Abstract:To address the problems of existing online education curriculum recommendation methods such as low recommendation accuracy, an online education course recommendation algorithm (BTCBMA) considering learner learning quality is proposed. Firstly, the BERT model is combined with the TextCNN model to implement the preliminary extraction of text features. Secondly, the convolution neural networks and BiLSTM networks are used to capture deep features and temporal features in data. Finally, a multi-head attention mech… Show more
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