Intelligent interdisciplinary education resource integration and recommendation system

• Main Authors: MIAO PEIZHOU, GU WEI, WANG LINA, GUO KEXIN
• Format: Patent
• Language: Chinese; English
• Published: 29.10.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention belongs to the technical field of learning recommendation, and particularly relates to an intelligent interdisciplinary education resource integration and recommendation system which comprises a resource integration module, a resource recommendation module and a feedback information module. Searching results related to the same knowledge point are aggregated and filtered by adopting an aggregation filtering method, and key contents of subject education resources can be extracted; according to the method, subject education resources are expressed as a graph structure through a graph isomorphic network, neighborhood features of each node and edge in the graph isomorphic network are extracted, aggregation and conversion are carried out through a graph convolutional layer and a disturbance adversarial function, potential features and relationships of knowledge points can be deeply mined, and an accurate and effective basis is provided for recommended education resources; learning progress and feedba