Ideological and Political Education Recommendation System Based on AHP and Improved Collaborative Filtering Algorithm

Abstract

Aiming to solve the problem that ideological and political education courses in universities are not targeted enough and cannot form personalized recommendations, this paper proposes an ideological and political education recommendation system based on analytic hierarchy process (AHP) and improved collaborative filtering algorithm. Firstly, considering the time effect of student scoring, the recommendation model is transformed into Markov decision process. Then, by combining the collaborative filtering algorithm with reinforcing learning rewards and punishments, an optimization model of student scoring based on timestamp information is constructed. To quantify the degree of students' preference for courses, the analytic hierarchy process is used to convert the students' behavior data into the preference value of courses. To solve the problem of data scarcity, the missing values are predicted by the prediction score rounding filling and the optimization boundary completion method. Experimental results show that the feasibility of the proposed system is verified, and the system has vital accuracy and convergence performance. The ideological and political education recommendation system proposed in this paper has important reference significance for promoting ideological and political education in the era of big data.

Practical Exploration of Ideological and Political Education in Colleges and Universities under the Perspective of Collaborative Parenting

“…Personalized recommendation system. Through collaborative filtering and reinforcement learning methods to achieve the optimization of student learning scores and quantify the degree of student preference for ideological and political education courses, providing a reference to improve the relevance of ideological and political education teaching content [11]. Song, B. et al analyzed the impact of digital virtual reality technology on ideological and political education in colleges and universities through controlled experiments; relying on virtual reality technology can better connect ideological and political education teaching content with students.…”

Unmasking the challenges in ideological and political education in China: A thematic review

“…As a country with rich cultural traditions and global influence, ideological and political education holds an irreplaceable strategic position for China [ [3] , [4] , [5] , [6] ]. The government's commitment to this education reflects its belief in the significance of a strong moral foundation and understanding of national values for sustainable development and social harmony [ 2 ].…”

Research on the ideologic and politic education of college students based on big data analysis

“…With the importance of big data technology in the world and the new requirements of the Party Central Committee for ideological and political education in higher education institutions in the new era, big data technology has been applied to the teaching management of ideological and political education in higher education institution [1][2]. Traditional ideological and political education in higher education institutions is mainly reflected in the classroom teaching of ideological and political education, and many teachers of ideological and political education have old teaching contents, single teaching methods, dull and lack of vitality in teaching form, and most of them teach students in "duckfilling" and dogmatic way [3][4].…”

“…1. Ideologic and politic education in higher education institution widely uses the Internet in curriculum teaching, daily management, campus cultural activities, social practice and communication, which has formed a large quantity of data.…”