JP2012168717A - Information service system, information service server, program, information recording medium, and method of information service - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information service system and the like allowing a user to select an education curriculum by leading the user to image a development of ability after completing the education curriculum.SOLUTION: The information service system for providing a user with education information via a network includes: skill information accumulation means 121 that acquires skill information of a person before/after completing a given education curriculum and accumulates it in a storage unit as skill information; and skill information predicting means 122 that predictively calculates skill prediction information when a user having first attribute completes the given education curriculum, on the basis of skill information of the user and the skill information accumulated in the storage unit, and provides the user the skill prediction information acquired by the calculation result.

Description

  The present invention relates to an information providing system, an information providing server, a program, an information storage medium, and an information providing method.

  When a job seeker performs job hunting, it is preferable that the job seeker has the skills and knowledge necessary for the technical field required by the company. Recently, there are many schools for acquiring skills and qualifications that are advantageous for employment, and courses aimed at improving skills in various technical fields have been established.

JP 2006-78916 A

  However, it is not easy for job seekers to select the courses they need. In order to select the courses necessary for oneself, it is necessary to accurately grasp the skills required by the company and the skills of oneself, but it is not easy to examine them individually.

  Also, since objective data on how much your skills will increase after taking various courses is not provided, there was a problem that I wanted to imagine my skills after taking various courses.

  In the recruitment industry, such as finding a job or changing jobs, the job seeker and the company are interviewed at the final stage, but this can only be done by feedback from the job seeker or the recruiter of the company. It is the current situation that it is accumulated in the memory of professionals in charge of recruitment agencies as professionals, and it is the know-how of recruitment, and the contents of the interview can be used objectively and repeatedly by third parties There was a problem that it was not utilized.

  The present invention has been made in view of the technical problems as described above, and one of the purposes thereof is an information providing system that allows a user to select an educational program by imagining an improvement in ability after completing the educational program, An information providing server, a program, an information storage medium, and an information providing method can be provided.

  Another object of the present invention is to provide an information providing system, an information providing server, a program, an information storage medium, and an information providing method in which the contents of the interview can be used objectively by a third party and used in a form. It is to be.

(1) The present invention
An information providing system for providing educational information to a user via a network,
Skill information storage means for acquiring individual skill information before and after completion of a given curriculum and storing it in the storage unit as skill information;
Based on the skill information of the user having the first attribute and the skill information accumulated in the storage unit, the prediction calculation of the skill prediction information when the user completes the given education course is performed, and the calculation result is obtained. The present invention relates to an information providing system including skill information predicting means for providing skill prediction information to the user.

  The skill information may be set for each of a plurality of fields. In this case, if skill information in at least one field satisfies the configuration of the present invention, it is within the scope of the present invention.

  The skill information is a numerical value for evaluating the skill or a value indicating the level of the skill, and may be an absolute value itself or a deviation value. When skill information or the like is set for each field of a plurality of fields, a value for evaluating the skill or a value indicating the skill level may be set for each field.

  This information providing system may be, for example, a system that supports education for career formation or a human resources introduction system. For example, a system that provides education programs (for example, education programs such as IT and qualifications) to individuals who are job seekers and supports education for improving skills in various technical fields (technical fields required by companies) may be used.

  The curriculum may be content, books, classes, or supplements.

  The user having the first attribute is a user who receives the information provided by the present system, such as a student, a student, a job seeker, or a job applicant.

  The skill information may be acquired in a form in which the skill information itself is directly input from a screen on the Web, for example, or a test for performing skill evaluation on the Web is performed (for example, the Web screen) The format in which the user answers the question above) may be obtained by evaluating the test result.

  In the present invention, by acquiring and accumulating skill information of a person who has completed a given educational program, the number of samples accumulated in the storage unit is increased when the number of individuals who have taken a given educational program increases. Can do. Providing an information provision system that can increase the accuracy of skill prediction information as the number of students taking a given curriculum increases, because the calculation of skill information can be performed more accurately as the number of samples increases. can do.

  Since the user can receive provision of skill prediction information after completion of the curriculum, the user can select the curriculum, desired company, and occupation by imagining himself after skill improvement after completion of the curriculum.

(2) In this information providing system,
The skill information prediction means includes
Skill information accumulated on the basis of at least one of skill information before and after completion of the given curriculum of the individual stored in the storage unit as the skill information and profile information of the individual stored in association with the skill information The prediction calculation of skill prediction information may be performed with a weight.

  A profile information storage unit that stores personal profile information in association with the skill information may be further included.

For example, the skill information storage means
Even if the degree of weighting is determined based on the skill information of the user having the first attribute, the profile information of the user, the skill information of the individual before completion of the curriculum and the personal profile information stored in the storage unit Good. That is, weighting may be performed so that the influence degree of the skill information of the person with a similar skill value before completion of the educational program is higher.

  In this way, it is possible to obtain skill prediction information reflecting more closely the ability and profile person data close to the user having the first attribute.

(3) In this information providing system,
Recruitment information that acquires job offer information including expected skill information expected from a user having the first attribute from a user having the second attribute, and stores it in the storage unit in association with the identification information of the user having the second attribute Storage means;
Personal information storage means for acquiring personal information including skill information and profile information from a user having a first attribute, and storing the personal information in a storage unit in association with identification information of the user having the first attribute;
Matching means for searching a combination of a user having a first attribute and a user having a second attribute satisfying a given matching criterion based on the job information and the personal information,
The matching means includes
A comparison process between the skill information of the user having the first attribute and the expected skill information of the user having the second attribute may be performed, and a combination satisfying a given matching criterion may be searched based on the comparison result.

  The user having the second attribute is a user who recruits users having the first attribute, such as an employer, a company (company), or a school. The personal information may be information such as the address, name, age, gender, educational background, and qualification of the user having the first attribute.

  The job offer information may include company information, treatment information, and benefit information of the user having the second attribute.

  The profile information may include at least one information such as the address, name, age, gender, educational background, qualification, IQ value, etc. of the user having the first attribute.

  The given matching criterion may be a condition for the current skill information of the user having the first attribute, or may be a condition for the skill prediction information when the given educational program is completed.

(4) In this information providing system,
The matching processing means includes
Comparing the skill prediction information when the user having the first attribute completes the given curriculum with the expected skill information of the user having the second attribute, and based on the comparison result, the given matching criterion You may search the combination which satisfy | fills.

(5) In this information providing system,
The job information storage means includes
As the expected skill information, from the user having the second attribute, expected skill information for each field is obtained for a plurality of fields expected from the user having the first attribute, and the identification information of the user having the second attribute Is stored in the storage unit in association with
The personal information storage means includes
As the skill information, from the user having the first attribute, to obtain the expected skill information by field for the plurality of fields, accumulate in the storage unit in association with the identification information of the user having the first attribute,
The matching means includes
Comparing the field-specific skill information for the plurality of fields of the user having the first attribute and the field-specific expected skill information for the plurality of fields of the user having the second attribute, based on the comparison result, The combination that satisfies a given matching criterion may be searched.

(6) The present invention
A teaching information providing system for providing information to a user via a network,
Recruitment information that acquires job offer information including expected skill information expected from a user having the first attribute from a user having the second attribute, and stores it in the storage unit in association with the identification information of the user having the second attribute Storage means;
Personal information storage means for acquiring personal information including skill information and profile information from a user having a first attribute, and storing the personal information in a storage unit in association with identification information of the user having the first attribute;
Matching means for searching a combination of a user having a first attribute and a user having a second attribute satisfying a given matching criterion based on the job information and the personal information,
The job information storage means includes
As the expected skill information, from the user having the second attribute, expected skill information for each field is obtained for a plurality of fields expected from the user having the first attribute, and the identification information of the user having the second attribute Is stored in the storage unit in association with
The personal information storage means includes
As the skill information, from the user having the first attribute, to obtain the expected skill information by field for the plurality of fields, accumulate in the storage unit in association with the identification information of the user having the first attribute,
The matching means includes
Comparing the field-specific skill information for the plurality of fields of the user having the first attribute and the field-specific expected skill information for the plurality of fields of the user having the second attribute, based on the comparison result, The present invention relates to an information providing system that searches for the combination that satisfies a given matching criterion.

(7) In this information providing system,
The job information storage means includes
As the expected skill information, importance level information indicating the importance level for a plurality of fields is acquired from a user having the second attribute, and is stored in the storage unit in association with the identification information of the user having the second attribute,
Graph image generating means for generating a graph image based on field-specific skill information for a plurality of fields of a user having a first attribute and field-specific expected skill information for a plurality of fields of a user having a second attribute Including
The graph image generation means includes
Based on the importance level information (ratio) for a plurality of fields of the expected skill information, the display areas of the plurality of fields are assigned for the first axis direction of the graph, and the display areas assigned to the fields are A value indicated by skill information corresponding to each field of the user having the first attribute and a value indicated by expected skill information of each field of the user having the second attribute are displayed in a superimposed manner in the second axis direction. A graph image may be generated.

  The degree of importance of skills in a plurality of fields may be defined in advance, and the ratio of the length of the assigned vertical axis for each field of the graph image may be determined according to the ratio of the degree of importance.

  The horizontal axis of the graph image may be a bar graph or a line graph. In the case of the bar graph, the area difference between the bar graph of the user having the first attribute and the user having the second attribute is obtained by matching the length of the horizontal component of the bar of the bar graph in each field to the ratio of the importance of the skill. The degree of importance of the expected skill information of the second user in a plurality of fields can be reflected, and a graph image can be provided in which the degree of matching between both can be visually grasped instantaneously.

(8) In this information providing system,
The educational course may be a course taken by a user.

(9) In this information providing system,
As the curriculum, including a class providing means for providing a class of a given course,
The class providing means is:
After completing the given course, provide test questions to measure the skill information of the students of the given course, acquire the answer information for the test questions, and based on the answer information, Calculate information,
The skill information storage means includes
The calculated skill information may be acquired and stored in the storage unit.

(10) In this information providing system,
A net conference setting means for setting a net conference between a user having the first attribute and a user having the second attribute;
Net meeting recording means for recording the contents of the net meeting in at least one of recording and recording formats,
The net conference setting means includes:
Based on the search result of the matching means, extract the combination of the user having the first attribute and the user having the second attribute to be set for the net meeting, and set the schedule of the net meeting of the extracted combination,
The net meeting recording means
When recording or playing back the contents of the set net conference, mask processing for preventing individual identification may be performed for at least one of the user having the first attribute and the user having the second attribute. .

  According to this system, the contents of the interview can be accumulated in a form that can be used repeatedly by a third party in consideration of the privacy of the parties, so that know-how can be shared systematically. Become.

(11) The present invention
An information providing server for providing information to a user via a network,
Skill information storage means for acquiring individual skill information before and after completion of a given curriculum and storing it in the storage unit as skill information;
Based on the skill information of the user having the first attribute and the skill information accumulated in the storage unit, the prediction calculation of the skill prediction information when the user completes the given education course is performed, and the calculation result is obtained. The present invention relates to an information providing server including skill information predicting means for providing skill prediction information to the user.

(12) The present invention
An information providing server for providing information to a user via a network,
Recruitment information that acquires job offer information including expected skill information expected from a user having the first attribute from a user having the second attribute, and stores it in the storage unit in association with the identification information of the user having the second attribute Storage means;
Personal information storage means for acquiring personal information including skill information and profile information from a user having a first attribute, and storing the personal information in a storage unit in association with identification information of the user having the first attribute;
Matching means for searching a combination of a user having a first attribute and a user having a second attribute satisfying a given matching criterion based on the job information and the personal information,
The job information storage means includes
As the expected skill information, from the user having the second attribute, expected skill information for each field is obtained for a plurality of fields expected from the user having the first attribute, and the identification information of the user having the second attribute Is stored in the storage unit in association with
The personal information storage means includes
As the skill information, from the user having the first attribute, to obtain the expected skill information by field for the plurality of fields, accumulate in the storage unit in association with the identification information of the user having the first attribute,
The matching means includes
Comparing the field-specific skill information for the plurality of fields of the user having the first attribute and the field-specific expected skill information for the plurality of fields of the user having the second attribute, based on the comparison result, The present invention relates to an information providing server that searches for the combination that satisfies a given matching criterion.

(13) The present invention provides:
A program for providing information to a user via a network,
Skill information storage means for acquiring individual skill information before and after completion of a given curriculum and storing it in the storage unit as skill information;
Based on the skill information of the user having the first attribute and the skill information accumulated in the storage unit, the prediction calculation of the skill prediction information when the user completes the given education course is performed, and the calculation result is obtained. Skill information prediction means for providing skill prediction information to the user;
And a program for causing the computer to function.

(14) The present invention provides:
A program for providing information to a user via a network,
Recruitment information that acquires job offer information including expected skill information expected from a user having the first attribute from a user having the second attribute, and stores it in the storage unit in association with the identification information of the user having the second attribute Storage means;
Personal information storage means for acquiring personal information including skill information and profile information from a user having a first attribute, and storing the personal information in a storage unit in association with identification information of the user having the first attribute;
Based on the job information and the personal information, the computer functions as a matching means for searching for a combination of a user having a first attribute and a user having a second attribute that satisfies a given matching criterion,
The job information storage means includes
As the expected skill information, from the user having the second attribute, expected skill information for each field is obtained for a plurality of fields expected from the user having the first attribute, and the identification information of the user having the second attribute Is stored in the storage unit in association with
The personal information storage means includes
As the skill information, from the user having the first attribute, to obtain the expected skill information by field for the plurality of fields, accumulate in the storage unit in association with the identification information of the user having the first attribute,
The matching means includes
Comparing the field-specific skill information for the plurality of fields of the user having the first attribute and the field-specific expected skill information for the plurality of fields of the user having the second attribute, based on the comparison result, The present invention relates to a program for searching for a combination that satisfies a given matching criterion.

(15) The present invention provides:
A computer-readable information storage medium, which relates to an information storage medium in which the program according to claim 13 or h14 is stored.

(16) The present invention provides:
An information providing method for providing information to a user via a network using a computer,
Skill information accumulation step of acquiring individual skill information before and after completion of a given curriculum and accumulating it as skill information in the storage unit,
Based on the skill information of the user having the first attribute and the skill information accumulated in the storage unit, the prediction calculation of the skill prediction information when the user completes the given education course is performed, and the calculation result is obtained. And a skill information prediction step of providing skill prediction information to the user.

(17) The present invention provides:
An information providing method for providing information to a user via a network using a computer,
Recruitment information that acquires job offer information including expected skill information expected from a user having the first attribute from a user having the second attribute, and stores it in the storage unit in association with the identification information of the user having the second attribute An accumulation step;
Acquiring personal information including skill information and profile information from the user having the first attribute, and storing the personal information in the storage unit in association with the identification information of the user having the first attribute;
A matching step of searching for a combination of a user having a first attribute and a user having a second attribute satisfying a given matching criterion based on the job information and the personal information,
In the job information accumulation step,
As the expected skill information, from the user having the second attribute, expected skill information for each field is obtained for a plurality of fields expected from the user having the first attribute, and the identification information of the user having the second attribute Is stored in the storage unit in association with
In the personal information storage means,
As the skill information, from the user having the first attribute, to obtain the expected skill information by field for the plurality of fields, accumulate in the storage unit in association with the identification information of the user having the first attribute,
In the matching,
Comparing the field-specific skill information for the plurality of fields of the user having the first attribute and the field-specific expected skill information for the plurality of fields of the user having the second attribute, based on the comparison result, The present invention relates to an information providing method for searching for a combination that satisfies a given matching criterion.

The figure which shows schematic structure of an information provision system. The figure which shows the hardware constitutions of an information provision system. The block diagram which shows the function structure of an information provision system. The figure for demonstrating skill information. The figure for demonstrating personal information. The figure for demonstrating job offer information. A screen example of a skill evaluation test provided on the Web. The figure for demonstrating attendance history information. The figure for demonstrating expected skill information. The figure for demonstrating expected skill information. The figure for demonstrating an example of skill prediction calculation. 12 (A) and 12 (B) are diagrams for explaining an example of skill prediction calculation. The figure for demonstrating an example of a matching process. The figure for demonstrating an example of a matching process. The figure explaining the matching process performed based on skill prediction information An example of a screen for matching processing provided on the Web. An example of a screen for matching processing provided on the Web. The flowchart which shows the flow of a process of skill prediction information calculation. The flowchart which shows the flow of a matching process. The flowchart which shows the flow of a matching other party search process.

1. Configuration An embodiment to which the present invention is applied will be described below with reference to the drawings. In addition, the Example shown below does not limit the content of the invention described in the claim at all. In addition, all the configurations shown in the following embodiments are not necessarily essential as means for solving the invention described in the claims.

  FIG. 1 is a diagram for explaining the configuration of the information providing system of the present embodiment. The information provision system of this embodiment is good also as a structure which abbreviate | omitted a part of the said component (each part).

  The information providing system 1 in a narrow sense includes a server 100 that executes various information providing processes and the like described later. The server 100 may be configured by a single server device, or may be configured by a plurality of server devices or database devices and performing processing in a distributed manner. Further, the information providing system 1 in a broad sense includes user terminals 10-1, 10-2, 10-3 having the first attribute used by users (individuals, job seekers, etc.) having the first attribute of the information providing system. .., User terminals 10-1, 10-2, 10-3,... Of second attributes used by users (businesses) of the second attribute of the information providing system may be included.

  The user terminals 10-1, 10-2, 10-3,... Of the first attribute, the user terminals 20-1, 20-2, 20-3,. It can be realized with a personal computer. These have the same function (the same program is installed), and may function as a user terminal having the first attribute or a user terminal having the second attribute, for example, depending on the input user ID.

  Of the server 100 and user terminals 10-1, 10-2, 10-3,... Of the first attribute, and user terminals 20-1, 20-2, 20-3,. Communicate with an information processing terminal via a predetermined communication network 30 (which may be any of LAN, the Internet, a dedicated line, a packet communication network, a combination thereof, and includes both wired and wireless). It is configured.

  Such an information providing system 1 can be configured using, for example, the technology of a conventional Web application server system. In this case, the server 100 functions as a Web server, an AP (application) server, and a database server. When a predetermined request transmitted according to, for example, the HTTP protocol is received from each information processing terminal functioning as a client, the server 100 responds to the predetermined request. The corresponding process is performed, and the processing result is transmitted to each information processing terminal. Each information processing terminal is mounted with a Web browser, for example, and transmits a predetermined request to the server 100 according to the operation of a user (a user with the first attribute or a user with the second attribute). When the processing result is received, it is displayed on the Web browser.

  The server 100 and various information processing terminals are in an environment where a part or all of the information providing program can be executed, and the various information processing terminals and the server 100 communicate with each other via the network 30, and a part of the information providing program or It is within the scope of the present invention to implement all processing in a distributed manner. In addition, a form in which all the processing is performed by the server 100 and the user uses the processing result as a service via the network, that is, a form in which the processing is realized by cloud computing (a form of using a computer based on a network, particularly the Internet) is also included Within range.

  FIG. 2 is a block diagram illustrating a hardware configuration of the server (information providing system) 100. The server 100 can be configured by a general-purpose computer including hardware such as a CPU, ROM, RAM, HDD, external storage device, user interface, display, printer, and communication interface. The server (information providing system) 100 may be configured by a single computer or may be configured by a plurality of computers distributed on a network.

  FIG. 3 is a functional block diagram showing a configuration of the server (information providing system) 100. As shown in FIG. 3, the server (information providing system) 100 includes an educational effect information storage unit 140, a job offer information storage unit 150, a personal information storage unit 150, a net conference information storage unit 170, a communication processing unit 110, and a control unit 120. It is comprised including. Each of these units is realized by a CPU, a ROM, a RAM, an HDD, an external storage device, and the like.

  The control unit 120 includes a skill information storage unit 121, a skill information prediction unit 122, a job offer information storage unit 123, a personal information storage unit 124, a matching unit 125, a class providing unit 126, a graph image providing unit 127, a net conference setting unit 128, Functions as the net meeting recording unit 129, and is realized by the CPU executing a predetermined program (such as a program defining the career education course support method of the present invention) stored in a ROM, RAM, HDD, external storage device or the like. Is done.

  The user terminal 10 having the first attribute includes an input device such as a keyboard and an output device such as a display and a printer, and accepts input from a user having the first attribute (individual, job seeker, etc.) using the system 1. At the same time, the information can be output to the user. As such an information processing terminal 10, a general personal computer or a portable terminal can be used.

  The user terminal 10 having the first attribute may function as a terminal provided with a class of a given course.

  The user terminal 20 having the second attribute includes an input device such as a keyboard and an output device such as a display and a printer, and accepts an input from a user having the second attribute (such as a person in charge of a company) who uses the system 1. At the same time, the information can be output to the user. As such an information processing terminal 20, a general personal computer or a portable terminal can be used.

  The skill information accumulating unit 121 acquires individual skill information before and after completion of a given educational program, accumulates it as skill information in the personal information storage unit 140, and the skill information predicting unit 122 sets the first attribute. Based on the skill information of the user and the skill information accumulated in the personal information storage unit 140, the prediction of the skill prediction information when the user completes the given educational course is performed, and the skill prediction obtained as a result of the calculation Information is provided to the user.

  The skill information predicting means 122 is the personal information stored in the personal information storage unit 140 as the skill information before and after completion of the given educational program, and the personal profile information stored in association with the skill information. The skill prediction information is weighted to the skill information accumulated based on at least one of them to perform prediction calculation of the skill prediction information.

  The job offer information storage unit 123 acquires job offer information including expected skill information expected from the user having the first attribute from the user having the second attribute, and associates it with the identification information of the user having the second attribute. Accumulate in storage.

  The personal information storage means 124 acquires personal information including skill information and profile information from a user having the first attribute, and stores it in the storage unit in association with the identification information of the user having the first attribute.

  The matching unit 125 searches for a combination of a user having a first attribute and a user having a second attribute that satisfies a given matching criterion based on the job offer information and the personal information. The matching unit 125 performs a comparison process between the skill information of the user having the first attribute and the expected skill information of the user having the second attribute, and searches for a combination satisfying a given matching criterion based on the comparison result May be.

  The matching processing means 125 performs a comparison process between the skill prediction information when the user having the first attribute completes the given curriculum and the expected skill information of the user having the second attribute, and based on the comparison result A combination that satisfies a given matching criterion may be searched.

  The job information storage unit 123 acquires, as the expected skill information, expected skill information for each field for a plurality of fields expected from the user having the first attribute from the user having the second attribute, The personal information accumulating unit 124 stores, as the skill information, expected skill information for each of the plurality of fields from the user in association with the identification information of the user having the attribute. Acquired and stored in the storage unit in association with the identification information of the user having the first attribute, the matching means 125, the skill information for each field for the plurality of fields of the user having the first attribute, the second attribute The combination that satisfies the given matching criterion based on the comparison result with the comparison with the expected skill information for each field for a plurality of fields of users having It may search.

  The job recruitment information storage unit 123 acquires, as the expected skill information, importance level information indicating the importance level for a plurality of fields from a user having the second attribute, and associates it with identification information of the user having the second attribute. The graph image generating means 127 stores the skill information for each field for the plurality of fields of the user having the first attribute and the expected skill for each field for the plurality of fields of the user having the second attribute. A graph image is generated based on the information. The graph image generation unit 127 assigns display areas of the plurality of fields in the first axis direction of the graph based on the importance degree information (ratio) for the plurality of fields of the expected skill information, and assigns the display areas to the respective fields. In the allocated display area, the value indicated by the skill information corresponding to each field of the user having the first attribute and the value indicated by the expected skill information of each field of the user having the second attribute are displayed on the second axis. A graph image displayed in a superimposed manner may be generated.

  The class providing means 128 provides a class for a given course as the curriculum, and provides a test question for measuring skill information of the students of the given class after completion of the given class. Then, the answer information for the test question is obtained, and the skill information of the student is calculated based on the answer information, and the skill information storage unit 121 acquires the calculated skill information and stores it in the personal information storage unit 140. May be.

  The net conference setting unit 128 sets a net conference between the user having the first attribute and the user having the second attribute, and the net conference recording unit 129 records at least one of the recording and recording of the contents of the net conference. Record in format. The net meeting setting unit 128 extracts a combination of the user having the first attribute and the user having the second attribute, which is a target of setting the net meeting, based on the search result of the matching unit. The network conference recording means 129 is configured to record individual or at least one of a user having the first attribute and a user having the second attribute when recording or reproducing the content of the set network conference. Mask processing may be performed to prevent the identification.

  In the net meeting information storage unit 160, video recording or recording information of the net meeting is stored. The recorded video conference information or recorded information may have been subjected to mask processing for preventing individual identification.

2. Specific Example of System Hereinafter, for an example of the information providing system 1, a system for providing education support for job seekers (an example of a user with a first attribute) and introducing a human resource for a company (an example of a user with a second attribute) An example will be described.

2-1. Skill Information and Personal Information FIG. 5 is a diagram for explaining personal information according to the present embodiment.

  In this embodiment, an individual (for example, a student or a student reserve army or a job seeker. An example of a user having a first attribute) may be a company (for example, a company, an example of a user having a second attribute). Prepare a course (an example of a given curriculum) that can be taken in order to improve the skills of the technical field (eg, programming field, network field, server field, LINUX field) before and after attending the course. Accumulate skill information. The skill information 240 may be stored in the personal information storage unit as the personal information 210 in association with the personal identification ID (identification information of the user having the first attribute) 220.

  As personal information 210, personal profile information (age, gender, educational background, etc.) may be associated with the personal identification ID 220 and stored in the personal information storage unit.

  Further, as personal information 210, personal attendance history information (learning history of provided courses) 250 may be associated with the personal identification ID 220 and stored in the personal information storage unit.

  FIG. 4 is a diagram for explaining skill information.

  The skill information may have data at a plurality of points in time for each individual. For example, as shown in FIG. 4, for each individual, a plurality of data having different measurement points and declaration points (data acquisition date 242, IQ test value 243, programming skill value 244, server skill value 245, network skill value 246, English skill value 247, communication ability value 248, etc.) may be stored in association with the data acquisition date 242 or the data number 241.

  The various skill values stored as skill information are numerical values for evaluating skills and values indicating skill levels, and may be absolute values themselves or deviation values.

  FIG. 7 is a screen example of a skill evaluation test provided on the Web.

  The user terminal 10 having the first attribute according to the present embodiment may provide a skill test screen as shown in FIG.

  For example, in the user terminal 10 having the first attribute, a test question for measuring a skill in a given field as shown in FIG. 7 is provided, and answer information for the test question is acquired and based on the answer information. The skill information of the individual may be calculated.

  Before attending a given course, a test question for measuring skill information of an individual (an example of a user having the first attribute) is provided, and the individual (first attribute) is based on the answer information for the test question. Skill information of the user) may be calculated, and the calculated skill information may be stored in the storage unit together with the measurement date information (data acquisition date 242).

  In addition, after completing a given course, a test question for measuring skill information of an individual (an example of a user having the first attribute) is provided, and the individual (first attribute) is determined based on answer information for the test question. Skill information of the user) may be calculated, and the calculated skill information may be stored in the storage unit together with the measurement date information (data acquisition date 242).

  For example, the data number “0001” is the first skill information of the individual (for example, all skill information before attending the course), and the data number “0002” is the second skill information of the individual (for example, skill information after attending the course A, for example). ). In this way, change information of individual skill information before and after attending a given course can be obtained.

FIG. 8 is a diagram for explaining attendance history information.

  As shown in FIG. 8, the attendance history information may store the attendance status of each individual course (course A, course B,...) Attended in association with the individual identification ID 220 for each individual. As the attendance status, for example, when there is no attendance, a predetermined numerical value (for example, 0) may be stored, and when attendance is attended, the attendance end date (ymd1, ymd2) may be stored. In this way, by memorizing the end date of attendance of each course, the data acquisition date 242 of skill information about the given individual and the record of the end date of attendance of the given course of the individual are given. Data of individual skill information before and after taking a given course can be specified.

2-2. Job Recruitment Information, Expected Skill Information, Personal Information FIG. 6 is a diagram for explaining the job recruitment information of the present embodiment.

  In the present embodiment, expected skill information 280 and company information (company address, company address, etc.) expected from an individual (for example, a user having the first attribute such as a job seeker) from a company (an example of a user having the second attribute). Information on employee data, etc.) 290 may be acquired and stored in the storage unit in association with the company identification ID (an example of user identification information having the second attribute) 270.

  9 and 10 are diagrams for explaining expected skill information.

  Expected skill information relates to skill information that a company (an example of a user having the second attribute) expects of an individual (an example of a user having the first attribute). For example, each field (IQ test, programming, server, Expected skill value expected as skill value of network, English, communication ability). The expected skill value is a numerical value for evaluating a skill or a value indicating a skill level, and may be an absolute value itself or a deviation value.

  For example, as shown in FIG. 10, the expected skill value of each field (IQ test 273, programming 274, server 275, network 276, English 277, communication ability 278) is stored in association with the company identification ID 270 of each company. Good.

  Further, for example, importance level information indicating the importance level for a plurality of fields may be included. The importance degree information may be ratio information of the importance degree for a plurality of fields requested by the company. For example, when the ratio of the importance level of each field is IQ test: programming: server: network: English: communication ability = 2: 1: 1: 1: 3: 2, this value is stored as the specific gravity of each field. You may let them. Further, assuming that the total is 100, the ratio of each field expressed as a percentage may be stored as the specific gravity of each field.

  For example, as shown in FIG. 9, the specific gravity (ratio value and ratio of each field (IQ test 273, programming 274, server 275, network 276, English 277, communication ability 278)) in association with the company identification ID 270 of each company. (Value expressed as percentage) 271 and expected skill value 272 may be stored as a set.

2-3. Skill Information Prediction In this embodiment, the skill when the user completes a given educational course based on the skill information of the user having the first attribute (job seeker) and the skill information accumulated in the storage unit Performs information prediction calculations.

  FIGS. 11, 12 (A) and (B) are diagrams for explaining an example of the skill prediction calculation.

  A case where skill information prediction is performed when a user having the first attribute has taken course A will be described. Here, as skill information, scores relating to skills in a predetermined field before and after taking course A (for example, skill value 244 for programming in FIG. 4, skill value 245 for server, skill value 246 for network, English skill value 247, communication ability value) Any of H.248) and IQ test values may be used. Further, personal profile information 230 corresponding to skill information may be extracted, and the educational background and age included in the profile information may be converted into deviation values.

  First, based on the attendance history information 250, skill information before and after attending the course A and profile information are extracted from the skill information stored in the personal information storage unit.

  360, 362, and 364, calculation results of estimated score deviation values of users (CAND) corresponding to the extracted students “S001”, “S002”, and “S00n”.

  For example, the IQ deviation value of the extracted individual (ANY) “S001” is “75” (refer to IQ 301 of ANY), and the score deviation value regarding the skill in a predetermined field before attending Course A is “40” (refer to the initial score 303 of ANY) ), The score deviation value for skills in a given field after attending Course A is “95” (see score 305 after completing ANY Course A), the educational deviation value is “75” (see ANY Student Register 302), and the age deviation value Is “40” (see ANY age tag 304).

  The IQ deviation value of the user (CAND) who performs skill information prediction is “63” (refer to IQ 301 of CAND), and the score deviation regarding skills in a predetermined field before attending the course A is “58” (refer to initial score 303 of CAND). ), The educational deviation value is “68” (see CAND's school register 302), and the age deviation value is “48” (see CAND's age deviation value 304).

  Based on the student “S001” in such a case, the estimated score deviation value regarding the skill in the predetermined field after attending the course A of the user (CAND) (refer to the score 305 after completing the course A of CAND) is obtained as follows. Also good.

  First, the proximity of an individual (ANY) and a user (CAND) is obtained.

Proximity = 100−standard deviation value and difference between user (CAND) and individual (ANY) × 2
The proximity may be obtained for each of the items 301 to 305 (see 307). Based on the degree of proximity 307 of each item, the degree of proximity 308 relating to skills in a predetermined field after taking the course A is estimated. For example, the simple average value of the proximity 307 of each item may be used as the proximity 308 related to the skill in a predetermined field after attending the course A, or the average value obtained by giving a predetermined weight to the proximity 307 of the item after the attendance of the course A It is good also as the proximity 308 regarding the skill of a predetermined field | area.

Estimated score deviation value of user (CAND) (361) =
Individual (ANY) score deviation value (306) x Proximity (308) / 100
Even if the above calculation is performed on a plurality of samples extracted from the storage unit (data of a plurality of people who have taken course A), the estimated score deviation value of the user (CAND) is obtained based on the estimated score deviation values of the plurality of samples. Good.

  This calculation is performed, and the extracted score deviation values 361, 363, and 364 of the user (CAND) corresponding to the sex are calculated for all the extracted students.

  Then, based on the calculated distribution of estimated score deviation values, a user skill prediction value is calculated. For example, as shown in FIG. 12A, an estimated score deviation value is taken on the horizontal axis, the number of samples is taken on the vertical axis, and a bell curve (normal distribution) is created from the histogram of the above sample. Also good. Further, as shown in FIG. 12B, a standardized bell curve 370 may be substituted. Based on the sample distribution created in this manner, the skill prediction value of the user (CAND) may be obtained. For example, the value of the most frequently distributed region of the sample may be used as the user skill prediction value.

2-4. Matching process and graph image In this embodiment, a comparison process is performed between the skill information of the user having the first attribute and the expected skill information of the user having the second attribute. Based on the comparison result, a given matching criterion A matching process for searching for the combination satisfying the above is performed.

  The matching process may be performed based on the current skill information of the user having the first attribute, or may be performed based on skill prediction information when it is assumed that a predetermined course has been taken, for example.

  13 and 14 are diagrams for describing an example of the matching process.

  FIG. 13 is a graph image showing a matching result between the student (user having the first attribute) S1 and the company (user having the second attribute) K1.

  Regarding the vertical axis of the graph image (an example of the first axis), there are a plurality of fields (in this case, field 1, field 2, field 3...) Of the expected skill information of company K1, for example, programming and server values in FIG. , Network, English, and communication ability may be used), display areas for a plurality of fields are allocated based on the importance level information (specific gravity in FIG. 9). For example, when the importance level (specific gravity in FIG. 9) of the field 1, field 2, field 3, field 4, and field 5 of the company K1 is 4: 2: 2: 1: 1, the display area for each field The ratio of the length in the vertical direction is set to l1: l2: l3: l4; l5 = 4: 2: 2: 1: 1.

  Then, in the display area assigned to each field, skill information corresponding to each field of the student S1 (for example, Q test value 243, programming skill value 244, server skill value 245, network skill value 246, English skill value 247, communication ability value 248, etc.) and expected skill information of each field of company K1 (for example, IQ test 273, programming 274, server 275, network 276, English 277, communication ability 278 of FIG. 9) Any one of the expected skill values) may be generated in a superimposed manner as a bar graph on the horizontal axis (second axis direction).

  310, 320, 330, 340, and 350 are expected skill values corresponding to each of the field 1, field 2, field 3, field 4, and field 5 of the company K1, "7" "6" "5" "4" A display area (a company's expected skill display area) when “3” is a bar graph is shown.

  312, 322, 332, 342, and 352 are skill values corresponding to each of the field 1, the field 2, the field 3, the field 4, and the field 5 of the student S 1, “9” “7” “6” “5” “ 6 ”shows a difference display area between the skill display area when the bar graph is“ 6 ”and the expected skill display area of the company K1. In FIG. 13, since the skill value of the student S1 exceeds the expected skill value of the company K1 in all fields, the difference display areas 312, 322, 332, 342, and 352 are referred to as positive difference display areas. The reverse case is called a negative difference display area.

  As the area of the positive difference display area is larger, the skill of the student S1 exceeds the skill expected by the company K1.

  Next, an example of how to obtain the matching rate will be described. When finding the matching rate, based on the vertical ratio value and the horizontal skill value (in the case of students) or expected skill value (in the case of company), the area of the bar graph for each field of company K1 is integrated. Then, “57” which is the area of the expected skill display area of the company K1 is obtained, and the area of the bar graph for each field of the first student S1 is integrated to obtain “73” which is the area of the skill display area of the student S1. And you may obtain | require a matching rate with the following formula | equation.

Matching rate =
Area of student skill display area / area of expected skill display area of company In the case of FIG. 13, the matching rate is 73/57 = 18.1%. Since the area of the bar graph reflects the ratio of the degree of importance to each field, matching that reflects the degree of importance expected by the company for each field can be performed.

  Further, it is possible to provide a graph image in which the matching rate can be easily grasped visually from the area of the skill display area of the student and the area of the skill display area of the company.

  FIG. 14 is a graph image showing a matching result between a student (an example of a user having the first attribute) S2 and a company (an example of a user having the second attribute) K1.

  316, 326, 336, 346, and 356 are skill values corresponding to each of the field 1, the field 2, the field 3, the field 4, and the field 5 of the student S2, “8” “4” “1” “5” “ 3 ”is a skill display area when the bar graph is displayed, and“ 7 ”,“ 6 ”,“ 5 ”,“ 7 ”are expected skill values corresponding to each of the field 1, field 2, field 3, field 4, and field 5 of the company K1. A difference display area from the expected skill display area when “4” and “3” are bar graphs is shown.

  In FIG. 14, in field 1, field 4, and field 5, since the skill value of student S2 exceeds the expected skill value of company K1, difference display areas 316, 346, and 356 are positive difference display areas. In the field 2 and field 3, since the skill value of the user S2 having the first attribute is lower than the expected skill value of the user K1 having the second attribute, the difference display areas 326 and 336 are displayed in the negative difference display. It becomes an area.

  As the area of the difference area is larger, the skill expected by the company is different from the skill value of the student, but the positive difference display area and the negative difference display area can be offset.

  The area of company K1's bar graph is integrated to obtain “57”, which is the area of the expected skill display area of company K1, and the area of the bar graph of student S2 is integrated to obtain “50”, which is the area of the skill display area of student S2. " In the above formula, the matching rate is 50/57 = 87.7%.

  FIG. 15 is a diagram illustrating a matching process performed based on skill prediction information.

  410 is a graph image showing a matching result between the student S2 and the company K1. According to the graph image 410, in the field 2 and the field 3, the skill value of the student S2 is lower than the expected skill value of the company K1, so the student S2 has a predetermined course related to the skill in the field 2 and the field 3 ( It is preferable to improve skills in Field 2 and Field 3 by taking a single course or multiple accounts).

  Therefore, skill prediction is performed when the student S2 has taken a predetermined course related to the skills of the field 2 and the field 3 (one course may be a plurality of accounts), and matching processing is performed based on the skill prediction information. You may do.

  420 is a graph image showing a matching result between the skill prediction information of the student S2 and the company K1.

  The portions 422 and 424 generate a bell curve as shown in FIG. 12B, for example, based on the skill information of a person who has taken a predetermined course (one course or a plurality of accounts). You may display so that it may become lighter as it goes to the right from the median value. For example, in the field 2, the median part of the bell curve is “7.9” (see 423), and in the field 3, the median part of the bell curve is “6” (see 425).

  When the matching rate is calculated based on the skill prediction information, it becomes 118.9%. In this way, by generating a graph image based on skill prediction information and providing a matching result based on skill prediction information to the student, the student is motivated to attend a predetermined course, and imagines after learning Can make company choices.

  16 and 17 are examples of matching processing screens provided on the Web.

  FIG. 16 is a matching screen displayed on the user terminal having the first attribute, the user terminal having the second attribute, and the like. For example, when the student ID 512 and the student name 513 are specified and the search button 518 is clicked, as shown by 515, the student (user having the first attribute) specified by the student ID 512 and the student name 513, A matching degree list 515 of the company (user having the second attribute) is displayed. The match degree list may display all the results of the student and all the companies stored in the job information storage unit, or may display only the companies that satisfy the predetermined matching criteria. The predetermined matching criterion may be, for example, a criterion such as a matching degree value of x or more, or may be displayed by selecting those satisfying other conditions (for example, job recruiting conditions for companies other than skills).

  Further, for example, when the company name 514 is specified and the search button 518 is clicked, a matching degree list of the company (user having the second attribute) specified by the company name 514 and the student (user having the first attribute) is displayed. Is displayed. According to the present embodiment, matching is performed based on objective numerical data, so that the company can easily find human resources that are close to their needs.

  The match degree list may display all the results of the student and all the companies stored in the job information storage unit, or may display only the companies that satisfy the predetermined matching criteria. The predetermined matching criterion may be, for example, a criterion such as a matching degree value of x or more, or may be displayed by selecting those satisfying other conditions (for example, job recruiting conditions for companies other than skills).

  If detailed information on the matching result is desired, clicking on the matching level column 516 of the desired result in the matching result list displays a detailed information screen for the matching level as shown in FIG. On the detailed information screen, a bar graph or a table displaying the skill value of the student and the expected skill value of the company for each field may be displayed.

  Currently, the matching success rate is low and it is difficult for companies to find the talent they want. However, according to the present embodiment, since the job seeker's skill and the company's expected skill can be accurately matched, it is possible to provide a system useful for both the company and the job seeker.

2-5. Net Conference Setting In this embodiment, a network conference (job seeker and company manager) of job seekers and students (users having the first attribute) and company personnel (users having the second attribute) (Interview) may be set. Based on the matching result of the matching process, a combination of a job seeker and a company that is a target of an internet conference may be selected. For example, when the matching rate between the job seeker's skill information and the company's expected skill information is high (when a predetermined standard is satisfied), an internet conference may be set. For example, a desired date for a job seeker's net conference and a desired date for a company's net conference may be registered in advance, and a schedule that can be held may be automatically determined based on the registered desired dates. The net meeting setting trigger may be a net meeting setting request (requested on the WEB) of a job seeker or a person in charge of the company, for example, when the matching degree satisfies a predetermined standard on a matching screen or the like It is also possible to apply for a net conference and set the net conference when an application is made.

  The network conference schedule may be notified by e-mail or user terminal, etc., and by pressing a button such as “Chat” on the network terminal at the set date and time, the Internet conference for participation may be started from many locations. .

  Note that the net conference itself may be realized by an existing tool or software (such as Skype). However, when recording or playing back the contents of a net conference, it is preferable to perform mask processing for preventing identification of individuals at least on the job seeker side.

  As a mask process for preventing individual identification, voice recording may be automatically performed using a default and random conversion function, and recording may be performed. In this way, it can be used as verification data for job seekers without infringing on privacy.

  According to the present embodiment, in consideration of the privacy of others, the contents of the interview can be accumulated objectively and repeatedly by third parties, so that know-how can be shared systematically. become able to.

  Note that not only the job seeker side but also the person in charge on the company side may perform mask processing for preventing the identification of individuals.

  Further, for example, the person in charge on the company side may specify the company name and perform the matching process (for example, specify the company name 514 in FIG. 16) to arrange the interviews in the order of people with the highest matching rate. In this way, interviews can be conducted regardless of the job seeker's address and location, and there is no need to change seats or get to the outside of the room to wait, so many interviews can be performed very efficiently. Can do.

3. Processing of the Present Embodiment FIG. 18 is a flowchart showing the flow of processing of skill prediction information calculation of the present embodiment.

  A process in the case of performing a skill prediction calculation when a student (a user having the first attribute) takes a given course will be described.

  First, based on student attendance history information stored in the personal information storage unit, students who have taken a given course are extracted (step S10).

  Next, for all the extracted students, skill information and other ability information (IQ test, etc.) and profile information (age, educational background, etc.) before the given course of the extracted student (i) and the extracted student (i) Based on the above, the degree of proximity between the user and the student (i) is obtained, and based on the skill information and the degree of proximity of the student (i) after attending a given course, the estimated score deviation value in relation to the student (i) ( i) is calculated (steps S20 and S30).

  Then, based on the distribution of estimated score deviation values calculated for all the extracted students, the predicted skill value of the user after attending a given course is obtained (step S40).

  FIG. 19 is a flowchart showing a flow of matching processing according to the present embodiment.

  A process for obtaining a matching rate between a given student registered in the personal information storage unit and a given company registered in the job information storage unit will be described.

  A weighted skill value obtained by weighting a skill value of a given student in a plurality of fields by a specific gravity of a corresponding field of a given company is obtained (step S110). Further, a weighted expected skill value obtained by weighting the expected skill values of a plurality of fields of a given company by the specific gravity of the corresponding field of the given company is obtained (step S120).

  Then, a matching rate between a given student and a given company is obtained based on the weighted skill value and the weighted expected skill value (step S130).

  FIG. 20 is a flowchart showing a flow of matching partner search processing according to the present embodiment.

  A process in the case where a given student is designated and a company matching the student is searched on the WEB screen (for example, FIG. 16) will be described.

  Student information to be matched is received (step S210). For example, the student ID (corresponding to the personal identification ID) specified in FIG. 16 is received, and the skill information with the sex is read from the personal information storage unit.

  Next, the following processing is performed until the processing is completed for all companies. First, the expected skill information of the company (k) is read, and a weighted skill value obtained by weighting the skill values of a plurality of fields of the matching target student with the specific gravity of the corresponding field of the company (k) is obtained (step S220). Next, a weighted expected skill value (k) obtained by weighting the expected skill values of the plurality of fields of the company (k) by the specific gravity of the corresponding field of the company (k) is obtained (step S230). Based on the weighted expected skill value (k) with the weighted skill value, the matching rate between the matching target student and the company (k) is obtained (step S240).

  When the above processing is completed for all the companies (step S250), the companies whose matching rate satisfies a predetermined standard are extracted (step S260).

  In addition, this invention is not limited to this embodiment, A various deformation | transformation implementation is possible within the range of the summary of this invention.

  In the above embodiment, the explanation has been made by taking the system focusing on the education of job seekers as an example, but the present invention is not limited thereto. For example, a system that introduces human resources to companies, a system that introduces companies to job seekers, a human resource introduction system that introduces companies and job seekers, and a human resource dispatch system that dispatches companies. It is possible and within the scope of the present invention.

  It should be noted that human skill information previously adopted by companies may also be accumulated in a database and utilized when introducing human resources. In this way, the skill threshold value of the candidate to be introduced next time can be known, and human resources can be introduced more reflecting the needs of the company.

1 Information providing system 10-1, 10-2, 10-3 User terminal of first attribute Information processing system 20-1, 20-2, 20-3 User terminal of second attribute Information processing system 100 Server, 110 Communication control unit, 120 control unit, 121 skill information storage unit, 122 skill information prediction unit, 123 recruitment information storage unit, 124 personal information storage unit, 125 matching unit, 126 class providing unit, 127 graph image providing unit, 128 net conference Setting means, net meeting recording means, 140 personal information storage section, 150 job offer information storage section, 160 net meeting information storage section

Claims (17)

An information providing system for providing information to a user via a network,
Skill information storage means for acquiring individual skill information before and after completion of a given curriculum and storing it in the storage unit as skill information;
Based on the skill information of the user having the first attribute and the skill information accumulated in the storage unit, the prediction calculation of the skill prediction information when the user completes the given education course is performed, and the calculation result is obtained. Skill information prediction means for providing skill prediction information to the user. In claim 1,
The skill information prediction means includes
Skill information accumulated on the basis of at least one of skill information before and after completion of the given curriculum of the individual stored in the storage unit as the skill information and profile information of the individual stored in association with the skill information Information provision system that performs prediction calculation of skill prediction information by weighting In claim 1 or 2,
Recruitment information that acquires job offer information including expected skill information expected from a user having the first attribute from a user having the second attribute, and stores it in the storage unit in association with the identification information of the user having the second attribute Storage means;
Personal information storage means for acquiring personal information including skill information and profile information from a user having a first attribute, and storing the personal information in a storage unit in association with identification information of the user having the first attribute;
Matching means for searching a combination of a user having a first attribute and a user having a second attribute satisfying a given matching criterion based on the job information and the personal information,
The matching means includes
An information providing system that performs a comparison process between skill information of a user having a first attribute and expected skill information of a user having a second attribute, and searches for a combination that satisfies a given matching criterion based on the comparison result. In claim 3,
The matching processing means includes
Comparing the skill prediction information when the user having the first attribute completes the given curriculum with the expected skill information of the user having the second attribute, and based on the comparison result, the given matching criterion An information provision system that searches for combinations that satisfy the criteria. In any one of Claims 1 thru | or 4,
The job information storage means includes
As the expected skill information, from the user having the second attribute, expected skill information for each field is obtained for a plurality of fields expected from the user having the first attribute, and the identification information of the user having the second attribute Is stored in the storage unit in association with
The personal information storage means includes
As the skill information, from the user having the first attribute, to obtain the expected skill information by field for the plurality of fields, accumulate in the storage unit in association with the identification information of the user having the first attribute,
The matching means includes
Comparing the field-specific skill information for the plurality of fields of the user having the first attribute and the field-specific expected skill information for the plurality of fields of the user having the second attribute, based on the comparison result, An information providing system for searching for the combination satisfying a given matching criterion. An information providing system for providing educational information to a user via a network,
Recruitment information that acquires job offer information including expected skill information expected from a user having the first attribute from a user having the second attribute, and stores it in the storage unit in association with the identification information of the user having the second attribute Storage means;
Personal information storage means for acquiring personal information including skill information and profile information from a user having a first attribute, and storing the personal information in a storage unit in association with identification information of the user having the first attribute;
Matching means for searching a combination of a user having a first attribute and a user having a second attribute satisfying a given matching criterion based on the job information and the personal information,
The job information storage means includes
As the expected skill information, from the user having the second attribute, expected skill information for each field is obtained for a plurality of fields expected from the user having the first attribute, and the identification information of the user having the second attribute Is stored in the storage unit in association with
The personal information storage means includes
As the skill information, from the user having the first attribute, to obtain the expected skill information by field for the plurality of fields, accumulate in the storage unit in association with the identification information of the user having the first attribute,
The matching means includes
Comparing the field-specific skill information for the plurality of fields of the user having the first attribute and the field-specific expected skill information for the plurality of fields of the user having the second attribute, based on the comparison result, An information providing system for searching for the combination satisfying a given matching criterion. In claim 5 or 6,
The job information storage means includes
As the expected skill information, importance level information indicating the importance level for a plurality of fields is acquired from a user having the second attribute, and is stored in the storage unit in association with the identification information of the user having the second attribute,
Graph image generating means for generating a graph image based on field-specific skill information for a plurality of fields of a user having a first attribute and field-specific expected skill information for a plurality of fields of a user having a second attribute Including
The graph image generation means includes
Based on the importance level information (ratio) for a plurality of fields of the expected skill information, the display areas of the plurality of fields are assigned for the first axis direction of the graph, and the display areas assigned to the fields are A value indicated by skill information corresponding to each field of the user having the first attribute and a value indicated by expected skill information of each field of the user having the second attribute are displayed in a superimposed manner in the second axis direction. An information provision system that generates graph images. In any one of Claims 1 thru | or 7,
The educational program is an information providing system that is a course that a user takes. In claim 8,
As the curriculum, including a class providing means for providing a class of a given course,
The class providing means is:
After completing the given course, provide test questions to measure the skill information of the students of the given course, acquire the answer information for the test questions, and based on the answer information, Calculate information,
The skill information storage means includes
An information providing system that acquires calculated skill information and accumulates it in a storage unit. In any one of Claims 1 thru | or 9,
A net conference setting means for setting a net conference between a user having the first attribute and a user having the second attribute;
Net meeting recording means for recording the contents of the net meeting in at least one of recording and recording formats,
The net conference setting means includes:
Based on the search result of the matching means, extract the combination of the user having the first attribute and the user having the second attribute to be set for the net meeting, and set the schedule of the net meeting of the extracted combination,
The net meeting recording means
An information providing system for performing mask processing for preventing identification of an individual for at least one of a user having the first attribute and a user having the second attribute when recording or reproducing the contents of the set net conference . An information providing server for providing information to a user via a network,
Skill information storage means for acquiring individual skill information before and after completion of a given curriculum and storing it in the storage unit as skill information;
Based on the skill information of the user having the first attribute and the skill information accumulated in the storage unit, the prediction calculation of the skill prediction information when the user completes the given education course is performed, and the calculation result is obtained. Skill information prediction means for providing skill prediction information to the user, an information providing server. An information providing server for providing information to a user via a network,
Recruitment information that acquires job offer information including expected skill information expected from a user having the first attribute from a user having the second attribute, and stores it in the storage unit in association with the identification information of the user having the second attribute Storage means;
Personal information storage means for acquiring personal information including skill information and profile information from a user having a first attribute, and storing the personal information in a storage unit in association with identification information of the user having the first attribute;
Matching means for searching a combination of a user having a first attribute and a user having a second attribute satisfying a given matching criterion based on the job information and the personal information,
The job information storage means includes
As the expected skill information, from the user having the second attribute, expected skill information for each field is obtained for a plurality of fields expected from the user having the first attribute, and the identification information of the user having the second attribute Is stored in the storage unit in association with
The personal information storage means includes
As the skill information, from the user having the first attribute, to obtain the expected skill information by field for the plurality of fields, accumulate in the storage unit in association with the identification information of the user having the first attribute,
The matching means includes
Comparing the field-specific skill information for the plurality of fields of the user having the first attribute and the field-specific expected skill information for the plurality of fields of the user having the second attribute, based on the comparison result, An information providing server that searches for the combination that satisfies a given matching criterion. A program for providing information to a user via a network,
Skill information storage means for acquiring individual skill information before and after completion of a given curriculum and storing it in the storage unit as skill information;
Based on the skill information of the user having the first attribute and the skill information accumulated in the storage unit, the prediction calculation of the skill prediction information when the user completes the given education course is performed, and the calculation result is obtained. Skill information prediction means for providing skill prediction information to the user;
Program that causes the computer to function. A program for providing information to a user via a network,
Recruitment information that acquires job offer information including expected skill information expected from a user having the first attribute from a user having the second attribute, and stores it in the storage unit in association with the identification information of the user having the second attribute Storage means;
Personal information storage means for acquiring personal information including skill information and profile information from a user having a first attribute, and storing the personal information in a storage unit in association with identification information of the user having the first attribute;
Based on the job information and the personal information, the computer functions as a matching means for searching for a combination of a user having a first attribute and a user having a second attribute that satisfies a given matching criterion,
The job information storage means includes
As the expected skill information, from the user having the second attribute, expected skill information for each field is obtained for a plurality of fields expected from the user having the first attribute, and the identification information of the user having the second attribute Is stored in the storage unit in association with
The personal information storage means includes
As the skill information, from the user having the first attribute, to obtain the expected skill information by field for the plurality of fields, accumulate in the storage unit in association with the identification information of the user having the first attribute,
The matching means includes
Comparing the field-specific skill information for the plurality of fields of the user having the first attribute and the field-specific expected skill information for the plurality of fields of the user having the second attribute, based on the comparison result, A program for searching for a combination that satisfies given matching criteria.   A computer-readable information storage medium, wherein the program according to claim 13 or h14 is stored. An information providing method for providing information to a user via a network using a computer,
Skill information accumulation step of acquiring individual skill information before and after completion of a given curriculum and accumulating it as skill information in the storage unit,
Based on the skill information of the user having the first attribute and the skill information accumulated in the storage unit, the prediction calculation of the skill prediction information when the user completes the given education course is performed, and the calculation result is obtained. A skill information prediction step of providing skill prediction information to the user. An information providing method for providing information to a user via a network using a computer,
Recruitment information that acquires job offer information including expected skill information expected from a user having the first attribute from a user having the second attribute, and stores it in the storage unit in association with the identification information of the user having the second attribute An accumulation step;
Acquiring personal information including skill information and profile information from the user having the first attribute, and storing the personal information in the storage unit in association with the identification information of the user having the first attribute;
A matching step of searching for a combination of a user having a first attribute and a user having a second attribute satisfying a given matching criterion based on the job information and the personal information,
In the job information accumulation step,
As the expected skill information, from the user having the second attribute, expected skill information for each field is obtained for a plurality of fields expected from the user having the first attribute, and the identification information of the user having the second attribute Is stored in the storage unit in association with
In the personal information storage means,
As the skill information, from the user having the first attribute, to obtain the expected skill information by field for the plurality of fields, accumulate in the storage unit in association with the identification information of the user having the first attribute,
In the matching,
Comparing the field-specific skill information for the plurality of fields of the user having the first attribute and the field-specific expected skill information for the plurality of fields of the user having the second attribute, based on the comparison result, An information providing method for searching for the combination satisfying a given matching criterion.