Research on Online Learners’ Course Recommendation System Based on Knowledge Atlas in Smart Education Cloud Platform

At present, there are still some problems in the application of recommendation algorithm in course, such as data sparseness, lack of knowledge logical relationship, and lack of explanation. Therefore, in this paper, the recommendation system of course for online learners based on knowledge map is im...

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Bibliographic Details
Published inWireless communications and mobile computing Vol. 2022; pp. 1 - 8
Main Authors Feng, Jianwen, Lin, Xuan
Format Journal Article
LanguageEnglish
Published Oxford Hindawi 27.05.2022
John Wiley & Sons, Inc
Subjects
Accuracy
Algorithms
Cognition & reasoning
Collaboration
Distance learning
Interdisciplinary subjects
Knowledge
Performance evaluation
R&D
Recommender systems
Research & development
Science
Semantics
Sparsity
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Summary:At present, there are still some problems in the application of recommendation algorithm in course, such as data sparseness, lack of knowledge logical relationship, and lack of explanation. Therefore, in this paper, the recommendation system of course for online learners based on knowledge map is implemented where different functional modules are designed, and the recommendation model is optimized based on the loss function. In addition, a recommendation algorithm is designed, which selects the data set, tests the algorithm based on knowledge map, and mainly evaluates the performance from the rate of click-through predicted evaluation, accuracy rate, and recall rate. The results show that the overall performance of online learner course recommendation system based on knowledge is excellent.
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ISSN:1530-8669
1530-8677
DOI:10.1155/2022/5043838