Research on Personalized Course Recommendation Algorithm Based on Att-CIN-DNN under Online Education Cloud Platform
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초록
A personalized course recommendation algorithm based on deep learning in an online education cloud platformis proposed to address the challenges associated with effective information extraction and insufficient featureextraction. First, the user potential preferences are obtained through the course summary, course reviewinformation, user course history, and other data. Second, by embedding, the word vector is turned into a lowdimensionaland dense real-valued vector, which is then fed into the compressed interaction network-deepneural network model. Finally, considering that learners and different interactive courses play different roles inthe final recommendation and prediction results, an attention mechanism is introduced. The accuracy, recallrate, and F1 value of the proposed method are 0.851, 0.856, and 0.853, respectively, when the length of therecommendation list K is 35. Consequently, the proposed strategy outperforms the comparison model in termsof recommending customized course resources.
Abstract
A personalized course recommendation algorithm based on deep learning in an online education cloud platformis proposed to address the challenges associated with effective information extraction and insufficient featureextraction. First, the user potential preferences are obtained through the course summary, course reviewinformation, user course history, and other data. Second, by embedding, the word vector is turned into a lowdimensionaland dense real-valued vector, which is then fed into the compressed interaction network-deepneural network model. Finally, considering that learners and different interactive courses play different roles inthe final recommendation and prediction results, an attention mechanism is introduced. The accuracy, recallrate, and F1 value of the proposed method are 0.851, 0.856, and 0.853, respectively, when the length of therecommendation list K is 35. Consequently, the proposed strategy outperforms the comparison model in termsof recommending customized course resources.
참고문헌 (27)
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