Cuisine
发表于 2025-3-25 07:04:30
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小教堂
发表于 2025-3-25 08:52:06
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反应
发表于 2025-3-25 12:40:59
Adjustment to Empire, 1763–1770 attribute similarity and item similarity to improve the accuracy of similarity. Experiments using two reals datasets show that the proposed method relieves cold start and data sparsity issues and improves the prediction accuracy and recommendation quality.
Arctic
发表于 2025-3-25 16:05:31
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烧瓶
发表于 2025-3-25 20:58:32
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丰满有漂亮
发表于 2025-3-26 01:06:50
Explainable Matrix Factorization with Constraints on Neighborhood in the Latent Space change the method of calculation of the explainability matrix and consider the neighbors’ weight to further improve performance. We use the benchmark data set (MovieLens) to demonstrate the effectiveness of the proposed Neighborhood-based Explainable Matrix Factorization. And the result shows a great improvement for accuracy and explainability.
模仿
发表于 2025-3-26 05:05:39
An Entropy-Based Similarity Measure for Collaborative Filteringmation entropy. Performance of the proposed measure is investigated through various experiments to find that it outperforms the existing similarity measures especially in a small-scaled sparse dataset.
诱惑
发表于 2025-3-26 10:48:49
Three-Segment Similarity Measure Model for Collaborative Filtering attribute similarity and item similarity to improve the accuracy of similarity. Experiments using two reals datasets show that the proposed method relieves cold start and data sparsity issues and improves the prediction accuracy and recommendation quality.
FLUSH
发表于 2025-3-26 13:29:01
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消耗
发表于 2025-3-26 17:05:46
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