resulting job information is compared with the existing international standard job classification database, and the job is stored in the existing database text in the standard classification, and the new job is generated in the job database. And build a system that creates new jobs by updating them.

In addition, it analyzes the details of new technology information and new job information. DEEP LEARNING technique using artificial intelligence to create a new job to create a job, to build detailed information, and to update the job database (JOB DBASE) do.

The new job detail information provides information related to the standard job related to the job, the expected salary level, the number of the job done, the related qualifications, the relevant job training methods such as how to start a new job, how to get a new job,

2. Analyze big data of SNS, life portals, broadcasting and new technology to find new job through DEEP LEARNING and provide new future job creation system.

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1) According to the International Standard Classification of Occupations, approximately 50,000 occupation groups are classified.

The creation of new job discovery will be made in accordance with the international standard job classification category.

Surfing various webs and apps, and conducting job related word search. The retrieved data may be atypical or stereotyped, semi-structured data.

In the embodiment of the present invention, job related irregular data is transmitted to the big data server through web surfing and app surfing using an API (Application Program Interface) driver.

And transmits the broadcast-communication convergence media data to the big data server.

Web surfing, APIs to receive new technology information (papers, patents, contributions, etc.).

Mobile creates a data space for end-users to send information about their living jobs.

In a system for analyzing job-related and job-related data input from the outside such as user and government employment information portal site and other employment information site, job data is generated by batching data mining using a big data package tool The job information can be transmitted and provided in real time upon receiving a request from the user terminal.

The job-related data input from the user terminal and from outside may be at least one of the form data, the semi-form data, and the atypical data.

You can do this using Hadoop's distributed file system package, a big data platform, when it comes to finding job-related data from outside.

In addition, the job database server can control the job database and the job data inputted from the user terminal.

In the job search analysis system, each loaded job data is created by performing data mining by the functions required by using the big data package tools Mahout, Ankus, WEKA and Oryx. Job information to the data curator and load it in the final job DBASE.

Job information related to jobs sent to the Big Data Server is sorted through artificial intelligence techniques and big data analysis, such as job related qualifications, qualifications, skills, salaries, and job related details, And a comparison with each job classification, the data curator displays the data to the data curator when the new job is defined, and the data curator organizes the related items into the new job and the confirmed job information is updated in the job database.

Deep learning of artificial functions in new technology and various articles and culture news creates new future estimation job by techniques learned in existing job composition formation method, literary industry type, life pattern, and social paradigm.

For example, if there is a new technology information called a solar power plant, and news, a job related information searcher will have information corresponding to various related data such as solar power, power plant, material, development, technology, electronic component, solar collecting plate, Artificial intelligence is collected and self-learned.

In comparison with previous occupation groups connected with related words such as power plant, wall glass cleaning, electronic parts, materials, etc., it is necessary to clean the dust and other dirt of the solar collecting panel from time to time in order to accumulate much sunlight The conclusion can be obtained.

At this time, there may be occupational groups such as individuals cleaning the photovoltaic panel and cleaning agencies.

This is new job creation and job data. According to the present invention, a new job code is generated based on the information thus created, and the new job code is converted into a database so that a user searching for a new job can search and utilize it in real time.

For example, a methodology for cleaning solar integrated boards and various cleaning tools materials and precautions draws up safety concerns.

In the broadcast drama "CSI," there comes a scene analyzing animal carcasses.

This broadcast scene and voice metabolism are analyzed by video and audio analysis system and data is transmitted to artificial intelligence system.

Artificial intelligence system estimates animal forensic specialists like forensic experts by comparing environmental data and animal data with Big Data System data analyzing phenomenon such as size dog funeral such as social phenomenon and dog market.

In order to define the presumed task of animal forensic expert, we have to analyze the data of dog market, animal carcass, animal to be protected, etc., and specify knowledge such as veterinary medicine, zoology, forensic medicine, gene analysis and pathology, The job group of the tentative name is arranged and transmitted to the data curator.

The curator who confirms the transferred data is compared with the job database.

The data curator confirms the occupational group of the final tally confirmed tangible animal forensic expert and updates it to the occupational classification job database.

When the new job is updated, the education and training system displays the related institution, school, etc. related to the study of related literacy and related institutes in cooperation with the education and training system database.

According to the International Standard Classification of Occupations, about 40,000 occupations are classified in the United States, but about 15,000 are classified in Korea.

By analyzing and classifying the classified occupations of various countries around the world in the Big Data System,

We apply occupation group to the environment and society in Korea and classify the occupation according to industrial and social development environmental laws and regulations of our country.

The job thus classified will be a new career group in Korea and will be the motto of global career choice.

In this way, we connect educational institutions, educational institutions, training organizations, etc. that are appropriate for the occupation group and build a new education system when there is no education and training system in Korea.

Except for laboratory workshop, all are done in online cyber space.

There is a shame consultant in the US job. This occupation is called a phone-shy-person when a salesperson has to deal with a lot of people, not only when confronted with others, but also when they make phone calls, they are shy and shy. .

This job runs a shame clinic or counseling center.

According to the US Bureau of Labor Statistics, in 2006, 152,000 people were engaged in this job, with an average annual salary of $ 59,440.

The main practitioner is a person who majored in psychology in college and had a lot of counseling experience.

Children who are shy are encouraged by parents and family to participate in the program to help them recover their confidence.

The Big Data System exposes the data curators to job definitions, related training and training, start-up methods, recruiting companies, consultant activity salaries, etc. related to the shy consultant job group through job analysis.

The data curator confirms this information by confirming the social development laws and regulations, updates the job database with new job group, and sends the related code to the education system and the PR system.

The education system connects the university education and training institutes with related departments and shows them to the users.

In addition, the PR system promotes the broadcasting industry through mobile web apps, such as the annual salary of related industries.

Jobs newly discovered and created are stored in JOB DBASE. Web, apps, etc. are provided to provide information tailored to the Internet, telecom convergence, mobile and tablet PCs.
As described above, according to the present invention, there is provided a job offer system for a job seeker customized for a job seeker, the job offerer terminal comprising: a job seeker terminal; a personalized job seeker who is connected to the job seeker terminal via a wired or wireless network and provides job- The present invention provides a method and system for providing a job offer for a job seeker who wants to select a job without having to perform a plurality of searches in order to search for a job desired by the job seeker, And provides the effect of creating new job information that does not exist in the past.
In addition, according to the present invention, the job seeker can quickly receive his / her desired job at a low cost in the information of the job, and is provided with a tailored job suited to the job seeker's preference, thereby preventing opportunity loss, And can contribute to diversification and realization.
In addition, according to the present invention, a job provided by a plurality of pieces of job information can be provided in a catalog form in accordance with a job seeker's request, and a new chapter of a job catalog service can be opened.
Further, according to the present invention, it is possible to contribute to the market activation of the job agent technology field, which collects and filters customized jobs according to job demands of job seekers.
The present invention relates to a method of providing a 1: 1 customized job and a system for creating a job search, wherein the job seeker can select a desired job or raise his / Means a job that provides, filters, and provides a job corresponding to job seekers to the job seeker. The types of jobs that can be customized include all computer-enabled jobs such as artificial intelligence jobs, IOT jobs, and predicted jobs that are used in computer-based jobs.
The system of the present invention provides a system for building an existing job information DB, a system for building a new job information DB, a system for receiving a job, a system for filtering a job, a job for customized job, education, mentoring, recruiting and post management And further configures a job portal system.
The functions and processing of each system and components will be described in detail below.
Here, "job information" means job content information for a job seeker to obtain a desired job. This is necessary for jobseekers to acquire job-related information in order to be provided with the desired job.
Therefore, in the present invention, a process of creating a database of job information and finding and creating a new job is preceded.
In the present invention, metadata for data or attribute information for data is used to establish a job information DB.
In the system configuration, new jobs and existing job metadata are displayed to job seekers by expressing information on jobs to be obtained by jobseekers with metadata elements.
Therefore, the job seeker can select a metadata element provided to his or her terminal or create an item to acquire job information.
Each element of the metadata is provided in an easy-to-understand form, that is, in the form of a table or a list.
The desired value is written to each element of the metadata on the job seeker terminal or is selected according to the menu selection method, and then transmitted to the customized job providing server.
The job information DB server configures the DB search, search, matching, personality check, and professor information by the element and the value that the job applicant writes or selects in the metadata.
In the embodiment of the present invention, the job DB for each job seeker is a DB for storing and managing data covering jobs and job conditions to be provided for each job seeker who has requested a job.
It shows an example of building one-to-one customized information DB for jobs. The job seeker starts the step of accessing the job offerer customized job providing server by using the job applicant terminal.
For example, the job seeker may disclose a job request information registration request by pressing a personalized job information registration icon on a web page (job portal) provided by a personalized job providing server.
The job request metadata informs the job seeker of the job request information and an icon for requesting job information of a plurality of areas to the job seeker. In the present invention, the area of the job request information includes interest area information, local information, personal information, education, career, qualification, and the like.
These information areas are each processed on a job seeker terminal as a separate icon.
For example, the job seeker can select a desired icon among icons of interest area information, local information, personal information, education, career, qualification and the like. As another example, if it is necessary to provide information for all the information of all areas, the information providing procedures of the respective areas can be performed in turn.
When the job seeker completes the information providing process for any or all of the information in each area, the job seeker goes through the job request information process such as job information, education and training information, and mentoring information after providing information in each area. Thus, the job information providing procedure of the job seeker is performed.
After that, ask whether job applicants are allowed to disclose personal information. In the case of public permission, the information created or selected by the job seeker is transmitted to the job offer server provided by the job seeker.
And a job offer server for a job seeker builds a personal information DB. If the job applicant does not give the information providing and disclosing permission in the above step, it is determined that the job offer applicant does not provide the job offer customized job offer, and the process is terminated.

By using AI, Big Data Analysis, and ISOC to predict jobs, solve youth jobs through creating global jobs, and change economic patterns such as life patterns and consumption patterns in each sector. By providing various customized jobs through diverse and varied social phenomena, Can achieve a jobless revolution.
While the present invention has been described with reference to the exemplary embodiments, it will be understood by those skilled in the art that various changes, modifications, and additions may be made without departing from the scope of the present invention.

10, 12: Web server, App server 20: Broadcast system
30: New technology information database
40: API Drive
50: Mobile
60: Big Data Server
70: Job creation database

Claims (4)

delete delete delete An API drive (Application Program Interface Driver) 40 for searching for information provided from the input means and extracting job information by analyzing the information provided from the input means, And a big data server (60) for receiving information from the API drive (40) and searching for and analyzing job related terms, and a system for creating a broadcasting and communication convergence job utilizing artificial intelligence,
The input means includes a plurality of web servers 10 and an app server 12 for transmitting and receiving information through online, a broadcasting system 20 for transmitting and receiving information through wired or wireless communication, A new technology information database 30 storing new technology information, and a mobile device 50 for obtaining information through a portable device;
The API drive 40 performs a function of extracting information through search, analysis, and processing using the collected data without constructing each program separately for each of the input means;
A job creation database 70 for organizing new job information derived by utilizing the artificial intelligence in the big data server 60 to provide job information to a user online,
The job information provided from the job creation database 70 is, for example,
A means of deriving a job specific item to create and sort a 1: 1 customized job suitable for each user,
A user learning list derivation means for deriving a learning list to be learned according to a user-specific request,
And a user learning learning means for taking and learning according to the application of the user and deriving the history of the user. The system for creating a broadcasting and communication convergence utilizing artificial intelligence.

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