Research Article
A Personalized Recommendation Method for Online Painting Education Courseware Based on Hyperheuristic Algorithm
@INPROCEEDINGS{10.1007/978-3-031-50549-2_15, author={Rong Yu and Bomei Tan}, title={A Personalized Recommendation Method for Online Painting Education Courseware Based on Hyperheuristic Algorithm}, proceedings={Advanced Hybrid Information Processing. 7th EAI International Conference, ADHIP 2023, Harbin, China, September 22-24, 2023, Proceedings, Part III}, proceedings_a={ADHIP PART 3}, year={2024}, month={3}, keywords={Hyperheuristic Algorithm Online Education Painting Courses Courseware Recommendation Personalized Recommendation Ant Colony}, doi={10.1007/978-3-031-50549-2_15} }- Rong Yu
Bomei Tan
Year: 2024
A Personalized Recommendation Method for Online Painting Education Courseware Based on Hyperheuristic Algorithm
ADHIP PART 3
Springer
DOI: 10.1007/978-3-031-50549-2_15
Abstract
Aiming at the problem of high similarity in online education courseware for painting, which leads to poor recommendation effectiveness. In order to optimize the recommendation effect of online education courseware for painting and improve the effectiveness of online education for painting, a personalized recommendation method for online education courseware for painting based on hyper heuristic algorithm is proposed. This paper introduces the calculation of keyword weight of personalized recommendation, the calculation of similarity of online painting education courseware, the calculation of user similarity, and the Committed step of the calculation of similarity between users and online painting education courseware. The Ant colony optimization algorithms in the super heuristic algorithm is used to design the personalized recommendation process and complete the theoretical research on personalized recommendation of online painting education courseware. The experimental results indicate that this method the average accuracy of this method is 91% with interest and 86% with no interest. When the number of people in the same period increases to 1000, the growth rate of system throughput slows down and the growth rate is relatively small. This method can recommend high-quality online education courseware for painting, which helps improve the learning experience and effectiveness of users for online education courseware for painting.
