Research on Ideological Course Recommendation System based on Support Vector Machine

He Zhang

2022

Abstract

With the deepening of students’ Ideological education in Colleges and universities, as the main channel to cultivate students’ world outlook, values, outlook on life and socialist core values, ideological courses occupy an important position in College Ideological education. In view of the problems existing in the curriculum of Ideological education in Colleges and universities, such as single form, weak pertinence, lack of synergy and unable to form a personalized collaborative education mechanism, a college ideological Curriculum recommendation system based on improved collaborative filtering technology is developed, which adopts an improved collaborative filtering algorithm based on hybrid, By introducing the gradual forgetting curve based on the timeliness change of user interest, the disadvantages of traditional collaborative filtering algorithms such as low efficiency, weak adaptability and novelty elimination are better solved. In order to solve the problems of long server response time and low user preference for the system recommendation results in the practical application of the recommendation system based on knowledge map, the research on the curriculum ideological Teaching Resource Recommendation System Based on big data is carried out. In the hardware part, the selection of underlying physical host and database server are designed; In the software part, this paper designs the reading and search of curriculum ideological teaching resources based on big data.

Paper Citation

in Harvard Style

Zhang H. (2022). Research on Ideological Course Recommendation System based on Support Vector Machine. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 757-761. DOI: 10.5220/0011289900003440

in Bibtex Style

@conference{bdedm22,
author={He Zhang},
title={Research on Ideological Course Recommendation System based on Support Vector Machine},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={757-761},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011289900003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Research on Ideological Course Recommendation System based on Support Vector Machine
SN - 978-989-758-593-7
AU - Zhang H.
PY - 2022
SP - 757
EP - 761
DO - 10.5220/0011289900003440