KR20210012197A - Apparatus and method for analyziing an information - Google Patents

Abstract

The present invention relates to an apparatus for analyzing information and a method for analyzing information, which reduce resources and costs. According to one embodiment of the present invention, the apparatus for analyzing information comprises: a receiving unit to receive hiring information from a terminal of a first user who is a manager of a company intending to hire a person accessing an information analysis site or an information analysis application, and receive job-seeking information corresponding to the hiring information from a terminal of a second user who is a job seeker accessing the information analysis site or the information analysis application; an analysis unit to apply a text mining technique to the hiring information and the job-seeking information received by the receiving unit to perform first analysis on right people to be hired by the company, and perform second analysis on feature information included in the job-seeking information; a generation unit to add a preset score to a result of the first analysis and a matching result of the second analysis to generate a first evaluation index to be quantitatively evaluated, and compare the result of the first analysis and the matching result of the second analysis with a quantitative average of other second users to generate a second evaluation index including one or more second evaluation items to quantitatively evaluate feature information of a quantitative average or higher which only a corresponding second user has; and a providing unit to align the first evaluation index with a portion of the job-seeking information for the second user in descending order, and provide the terminal of the first user with evaluation information in which the second evaluation index including the one or more second evaluation items is aligned together near the first evaluation index.

Description

Information analysis apparatus and method {APPARATUS AND METHOD FOR ANALYZIING AN INFORMATION}

The present invention relates to an information analysis device and an information analysis method.

It is a very difficult process for a job seeker who wants to be hired to meet a job seeker who wants to find a job, secure candidates, and use the candidate's history information and various meta information to select suitable talents. To make this job easier, the process of posting job postings through a job site and reviewing the resumes of candidates recruited through job postings is a common aspect of online hiring.

However, the criteria for selecting suitable candidates in the recruitment process that the job seeker intends to proceed with are required, and it is very difficult to objectively establish and apply these criteria. In addition, as the number of candidates increases during the hiring process, the more resources required to review resumes and select suitable candidates. For recruiters, all of these resources are costly and cause less efficiency.

Lastly, in the existing hiring process, recruiting companies should proceed with hiring only with the limited information of job seekers described in the resume, and a large amount of cost should be invested to secure other information. In general, it is common to conduct an interview screening or to separately request a personality test for the candidate.

The above-described background technology is technical information possessed by the inventors for derivation of the present invention or acquired during the derivation process of the present invention, and is not necessarily known to be publicly known prior to filing the present invention.

Korean Patent Publication No. 2014-0100644

The present invention was conceived to solve the above-described problems and/or limitations, and an object of the present invention according to an aspect is to analyze and provide the degree of suitability for recruitment of candidates in providing candidates to recruitment companies that want to be hired. Companies are trying to save resources and costs in the process of selecting candidates based on this analysis information.

An information analysis device according to an embodiment of the present invention receives job offer information from a terminal of a first user who is an administrator of a company who wants to hire a person who has accessed an information analysis application or an information analysis site, and receives the information analysis application or the information analysis application. A receiver for receiving job search information corresponding to the job search information from a terminal of a second user who is a job seeker who has accessed the information analysis site; By applying text mining technology to each of the job search information and the job search information received by the receiving unit, a first analysis is performed on the talent image that the company intends to employ, and a second analysis on the characteristic information included in the job search information An analysis unit that performs; The result of the second analysis matching the result of the first analysis to generate a first evaluation index that can be quantitatively evaluated by adding a preset score to the result of the second analysis matching the result of the first analysis Generating unit for generating a second evaluation index including one or more second evaluation items capable of qualitatively evaluating characteristic information above the static average possessed by only the second user by comparing with the quantitative average of other second users ; And an evaluation in which the first evaluation index is sorted in descending order along with some job search information for the second user, and a second evaluation index including the one or more second evaluation items in the vicinity of the first evaluation index is arranged together. It may include a; providing unit for providing information to the terminal of the first user.

In response to the selection and reception of one of the second evaluation items by the first user among the one or more second evaluation items, the providing unit may include the second user included in the second evaluation items while maintaining the evaluation information. Qualitative characteristics of can be provided by popping up a sentence.

The analysis unit includes previous job search history information received from the terminal of the first user stored in the database, job search information for a person employed in correspondence with the previous job search history information, and the text mining By applying machine learning to words extracted by applying technology, a first analysis may be performed on the image of human resources the company intends to employ.

The analysis unit, with respect to previous job search history information received from the terminal of the second user stored in the database, behavior information of the second user accessing the information analysis application or the information analysis site, and the job search information, Machine learning may be applied to words extracted by applying the text mining technology to perform a second analysis on the characteristic information of the second user.

In response to the evaluation information, the providing unit may provide information on a talent recruitment pass to a terminal of a second user corresponding to information on selecting a talent received from the terminal of the first user.

The device, with respect to the result of the first analysis, the result of the second analysis, the first evaluation index, the second evaluation index, the evaluation information, and the personnel employment pass information, the company and It may further include a learning unit that learns for each of the second users, generates a learning result as history information, and stores it in a database.

In addition to this, another method for implementing the present invention, another system, and a computer program for executing the method may be further provided.

Other aspects, features, and advantages other than those described above will become apparent from the following drawings, claims, and detailed description of the invention.

According to the embodiments, in providing candidates to recruitment companies that want to be hired, the job suitability for candidates is analyzed and provided, and the recruitment companies can save resources and costs in the process of selecting candidates based on this analysis information. have.

The effects of the present invention are not limited to those mentioned above, and other effects that are not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a diagram schematically illustrating an information analysis system according to an embodiment of the present invention.
FIG. 2 is a diagram schematically illustrating a detailed configuration of an information analysis device in the information analysis system of FIG. 1.
3 is a diagram schematically illustrating a detailed configuration of an information analysis management unit of the information analysis device of FIG. 2.
4 and 5 are diagrams schematically illustrating evaluation information provided by an information analysis device to a first user terminal.
6 is a diagram schematically illustrating a detailed configuration of a first user terminal or a second user terminal in the information analysis system of FIG. 1.
7 is a flowchart illustrating a personal activity management method according to an embodiment of the present invention.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to embodiments described in detail together with the accompanying drawings. However, it should be understood that the present invention is not limited to the embodiments presented below, but may be implemented in a variety of different forms, and includes all transformations, equivalents, or substitutes included in the spirit and scope of the present invention. . The embodiments presented below are provided to complete the disclosure of the present invention, and to fully inform a person of ordinary skill in the art to which the present invention belongs. In describing the present invention, when it is determined that a detailed description of a related known technology may obscure the subject matter of the present invention, a detailed description thereof will be omitted.

The terms used in the present application are used only to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In the present application, terms such as "comprise" or "have" are intended to designate the presence of features, numbers, steps, actions, components, parts, or combinations thereof described in the specification, but one or more other features. It is to be understood that the presence or addition of elements or numbers, steps, actions, components, parts, or combinations thereof, does not preclude in advance. Terms such as first and second may be used to describe various elements, but the elements should not be limited by the terms. These terms are used only for the purpose of distinguishing one component from another component.

Throughout the specification, the term "enterprise" may include an organized economic unit that creates goods and services for a certain purpose, and a person who runs an enterprise, that is, an entrepreneur, raises capital and combines elements of production to create new added value. Eggplants can produce goods and services. Enterprises can be broadly divided into private enterprises operated by individuals for the purpose of profit, and public enterprises operated by the state or public organizations for public purposes. In the case of Korea, it can be classified into individual merchants, associations under the civil law and special associations under the commercial law, merged companies, joint ventures, and stock companies. In this embodiment, a company may include a company that wants to hire a person, that is, a job offer company.

Throughout the specification, the term "first user" may include a manager (for example, a manager in charge of human resources) of a recruiting company that wants to hire human resources. The first user connects to an information analysis application or an information analysis site through a first user terminal (100 in FIG. 1), uploads job offer information (eg, recruitment information, job posting, etc.), and uploads the information analysis device (Fig. Can receive evaluation information provided by 100) of 1).

Throughout the specification, the term "second user" may include an applicant who wants to find a job. The second user connects to an information analysis application or information analysis site through a second user terminal (200 in FIG. 1), uploads job search information, and receives talent recruitment pass information provided by the information analysis device (100 in FIG. 1). can do. In this embodiment, the job search information may include image information (for example, an ID photo) of the second user. In addition, the job search information may include information on a resume written to show the applicant's contact information and place of residence, personal information, academic background, career information, qualifications, education, other foreign languages, computer abilities, etc. . In the case of men, medical history information may be entered. Resume can be written relatively honestly and sincerely, as it becomes the data that the person in charge of the company can judge the competencies, abilities, attitudes, etc. In addition, the job search information may include information on a self-introduction letter written to provide detailed information such as his/her interests to others by listing his/her growth environment or strengths for the purpose of introducing the person. Such self-introduction information may be prepared and submitted when joining a specific organization, finding a job, or selecting new students. Further, the job search information is information on certificates to prove personal information, academic background, career information, qualifications, education, other foreign languages, computer use ability, etc. (e.g. resident registration certificate, family relation certificate, graduation certificate, Transcripts, foreign language certificates, qualifications, certificates, etc.) can be included.

In addition, the term "a first user terminal (100 in FIG. 1) and a second user terminal (200 in FIG. 1)" throughout the specification refers to a desktop computer operated by a first user and a second user (101, 201 in FIG. 1). , Smart phone (102,202 in FIG. 1), notebook (103,203 in FIG. 1), tablet PC, smart TV, mobile phone, personal digital assistant (PDA), laptop, media player, micro server, global positioning system (GPS) device, electronics It may be a book terminal, a digital broadcasting terminal, a navigation device, a kiosk, an MP3 player, a digital camera, a home appliance, and other mobile or non-mobile computing devices, but is not limited thereto. In addition, the first user terminal 100 and the second user terminal 200 may be wearable terminals such as watches, glasses, hair bands, and rings that have communication functions and data processing functions. The first user terminal 100 and the second user terminal 200 are not limited to the above-described contents, and a terminal capable of web browsing may be borrowed without limitation.

Hereinafter, embodiments according to the present invention will be described in detail with reference to the accompanying drawings, and in the description with reference to the accompanying drawings, identical or corresponding components are assigned the same reference numbers, and redundant descriptions thereof are omitted. I will do it.

1 is a diagram schematically illustrating an information analysis system according to an embodiment of the present invention. Referring to FIG. 1, the information analysis system 1 may include a first user terminal 100, a second user terminal 200, an information analysis device 300, and a communication network 400.

The first user terminal 100 may access an information analysis application or an information analysis site provided by the information analysis apparatus 300 through the communication network 400, and may transmit job offer information to the information analysis apparatus 300.

The first user terminal 100 receives evaluation information including a first evaluation index and a second evaluation index for each of the second users generated by the information analysis device 300 analysis, and is employed by the company within the evaluation information. A second user to be performed may be selected and transmitted to the information analysis device 300.

The second user terminal 200 may access an information analysis application or an information analysis site provided by the information analysis apparatus 300 through the communication network 400, and may transmit job search information to the information analysis apparatus 300. The second user terminal 200 may receive information about a person's employment pass provided by the information analysis device 300.

The information analysis device 300 receives job offer information from the first user terminal 100 provided by the manager of a company who wants to hire a person who has accessed an information analysis application or an information analysis site, and sends the information analysis application or information analysis site. Job search information corresponding to the job search information may be received from the second user terminal 200 provided by the connected job seeker.

The information analysis apparatus 300 may perform a first analysis on the image of human resources that the company intends to employ by applying text mining technology to the job offer information received from the first user terminal 100. The information analysis apparatus 300 may perform a second analysis on characteristic information included in the job search information by applying text mining technology to job search information received from the second user terminal 200.

The information analysis apparatus 300 may generate a first evaluation index capable of quantitatively evaluating by adding a preset score to the result of the second analysis matching the result of the first analysis. The information analysis device 300 compares the result of the second analysis matching the result of the first analysis with the quantitative average of other second users, and qualitatively evaluates the characteristic information above the regular average of the second user only. It is possible to generate a second evaluation index including one or more second evaluation items.

The information analysis device 300 sorts the first evaluation index in descending order along with some job search information for the second user, and arranges the second evaluation index including one or more second evaluation items in the vicinity of the first evaluation index together. Evaluation information may be provided to the first user terminal 100. In response to the selection of a second evaluation item by a first user among one or more of the second evaluation items, the information analysis device 300 provides a second user included in the second evaluation item while maintaining the evaluation information. The qualitative characteristics of a person can be provided by popping up a sentence.

The information analysis device 300 may provide information on a talent recruitment pass to the second user terminal 200 corresponding to the talent selection information received from the first user terminal 100 in response to the evaluation information.

In the conventional case, when a company providing job search information receives job search information from a second user, it takes a lot of time and resources because it has to check all job search information for the second user. However, in this embodiment, evaluation information on the analysis result corresponding to job search information for all second users is provided on one screen, so that the first user can quickly and accurately analyze the analysis results for each second user on one screen (evaluation information). By checking, you can save time and resources in hiring talent.

The communication network 400 serves to connect the information analysis device 300 and the first user terminal 100 and/or the second user terminal 200. That is, the communication network 400 refers to a communication network providing a connection path so that the first user terminal 100 and/or the second user terminal 200 can transmit and receive predetermined information after accessing the information analysis device 300 can do. The communication network 400 is, for example, a wired network such as LANs (Local Area Networks), WANs (Wide Area Networks), MANs (Metropolitan Area Networks), ISDNs (Integrated Service Digital Networks), wireless LANs, CDMA, Bluetooth, satellite communication, etc. It may cover wireless networks of, but the scope of the present invention is not limited thereto. In addition, the communication network 400 may transmit and receive information using short-range communication and/or long-distance communication. Here, short-range communication may include Bluetooth, radio frequency identification (RFID), infrared data association (IrDA), ultra-wideband (UWB), ZigBee, and wireless fidelity (Wi-Fi) technologies, and Communication includes code division multiple access (CDMA), frequency division multiple access (FDMA), time division multiple access (TDMA), orthogonal frequency division multiple access (OFDMA), single carrier frequency division multiple access (SC-FDMA) technology. I can.

FIG. 2 is a diagram schematically illustrating a detailed configuration of an information analysis device in the information analysis system of FIG. 1. In the following description, portions that overlap with the description of FIG. 2 will be omitted.

Referring to FIG. 2, the information analysis device 300 includes a communication unit 310, a storage medium 320, a program storage unit 330, a control unit 340, a database 350, and an information analysis management unit 360. I can.

The communication unit 310 is a communication interface necessary to provide a transmission/reception signal between the information analysis device 300 and the first user terminal 100 and/or the second user terminal 200 in the form of packet data in connection with the communication network 400 Can provide. Further, the communication unit 310 may serve to receive a predetermined information request signal from the first user terminal 100 and/or the second user terminal 200, and the information processed by the information analysis device 300 It may perform a role of transmitting to the first user terminal 100 and/or the second user terminal 200. Here, the communication network is a medium that serves to connect the information analysis device 300 and the first user terminal 100 and/or the second user terminal 200, and the first user terminal 100 and/or The second user terminal 200 may include a path providing an access path to transmit and receive information after accessing the information analysis device 300. In addition, the communication unit 310 may be a device including hardware and software necessary to transmit and receive signals such as control signals or data signals through wired or wireless connection with other network devices.

The storage medium 320 performs a function of temporarily or permanently storing data processed by the controller 340. Here, the storage medium 320 may include a magnetic storage medium or a flash storage medium, but the scope of the present invention is not limited thereto. The storage medium 320 may include internal memory and/or external memory, and volatile memory such as DRAM, SRAM, or SDRAM, one time programmable ROM (OTPROM), PROM, EPROM, EEPROM, mask ROM, flash ROM , NAND flash memory, or non-volatile memory such as NOR flash memory, SSD. It may include a flash drive such as a compact flash (CF) card, an SD card, a Micro-SD card, a Mini-SD card, an Xd card, or a memory stick, or a storage device such as an HDD.

The program storage unit 330 first analyzes the job of receiving job offer information from the first user terminal 100, the job of receiving job search information from the second user terminal 200, and applying text mining technology to job search information. A task of applying text mining technology to job search information for a second analysis, and a task of creating a first evaluation index that can be quantitatively evaluated by adding a preset score to the result of the second analysis that matches the result of the first analysis. , A task of comparing the result of the second analysis matching the result of the first analysis with the quantitative average of other second users, the comparison result, one capable of qualitatively evaluating the characteristic information above the static average that only the second user has. Creating a second evaluation index including the second evaluation items above, sorting the first evaluation index in descending order along with some job search information for the second user, and one or more second evaluation items in the vicinity of the first evaluation index The task of arranging the second evaluation indicators together, generating evaluation information including the first evaluation index and the second evaluation index and transmitting it to the first user terminal 100, the first of one or more second evaluation items 1 In response to the selection of a second evaluation item by the user, while maintaining the evaluation information, qualitative characteristics of the second user included in the second evaluation item are popped up in sentences and provided, responding to evaluation information Thus, the task of providing the job of providing the pass information for recruiting talent to the second user terminal 200 corresponding to the talent selection information received from the first user terminal 100, the result of the first analysis, the result of the second analysis, and the first evaluation index And the second evaluation index and evaluation information for each of the company and the second user for the talent recruitment pass information, and a control software that generates the learned result as history information and stores it in the database 350. It is equipped.

The controller 340 may control an overall operation state of the information analysis device 300. The controller 340 may include a processor (not shown) provided with at least one or more, may be implemented as an array of a plurality of logic gates, a general-purpose microprocessor and a memory in which a program executable in the microprocessor is stored. It may be implemented in a combination of. In addition, it can be understood by those of ordinary skill in the art to which the present embodiment pertains that it may be implemented with other types of hardware.

The database 350 may include a company database that stores information about each company that will employ human resources received from the first user terminal 100. Here, the information of the company is corporate disclosure information, management performance information, governance and management information, transaction processing information, resource management information, manufacturing execution information, e-commerce information, customer management information, knowledge management information, corporate management information, business intelligence It may include information, big data, job search history information, job search information, etc. for a person hired in response to the job search history information.

The database 350 may include a job search database storing each job search information received from the second user terminal 200. Here, basic information about the user such as job search information, name, affiliation, personal information, gender, age, contact information, email, address, etc., and authentication (login) such as ID (or email) and password It may include information related to access, such as information on the connection country, access location, information on a device used for access, and a connected network environment. In addition, the job search database includes job search information related to the second user, attribute information on actions performed by the second user by accessing the information analysis application or information analysis site, and previous job search history information for the second user. I can. The information stored in the database 350 may be updated in real time or periodically under the control of the controller 340.

The information analysis management unit 360 applies text mining technology to the job offer information received from the first user terminal 100 to perform a first analysis on the talent image that the company wants to employ, and receives it from the second user terminal 200 By applying text mining technology to one job search information, a second analysis may be performed on characteristic information included in job search information.

The information analysis management unit 360 generates a first evaluation index that can be quantitatively evaluated by adding a preset score to the result of the second analysis matching the result of the first analysis, and the second evaluation index matching the result of the first analysis. By comparing the result of the analysis with the quantitative average of other second users, a second evaluation index including one or more second evaluation items capable of qualitatively evaluating the characteristic information above the static average possessed by the second user only is generated. can do.

The information analysis management unit 360 sorts the first evaluation index in descending order along with some job search information for the second user, and arranges the second evaluation index including one or more second evaluation items in the vicinity of the first evaluation index. Evaluation information is provided to the first user terminal 100, and the second evaluation item while maintaining the evaluation information in response to the selection and reception of one of the second evaluation items by the first user among one or more second evaluation items Qualitative characteristics for the second user included in may be provided by popping up a sentence.

The information analysis management unit 360 may provide information on a talent recruitment pass to the second user terminal 200 corresponding to the talent selection information received from the first user terminal 100 in response to the evaluation information.

The information analysis management unit 360 employs evaluation information including the results of the first analysis, the results of the second analysis, the first evaluation index and the second evaluation index, and the selection of the first user terminal 100 The pass information may be learned for each of the company and the second user, and the learned result may be generated as history information and stored in the database 350.

3 is a diagram schematically illustrating a detailed configuration of an information analysis management unit of the information analysis device of FIG. 2. In the following description, portions overlapping with the descriptions of FIGS. 1 and 2 will be omitted.

3, the information analysis management unit 360 includes a first receiving unit 361, a second receiving unit 362, a first analyzing unit 363, a second analyzing unit 364, a generating unit 365, and Study 366 and may include a learning unit (367).

The first receiving unit 361 may receive the job offer information from the first user terminal 100 provided by an information analysis application or a manager of a company who wants to hire a person who has accessed the information analysis site. The job offer information received by the first receiving unit 361 from the first user terminal 100 is an image job offer information taken of a document including offline job offer information, and a job offer information video file taken by the first user terminal 100 And, one or more of a voice job offer information file inputted by the first user by voice, and URL (uniform resource locator) job offer information created by an information analysis application or an information analysis site.

The second receiver 362 may receive job search information corresponding to the information on recruitment of human resources from the second user terminal 200 provided by the job seeker accessing the information analysis application or the information analysis site. The job search information received by the second receiving unit 362 from the second user terminal 200 includes image job search information photographed offline job search information, a job search information video file taken with the second user terminal 200, and a second It may include one or more of a voice job search information file input by the user by voice, and a uniform resource locator (URL) job search information created by an information analysis application or an information analysis site.

The first analysis unit 363 may apply a text mining technology to the job offer information received from the first user terminal 100 to perform a first analysis on the image of a person the company intends to employ. As a result of performing the first analysis, the first analysis unit 363 may generate one or more meaningful words for the image of human resources the company intends to employ.

Here, text mining is a technique for formalizing semi-structured/unstructured text data using natural language processing techniques based on linguistics, statistics, machine learning, etc., and meaningful information from the extracted features. It may include techniques that make it possible to discover. In other words, text mining is a technique that analyzes a large amount of freely described text data and obtains useful information from the analysis results.For example, by extracting words from the text data to be analyzed, it analyzes the frequency and tendency of words to appear. By doing so, information can be obtained.

As an optional embodiment, the first analysis unit 363 includes previous job search history information received from the first user's terminal 100 stored in the database 350, and job search information for a person employed in response to the previous job search history information. Wow, with respect to the job offer information received from the first user terminal 100 this time, a first analysis of the human resources that the company intends to employ by applying machine learning to words extracted by applying text mining technology can be performed. , As a result of performing the first analysis, it is possible to generate one or more meaningful words, such as sales, technology development, TOEIC, annual salary, and the like, for the image of human resources the company wants to employ.

The second analysis unit 364 may perform a second analysis on characteristic information included in the job search information by applying text mining technology to job search information received from the second user terminal 200. The second analysis unit 364 performs one or more meaningful words for characteristic information included in the job search information as a result of performing the second analysis, for example, extroverted, challenging, active, overseas experience, human relations, and TOEIC 800 points. And so on.

As an optional embodiment, the second analysis unit 364 includes previous job search history information received from the second user's terminal 200 stored in the database 350 and the behavior of the second user accessing the information analysis application or information analysis site. With respect to the information and the job search information received from the second user terminal 200 this time, a second analysis can be performed on the characteristic information included in the job search information by applying text mining technology, and the result of the second analysis As, it is possible to generate one or more meaningful words for characteristic information included in job search information.

As an optional embodiment, the second analysis unit 364 performs a second analysis in response to the job search information of the second user who stared at the job search information from the first user terminal 100 this time, or the first user terminal 100 The second analysis may be performed in response to the job search information of the second user stored in the database 350, although not taking the job information from ).

As an optional embodiment, the first analysis unit 363 and the second analysis unit 364 may analyze the first analysis and the second analysis using artificial intelligence technology. Here, artificial intelligence (AI) technology is a computer processing technology that realizes human-level intelligence, and unlike existing rule-based smart technology, it can be said that a machine learns, judges, and becomes smarter.

As artificial intelligence technology is used, the recognition rate improves and users' tastes can be understood more accurately, and the existing rule-based smart system can be gradually replaced by a deep learning-based artificial intelligence system. Artificial intelligence technology can be composed of machine learning (deep learning) and element technologies using machine learning. Machine learning is an algorithm technology that classifies/learns the features of input data by itself, and element technology is a technology that simulates functions such as cognition and judgment of the human brain using machine learning algorithms such as deep learning. It can be composed of technical fields such as understanding, reasoning/prediction, knowledge expression, and motion control.

The various fields where artificial intelligence technology is applied are as follows. Linguistic understanding is a technology that recognizes and applies/processes human language/text, and may include natural language processing, machine translation, dialogue system, question and answer, and speech recognition/synthesis. Visual understanding is a technology that recognizes and processes objects like human vision, and may include object identification, object tracking, image search, human recognition, scene understanding, spatial understanding, and image improvement. Inference prediction is a technique for logically inferring and predicting information by determining information, and may include knowledge/probability-based inference, optimization prediction, preference-based planning, and recommendation. Knowledge expression is a technology that automatically processes human experience information into knowledge data, and may include knowledge construction (data generation/classification), knowledge management (data utilization), and the like. Motion control is a technology that controls autonomous driving of a vehicle and movement of a robot, and may include movement control (navigation, collision, driving), operation control (behavior control), and the like.

The generator 365 may generate a first evaluation index capable of quantitatively evaluating by adding a preset score to the result of the second analysis matching the result of the first analysis. Here, the term “quantitative” may include the meaning that it can be expressed in numerical form, and such a quantitative evaluation target may include the credits and experience of the second user, and the first evaluation index is added to the quantitative evaluation target. May contain the total sum of scores.

When generating the first evaluation index, the generation unit 365 adds a preset score when the TOEIC, which is one of the results of the first analysis, and the TOEIC, which is one of the second analysis results, matches, and adds a second score. When the user's TOEIC score is 700 or more of the reference score, a method of adding a preset bonus score of 1 may be included. In addition, if one of the results of the first analysis and one of the results of the second analysis match, a preset score of 1 is added, and if the second user's experience is 3 years or more, a preset bonus score of 0.5 It may also include a method of adding more points.

That is, the generation unit 365 adds a preset score to the second user having the result of the second analysis that matches the result of the first analysis, and the second user who has a capability value equal to or greater than the reference value included in the result of the second analysis. The first evaluation index may be generated by adding a preset bonus score to the user. Here, the higher the first evaluation index, the more suitable it is for the quantitative talent the company wants.

However, in hiring talented people in a company, even if the first evaluation index is high, it cannot be guaranteed that the company wants it, so a second evaluation index containing qualitative information about the second user described below is created and Can be reflected.

The generation unit 365 may compare the result of the second analysis matching the result of the first analysis with the quantitative average of other second users, and qualitatively evaluate the characteristic information that is more than the regular average of only the second user. A second evaluation index including one or more second evaluation items may be generated. Here, the term “qualitative” may include a meaning that it cannot be expressed in numerical form, and such a qualitative evaluation may include the personality and disposition of the second user.

In addition, the second evaluation item may include feature information that is equal to or higher than the regular average of only the second user by comparing the result of the second analysis matching the result of the first analysis with the quantitative average of other second users, Each second evaluation item may be exposed after an identification code, for example, a hash tag. The second evaluation items are, for example, #higher grades, #many awards, #short-distance residents, #having club experience, #less age compared to career, #corresponding to job orientation, #during active job search, #desired salary Low, #popular resume, #distant residents, etc., #2-1 evaluation items, #2-2 evaluation items, #2-3 evaluation items, etc. can be exposed. In addition, such a second evaluation item may include a sentence on qualitative characteristics of characteristic information possessed only by the second user.

For example, if the first user selects "#conforms to job orientation" among the second evaluation items for the second user, the qualitative characteristic of the second user included in "#matches the job orientation" The second user has a strong tendency to [exploration-type custom]. When we see that [84%] of the incumbents in the recruitment group are inquiry-type talents, it can be said that they have an appropriate disposition for the job." have. In addition, if the first user selects "#desired salary is low" among the second evaluation items for the second user, the qualitative characteristic of the second user included in "#desired salary is low" The user's desired salary is 15% lower than the standard." In addition to the first evaluation index, the first user can view the contents of the second evaluation item for the second user, so that only the contents of the second evaluation item can grasp the propensity of the second user, job ability, and the degree of matching with the company. have.

Here, the one or more sentences popped up for the second evaluation item do not necessarily include only qualitative content, but may include only quantitative content, or may be a form in which qualitative and quantitative content are mixed. In addition, one or more sentences popped up for the second evaluation item are not provided to the second user and can be viewed only by the first user.

The provider 366 sorts the first evaluation index in descending order along with some job search information for the second user, and arranges the second evaluation index including one or more second evaluation items near the first evaluation index together. Information may be provided to the first user terminal 100. Here, the partial job search information for the second user may include one or more of image information, name, age, final education, major/credit, career, desired salary, and application date of the second user. The provider 366 may expose the first evaluation index below the image information of the second user, and may expose a second evaluation index including one or more second evaluation items next to the first evaluation index.

4 and 5 are diagrams schematically illustrating evaluation information provided by the providing unit 366 to the first user terminal 100. Referring to FIG. 4, some job search information for a second user in which the first evaluation index is arranged in descending order is shown, and a second evaluation index including at least one second evaluation item is exposed next to the first evaluation index. Evaluation information is shown.

Referring to FIG. 5, the first user selects "#2-4 evaluation items" for the second user from among the evaluation information of FIG. 4, and is included in the "#2-4 evaluation items". 2 The qualitative characteristic of the user, "This second user has a remarkable [exploration-type custom] tendency. [84%] of the incumbent [84%] in the recruitment group are inquiry-type talents, so it can be said that they have a tendency to fit the job. An example in which the sentence "" is exposed in the form of a pop-up is shown. In the conventional case, when a company providing job search information receives job search information from a second user, it takes a lot of time and resources because it has to check all job search information for the second user.

However, from FIGS. 4 and 5, evaluation information on the analysis result corresponding to job search information for all second users is provided on one screen, so that the first user is provided on one screen (evaluation information) provided to the first user terminal 100. By quickly and accurately checking the first evaluation index and the second evaluation index for each of the second users, it is possible to save time and resources for hiring talent.

In addition, it is possible to hire talent while viewing the second qualitative evaluation index of the second user, rather than employing only the first quantitative index of the second user. That is, if the first evaluation index is high but the second evaluation index is not good, the second user may not be employed. In addition, if the first evaluation index is low but the second evaluation index is good, the second user may be employed.

As an optional embodiment, the providing unit 366 may provide the talent recruitment pass information to the second user terminal 200 corresponding to the talent selection information received from the first user terminal 100 in response to the evaluation information.

The learning unit 367 includes a first analysis result analyzed by the first analysis unit 363, a second analysis result analyzed by the second analysis unit 364, and a first analysis result generated by the generation unit 365. The evaluation information including the evaluation index and the second evaluation index, and the information on the pass information for recruitment of talent by selection of the first user terminal 100, are learned for each of the company and the second user, and the results of the learning are recorded as history information. It can be created and stored in the database 350.

6 is a diagram schematically illustrating a detailed configuration of a first user terminal or a second user terminal in the information analysis system of FIG. 1. In the following description, portions overlapping with the descriptions of FIGS. 1 to 5 will be omitted. In this embodiment, the user terminal may include one of the first user terminal 100 and the second user terminal 200, and for convenience of description, the first user terminal 100 will be described.

Referring to FIG. 6, the first user terminal 100 may include a communication unit 110, a memory 120, an input/output unit 130, a program storage unit 140, a control unit 150, and a display unit 160. have.

The communication unit 110 may be a device including hardware and software necessary for transmitting and receiving a signal such as a control signal or a data signal through a wired or wireless connection with another network device such as the information analysis device 300. For example, the communication unit 110 may include a short-range communication unit or a mobile communication unit. The short-range wireless communication unit includes a Bluetooth communication unit, a Bluetooth Low Energy (BLE) communication unit, a Near Field Communication unit, a WLAN (Wi-Fi) communication unit, a Zigbee communication unit, an infrared (IrDA, infrared) communication unit. Data Association) communication unit, WFD (Wi-Fi Direct) communication unit, UWB (ultra-wideband) communication unit, Ant+ communication unit, etc., but is not limited thereto. The mobile communication unit transmits and receives a radio signal with at least one of a base station, an external terminal, and a server on a mobile communication network. Here, the wireless signal may include a voice call signal, a video call signal, or various types of data according to transmission/reception of text/multimedia messages.

The memory 120 may temporarily or permanently store data processed by the controller 150 or may temporarily or permanently store data transmitted to the first user terminal 100. Here, the memory 120 may include a magnetic storage medium or a flash storage medium, but the scope of the present invention is not limited thereto.

The input/output unit 130 may be configured with a touch-sensitive display controller or various input/output controllers. For example, the touch-sensitive display controller may provide an output interface and an input interface between the device and the user. The touch-sensitive display controller may transmit/receive electrical signals to and from the controller 150. In addition, the touch-sensitive display controller displays a visual output to the user, and the visual output may include text, graphics, images, video, and combinations thereof. The input/output unit 130 may be, for example, a predetermined display member such as an organic light emitting display (OLED) or a liquid crystal display (LCD) capable of recognizing a touch.

The program storage unit 140 accesses the information analysis device 300 to upload job offer information, requests for evaluation information, receives evaluation information, and transmits talent selection information after receiving evaluation information. Control software to perform and the like can be installed. Here, in the case of the second user terminal 200, a job of connecting to the information analysis device 300 and uploading job search information, a job of using a service provided by the information analysis apparatus 300, a job of receiving information on passing talents, etc. Can be equipped with control software to perform.

The control unit 150 is a kind of central processing unit and provides various functions such as driving control software installed in the program storage unit 140 and controlling the display unit 160 to display predetermined information on the user terminal 100. can do. Here, the control unit 150 may include all kinds of devices capable of processing data, such as a processor. Here, the'processor' may refer to a data processing device embedded in hardware having a circuit physically structured to perform a function represented by a code or instruction included in a program. As an example of a data processing device built into the hardware as described above, a microprocessor, a central processing unit (CPU), a processor core, a multiprocessor, and an application-specific integrated (ASIC) circuit) and processing devices such as field programmable gate arrays (FPGAs), but the scope of the present invention is not limited thereto.

The display unit 160 may display various types of information received from the information analysis apparatus 300 and various types of information to be transmitted to the information analysis apparatus 300 under the control of the controller 150.

7 is a flowchart illustrating a personal activity management method according to an embodiment of the present invention. In the following description, portions overlapping with the descriptions of FIGS. 1 to 6 will be omitted.

Referring to FIG. 7, in step S710, the information analysis device 300 receives job offer information from a first user terminal 100 provided by an information analysis application or a manager of a company who wants to hire a person who has accessed the information analysis site. And, the job search information corresponding to the job search information is received from the second user terminal 200 provided by the job seeker connected to the information analysis application or the information analysis site.

The job search information and job search information received by the information analysis device 300 from the first user terminal 100 and the second user terminal 200 include image information photographing the job information and job search information on the offline, and the first user terminal ( 100) and a video file for job search information and job search information captured by the second user terminal 200, an audio file for job search information and job search information input by the first user and/or the second user, and information It may include one or more of URL (uniform resource locator) job search information and job search information created by the analysis application or information analysis site.

In step S720, the information analysis device 300 applies text mining technology to the job offer information received from the first user terminal 100 to perform a first analysis on the talent image that the company wants to employ, and then perform the first analysis. As a result, one or more meaningful words for the image of human resources the company wants to employ are generated, and a second analysis of characteristic information included in the job search information by applying text mining technology to job search information received from the second user terminal 200 And, as a result of performing the second analysis, one or more meaningful words for feature information included in the job search information are generated.

As an optional embodiment, the information analysis device 300 includes previous job search history information received from the first user's terminal 100 stored in the database 350 and job search information for a person employed in response to the previous job search history information. Wow, with respect to the job offer information received from the first user terminal 100 this time, a first analysis of the human resources that the company intends to employ by applying machine learning to words extracted by applying text mining technology can be performed. , As a result of performing the first analysis, it is possible to generate one or more meaningful words for the image of talent that the company wants to employ.

As an optional embodiment, the information analysis device 300 includes previous job search history information received from the second user's terminal 200 stored in the database 350, and behavior information of the second user accessing the information analysis application or information analysis site. Wow, with respect to the job search information received from the second user terminal 200 this time, a second analysis can be performed on the characteristic information included in the job search information by applying text mining technology, and as a result of performing the second analysis One or more meaningful words for feature information included in job search information may be generated.

As an optional embodiment, the information analysis device 300 performs a second analysis in response to the job search information of the second user who stared at the job search information from the first user terminal 100 this time, or the first user terminal 100 The second analysis may be performed in response to the job search information of the second user stored in the database 350 although not taking the job information from from.

As an alternative embodiment, the first analysis unit 363 and the second analysis unit 364 may analyze the first analysis and the second analysis using artificial intelligence technology.

In step S730, the information analysis device 300 generates a first evaluation index that can be quantitatively evaluated by adding a preset score to the result of the second analysis matching the result of the first analysis, and A second evaluation item including one or more second evaluation items capable of qualitatively evaluating feature information above the static average possessed by only the second user by comparing the result of the matching second analysis with the quantitative average of other second users. Create an evaluation index.

Here, the term “quantitative” may include the meaning that it can be expressed in numerical form, and such a quantitative evaluation target may include the credits and experience of the second user, and the first evaluation index is added to the quantitative evaluation target. May contain the total sum of scores. That is, the information analysis device 300 adds a preset score to the second user having the result of the second analysis matching the result of the first analysis, and the second having a capability value equal to or greater than the reference value included in the result of the second analysis. The first evaluation index may be generated by adding a preset bonus score to the user. Here, the higher the first evaluation index, the more suitable it is for the quantitative talent the company wants.

In addition, the term qualitative may include the meaning that it cannot be expressed in numerical form, and such a qualitative evaluation may include the personality and disposition of the second user. The second evaluation item may include feature information that is equal to or higher than the static average of only the second user by comparing the result of the second analysis matching the result of the first analysis with the quantitative average of other second users. The second evaluation item may be exposed after an identification code, for example, a hash tag. The second evaluation items may be exposed as #2-1 evaluation items, #2-2 evaluation items, and #2-3 evaluation items. In addition, such a second evaluation item may include a sentence on qualitative characteristics of characteristic information possessed only by the second user. Here, the one or more sentences popped up for the second evaluation item do not necessarily include only qualitative content, but may include only quantitative content, or may be a form in which qualitative and quantitative content are mixed. In addition, one or more sentences popped up for the second evaluation item are not provided to the second user and can be viewed only by the first user.

In step S740, the information analysis device 300 arranges the first evaluation index in descending order along with some job search information for the second user, and a second evaluation index including one or more second evaluation items near the first evaluation index. The evaluation information arranged together is provided to the first user terminal 100.

Here, the partial job search information for the second user may include one or more of image information, name, age, final education, major/credit, career, desired salary, and application date of the second user. The information analysis device 300 may expose the first evaluation index below the image information of the second user, and may expose a second evaluation index including one or more second evaluation items next to the first evaluation index.

As an optional embodiment, the information analysis apparatus 300 may provide the information on the recruitment pass of the talent to the second user terminal 200 corresponding to the talent selection information received from the first user terminal 100 in response to the evaluation information.

As an optional embodiment, the information analysis device 300 includes evaluation information including a result of a first analysis, a result of a second analysis, a first evaluation index and a second evaluation index, and the selection of the first user terminal 100. With respect to the recruitment pass information of the talent, it is possible to learn for each of the company and the second user, and generate the learned result as history information and store it in the database 350.

The embodiment according to the present invention described above may be implemented in the form of a computer program that can be executed through various components on a computer, and such a computer program may be recorded in a computer-readable medium. In this case, the medium is a magnetic medium such as a hard disk, a floppy disk, and a magnetic tape, an optical recording medium such as a CD-ROM and a DVD, a magneto-optical medium such as a floptical disk, and a ROM. A hardware device specially configured to store and execute program instructions, such as, RAM, flash memory, and the like.

Meanwhile, the computer program may be specially designed and configured for the present invention, or may be known and usable to those skilled in the computer software field. Examples of the computer program may include not only machine language codes produced by a compiler but also high-level language codes that can be executed by a computer using an interpreter or the like.

In the specification of the present invention (especially in the claims), the use of the term "above" and a reference term similar thereto may correspond to both the singular and the plural. In addition, when a range is described in the present invention, the invention to which an individual value falling within the range is applied (unless otherwise stated), and each individual value constituting the range is described in the detailed description of the invention. Same as

If there is no explicit order or contrary to the steps constituting the method according to the present invention, the steps may be performed in a suitable order. The present invention is not necessarily limited according to the order of description of the steps. The use of all examples or illustrative terms (for example, etc.) in the present invention is merely for describing the present invention in detail, and the scope of the present invention is limited by the above examples or illustrative terms unless limited by the claims. It does not become. In addition, those skilled in the art can recognize that various modifications, combinations, and changes may be configured according to design conditions and factors within the scope of the appended claims or their equivalents.

Therefore, the spirit of the present invention is limited to the above-described embodiments and should not be determined, and all ranges equivalent to or equivalently changed from the claims to be described later as well as the claims to be described later are the scope of the spirit of the present invention. It will be said to belong to.

1: information analysis system
100: first user terminal
200: second user terminal
300: information analysis device
400: communication network

Claims (6)

A terminal of a second user who is a job seeker who has access to the information analysis application or the information analysis site after receiving job search information from the terminal of the first user who is an administrator of a company who wants to hire a person who has accessed the information analysis application or the information analysis site A receiving unit for receiving job search information corresponding to the job offer information from;
By applying text mining technology to each of the job search information and the job search information received by the receiving unit, a first analysis is performed on the talent image that the company intends to employ, and a second analysis on the characteristic information included in the job search information An analysis unit that performs;
The result of the second analysis matching the result of the first analysis to generate a first evaluation index that can be quantitatively evaluated by adding a preset score to the result of the second analysis matching the result of the first analysis Generating unit for generating a second evaluation index including one or more second evaluation items capable of qualitatively evaluating characteristic information above the static average possessed by only the second user by comparing with the quantitative average of other second users ; And
Evaluation information in which the first evaluation index is arranged in descending order along with some job search information for the second user, and a second evaluation index including the one or more second evaluation items is arranged in the vicinity of the first evaluation index together. Containing, information analysis device; providing unit for providing the terminal of the first user. The method of claim 1, wherein the providing unit,
Qualitative for the second user included in the second evaluation item while maintaining the evaluation information in response to the selection of one second evaluation item by the first user among the one or more second evaluation items An information analysis device that provides features by popping up in sentences. The method of claim 1, wherein the analysis unit,
Previous job search history information received from the terminal of the first user stored in the database, job search information for a person employed in response to the previous job search history information, and the text mining technology are applied to the job search information. An information analysis device that applies machine learning to the extracted words to perform a first analysis on the image of human resources the company intends to employ. The method of claim 1, wherein the analysis unit,
With respect to the previous job search history information received from the terminal of the second user stored in the database, the behavior information of the second user accessing the information analysis application or the information analysis site, and the job search information, the text mining technology The information analysis device for performing a second analysis on the feature information of the second user by applying machine learning to words extracted by applying the machine learning. The method of claim 1, wherein the providing unit,
In response to the evaluation information, the information analysis device for providing talent recruitment pass information to the terminal of the second user corresponding to the talent selection information received from the terminal of the first user. The method of claim 5,
With respect to the result of the first analysis, the result of the second analysis, the first evaluation index, the second evaluation index, the evaluation information, and the personnel employment pass information, the company and the second user A learning unit that learns for each object and generates a learning result as history information and stores it in a database; further comprising, an information analysis device.

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