Research Article
A Novel Nonadditive Collaborative-Filtering Approach Using Multicriteria Ratings
| Classification method | β | 1 | 1/2 | 1/3 | 1/4 | 1/5 | 1/6 | 1/7 | |
| Single-criterion rating | 0.545 | 0.676 | 0.735 | 0.762 | 0.776 | 0.784 | 0.789 | 0.793 | Average similarity | 0.546 | 0.681 | 0.742 | 0.770 | 0.785 | 0.794 | 0.799 | 0.803 | Worst-case similarity | 0.536 | 0.671 | 0.733 | 0.762 | 0.777 | 0.785 | 0.791 | 0.795 | Manhattan distance | 0.563 | 0.707 | 0.773 | 0.803 | 0.820 | 0.829 | 0.835 | 0.839 | Euclidean distance | 0.553 | 0.691 | 0.753 | 0.782 | 0.797 | 0.806 | 0.812 | 0.815 | Chebyshev distance | 0.553 | 0.688 | 0.749 | 0.777 | 0.792 | 0.801 | 0.806 | 0.810 | WAM | 0.569 | 0.682 | 0.735 | 0.756 | 0.769 | 0.793 | 0.789 | 0.792 | Non-additive approach | 0.657 | 0.719 | 0.751 | 0.779 | 0.797 | 0.822 | 0.837 | 0.851 |
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