Movie Recommender System Based On Heterogeneous Graph Neural Networks

doi:10.1109/ICSAI57119.2022.10005557

	Movie Recommender System Based On Heterogeneous Graph Neural Networks
	Rahman, Khalil Ur; Ma, Huifang; Arshad, Ali; Baheer, Azad Khan
	2022
会议名称	8th International Conference on Systems and Informatics, ICSAI 2022
会议录名称	ICSAI 2022 - 8th International Conference on Systems and Informatics
会议日期	December 10, 2022 - December 12, 2022
会议地点	Kunming, China
出版者	Institute of Electrical and Electronics Engineers Inc.
摘要	Heterogeneous Graph Neural Networks (GNNs) have shown good performance as a robust deep learning-based graph representation technique and have gained much research interest. Although it has adequately taken into account networks with a number of links and nodes, heterogeneity and the volume of semantic data provide significant obstacles. The attention mechanism, having great potential in a variety of areas, is one of the most interesting new developments in deep learning. This research demonstrates a system with two crucial attributes for embedding users and movies. The proposed framework achieves multi-level semantic attention using GNNs. We incorporated IMDB and Netflix Movie and TV Show datasets and merged them into a single consolidated dataset that was further utilized for results analysis. This paper mainly contributes a technique for movie recommendation using heterogeneous graphs and multi-level Semitics. We have proposed a framework that incorporates viewer and Director as an entity. During the research, we also combined two datasets in accordance with the proposed framework. After that, we evaluated the performance of the graph neural network on the heterogeneous graph. We discovered that the proposed model outperformed the current methodologies while using the proposed technique. Our model multilevel-Semitics-based framework shows effective results. © 2022 IEEE.
关键词	Deep learning Motion pictures Semantics &Y2
DOI	10.1109/ICSAI57119.2022.10005557
收录类别	EI
语种	英语
EI入藏号	20230513463484
EI主题词	Graph neural networks
EI分类号	461.4 Ergonomics and Human Factors Engineering ; 723.4 Artificial Intelligence
原始文献类型	Conference article (CA)
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.nwnu.edu.cn/handle/39RV6HYL/83159
专题	实体学院_计算机科学与工程学院_计算机科学与技术系实体学院_计算机科学与工程学院
通讯作者	Rahman, Khalil Ur
作者单位	Northwest Normal University, Department of Computer Science and Technology, Lanzhou; 730000, China
第一作者单位	计算机科学与技术系
通讯作者单位	计算机科学与技术系
第一作者的第一单位	计算机科学与技术系
推荐引用方式 GB/T 7714	Rahman, Khalil Ur,Ma, Huifang,Arshad, Ali,et al. Movie Recommender System Based On Heterogeneous Graph Neural Networks[C]:Institute of Electrical and Electronics Engineers Inc.,2022.