Fig 1.
Overview of proposed HCF-CRS framework for movies recommendation.
Fig 2.
CBF algorithm.
Fig 3.
Fuzzy algorithm.
Fig 4.
Membership function for input variable ‘similarity’ and ‘dissimilarity’.
Fig 5.
Membership function for the output variable ‘predicted rating’.
Table 1.
Fuzzy inference rules.
Fig 6.
Conformal prediction algorithm.
Table 2.
Confusion matrix.
Fig 7.
Evaluation results of using content-based Fuzzy approach and HCF-CRS on MovieLens.
Fig 8.
Evaluation results of using content-based Fuzzy approach and HCF-CRS on movie Tweetings.
Table 3.
Average MAE of all three proposed techniques.
Fig 9.
Comparison of Mean Absolute Error (MAE) between different RS’s using MovieLens dataset.
Fig 10.
Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.
Fig 11.
Comparison of Mean Absolute Error (MAE), precision, recall and F-measure between different RS’s using movie Tweetings dataset.