KR20210055403A - System and method for providing job matching based on location - Google Patents

Abstract

The present invention discloses a location-based job recommendation system and a method. More specifically, the present invention relates to a location-based job recommendation system and a method, wherein based on blockchain technology, companies which are jobseekers and individuals who are jobseekers share information through smart contracts, and match each other according to location information between companies and jobseekers. According to an embodiment of the present invention, provided are the location-based job recommendation system and the method, which can allow the jobseeker to have sovereignty over jobseeker's personal information regarding employment information, and in return for this, to obtain a transaction fee traded in personal information including resume and job advertisement data information.

Description

Location-based job recommendation system and method {SYSTEM AND METHOD FOR PROVIDING JOB MATCHING BASED ON LOCATION}

The present invention relates to a job recommendation system, and in particular, a location-based job in which a company as a job seeker and an individual as a job seeker share information through a blockchain network based on blockchain technology, and match each other according to the location information between the company and the job seeker. It relates to a recommendation system and method.

The recruitment system using the existing job site can be said to be a method of unilaterally distributing information by receiving information from individuals seeking employment and companies seeking employment.

According to the currently commercialized hiring method, information is unilaterally distributed on the Internet job site by posting job announcements online and providing job seekers with resume information so that they can be viewed by companies.

The existing hiring system has a limitation in that the hiring process is simple and that it is a one-way service focusing on simple advertisement exposure according to the process of providing and using information that is straightforward and one-way. In other words, there is a limit in that information participation and sharing between companies and job seekers is limited, and accordingly, when recommending by linking the job announcement of the company and the simple resume of the job seeker, the probability of mismatching was high, and the practical job-seeking recommendation function played a role. It is a situation that cannot be done.

That is, in the conventional system, it can be said that information input by an individual who wants to find a job cannot provide any value before the final employment. When searching for individual resumes, the amount paid by companies cannot be communicated to individuals, and it has been attributed to job sites that are merely distributing information.

In addition, in a hiring system using an existing job site, a job seeker must post a resume and passively wait for a contact from the company. Also, in the case of companies, they have to post a job posting and wait for the job seekers to apply.

However, from the point of view of the job seeker, when submitting a resume, there are cases in which it is only put in the company that they want to go to, but there are cases when they do not want to go, but in some cases, they submit a resume in case they do not want to go. In this case, there are cases in which you have to bear the inconvenience caused by the disclosure of information. In addition, even when searching for job offer information, since the search is performed according to the core competency or qualification conditions, the place of residence or the desired region is not reflected in the search results at all, and therefore, re-search or separate search is often required.

KR 2010-0095132 A

The present invention is derived from such a background, and an object of the present invention is to provide a location-based job recommendation system capable of recommending a job by matching job information and job search information based on location data.

In order to solve the above-described problem, a location-based job recommendation system according to a preferred embodiment of the present invention is a location-based job recommendation system including a job-seeking recommendation server that recommends job seekers and inter-company jobs, wherein the job-seeking The recommendation server collects the job seeker information and job search information uploaded to the blockchain network from the job seeker terminal used by the job seeker and the company terminal used by the company to form a database, and based on the job search information and the location information included in the job search information, companies and job seekers May be matched, and according to the matching result, recommended information may be generated and provided to the job seeker's terminal and the company's terminal.

The job offer-job recommendation server includes: a server participation unit for participating in the block chain network as a node to obtain one or more blocks in which the job search information and job search information are recorded, a job information collection unit for extracting job information from the block, A job search information collection unit that extracts job search information from the block, a server database that categorizes and stores the extracted job information and job search information by member, and locates job seekers and companies according to the location information included in the job search information and job search information. The location determination unit that determines, targets one or more job seekers and companies located within a specified distance, generates a matching unit that matches each other according to the job search and job search conditions, and recommended information on the matched job seekers and companies, and generates the job seeker terminal and It may include a recommendation unit for transmitting the recommendation information.

When providing location information for the job seeker is not selected, the matching unit may attempt matching using only job-seeking or job-seeking-related data other than the location information.

The above recruitment conditions include one or more of the career, salary, education, work type, age, gender, working date, and location information for the job seeker. Including one or more requirements among working date and time and location information, and the job-seeking recommendation server, for job seekers and companies whose positions are matchable ranges, quantify a plurality of the above requirements, respectively, and for each numerical requirement Job seekers and companies whose total result obtained by multiplying the weights input by the job seekers and companies is equal to or less than the reference value may further include a filtering unit that is excluded from matching.

The job-seeking recommendation server includes a member management unit that performs a member management function including a member registration and withdrawal procedure, and the member management unit is connected to a social network service (SNS) server connected through a general network. Posts on the SNS page operated by the registered job seeker may be collected and the contents of the post may be reflected in the job search information of the job seeker.

Posts on the SNS page may be public or private to the enterprise according to the settings of the job seeker.

In addition, in the method of recommending a job by a location-based job recommendation system according to another aspect of the present invention for solving the above-described problem, the job seeker terminal and the enterprise terminal each participate as a node of the blockchain network to find a job. Uploading information and job offer information, the blockchain network executing chain code to verify the job search information and job offer information, and recording the verified job search information and job search information in each block, job offer-job recommendation server A, the step of downloading the block by participating as a node of the block chain network, the job-seeking recommendation server extracting job information and job search information included in the block to form a database, the job-seeking recommendation Matching by the server, the company and the job seeker based on the location information included in the job search information and the job search information, and the job-seeking recommendation server generates recommendation information according to the matching result and provides it to the job seeker terminal and the company terminal. It may include steps.

The step of matching the company and the job seeker based on the job search information and the location information included in the job search information, by the job offer-job recommendation server, includes, when providing location information for the job seeker is not selected, other jobs excluding the location information Alternatively, it may include attempting to match using only job-related data.

The step of matching, by the job-seeking recommendation server, the company and the job seeker based on the job information and the location information included in the job search information, may include job search information and job search information for job seekers and companies whose positions are within a matchable range. The step of digitizing a plurality of requirements included in each of the digitized requirements and the step of excluding job seekers and companies whose total result values added by multiplying the weights input by the job seekers and companies for each digitized requirement is less than or equal to the reference value from matching.

The step of matching the company and the job seeker based on the job search information and the location information included in the job search information by the job offer-job recommendation server comprises: connecting to an SNS server through a general network, and the job seeker registered from the SNS server It may include collecting the posts on the operated SNS page and reflecting the contents of the post to the job seeker's job search information.

Posts on the SNS page may be public or private to the enterprise according to the settings of the job seeker.

According to the present invention, it is possible to recommend a job by matching job information and job search information based on the job-seeker's location information.

In addition, the blockchain-based location-based job recommendation system according to an embodiment allows the job seeker to have sovereignty over the job seeker's personal information regarding employment information, and as a counter benefit, personal information including a resume and job posting data information It has the effect of securing the transaction fees traded in.

Furthermore, it is possible to provide a location-based job recommendation system that can secure security, transparency, and reliability that can activate job seeker recommendation and compensation for job postings by systematizing a human network.

1 is a diagram showing the overall structure of a location-based job recommendation system according to an embodiment of the present invention.
2 is a diagram showing the structure of a distributed application included in the location-based job recommendation system according to an embodiment of the present invention.
3 is a diagram showing the structure of a job-seeking recommendation server included in a location-based job recommendation system according to an embodiment of the present invention.
4 is a diagram illustrating a method of recommending a job by a system for recommending a job based on a location according to an embodiment of the present invention.
5 to 6 are diagrams showing an example of a service screen provided by the location-based job recommendation system according to an embodiment of the present invention.

When a part of the specification says that a certain component is "equipped" or "included", it means that other components may be further included rather than excluding other components unless otherwise stated. In addition, terms such as "... unit", "... server" and "... system" described in the specification refer to units that process one or more functions or operations. It means, and this may be implemented in hardware, software, or a combination of hardware and software.

In addition, in the present specification, the term "example" means serving as an illustration, example, or illustration, but the subject of the invention is not limited by such an example. In addition, "comprising", "having", "having" and other similar terms are used, but when used in the claims, "included" as an open transition word that does not exclude any additional or other elements. It may be used generically in a manner similar to the term "comprising".

The various techniques described herein may be implemented with hardware or software, or, where appropriate, with a combination of both. As used herein, terms such as "...unit", "...server" and "...system" are likewise a computer-related entity, i.e., hardware , It can be treated as a combination of hardware and software, software or equivalent to software at the time of execution. In addition, each function executed in the program of the present invention may be configured in a module unit, and may be recorded in one physical memory, or distributed between two or more memories and a recording medium.

In the following description, the term "location-based job recommendation system" may be abbreviated as "job recommendation system" or "system" for convenience of description.

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

1 is a diagram showing the overall structure of a location-based job recommendation system according to an embodiment of the present invention.

Referring to FIG. 1, the location-based job recommendation system according to an embodiment of the present invention includes a plurality of job seeker terminals 10 located in each region, a company terminal 20, and a job seeker terminal 10 and a company terminal through a blockchain network. It may include a job-seeking recommendation server 100 that is connected to (20) and provides recommendation information by matching a job seeker and a company.

The job seeker terminal 10 is possessed by an individual who wants to find a job, and may share job search information including personal resumes with the corporate terminal 20 through the job-seeking recommendation server 100 in the form of a block chain.

As part of the system of the present invention, the job seeker terminal 10 uploads job search information to the blockchain network 200 and requests execution of the chain code as a node 210 of the blockchain network 200. Having the status of a miner to verify the transaction according to the job search information by requesting to record his or her job search information on the block of the blockchain network 200 and performing data mining on the data requested from other nodes. And block verification for recording job offer information. In addition, when data mining is successful, a predetermined token can be provided as a reward.

These tokens can be used as a payment method in the uploading fee of job search information and other externally linked systems.

In particular, the job search information according to the embodiment of the present invention may further include not only a personal resume, but also location information of the job seeker according to the current location of the job seeker terminal 10, and such location information may be used when matching with a company in the future. have.

The enterprise terminal 20 can be used by the hiring manager of each enterprise. Like the job seeker terminal 10, the corporate terminal 20 can also install and run a distributed application, through which it can request uploading of job applicant information, has the status of a miner, and performs a block verification role of job search information and job search information. can do. In addition, you can receive tokens when data mining is successful.

As the above-described job seeker terminal 10 and enterprise terminal 20, PCS (Personal Communication System), GSM (Global System for Mobile communications), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant) , International Mobile Telecommunication (IMT)-2000, Code Division Multiple Access (CDMA)-2000, W-Code Division Multiple Access (W-CDMA), Wireless Broadband Internet (Wibro) terminal, smartphone, smartpad ), all kinds of handheld-based wireless communication devices, such as a tablet PC, and a computing device such as a stationary PC and a notebook computer.

The job search-job recommendation server 100 collects job search information and job search information uploaded to the blockchain network 200 from the job seeker terminal 10 used by the job seeker and the company terminal 20 used by the company to form a database, and recruitment information And matching the company and the job seeker based on the location information included in the job search information, and generating recommendation information according to the matching result to provide the job seeker terminal 100 and the company terminal 20.

Specifically, the job-seeking recommendation server 100 participates in the blockchain network 200 as a node 210, and when job search information and job information are uploaded, the information is collected to match the job seeker and the company.

Users who download a distributed application from the system of the present invention and participate in the blockchain network 200 are called nodes (Nodes, 210), and these nodes 210 are connected to each other to increase computing power (the sum of the computing power of the CPU or graphics card). By providing, it performs the work of recording information transmission records in the blockchain through verification and hashing of transactions, that is, information upload. In one embodiment, personal information such as a resume of an individual who wishes to find a job, and location information, and employment information of a company may be decentralized and stored in the blockchain.

The blockchain network 200 executes a chain code for uploading job search information and job search information, thereby directing the overall operation required to decentralize and store job search information and job information on a block.

Tokens may be generated probabilistically in proportion to the computing power (Hash) provided by each node implemented as the job seeker terminal 10 and the enterprise terminal 20 and distributed to the participants who succeeded in data mining.

As an example, in the case of Bitcoin as a cryptocurrency, which is the most widely known service method in blockchain technology, a new block is created every 10 minutes, which is a collection of all the transmission records made in the entire network for 10 minutes and encrypted. Blockchain is the cumulative record of each of these blocks. In conclusion, blockchain can be understood as a distributed ledger that is a collection of cryptocurrency transactions from the beginning to the present.

Such a blockchain is a distributed application connected to it, that is, job seekers and enterprises are continuously synchronized and their computers and blockchains on the network are synchronized.A job seeker or enterprise records information on the blockchain network 200. Upon request, the neighboring nodes 201 sequentially receive the corresponding transmission request and record that this is the correct transmission request in the blockchain.

Therefore, it can be said that in the case of applying blockchain technology, the indetermination of the information is guaranteed.

In addition, according to an embodiment of the present invention, it is possible to verify the identity by establishing a strong network with various public institution information providing public information and a personal authentication authority if necessary.

As an example, it is possible to secure strong identity by blocking and recording educational background information and career information of individuals who wish to find a job. This identity guarantee has the advantage that anyone cannot easily forge or alter it due to the nature of an irreversible block chain. If the job seeker corrects or updates personal information recorded on the blockchain, all the details are recorded in the block, so not only others but also themselves cannot write wrong information. The same applies to companies as well.

In addition, it is possible to provide strong security against large-scale hacking by applying the distributed data storage technology of blockchain technology to personal and sensitive information.

The job offer-job recommendation server 100 can periodically extract information recorded in the blockchain network 200 and analyze the location information included therein to find necessary information, and can connect the job seeker and the company to each other based on the location information. You can match.

Meanwhile, the job-seeking recommendation server 100 according to an embodiment of the present invention may be connected to an external SNS server 400 through a separate general network 300 to utilize the actions of job seekers for corporate matching. As an example, job seekers can perform various types of social media activities, and such job seekers’ social media activities can serve as an indicator for determining personal interests, character, and relationships that are not included in a resume, and job-seeking recommendation servers (100) can utilize such job seekers' SNS activities for matching with companies. Here, SNS activities may be collected only within a range open to the public, which does not infringe on privacy, and the collection range may be determined within the range of complying with relevant laws and regulations.

Hereinafter, a distributed application included in the location-based job recommendation system according to an embodiment of the present invention will be described in detail with reference to the drawings.

2 is a diagram showing the structure of a distributed application included in the location-based job recommendation system according to an embodiment of the present invention. In the following description, the distributed application 50 and each component constituting the same may be implemented in the form of a computer program executable by a known microprocessor, recorded on a recording medium capable of reading and writing, and mounted on each terminal.

Referring to Figure 2, the distributed application 50 of the location-based job recommendation system according to an embodiment of the present invention, a terminal participant 51 that requests to upload job search information or job search information by accessing the blockchain network, the current The location information acquisition unit 52 that detects the location of the job seeker's terminal or the company's terminal, in the case of job seekers, a job search application including a personal resume, self-introduction, etc., or in the case of a company, writing a job application including a company introduction, recruitment field and contents An application creation unit 53 that provides tools, a job-seeking application unit 54 that requests uploading of the created application to the blockchain network, and data mining by consuming computing resources for transactions currently broadcast on the blockchain network. It may include a terminal mining unit 55 to perform and a token management unit 56 that manages the details of tokens paid or used from the blockchain network upon successful mining.

The terminal participant 51 may perform a function of requesting execution of a chaincode as a participant, while the job seeker terminal and the enterprise terminal access the blockchain network to have the status of a node. Such a terminal participation unit 51 may request the execution of a chain code that records job search information or job search information generated at the request of the job-seeking application unit 54 on the blockchain, and the blockchain network Blocks can be verified upon execution, and new blocks can be added to connect to the final blockchain.

The location information acquisition unit 52 may obtain the location information of the current terminal with reference to a GPS, etc. so that the location of the job seeker or company is reflected in each information when job search information or job information is generated. Such location information may be a GPS module mounted in the terminal or coordinates provided from an information communication network, and the location information acquisition unit 52 acquires location information according to whether access to location information is permitted.

The application preparation unit 53 may provide a writing tool for a user to write an application for job search and job search. Such a writing tool has the form of a well-known text editor, and serves to provide an environment in which a resume or job application can be written on a terminal by receiving text and images.

Job seekers can fill out a job application form including personal resumes and self-introductions through the document editing function supported by the work tool on the terminal, and the manager of the company also fills out a job application including a company introduction, employment field and contents. I can.

The job-seeking application unit 54 may request the completed job application and job search application to be submitted to the blockchain network through the terminal participation unit 51. When an application is requested to be uploaded, the blockchain network executes a predefined chain code to authenticate the recruiter or company who submitted the application, and broadcasts to each node to request mining.

The terminal mining unit 55 may participate in data mining by consuming computing resources for a broadcasted transaction as a transaction for uploading an application occurs. While the terminal mining unit 55 provides compensation accordingly, as the terminal consumes considerable computing resources, the user can separately set whether to participate in data mining.

The token management unit 56 may provide a function of managing tokens that are paid as a price for providing computing resources for data mining. This token management unit 56 corresponds to an electronic wallet in the field of cryptocurrency, and a job seeker or a business entity can provide a fee for the use of the service as a token, and these tokens can be acquired as a reward for data mining or in a separate method. It can be acquired and charged.

Specifically, according to the service platform according to an embodiment of the present invention, since an individual has sovereignty over personal information, a business entity purchases a token provided by the platform for viewing and contacting the personal information desired to find a job. You can pay.

In one embodiment, the reward token is a concept of incentives for the personal information of the job seeker, and the job offer-job recommendation server receives the personal information of the job seeker from the terminal of the company, and provides the personal information to the job-seeker terminal for participation. It can be designed to be paid as a reward or as a reward used to close the recruitment to the recommender terminal.

A utility token is a token that has utility as it is in the word utility. In other words, a utility token can be said to be a token used for the purpose of using a certain service or system. As a means of paying decentralized computational costs, it can be said to be a token designed to be used as a reward for producers and payment for consumption by accessing various services. In other words, it can be said to be useful in that it connects assets on the web with real assets.

According to another aspect of the present invention, when an individual who wants to find a job fails to attend an interview even though he or she expresses his intention to participate in the interview in response to an interview request from a specific job search company, the You can proceed with a chain code that refunds the tokens paid as viewing rights back to the company.

Chaincode is a type of smart contract that records in the blockchain and automatically executes a contract when conditions are met.When the contract is executed with an existing document written in a document, there is a concern that problems such as unexpected damage or loss of the contract may occur. In addition, it is a method of creating a contract using computer commands by compensating for the shortcomings that take time to execute the contract, such as writing an actual contract.

In one embodiment, the reward token may be implemented in a form that is initially sold to people who wish to purchase in advance through an ICO. Since it is a utility token that runs on the service platform, it is desirable to be designed in the concept of rewards for participation and utilization, as it is actually a concept of incentives for personal information.

Specifically, there may be 1 token that a job seeker receives when viewing and contacting the personal information of a job seeker, 2 tokens that are received when participating in an interview, and 20 tokens that are received when recruitment is successful.

Since the moment of decision that occurs in the overall hiring process is rewarded with reward tokens, it is desirable to calculate this and design in such a way that the amount of token issuance increases with time.

The location-based job recommendation system according to an embodiment of the present invention enables a job seeker to upload personal information including his or her resume, and a company to check the provided personal information to hire a job seeker suitable for recruitment criteria. In addition, the cost of reading personal information is provided, and the promised cost is paid in the form of tokens according to the hiring decision after the interview.

Hereinafter, a job-seeking recommendation server of a location-based job recommendation system according to an embodiment of the present invention will be described in detail with reference to the drawings.

3 is a diagram showing the structure of a job-seeking recommendation server included in a location-based job recommendation system according to an embodiment of the present invention.

Referring to FIG. 3, the job offer-job recommendation server 100 of the location-based job recommendation system according to the embodiment of the present invention participates as a node in the blockchain network 200 to record at least one job search information and job search information. Server participation unit 110 to obtain a block, job information collection unit 120 to extract job information from the block, job search information collection unit 130 to extract job search information from the block, extracted job information and job search information as members A server database 140 that is classified and stored by each, a location determination unit 150 that determines the location of job seekers and companies according to the location information included in job search information and job search information, and targets one or more job seekers and companies located within a specified distance. As a result, the matching unit 160 matching each other according to the job search condition and the job search condition, the recommendation unit 170 for generating the matching job seeker and company recommendation information, and transmitting the job seeker terminal and the recommendation information, and member registration And a member management unit 180 performing a member management function including a withdrawal procedure, and for job seekers and companies whose locations are matchable, a plurality of the above requirements are each quantified, and the job seekers and companies Job seekers and companies whose total result value added by multiplying the input weight is less than or equal to the reference value may include a filtering unit 190 that is excluded from matching.

The server participation unit 110 may access the block chain network 200 and participate as a node to obtain job search information and job search information recorded in the block. In addition, the server participation unit 110 is a job-seeking matching service, and may match job seekers and companies by analyzing acquired information.

The job search information collection unit 120 and the job search information collection unit 130 can read from the block chain network 200 a block in which job information and job search information uploaded from the corporate terminal and the job seeker terminal are recorded, respectively, and from the block Job information and job search information can be extracted.

In particular, since the job search information contains sensitive personal information, the job search information collection unit 130 should only collect job search information within the permitted range based on the personal information agreement previously approved by the job seeker. In addition, when the job seeker succeeds in finding a job or sets the job search information to be private due to abandonment, the job search information collection unit 130 may temporarily stop the collection of job search information related to the job seeker.

The job search information and job search information collected by the job search information collection unit 120 and the job search information collection unit 130 may be stored for each company and job seeker, respectively.

The location determination unit 150 serves to determine the job-seeking location of each company and job seeker according to the extracted job information and the location information included in the job search information. In the system according to the embodiment of the present invention, the location information added by the terminal is automatically inserted into the job search information and the job search information at the time the current location, job information, and job search information are uploaded, or the job desired location separately defined in the information. The location information may be specified based on this, and the location determination unit 150 determines the location based on this.

The matching unit 160 may preferentially match the job seeker and the company within a specified distance based on the location information. If the provision of location information for the job seeker is not selected, the matching unit 160 may attempt matching using only job-seeking or job-seeking-related data excluding the location information.

The recommendation unit 170 may generate and transmit recommendation information for hiring the job seeker and the company, respectively, to a company and a job seeker with respect to one or more matching cases by the matching unit 160.

In addition, the recommendation unit 170 may provide one or more job search information according to the requirements suggested by the company among the previously extracted job seekers at the request of the company terminal. In the case of using such a function, the company may provide the token to the job search-job recommendation server 100, and the token may be provided to the job seeker.

The member management unit 180 may perform a membership registration procedure for job seekers and companies who wish to use the service platform of the present invention, and provide a management function for member information.

In particular, according to an embodiment of the present invention, the member management unit 180 collects posts on an SNS page operated by a job seeker registered in a social network service (SNS) server connected through a general network, The contents can be reflected in job seekers' job search information.

In other words, based on the personal information of users secured based on social media such as Facebook, Instagram, etc., which are publicly known social media, we analyze the propensity that reflects the values, interests, and occupations of individuals who wish to find a job to determine personal disposition. It is possible to provide the right job information.

Job-seeking server 100 is based on the posts collected from the SNS server 400 connected through a general network, the personality, experiences, stories, specialties, hobbies, dispositions, interests, majors, personal activities, It is possible to analyze at least one item among credits, academic background, friend relations, and politics.

According to this aspect, it is also possible to establish a community based on similar interests for those who wish to interact with people with similar dispositions by mapping the dispositions of individuals who wish to find a job. Accordingly, there is an effect of forming a job study among people with similar dispositions or forming a community such as a job club.

Meanwhile, the job search-recommendation server 100 according to an embodiment of the present invention may further include a filtering unit 190 for providing more satisfactory matching results to each other in matching job seekers and companies. .

Specifically, the job search information may include one or more job requirements among career, salary, educational background, work type, age, sex, working date, and location information for the job seeker. One or more job search requirements may be included among the desired work place, desired work date and time, and location information, and the job search-job recommendation server 100 may perform matching in consideration of these requirements further.

In particular, the filtering unit 190 quantifies a plurality of the above requirements, respectively, for job seekers and companies whose positions fall within a range in which each other's positions can be matched, and multiplies and adds the weights input by the job seekers and companies for each numerical requirement. Job seekers and businesses below this threshold can be excluded from matching.

Hereinafter, a method for recommending a job using a location-based job recommendation system according to an embodiment of the present invention will be described with reference to the drawings.

4 is a diagram illustrating a method of recommending a job by a system for recommending a job based on a location according to an embodiment of the present invention.

Referring to FIG. 4, according to a method for recommending a job by a location-based job recommendation system according to an embodiment of the present invention, a job seeker terminal 10 who wants to find a job uploads job search information to the blockchain network 200, or The enterprise terminal 20 used by the hiring manager of the company uploads the job offer information to the blockchain network 200 (S100), so that the job search or employment announcement is shared with others in the form of a blockchain.

Accordingly, the blockchain network 200 records job search information and job offer information in a block by executing a predefined chain code to perform data mining and verification for the job search information and job information uploaded (S110). Here, a node that successfully participates in data mining can receive a token as a reward for it.

Next, the job offer-job recommendation server 100 extracts the job search information and job offer information recorded in each block (S130), and extracts various information required for matching, such as business type and working conditions, including location information therefrom. Job seekers and companies that are in the same region or have suitable business types and working conditions are matched with each other (S140).

Specifically, the job-seeking recommendation server 100 finds necessary information by changing the job search information and the job posting data from the job posting information into a desired form and analyzing it. To this end, the job-seeking recommendation server 100 may classify, summarize, and analyze from various dimensions and viewpoints related to recruitment through a tool that analyzes information.

As an example, the analysis tool analyzes the history, skills, qualifications, job abilities, professional skills, and recommended items of acquaintances of the resume included in the job search information, and details such as whether it is active, progressive, conflicting, or passive. By performing an evaluation according to the item, you can grasp the personality or disposition of an individual who wants to find a job.

In addition, based on the job offer information uploaded by the company, it analyzes the company's propensity and desired talent. And you can grasp the criteria for detailed items such as whether the desired talent is active, progressive, conflicting, or passive.

And, based on the job search information, whether the personality, disposition, and talent of the job seeker who wants to find a job match is matched by evaluation items and compared. Accordingly, job seekers with high matching degree can be recommended to specific companies. At this time, location information of job seekers and companies may be used preferentially.

The location-based job recommendation system using the block chain technology according to the embodiment of the present invention allows the job seeker to have sovereignty over job search information related to employment information, and as a counter benefit to this, personal information including a resume and job posting data are traded in the market. The transaction fee can be secured.

Then, by transmitting recommendation information on recruitment to each of the terminals 10 and 20 of the job seekers and companies matched with each other, the screening and interview are performed (S150).

In particular, in the location-based job recommendation system according to an embodiment of the present invention, the job seeker uploads job search information including his or her resume to the blockchain network, and the job seeker checks the recommendation information to recruit job seekers suitable for the recruitment criteria. I can. In addition, the job seekers can be operated in the form of providing access fees for job search information and paying the promised fees in the form of tokens according to the hiring decision after the interview.

If the job seeker fails to attend the interview even though he or she has expressed his intention to participate in the interview in response to the interview request of a specific job seeker You can proceed.

In addition, according to an additional aspect of the present invention, posts uploaded to the account of an individual who wants to find a job from a social network service/sites (SNS) server are collected, and the contents of the job seeker's disposition included in the collected posts are collected. By reflecting more on job search information, companies can obtain additional reference information in selecting job seekers.

Hereinafter, the technical idea of the present invention will be described in detail through an example of a service screen provided by the location-based job recommendation system according to an embodiment of the present invention with reference to the drawings.

5 and 6 are diagrams illustrating an example of a service screen provided by the location-based job recommendation system according to an embodiment of the present invention.

Referring to FIG. 5, according to an embodiment of the present invention, the location-based job recommendation system according to an embodiment of the present invention may include a distributed application installed and executed on a job seeker terminal, and such a distributed application is executed in a block chain. They can participate in the network, and job seekers can upload and input job search information through the terminal.

To this end, the distributed application can provide a GUI for receiving the contents included in the job search information, and the job search information input by the user includes the job seeker's own photo, name, date of birth, business type, desired salary and career information, etc. There is this. Here, the input information may be added or excluded according to the intention of the job seeker.

In addition, the job search information may include a self-introduction letter stored in the form of a separate document file in the job seeker's terminal, and the distributed application may read the corresponding file and add it to the job search information according to the job seeker's settings.

In addition, the job search information includes location information obtained by the current job seeker terminal, and such location information may be input in the form of GPS coordinates and inserted into job search information.

When the input of job search information in the illustrated form is completed, the distributed application may upload job search information to the blockchain network and request chain code execution to add it to the block at the same time.

Referring to FIG. 6, in addition to the above-described job search information upload function, the distributed application according to an embodiment of the present invention may receive and display recommendation information including matching results for one or more companies matched to a corresponding job seeker.

This recommendation information is a result of matching job search information and job search information by the system, and may be provided to the job seeker terminal in the form of a list of a plurality of companies matched to the job seeker.

In particular, the above-described matching list can be displayed on the screen by being arranged in the order of the companies adjacent to the job seeker and the company, according to the location of the job seeker and the company, and the user selects the detailed view function of the company to be checked according to the intention. I can confirm.

Although many items are specifically described in the above description, this should be construed as an example of a preferred embodiment rather than limiting the scope of the invention. Therefore, the invention should not be determined by the described embodiments, but should be determined by the claims and equivalents to the claims.

10: job seeker terminal 20: company terminal
50: distributed application 51: terminal participant
52: location information acquisition unit 53: application preparation unit
54: Recruitment-Job Application Department 55: Terminal Mining Department
56: Token management unit 100: Job-seeking recommendation server
110: server participation unit 120: job offer information collection unit
130: job search information collection unit 140: server database
150: position determination unit 160: matching unit
170: recommendation department 180: member management department
190: filtering unit 200: blockchain network
210: node

Claims (11)

As a location-based job recommendation system including a job-seeking recommendation server that recommends job seekers and inter-company jobs,
The job offer-job recommendation server,
Collecting the job search information and job search information uploaded to the blockchain network from the job seeker terminal used by the job seeker and the company terminal used by the company to form a database,
A location-based job recommendation system for matching companies and job seekers based on the job search information and location information included in the job search information, generating recommendation information according to the matching result, and providing them to the job seeker terminal and the company terminal. The method of claim 1,
The job offer-job recommendation server,
A server participation unit that participates in the blockchain network as a node and obtains one or more blocks in which the job search information and job search information are recorded;
A job offer information collection unit for extracting job information from the block;
A job search information collection unit for extracting job search information from the block;
A server database that categorizes and stores the extracted job search information and job search information for each member;
A location determination unit that determines the location of the job seeker and the company according to the location information included in the job search information and the job search information;
A matching unit that targets one or more job seekers and companies located within a specified distance and matches each other according to job search conditions and job search conditions; And
A recommendation unit that generates recommendation information for matched job seekers and companies, and transmits the job seeker terminal and the recommendation information
Location-based job recommendation system comprising a. The method of claim 2,
The matching unit
When providing location information for job seekers is not selected, a location-based job recommendation system that attempts matching using only job-seeking or job-seeking-related data other than the location information. The method of claim 2,
The above recruitment conditions include one or more of the career, salary, educational background, work type, age, gender and date of work, and location information for the job seeker, and
The above job search conditions include one or more of the business type, desired annual salary, desired working place, desired working date and location information for the enterprise, and
The job offer-job recommendation server,
For job seekers and companies whose positions fall within the range that can be matched, each of the above requirements is quantified, and the total result obtained by multiplying the weights input by the job seekers and companies for each numerical requirement is equal to or less than the standard value. Filtering part excluded from
Location-based job recommendation system further comprising a. The method of claim 2,
The job offer-job recommendation server,
Includes a member management unit that performs member management functions including member registration and withdrawal procedures,
The member management unit,
A location-based job recommendation system that collects posts on an SNS page operated by a job seeker registered on a social network service (SNS) server connected through a general network and reflects the contents of the post to the job search information of the job seeker. The method of claim 5,
Posts on the above SNS page,
A location-based job recommendation system that is publicly or privately disclosed to an enterprise according to the setting of the job seeker. As a job recommendation method based on the location-based job recommendation system,
The job seeker terminal and the enterprise terminal each participate as a node of the blockchain network and upload job search information and job search information, respectively;
The block chain network executing a chain code to verify the job search information and job search information, and recording the verified job search information and job search information in each block;
A step of downloading, by a job offer-recommending server, participating as a node of the blockchain network and downloading the block;
The job-seeking recommendation server extracting job-seeking information and job-seeking information included in the block to form a database;
Matching, by the job-seeking recommendation server, a company and job seekers based on the job search information and the location information included in the job search information; And
The job-seeking recommendation server generating recommendation information according to the matching result and providing it to the job seeker terminal and the corporate terminal
Location-based job recommendation method including a. The method of claim 7,
The step of matching, by the job offer-job recommendation server, a company and a job seeker based on the job information and the location information included in the job search information,
When providing location information for job seekers is not selected, attempting to match using only job-seeking or job-seeking-related data other than the location information
Location-based job recommendation method including a. The method of claim 7,
The step of matching, by the job offer-job recommendation server, a company and a job seeker based on the job information and the location information included in the job search information,
Digitizing a plurality of requirements included in the job search information and job search information for job seekers and companies whose positions are matchable to each other; And
The step of excluding job seekers and companies whose total result obtained by multiplying the weights input by the job seekers and companies by numerical requirements is less than the standard value from matching
Location-based job recommendation method including a. The method of claim 7,
The step of matching, by the job offer-job recommendation server, a company and a job seeker based on the job information and the location information included in the job search information,
Connecting to an SNS server through a general network;
Collecting posts on an SNS page operated by a job seeker registered from the SNS server; And
Reflecting the contents of the post in the job seeker's job search information
Location-based job recommendation method including a. The method of claim 10,
Posts on the above SNS page,
Depending on the job seeker's settings, a location-based job recommendation method that is disclosed or closed to a business entity.

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