WO2022244952A1 - Procédé et système de fourniture de contenu lié à une certification, et support d'enregistrement lisible par ordinateur non transitoire - Google Patents

Procédé et système de fourniture de contenu lié à une certification, et support d'enregistrement lisible par ordinateur non transitoire Download PDF

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WO2022244952A1
WO2022244952A1 PCT/KR2022/002834 KR2022002834W WO2022244952A1 WO 2022244952 A1 WO2022244952 A1 WO 2022244952A1 KR 2022002834 W KR2022002834 W KR 2022002834W WO 2022244952 A1 WO2022244952 A1 WO 2022244952A1
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user
information
content
qualification
learning
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PCT/KR2022/002834
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English (en)
Korean (ko)
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배성원
정보철
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주식회사 나인커뮤니케이션
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Priority claimed from KR1020210101053A external-priority patent/KR20220157268A/ko
Application filed by 주식회사 나인커뮤니케이션 filed Critical 주식회사 나인커뮤니케이션
Publication of WO2022244952A1 publication Critical patent/WO2022244952A1/fr

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education

Definitions

  • the present invention relates to a method, system, and non-transitory computer readable recording medium for providing content associated with a certificate.
  • the total number of qualifications being implemented in Korea, both national and private is about 20,000, and about 6,000 new qualifications are created every year.
  • the increase in the number of such qualifications has caused a problem that, although the range of selection of qualifications for the general public is widening, it is difficult for the general public to figure out which qualifications are appropriate for them.
  • Patent Document 1 Korean Patent Publication No. 10-2014-0011183 (2014.01.28)
  • the object of the present invention is to solve all the problems of the prior art described above.
  • Another object of the present invention is to recommend a qualification associated with a user (eg, that meets the user's acquisition purpose) by analyzing various information of the user with reference to a learning result.
  • Another object of the present invention is to support a user to efficiently acquire a corresponding credential by providing various contents associated with a credential determined to be recommended to the user.
  • a method for providing content related to a qualification comprising obtaining profile information of a first user, based on at least one of profile information of a plurality of users and characteristic information of a plurality of qualifications.
  • a method comprising determining a qualification to be recommended to the first user by analyzing profile information of the first user with reference to a result of the learning performed, and providing content associated with the determined qualification is provided. do.
  • a system for providing content associated with a qualification is provided by an information acquisition unit that acquires profile information of a first user, at least one of profile information of a plurality of users and characteristic information of a plurality of qualifications.
  • a system is provided that includes
  • the present invention by analyzing a variety of user information with reference to learning results, it is possible to recommend a qualification associated with the user (eg, that meets the user's acquisition purpose).
  • FIG. 1 is a diagram showing a schematic configuration of an entire system for providing content associated with a license according to an embodiment of the present invention.
  • FIG. 2 is a diagram showing in detail the internal configuration of a content providing system according to an embodiment of the present invention.
  • FIG. 3 is a diagram illustrating a screen on which information on a credential determined as a credential to be recommended to a user is visualized and provided according to an embodiment of the present invention.
  • content is a concept that collectively refers to digital information or individual information elements accessible through a communication network, including text, code, voice, sound, image, video, and the like.
  • Such content may include, for example, data such as text, image, video, audio, link (eg, web link), or a combination of at least two of these data.
  • FIG. 1 is a diagram showing a schematic configuration of an entire system for providing content associated with a license according to an embodiment of the present invention.
  • the entire system may include a communication network 100 , a content providing system 200 and a device 300 .
  • the communication network 100 may be configured regardless of communication aspects such as wired communication or wireless communication, and may include a local area network (LAN) and a metropolitan area network (MAN). ), a wide area network (WAN), and the like.
  • LAN local area network
  • MAN metropolitan area network
  • WAN wide area network
  • the communication network 100 referred to in this specification may be the well-known Internet or the World Wide Web (WWW).
  • WWW World Wide Web
  • the communication network 100 may include, at least in part, a known wired/wireless data communication network, a known telephone network, or a known wire/wireless television communication network without being limited thereto.
  • the content providing system 200 obtains the profile information of the first user, and is performed based on at least one of profile information of a plurality of users and characteristic information of a plurality of qualifications
  • a function of determining a qualification to be recommended to the first user and providing content related to the determined qualification may be performed.
  • the device 300 is a digital device having a function to communicate after accessing the content providing system 200, such as a smartphone, tablet, smart watch, smart band, smart Any digital device equipped with memory means and equipped with a microprocessor, such as glass, desktop computer, notebook computer, workstation, PDA, web pad, mobile phone, etc. can
  • the device 300 may include an application (not shown) that supports a user to receive content according to the present invention from the content providing system 200 .
  • an application may be downloaded from the content providing system 200 or an external application distribution server (not shown).
  • the characteristics of these applications are the overall information acquisition unit 210, qualification determination unit 220, content providing unit 230, communication unit 240 and control unit 250 of the content providing system 200, which will be described later. can be similar to Here, at least a part of the application may be replaced with a hardware device or a firmware device capable of performing substantially the same or equivalent functions as necessary.
  • FIG. 2 is a diagram showing in detail the internal configuration of a content providing system 200 according to an embodiment of the present invention.
  • the content providing system 200 includes an information obtaining unit 210, a qualification determining unit 220, a content providing unit 230, a communication unit 240, and A controller 250 may be included.
  • the information acquisition unit 210, the qualification determination unit 220, the contents providing unit 230, the communication unit 240 and the control unit 250 of the content providing system 200 are at least one of them.
  • Some of them may be program modules that communicate with external systems (not shown). These program modules may be included in the content providing system 200 in the form of an operating system, application program module, or other program module, and may be physically stored in various well-known storage devices.
  • these program modules may be stored in a remote storage device capable of communicating with the content providing system 200 .
  • these program modules include routines, subroutines, programs, objects, components, data structures, etc. that perform specific tasks or execute specific abstract data types according to the present invention, but are not limited thereto.
  • the content providing system 200 has been described as above, this description is exemplary, and at least some of the components or functions of the content providing system 200 are required by the device 300 or a server (not shown). ) or included in an external system (not shown) is obvious to those skilled in the art.
  • the information acquisition unit 210 may perform a function of obtaining profile information of a first user.
  • the first user may register (or upload) his or her profile information to the information obtaining unit 210, and the information obtaining unit 210 may register the first user's profile information.
  • Profile information can be obtained.
  • the profile information of the first user may include gender, age, qualifications possessed, desired qualifications, desired job type (or job), desired department, education (eg, final education), career, etc. of the first user. .
  • the information acquisition unit 210 may further obtain survey result information of the first user in addition to profile information of the first user. More specifically, the information obtaining unit 210 according to an embodiment of the present invention may obtain survey response information provided by the first user with respect to predetermined survey content provided by the content providing unit 230, and , it is possible to obtain survey result information of the first user by analyzing the survey response information.
  • the provided survey content may be survey content related to a psychological test, and may include, for example, survey content related to a user's personality type (eg, Big 5, etc.), occupational tendency, and the like.
  • the information acquisition unit 210 may further obtain platform use information of the first user.
  • the platform may include a platform associated with the content providing system 200 according to an embodiment of the present invention, and may be, for example, a platform that recommends certification and various contents related to the certification to the user. have.
  • the information acquisition unit 210 as the first user's platform use information, the first user's access record to a website or mobile application where the platform is implemented (or provided) , The first user's content use record within the platform (eg, by referring to the first user's content use record and specifying the qualification associated with the content frequently used by the first user within the platform, the first user's interest qualification is also determined. can be specified), etc. can be obtained.
  • the information obtaining unit 210 may further obtain characteristic information of a qualification.
  • the information obtaining unit 210 according to an embodiment of the present invention may obtain characteristic information of a certificate from at least one external server (not shown).
  • at least one external server may be a server that manages national qualifications or private qualifications.
  • application criteria, pass criteria, test subjects, related departments, related occupations, related organizations (eg, government departments, bonus points providers), gender statistics of successful applicants, successful applicants Information on statistics by age and statistics of successful applicants by department can be included.
  • the information acquired by the information acquisition unit 210 is not necessarily limited to the above-described information, and may be variously changed within a range capable of achieving the object of the present invention.
  • the qualification determination unit 220 refers to a result of learning performed based on at least one of profile information of a plurality of users and characteristic information of a plurality of qualifications, and the above first By analyzing the profile information of the user, the function of determining the qualification to be recommended to the first user may be performed.
  • the qualification determination unit 220 uses the profile information of a plurality of users acquired by the information acquisition unit 210 as learning data to recommend a qualification model (hereinafter referred to as , referred to as a "recommendation model"), and as a result of the learning, a first association relationship (eg, correlation) between a plurality of analysis target users or a plurality of analysis target certifications can be derived. have.
  • a qualification model hereinafter referred to as , referred to as a "recommendation model”
  • the qualification determination unit 220 analyzes the profile information of the first user using the learned recommendation model as described above to determine the first user and the first user according to the above first association relationship.
  • the degree of similarity eg, cosine similarity, Pearson similarity, etc.
  • the degree of correlation with the first user is high (eg, the degree of similarity is higher than a predetermined level or the degree of similarity is the highest).
  • Other qualifications possessed by the user may be determined as qualifications to be recommended to the first user.
  • the qualification determination unit 220 analyzes the profile information of the first user using the learned recommendation model as above, thereby analyzing the qualification certificate possessed by the first user according to the above first association relationship. and determining the similarity (eg, cosine similarity, Pearson similarity, etc.) between the first user and the qualifications possessed by other users, and having a high correlation with the qualifications held by the first user based on the determination result (eg, Another credential having a similarity equal to or higher than a predetermined level may be determined as a credential to be recommended to the first user.
  • the similarity eg, cosine similarity, Pearson similarity, etc.
  • the qualification determination unit 220 may use the information on the characteristics of a plurality of qualifications obtained by the information acquisition unit 210 as learning data to learn a recommendation model, and the learning As a result, a second association relationship (eg, correlation) between a plurality of qualification certificates to be analyzed may be derived.
  • a second association relationship eg, correlation
  • the qualification determination unit 220 analyzes the profile information of the first user using the learned recommendation model so that the first user Determine similarity (eg, cosine similarity, Pearson similarity, etc.) between a qualification held by the first user and a qualification not possessed by the first user, and based on the determination result, a high correlation with the qualification possessed by the first user (eg, , a similarity of which is equal to or higher than a predetermined level or the highest) may be determined as a qualification to be recommended to the first user.
  • similarity eg, cosine similarity, Pearson similarity, etc.
  • the qualification determination unit 220 analyzes the profile information of the first user to determine the qualification to be recommended to the first user, but in addition to the profile information of the first user, the first user's profile information is determined.
  • a credential to be recommended to the first user may be determined by further analyzing at least one of the first user's platform usage information and the first user's survey result information.
  • the qualification determination unit 220 may use platform use information of a plurality of users acquired by the information acquisition unit 210 (or platform use information of a plurality of users and a plurality of users).
  • a recommendation model may be trained using (profile information of) as learning data, and as a result of the learning, a third correlation between a plurality of analysis target users or a plurality of analysis target certificates may be derived.
  • the qualification determination unit 220 analyzes the first user's platform use information using the learned recommendation model as above, thereby analyzing the first user according to the third association relationship. and determining the similarity (eg, cosine similarity, Pearson similarity, etc.) between the first user and other users (eg, when a plurality of users have similar content usage patterns within the platform, the similarity between the users may increase ), and based on the determination result, other qualifications possessed by a user with a high degree of relevance to the first user (eg, a similarity equal to or higher than a predetermined level or the highest) (or a user with high relevance to the first user) A credential associated with the content used in ) is determined, and a credential to be recommended to the first user may be determined by referring to the credential.
  • the similarity eg, cosine similarity, Pearson similarity, etc.
  • the qualification determination unit 220 analyzes the first user's platform use information using the learned recommendation model as above, and the first user possesses the first user according to the above third association relationship.
  • the degree of similarity eg For example, cosine similarity, Pearson similarity, etc.
  • other qualifications or the first user having a similarity equal to or higher than a predetermined level
  • a qualification associated with the content used within the platform and other qualifications highly related may be determined, and a qualification to be recommended to the first user may be determined by referring to this.
  • the qualification determination unit 220 may be used as training data to train a recommendation model, and as a result of the learning, a fourth relation between a plurality of analysis target users or a plurality of analysis target certificates may be derived.
  • the qualification determination unit 220 analyzes the survey result information of the first user using the learned recommendation model as above, so that the first user according to the fourth association relationship. and determining the degree of similarity (eg, cosine similarity, Pearson similarity, etc.) between the first user and other users (eg, when a plurality of users have similar survey result information, the similarity between the users may increase) , Based on the determination result, other qualifications possessed by the user having a high correlation with the first user (for example, a similarity higher than or equal to a predetermined level or the highest) (or survey result information of a user having a high correlation with the first user) It is possible to determine a credential to be recommended to the first user with reference to the determined credential).
  • the degree of similarity eg, cosine similarity, Pearson similarity, etc.
  • the qualification determination unit 220 analyzes the survey result information of the first user using the learned recommendation model as above, and the first user possesses the first user according to the above fourth association relationship. Similarity (eg, cosine similarity) between the qualification and the qualification possessed by the first user and another user (or the qualification associated with the survey result information of the first user and the qualification associated with the survey result information of the first user and other users) , Pearson similarity, etc.), and based on the determination result, other qualifications (or survey result information of the first user) that are highly related to the qualifications possessed by the first user (eg, the similarity is higher than or equal to a predetermined level) It is possible to determine a qualification to be recommended to the first user by determining a qualification associated with and another qualification having a high correlation.
  • Similarity eg, cosine similarity
  • the qualification determination unit 220 refers to a result of learning performed based on at least one of profile information of a plurality of users and characteristic information of a plurality of qualifications, and the above third A plurality of candidate qualifications are determined by analyzing profile information of one user, and interest qualification information of the first user specified based on the first user's platform use information or the first user's survey result information (eg, within the platform Among the plurality of candidate qualifications, with reference to a qualification associated with a content whose frequency of use by the first user is equal to or higher than a predetermined level and a qualification associated with the occupation of the first user specified from the survey result information of the first user.
  • a qualification to be recommended to one user (or a recommendation order of a plurality of candidate qualifications) may be determined.
  • information used as learning data of the recommendation model according to an embodiment of the present invention ie, profile information of a plurality of users, characteristic information of a plurality of qualifications, platform usage information of a plurality of users, and information of a plurality of users) Survey result information
  • profile information of a plurality of users and characteristic information of a plurality of qualifications may be used together as training data of a recommendation model.
  • the method of determining the qualification to be recommended to the first user by the qualification determination unit 220 described above is implemented based on at least one of collaborative filtering and content-based filtering. make it clear that it can be
  • the content providing unit 230 is associated with the certification determined by the certification determination unit 220 as a certification to be recommended to the first user (hereinafter, referred to as "recommended certification"). It can perform the function of providing content that can be used.
  • the content providing unit 230 may provide at least one of content related to examination information of a recommended qualification and content related to utilization information of a recommended qualification as content associated with a recommended qualification.
  • the content related to the examination information of the recommended qualification includes content related to the examination schedule or examination method of the recommended qualification, content for diagnosing the user's learning related to the recommended qualification (eg, diagnosis mock test, practice mock test, etc.), recommendation Content for assisting the user's learning about certification (eg, monograph notes, incorrect answer notes, genealogy, etc.), content for managing the user's learning about recommended certification (eg, calendar for managing schedules, etc.) etc. may be included.
  • content related to utilization information of recommended qualifications may include additional points provided for hiring or promotion with respect to recommended qualifications and contents related to the current status of companies providing the additional points.
  • the user's recommended certification Content that provides predictive information about obtainability may be included.
  • the prediction information on the possibility of obtaining the recommended qualification certificate may be specified and provided as a probability or the like.
  • the pass criterion for a recommendation qualification is to obtain 60 points or more out of 100 points, and the user obtains 50 points out of 100 points in a practice test.
  • the content provided by the content providing unit 230 may include user-based learning content generated by users using the platform.
  • learning problems, previous exam questions, diagnosis mock tests, etc. provided by the content provider 230 may be created by a platform operator (or manager) or a platform affiliate. However, it can also be created by general users using the platform.
  • user-based learning content created by a general user (hereinafter referred to as a "second user") using the platform as above may be subject to transaction based on virtual currency.
  • the second user may create user-based learning content and register (or upload) it to the content provider 230, and the content provider 230 may register (or upload) the content provider 230 to the platform when sales of the above content are approved.
  • Transactions (or sales) for corresponding content can be made on the basis of virtual currency.
  • the content provider 230 may set a predetermined price as a unit of virtual currency for the above content created by the second user, and among the sales price of the above content A settlement ratio between the second user and the operator of the platform regarding the sales amount of the above content may be set so that at least a portion thereof may be provided to the second user.
  • the content providing unit 230 refers to at least one of the first user's platform use information and the first user's survey result information acquired by the information obtaining unit 210, and recommends certification. You can provide related content.
  • the content provider 230 refers to the first user's content use record in the platform, and if there is no record of the first user's use of the practice mock exam (or practice test), If the frequency of mock exams is less than or equal to a predetermined level), a practice mock exam may be provided to the first user.
  • the content provider 230 according to an embodiment of the present invention refers to the first user's survey result information on the personality type, and determines that the first user's personality type is a personality type lacking patience, It is possible to provide the first user with a simple OX quiz (that is, an OX quiz that can be performed for a relatively short time instead of a practice test that must be performed for a long time).
  • content associated with a recommendation credential provided by the content provider 230 by referring to at least one of the first user's platform use information and the first user's survey result information must be described above. It is not limited to the illustrative example, and may be variously changed within the scope of achieving the object of the present invention.
  • the communication unit 240 performs a function of enabling data transmission/reception from/to the information acquisition unit 210, the qualification determination unit 220, and the content providing unit 230.
  • control unit 250 functions to control the flow of data between the information acquisition unit 210, the qualification determination unit 220, the content providing unit 230, and the communication unit 240.
  • the control unit 250 according to the present invention controls the data flow from/to the outside of the content providing system 200 or the data flow between each component of the content providing system 200, so that the information acquisition unit 210,
  • Each of the certification determination unit 220, the content providing unit 230, and the communication unit 240 may be controlled to perform unique functions.
  • FIG. 3 is a diagram illustrating a screen on which information on a credential determined as a credential to be recommended to a user is visualized and provided according to an embodiment of the present invention.
  • a resin crafts license, a photo technician, an origami license, a 3D printer development industry article, and a color list industry article are determined as qualifications to be recommended to the first user, and information about the qualifications to be recommended is first It may be provided to a user (specifically, the device 300 of the first user) as content associated with a certification.
  • scores are given to the plurality of qualifications based on a predetermined criterion, and the recommendation rank is determined according to the scores.
  • the recommendation ranking may be determined in the order of resin craft license, photo technician, origami certificate, 3D printer development industry engineer, and color list industrial engineer.
  • Embodiments according to the present invention described above may be implemented in the form of program instructions that can be executed through various computer components and recorded on a computer-readable recording medium.
  • the computer readable recording medium may include program instructions, data files, data structures, etc. alone or in combination.
  • Program instructions recorded on the computer-readable recording medium may be specially designed and configured for the present invention, or may be known and usable to those skilled in the art of computer software.
  • Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magneto-optical media such as floptical disks. medium), and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like.
  • Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter or the like as well as machine language codes generated by a compiler.
  • a hardware device may be modified with one or more software modules to perform processing according to the present invention and vice vers

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Abstract

Un aspect de la présente invention concerne un procédé de fourniture de contenu lié à une certification, le procédé comprenant les étapes suivantes : l'acquisition d'informations de profil d'un premier utilisateur ; la détermination d'une certification à recommander au premier utilisateur, sur la base des informations de profil d'une pluralité d'utilisateurs et/ou des informations caractéristiques d'une pluralité de certifications, par analyse des informations de profil du premier utilisateur par référence à un résultat d'apprentissage qui est effectué ; et la fourniture d'un contenu lié à la certification déterminée.
PCT/KR2022/002834 2021-05-20 2022-02-25 Procédé et système de fourniture de contenu lié à une certification, et support d'enregistrement lisible par ordinateur non transitoire WO2022244952A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
KR20210065133 2021-05-20
KR10-2021-0065133 2021-05-20
KR1020210101053A KR20220157268A (ko) 2021-05-20 2021-07-30 자격증과 연관되는 콘텐츠를 제공하기 위한 방법, 시스템 및 비일시성의 컴퓨터 판독 가능한 기록 매체
KR10-2021-0101053 2021-07-30

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KR20120037532A (ko) * 2010-10-12 2012-04-20 송영선 진로 상담 시스템 및 방법
US20130266922A1 (en) * 2010-01-15 2013-10-10 Apollo Group, Inc. Recommending Competitive Learning Objects
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KR20200105378A (ko) * 2019-02-28 2020-09-07 (주)엔터랩 전문가에 의해 생성되는 프로젝트 결과물을 빅데이터 기반으로 관리하여 가상화폐를 제공하기 위한 방법 및 시스템

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US20130266922A1 (en) * 2010-01-15 2013-10-10 Apollo Group, Inc. Recommending Competitive Learning Objects
KR20120037532A (ko) * 2010-10-12 2012-04-20 송영선 진로 상담 시스템 및 방법
KR20190082030A (ko) * 2017-12-29 2019-07-09 (주)제이엘케이인스펙션 교육 콘텐츠 제공 장치 및 방법
KR20200105378A (ko) * 2019-02-28 2020-09-07 (주)엔터랩 전문가에 의해 생성되는 프로젝트 결과물을 빅데이터 기반으로 관리하여 가상화폐를 제공하기 위한 방법 및 시스템

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