辽宁大学学报（自然科学版）2024，Vol.51Issue(2)：169-178,10.
基于图卷积神经网络的线上教育资源群组推荐方法
Online Education Resource Group Recommendation Method Based on Graph Convolutional Neural Network
摘要
Abstract
Most of the online educational resources recommendation methods are oriented to a single learner.However,many learning activities are carried out in the form of a group of multiple learners.In view of the above situation,firstly,we model the social network between group members,and use the learner's trust,similarity and professionalism,as well as the personality degree that measures the weight of the relationship between members as the feature information,and then obtain personal preferences by learning to aggregate neighbor information through graph convolutional neural network.Secondly,the final preference of the group was obtained by using the preference fusion strategy.Finally,educational resources were recommended for online learning groups according to the project scores.Experimental results show that the proposed method effectively improves the accuracy and satisfaction of online learners.关键词
群组推荐/成员关系/图卷积神经网络Key words
group recommendation/membership/graph convolutional neural network分类
信息技术与安全科学引用本文复制引用
周翰逊,张硕,张昉,孔壮壮,田思雨,王龙,郭薇,毛艳娥..基于图卷积神经网络的线上教育资源群组推荐方法[J].辽宁大学学报（自然科学版）,2024,51(2):169-178,10.基金项目
辽宁省重点攻关项目(LZD20202) （LZD20202）
辽宁省教育厅项目(JYT19053) （JYT19053）
辽宁省自然科学基金项目(2020-MS-239) （2020-MS-239）
辽宁大学教学改革项目(2020YBXM127) （2020YBXM127）
沈阳航空航天大学研究生教育教学改革项目(YJSJG202211) （YJSJG202211）
沈阳航空航天大学校级教学改革项目(JG2023018) （JG2023018）
辽宁省普通高等教育本科教学改革研究项目(辽教办[2021]254号) （辽教办[2021]254号）
