Subject learning development recommendation system and subject learning development recommendation method based on data driving
A recommendation system and data-driven technology, applied in the field of information recommendation system in the field of education, can solve problems such as insufficient selection ability, inability to scientifically plan academic development, and difficulty in choosing examination subjects reasonably, so as to achieve accurate recommendation and reduce the possibility of decision-making mistakes Effect
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[0029] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0030] The invention is a data-driven subject learning and development recommendation system and method, wherein the recommendation system includes a data collection module, a recommendation algorithm module and a visual output module. Process such as figure 1 shown.
[0031] The specific implementation steps are as follows:
[0032] Step (1) Collect the student's subject grades, teacher's evaluation and psychological evaluation results through the terminal, form a corresponding data table, and store it in the recommendation database.
[0033] Step (2) Call the data in the database according to the established rules, calculate the subject recommendation index, analyze the recommendation index, analyze the relationship between subjects and classify students, and finally generate the recommendation results of subject learning and development....
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