KR20150053317A - Personalized education recommendation system - Google Patents

Abstract

A personalized education recommendation system based on lifelong development is provided to conduct a scientific career path test to provide information, by comprising: a user information collecting module comprising an input unit that receives personal information of a user, and a saving unit that saves the personal information of the user; a recommended occupational cluster extracting module that matches the type of occupational cluster and each occupation cluster with an aptitude information and an aptitude statistics information of the user through an occupation information server including the aptitude statistics information that identifies the aptitude of a worker in a statistical way, and creates a recommended occupational cluster information; a preferred occupational cluster selection module that receives a preferred occupational cluster from the user from a plurality of recommended occupational clusters of the recommended occupational cluster information, and creates a preferred occupational cluster information; a matching module that calculates the difference by item between a learning capacity statistics information of the preferred occupational cluster and learning capacity information of the user, and creates a matching information; and a target information providing module, comprising an information collecting unit that receives educational information from an educational information server, receives educational contents and occupational contents that are made by classifying and saving educational model of each school, etc., classifies and saves them, and builds an educational contents DB or an occupational contents DB, and an information providing unit that extracts the contents on a specific occupation or a specific school included in the collection from the educational contents DB or the occupational contents DB, creates a target information, and provides to the user.

Description

Personalized education recommendation system based on life -

The present invention relates to a personalized education recommendation system based on a life-like development, and more particularly, to a recommendation system suitable for aptitude or learning ability of a user, a learning ability, a major, a capability development, It provides a collection for acquiring knowledge. It provides the characteristics that grasp the aptitude of the user and provide the collections and the collections for him / And the like.

In general, countries that have achieved rapid economic growth are in a climate that emphasizes learning ability rather than individual aptitude, interest, and personality. In this reality, there has been an era in which developed countries' education should be realized in accordance with the increase in investment in education for middle and high school students who are worried about their future, college students who are worried about employment,

In order to solve these problems and develop into advanced country education, it is necessary to clearly understand the individual's career and aptitude and to think for themselves, which is now being conveyed to the level of formal examination and advice of non-experts.

Accordingly, Korean Patent Laid-Open No. 10-2010-0011468 discloses an apparatus and method for generating a career map for each tutor to determine the academic aptitude and vocational aptitude of a trainee to generate a career map accordingly, And a route map generation device for detecting a pedestrian having the route map.

The above-described technique is very simple in that the step of generating a career map by judging the aptitude of a tutor by determining the academic aptitude and the aptitude of a tutor is very simple, and by detecting the instructor so that the designing and learning of a career by a teacher, This has the effect of restricting students' free thinking about the course. In addition, it is difficult to continuously upgrade information, and there is a limit to have feedback function because there is no function to complement each other.

In addition, since the learning style of the tutor is also based on the curricular learning ability after the career map is generated, the ultimate effect of the invention is ultimately resulted in improvement of the curricular learning ability, which is not much different from the conventional education method There is a problem that the tutor can come up with another burden for the lesson learning, not a free idea of career. In recent years, concerns about career have not only been applied to adolescents but also expanded to college students and seniors who are not economically affordable beyond the society, and efforts to find their children's talents from early childhood have been made in occupations such as Korea Job World and Kizaniya Experience park.

Therefore, the more advanced and evolved ex-works, which give more importance to the individual aptitudes of the individual users who are growing up and accordingly recommend a more reasonably suitable occupational group, There is a need for a customized educational recommendation system based on life - style development.

The above-described background technology is technical information that the inventor holds for the derivation of the present invention or acquired in the process of deriving the present invention, and can not necessarily be a known technology disclosed to the general public prior to the filing of the present invention.

Therefore, this technology will conduct a scientific career test focusing on aptitude, temperament, personality, learning ability, and field of interest for each individual user. Based on the above extraction result, suitable education program and advancement by age group, region (residence, country) Information, professional information, professional resources and reports through artificial intelligence curation. In Europe, such as Finland, Germany and Denmark, we are analyzing individual aptitudes, talents, and temperament and setting up the appropriate course to provide education suitable for individuals from school days. It has been in full swing since 2009 to introduce the appraisal system and the free semester system.

Another object of the present invention is to provide a means for selecting an optimum occupation group including realistic information such as learning ability by matching the information of the result of the examiner's examination and information on the learning ability of a specific occupational worker corresponding to the occupation group .

Yet another object of the present invention includes the ability of the SNS to curate similar results and group multiple investigators together to provide them with a community space.

It is a further object of the present invention to provide a payment means for purchasing education contents containing additional information corresponding to a job group by age group and region group.

It is a further object of the present invention to enable educational contents to be shared among researchers in the everyday group so as to provide a substantial group effect.

In order to accomplish the above object, the career-search algorithm and the personalized education information recommendation system according to the present invention can be applied to a user's personal information, aptitude information related to a user's interest, interest, An input unit for inputting the capability information and the human information of the user, and a storage unit for storing and storing the aptitude information and the human information inputted through the input unit into the user information DB. The aptitude information and the aptitude statistical information of the user are matched with the occupation information server including the aptitude statistical information that statistically grasps the aptitudes of the occupation groups and the aptitudes of the persons engaged in the respective occupation groups, A recommendation job group extraction module for extracting a plurality of job groups and generating recommended job group information; A preferred occupation group selection module for receiving 2 to 5 preferred occupation groups from a plurality of recommended occupation groups of the recommended occupation group information and generating preferred occupation group information; A matching module for calculating the difference between the learning ability statistical information of the preferred occupation group and the learning ability information of the user to generate matching information; A collection creation module for receiving education information from the education information server and generating a college entrance, a subject, a comparison, and a job-related collection according to the matching information of the user in cooperation with an education information DB classified and stored for each school, ; An information collecting unit for receiving and classifying and storing educational contents and occupation contents in cooperation with any one of the education information server and the occupation information server to construct an education contents DB or a contents contents DB; A target information extracting unit for extracting contents for a specific job or a specific school included in the collection and generating target information, and an information providing unit for receiving the target information and providing the information to the user based on the human information And a module.

The system may further comprise: a collection judgment unit for storing the collection provided by the collection providing module for each user and for comparing the collection of each user by a keyword matching method; A group setting unit for grouping selected users by selecting users, a unique setting unit for providing a unique ID and a password to a plurality of users grouped by the group setting unit, and communicating with chat, text transmission, and file transmission / And a community providing module that provides a providing interface.

In addition, the system may include an online book related to the collection provided in the collection providing module, a purchase information providing unit for providing purchase information including a purchase target made up of online education services, a purchasing server for purchasing the purchase target online And an information purchasing module configured by a purchasing unit for online trading the purchase object through interlocking.

In addition, when the user purchases an object to be purchased through the information purchasing module, any one of the users in the group set through the group setting unit may communicate with the community information providing module, And an information sharing unit that transmits the purchase object via the Internet.

Other aspects, features, and advantages will become apparent from the following drawings, claims, and detailed description of the invention.

According to the personalized education recommendation system based on the whole life development according to the present invention,

1) By comparing the aptitude information of the user and the aptitude statistical information of the persons engaged in each occupation group, it is possible to present a more realistic and reasonable recommendation occupation group by recommending a plurality of occupation groups,

2) To allow the user to input his / her preferred occupation group again among the plurality of recommended occupation groups, so as to respect the user's intention,

3) Providing appropriate collections and various contents related to users, it not only helps users to realize their career design more concretely,

4) To give the user more motivation by providing the best case of the successful applicant who passed the specific school where the user intends to go according to his / her collection,

5) It provides grouping of researchers who are recommended for similar occupation groups, providing an interface for sharing the contents of educational contents, as well as communities, thereby providing convenience of grouping.

FIG. 1 is a conceptual diagram illustrating the principle and operation of a customized education recommendation system based on the life-long development according to the present invention.
FIG. 2 is a block diagram showing a basic configuration of a personalized education recommendation system based on the life course development according to the present invention.
FIG. 3 is a flowchart showing a schematic operation of a personalized education recommendation system based on the life-long development according to the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Like reference numerals in the drawings denote like elements.

FIG. 1 is a conceptual diagram illustrating the principle and operation of a career-checking algorithm and a personalized educational information recommendation system according to the present invention.

As can be seen from FIG. 1, the system according to the present invention recommends a job group suitable for a user's aptitude based on the systematic analysis of scientific test results, and acquires knowledge necessary for having the job, The purpose of this guide is to provide a collection of specific information for a user who has a problem of determining the aptitude of the user by determining the aptitude of the user more precisely and easily, It is important to make a real career decision.

The system according to the present invention communicates with a user via a web page stored in a web server using a communication network such as the Internet, long term evolution (LTE), wireless fidelity, 3G (3 generation) , Learning information, and environment from a user in a state of being linked with an information server including information on a user, a user, a user, and a case information, and after grasping a user's aptitude according to a more scientific and progressive method, Provide characteristics that provide data.

The system includes a client server (mainly a user PC or a user mobile phone) managed by a user and a central control server communicating with the client server.

Here, the central control server integrates a DB server, a web server, a mobile server, and the like. The central control server manages a separate web page (a web site or a mobile site) When a user inputs member information including data related to his or her own inclination, learning ability, environment, etc. in a pre-established state, a web environment for allowing a user to receive a recommended job group and corresponding collection data based on the inputted member information And performs an interface-based role of communicating with the user such as settlement of the amount paid by the user in order to receive the recommended job group, collection, and the like.

According to this principle, the system operator and the user according to the present invention can recognize the aptitude that the user can not accurately perceive more objectively on the basis of the high-quality content distribution platform in accordance with the current trend of the Internet, By providing collections for occupations based on aptitudes, you can have a more precise career plan, and the system operator is able to meet individual users offline and analyze time and cost more efficiently than analyzing and consulting individual aptitudes. It is possible to provide more accurate and analytical information than individual counseling by providing profession groups and collections based on aptitude that are scientifically analyzed.

FIG. 2 is a block diagram showing a basic configuration of a career-checking algorithm and a personalized education information recommendation system according to the present invention.

2, the system according to the present invention basically includes a user information collection module 110, a recommended job group extraction module 120, a preferred job group selection module 130, a matching module 140, A module 150, and a target information generation module 160. Hereinafter, a system according to the present invention will be described in detail with reference to FIG.

The user information collection module 110 according to the present invention allows the user to collect 'user information' in order to receive contents such as a job group, a collection, etc. corresponding to his or her aptitude. Specifically, the user information collection module 110 includes an input unit 111, And a storage unit 112.

The input unit 111 functions as a means for allowing the user to input user information, and transmits the user information input from the user to the storage unit.

The user information received through the input unit 111 includes at least one of personal information such as the user's name, age, school, grade, sex, E-mail address, mobile phone number, etc., aptitude information related to the user's personality, , Comparisons, activities, and educational environment.

The aptitude information serves as a source in generating recommendation job group information more suitable for the user according to the user's tendency and personality in the recommended job group extraction module to be described later, and the learning ability information is stored in the matching module 140, As a source.

As a method of receiving the aptitude information, it is possible to provide a question about a specific item and input an answer thereto. That is, the questions related to personality, interest, etc. are categorized and classified, A method of presenting a plurality of detailed items as a plurality of detailed items and allowing the user to select and input at least one of the detailed items by a method such as clicking or by making a description in a self- It is possible.

For example, the aptitude information should be divided into three items, that is, characteristics, abilities, and interests, which are necessary for grasping the aptitude, and it is preferable to separately perform related psychological tests. A question information DB for psychological examination which has been received from the server so as to be interlocked with the server of the psychological examination professional institution through the Internet or classified and stored the question for the psychological examination which has been examined in advance, On the screen of FIG.

For example, "What value do you think most importantly when you choose a job?" And the answer to this is "honor", "salary", " Items may be presented to select one or more of them, or the user may extract the detailed items and the like by a keyword extraction method when the user inputs them in a narrative formula.

These aptitude information can be expressed as numerical values so that it can be matched with the aptitude statistical information in the future, and it is possible to prepare detailed aptitude items in detail, If the aptitude is high, a method of giving a high score can be used. (This numerical processing method is similar to the aptitude statistical information described later.)

In addition, the above-mentioned learning ability information may be expressed as' How many grades are grades of the first graders of my high school? 'Or' What is the average score of mathematics grades of the myths? , And more than 95 points, more than 92 points, more than 90 points, and more than 90 points, And so on. By sorting and storing the detailed items selected by the user for each question by category, the user information related to the subject learning ability can be constructed. For example, the user information can be linked with the NEIS (Educational Administration Information System) server It is also possible to have the server receive the subject learning ability of the user.

In addition, the above-mentioned comparison and activity items are provided by asking questions such as 'Please input your own comparison and activities and the awards related thereto', and after allowing the user to describe himself / herself, For example, if a user has stated that he / she volunteered at the Welfare Center for the Disabled during the first year of high school, he / And " 20 hours " are extracted and stored.

The storage unit 112 receives user information transmitted from the input unit 111 and stores the received user information, thereby constructing a user information DB.

In the user information DB, the recommended job group extraction module 120 and the collection creation module 150, which will be described later, perform the same function as the source in extracting the recommended job group according to the aptitude-related items of each user, The system operator according to the present invention can provide the user with customized information or contents more suitable for each aptitude and the like, which will be described later in more detail.

The recommended job group extraction module 120 can recommend a job group suitable for a user in accordance with the user information. The recommended job group extraction module 120 may be configured to classify various types of job groups, And generates a recommended job group information by extracting a job group corresponding to the aptitude of the user in a state of being linked with the job information server including statistical information on aptitude statistics or learning ability statistics statistically grasping the aptitude or learning ability of the people.

That is, the job information server lists and sort the current job group by each group, and also provides a questionnaire that extracts a plurality of sample objects for each job and grasps aptitude for each sample object, And collects these aptitude information by occupation to generate and store aptitude statistical information.

In other words, the aptitude statistical information is classified into each occupation group, and the aptitude of the persons engaged in each occupation group is individually examined and statistically analyzed to include the occupational statistical information that can be expressed as numerical value. When extracting the recommended occupation group information, a method of matching a user's aptitude information and occupation group statistical information of persons engaged in each occupation group to extract the occupation group having a high matching rate of the two can be used.

Here, the matching method can use a method of comparing the numerical values of the respective information to determine whether there is no difference in the numerical values, and if the numerical difference does not occur, the matching rate is evaluated to be high.

The recommended occupation group information includes a plurality of occupation groups, preferably 7 to 20, and each occupation group may also provide a matching rate number to the user. This is to allow the user to provide a larger selection range in selecting the preferred job group from the recommended job group information in the preferred job group selection module described later.

In addition, the job information server may include statistical information on learning abilities expressed numerically by statistically classifying the learning ability information including the learning ability, the department, the learning ability, and the comparison and activities of the people in each occupation.

In other words, the job information server inquires through questionnaires about their learning ability, learning ability, and departmental learning ability of students during their school days as well as their aptitude for job in each sample of job group, The matching modules, including the learning ability statistics information, provide a basis for users to select rationally from their aptitude as well as their learning ability.

Artificial curation refers to the process of systematically consulting curators who receive a large amount of preliminary data and professional education to view reports received as a result of a career test, and to conduct online consultation for those who want to know more or more information.

The preferred occupation group selection module 130 provides an interface for allowing a user to select and input a user's preferred occupation group among a plurality of recommended occupation groups included in the recommended occupation group information.

This means that after the recommended job group information is started on the display panel of the PC or the mobile phone, the user can select the recommended job group information by clicking on two or five preferred job groups among the plurality of recommended job groups from the user It is most preferable to store the inputted occupation group as preferred occupation group information.

The preferred career group selection module 130 is provided to recommend a job group unilaterally according to the aptitude information of the user and to provide information according to the information. Further, after recommending a plurality of job groups corresponding to the aptitude of the user, In this case, a preference job group which is preferred by the user is selected, and a road map is generated based on the selected job group. Then, the user is informed of the road map, It can provide more respectful characteristics.

The matching module 140 compares the average learning ability information of the people in the preferred occupation group selected by the user, that is, the learning ability statistical information of the specific preferred occupation group statistically analyzing the specification and the learning ability information of the user Selecting at least one final selection occupation group having a relatively high matching rate among the plurality of preferred occupation groups and calculating the learning ability information of the final selection occupation group and the learning ability information of the user And analyze the gaps in each category (school level, subject learning ability by subject, comparison and activities, etc.).

At this time, the learning ability statistical information is a statistical analysis of the learning ability, the department, and the learning ability distribution of people engaged in a specific occupation group, and the learning ability, the learning ability, etc. required for the user to work in the preferred occupation group So that it can be perceived objectively.

In the process of matching the learning ability statistical information with the learning ability information, most of the people who are engaged in the preferred occupation group have acquired a degree higher than a university degree. However, since the user has not yet decided on the course, The learning ability of people engaged in the preferred occupation group will be higher than the learning ability of the user. The above-mentioned car is a system in which the persons engaged in the preferred occupation group are informed of the learning ability statistics information at the age of the user, It should be a value calculated by comparing the learning ability information, and it would be desirable to provide the user with a career example of the people having the corresponding career group afterwards.

In other words, the operation according to the above-described configuration will be briefly described. The system according to the present invention provides a user with a recommended job group matching the aptitude information of the user, Select a group.

Thereafter, matching the learning ability statistical information of the preferred career group with the learning ability information of the user, and deriving the career group having the highest matching rate as the final selection career group. Then, by comparing the learning ability information of the user with the learning ability statistics information of the last selected occupation group, analyzing the difference according to each category, the user can more specifically help the career setting.

The collection creation module 150 generates a collection of users based on the matching information, the learning ability information, and the learning ability statistical information. The collection creation module 150 generates a collection of users for entering a college Collections, compilation collections related to the qualifications and service activities to be acquired in the comparisons department after graduation, vocational areas including the information on the preferred occupational arm objects and advice, Collection, and the like.

As a method of generating the college-related collections, an average academic level of the persons engaged in the preferred occupation group is determined from the learning ability statistical information, and then the educational information server such as a site for each school, an educational information site, (Ie, the level of the user - this can be obtained by comparing the matching information with the education information), and the level of the corresponding information in the educational information DB classified and stored in each educational type and each year's cut- The college can extract high school or college of the college, and can create collections related to the college.

In addition, the collection of study-related collections and comparative departments are used to extract the curriculum and competency items to be acquired by users in order to advance to the high school or college presented in the college-related collections. It is of course possible to update as the level of entrance to a university, such as a cut line, changes every year.

The collections of the vocational department means the information which includes the recommended characteristics of the occupation (pros and cons), and the detailed advice of the occupational practitioner.

In the case of infants and toddlers, it is possible to conduct a career test under the supervision of a guardian because the individual examinations are difficult in the infant and adulthood except for elementary, middle, high school and college students. .

The target information providing module 160 extracts and provides the customized information necessary for the user based on the admission, the subject, and the related collection generated by the collection creating module 150. The target information providing module 160 includes an information collecting unit 161, A target information extracting unit 162, and an information providing unit 163.

The information collecting unit 161 collects various kinds of information to be provided to the user. The information collecting unit 161 is connected to the education information server and the vocational information server by using a communication network such as the Internet, , And a job content DB. The education contents DB can include various contents related to education including a school introduction, a typical introduction, a typical analysis, and a comprehensive education analysis of each middle / high school / university, The job content DB can provide detailed information about each job including job summary, wage and prospect of each job, related job, necessary capability, knowledge, proper personality value, representative job introduction, preparation method, Content.

At this time, the educational contents and the vocational contents are dataized or coded in an easy-to-recognize form, and the target information extracting unit to be described later extracts various contents related to the specific occupation group, the specific school, the learning ability of each subject, It is necessary to extract the main contents included in each of the educational contents and the occupation contents in a text so that they can be identified as a specific occupation group or a specific school, It is possible to extract specific contents by a keyword extraction method.

In addition, the information collection unit 161 may further include a best case DB. The best case DB includes a case of passing successful applicants who have passed the specific school, , A passing grade, and so on. It is possible to collect the information stored in the education information server or each school server by a method of receiving the information. Also, by requesting the above-described information to the user server of the successful applicant, etc., It is also possible to build.

The target information extracting unit 162 extracts contents for a specific job or a specific school included in the collection from the education contents DB or the occupation contents DB to generate target information.

At this time, in the method of extracting contents related to a particular school or a specific occupation from the education contents DB or the occupation contents DB, it is possible to extract each of the contents stored in text and stored by the keyword extraction method as described above, Other methods may be used within the scope of the present invention.

The information providing unit 163 receives the target information from the target information extracting unit 162 and provides the user with various contents according to the target information.

In this case, the target information including various contents may be provided to the user based on the user's personal information in the user information DB, and may be provided according to the period, that is, once a month, , And the time of decision on the course / course of the course, etc.), it can be provided directly to the user on the web page, and may be transmitted to the user by a message such as E-mail, SMS, MMS . The method of providing the target information may be variously applied.

FIG. 3 is a flowchart illustrating a schematic function and an action of a career-checking algorithm and a personalized education information recommendation system according to the present invention.

 Referring to FIG. 3, the operation of the career search algorithm and the personalized educational information recommendation system according to the present invention will be described with reference to FIG. 3. First, using the user information collection module 110, Learning ability information and personal information, and a user information DB is constructed. In the job information DB, the aptitude statistics information of each job group and the aptitude information of the user are matched to extract a plurality of job groups having a high matching rate, And generates a preferred occupation group information by inputting a plurality of preferred occupation groups of the plurality of recommended occupation groups of the recommended occupation group information from the user.

Thereafter, the learning ability information of the user is matched with the learning ability statistical information of the preferred career group to select the final selection career group having a high matching rate among the preferred career groups, and the learning ability statistics information of the final selected career group and the user's learning The matching information is generated by calculating the difference of each item of the capability information.

The training information DB is linked with the education information DB to generate collections related to admission, curriculum, and comparison according to the matching information, extracts contents that are useful for the user's course from the education contents DB or the occupation contents DB according to the collection, And provides the target information to the user.

Such a system not only satisfies the user's aptitude but also has a high matching rate with the current learning ability information of the user, so that it is possible to set a reasonable career that simultaneously matches the ideal and the reality, It is possible to minimize the trial and error that can be experienced when the user proceeds to the career after the career decision by providing various contents for the user, and thus the time and cost of the user can be shortened efficiently.

The community providing module 170 additionally provided in the present invention has a function of performing a community among the users determined to be the same or similar to the collections provided by the collection creating module 150 Specifically, a collection determination section 171, a group setting section 172, and a community provisioning section 173.

The collection determination unit 171 stores the collection of each user created in the collection creation module 150 in a central control server (stored in a DB server or a collection server included in the central control server) As shown in FIG. Here, there are various methods for determining the degree of similarity of the collection. For example, there is a method of calculating the number of categories having high degree of similarity to each category or all categories in the categories of subject / comparison / admission / career Specifically, the degree of similarity of each category can be judged to be higher when the number of keywords matched through the keyword matching of the recommended job and recommendation school included in each category is greater.

Alternatively, you can use the physical similarity determination method to determine the number of items that match the keyword by comparing keyword categories among the categories provided in the collection, and if the number of items matches more than a certain number (for example, 5 or more) .

The group setting unit 172 sets a group of users determined to have a high degree of similarity between collections and stores the group in a separate storage server.

That is, the present invention provides a role of separately grouping users who are determined to have the same or similar mutual pursuit / desire by users, and to keep such information separately.

The community providing unit 173 notifies the user of the group processing that the group processing has been performed and provides a separate ID and password to the user in the group. Then, the community providing unit 173 sends a web page or a mobile page operated by the system according to the present invention A community providing interface (meaning, for example, a social networking media means such as a messenger or a Twitter running on a mobile communication terminal such as the Internet or a smart phone) is provided, and a community such as chatting, It provides a foundation to do.

Through such a community providing module 174, it is possible to share similar information while sharing the same information with the users who are pursuing each other so that they can feel mutual affinity, so that they can decide about the desired school / job more securely And the like.

The information purchasing module 180 according to the present invention stores 'purchase information' such as purchase of a book, experience activity, overseas training, offline education service, or the like, The purchase information providing unit 181, and the purchasing unit 182. The purchase information providing unit 181 is provided with a purchase information providing unit 181 and a purchasing unit 182. [

The purchase information providing unit 181 performs the function of providing the user with the above-mentioned purchase information. The purchase information providing unit 181 periodically provides the user with a recommendation book in a manner such as mail, SMS, Service, recommended online download materials, and so on. At this time, the purchase information provided is hyperlinked so that, when the user clicks the purchase information, the user can move to a web page / mobile page where the purchase target introduced in the purchase information can be purchased.

At this time, the social commerce function has been adopted so that the coupons are provided so that the education program can be purchased or registered at a price lower than the current price.

The purchasing unit 182 provides a function for the user to purchase the purchase target introduced from the purchase information via online. The purchasing server 182 is connected to a purchase server, that is, an online shopping mall , Etc.) through the intermediary of a web site (eg, a web / mobile site that sells mobile phones, etc.).

That is, the purchasing unit 182 not only provides only the information such as the recommendation department from the collection, but also allows the user to continuously design the direction to be pursued through the collection, but the additional profit of the system according to the present invention In addition, it is advantageous in that the user can receive continuous attention from the system according to the present invention by providing the aka purchase information that can be created, It is possible to have a foundation to generate additional profit through operations. The personal curator has the license authority and can analyze the career examination with the consent of the assigned member and can consult on this basis. All information (membership, content, etc.) is protected by a strict security program.

The information sharing unit 174 according to the present invention is additionally provided in the community providing module 170 and has a function of providing a basis for sharing the purchasing information more rationally among users who have similar collection purpose and are group processed to provide.

Specifically, when a specific user in the group purchases a specific purchase object (that is, an electronic book that can be stored on-line, a download textbook, etc.) through a purchase server, the information sharing unit 174 communicates with the community providing module 170 A community interface (in this case, a community interface has a function of transmitting and receiving data such as a file transmission in addition to a chatting function) to all the other users in the group as well as the user who has purchased the purchased object in cooperation with the user (For example, in the case of a smart phone, notifying the purchaser of the purchase method in an update manner and providing the download in an update manner when the user accesses the terminal). Thus, it is possible for a user in the group to share a specific purchase object not only by his or her own action (purchasing target purchase behavior) but also by the purchase behavior of other users in the group.

That is, by the function of the information sharing unit 174, since the purchasing target purchased by any one user in the group can be shared with other persons in the group, not only the group relationship can be planned, You will have the benefit of reducing the cost of purchasing.

The collection providing module 150 according to the present invention further includes an extended information providing interface 151.

The extended information interface 151 provides the user with continuous information related to the collections of the profession, in particular, the collections of the collections that can influence the lifetime of the users, and reflects the changes in the popularity and value pursuit of the profession It provides the user with information about realistic job introduction.

The extended information interface 151 includes a news information generating unit 152 for generating news information of a recommended job in cooperation with a news information server that updates and stores main news of a job recommended to the user in real time, And a job prospecting part 153 for grasping a promising business. The change factor analyzing part 154 may further include a change factor analyzing part 154 for analyzing the reason for the change in the promising degree of the job.

Specifically, the news information generating unit 152 generates news information by extracting news related to the used car market in cooperation with the news information server. The news information is transmitted to the user, and the user can grasp the overall trend of the occupation It helps to do.

Here, the news information server selects a news item containing a keyword for the job, creates a news group for each job, and stores the generated news group. It is possible to follow the method of secondary classification by the method of judging whether or not the news title includes the keywords in the news title or not, .

Further, the news information can be classified into texts or coded by being divided into specific categories according to the contents of the news. This is because a change factor analyzing unit, which will be described later, As shown in FIG.

For example, if there is a news article analyzing the relationship between the salary of a job as a fund manager and the stock price index, this news article analyzes whether it includes a specific topic or keyword, Accordingly, the news article can be re-edited and processed for information processing. That is, the news article can be re-edited with 'fund manager / stock price index 0000 / annual salary / 00 million won'. In addition, the codification of a specific topic means, for example, that in a news article about a fund manager, when there is a topic called 'salary', the word corresponding to this topic is used in keyword matching search (ie, And then analyzing whether or not the search keyword corresponds to the topic in the news including the secondarily searched keyword. If the subject keyword is included in the subject, the subject word is represented by a plurality of digits Code (e.g., the same method as DFGSW0103).

The prospectiveness determination unit 153 extracts a so-called " characteristic keyword " that can grasp the promising degree from the news article (news information) extracted for each job in the news information generation unit, 'And understand the promise of the job to be delivered in the news article.

For example, when the title of a news article is '0000 KRW average taxpayer', the characteristic keyword is 'tax' and the related keyword is '0000 won' based on the job as a CPA.

That is, the characteristic keyword may include words such as salary, tax, number of staff, sales, purchase, hope, failure, closure, customer number, production, Correspondingly, the related keywords consist of words having the meaning of value (0000 won), numerical value, value, preference, etc., and at the same time, the meaning of each word is divided into promising / coinciding / 151 as an associated keyword library.

In summary, the job prospecting unit 153 analyzes a keyword and a related keyword in the news in which the occupation appears, and determines whether the meaning of the related keyword is promising / coinciding / falling according to the number of appearances of the related keywords (Can be displayed as code 'A') 14 times, coincidence (code 'B' can be displayed) 19 times, descent (code 'C' can be displayed) 10 times (Ie, 'promise identification information'), which is the level at which the prospect is dominant and maintains the current promise.

That is, the promise information is determined by determining the number of times each code of the related keywords is included and setting the code having the greatest number of times as a promising guideline.

The job prospecting unit 153 analyzes keywords in daily news articles so as to grasp the approximate flow and promise of the job, and periodically (for example, one week, one month Unit) and send it to the user.

The change factor analysis unit 154 periodically and continuously receives the prospect information from the job prospecting unit 153 and visually processes the prospect information as a prospect graph, and at the same time, And extracts a point at which the rate of increase / decrease of the specific code is large, recognizes the point as a rapid change point, and separately analyzes the code to generate 'change factor information'.

The likelihood changing factor is a function that periodically grasps the number of the corresponding code based on the code processing (expressed as A, B, and C codes in the above) of the unique meaning of the related keyword, And the news information at the time of the sudden change point is referred to as a "high-speed change point", and the news information at the time of the sudden change point is referred to as a high field of the overall game or the occupation (for example, News from the news information server about news that the economy is not good overall, the oversupply of the legal profession with the unemployed of the pre-trial lawyer graduated from the Judicial Research and Training Institute this year, It is necessary to extract general news information such as an increase in medical accidents due to an increase in accidents, Extract the news that the recognition and evaluation, change the facts on the job and perform a function that generates a change factor information extracted through such news.

Here, the news extracted by the change factor analyzing unit 154 may be understood to include a broader topic and contents than the general news by extracting news according to the occupation, by grasping the general trend of the society or the upper field of the occupation.

In addition, the change factor analyzing unit 154 notifies the user of the change point information such as the sudden change point and the relevant news extracted in this way, thereby providing a more realistic feel to the middle school students, Not only gives them the opportunity to choose their careers carefully, but also gives them the ability to broaden their horizons so they can grasp social tides themselves.

News information is being expanded in cooperation with the daily newspaper Maeil Business Newspaper (President and CEO, Jang, Dae Hwan), e-newspapers and JoongAng Ilbo.

For example, in the method of forming the change factor information, after extracting the news published at the time point corresponding to the 'sudden change point' by the keyword extraction method in the news information, an overall change factor is determined through the meaning of the extracted keyword It is also possible to make it possible.

Such information on the change in the market price may include details of the salary information and the business flow information of the corresponding job.

In addition, the change factor analyzing unit 154 may further include an important factor grasping unit. The important factor grasping unit may determine that the change factor information has the largest influence among the change factor information And extracts at least one factor to generate 'important factor information'.

Although important factor information can not be judged mechanically and uniformly, in the present invention, a multiple regression analysis method can be used in order to grasp important factors of change in the change factor analyzing unit 154, and specifically, normalization, weighting calculation , And the like are combined with the regression theory, and each price change information is set as an independent variable so as to be calculated by a line form such as "Y = ax1 + bx2 + cx3 + ... + nxn".

Here, values such as x1, x2, and x3 are numerical values such as the business flow, the number of employees with the job, the salary of the occupation group, and the weight is a high value Can be determined by a method of giving.

That is, in the above equation, each constant for a to n is determined by the weighting method for the independent variables x1 to xn assigned as the respective change factor information, that is, And the important factor information according to the present invention performs the function of determining the constant value through various news information collected from the news information server in the state where the y value and x value are given.

That is, through the change factor analyzing unit 154, it is possible to grasp the key information among the various information items of the change in the timing, that is, the important factor information. The analysis is performed by setting the independent variables and the weights as described above, Based on theories and mathematical equations, and to transmit these important factor information to the users.

Through this extended information interface 151, information on the occupation is periodically transmitted from the collection to the user at a certain periodic time, so that the user can select a job with a more realistic and balanced view beyond the vague fantasy and expectation of the job And the like.

As described above, the configuration and operation of the career-checking algorithm and the personalized education information recommendation system according to the present invention are described in the above description and drawings. However, the present invention is not limited to the above- And it is to be understood that various changes and modifications may be made without departing from the spirit of the invention.

100: System
110: User information collection module
110: input unit
112:
120: Recommended job group extraction module
130: Preferred occupation selection module
140: Matching module
150: Collection creation module
151: Extended information interface
152: news information generating unit
153: Occupation Promotion Division
154: Change factor analysis section
160: Target information providing module
161: Information collecting section
162: Target information extracting unit
163: Information provision
170: Community provision module
171: Collection judgment section
172: Group setting section
173: Community-based study
174: Information Sharing Department
180: Information Purchasing Module
181: Purchasing information providing service
182: Purchaser

Claims (4)

As a personalized educational recommendation system based on whole life development,
An input unit for inputting the aptitude information related to the user's personality, interest, the subject's learning ability, the comparison activity information, the learning ability information related to the education environment, and the personal information of the user from the user; A user information collection module including a storage unit in which information is classified and stored in a user information DB;
A matching rate obtained by matching the aptitude information of the user with the aptitude statistical information in a state of being linked with a job information server including aptitude statistical information statistically grasping the aptitudes of the occupational groups and the aptitudes of the persons engaged in each occupation group A recommendation job group extracting module for extracting a plurality of job groups according to comparison judgment and generating recommended job group information;
A matching module for calculating the difference between the learning ability statistical information of the preferred occupation group and the learning ability information of the user to generate matching information;
A collection creation module for receiving education information from the education information server and generating a college entrance, a subject, a comparison, and a job-related collection according to the matching information of the user in cooperation with an education information DB classified and stored for each school, ;
An information collecting unit for receiving and classifying and storing education contents and occupation contents in cooperation with any one of the education information server and the occupation information server to construct an education contents DB or a contents contents DB, A target information extracting unit that extracts content and generates target information, and an information providing unit that receives the target information and provides the information to the user based on the human information;
A purchase information providing unit for providing purchase information including an online book related to the collection provided in the collection providing module and an online education service and a purchase server capable of purchasing the purchase target online, An information module configured with a purchasing unit for online trading of objects;
A collection determining unit for storing the collection provided by the collection providing module for each user and comparing and comparing the collection of each user by a keyword matching method and a purchasing server capable of purchasing the purchase object online, An information purchasing module configured by a purchasing unit for online trading of an object;
A collection judging unit for storing and processing the collection provided by the collection providing module for each user and then comparing and comparing the collection of each user by a keyword matching method; and a selection judging unit for selecting and judging users judged to have similar collections by the collection judging unit A group setting unit for grouping users who have been grouped by the group setting unit and a group having a function of providing a unique ID and a password to a plurality of users grouped by the group setting unit, When a user of a group established through the group setting unit purchases an object to be purchased through the information purchasing module, the service providing module provides all users in the group with the interface To transfer the purchase target And a community providing module including an information sharing unit. The method according to claim 1,
The job information server includes:
It includes statistical information on learning ability, including numerical learning ability information including learning ability, major, aptitude, comparison and activities of people in each occupation group,
The matching module includes:
The function of comparing the career-related information of the user with the learning ability statistical information of each preferred occupation group to calculate the matching rate of the two, and selecting the preferred occupation group according to the comparison and comparison of the derived matching rates A personalized educational recommendation system based on the whole lifelong development. The method according to claim 1,
The target information providing module includes:
The information collection unit may further establish an excellent case DB including a successful case for a specific job or a school, a note form, and a passing grade,
Wherein the target information comprises:
Further comprising best case contents of the successful applicants who passed the specific school included in the collection in the best case DB. The method according to claim 1,
Wherein the collection providing module comprises:
A news information generating unit operable to generate news information of the recommended job in cooperation with the server, the news information updating and storing the main news of the job recommended to the user in real time,
And a keyword library for storing a keyword related to a prospect of a job and a meaning of the keyword, wherein the keyword making up the news information is compared with the keyword stored in the keyword library, and the numerically processed And an extended information interface including a job promising unit for identifying and generating job promise information,
Wherein the news information and the extension information are provided to the user through the extended information interface and provided to the user.

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