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- W4386098511 abstract "To address the user cold start problem of behavior log recommendation algorithm, Focor course recommendation algorithm based on course selection probability calculation is proposed. Focor uses genetic algorithm to filter the optimal feature subset from the feature set composed of course selection dataset, and uses LightGBM to train a binary classification model on the optimal feature subset for whether to select a course or not, and makes course recommendation based on the course selection probability output from the model. The course recommendation is based on the probability of course selection output from the model. The experimental results show that the proposed algorithm, Focor course recommendation algorithm, is compared with LightGBM, XGBoost, decision tree, random forest, logistic regression and other algorithms on real data sets for experiments and performance evaluation, and achieves better performance in terms of F1 scores." @default.
- W4386098511 created "2023-08-24" @default.
- W4386098511 creator A5016590465 @default.
- W4386098511 date "2023-08-23" @default.
- W4386098511 modified "2023-09-26" @default.
- W4386098511 title "Research on course recommendation technology based on behavior log of online education platform" @default.
- W4386098511 doi "https://doi.org/10.1117/12.2692450" @default.
- W4386098511 hasPublicationYear "2023" @default.
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