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- 저자 : Lingjun Fu (검색결과 1 건)
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A multimodal deep learning approach for online course recommendation
Weiwei Deng,Lingjun Fu,Han Chen 한국지능정보시스템학회 2022 한국지능정보시스템학회 학술대회논문집 Vol.2022 No.6
With the rapid development of massive open online course (MOOC) platforms, learners are overloaded by numerous online courses. Many online course recommendation methods have been developed to facilitate learners to find suitable courses on the platforms. However, existing methods mainly focus on mining textual data and are inflexible to incorporate other types of data, which also benefit course recommendation. To bridge this gap, we propose a multimodal deep learning approach that leverages multiple types of course data for online course recommendation. The proposed approach employs multiple embedding techniques to process textual, relational, and categorical course data and uses the processed data to profile courses and learners for course recommendation. Experimental results on a real-world dataset show that the proposed approach outperforms multiple baselines in terms of precision and mean average precision.
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