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Deep Exercise Recommendation Model
2019
International Journal of Modeling and Optimization
In online education scenario, recommending exercises for students is an attractive research topic. In this paper, we propose a new hybrid recommendation model that combines deep collaborative filtering (DeepCF) component with wide linear component. The former incorporates stacked denoising auto-encoder(SDAE) into matrix factorization and the latter is general linear component. In DeepCF component, we employ SDAE to learn low dimension latent feature of a student's feature and an item's feature
doi:10.7763/ijmo.2019.v9.677
fatcat:zlghod2ugjetlghcod3onoewgq