Teacher recommendation method and device
A recommendation method and teacher's technology, which is applied in character and pattern recognition, instruments, electronic digital data processing, etc., can solve the problems of inability to teach students in accordance with their aptitude, and achieve the effect of maximizing the use of teacher resources
Inactive Publication Date: 2020-03-24
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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Problems solved by technology
[0004] However, with the existing technology, it is impossible to achieve the purpose of teaching students in accordance with their aptitude and maximizing the use of teacher resources because only matching teachers and students based on their profile information and personality characteristics
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[0043] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments.
[0044] figure 1 A schematic flowchart of a teacher recommendation method is provided for the embodiment of the present invention, as shown in figure 1 As shown, the method will be described in detail below.
[0045] In step S10, the characteristic information of the student is obtained to construct a corresponding student portrait, wherein the characteristic information of the student includes the characteristic information of the student's learning, social interaction and differences.
[0046] In step S20, the student portrait is trained through ...
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The invention provides a teacher recommendation method and device, and relates to the technical field of machine learning, in particular to a teacher recommendation method and device. The teacher recommendation method comprises the steps of obtaining feature information of students to construct corresponding student portraits, wherein feature information of students comprises feature information of student learning, social contact and differences; training the student portraits through a teaching feature rule model to obtain teacher features required by the students, and recommending teachersaccording to the teacher features and preset rules. According to the invention, proper teachers can be recommended to students, and teaching according to materials is realized, thereby achieving the purpose of maximum utilization of teacher resources.
Description
technical field [0001] The present invention relates to the technical field of machine learning, in particular to a teacher recommendation method and device. Background technique [0002] In recent years, many large-scale training and education institutions have emerged in China. These training institutions have established disciplines with different characteristics and are equipped with many teachers to provide students with courses of various hobbies and subjects, such as Guzheng teaching, Mathematics teaching, etc. [0003] In the prior art, when parents and friends sign up for a certain subject training class for their children, the key factor in selecting the training class is to complete the matching of students and teachers based on the teacher-student profile information and personality test results. [0004] However, with existing technologies, matching teachers and students only based on their profile information and personality traits cannot achieve the purpose o...
Claims
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IPC IPC(8): G06F16/9535G06K9/62G06Q50/20
CPCG06F16/9535G06Q50/205G06F18/22
Inventor 宋静静
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD