HIGHLIGHTS
- who: Ziqian, Xu and Huai`an Campus, of Nanjing from the Forestry University, Jiangsu, China have published the research: Study on Personalized Recommendation Algorithm of Online Educational Resources Based on Knowledge Association, in the Journal: Computational Intelligence and Neuroscience of 20/09/2022
- what: The aim of this step is to avoid the impact of interference data on the effect of resource recommendation.
- how: To overcome the problems low accuracy low recommendation efficiency and low user satisfaction educational resources recommendation algorithm this paper proposes a personalized recommendation algorithm for online educational resources based . . .
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