KR102584124B1 - Job seeker propensity analysis server using chatbot - Google Patents

Abstract

The job seeker propensity analysis server according to an embodiment of the present invention includes a communication unit for receiving job seeker information and job seeker information from a user device; a storage unit for storing job seeker information and job seeker information input through the communication unit and for storing information on chatbots with different tendencies; and a control unit configured to analyze the job seeker's propensity using the chatbot information stored in the storage unit and calculate a job matching result using the propensity analysis result. The control unit may analyze the job seeker's tendencies by analyzing the content and process of the job seeker chatting with chatbots of different tendencies using the user device.

Description

Job seeker propensity analysis server using chatbot}

The present invention relates to a job seeker propensity analysis system, and more specifically, to a job seeker propensity analysis server using a chatbot.

Recently, with the development and spread of smart devices, many users are getting jobs or seeking manpower through job placement sites. The job placement service provides an environment where job seekers and job seekers can check each other's information.

Republic of Korea Patent Publication No. 10-2013-0089960 describes providing a service that accurately matches desired manpower and jobs between job seekers and job seekers.

However, most conventional job placement services are limited to introducing jobs in various occupations to job seekers. Conventional job placement services have the problem of not matching recruiters and job seekers according to the job aptitude or inclination of the job seeker.

Republic of Korea Patent Publication No. 10-2013-0089960

The present invention is intended to solve the above-mentioned problems, and the purpose of the present invention is to provide a job seeker tendency analysis server that can easily determine the job seeker's tendency through a chatbot.

The job seeker propensity analysis server according to an embodiment of the present invention includes a communication unit for receiving job seeker information and job seeker information from a user device; a storage unit for storing job seeker information and job seeker information input through the communication unit and for storing information on chatbots with different tendencies; and a control unit configured to analyze the job seeker's propensity using the chatbot information stored in the storage unit and calculate a job matching result using the propensity analysis result. The control unit may analyze the job seeker's tendencies by analyzing the content and process of the job seeker chatting with chatbots of different tendencies using the user device.
Another embodiment of the present invention is
A communication department for receiving job seeker information and job seeker information from the user device;
a storage unit for storing job seeker information and job seeker information input through the communication unit and storing information on a plurality of chatbots with different tendencies;
a control unit configured to analyze a job seeker's propensity using the plurality of chatbot information stored in the storage unit and calculate a job search matching result using the propensity analysis result;
a chatbot management unit capable of adding new information or changing existing information for each of the plurality of chatbot information;
a propensity analysis management unit that analyzes the propensity of the job seeker or job seeker by analyzing which chatbot among the plurality of chatbots is activated based on job seeker information and job seeker information provided through the communication unit;
A job search matching management unit that recommends companies that match the job seeker's tendencies or recommends job seekers that match the job seeker's tendencies based on the results of the propensity analysis using a plurality of the chatbots;
The control unit analyzes the job seeker's tendency by analyzing chat content and processes between the job seeker and the plurality of chatbots, and the job seeker uses the user device to select one of the plurality of chatbots with different tendencies. When chatting continuously for more than a certain period of time, a job seeker tendency analysis server is provided that determines that the person's tendency matches that of any one of the chatbots.

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The job seeker propensity analysis server according to an embodiment of the present invention can use a chatbot to analyze the job seeker's inherent propensity and recommend a company that matches the job seeker's propensity. According to the present invention, the propensity of a job seeker can be easily analyzed without the need for a separate propensity test to analyze the propensity of the job seeker. Additionally, by providing the job seeker with the job seeker's personality, it is possible to find a job seeker who matches the company's personality.

1 is a configuration diagram illustrating a job seeker propensity analysis system according to an embodiment of the present invention.
FIG. 2 is a block diagram illustrating the job seeker propensity analysis system shown in FIG. 1 by way of example.
FIG. 3 is a block diagram illustrating the job seeker propensity analysis server shown in FIG. 2.
4 to 7 are diagrams and flowcharts exemplarily showing the operation method of the job seeker propensity analysis server 1300.

Hereinafter, embodiments of the present invention will be described clearly and in detail so that those skilled in the art can easily practice the present invention.

1 is a configuration diagram illustrating a job seeker propensity analysis system according to an embodiment of the present invention. Referring to FIG. 1, the job seeker propensity analysis system 1000 may include first and second user devices 1100 and 1200 and a job seeker propensity analysis server 1300.

A user may access the job seeker propensity analysis server 1300 using the first and second user devices 1100 and 1200. Here, the user of the first user device 1100 may be a job seeker (individual), and the user of the second user device 1200 may be a job seeker (company). The first and second user devices 1100 and 1200 and the job seeker propensity analysis server 1300 may communicate by wire or wirelessly. A job seeker or job seeker can obtain job search matching results provided by the operator of the job seeker propensity analysis server 1300 by accessing the job seeker propensity analysis server 1300 using the first or second user device 1100 or 1200. .

FIG. 2 is a block diagram illustrating the job seeker propensity analysis system shown in FIG. 1 by way of example. Referring to FIG. 2, the job seeker propensity analysis system 1000 allows a job seeker (individual) to access the job seeker propensity analysis server 1300 using the first user device 1100, and uses the second user device 1200 to A job seeker (company) can access the job seeker propensity analysis server 1300. Here, the first user device 1100 may be a terminal used by each individual, and the second user device 1200 may be a terminal used by each company.

The first and second user devices 1100 and 1200 may transmit data for job matching to the job seeker propensity analysis server 1300 or receive data from the job seeker propensity analysis server 1300. The first and second user devices 1100 and 1200 receive information input by job seekers (individuals) or job seekers (companies) through a job search matching program, and provide job search matching results that the job seeker or job seeker needs. You can.

The job seeker (A) may provide personal information to the job seeker propensity analysis server 1300 using the first user device 1100. For example, job seekers may provide personal information about age, education, major, qualifications, experience, interests, etc. A job seeker (Company A) may provide company information to the job seeker propensity analysis server 1300 using the second user device 1200. For example, recruiters can provide company information about the region, company size, etc. For example, company a may be a small or medium-sized company located in Wonju, Gangwon-do, company b may be a small or medium-sized company located in Seoul, and company c may be a mid-sized company located in Busan.

Continuing to refer to FIG. 2 , the job seeker propensity analysis server 1300 may include a communication unit 1310, a storage unit 1320, and a control unit 1330. The job seeker propensity analysis server 1300 stores data input from the first and second user devices 1100 and 1200, calculates job search matching results desired by the user from the stored data, and sends the calculated data to the first and second user devices 1100 and 1200. 2 Can be transmitted to user devices (1100, 1200).

The communication unit 1310 may receive job seeker information, job seeker information, etc. from the first and second user devices 1100 and 1200. For this purpose, the communication unit 1310 may use a long-distance network, such as a 3G module, LTE module, LTE-A module, Wi-Fi module, WiGig module, UWB (Ultra Wide Band) module, or LAN card. May contain interfaces. In addition, the communication unit 1310 includes a short-distance network interface such as a Magnetic Secure Transmission (MST) module, Bluetooth module, NFC module, RFID module, ZigBee module, Z-Wave module, or infrared module. can do.

The communication unit 1310 may receive member information, that is, job seeker personal information or job seeker company information, from the first and second user devices 1100 and 1200. The communication unit 1310 can approve or block membership registration according to the control of the control unit 1330. Additionally, the communication unit 1310 may approve, block, or restrict the use of the job matching service according to member information when logging in. The communication unit 1310 may provide member information to the storage unit 1320.

The storage unit 1320 may store job seeker information and job seeker information necessary for analyzing job seeker tendencies. Job seeker information may include basic information such as personal member ID, password, name, phone number, gender, etc. Recruitment information may include company information about each company's region, size, or job environment.

The control unit 1330 may control each component included in the job seeker propensity analysis server 1300 and the operation of the job seeker propensity analysis server 1300. The control unit 1330 can provide various matching services related to job openings to individuals or companies. The control unit 1330 may perform job search matching and job recommendation services for users of the job seeker propensity analysis server 1300 using the job seeker information and job offerer information received from the first and second user devices 1100 and 1200. .

Additionally, the control unit 1330 can perform operations to manage and update job seeker information and job offer information. To this end, the control unit 1330 may include a central processing unit (CPU), a graphics processing unit (GPU), a micro controller unit (MCU), or a microprocessor. You can.

FIG. 3 is a block diagram illustrating the job seeker propensity analysis server shown in FIG. 2. The job seeker propensity analysis server 1300 can examine the job seeker's propensity through propensity matching with a chatbot. The job seeker propensity analysis server 1300 can easily identify the job seeker's inherent propensity without a separate propensity test for the job seeker. The job seeker propensity analysis server 1300 can analyze the propensity of each job seeker using a chatbot and match job seekers and job seekers through the analysis results.

Referring to FIG. 3, the job seeker propensity analysis server 1300 includes a communication unit 1310, a storage unit 1320, and a control unit 1330. The communication unit 1310, storage unit 1320, and control unit 1330 may be connected to each other through a system bus 1340.

The communication unit 1310 includes an input unit 1311 and an output unit 1312. The input unit 1311 may receive job seeker information from the first user device 1100 and may receive job seeker information from the second user device 1200. The output unit 1312 may provide job seeker propensity test results or job search matching results using a chatbot to the first and second user devices 1100 and 1200.

The storage unit 1320 may include a user information DB 1321 and a chatbot information DB 1322. The user information DB 1321 may store personal information for each job seeker A to C of FIG. 2 . The job seeker's personal information may include the job aptitude, competency, inclination, growth desire, values, and major satisfaction extracted based on the resume, self-introduction, or career description provided by the job seeker. Additionally, the user information file 1321 may store company information for companies a to c in FIG. 2 . Company information may store each company's region, size, working conditions, etc.

The chatbot information DB 1322 may store chatbot information for analyzing job seekers' tendencies. For example, chatbot a may use a friendly tone, chatbot b may use a monotonous tone, and chatbot c may use a humorous tone. The chatbot information DB 1322 may store various disposition information showing the chatbot's disposition, such as tone of voice, method of providing information, and whether or not it is encouraged.

The control unit 1330 can analyze job seekers' tendencies using user information and chatbot information and calculate job search matching results. For this purpose, the control unit 1330 includes a processing unit 1331, a chatbot management unit 1332, a propensity analysis management unit 1333, and a job search matching management unit 1334.

The processing unit 1331 may control the overall operation of the job seeker propensity analysis server 1300. For example, the processing unit 1331 accesses the user information DB 1321 or the chatbot information DB 1322 of the storage unit 1320 and processes an algorithm or program that constitutes the job search matching management unit 1333. By executing the command, the control unit 1330 can be driven.

The processing unit 1331 may include a controller, an interface, a graphic engine, etc. that control various components of the job seeker propensity analysis server 1300. The processing unit 1331 may be implemented in the form of a system-on-chip (SoC), application specific integrated circuit (ASIC), or field programmable gate array (FPGA).

In addition, the processing unit 1331 provides or installs a program (hereinafter referred to as a job search matching program) for using the job seeker propensity analysis system 1000 in real time on the first and second user devices 1100 and 1200. You can apply. The processing unit 1331 may allow a user who has installed a job search matching program to use job offer information or job search information.

The chatbot management unit 1332 can access the chatbot information DB 1322 to add a chatbot with a new personality or upgrade or change the personality of an existing chatbot. For example, the chatbot management unit 1332 may add a frequent encouragement tendency to the friendly speaking tone of chatbot a. Additionally, the tendency to provide only necessary information can be added to bChatbot's monotonous speaking style.

The propensity analysis management unit 1333 can analyze the job seeker's propensity using a chatbot. For example, the propensity analysis management unit 1333 may detect if job seeker A uses chatbot a and then changes to another b chatbot or c chatbot, then changes back to a chatbot, and continues to use a chatbot for more than a certain period of time. , it can be analyzed that the tendency matches well with a chatbot. Additionally, the propensity analysis management unit 1333 can analyze that if job seeker B uses only c chatbot for a long time, his or her propensity matches well with c chatbot.

The job search matching management unit 1334 may recommend companies that match the tendencies of job seekers based on the results of tendency analysis using a chatbot, or recommend job seekers to companies. The job search matching management unit 1334 can more easily perform job search matching using the chatbot's tendency analysis results.

4 to 7 are diagrams and flowcharts exemplarily showing the operation method of the job seeker propensity analysis server 1300. Referring to FIG. 4, job seekers A to C of FIG. 2 can chat with chatbots a to c using the first user device 1100. Job seekers can select and chat with chatbots a to c with different personalities.

For example, chatbot a may have a tendency to provide frequent encouragement in a friendly tone, chatbot b may have a tendency to provide only necessary information in a monotonous tone, and chatbot c may have a tendency to arouse interest in a humorous tone. The tendencies of each chatbot shown in Figure 4 are just one example, and the tendencies of chatbots can be classified in more diverse and detailed ways.

Job seeker A can chat with chatbot a and then change to chatbot b. Additionally, job seeker A can change to c chatbot while chatting with b chatbot. The job seeker tendency analysis server 1300 can analyze the tendency inherent in job seeker A by analyzing the time and content of chatting with each chatbot.

Referring to the example of Figure 5, job seeker A selects chatbot a (S110). Job seeker A chats with chatbot a for some time and then switches to chatbot b (S120). Job seeker A chats with chatbot b for some time and then switches to chatbot c (S130). Job seeker A chats with chatbot c for some time and then changes back to chatbot a (S140). Job seeker A continues chatting with chatbot a for more than a certain period of time (S150). The job seeker's tendency analysis server 1300 analyzes job seeker A's tendency through the chatbot usage details (S160).

In the example of FIG. 5, the job seeker propensity analysis server 1300 may determine that job seeker A has a good match with chatbot a. The job seeker's tendency analysis server 1300 can analyze job seeker A's tendency to want to talk in a friendly tone and like to receive small encouragement. Additionally, the job seeker tendency analysis server 1300 can analyze that job seeker A himself has a tendency to speak kindly and provide frequent encouragement.

Referring to the example of FIG. 6, job seeker B selects bChatbot (S210). Job seeker B continues to chat with b chatbot for a certain period of time or more (S220). The job seeker tendency analysis server 1300 analyzes job seeker B's tendency through the contents of job seeker B's use of the chatbot (S230). In this example, the job seeker propensity analysis server 1300 may determine that job seeker B has a good match with b chatbot. In other words, job seeker B's tendency can be analyzed to show that he likes to clearly present necessary information in a monotonous tone of voice. Additionally, the job seeker tendency analysis server 1300 may analyze that job seeker B himself has a monotonous speaking style and a tendency to provide only necessary information.

Referring to the example of FIG. 7, job seeker C selects chatbot a (S310). Job seeker C chats with chatbot a for some time and then switches to chatbot c (S320). Job seeker C chats with chatbot c for some time and then changes back to chatbot a (S330). Job seeker C chats with chatbot a for some time, then switches back to chatbot c (S340). Job seeker C continues to change chatbot a and chatbot c for more than a certain period of time (S350). The job seeker tendency analysis server 1300 analyzes job seeker C's tendency through the chatbot usage details (S360).

In the example of FIG. 7, the job seeker propensity analysis server 1300 may determine that job seeker C has a good match with chatbot a and chatbot c. The job seeker's tendency analysis server 1300 can analyze job seeker C's tendency to want to talk in a friendly and humorous tone and likes small encouragement and arousal of interest.

The job seeker propensity analysis server 1300 according to an embodiment of the present invention can use a chatbot to analyze the job seeker's inherent propensity and recommend a company that matches the job seeker's propensity. According to the present invention, the propensity of a job seeker can be easily analyzed without the need for a separate propensity test to analyze the propensity of the job seeker. Additionally, by providing the job seeker with the job seeker's personality, it is possible to find a job seeker who matches the company's personality.

The above-described details are specific embodiments for carrying out the present invention. In addition to the above-described embodiments, the present invention will also include embodiments that can be simply changed or easily changed in design. In addition, the present invention will also include technologies that can be easily modified and implemented using the embodiments. Therefore, the scope of the present invention should not be limited to the above-described embodiments, but should be determined by the claims and equivalents of the present invention as well as the claims described later.

1000: Job seeker tendency analysis system
1100: First user device
1200: Second user device
1300: Job seeker tendency analysis server
1310: Ministry of Communications
1320: storage unit
1330: Control unit

Claims (3)

A communication department for receiving job seeker information and job seeker information from the user device;
a storage unit for storing job seeker information and job seeker information input through the communication unit and storing information on a plurality of chatbots with different tendencies;
a control unit configured to analyze a job seeker's propensity using the plurality of chatbot information stored in the storage unit and calculate a job search matching result using the propensity analysis result;
a chatbot management unit capable of adding new information or changing existing information for each of the plurality of chatbot information;
a propensity analysis management unit that analyzes the propensity of the job seeker or job seeker by analyzing which chatbot among the plurality of chatbots is activated based on job seeker information and job seeker information provided through the communication unit;
A job search matching management unit that recommends companies that match the job seeker's tendencies or recommends job seekers that match the job seeker's tendencies based on the results of the propensity analysis using a plurality of the chatbots;
The control unit analyzes the job seeker's tendency by analyzing chat content and processes between the job seeker and the plurality of chatbots, and the job seeker uses the user device to select one of the plurality of chatbots with different tendencies. A job seeker propensity analysis server that determines that a chatbot's propensity matches that of any one of the chatbots if the chatbot continues to chat for more than a certain period of time.
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