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About Research On Online Learning Resource Recommendation 2020
This document discusses a research paper that proposes an online learning resource recommendation method based on Wide & Deep and ELMo models. The method aims to improve recommendation accuracy and alleviate cold start problems. It uses Wide&Deep to deeply explore learner and course feature relationships in sparse, high-dimensional data by automatically learning feature combinations. It also uses the ELMo language model to pre-train learner text features to extract more accurate information and improve recommendation generalization performance. The method was tested on a university's online learning platform dataset.
Detailed Information
| Author: | ['imran'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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