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Professional matching method for character characteristic vector based on European distance and computer program

A eigenvector and Euclidean distance technology, applied in computing, special data processing applications, instruments, etc., can solve problems such as the increase of students' future life direction, the lack of direct correlation between personality characteristics, and the inability to make scientific choices.

Inactive Publication Date: 2018-11-20
黄彦辉
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  • Claims
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Problems solved by technology

[0003] In summary, the problems in the prior art are: Students and their parents do not have a clear understanding of the student's personality traits and university majors, resulting in the inability to scientifically choose a university major that is suitable for students to study, adding unnecessary risks to students' future life direction
[0004] The difficulty and significance of solving the above technical problems: Ordinary personality tests can only reveal the personality type and characteristics of the tester, but there is no direct relationship between personality characteristics and the corresponding relationship between university majors, and students cannot achieve the purpose of clarifying their future majors through ordinary tests

Method used

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  • Professional matching method for character characteristic vector based on European distance and computer program
  • Professional matching method for character characteristic vector based on European distance and computer program
  • Professional matching method for character characteristic vector based on European distance and computer program

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Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0035] Such as figure 1 As shown, the Euclidean distance-based character feature vector professional matching method provided by the embodiment of the present invention includes the following steps:

[0036] S101: Describe the multidimensional space of professional personality, which is used to model personality and professional characteristics;

[0037] S102: Professional feature vector, used to describe professional characteristics and ability requirements;

[0038] S103: character feature vector, used to describe the character and ability characteristics of the testee;

[0039] S104: A matching algorithm based on vec...

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Abstract

The invention belongs to the technical field of computer software and discloses a professional matching method for a character characteristic vector based on European distance and a computer program.The method comprises: obtaining multi-dimensional space of a professional character, professional characteristics and ability requirements, and the personality and ability characteristics of a testedperson; and calculating the matching degree of the personality characteristics of the tested person and majors by a matching algorithm based on a vector distance. The invention obtains the exact matchof the personality and the major through a series of personality test questions, and includes the multi-dimensional space for description of the major and the personality, major characteristic vectors, personality characteristic vectors and a vector distance-based matching algorithm.

Description

technical field [0001] The invention belongs to the technical field of computer software, and in particular relates to a professional matching method and a computer program based on Euclidean distance character feature vectors. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: During the process of applying for the college entrance examination, students and their parents are not clear about the majors that students are suitable for studying, especially starting from their own personality characteristics, there is no good algorithm-based technology to scientifically find the corresponding university majors. [0003] In summary, the problems in the prior art are: Students and their parents do not have a clear understanding of the students' personality characteristics and university majors, which makes it impossible to scientifically choose a university major that is suitable for students to study, and increases ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 黄彦辉
Owner 黄彦辉
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