| 摘要 |
A web-based education system enables instructors to prepare and present online education courses and enables students to locate and participate in available courses. A machine learning algorithm generates a topic-based representation of courses and generates a topic-based representation of user interests. The web-education system then enables users to find relevant courses using the topic-based representations. Recommended courses are ranked according to factors such as relevance to the user, popularity, and course rating.
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