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Evaluation 1 Applying 5-fold cross validation strategy: 80% of the data is trained; 20% is tested randomly. The number of neighbors used for ranking k ¡ô N, is differentiated from 10 to 50 Compute predicting ratings of 3 recommendation algorithms: Item-based collaborative filtering, Content-based filtering, and our proposed Dynamic weighed hybrid filtering |
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