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Fig 1.

Overview of proposed HCF-CRS framework for movies recommendation.

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Fig 2.

CBF algorithm.

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Fig 3.

Fuzzy algorithm.

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Fig 4.

Membership function for input variable ‘similarity’ and ‘dissimilarity’.

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Fig 5.

Membership function for the output variable ‘predicted rating’.

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Table 1.

Fuzzy inference rules.

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Fig 6.

Conformal prediction algorithm.

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Table 2.

Confusion matrix.

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Table 2 Expand

Fig 7.

Evaluation results of using content-based Fuzzy approach and HCF-CRS on MovieLens.

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Fig 8.

Evaluation results of using content-based Fuzzy approach and HCF-CRS on movie Tweetings.

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Table 3.

Average MAE of all three proposed techniques.

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Table 3 Expand

Fig 9.

Comparison of Mean Absolute Error (MAE) between different RS’s using MovieLens dataset.

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Fig 10.

Comparison of precision, recall and F-measure between different RS’s using MovieLens dataset.

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Fig 11.

Comparison of Mean Absolute Error (MAE), precision, recall and F-measure between different RS’s using movie Tweetings dataset.

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Fig 11 Expand