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FicureE 2: Rating frequency of all books.

Figure 2 FicureE 2: Rating frequency of all books.

Related Figures (10)

Figure 1: Architecture of the proposed collaborative recommender system.
Figure 1: Architecture of the proposed collaborative recommender system.
Ficure 4: Book distribution along publication year.
Ficure 4: Book distribution along publication year.
Figure 3: Rating frequency of all users.
Figure 3: Rating frequency of all users.
Ficure 6: The distribution of ratings after data preprocessing. Figure 5: The distribution of ratings before data preprocessing.
Ficure 6: The distribution of ratings after data preprocessing. Figure 5: The distribution of ratings before data preprocessing.
TaBLe 1: Evaluating RMSE of algorithm SVD on 5 splits. enhanced by cross-validated grid search over a parameter grid. As shown in Table 2 the mean error rate [26] of the enhanced model decreased from 0.2739 to 0.1994.
TaBLe 1: Evaluating RMSE of algorithm SVD on 5 splits. enhanced by cross-validated grid search over a parameter grid. As shown in Table 2 the mean error rate [26] of the enhanced model decreased from 0.2739 to 0.1994.
Figure 8: The comparison of algorithms on MAE.
Figure 8: The comparison of algorithms on MAE.
FicureE 7: The comparison of algorithms on RMSE.
FicureE 7: The comparison of algorithms on RMSE.
TABLE 3: Confusion matrix report registered by SVD model.
TABLE 3: Confusion matrix report registered by SVD model.
TABLE 2: Evaluating RMSE and MAE of algorithm SVD on 5 splits after parameter tuning.
TABLE 2: Evaluating RMSE and MAE of algorithm SVD on 5 splits after parameter tuning.
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