協(xié)同過濾技術(shù)在高校選課推薦系統(tǒng)中的應(yīng)用研究
[Abstract]:At present, the application of the information-based course selection system in colleges and universities is very common. Almost all colleges and universities use the educational administration network management information system to provide various services for students. Students can choose the courses they are interested in according to the various elective courses offered by the system, and complete their studies with credit. Although most of the courses selection systems in colleges and universities can provide students with basic course selection functions, the intelligent degree of the course selection system is not enough to provide the recommended function for students to choose courses. Students in the selection of courses are very blind, their own professional understanding is not enough, there is no direction. Many students are usually to complete the credit, the purpose of the course is not clear, whether the course is helpful to their professional development and will not be considered. As a result, the selected courses are of little help to their entire academic planning. Therefore, the educational administration system in colleges and universities urgently needs a more intelligent course selection system. The system can solve the blindness problems existing in the course selection of students through intelligent recommendation. It is convenient for students to choose classes and provide more convenient service for students. This paper mainly studies the integration of collaborative filtering technology into the course selection system of colleges and universities. Through the correlation between courses and the correlation between students, the scoring matrix is constructed according to the students' scores on the courses they have learned. According to the collaborative filtering algorithm, the prediction score matrix is generated, the recommendation list is generated, and the course that he may like to be recommended to the student is intelligently recommended. Students choose courses through the recommended courses provided by the system. The recommended courses are often more interesting, professional oriented and more purposeful. Through the study of elective courses, students are more helpful to the whole learning system of students, and achieve the goal of helping students expand their knowledge and improve their professional knowledge system through elective courses. The experimental results show that, based on the traditional collaborative filtering recommendation technology, the improved user collaborative filtering algorithm based on item and user weights is used to realize the course recommendation, and the recommendation accuracy is higher. The application of the improved collaborative filtering technology in the course selection recommendation system of colleges and universities is very good for the students to recommend intelligent elective courses, the recommended courses for students have good rationality and accuracy. It realizes more intelligent course selection for students, which has great practicability and practical significance.
【學(xué)位授予單位】:華僑大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP391.3
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