KR102546409B1 - An apparatus and a method for providing job suitability information services based on learning-based analysis of user's experience information - Google Patents

Abstract

An operating method of an apparatus for providing job suitability information service according to an embodiment of the present invention includes collecting experience sentence information data corresponding to one or more query sentences provided to a user terminal; inputting the experience sentence information into a pre-built job suitability calculation model, and obtaining job fit calculated based on text analysis of the experience sentence information from the job suitability calculation model; and providing a job suitability information service interface based on the job suitability to the user terminal.

Description

Method and device for providing job suitability information based on learning-based analysis of user experience information

The present invention relates to an evaluation module and its operating method. More specifically, the present invention relates to a method and apparatus for providing job suitability information based on learning-based analysis of user experience information.

In accordance with changes in domestic higher education policies (consumer-centered education, establishment of an education system centered on core competencies) and the advent of the 4th Industrial Revolution, more than 7,000 new jobs have been created over the past 10 years, and various experiences have been made. Testees have more difficulty in choosing a job that suits them.

Accordingly, various services for recommending jobs according to one's competency or job suitability are being provided. In the past, there have been methods to analyze the aptitudes of testees from various angles through intelligence tests, emotional index tests, career aptitude tests, etc., and suggest jobs suitable for the testees, but these methods take excessive time and money, and evaluation by evaluation agency Since the objectivity of the results is also lacking, there is a problem that the job matching result calculated based on the aptitude test is not objective.

Therefore, in recent years, services through which individuals can easily receive job recommendations by inputting their capabilities as filter information through online sites or applications such as job information search sites have emerged.

However, these existing online job service systems only make recommendations when users search for jobs with simply input filter information, and do not make recommendations by reflecting individual experiences or specific tendencies in detail, so it takes a long time to search for suitable job information. and cost.

In addition, since the existing methods cannot quantify the degree of job aptitude or capability of the user, there is a problem in that accuracy and user satisfaction are very low, resulting in a low utilization rate.

Meanwhile, artificial intelligence (AI) is revolutionizing business, organization management, lifestyles and communication methods. Various informatization projects are being carried out to provide optimal services for the fast-changing lifestyle of modern culture and the diverse and ever-changing needs of customers.

Among them, technologies related to big data and deep learning have recently developed at a rapid pace, and artificial intelligence technology that is applied to real life in certain fields has been implemented. It is also being applied to intelligent personal services.

In this way, in order to provide various user services such as artificial intelligence and data analysis services, data mining for a very large amount of text and other language-based information is required, and machine learning methods are mainly used for this purpose. For machine learning of these documents, a classification method using a document vector representing a sentence as a vector value embedding words of the current document is mainly used.

The present invention has been made to solve the above problems, and builds an experiential information learning model that processes machine learning-based analysis using a user's free input of experiential information corresponding to a predetermined query, and By building a recommendation model that extracts the user's job competency and inclination, the user's job or job fit based on the recommendation model is accurately calculated and provided as numerical values or grades according to each competency and propensity, so that the user can determine his or her job fit. It is possible to provide a method and apparatus for providing job suitability information based on learning-based analysis of user experience information that can be clearly identified and recommended and selected for a job or job based thereon.

A method according to an embodiment of the present invention for solving the above problem is a method of operating a job suitability information service providing apparatus, comprising the steps of collecting experience sentence information data corresponding to one or more query sentences provided to a user terminal. ; inputting the experience sentence information into a pre-built job suitability calculation model, and obtaining job fit calculated based on text analysis of the experience sentence information from the job suitability calculation model; and providing a job suitability information service interface based on the job suitability to the user terminal.

An apparatus according to an embodiment of the present invention for solving the above problems is an apparatus for providing job suitability information service, an experience information collection unit that collects experience sentence information data corresponding to one or more query sentences provided to a user terminal. ; an analysis data processing unit inputting the experience sentence information into a pre-built job suitability calculation model of an evaluation module and acquiring job suitability calculated based on text analysis of the experience sentence information from the job suitability calculation model; and a service provider providing a job suitability information service interface based on the job suitability to the user terminal.

On the other hand, the method according to the embodiment of the present invention for solving the above problems can be implemented in a program for executing the method in a computer and a recording medium on which the program is recorded.

According to an embodiment of the present invention, an experiential information learning model that processes machine learning-based analysis is constructed using a user's free input of experiential information corresponding to a predetermined query, and the user's job competency and inclination according to the analysis result are determined. By constructing a recommendation model that extracts and accurately calculating and providing the user's job or job fit based on the recommendation model as a numerical value or grade according to each competency and inclination, the user clearly confirms his/her job fit and Alternatively, a method and apparatus for providing job suitability information based on learning-based analysis of user experience information for selecting and receiving job recommendations may be provided.

Accordingly, the service providing device according to an embodiment of the present invention may provide detailed job or job-related information selected according to job suitability to the user, and provide development guide information for the required competency through various interfaces, Accordingly, it is possible to maximize the usability of the service by providing an interworking function with an education service or a recruitment service.

1 is a conceptual diagram schematically illustrating an entire system according to an embodiment of the present invention.
2 is a block diagram for explaining an evaluation module according to an embodiment of the present invention in more detail.
3 is a block diagram illustrating a job suitability information service providing apparatus according to an embodiment of the present invention in more detail.
4 is a flowchart illustrating in detail an operation method of an apparatus for providing job suitability information service according to an embodiment of the present invention.
5 to 11 are exemplary diagrams showing job interface screens output from the user terminal 300 in more detail according to service provision information of the job interface-based job suitability information service providing device according to an embodiment of the present invention. .

The following merely illustrates the principles of the present invention. Therefore, those skilled in the art can invent various devices that embody the principles of the present invention and fall within the concept and scope of the present invention, even though not explicitly described or shown herein. In addition, it is to be understood that all conditional terms and embodiments listed herein are, in principle, expressly intended only for the purpose of making the concept of the present invention understood, and not limited to such specifically listed embodiments and conditions. It should be.

Further, it should be understood that all detailed descriptions reciting specific embodiments, as well as principles, aspects and embodiments of the present invention, are intended to encompass structural and functional equivalents of these matters. In addition, it should be understood that such equivalents include not only currently known equivalents but also equivalents developed in the future, that is, all devices invented to perform the same function regardless of structure.

Thus, for example, the block diagrams herein are to be understood as representing conceptual views of exemplary circuits embodying the principles of the present invention. Similarly, all flowcharts, state transition diagrams, pseudo code, etc., are meant to be tangibly represented on computer readable media and represent various processes performed by a computer or processor, whether or not the computer or processor is explicitly depicted. It should be.

In addition, the explicit use of terms presented as processor, control, or similar concepts should not be construed as exclusively citing hardware capable of executing software, but without limitation, digital signal processor (DSP) hardware, ROM for storing software (ROM), random access memory (RAM) and non-volatile memory. Other hardware for the governor's use may also be included.

The above objects, features and advantages will become more apparent through the following detailed description in conjunction with the accompanying drawings, and accordingly, those skilled in the art to which the present invention belongs can easily implement the technical idea of the present invention. There will be. In addition, in describing the present invention, if it is determined that a detailed description of a known technology related to the present invention may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted.

Hereinafter, a preferred embodiment according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram schematically illustrating an entire system according to an embodiment of the present invention.

Referring to FIG. 1 , the system according to an embodiment of the present invention may include an evaluation module 100, a job suitability information service providing device 200, and a user terminal 300, and the evaluation module 100 may include learning It may include the database 180 or be connected to the learning database 180, and may be configured as a modular device provided inside or outside the job suitability information service providing device 200.

More specifically, the evaluation module 100 performs machine learning based on experience sentence information input data stored in the learning database 180 to evaluate one or more evaluation models for competency, propensity, and job fit. may be constructed, and using the constructed evaluation model, evaluation and analysis corresponding to the user experience information input from the job suitability information service providing device 200 is performed, and the corresponding analysis data is provided to the job suitability information service providing device. (200) can be provided.

In an embodiment of the present invention, a job is intended to be described as a necessary work ability to perform a job, and job fit can also be referred to as job fit. Hereinafter, job fit is unified and described, but the concepts of job and job are mixed It can be.

In addition, the job suitability information service providing apparatus 200 according to an embodiment of the present invention provides one or more query information for evaluating job suitability based on the basic information to the user terminal 300 in which basic information is registered. And, according to experience information input from the user terminal 300 corresponding to the query information, the experience information may be provided to the evaluation module 100 .

The job suitability information service providing apparatus 200 obtains competency scores and propensity scores calculated from one or more evaluation models from the evaluation module 100, and obtains the competency scores and propensity scores from the evaluation module 100. A job suitability score calculated by using the computer may be obtained, processed as analysis data, and a job interface may be generated by processing the analysis data. The job interface thus generated may be provided to the user terminal 300 .

In particular, according to an embodiment of the present invention, the experience information that is the criterion for analysis may be one or more experience sentence information corresponding to a query provided to the user, and the experience sentence information is preferably configured as text information. However, it is not limited thereto, and the job suitability information service providing device 200 may obtain the experience sentence information by converting voice information obtained from the user terminal 300 into text information.

More specifically, the evaluation module 100 may perform text pre-processing corresponding to experience sentence information, perform vector conversion processing based on sentence separation and word analysis corresponding to the pre-processed text, and pre-constructed competency models. And by applying to the propensity model, the user's competency score and propensity score may be calculated.

In addition, the evaluation module 100 may input the competency score and propensity score to the job suitability model, and calculate a job suitability score corresponding to job or job information according to basic information input of the user terminal 300 .

To calculate these competency scores, propensity scores, and fitness, the evaluation module 100 performs word vector conversion processing to map words of the input experience sentence information onto a vector space, and uses the converted vector to convert the user's experience. It is possible to build a word dictionary capable of analyzing the specific tendencies and capabilities of the base, and to perform word dictionary-based similarity analysis.

To this end, the evaluation module 100 performs learning processing based on a convolutional neural network between vectors based on a similarity calculation between an experiential sentence to be learned and a preset core competency word in advance, thereby experiential sentences. When is input, an evaluation model may be constructed in which propensity scores including one or more propensity item scores and competency scores including one or more competency item scores are calculated.

In addition, the evaluation module 100 builds a job suitability evaluation model to which item weights for each job are applied differently based on required competency or propensity item information related to suitability for each job set in advance, and basic information and The job fit score may be calculated by inputting the propensity item score or the capability item score to the job fit evaluation model.

Accordingly, the output layer of the evaluation module 100 may include scores for each propensity item, score for each capability item, job fit score for each job, and recommended job information based on the job fit.

In addition, the job suitability information service providing apparatus 200 obtains analysis data based on the output layer data of the evaluation module 100, processes the analysis data as one or more job interfaces, and provides the data to the user terminal 300. As can be done, the job interface may be output through a display unit, a voice output unit, and the like in the user terminal 300 .

Here, in the job interface, personalized analysis information corresponding to each of his/her own propensity item score information, competency item score information, job suitability information, and recommended job information can be provided, and the user can In preparation for the propensity, a schematic graph interface allowing one's fitness to be grasped may be provided together.

In addition, the job suitability information service providing apparatus 200 according to an embodiment of the present invention, when the suitability is below the threshold value, calculates required capability or propensity information, configures guide information corresponding thereto, and includes the guide information. A job interface may be provided to the user terminal 300 . The guide information may include, for example, competency development goal information, related required qualification information, related knowledge information, and education information.

Meanwhile, the user terminal 300, the service providing device 200, and the evaluation module 100 may be wired or wirelessly connected through a network, and each user terminal 300 and the service providing device 200 may communicate with each other between networks. ) and the evaluation module 100 can transmit and receive data through an Internet network, LAN, WAN, PSTN (Public Switched Telephone Network), PSDN (Public Switched Data Network), cable TV network, WIFI, mobile communication network, and other wireless communication networks. can In addition, each user terminal 300, the service providing device 200, and the evaluation module 100 may include each communication module for communicating with a protocol corresponding to each communication network.

In addition, the user terminal 300 described herein includes a mobile phone, a smart phone, a laptop computer, a digital broadcasting terminal, a personal digital assistant (PDA), a portable multimedia player (PMP), a navigation device, and the like. However, the present invention is not limited thereto, and other various devices capable of user input and information display may be used.

According to the system according to the embodiment of the present invention, the user terminal 300 is connected to the service providing device 200 and receives job suitability information based on learning-based analysis of user experience information including the above-described job interface. can be printed out.

The user of the user terminal 300 may input his/her own personal information and desired job information as basic information, and if free experience information is input in response to a query request of the job suitability information service providing device 200, the corresponding user Since the job suitability of the user can be accurately calculated and provided as a numerical value or grade according to each competency and inclination, the user can clearly confirm his or her job suitability.

In addition, the job suitability information service providing device 200 may recommend a job or job according to job suitability, provide related guide information to the user terminal 300, and provide various external sites such as education sites, qualification sites, or employment sites. A function of providing interworking information with a site service may be additionally performed.

2 is a block diagram for explaining an evaluation module according to an embodiment of the present invention in more detail.

Referring to FIG. 2 , the evaluation module 100 according to an embodiment of the present invention includes an input unit 110, a pre-processing unit 120, a model analysis processing unit 140, a learning database 180, and an output unit 190. The model analysis processor 140 may include a word-vector converter 141, a propensity model processor 142, a competency model processor 143, and a job suitability model processor 144.

First, the input unit 110 receives experience sentence information for learning and transfers it to the pre-processing unit 120 to be used for learning, or the user experience sentence information transmitted from the service providing device 200 is transmitted to the pre-processing unit 120. ), and the analysis result data evaluated according to the model analysis of the preprocessing data transmitted from the preprocessing unit 120 to the model analysis processing unit 140 may be output through the output unit 190. Result data of the output unit 190 may be transmitted to the service providing device 200 again.

In addition, the preprocessing unit 120 performs lemmatization, tokenization, normalization, cleaning, stemming, stopword removal, and special processing from the input empirical sentence information. At least one pre-processing of symbol removal is performed and transmitted to the model analysis processing unit 140 .

The model analysis processing unit 140 performs word-vector conversion processing of the word-vector conversion unit 141 based on the word information of the pre-processed text information, and converts the vector-converted word information into the competency model processing unit 143 and propensity It can be controlled to be transferred to the model processing unit 142.

Here, the word-vector conversion unit 141 performs sentence separation processing through morpheme analysis from preprocessed text information, builds a word dictionary based on the separated sentence information, and experiences through word dictionary integration and replacement processing. Corresponding to the sentence analysis, the number of frequencies of selected words may be calculated, and vector conversion processing for each word may be performed using the frequency counts, for which known Word2Vec technology and word embedding technology may be used.

In addition, the competency model processing unit 143 may set core competency words for each pre-set competency item, store the competency model built based thereon in the learning database 180, and convert the word-vector converter 141 to the user. When vector conversion word information corresponding to experience sentence information is input, a sum score for each competency item may be calculated according to a similarity calculation with the core competency word.

For example, a cosine similarity calculation method may be exemplified in the similarity calculation, which may calculate similarity with core keywords for each competency item corresponding to words in the text as a score value, and sum them up score can be calculated.

More specifically, the competency model processing unit 143 may calculate a similarity with a core competency word for each competency item for each vector-converted word, and calculate a sum score for each competency item based on the scores and frequencies of words having similarities greater than or equal to a threshold value. can Here, the competency model processing unit 143 may set a predetermined threshold value for the number of frequencies, and may limit the same words detected above the predetermined threshold value from being repeatedly calculated.

Then, the competency model processing unit 143 normalizes the sum of the scores for each competency item using the score distribution information of the learning model data, and based on the normalized scores, the score information for each competency item is in the form of a vector. can be calculated as For example, score information for each competency item based on experience sentences may be calculated in a vector form such as [A1, A2 ... Aj].

Meanwhile, the propensity model processor 143 may calculate score information for each propensity item in the same manner as the capability model processor 143 . That is, the propensity model processing unit 142 may set core propensity words for each pre-set competency item, store the propensity model built based on this in the learning database 180, and use the word-vector converter 141 for user experience. When vector conversion word information corresponding to sentence information is input, a sum score for each propensity item may be calculated according to similarity calculation with the core propensity word.

Since the process is also processed similarly to the operation of the competency model processing unit 143, the propensity model processing unit 142 normalizes the summed score for each propensity item using the score distribution information of the learning model data, and normalizes Based on the processed score, score information for each propensity item is calculated in the form of a vector.

In addition, the job suitability model processing unit 144 may preset job-specific (or job-specific) capability vector and propensity vector demand information. Then, the job suitability model processing unit 144 applies the experience sentence-based competency vector information of the competency model processing unit 143 and the experience sentence-based propensity vector information of the propensity model processing unit 142 to the requested information to obtain scores for each job. can be calculated

In addition, the job suitability model processor 144 may further use basic user information provided from the job suitability information service providing apparatus 200 to calculate scores for each job. For example, the job suitability model processing unit 144 acquires necessary information such as necessary knowledge information for each occupation, necessary qualification information, and necessary department information from user basic information, and subtracts according to the presence or absence of the necessary information when calculating the job suitability score Post-processing may be performed.

In particular, the job suitability model processing unit 144 may utilize not only experience sentence information, but also user basic information such as major, qualification, gender, and age, and accordingly, similarity utilization weight information of the information used may be set. .

Accordingly, the calculated suitability information for each job, score information for each capability item, and score information for each propensity item may be output to the job suitability information service providing device 200 through the output unit 190 .

3 is a block diagram illustrating a service providing apparatus according to an embodiment of the present invention in more detail.

Referring to FIG. 3 , an apparatus 200 for providing job suitability information service according to an embodiment of the present invention includes a control unit 210, a communication unit 220, a user management unit 230, an experience information collection unit 240, and analysis data. It may include a processing unit 250, an interface processing unit 260, a service providing unit 270, and a storage unit 290.

The control unit 210 generally controls the execution of operations and functions of each component including service provision of the job suitability information service providing apparatus 200 . For example, the controller 210 may be a processor for controlling all or part of a function of providing analysis results of information collected from the user terminal 300 to the user terminal 300 through a job interface or a processor for executing the same. It can be implemented as a program for

And, the communication unit 220 is one or more communication modules that enable wired or wireless communication between the job suitability information service providing device 200 and a wireless communication system including a mobile communication network or an Internet network or between a network where the user terminal 300 is located. can include

Meanwhile, the user management unit 230 performs user registration and account management for one or more user terminals 300 using the service providing device 100 .

The user management unit 230 may receive and register basic information of a logged-in user from the user terminal 300, receive authentication information including at least one of account identification information and terminal identification information for registration, and Registration of user basic information may be processed using authentication information. The basic information registered here is provided to the above-described evaluation module 100 through the analysis data processing unit 250 and can be used for job suitability and suitability evaluation.

Accordingly, the user manager 230 may pre-register and manage information of the user's user terminal 300 .

In addition, the experience information collection unit 240 collects experience sentence information data corresponding to one or more pre-set query information through data channels connected to the user terminals 300, and analyzes the collected experience sentence information data to the analysis data processing unit. output as (250).

Here, the experience sentence information data may form basic analysis information provided to the evaluation module 100 from the analysis data processing unit 250 according to an embodiment of the present invention and processed. The experience sentence information data is, for example, web page text document data collected from the user terminal 300, experience voice information data collected from the user terminal 300, text data machine-converted from the voice information, or user It may be experience sentence data collected through an application installed in the terminal 300 .

The experience information collecting unit 240 may provide one or more query sentences to the interface processing unit 260 to collect such sentence data, and may process the job interface into which the one or more query sentences are input to be configured.

In addition, the experience information collection unit 240 may perform a service providing process so that a job interface inputting the query sentence is output to the user terminal 300 through the service providing unit 270 .

In addition, the analysis data processing unit 250 may provide the experience sentence information and basic information of the user to the evaluation module 100, and may obtain analysis data from the evaluation module 100, analysis data may include at least one of the aforementioned score vector information for each propensity item, score vector information for each capability item, and job suitability information.

And, the interface processing unit 260 may configure a job interface to be provided to the user terminal 300, and the job interface is a GUI (GRAPHIC USER INTERFACE) form such as a web interface through the user terminal 300 to provide a visual or auditory interface. can be output negatively.

In addition, the interface processing unit 260 may configure a variety of question and answer-based interface dashboards for a user-friendly job analysis information providing service,

The service provider 270 provides personal tendency analysis, personal capability analysis, job suitability analysis, recommended job information, and guide information requested by the user terminal 300 through the job interface, and the user terminal corresponding to the job interface Depending on the input of 300, various additional services may be provided.

Accordingly, the service providing unit 270 may receive a service request of the user terminal 300 through a job interface and provide an analysis service result corresponding to the service request through the job interface. These job interfaces and interworking services will be described later in detail with reference to FIGS. 5 to 11 .

On the other hand, the storage unit 290 includes one or more storage media for storing program information for the operation of the control unit 210 and the operation of the above-described components, and may include one or more databases for each purpose. there is.

5 is a flowchart illustrating in detail an operation method of an apparatus for providing job suitability information service according to an embodiment of the present invention.

Referring to FIG. 5 , the apparatus 200 for providing job suitability information service according to an embodiment of the present invention collects experience information when basic user information of the user terminal 300 is registered through the user management unit 230 (S101). Experience sentence information corresponding to pre-provided query information is received from the user terminal 300 through the unit 240 (S102).

Then, the job suitability information service providing device 200 provides experience sentence information to the evaluation module 100 connected to the analysis data processing unit 250 to perform text preprocessing corresponding to the experience sentence information (S103).

Accordingly, in the evaluation module 100, vector conversion based on sentence separation and word analysis of the preprocessed text information is processed (S105), and score calculation based on the competency model and propensity model based on the vector converted text information is processed. (S107), the competency score information and the propensity score information are applied to the job suitability model, and the job/job fit calculation is processed (S109).

Then, the job suitability information service providing apparatus 200 configures a job interface based on at least one of the calculated competency point information, propensity score information, and job suitability through the interface processing unit 260 (S111), configured An information providing service using a job interface is provided to the user terminal 300 (S113).

5 to 11 show job interface screens output from the user terminal 300 according to the service provision information of the job interface-based job suitability information service providing device 200 according to an embodiment of the present invention in more detail. is an example

First, FIG. 5 is an interface for inputting job information of interest that may be included in user basic information. The job suitability information service providing device 200 may receive job information of interest and transmit it to the evaluation module 100, and the evaluation module 100 The job suitability model processing unit 144 of ) may first calculate the job suitability by using job-specific competency vectors corresponding to the job information of interest when the job information of interest exists. However, the job suitability information service providing apparatus 200 may provide a function of calculating job suitability based on pre-set basic job information and recommending a job according to the job suitability even if the job suitability information is not set.

6 is an experience sentence information input interface including query sentence information according to an embodiment of the present invention, exemplarily 'Tell me the most memorable moment in my life', 'I set a goal for myself and achieved it. Do you have experience?' etc. are shown, but they can be set in various ways according to the setting of the learning model of the evaluation module 100, and a plurality of query items can also be configured.

Through this experience sentence information input interface, users can freely input their experiences in a variety of ways, which means that even if they do not use a separate standardized and time-consuming job inspection service, they can input various inclinations and competencies only by inputting their own experiences. The star score and job suitability can be confirmed.

In addition, the question sentences shown in FIG. 6 can also be diversified according to the advancement of the learning model, and since the accuracy is improved by accumulating learning data according to service use, the usability of future services can be further increased.

7 illustrates a score interface for each individual propensity item according to an embodiment of the present invention. Scores for each propensity item according to an embodiment of the present invention are mapped and output for each opposing keyword, such as extroversion/introversion, future/present, logic/emotion, planning/relaxation, self/others, collaboration/leading, for example. It can be. Each of these conflicting keywords may be a keyword preset in the propensity model processing unit 142 of the evaluation module 100, and a core propensity word corresponding to each keyword may be preset.

To output scores for each propensity item, the interface processing unit 260 of the job suitability information service providing device 200 inputs the vector scores for each propensity item obtained by the analysis data processing unit 250 into a preset conflicting keyword mapping table, A score interface for each propensity item as shown in FIG. 7 may be configured.

8 shows a propensity guide information interface corresponding to the score interface for each propensity item based on personal experience sentence information analysis shown in FIG. 7. The service provider 270 according to an embodiment of the present invention, A propensity guide information interface including at least one of recommended job/industry attribute information based on scores for each item, recommended company environment information, recommended job candidate information, accident type analysis information, and execution type analysis information is configured and transmitted to the user terminal 300. can provide

To obtain this information, the service providing unit 270 applies the analysis result data of the analysis data processing unit 250 to the guide information table pre-stored in the storage unit 290 to obtain guide information as shown in FIG. 8 . can do. In addition, the service provider 270 may request and obtain guide information corresponding to the analysis result data by accessing a separately set external guide server (not shown).

9 illustrates a score interface for each competency item based on personal experience sentence information analysis according to an embodiment of the present invention. The competency category is classified into adaptive competency group, behavioral competency group, and thinking competency group, and the calculated competency score for each classification competency category can be output through the score interface for each competency item.

The scores for each competency item according to the embodiment of the present invention are, for example, self-efficacy, self-management, internal motivation, emotional and ethical consciousness scores corresponding to the adaptive competency group, knowledge and information utilization, and critical thinking corresponding to the behavioral competency group. , creative thinking, complex problem solving, and global mind scores, and at least one competency keyword among collaboration, communication, resource management, presentation, and leadership corresponding to the thinking competency group may be mapped and output. Each of these competency keywords may be preset in the competency model processing unit 143 of the evaluation module 100, and a core competency word corresponding to each of the keywords may be preset.

Meanwhile, FIG. 10 illustrates a job recommendation interface according to an embodiment of the present invention.

Referring to FIG. 10 , the job recommendation interface according to an embodiment of the present invention may include a recommended job list including job suitability calculated according to the scores for each propensity item and the score for each competency item described above.

For example, as shown in FIG. 10 , recommended jobs may be displayed according to the job fit value, and the job fit may be displayed numerically, such as 'relationship with me'. In addition, through the job recommendation interface, the user terminal 300 may select and receive a 'View Details' button to receive information on jobs of interest to the user, input a like for a preferred job, or input an exclusion for a job that is not desired. etc. may be received and transmitted to the job suitability information service providing device 200 .

Accordingly, the job suitability information service providing device 200 can provide various job-related information services such as guide information corresponding to the request of the user terminal 300, which is a site for providing educational information, employment information, and qualification information. It may include interlocking functions with.

Meanwhile, FIG. 11 illustrates a detailed information interface based on job suitability according to an embodiment of the present invention.

Referring to FIG. 11, the apparatus 200 for providing job suitability information service according to an embodiment of the present invention provides job guide information such as job contents, related departments and knowledge, related skills and qualifications for an 'air transport clerk', and the Competency comparison information that is output as a comparison polygon graph by comparing job suitability information of a user of the user terminal 300 against a required competency corresponding to a job may be provided.

As shown in FIG. 11, competency keywords preset in response to the job of 'air transport clerk' may include knowledge information utilization, critical thinking, complex problem solving, self-management, and resource management.

Accordingly, the job suitability information service providing apparatus 200 according to an embodiment of the present invention recalls a competency polygon 305 having knowledge information utilization, critical thinking, complex problem solving, self-management, and resource management capabilities as vertices. It is shown on the interface, the personal competency information of the user of the user terminal 300 is shown in a first polygonal graph 301, and the corresponding job required competency information is shown in a second polygonal graph 303, so that job suitability can be intuitively identified by comparing them by competency.

In addition, the job suitability-based detailed information interface can calculate and provide a comprehensive job suitability compared to major competencies as a specific value, such as 48%, so that the user can very accurately check the job suitability compared to his or her ability.

In addition, through the job suitability-based detailed information interface, the job suitability information service providing device 200 can provide guide information for developing insufficient competencies, etc., and thus, a competency development target setting and confirmation service corresponding to insufficient competency information is also provided. Since it can be provided together, it is possible to clearly provide guide information that enables the user to perform the job he or she wants in the future, even if it is not suitable at present.

Meanwhile, the method according to various embodiments of the present invention described above may be implemented as a program and provided to each server or device in a state stored in various non-transitory computer readable media. Accordingly, the user terminal 100 may access the server or device and download the program.

A non-transitory readable medium is not a medium that stores data for a short moment, such as a register, cache, or memory, but a medium that stores data semi-permanently and can be read by a device. Specifically, the various applications or programs described above may be stored and provided in non-transitory readable media such as CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, and the like.

In addition, although the preferred embodiments of the present invention have been shown and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the present invention belongs without departing from the gist of the present invention claimed in the claims. Of course, various modifications are possible by those skilled in the art, and these modifications should not be individually understood from the technical spirit or perspective of the present invention.

Claims (19)

In the operating method of the job suitability information service providing device,
Collecting experience sentence information data corresponding to one or more query sentences provided to the user terminal through a service providing process in which a job interface capable of inputting experience sentences for the query sentence is output from the user terminal;
inputting the experience sentence information into a job fit calculation model in which an evaluation model is pre-built, and obtaining job fit calculated based on text analysis of the experience sentence information from the job fit calculation model; and
Providing job suitability guide information based on the job suitability to the user terminal using the job interface;
The evaluation module,
a competency model processing unit that calculates competency point information based on pre-set core competency words based on the experience sentence information;
a propensity model processing unit that calculates propensity score information based on pre-set core propensity words based on the experienced sentence information; and
A job suitability model processor configured to calculate the job suitability by inputting the competency score information and the propensity score information into the job suitability calculation model;
The evaluation module learns a similarity calculation result vector between a learning target experience sentence corresponding to a query to be provided to the user and a pre-set core competency word or core propensity word using a convolutional neural network, Constructed by previously performing processing for calculating competency point information and the propensity point information;
The step of obtaining the job fit,
pre-processing experience sentence information input in response to one or more query sentences provided through the job interface;
processing word-vector conversion corresponding to the pre-processed experience sentence information; and
Calculating the competency score information and the propensity score information by applying a similarity analysis result with the word-vector converted experience sentence information corresponding to a preset core competency word and core disposition word to the evaluation module,
The propensity score information includes score vector information for each propensity item,
The key propensity word includes a plurality of conflicting keywords for mapping and calculating the score vector information for each propensity item according to the similarity analysis, for each conflicting keyword;
The step of providing the guide information to the user terminal using the job interface,
inputting the score vector information for each propensity item into a preset conflicting keyword mapping table, and providing a score interface for each propensity item composed of scores for each propensity item mapped for each conflicting keyword to the user terminal through the job interface; ; and
Recommended job/industry attribute information, recommended company environment information, recommended job candidate information, accident type analysis information, and execution type analysis information using guide information obtained by applying the scores for each of the mapped propensity items to a pre-stored guide information table. Constructing a propensity guide information interface that includes, and providing it to the user terminal through the job interface
A method of operating a job suitability information service providing device. delete delete delete According to claim 1,
The competency score information includes score vector information for each competency item,
The core competency word includes a competency keyword classified into one or more classification competency categories in order to calculate a score for each competency item according to the similarity analysis.
A method of operating a job suitability information service providing device. According to claim 1,
Calculating job fit is,
Calculating a job suitability score for each job by applying at least one of the competency point information or propensity point information to preset job-specific competency requirement information or propensity request information
A method of operating a job suitability information service providing device. According to claim 6,
Calculating job fit is,
Obtaining necessary information including necessary knowledge information for each occupation, required qualification information, or required department information from user basic information corresponding to the user terminal user, and performing deduction processing of the job suitability score according to the presence or absence of the necessary information including doing
A method of operating a job suitability information service providing device. delete According to claim 1,
The step of providing the guide information to the user terminal using the job interface,
Corresponding to the competency polygon required for each job, constructing a polygon graph comparing individual competency point information of the user terminal user with required competency point information for each job, and providing the graph to the user terminal through the job interface. doing
A method of operating a job suitability information service providing device. In the job suitability information service providing device,
an experience information collection unit that collects experience sentence information data corresponding to one or more query sentences provided to the user terminal through a service providing process that outputs a job interface capable of inputting experience sentences for the query sentences to the user terminal;
an analysis data processing unit inputting the experience sentence information into a job suitability calculation model in which an evaluation module is pre-built, and acquiring job suitability calculated based on text analysis of the experience sentence information from the job suitability calculation model; and
A service provider providing job suitability guide information based on the job suitability to the user terminal using the job interface;
The evaluation module,
a competency model processing unit that calculates competency point information based on pre-set core competency words based on the experience sentence information;
a propensity model processing unit that calculates propensity score information based on pre-set core propensity words based on the experience sentence information; and
A job suitability model processor configured to calculate the job suitability by inputting the competency score information and the propensity score information into the job suitability calculation model;
The evaluation module learns a similarity calculation result vector between a learning target experience sentence corresponding to a query to be provided to the user and a pre-set core competency word or core propensity word using a convolutional neural network, It is constructed by performing processing to calculate competency point information and the propensity point information in advance,
The capability model processing unit,
preprocessing the experience sentence information input corresponding to one or more query sentences provided through the job interface, processing word-vector conversion corresponding to the preprocessed experience sentence information, and corresponding to a preset core competency word, Calculating the competency score information according to similarity analysis using the evaluation module with word-vector converted experience sentence information;
The propensity model processing unit,
Pre-processing the input experience sentence information corresponding to one of the query sentences provided through the job interface, processing word-vector conversion corresponding to the pre-processed experience sentence information, and corresponding to a preset key propensity word, Calculating the propensity score information according to similarity analysis using the evaluation module with the word-vector converted empirical sentence information;
The propensity score information includes score vector information for each propensity item,
The key propensity word includes a plurality of conflicting keywords for mapping and calculating the score vector information for each propensity item according to the similarity analysis, for each conflicting keyword;
The service provider,
inputting the score vector information for each propensity item into a preset conflicting keyword mapping table, and providing a score interface for each propensity item consisting of scores for each propensity item mapped for each conflicting keyword to the user terminal through the job interface; Recommended job/industry attribute information, recommended company environment information, recommended job candidate information, accident type analysis information, and execution type analysis information using guide information obtained by applying the scores for each of the mapped propensity items to a pre-stored guide information table. Constructing a propensity guide information interface including, and providing it to the user terminal through the job interface
A device for providing job suitability information service. delete delete delete According to claim 10,
The competency score information includes score vector information for each competency item,
The core competency word includes a competency keyword classified into one or more classification competency categories in order to calculate a score for each competency item according to the similarity analysis.
A device for providing job suitability information service. According to claim 10,
The job suitability model processing unit,
Calculating a job fit score for each job by applying at least one of the competency point information or the propensity point information to the preset job-specific competency requirement information or propensity request information
A device for providing job suitability information service. According to claim 15,
The job suitability model processing unit,
Obtaining necessary information including necessary knowledge information for each occupation, required qualification information, or required department information from user basic information corresponding to the user terminal user, and performing deduction processing of the job suitability score according to the presence or absence of the necessary information doing
A device for providing job suitability information service. delete According to claim 10,
The service provider,
Corresponding to the competency polygon required for each job, constructing a polygon graph that compares the individual competency point information of the user terminal user with the required competency point information for each job, and providing it to the user terminal through the job interface
A device for providing job suitability information service. A non-volatile recording medium on which a program for executing the method according to any one of claims 1, 5 to 7, and 9 in a computer is recorded.

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