A method of intelligent course selection recommendation based on collaborative filtering
A collaborative filtering and recommendation method technology, applied in the fields of instruments, digital data processing, computer parts, etc., can solve problems such as waste of course resources and decline in the quality of course selection, to avoid blindness, improve the quality of course selection, improve learning interest and positive effect
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[0059] Example 1
[0060] First, according to its own actual situation, after data governance, the school establishes a cloud campus big data center to store student information data.
[0061] On the basis of the data center, students are asked to log in to the course selection system for the first time every semester to fill in the information when selecting courses, obtain the student information data through the educational administration system, extract the student feature data set X after data processing, and calculate the similar student set D of the students to be recommended. .
[0062] The sample data set consists of the students to be recommended E=(e 1 ,e 2 ,...,e 6 ,e 7 ) and the set of previous students C={x 1 ,x 2 ,x 3 ,...,x n}composition.
[0063] Selected features include:
[0064] Obtain the basic personal information of students in the educational administration system, extract the three characteristics of college, gender, and major, as well as the...
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