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A Cross-Domain Collaborative Filtering Algorithm Based on Feature Construction and Locally Weighted Linear Regression
Cross-domain collaborative filtering (CDCF) solves the sparsity problem by transferring rating knowledge from auxiliary domains. Obviously, different auxiliary domains have different importance to the target domain. However, previous works cannot evaluate effectively the significance of different au...
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| 主要な著者: | , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Hindawi Limited
2018-01-01
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| シリーズ: | Computational Intelligence and Neuroscience |
| オンライン･アクセス: | http://dx.doi.org/10.1155/2018/1425365 |
| タグ: |
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