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Application of Conditional Random Field Model Based on Machine Learning in Online and Offline Integrated Educational Resource Recommendation
2022
Mathematical Problems in Engineering
It is of great significance to mine the learning resources that learners are interested in from massive data and recommend appropriate educational resources to them according to the characteristics of students. To improve the accuracy of educational resource recommendation, this paper proposes an educational resource recommendation system based on a graph attention network and conditional random field fusion model. It builds all comments for each student and educational resource into a comment
doi:10.1155/2022/5746671
doaj:67119a8471244149b3244aef203dfb62
fatcat:gyhis7codvdszipz755mvjna2m