@article{ART003104517},
author={Purevsuren Chimeddorj and Doohyun Kim},
title={Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={7},
pages={89-98}
TY - JOUR
AU - Purevsuren Chimeddorj
AU - Doohyun Kim
TI - Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 7
PB - The Korean Society Of Computer And Information
SP - 89
EP - 98
SN - 1598-849X
AB - In this paper, we propose a system for recommending lecture videos at the chapter level, addressing the balance between accuracy and processing speed in chapter-level video recommendations. Specifically, it has been observed that enhancing recommendation accuracy reduces processing speed, while increasing processing speed decreases accuracy. To mitigate this trade-off, a hybrid approach is proposed, utilizing techniques such as TF-IDF, k-means++ clustering, and Graph Neural Networks (GNN). The approach involves pre-constructing clusters based on chapter similarity to reduce computational load during recommendations, thereby improving processing speed, and applying GNN to the graph of clusters as nodes to enhance recommendation accuracy. Experimental results indicate that the use of GNN resulted in an approximate 19.7% increase in recommendation accuracy, as measured by the Mean Reciprocal Rank (MRR) metric, and an approximate 27.7% increase in precision defined by similarities. These findings are expected to contribute to the development of a learning system that recommends more suitable video chapters in response to learners' queries.
KW - Graph Neural Network;K-Mean++ Clustering;Video Lecture Chapter Recommendation
DO -
UR -
ER -
Purevsuren Chimeddorj and Doohyun Kim. (2024). Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks. Journal of The Korea Society of Computer and Information, 29(7), 89-98.
Purevsuren Chimeddorj and Doohyun Kim. 2024, "Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks", Journal of The Korea Society of Computer and Information, vol.29, no.7 pp.89-98.
Purevsuren Chimeddorj, Doohyun Kim "Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks" Journal of The Korea Society of Computer and Information 29.7 pp.89-98 (2024) : 89.
Purevsuren Chimeddorj, Doohyun Kim. Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks. 2024; 29(7), 89-98.
Purevsuren Chimeddorj and Doohyun Kim. "Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks" Journal of The Korea Society of Computer and Information 29, no.7 (2024) : 89-98.
Purevsuren Chimeddorj; Doohyun Kim. Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks. Journal of The Korea Society of Computer and Information, 29(7), 89-98.
Purevsuren Chimeddorj; Doohyun Kim. Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks. Journal of The Korea Society of Computer and Information. 2024; 29(7) 89-98.
Purevsuren Chimeddorj, Doohyun Kim. Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks. 2024; 29(7), 89-98.
Purevsuren Chimeddorj and Doohyun Kim. "Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks" Journal of The Korea Society of Computer and Information 29, no.7 (2024) : 89-98.
